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Sample records for highlights genetic risk

  1. Association analyses identify 38 susceptibility loci for inflammatory bowel disease and highlight shared genetic risk across populations.

    PubMed

    Liu, Jimmy Z; van Sommeren, Suzanne; Huang, Hailiang; Ng, Siew C; Alberts, Rudi; Takahashi, Atsushi; Ripke, Stephan; Lee, James C; Jostins, Luke; Shah, Tejas; Abedian, Shifteh; Cheon, Jae Hee; Cho, Judy; Daryani, Naser E; Franke, Lude; Fuyuno, Yuta; Hart, Ailsa; Juyal, Ramesh C; Juyal, Garima; Kim, Won Ho; Morris, Andrew P; Poustchi, Hossein; Newman, William G; Midha, Vandana; Orchard, Timothy R; Vahedi, Homayon; Sood, Ajit; Sung, Joseph J Y; Malekzadeh, Reza; Westra, Harm-Jan; Yamazaki, Keiko; Yang, Suk-Kyun; Barrett, Jeffrey C; Franke, Andre; Alizadeh, Behrooz Z; Parkes, Miles; B K, Thelma; Daly, Mark J; Kubo, Michiaki; Anderson, Carl A; Weersma, Rinse K

    2015-09-01

    Ulcerative colitis and Crohn's disease are the two main forms of inflammatory bowel disease (IBD). Here we report the first trans-ancestry association study of IBD, with genome-wide or Immunochip genotype data from an extended cohort of 86,640 European individuals and Immunochip data from 9,846 individuals of East Asian, Indian or Iranian descent. We implicate 38 loci in IBD risk for the first time. For the majority of the IBD risk loci, the direction and magnitude of effect are consistent in European and non-European cohorts. Nevertheless, we observe genetic heterogeneity between divergent populations at several established risk loci driven by differences in allele frequency (NOD2) or effect size (TNFSF15 and ATG16L1) or a combination of these factors (IL23R and IRGM). Our results provide biological insights into the pathogenesis of IBD and demonstrate the usefulness of trans-ancestry association studies for mapping loci associated with complex diseases and understanding genetic architecture across diverse populations. PMID:26192919

  2. Highlighting nonlinear patterns in population genetics datasets.

    PubMed

    Alanis-Lobato, Gregorio; Cannistraci, Carlo Vittorio; Eriksson, Anders; Manica, Andrea; Ravasi, Timothy

    2015-01-30

    Detecting structure in population genetics and case-control studies is important, as it exposes phenomena such as ecoclines, admixture and stratification. Principal Component Analysis (PCA) is a linear dimension-reduction technique commonly used for this purpose, but it struggles to reveal complex, nonlinear data patterns. In this paper we introduce non-centred Minimum Curvilinear Embedding (ncMCE), a nonlinear method to overcome this problem. Our analyses show that ncMCE can separate individuals into ethnic groups in cases in which PCA fails to reveal any clear structure. This increased discrimination power arises from ncMCE's ability to better capture the phylogenetic signal in the samples, whereas PCA better reflects their geographic relation. We also demonstrate how ncMCE can discover interesting patterns, even when the data has been poorly pre-processed. The juxtaposition of PCA and ncMCE visualisations provides a new standard of analysis with utility for discovering and validating significant linear/nonlinear complementary patterns in genetic data.

  3. Highlighting nonlinear patterns in population genetics datasets

    PubMed Central

    Alanis-Lobato, Gregorio; Cannistraci, Carlo Vittorio; Eriksson, Anders; Manica, Andrea; Ravasi, Timothy

    2015-01-01

    Detecting structure in population genetics and case-control studies is important, as it exposes phenomena such as ecoclines, admixture and stratification. Principal Component Analysis (PCA) is a linear dimension-reduction technique commonly used for this purpose, but it struggles to reveal complex, nonlinear data patterns. In this paper we introduce non-centred Minimum Curvilinear Embedding (ncMCE), a nonlinear method to overcome this problem. Our analyses show that ncMCE can separate individuals into ethnic groups in cases in which PCA fails to reveal any clear structure. This increased discrimination power arises from ncMCE's ability to better capture the phylogenetic signal in the samples, whereas PCA better reflects their geographic relation. We also demonstrate how ncMCE can discover interesting patterns, even when the data has been poorly pre-processed. The juxtaposition of PCA and ncMCE visualisations provides a new standard of analysis with utility for discovering and validating significant linear/nonlinear complementary patterns in genetic data. PMID:25633916

  4. Genetic association analyses highlight biological pathways underlying mitral valve prolapse

    PubMed Central

    Dina, Christian; Bouatia-Naji, Nabila; Tucker, Nathan; Delling, Francesca N.; Toomer, Katelynn; Durst, Ronen; Perrocheau, Maelle; Fernandez-Friera, Leticia; Solis, Jorge; Le Tourneau, Thierry; Chen, Ming-Huei; Probst, Vincent; Bosse, Yohan; Pibarot, Philippe; Zelenika, Diana; Lathrop, Mark; Hercberg, Serge; Roussel, Ronan; Benjamin, Emelia J.; Bonnet, Fabrice; Su Hao, LO; Dolmatova, Elena; Simonet, Floriane; Lecointe, Simon; Kyndt, Florence; Redon, Richard; Le Marec, Hervé; Froguel, Philippe; Ellinor, Patrick T.; Vasan, Ramachandran S.; Bruneval, Patrick; Norris, Russell A.; Milan, David J.; Slaugenhaupt, Susan A.; Levine, Robert A.; Schott, Jean-Jacques; Hagege, Albert A.; Jeunemaitre, Xavier

    2016-01-01

    Non-syndromic mitral valve prolapse (MVP) is a common degenerative cardiac valvulopathy of unknown aetiology that predisposes to mitral regurgitation, heart failure and sudden death1. Previous family and pathophysiological studies suggest a complex pattern of inheritance2–5. We performed a meta-analysis of two genome-wide association studies in 1,442 cases and 2,439 controls. We identified and replicated in 1,422 cases and 6,779 controls six loci and provide functional evidence for candidate genes. We highlight LMCD1 encoding a transcription factor6, for which morpholino knockdown in zebrafish results in atrioventricular (AV) valve regurgitation. A similar zebrafish phenotype was obtained for tensin1 (TNS1), a focal adhesion protein involved in cytoskeleton organization. We also show the expression of tensin1 during valve morphogenesis and describe enlarged posterior mitral leaflets in Tns1−/− mice. This study identifies the first risk loci for MVP and suggests new mechanisms involved in mitral valve regurgitation, the most common indication for mitral valve repair7. PMID:26301497

  5. Genetic association analyses highlight biological pathways underlying mitral valve prolapse.

    PubMed

    Dina, Christian; Bouatia-Naji, Nabila; Tucker, Nathan; Delling, Francesca N; Toomer, Katelynn; Durst, Ronen; Perrocheau, Maelle; Fernandez-Friera, Leticia; Solis, Jorge; Le Tourneau, Thierry; Chen, Ming-Huei; Probst, Vincent; Bosse, Yohan; Pibarot, Philippe; Zelenika, Diana; Lathrop, Mark; Hercberg, Serge; Roussel, Ronan; Benjamin, Emelia J; Bonnet, Fabrice; Lo, Su Hao; Dolmatova, Elena; Simonet, Floriane; Lecointe, Simon; Kyndt, Florence; Redon, Richard; Le Marec, Hervé; Froguel, Philippe; Ellinor, Patrick T; Vasan, Ramachandran S; Bruneval, Patrick; Markwald, Roger R; Norris, Russell A; Milan, David J; Slaugenhaupt, Susan A; Levine, Robert A; Schott, Jean-Jacques; Hagege, Albert A; Jeunemaitre, Xavier

    2015-10-01

    Nonsyndromic mitral valve prolapse (MVP) is a common degenerative cardiac valvulopathy of unknown etiology that predisposes to mitral regurgitation, heart failure and sudden death. Previous family and pathophysiological studies suggest a complex pattern of inheritance. We performed a meta-analysis of 2 genome-wide association studies in 1,412 MVP cases and 2,439 controls. We identified 6 loci, which we replicated in 1,422 cases and 6,779 controls, and provide functional evidence for candidate genes. We highlight LMCD1 (LIM and cysteine-rich domains 1), which encodes a transcription factor and for which morpholino knockdown of the ortholog in zebrafish resulted in atrioventricular valve regurgitation. A similar zebrafish phenotype was obtained with knockdown of the ortholog of TNS1, which encodes tensin 1, a focal adhesion protein involved in cytoskeleton organization. We also showed expression of tensin 1 during valve morphogenesis and describe enlarged posterior mitral leaflets in Tns1(-/-) mice. This study identifies the first risk loci for MVP and suggests new mechanisms involved in mitral valve regurgitation, the most common indication for mitral valve repair. PMID:26301497

  6. Etiology of Obesity Over the Life Span: Ecological and Genetic Highlights from Asian Countries.

    PubMed

    Chong, Pei Nee; Teh, Christinal Pey Wen; Poh, Bee Koon; Noor, Mohd Ismail

    2014-03-01

    Obesity is a worldwide pandemic, and the prevalence rate has doubled since the 1980s. Asian countries are also experiencing the global epidemic of obesity with its related health consequences. The prevalence of overweight and obesity are increasing at an alarming rate across all age groups in Asia. These increases are mainly attributed to rapid economic growth, which leads to socio-economic, nutrition and lifestyle transitions, resulting in a positive energy balance. In addition, fat mass and obesity-associated gene variants, copy number variants in chromosomes and epigenetic modifications have shown positive associations with the risk of obesity among Asians. In this review highlights of prevalence and related ecological and genetic factors that could influence the rapid rise in obesity among Asian populations are discussed. PMID:26626465

  7. Etiology of Obesity Over the Life Span: Ecological and Genetic Highlights from Asian Countries.

    PubMed

    Chong, Pei Nee; Teh, Christinal Pey Wen; Poh, Bee Koon; Noor, Mohd Ismail

    2014-03-01

    Obesity is a worldwide pandemic, and the prevalence rate has doubled since the 1980s. Asian countries are also experiencing the global epidemic of obesity with its related health consequences. The prevalence of overweight and obesity are increasing at an alarming rate across all age groups in Asia. These increases are mainly attributed to rapid economic growth, which leads to socio-economic, nutrition and lifestyle transitions, resulting in a positive energy balance. In addition, fat mass and obesity-associated gene variants, copy number variants in chromosomes and epigenetic modifications have shown positive associations with the risk of obesity among Asians. In this review highlights of prevalence and related ecological and genetic factors that could influence the rapid rise in obesity among Asian populations are discussed.

  8. Coal-ash spills highlight ongoing risk to ecosystems

    SciTech Connect

    Chatterjee, R.

    2009-05-01

    Two recent large-scale spills of coal combustion waste have highlighted the old problem of handling the enormous quantity of solid waste produced by coal. Both spills happened at power plants run by the Tennessee Valley Authority (TVA). In December 2008 a holding pond for coal ash collapsed at a power plant in Kingstom, Tenn., releasing coal-ash sludge onto farmland and into rivers: in January 2009 a break in a pipe removing water from a holding pond for gypsum caused a spill at Widows Creek Fossil Plant in Stevenson, Ala. The article discusses the toxic outcome of such disasters on ecosystems, quoting work by Willaim Hopkins at Virginia Polytechnic Institute and State University and recommendations and reports of the US EPA. 2 photos.

  9. The genetics of cancer risk.

    PubMed

    Pomerantz, Mark M; Freedman, Matthew L

    2011-01-01

    One hundred years ago, decades before the discovery of the structure of DNA, debate raged regarding how human traits were passed from one generation to the next. Phenotypes, including risk of disease, had long been recognized as having a familial component. Yet it was difficult to reconcile genetic segregation as described by Mendel with observations exhaustively documented by Karl Pearson and others regarding the normal distribution of human characteristics. In 1918, R. A. Fisher published his landmark article, "The Correlation Between Relatives on the Supposition of Mendelian Inheritance," bridging this divide and demonstrating that multiple alleles, all individually obeying Mendel's laws, account for the phenotypic variation observed in nature.Since that time, geneticists have sought to identify the link between genotype and phenotype. Trait-associated alleles vary in their frequency and degree of penetrance. Some minor alleles may approach a frequency of 50% in the human population, whereas others are present within only a few individuals. The spectrum for penetrance is similarly wide. These characteristics jointly determine the segregation pattern of a given trait, which, in turn, determine the method used to map the trait. Until recently, identification of rare, highly penetrant alleles was most practical. Revolutionary studies in genomics reported over the past decade have made interrogation of most of the spectrum of genetic variation feasible.The following article reviews recent discoveries in the genetic basis of inherited cancer risk and how these discoveries inform cancer biology and patient management. Although this article focuses on prostate cancer, the principles are generic for any cancer and, indeed, for any trait. PMID:22157285

  10. Genetic Testing for Lung Cancer Risk

    PubMed Central

    Marcy, Theodore W; Stefanek, Michael; Thompson, Kimberly M

    2002-01-01

    Advances in genetics have increased our ability to assess an individual's genetic risk for disease. There is a hypothesis that genetic test results will motivate high-risk individuals to reduce harmful exposures, to increase their surveillance for disease, or to seek preventive treatments. However, genetic testing for genes associated with an increased risk of lung cancer would not change physicians' recommendations regarding smoking cessation. Limited studies suggest that test results that demonstrate an increased risk of lung cancer do not improve smoking cessation success. These test results may even distort an individual's risk perceptions. Before recommending genetic testing to assess risk for disease, physicians need to consider whether knowledge about genetic susceptibility will alter patient management. PMID:12472931

  11. What Are the Risks and Limitations of Genetic Testing?

    MedlinePlus

    ... testing? What are the risks and limitations of genetic testing? The physical risks associated with most genetic ... more information about the risks and limitations of genetic testing: The American College of Medical Genetics and ...

  12. Genetic predisposition, non-genetic risk factors and coronary infarct

    Technology Transfer Automated Retrieval System (TEKTRAN)

    Background: Using a genetic predisposition score (GPS), additively integrating the associations of 11 polymorphisms with coronary heart disease (CHD), we examined the consequences of joint presence of high GPS and non-genetic CHD risk factors. Methods: Within the European Prospective Investigation i...

  13. Genetic risk, risk perception, and decision making

    SciTech Connect

    Evers-Kiebooms, G.; Cassiman, J.J.; VanDenBerghe, H.; D'Ydewalle, G. )

    1987-01-01

    This book covers the proceedings of a conference held by March of Dimes Birth Defects Foundation. Topics presented include: Diagnosis of Genetic disease by linkage analysis and DNA diagnosis of autosomal dominant and recessive diseases.

  14. Genetic Evidence Highlights Potential Impacts of By-Catch to Cetaceans

    PubMed Central

    Mendez, Martin; Rosenbaum, Howard C.; Wells, Randall S.; Stamper, Andrew; Bordino, Pablo

    2010-01-01

    Incidental entanglement in fishing gear is arguably the most serious threat to many populations of small cetaceans, judging by the alarming number of captured animals. However, other aspects of this threat, such as the potential capture of mother-offspring pairs or reproductive pairs, could be equally or even more significant but have rarely been evaluated. Using a combination of demographic and genetic data we provide evidence that i) Franciscana dolphin pairs that are potentially reproductive and mother-offspring pairs form temporal bonds, and ii) are entangled simultaneously. Our results highlight potential demographic and genetic impacts of by-catch to cetacean populations: the joint entanglement of mother-offspring or reproductive pairs, compared to random individuals, might exacerbate the demographic consequences of by-catch, and the loss of groups of relatives means that significant components of genetic diversity could be lost together. Given the social nature of many odontocetes (toothed cetaceans), we suggest that these potential impacts could be rather general to the group and therefore by-catch could be more detrimental than previously considered. PMID:21179542

  15. On the Need for Rethinking Current Practice that Highlights Goal Achievement Risk in an Enterprise Context.

    PubMed

    Aven, Eyvind; Aven, Terje

    2015-09-01

    This article addresses the issue of how performance and risk management can complement each other in order to enhance the management of an enterprise. Often, we see that risk management focuses on goal achievements and not the enterprise risk related to its activities in the value chain. The statement "no goal, no risk" is a common misconception. The main aim of the article is to present a normative model for describing the links between performance and risk, and to use this model to give recommendations on how to best structure and plan the management of an enterprise in situations involving risk and uncertainties. The model, which has several novel features, is based on the interaction between different types of risk management (enterprise risk management, task risk management, and personal risk management) and a structure where the enterprise risk management overrules both the task and personal risk management. To illustrate the model we use the metaphor of a ship, where the ship is loaded with cash-generating activities and has a direction over time determined by the overall strategic objectives. Compared to the current enterprise risk management practice, the model and related analysis are founded on a new perspective on risk, highlighting knowledge and uncertainties beyond probabilities. PMID:25930689

  16. Integrating genetics and social science: genetic risk scores.

    PubMed

    Belsky, Daniel W; Israel, Salomon

    2014-01-01

    The sequencing of the human genome and the advent of low-cost genome-wide assays that generate millions of observations of individual genomes in a matter of hours constitute a disruptive innovation for social science. Many public use social science datasets have or will soon add genome-wide genetic data. With these new data come technical challenges, but also new possibilities. Among these, the lowest-hanging fruit and the most potentially disruptive to existing research programs is the ability to measure previously invisible contours of health and disease risk within populations. In this article, we outline why now is the time for social scientists to bring genetics into their research programs. We discuss how to select genetic variants to study. We explain how the polygenic architecture of complex traits and the low penetrance of individual genetic loci pose challenges to research integrating genetics and social science. We introduce genetic risk scores as a method of addressing these challenges and provide guidance on how genetic risk scores can be constructed. We conclude by outlining research questions that are ripe for social science inquiry.

  17. Non-disclosure of genetic risks

    PubMed Central

    2016-01-01

    In ABC v. St Georges Healthcare NHS Trust, the High Court of England and Wales rejected the argument that doctors have a legal duty to disclose actionable genetic risks to a patient’s relatives. This article reconsiders the concept of a duty to disclose actionable genetic risks in the context of widening perceptions of legal harm and developing professional and public perceptions of corresponding wrongs.

  18. Non-disclosure of genetic risks

    PubMed Central

    2016-01-01

    In ABC v. St Georges Healthcare NHS Trust, the High Court of England and Wales rejected the argument that doctors have a legal duty to disclose actionable genetic risks to a patient’s relatives. This article reconsiders the concept of a duty to disclose actionable genetic risks in the context of widening perceptions of legal harm and developing professional and public perceptions of corresponding wrongs. PMID:27630453

  19. Findings from the Quebec Family Study on the Etiology of Obesity: Genetics and Environmental Highlights.

    PubMed

    Chaput, Jean-Philippe; Pérusse, Louis; Després, Jean-Pierre; Tremblay, Angelo; Bouchard, Claude

    2014-01-01

    The Quebec Family Study (QFS) was an observational study with three cycles of data collection between 1979 and 2002 in Quebec City, Canada. The cohort is a mixture of random sampling and ascertainment through obese individuals. The study has significantly contributed to our understanding of the determinants of obesity and associated disease risk over the past 35 years. In particular, the QFS cohort was used to investigate the contribution of familial resemblance and genetic effects on body fatness and behaviors related to energy balance. Significant familial aggregation and genetic heritability were reported for total adiposity, fat-free mass, subcutaneous fat distribution, abdominal and visceral fat, resting metabolic rate, physical activity level and other behavioral traits. The resources of QFS were also used to study the contribution of several nontraditional (non-caloric) risk factors as predictors of excess body weight and gains in weight and adiposity over time, including low calcium and micronutrient intake, high disinhibition eating behavior trait, and short sleep duration. An important finding relates to the interactions between dietary macronutrient intake and exercise intensity on body mass and adiposity.

  20. Genetic research on biospecimens poses minimal risk.

    PubMed

    Wendler, David S; Rid, Annette

    2015-01-01

    Genetic research on human biospecimens is increasingly common. However, debate continues over the level of risk that this research poses to sample donors. Some argue that genetic research on biospecimens poses minimal risk; others argue that it poses greater than minimal risk and therefore needs additional requirements and limitations. This debate raises concern that some donors are not receiving appropriate protection or, conversely, that valuable research is being subject to unnecessary requirements and limitations. The present paper attempts to resolve this debate using the widely-endorsed 'risks of daily life' standard. The three extant versions of this standard all suggest that, with proper measures in place to protect confidentiality, most genetic research on human biospecimens poses minimal risk to donors.

  1. Environmental chemical mutagens and genetic risks: Lessons from radiation genetics

    SciTech Connect

    Sankaranarayanan, K.

    1996-12-31

    The last three decades have witnessed substantial progress in the development and use of a variety of in vitro and in vivo assay systems for the testing of environmental chemicals which may pose a mutagenic hazard to humans. This is also true of basic studies in chemical mutagenesis on mechanisms, DNA repair, molecular dosimetry, structure-activity relationships, etc. However, the field of quantitative evaluation of genetic risks of environmental chemicals to humans is still in it infancy. This commentary addresses the question of how our experience in estimating genetic risks of exposure to ionizing radiation can be helpful in similar endeavors with environmental chemical mutagens. 24 refs., 3 tabs.

  2. Genetic association study of QT interval highlights role for calcium signaling pathways in myocardial repolarization

    PubMed Central

    Arking, Dan E.; Pulit, Sara L.; Crotti, Lia; van der Harst, Pim; Munroe, Patricia B.; Koopmann, Tamara T.; Sotoodehnia, Nona; Rossin, Elizabeth J.; Morley, Michael; Wang, Xinchen; Johnson, Andrew D.; Lundby, Alicia; Gudbjartsson, Daníel F.; Noseworthy, Peter A.; Eijgelsheim, Mark; Bradford, Yuki; Tarasov, Kirill V.; Dörr, Marcus; Müller-Nurasyid, Martina; Lahtinen, Annukka M.; Nolte, Ilja M.; Smith, Albert Vernon; Bis, Joshua C.; Isaacs, Aaron; Newhouse, Stephen J.; Evans, Daniel S.; Post, Wendy S.; Waggott, Daryl; Lyytikäinen, Leo-Pekka; Hicks, Andrew A.; Eisele, Lewin; Ellinghaus, David; Hayward, Caroline; Navarro, Pau; Ulivi, Sheila; Tanaka, Toshiko; Tester, David J.; Chatel, Stéphanie; Gustafsson, Stefan; Kumari, Meena; Morris, Richard W.; Naluai, Åsa T.; Padmanabhan, Sandosh; Kluttig, Alexander; Strohmer, Bernhard; Panayiotou, Andrie G.; Torres, Maria; Knoflach, Michael; Hubacek, Jaroslav A.; Slowikowski, Kamil; Raychaudhuri, Soumya; Kumar, Runjun D.; Harris, Tamara B.; Launer, Lenore J.; Shuldiner, Alan R.; Alonso, Alvaro; Bader, Joel S.; Ehret, Georg; Huang, Hailiang; Kao, W.H. Linda; Strait, James B.; Macfarlane, Peter W.; Brown, Morris; Caulfield, Mark J.; Samani, Nilesh J.; Kronenberg, Florian; Willeit, Johann; Smith, J. Gustav; Greiser, Karin H.; zu Schwabedissen, Henriette Meyer; Werdan, Karl; Carella, Massimo; Zelante, Leopoldo; Heckbert, Susan R.; Psaty, Bruce M.; Rotter, Jerome I.; Kolcic, Ivana; Polašek, Ozren; Wright, Alan F.; Griffin, Maura; Daly, Mark J.; Arnar, David O.; Hólm, Hilma; Thorsteinsdottir, Unnur; Denny, Joshua C.; Roden, Dan M.; Zuvich, Rebecca L.; Emilsson, Valur; Plump, Andrew S.; Larson, Martin G.; O'Donnell, Christopher J.; Yin, Xiaoyan; Bobbo, Marco; D'Adamo, Adamo P.; Iorio, Annamaria; Sinagra, Gianfranco; Carracedo, Angel; Cummings, Steven R.; Nalls, Michael A.; Jula, Antti; Kontula, Kimmo K.; Marjamaa, Annukka; Oikarinen, Lasse; Perola, Markus; Porthan, Kimmo; Erbel, Raimund; Hoffmann, Per; Jöckel, Karl-Heinz; Kälsch, Hagen; Nöthen, Markus M.; consortium, HRGEN; den Hoed, Marcel; Loos, Ruth J.F.; Thelle, Dag S.; Gieger, Christian; Meitinger, Thomas; Perz, Siegfried; Peters, Annette; Prucha, Hanna; Sinner, Moritz F.; Waldenberger, Melanie; de Boer, Rudolf A.; Franke, Lude; van der Vleuten, Pieter A.; Beckmann, Britt Maria; Martens, Eimo; Bardai, Abdennasser; Hofman, Nynke; Wilde, Arthur A.M.; Behr, Elijah R.; Dalageorgou, Chrysoula; Giudicessi, John R.; Medeiros-Domingo, Argelia; Barc, Julien; Kyndt, Florence; Probst, Vincent; Ghidoni, Alice; Insolia, Roberto; Hamilton, Robert M.; Scherer, Stephen W.; Brandimarto, Jeffrey; Margulies, Kenneth; Moravec, Christine E.; Fabiola Del, Greco M.; Fuchsberger, Christian; O'Connell, Jeffrey R.; Lee, Wai K.; Watt, Graham C.M.; Campbell, Harry; Wild, Sarah H.; El Mokhtari, Nour E.; Frey, Norbert; Asselbergs, Folkert W.; Leach, Irene Mateo; Navis, Gerjan; van den Berg, Maarten P.; van Veldhuisen, Dirk J.; Kellis, Manolis; Krijthe, Bouwe P.; Franco, Oscar H.; Hofman, Albert; Kors, Jan A.; Uitterlinden, André G.; Witteman, Jacqueline C.M.; Kedenko, Lyudmyla; Lamina, Claudia; Oostra, Ben A.; Abecasis, Gonçalo R.; Lakatta, Edward G.; Mulas, Antonella; Orrú, Marco; Schlessinger, David; Uda, Manuela; Markus, Marcello R.P.; Völker, Uwe; Snieder, Harold; Spector, Timothy D.; Ärnlöv, Johan; Lind, Lars; Sundström, Johan; Syvänen, Ann-Christine; Kivimaki, Mika; Kähönen, Mika; Mononen, Nina; Raitakari, Olli T.; Viikari, Jorma S.; Adamkova, Vera; Kiechl, Stefan; Brion, Maria; Nicolaides, Andrew N.; Paulweber, Bernhard; Haerting, Johannes; Dominiczak, Anna F.; Nyberg, Fredrik; Whincup, Peter H.; Hingorani, Aroon; Schott, Jean-Jacques; Bezzina, Connie R.; Ingelsson, Erik; Ferrucci, Luigi; Gasparini, Paolo; Wilson, James F.; Rudan, Igor; Franke, Andre; Mühleisen, Thomas W.; Pramstaller, Peter P.; Lehtimäki, Terho J.; Paterson, Andrew D.; Parsa, Afshin; Liu, Yongmei; van Duijn, Cornelia; Siscovick, David S.; Gudnason, Vilmundur; Jamshidi, Yalda; Salomaa, Veikko; Felix, Stephan B.; Sanna, Serena; Ritchie, Marylyn D.; Stricker, Bruno H.; Stefansson, Kari; Boyer, Laurie A.; Cappola, Thomas P.; Olsen, Jesper V.; Lage, Kasper; Schwartz, Peter J.; Kääb, Stefan; Chakravarti, Aravinda; Ackerman, Michael J.; Pfeufer, Arne; de Bakker, Paul I.W.; Newton-Cheh, Christopher

    2014-01-01

    The QT interval, an electrocardiographic measure reflecting myocardial repolarization, is a heritable trait. QT prolongation is a risk factor for ventricular arrhythmias and sudden cardiac death (SCD) and could indicate the presence of the potentially lethal Mendelian Long QT Syndrome (LQTS). Using a genome-wide association and replication study in up to 100,000 individuals we identified 35 common variant QT interval loci, that collectively explain ∼8-10% of QT variation and highlight the importance of calcium regulation in myocardial repolarization. Rare variant analysis of 6 novel QT loci in 298 unrelated LQTS probands identified coding variants not found in controls but of uncertain causality and therefore requiring validation. Several newly identified loci encode for proteins that physically interact with other recognized repolarization proteins. Our integration of common variant association, expression and orthogonal protein-protein interaction screens provides new insights into cardiac electrophysiology and identifies novel candidate genes for ventricular arrhythmias, LQTS,and SCD. PMID:24952745

  3. Common genetic variants highlight the role of insulin resistance and body fat distribution in type 2 diabetes, independently of obesity

    PubMed Central

    Scott, Robert A; Fall, Tove; Pasko, Dorota; Barker, Adam; Sharp, Stephen J; Arriola, Larraitz; Balkau, Beverley; Barricarte, Aurelio; Barroso, Inês; Boeing, Heiner; Clavel-Chapelon, Françoise; Crowe, Francesca L; Dekker, Jacqueline M; Fagherazzi, Guy; Ferrannini, Ele; Forouhi, Nita G; Franks, Paul W; Gavrila, Diana; Giedraitis, Vilmantas; Grioni, Sara; Groop, Leif C; Kaaks, Rudolf; Key, Timothy J; Kühn, Tilman; Lotta, Luca A; Nilsson, Peter M; Overvad, Kim; Palli, Domenico; Panico, Salvatore; Quirós, J. Ramón; Rolandsson, Olov; Roswall, Nina; Sacerdote, Carlotta; Sala, Núria; Sánchez, María-José; Schulze, Matthias B; Siddiq, Afshan; Slimani, Nadia; Sluijs, Ivonne; Spijkerman, Annemieke MW; Tjonneland, Anne; Tumino, Rosario; van der A, Daphne L; Yaghootkar, Hanieh; McCarthy, Mark I; Semple, Robert K; Riboli, Elio; Walker, Mark; Ingelsson, Erik; Frayling, Tim M; Savage, David B

    2014-01-01

    We aimed to validate genetic variants as instruments for insulin resistance and secretion, to characterise their association with intermediate phenotypes, and to investigate their role in T2D risk among normal-weight, overweight and obese individuals.We investigated the association of genetic scores with euglycaemic-hyperinsulinaemic clamp- and OGTT-based measures of insulin resistance and secretion, and a range of metabolic measures in up to 18,565 individuals. We also studied their association with T2D risk among normal-weight, overweight and obese individuals in up to 8,124 incident T2D cases. The insulin resistance score was associated with lower insulin sensitivity measured by M/I value (β in SDs-per-allele [95%CI]:−0.03[−0.04,−0.01];p=0.004). This score was associated with lower BMI (−0.01[−0.01,−0.0;p=0.02) and gluteofemoral fat-mass (−0.03[−0.05,−0.02;p=1.4×10−6), and with higher ALT (0.02[0.01,0.03];p=0.002) and gamma-GT (0.02[0.01,0.03];p=0.001). While the secretion score had a stronger association with T2D in leaner individuals (pinteraction=0.001), we saw no difference in the association of the insulin resistance score with T2D among BMI- or waist-strata(pinteraction>0.31). While insulin resistance is often considered secondary to obesity, the association of the insulin resistance score with lower BMI and adiposity and with incident T2D even among individuals of normal weight highlights the role of insulin resistance and ectopic fat distribution in T2D, independently of body size. PMID:24947364

  4. Digital quantification of human eye color highlights genetic association of three new loci.

    PubMed

    Liu, Fan; Wollstein, Andreas; Hysi, Pirro G; Ankra-Badu, Georgina A; Spector, Timothy D; Park, Daniel; Zhu, Gu; Larsson, Mats; Duffy, David L; Montgomery, Grant W; Mackey, David A; Walsh, Susan; Lao, Oscar; Hofman, Albert; Rivadeneira, Fernando; Vingerling, Johannes R; Uitterlinden, André G; Martin, Nicholas G; Hammond, Christopher J; Kayser, Manfred

    2010-05-06

    Previous studies have successfully identified genetic variants in several genes associated with human iris (eye) color; however, they all used simplified categorical trait information. Here, we quantified continuous eye color variation into hue and saturation values using high-resolution digital full-eye photographs and conducted a genome-wide association study on 5,951 Dutch Europeans from the Rotterdam Study. Three new regions, 1q42.3, 17q25.3, and 21q22.13, were highlighted meeting the criterion for genome-wide statistically significant association. The latter two loci were replicated in 2,261 individuals from the UK and in 1,282 from Australia. The LYST gene at 1q42.3 and the DSCR9 gene at 21q22.13 serve as promising functional candidates. A model for predicting quantitative eye colors explained over 50% of trait variance in the Rotterdam Study. Over all our data exemplify that fine phenotyping is a useful strategy for finding genes involved in human complex traits.

  5. Genetic associations at 53 loci highlight cell types and biological pathways relevant for kidney function.

    PubMed

    Pattaro, Cristian; Teumer, Alexander; Gorski, Mathias; Chu, Audrey Y; Li, Man; Mijatovic, Vladan; Garnaas, Maija; Tin, Adrienne; Sorice, Rossella; Li, Yong; Taliun, Daniel; Olden, Matthias; Foster, Meredith; Yang, Qiong; Chen, Ming-Huei; Pers, Tune H; Johnson, Andrew D; Ko, Yi-An; Fuchsberger, Christian; Tayo, Bamidele; Nalls, Michael; Feitosa, Mary F; Isaacs, Aaron; Dehghan, Abbas; d'Adamo, Pio; Adeyemo, Adebowale; Dieffenbach, Aida Karina; Zonderman, Alan B; Nolte, Ilja M; van der Most, Peter J; Wright, Alan F; Shuldiner, Alan R; Morrison, Alanna C; Hofman, Albert; Smith, Albert V; Dreisbach, Albert W; Franke, Andre; Uitterlinden, Andre G; Metspalu, Andres; Tonjes, Anke; Lupo, Antonio; Robino, Antonietta; Johansson, Åsa; Demirkan, Ayse; Kollerits, Barbara; Freedman, Barry I; Ponte, Belen; Oostra, Ben A; Paulweber, Bernhard; Krämer, Bernhard K; Mitchell, Braxton D; Buckley, Brendan M; Peralta, Carmen A; Hayward, Caroline; Helmer, Catherine; Rotimi, Charles N; Shaffer, Christian M; Müller, Christian; Sala, Cinzia; van Duijn, Cornelia M; Saint-Pierre, Aude; Ackermann, Daniel; Shriner, Daniel; Ruggiero, Daniela; Toniolo, Daniela; Lu, Yingchang; Cusi, Daniele; Czamara, Darina; Ellinghaus, David; Siscovick, David S; Ruderfer, Douglas; Gieger, Christian; Grallert, Harald; Rochtchina, Elena; Atkinson, Elizabeth J; Holliday, Elizabeth G; Boerwinkle, Eric; Salvi, Erika; Bottinger, Erwin P; Murgia, Federico; Rivadeneira, Fernando; Ernst, Florian; Kronenberg, Florian; Hu, Frank B; Navis, Gerjan J; Curhan, Gary C; Ehret, George B; Homuth, Georg; Coassin, Stefan; Thun, Gian-Andri; Pistis, Giorgio; Gambaro, Giovanni; Malerba, Giovanni; Montgomery, Grant W; Eiriksdottir, Gudny; Jacobs, Gunnar; Li, Guo; Wichmann, H-Erich; Campbell, Harry; Schmidt, Helena; Wallaschofski, Henri; Völzke, Henry; Brenner, Hermann; Kroemer, Heyo K; Kramer, Holly; Lin, Honghuang; Leach, I Mateo; Ford, Ian; Guessous, Idris; Rudan, Igor; Prokopenko, Inga; Borecki, Ingrid; Heid, Iris M; Kolcic, Ivana; Persico, Ivana; Jukema, J Wouter; Wilson, James F; Felix, Janine F; Divers, Jasmin; Lambert, Jean-Charles; Stafford, Jeanette M; Gaspoz, Jean-Michel; Smith, Jennifer A; Faul, Jessica D; Wang, Jie Jin; Ding, Jingzhong; Hirschhorn, Joel N; Attia, John; Whitfield, John B; Chalmers, John; Viikari, Jorma; Coresh, Josef; Denny, Joshua C; Karjalainen, Juha; Fernandes, Jyotika K; Endlich, Karlhans; Butterbach, Katja; Keene, Keith L; Lohman, Kurt; Portas, Laura; Launer, Lenore J; Lyytikäinen, Leo-Pekka; Yengo, Loic; Franke, Lude; Ferrucci, Luigi; Rose, Lynda M; Kedenko, Lyudmyla; Rao, Madhumathi; Struchalin, Maksim; Kleber, Marcus E; Cavalieri, Margherita; Haun, Margot; Cornelis, Marilyn C; Ciullo, Marina; Pirastu, Mario; de Andrade, Mariza; McEvoy, Mark A; Woodward, Mark; Adam, Martin; Cocca, Massimiliano; Nauck, Matthias; Imboden, Medea; Waldenberger, Melanie; Pruijm, Menno; Metzger, Marie; Stumvoll, Michael; Evans, Michele K; Sale, Michele M; Kähönen, Mika; Boban, Mladen; Bochud, Murielle; Rheinberger, Myriam; Verweij, Niek; Bouatia-Naji, Nabila; Martin, Nicholas G; Hastie, Nick; Probst-Hensch, Nicole; Soranzo, Nicole; Devuyst, Olivier; Raitakari, Olli; Gottesman, Omri; Franco, Oscar H; Polasek, Ozren; Gasparini, Paolo; Munroe, Patricia B; Ridker, Paul M; Mitchell, Paul; Muntner, Paul; Meisinger, Christa; Smit, Johannes H; Kovacs, Peter; Wild, Philipp S; Froguel, Philippe; Rettig, Rainer; Mägi, Reedik; Biffar, Reiner; Schmidt, Reinhold; Middelberg, Rita P S; Carroll, Robert J; Penninx, Brenda W; Scott, Rodney J; Katz, Ronit; Sedaghat, Sanaz; Wild, Sarah H; Kardia, Sharon L R; Ulivi, Sheila; Hwang, Shih-Jen; Enroth, Stefan; Kloiber, Stefan; Trompet, Stella; Stengel, Benedicte; Hancock, Stephen J; Turner, Stephen T; Rosas, Sylvia E; Stracke, Sylvia; Harris, Tamara B; Zeller, Tanja; Zemunik, Tatijana; Lehtimäki, Terho; Illig, Thomas; Aspelund, Thor; Nikopensius, Tiit; Esko, Tonu; Tanaka, Toshiko; Gyllensten, Ulf; Völker, Uwe; Emilsson, Valur; Vitart, Veronique; Aalto, Ville; Gudnason, Vilmundur; Chouraki, Vincent; Chen, Wei-Min; Igl, Wilmar; März, Winfried; Koenig, Wolfgang; Lieb, Wolfgang; Loos, Ruth J F; Liu, Yongmei; Snieder, Harold; Pramstaller, Peter P; Parsa, Afshin; O'Connell, Jeffrey R; Susztak, Katalin; Hamet, Pavel; Tremblay, Johanne; de Boer, Ian H; Böger, Carsten A; Goessling, Wolfram; Chasman, Daniel I; Köttgen, Anna; Kao, W H Linda; Fox, Caroline S

    2016-01-01

    Reduced glomerular filtration rate defines chronic kidney disease and is associated with cardiovascular and all-cause mortality. We conducted a meta-analysis of genome-wide association studies for estimated glomerular filtration rate (eGFR), combining data across 133,413 individuals with replication in up to 42,166 individuals. We identify 24 new and confirm 29 previously identified loci. Of these 53 loci, 19 associate with eGFR among individuals with diabetes. Using bioinformatics, we show that identified genes at eGFR loci are enriched for expression in kidney tissues and in pathways relevant for kidney development and transmembrane transporter activity, kidney structure, and regulation of glucose metabolism. Chromatin state mapping and DNase I hypersensitivity analyses across adult tissues demonstrate preferential mapping of associated variants to regulatory regions in kidney but not extra-renal tissues. These findings suggest that genetic determinants of eGFR are mediated largely through direct effects within the kidney and highlight important cell types and biological pathways. PMID:26831199

  6. Genetic associations at 53 loci highlight cell types and biological pathways relevant for kidney function

    PubMed Central

    Pattaro, Cristian; Teumer, Alexander; Gorski, Mathias; Chu, Audrey Y.; Li, Man; Mijatovic, Vladan; Garnaas, Maija; Tin, Adrienne; Sorice, Rossella; Li, Yong; Taliun, Daniel; Olden, Matthias; Foster, Meredith; Yang, Qiong; Chen, Ming-Huei; Pers, Tune H.; Johnson, Andrew D.; Ko, Yi-An; Fuchsberger, Christian; Tayo, Bamidele; Nalls, Michael; Feitosa, Mary F.; Isaacs, Aaron; Dehghan, Abbas; d'Adamo, Pio; Adeyemo, Adebowale; Dieffenbach, Aida Karina; Zonderman, Alan B.; Nolte, Ilja M.; van der Most, Peter J.; Wright, Alan F.; Shuldiner, Alan R.; Morrison, Alanna C.; Hofman, Albert; Smith, Albert V.; Dreisbach, Albert W.; Franke, Andre; Uitterlinden, Andre G.; Metspalu, Andres; Tonjes, Anke; Lupo, Antonio; Robino, Antonietta; Johansson, Åsa; Demirkan, Ayse; Kollerits, Barbara; Freedman, Barry I.; Ponte, Belen; Oostra, Ben A.; Paulweber, Bernhard; Krämer, Bernhard K.; Mitchell, Braxton D.; Buckley, Brendan M.; Peralta, Carmen A.; Hayward, Caroline; Helmer, Catherine; Rotimi, Charles N.; Shaffer, Christian M.; Müller, Christian; Sala, Cinzia; van Duijn, Cornelia M.; Saint-Pierre, Aude; Ackermann, Daniel; Shriner, Daniel; Ruggiero, Daniela; Toniolo, Daniela; Lu, Yingchang; Cusi, Daniele; Czamara, Darina; Ellinghaus, David; Siscovick, David S.; Ruderfer, Douglas; Gieger, Christian; Grallert, Harald; Rochtchina, Elena; Atkinson, Elizabeth J.; Holliday, Elizabeth G.; Boerwinkle, Eric; Salvi, Erika; Bottinger, Erwin P.; Murgia, Federico; Rivadeneira, Fernando; Ernst, Florian; Kronenberg, Florian; Hu, Frank B.; Navis, Gerjan J.; Curhan, Gary C.; Ehret, George B.; Homuth, Georg; Coassin, Stefan; Thun, Gian-Andri; Pistis, Giorgio; Gambaro, Giovanni; Malerba, Giovanni; Montgomery, Grant W.; Eiriksdottir, Gudny; Jacobs, Gunnar; Li, Guo; Wichmann, H-Erich; Campbell, Harry; Schmidt, Helena; Wallaschofski, Henri; Völzke, Henry; Brenner, Hermann; Kroemer, Heyo K.; Kramer, Holly; Lin, Honghuang; Leach, I. Mateo; Ford, Ian; Guessous, Idris; Rudan, Igor; Prokopenko, Inga; Borecki, Ingrid; Heid, Iris M.; Kolcic, Ivana; Persico, Ivana; Jukema, J. Wouter; Wilson, James F.; Felix, Janine F.; Divers, Jasmin; Lambert, Jean-Charles; Stafford, Jeanette M.; Gaspoz, Jean-Michel; Smith, Jennifer A.; Faul, Jessica D.; Wang, Jie Jin; Ding, Jingzhong; Hirschhorn, Joel N.; Attia, John; Whitfield, John B.; Chalmers, John; Viikari, Jorma; Coresh, Josef; Denny, Joshua C.; Karjalainen, Juha; Fernandes, Jyotika K.; Endlich, Karlhans; Butterbach, Katja; Keene, Keith L.; Lohman, Kurt; Portas, Laura; Launer, Lenore J.; Lyytikäinen, Leo-Pekka; Yengo, Loic; Franke, Lude; Ferrucci, Luigi; Rose, Lynda M.; Kedenko, Lyudmyla; Rao, Madhumathi; Struchalin, Maksim; Kleber, Marcus E.; Cavalieri, Margherita; Haun, Margot; Cornelis, Marilyn C.; Ciullo, Marina; Pirastu, Mario; de Andrade, Mariza; McEvoy, Mark A.; Woodward, Mark; Adam, Martin; Cocca, Massimiliano; Nauck, Matthias; Imboden, Medea; Waldenberger, Melanie; Pruijm, Menno; Metzger, Marie; Stumvoll, Michael; Evans, Michele K.; Sale, Michele M.; Kähönen, Mika; Boban, Mladen; Bochud, Murielle; Rheinberger, Myriam; Verweij, Niek; Bouatia-Naji, Nabila; Martin, Nicholas G.; Hastie, Nick; Probst-Hensch, Nicole; Soranzo, Nicole; Devuyst, Olivier; Raitakari, Olli; Gottesman, Omri; Franco, Oscar H.; Polasek, Ozren; Gasparini, Paolo; Munroe, Patricia B.; Ridker, Paul M.; Mitchell, Paul; Muntner, Paul; Meisinger, Christa; Smit, Johannes H.; Abecasis, Goncalo R.; Adair, Linda S.; Alexander, Myriam; Altshuler, David; Amin, Najaf; Arking, Dan E.; Arora, Pankaj; Aulchenko, Yurii; Bakker, Stephan J. L.; Bandinelli, Stefania; Barroso, Ines; Beckmann, Jacques S.; Beilby, John P.; Bergman, Richard N.; Bergmann, Sven; Bis, Joshua C.; Boehnke, Michael; Bonnycastle, Lori L.; Bornstein, Stefan R.; Bots, Michiel L.; Bragg-Gresham, Jennifer L.; Brand, Stefan-Martin; Brand, Eva; Braund, Peter S.; Brown, Morris J.; Burton, Paul R.; Casas, Juan P.; Caulfield, Mark J.; Chakravarti, Aravinda; Chambers, John C.; Chandak, Giriraj R.; Chang, Yen-Pei C.; Charchar, Fadi J.; Chaturvedi, Nish; Shin Cho, Yoon; Clarke, Robert; Collins, Francis S.; Collins, Rory; Connell, John M.; Cooper, Jackie A.; Cooper, Matthew N.; Cooper, Richard S.; Corsi, Anna Maria; Dörr, Marcus; Dahgam, Santosh; Danesh, John; Smith, George Davey; Day, Ian N. M.; Deloukas, Panos; Denniff, Matthew; Dominiczak, Anna F.; Dong, Yanbin; Doumatey, Ayo; Elliott, Paul; Elosua, Roberto; Erdmann, Jeanette; Eyheramendy, Susana; Farrall, Martin; Fava, Cristiano; Forrester, Terrence; Fowkes, F. Gerald R.; Fox, Ervin R.; Frayling, Timothy M.; Galan, Pilar; Ganesh, Santhi K.; Garcia, Melissa; Gaunt, Tom R.; Glazer, Nicole L.; Go, Min Jin; Goel, Anuj; Grässler, Jürgen; Grobbee, Diederick E.; Groop, Leif; Guarrera, Simonetta; Guo, Xiuqing; Hadley, David; Hamsten, Anders; Han, Bok-Ghee; Hardy, Rebecca; Hartikainen, Anna-Liisa; Heath, Simon; Heckbert, Susan R.; Hedblad, Bo; Hercberg, Serge; Hernandez, Dena; Hicks, Andrew A.; Hilton, Gina; Hingorani, Aroon D.; Bolton, Judith A Hoffman; Hopewell, Jemma C.; Howard, Philip; Humphries, Steve E.; Hunt, Steven C.; Hveem, Kristian; Ikram, M. Arfan; Islam, Muhammad; Iwai, Naoharu; Jarvelin, Marjo-Riitta; Jackson, Anne U.; Jafar, Tazeen H.; Janipalli, Charles S.; Johnson, Toby; Kathiresan, Sekar; Khaw, Kay-Tee; Kim, Hyung-Lae; Kinra, Sanjay; Kita, Yoshikuni; Kivimaki, Mika; Kooner, Jaspal S.; Kumar, M. J. Kranthi; Kuh, Diana; Kulkarni, Smita R.; Kumari, Meena; Kuusisto, Johanna; Kuznetsova, Tatiana; Laakso, Markku; Laan, Maris; Laitinen, Jaana; Lakatta, Edward G.; Langefeld, Carl D.; Larson, Martin G.; Lathrop, Mark; Lawlor, Debbie A.; Lawrence, Robert W.; Lee, Jong-Young; Lee, Nanette R.; Levy, Daniel; Li, Yali; Longstreth, Will T.; Luan, Jian'an; Lucas, Gavin; Ludwig, Barbara; Mangino, Massimo; Mani, K. Radha; Marmot, Michael G.; Mattace-Raso, Francesco U. S.; Matullo, Giuseppe; McArdle, Wendy L.; McKenzie, Colin A.; Meitinger, Thomas; Melander, Olle; Meneton, Pierre; Meschia, James F.; Miki, Tetsuro; Milaneschi, Yuri; Mohlke, Karen L.; Mooser, Vincent; Morken, Mario A.; Morris, Richard W.; Mosley, Thomas H.; Najjar, Samer; Narisu, Narisu; Newton-Cheh, Christopher; Nguyen, Khanh-Dung Hoang; Nilsson, Peter; Nyberg, Fredrik; O'Donnell, Christopher J.; Ogihara, Toshio; Ohkubo, Takayoshi; Okamura, Tomonori; Ong, RickTwee-Hee; Ongen, Halit; Onland-Moret, N. Charlotte; O'Reilly, Paul F.; Org, Elin; Orru, Marco; Palmas, Walter; Palmen, Jutta; Palmer, Lyle J.; Palmer, Nicholette D.; Parker, Alex N.; Peden, John F.; Peltonen, Leena; Perola, Markus; Pihur, Vasyl; Platou, Carl G. P.; Plump, Andrew; Prabhakaran, Dorairajan; Psaty, Bruce M.; Raffel, Leslie J.; Rao, Dabeeru C.; Rasheed, Asif; Ricceri, Fulvio; Rice, Kenneth M.; Rosengren, Annika; Rotter, Jerome I.; Rudock, Megan E.; Sõber, Siim; Salako, Tunde; Saleheen, Danish; Salomaa, Veikko; Samani, Nilesh J.; Schwartz, Steven M.; Schwarz, Peter E. H.; Scott, Laura J.; Scott, James; Scuteri, Angelo; Sehmi, Joban S.; Seielstad, Mark; Seshadri, Sudha; Sharma, Pankaj; Shaw-Hawkins, Sue; Shi, Gang; Shrine, Nick R. G.; Sijbrands, Eric J. G.; Sim, Xueling; Singleton, Andrew; Sjögren, Marketa; Smith, Nicholas L.; Artigas, Maria Soler; Spector, Tim D.; Staessen, Jan A.; Stancakova, Alena; Steinle, Nanette I.; Strachan, David P.; Stringham, Heather M.; Sun, Yan V.; Swift, Amy J.; Tabara, Yasuharu; Tai, E-Shyong; Talmud, Philippa J.; Taylor, Andrew; Terzic, Janos; Thelle, Dag S.; Tobin, Martin D.; Tomaszewski, Maciej; Tripathy, Vikal; Tuomilehto, Jaakko; Tzoulaki, Ioanna; Uda, Manuela; Ueshima, Hirotsugu; Uiterwaal, Cuno S. P. M.; Umemura, Satoshi; van der Harst, Pim; van der Schouw, Yvonne T.; van Gilst, Wiek H.; Vartiainen, Erkki; Vasan, Ramachandran S.; Veldre, Gudrun; Verwoert, Germaine C.; Viigimaa, Margus; Vinay, D. G.; Vineis, Paolo; Voight, Benjamin F.; Vollenweider, Peter; Wagenknecht, Lynne E.; Wain, Louise V.; Wang, Xiaoling; Wang, Thomas J.; Wareham, Nicholas J.; Watkins, Hugh; Weder, Alan B.; Whincup, Peter H.; Wiggins, Kerri L.; Witteman, Jacqueline C. M.; Wong, Andrew; Wu, Ying; Yajnik, Chittaranjan S.; Yao, Jie; Young, J. H.; Zelenika, Diana; Zhai, Guangju; Zhang, Weihua; Zhang, Feng; Zhao, Jing Hua; Zhu, Haidong; Zhu, Xiaofeng; Zitting, Paavo; Zukowska-Szczechowska, Ewa; Okada, Yukinori; Wu, Jer-Yuarn; Gu, Dongfeng; Takeuchi, Fumihiko; Takahashi, Atsushi; Maeda, Shiro; Tsunoda, Tatsuhiko; Chen, Peng; Lim, Su-Chi; Wong, Tien-Yin; Liu, Jianjun; Young, Terri L.; Aung, Tin; Teo, Yik-Ying; Kim, Young Jin; Kang, Daehee; Chen, Chien-Hsiun; Tsai, Fuu-Jen; Chang, Li-Ching; Fann, S. -J. Cathy; Mei, Hao; Hixson, James E.; Chen, Shufeng; Katsuya, Tomohiro; Isono, Masato; Albrecht, Eva; Yamamoto, Kazuhiko; Kubo, Michiaki; Nakamura, Yusuke; Kamatani, Naoyuki; Kato, Norihiro; He, Jiang; Chen, Yuan-Tsong; Tanaka, Toshihiro; Reilly, Muredach P; Schunkert, Heribert; Assimes, Themistocles L.; Hall, Alistair; Hengstenberg, Christian; König, Inke R.; Laaksonen, Reijo; McPherson, Ruth; Thompson, John R.; Thorsteinsdottir, Unnur; Ziegler, Andreas; Absher, Devin; Chen, Li; Cupples13, L. Adrienne; Halperin, Eran; Li, Mingyao; Musunuru, Kiran; Preuss, Michael; Schillert, Arne; Thorleifsson, Gudmar; Wells, George A.; Holm, Hilma; Roberts, Robert; Stewart, Alexandre F. R.; Fortmann, Stephen; Go, Alan; Hlatky, Mark; Iribarren, Carlos; Knowles, Joshua; Myers, Richard; Quertermous, Thomas; Sidney, Steven; Risch, Neil; Tang, Hua; Blankenberg, Stefan; Schnabel, Renate; Sinning, Christoph; Lackner, Karl J.; Tiret, Laurence; Nicaud, Viviane; Cambien, Francois; Bickel, Christoph; Rupprecht, Hans J.; Perret, Claire; Proust, Carole; Münzel, Thomas F.; Barbalic, Maja; Chen, Ida Yii-Der; Demissie-Banjaw, Serkalem; Folsom, Aaron; Lumley, Thomas; Marciante, Kristin; Taylor, Kent D.; Volcik, Kelly; Gretarsdottir, Solveig; Gulcher, Jeffrey R.; Kong, Augustine; Stefansson, Kari; Thorgeirsson, Gudmundur; Andersen, Karl; Fischer, Marcus; Grosshennig, Anika; Linsel-Nitschke, Patrick; Stark, Klaus; Schreiber, Stefan; Aherrahrou, Zouhair; Bruse, Petra; Doering, Angela; Klopp, Norman; Diemert, Patrick; Loley, Christina; Medack, Anja; Nahrstedt, Janja; Peters, Annette; Wagner, Arnika K.; Willenborg, Christina; Böhm, Bernhard O.; Dobnig, Harald; Grammer, Tanja B.; Hoffmann, Michael M.; Meinitzer, Andreas; Winkelmann, Bernhard R.; Pilz, Stefan; Renner, Wilfried; Scharnagl, Hubert; Stojakovic, Tatjana; Tomaschitz, Andreas; Winkler, Karl; Guiducci, Candace; Burtt, Noel; Gabriel, Stacey B.; Dandona, Sonny; Jarinova, Olga; Qu, Liming; Wilensky, Robert; Matthai, William; Hakonarson, Hakon H.; Devaney, Joe; Burnett, Mary Susan; Pichard, Augusto D.; Kent, Kenneth M.; Satler, Lowell; Lindsay, Joseph M.; Waksman, Ron; Knouff, Christopher W.; Waterworth, Dawn M.; Walker, Max C.; Epstein, Stephen E.; Rader, Daniel J.; Nelson, Christopher P.; Wright, Benjamin J.; Balmforth, Anthony J.; Ball, Stephen G.; Loehr, Laura R.; Rosamond, Wayne D.; Benjamin, Emelia; Haritunians, Talin; Couper, David; Murabito, Joanne; Wang, Ying A.; Stricker, Bruno H.; Chang, Patricia P.; Willerson, James T.; Felix, Stephan B.; Watzinger, Norbert; Aragam, Jayashri; Zweiker, Robert; Lind, Lars; Rodeheffer, Richard J.; Greiser, Karin Halina; Deckers, Jaap W.; Stritzke, Jan; Ingelsson, Erik; Kullo, Iftikhar; Haerting, Johannes; Reffelmann, Thorsten; Redfield, Margaret M.; Werdan, Karl; Mitchell, Gary F.; Arnett, Donna K.; Gottdiener, John S.; Blettner, Maria; Friedrich, Nele; Kovacs, Peter; Wild, Philipp S.; Froguel, Philippe; Rettig, Rainer; Mägi, Reedik; Biffar, Reiner; Schmidt, Reinhold; Middelberg, Rita P. S.; Carroll, Robert J.; Penninx, Brenda W.; Scott, Rodney J.; Katz, Ronit; Sedaghat, Sanaz; Wild, Sarah H.; Kardia, Sharon L. R.; Ulivi, Sheila; Hwang, Shih-Jen; Enroth, Stefan; Kloiber, Stefan; Trompet, Stella; Stengel, Benedicte; Hancock, Stephen J.; Turner, Stephen T.; Rosas, Sylvia E.; Stracke, Sylvia; Harris, Tamara B.; Zeller, Tanja; Zemunik, Tatijana; Lehtimäki, Terho; Illig, Thomas; Aspelund, Thor; Nikopensius, Tiit; Esko, Tonu; Tanaka, Toshiko; Gyllensten, Ulf; Völker, Uwe; Emilsson, Valur; Vitart, Veronique; Aalto, Ville; Gudnason, Vilmundur; Chouraki, Vincent; Chen, Wei-Min; Igl, Wilmar; März, Winfried; Koenig, Wolfgang; Lieb, Wolfgang; Loos, Ruth J. F.; Liu, Yongmei; Snieder, Harold; Pramstaller, Peter P.; Parsa, Afshin; O'Connell, Jeffrey R.; Susztak, Katalin; Hamet, Pavel; Tremblay, Johanne; de Boer, Ian H.; Böger, Carsten A.; Goessling, Wolfram; Chasman, Daniel I.; Köttgen, Anna; Kao, W. H. Linda; Fox, Caroline S.

    2016-01-01

    Reduced glomerular filtration rate defines chronic kidney disease and is associated with cardiovascular and all-cause mortality. We conducted a meta-analysis of genome-wide association studies for estimated glomerular filtration rate (eGFR), combining data across 133,413 individuals with replication in up to 42,166 individuals. We identify 24 new and confirm 29 previously identified loci. Of these 53 loci, 19 associate with eGFR among individuals with diabetes. Using bioinformatics, we show that identified genes at eGFR loci are enriched for expression in kidney tissues and in pathways relevant for kidney development and transmembrane transporter activity, kidney structure, and regulation of glucose metabolism. Chromatin state mapping and DNase I hypersensitivity analyses across adult tissues demonstrate preferential mapping of associated variants to regulatory regions in kidney but not extra-renal tissues. These findings suggest that genetic determinants of eGFR are mediated largely through direct effects within the kidney and highlight important cell types and biological pathways. PMID:26831199

  7. Genetic associations at 53 loci highlight cell types and biological pathways relevant for kidney function.

    PubMed

    Pattaro, Cristian; Teumer, Alexander; Gorski, Mathias; Chu, Audrey Y; Li, Man; Mijatovic, Vladan; Garnaas, Maija; Tin, Adrienne; Sorice, Rossella; Li, Yong; Taliun, Daniel; Olden, Matthias; Foster, Meredith; Yang, Qiong; Chen, Ming-Huei; Pers, Tune H; Johnson, Andrew D; Ko, Yi-An; Fuchsberger, Christian; Tayo, Bamidele; Nalls, Michael; Feitosa, Mary F; Isaacs, Aaron; Dehghan, Abbas; d'Adamo, Pio; Adeyemo, Adebowale; Dieffenbach, Aida Karina; Zonderman, Alan B; Nolte, Ilja M; van der Most, Peter J; Wright, Alan F; Shuldiner, Alan R; Morrison, Alanna C; Hofman, Albert; Smith, Albert V; Dreisbach, Albert W; Franke, Andre; Uitterlinden, Andre G; Metspalu, Andres; Tonjes, Anke; Lupo, Antonio; Robino, Antonietta; Johansson, Åsa; Demirkan, Ayse; Kollerits, Barbara; Freedman, Barry I; Ponte, Belen; Oostra, Ben A; Paulweber, Bernhard; Krämer, Bernhard K; Mitchell, Braxton D; Buckley, Brendan M; Peralta, Carmen A; Hayward, Caroline; Helmer, Catherine; Rotimi, Charles N; Shaffer, Christian M; Müller, Christian; Sala, Cinzia; van Duijn, Cornelia M; Saint-Pierre, Aude; Ackermann, Daniel; Shriner, Daniel; Ruggiero, Daniela; Toniolo, Daniela; Lu, Yingchang; Cusi, Daniele; Czamara, Darina; Ellinghaus, David; Siscovick, David S; Ruderfer, Douglas; Gieger, Christian; Grallert, Harald; Rochtchina, Elena; Atkinson, Elizabeth J; Holliday, Elizabeth G; Boerwinkle, Eric; Salvi, Erika; Bottinger, Erwin P; Murgia, Federico; Rivadeneira, Fernando; Ernst, Florian; Kronenberg, Florian; Hu, Frank B; Navis, Gerjan J; Curhan, Gary C; Ehret, George B; Homuth, Georg; Coassin, Stefan; Thun, Gian-Andri; Pistis, Giorgio; Gambaro, Giovanni; Malerba, Giovanni; Montgomery, Grant W; Eiriksdottir, Gudny; Jacobs, Gunnar; Li, Guo; Wichmann, H-Erich; Campbell, Harry; Schmidt, Helena; Wallaschofski, Henri; Völzke, Henry; Brenner, Hermann; Kroemer, Heyo K; Kramer, Holly; Lin, Honghuang; Leach, I Mateo; Ford, Ian; Guessous, Idris; Rudan, Igor; Prokopenko, Inga; Borecki, Ingrid; Heid, Iris M; Kolcic, Ivana; Persico, Ivana; Jukema, J Wouter; Wilson, James F; Felix, Janine F; Divers, Jasmin; Lambert, Jean-Charles; Stafford, Jeanette M; Gaspoz, Jean-Michel; Smith, Jennifer A; Faul, Jessica D; Wang, Jie Jin; Ding, Jingzhong; Hirschhorn, Joel N; Attia, John; Whitfield, John B; Chalmers, John; Viikari, Jorma; Coresh, Josef; Denny, Joshua C; Karjalainen, Juha; Fernandes, Jyotika K; Endlich, Karlhans; Butterbach, Katja; Keene, Keith L; Lohman, Kurt; Portas, Laura; Launer, Lenore J; Lyytikäinen, Leo-Pekka; Yengo, Loic; Franke, Lude; Ferrucci, Luigi; Rose, Lynda M; Kedenko, Lyudmyla; Rao, Madhumathi; Struchalin, Maksim; Kleber, Marcus E; Cavalieri, Margherita; Haun, Margot; Cornelis, Marilyn C; Ciullo, Marina; Pirastu, Mario; de Andrade, Mariza; McEvoy, Mark A; Woodward, Mark; Adam, Martin; Cocca, Massimiliano; Nauck, Matthias; Imboden, Medea; Waldenberger, Melanie; Pruijm, Menno; Metzger, Marie; Stumvoll, Michael; Evans, Michele K; Sale, Michele M; Kähönen, Mika; Boban, Mladen; Bochud, Murielle; Rheinberger, Myriam; Verweij, Niek; Bouatia-Naji, Nabila; Martin, Nicholas G; Hastie, Nick; Probst-Hensch, Nicole; Soranzo, Nicole; Devuyst, Olivier; Raitakari, Olli; Gottesman, Omri; Franco, Oscar H; Polasek, Ozren; Gasparini, Paolo; Munroe, Patricia B; Ridker, Paul M; Mitchell, Paul; Muntner, Paul; Meisinger, Christa; Smit, Johannes H; Kovacs, Peter; Wild, Philipp S; Froguel, Philippe; Rettig, Rainer; Mägi, Reedik; Biffar, Reiner; Schmidt, Reinhold; Middelberg, Rita P S; Carroll, Robert J; Penninx, Brenda W; Scott, Rodney J; Katz, Ronit; Sedaghat, Sanaz; Wild, Sarah H; Kardia, Sharon L R; Ulivi, Sheila; Hwang, Shih-Jen; Enroth, Stefan; Kloiber, Stefan; Trompet, Stella; Stengel, Benedicte; Hancock, Stephen J; Turner, Stephen T; Rosas, Sylvia E; Stracke, Sylvia; Harris, Tamara B; Zeller, Tanja; Zemunik, Tatijana; Lehtimäki, Terho; Illig, Thomas; Aspelund, Thor; Nikopensius, Tiit; Esko, Tonu; Tanaka, Toshiko; Gyllensten, Ulf; Völker, Uwe; Emilsson, Valur; Vitart, Veronique; Aalto, Ville; Gudnason, Vilmundur; Chouraki, Vincent; Chen, Wei-Min; Igl, Wilmar; März, Winfried; Koenig, Wolfgang; Lieb, Wolfgang; Loos, Ruth J F; Liu, Yongmei; Snieder, Harold; Pramstaller, Peter P; Parsa, Afshin; O'Connell, Jeffrey R; Susztak, Katalin; Hamet, Pavel; Tremblay, Johanne; de Boer, Ian H; Böger, Carsten A; Goessling, Wolfram; Chasman, Daniel I; Köttgen, Anna; Kao, W H Linda; Fox, Caroline S

    2016-01-21

    Reduced glomerular filtration rate defines chronic kidney disease and is associated with cardiovascular and all-cause mortality. We conducted a meta-analysis of genome-wide association studies for estimated glomerular filtration rate (eGFR), combining data across 133,413 individuals with replication in up to 42,166 individuals. We identify 24 new and confirm 29 previously identified loci. Of these 53 loci, 19 associate with eGFR among individuals with diabetes. Using bioinformatics, we show that identified genes at eGFR loci are enriched for expression in kidney tissues and in pathways relevant for kidney development and transmembrane transporter activity, kidney structure, and regulation of glucose metabolism. Chromatin state mapping and DNase I hypersensitivity analyses across adult tissues demonstrate preferential mapping of associated variants to regulatory regions in kidney but not extra-renal tissues. These findings suggest that genetic determinants of eGFR are mediated largely through direct effects within the kidney and highlight important cell types and biological pathways.

  8. Improving genetic risk prediction by leveraging pleiotropy

    PubMed Central

    Li, Cong; Yang, Can; Gelernter, Joel

    2014-01-01

    An important task of human genetics studies is to predict accurately disease risks in individuals based on genetic markers, which allows for identifying individuals at high disease risks, and facilitating their disease treatment and prevention. Although hundreds of genome-wide association studies (GWAS) have been conducted on many complex human traits in recent years, there has been only limited success in translating these GWAS data into clinically useful risk prediction models. The predictive capability of GWAS data is largely bottlenecked by the available training sample size due to the presence of numerous variants carrying only small to modest effects. Recent studies have shown that different human traits may share common genetic bases. Therefore, an attractive strategy to increase the training sample size and hence improve the prediction accuracy is to integrate data from genetically correlated phenotypes. Yet the utility of genetic correlation in risk prediction has not been explored in the literature. In this paper, we analyzed GWAS data for bipolar and related disorders (BARD) and schizophrenia (SZ) with a bivariate ridge regression method, and found that jointly predicting the two phenotypes could substantially increase prediction accuracy as measured by the AUC (area under the receiver operating characteristic curve). We also found similar prediction accuracy improvements when we jointly analyzed GWAS data for Crohn’s disease (CD) and ulcerative colitis (UC). The empirical observations were substantiated through our comprehensive simulation studies, suggesting that a gain in prediction accuracy can be obtained by combining phenotypes with relatively high genetic correlations. Through both real data and simulation studies, we demonstrated pleiotropy can be leveraged as a valuable asset that opens up a new opportunity to improve genetic risk prediction in the future. PMID:24337655

  9. [Risk assessment of genetically modified organisms].

    PubMed

    Costa, Thadeu Estevam Moreira Maramaldo; Dias, Aline Peçanha Muzy; Scheidegger, Erica Miranda Damasio; Marin, Victor Augustus

    2011-01-01

    Since the commercial approve in 1996, the global area of transgenic crops has raised more than 50 times. In the last two decades, governments have been planning strategies and protocols for safety assessment of food and feed genetically modified (GM). Evaluation of food safety should be taken on a case-by-case analysis depending on the specific traits of the modified crops and the changes introduced by the genetic modification, using for this the concept of substantial equivalence. This work presents approaches for the risk assessment of GM food, as well as some problems related with the genetic construction or even with the expression of the inserted gene.

  10. Multilocus Genetic Risk Scores for Venous Thromboembolism Risk Assessment

    PubMed Central

    Soria, José Manuel; Morange, Pierre‐Emmanuel; Vila, Joan; Souto, Juan Carlos; Moyano, Manel; Trégouët, David‐Alexandre; Mateo, José; Saut, Noémi; Salas, Eduardo; Elosua, Roberto

    2014-01-01

    Background Genetics plays an important role in venous thromboembolism (VTE). Factor V Leiden (FVL or rs6025) and prothrombin gene G20210A (PT or rs1799963) are the genetic variants currently tested for VTE risk assessment. We hypothesized that primary VTE risk assessment can be improved by using genetic risk scores with more genetic markers than just FVL‐rs6025 and prothrombin gene PT‐rs1799963. To this end, we have designed a new genetic risk score called Thrombo inCode (TiC). Methods and Results TiC was evaluated in terms of discrimination (Δ of the area under the receiver operating characteristic curve) and reclassification (integrated discrimination improvement and net reclassification improvement). This evaluation was performed using 2 age‐ and sex‐matched case–control populations: SANTPAU (248 cases, 249 controls) and the Marseille Thrombosis Association study (MARTHA; 477 cases, 477 controls). TiC was compared with other literature‐based genetic risk scores. TiC including F5 rs6025/rs118203906/rs118203905, F2 rs1799963, F12 rs1801020, F13 rs5985, SERPINC1 rs121909548, and SERPINA10 rs2232698 plus the A1 blood group (rs8176719, rs7853989, rs8176743, rs8176750) improved the area under the curve compared with a model based only on F5‐rs6025 and F2‐rs1799963 in SANTPAU (0.677 versus 0.575, P<0.001) and MARTHA (0.605 versus 0.576, P=0.008). TiC showed good integrated discrimination improvement of 5.49 (P<0.001) for SANTPAU and 0.96 (P=0.045) for MARTHA. Among the genetic risk scores evaluated, the proportion of VTE risk variance explained by TiC was the highest. Conclusions We conclude that TiC greatly improves prediction of VTE risk compared with other genetic risk scores. TiC should improve prevention, diagnosis, and treatment of VTE. PMID:25341889

  11. Experimental separation of genetic and demographic factors on extinction risk in wild populations.

    PubMed

    Wootton, J Timothy; Pfister, Catherine A

    2013-10-01

    When populations reach small size, an extinction risk vortex may arise from genetic (inbreeding depression, genetic drift) and ecological (demographic stochasticity, Allee effects, environmental fluctuation) processes. The relative contribution of these processes to extinction in wild populations is unknown, but important for conserving endangered species. In experimental field populations of a harvested kelp (Postelsia palmaeformis), in which we independently varied initial genetic diversity (completely inbred, control, outbred) and population size, ecological processes dominated the risk of extinction, whereas the contribution of genetic diversity was slight. Our results match theoretical predictions that demographic processes will generally doom small populations to extinction before genetic effects act strongly, prioritize detailed ecological analysis over descriptions of genetic structure in assessing conservation of at-risk species, and highlight the need for field experiments manipulating both demographics and genetic structure on long-term extinction risk.

  12. Genetic association study of QT interval highlights role for calcium signaling pathways in myocardial repolarization.

    PubMed

    Arking, Dan E; Pulit, Sara L; Crotti, Lia; van der Harst, Pim; Munroe, Patricia B; Koopmann, Tamara T; Sotoodehnia, Nona; Rossin, Elizabeth J; Morley, Michael; Wang, Xinchen; Johnson, Andrew D; Lundby, Alicia; Gudbjartsson, Daníel F; Noseworthy, Peter A; Eijgelsheim, Mark; Bradford, Yuki; Tarasov, Kirill V; Dörr, Marcus; Müller-Nurasyid, Martina; Lahtinen, Annukka M; Nolte, Ilja M; Smith, Albert Vernon; Bis, Joshua C; Isaacs, Aaron; Newhouse, Stephen J; Evans, Daniel S; Post, Wendy S; Waggott, Daryl; Lyytikäinen, Leo-Pekka; Hicks, Andrew A; Eisele, Lewin; Ellinghaus, David; Hayward, Caroline; Navarro, Pau; Ulivi, Sheila; Tanaka, Toshiko; Tester, David J; Chatel, Stéphanie; Gustafsson, Stefan; Kumari, Meena; Morris, Richard W; Naluai, Åsa T; Padmanabhan, Sandosh; Kluttig, Alexander; Strohmer, Bernhard; Panayiotou, Andrie G; Torres, Maria; Knoflach, Michael; Hubacek, Jaroslav A; Slowikowski, Kamil; Raychaudhuri, Soumya; Kumar, Runjun D; Harris, Tamara B; Launer, Lenore J; Shuldiner, Alan R; Alonso, Alvaro; Bader, Joel S; Ehret, Georg; Huang, Hailiang; Kao, W H Linda; Strait, James B; Macfarlane, Peter W; Brown, Morris; Caulfield, Mark J; Samani, Nilesh J; Kronenberg, Florian; Willeit, Johann; Smith, J Gustav; Greiser, Karin H; Meyer Zu Schwabedissen, Henriette; Werdan, Karl; Carella, Massimo; Zelante, Leopoldo; Heckbert, Susan R; Psaty, Bruce M; Rotter, Jerome I; Kolcic, Ivana; Polašek, Ozren; Wright, Alan F; Griffin, Maura; Daly, Mark J; Arnar, David O; Hólm, Hilma; Thorsteinsdottir, Unnur; Denny, Joshua C; Roden, Dan M; Zuvich, Rebecca L; Emilsson, Valur; Plump, Andrew S; Larson, Martin G; O'Donnell, Christopher J; Yin, Xiaoyan; Bobbo, Marco; D'Adamo, Adamo P; Iorio, Annamaria; Sinagra, Gianfranco; Carracedo, Angel; Cummings, Steven R; Nalls, Michael A; Jula, Antti; Kontula, Kimmo K; Marjamaa, Annukka; Oikarinen, Lasse; Perola, Markus; Porthan, Kimmo; Erbel, Raimund; Hoffmann, Per; Jöckel, Karl-Heinz; Kälsch, Hagen; Nöthen, Markus M; den Hoed, Marcel; Loos, Ruth J F; Thelle, Dag S; Gieger, Christian; Meitinger, Thomas; Perz, Siegfried; Peters, Annette; Prucha, Hanna; Sinner, Moritz F; Waldenberger, Melanie; de Boer, Rudolf A; Franke, Lude; van der Vleuten, Pieter A; Beckmann, Britt Maria; Martens, Eimo; Bardai, Abdennasser; Hofman, Nynke; Wilde, Arthur A M; Behr, Elijah R; Dalageorgou, Chrysoula; Giudicessi, John R; Medeiros-Domingo, Argelia; Barc, Julien; Kyndt, Florence; Probst, Vincent; Ghidoni, Alice; Insolia, Roberto; Hamilton, Robert M; Scherer, Stephen W; Brandimarto, Jeffrey; Margulies, Kenneth; Moravec, Christine E; del Greco M, Fabiola; Fuchsberger, Christian; O'Connell, Jeffrey R; Lee, Wai K; Watt, Graham C M; Campbell, Harry; Wild, Sarah H; El Mokhtari, Nour E; Frey, Norbert; Asselbergs, Folkert W; Mateo Leach, Irene; Navis, Gerjan; van den Berg, Maarten P; van Veldhuisen, Dirk J; Kellis, Manolis; Krijthe, Bouwe P; Franco, Oscar H; Hofman, Albert; Kors, Jan A; Uitterlinden, André G; Witteman, Jacqueline C M; Kedenko, Lyudmyla; Lamina, Claudia; Oostra, Ben A; Abecasis, Gonçalo R; Lakatta, Edward G; Mulas, Antonella; Orrú, Marco; Schlessinger, David; Uda, Manuela; Markus, Marcello R P; Völker, Uwe; Snieder, Harold; Spector, Timothy D; Ärnlöv, Johan; Lind, Lars; Sundström, Johan; Syvänen, Ann-Christine; Kivimaki, Mika; Kähönen, Mika; Mononen, Nina; Raitakari, Olli T; Viikari, Jorma S; Adamkova, Vera; Kiechl, Stefan; Brion, Maria; Nicolaides, Andrew N; Paulweber, Bernhard; Haerting, Johannes; Dominiczak, Anna F; Nyberg, Fredrik; Whincup, Peter H; Hingorani, Aroon D; Schott, Jean-Jacques; Bezzina, Connie R; Ingelsson, Erik; Ferrucci, Luigi; Gasparini, Paolo; Wilson, James F; Rudan, Igor; Franke, Andre; Mühleisen, Thomas W; Pramstaller, Peter P; Lehtimäki, Terho J; Paterson, Andrew D; Parsa, Afshin; Liu, Yongmei; van Duijn, Cornelia M; Siscovick, David S; Gudnason, Vilmundur; Jamshidi, Yalda; Salomaa, Veikko; Felix, Stephan B; Sanna, Serena; Ritchie, Marylyn D; Stricker, Bruno H; Stefansson, Kari; Boyer, Laurie A; Cappola, Thomas P; Olsen, Jesper V; Lage, Kasper; Schwartz, Peter J; Kääb, Stefan; Chakravarti, Aravinda; Ackerman, Michael J; Pfeufer, Arne; de Bakker, Paul I W; Newton-Cheh, Christopher

    2014-08-01

    The QT interval, an electrocardiographic measure reflecting myocardial repolarization, is a heritable trait. QT prolongation is a risk factor for ventricular arrhythmias and sudden cardiac death (SCD) and could indicate the presence of the potentially lethal mendelian long-QT syndrome (LQTS). Using a genome-wide association and replication study in up to 100,000 individuals, we identified 35 common variant loci associated with QT interval that collectively explain ∼8-10% of QT-interval variation and highlight the importance of calcium regulation in myocardial repolarization. Rare variant analysis of 6 new QT interval-associated loci in 298 unrelated probands with LQTS identified coding variants not found in controls but of uncertain causality and therefore requiring validation. Several newly identified loci encode proteins that physically interact with other recognized repolarization proteins. Our integration of common variant association, expression and orthogonal protein-protein interaction screens provides new insights into cardiac electrophysiology and identifies new candidate genes for ventricular arrhythmias, LQTS and SCD.

  13. Genetic association study of QT interval highlights role for calcium signaling pathways in myocardial repolarization.

    PubMed

    Arking, Dan E; Pulit, Sara L; Crotti, Lia; van der Harst, Pim; Munroe, Patricia B; Koopmann, Tamara T; Sotoodehnia, Nona; Rossin, Elizabeth J; Morley, Michael; Wang, Xinchen; Johnson, Andrew D; Lundby, Alicia; Gudbjartsson, Daníel F; Noseworthy, Peter A; Eijgelsheim, Mark; Bradford, Yuki; Tarasov, Kirill V; Dörr, Marcus; Müller-Nurasyid, Martina; Lahtinen, Annukka M; Nolte, Ilja M; Smith, Albert Vernon; Bis, Joshua C; Isaacs, Aaron; Newhouse, Stephen J; Evans, Daniel S; Post, Wendy S; Waggott, Daryl; Lyytikäinen, Leo-Pekka; Hicks, Andrew A; Eisele, Lewin; Ellinghaus, David; Hayward, Caroline; Navarro, Pau; Ulivi, Sheila; Tanaka, Toshiko; Tester, David J; Chatel, Stéphanie; Gustafsson, Stefan; Kumari, Meena; Morris, Richard W; Naluai, Åsa T; Padmanabhan, Sandosh; Kluttig, Alexander; Strohmer, Bernhard; Panayiotou, Andrie G; Torres, Maria; Knoflach, Michael; Hubacek, Jaroslav A; Slowikowski, Kamil; Raychaudhuri, Soumya; Kumar, Runjun D; Harris, Tamara B; Launer, Lenore J; Shuldiner, Alan R; Alonso, Alvaro; Bader, Joel S; Ehret, Georg; Huang, Hailiang; Kao, W H Linda; Strait, James B; Macfarlane, Peter W; Brown, Morris; Caulfield, Mark J; Samani, Nilesh J; Kronenberg, Florian; Willeit, Johann; Smith, J Gustav; Greiser, Karin H; Meyer Zu Schwabedissen, Henriette; Werdan, Karl; Carella, Massimo; Zelante, Leopoldo; Heckbert, Susan R; Psaty, Bruce M; Rotter, Jerome I; Kolcic, Ivana; Polašek, Ozren; Wright, Alan F; Griffin, Maura; Daly, Mark J; Arnar, David O; Hólm, Hilma; Thorsteinsdottir, Unnur; Denny, Joshua C; Roden, Dan M; Zuvich, Rebecca L; Emilsson, Valur; Plump, Andrew S; Larson, Martin G; O'Donnell, Christopher J; Yin, Xiaoyan; Bobbo, Marco; D'Adamo, Adamo P; Iorio, Annamaria; Sinagra, Gianfranco; Carracedo, Angel; Cummings, Steven R; Nalls, Michael A; Jula, Antti; Kontula, Kimmo K; Marjamaa, Annukka; Oikarinen, Lasse; Perola, Markus; Porthan, Kimmo; Erbel, Raimund; Hoffmann, Per; Jöckel, Karl-Heinz; Kälsch, Hagen; Nöthen, Markus M; den Hoed, Marcel; Loos, Ruth J F; Thelle, Dag S; Gieger, Christian; Meitinger, Thomas; Perz, Siegfried; Peters, Annette; Prucha, Hanna; Sinner, Moritz F; Waldenberger, Melanie; de Boer, Rudolf A; Franke, Lude; van der Vleuten, Pieter A; Beckmann, Britt Maria; Martens, Eimo; Bardai, Abdennasser; Hofman, Nynke; Wilde, Arthur A M; Behr, Elijah R; Dalageorgou, Chrysoula; Giudicessi, John R; Medeiros-Domingo, Argelia; Barc, Julien; Kyndt, Florence; Probst, Vincent; Ghidoni, Alice; Insolia, Roberto; Hamilton, Robert M; Scherer, Stephen W; Brandimarto, Jeffrey; Margulies, Kenneth; Moravec, Christine E; del Greco M, Fabiola; Fuchsberger, Christian; O'Connell, Jeffrey R; Lee, Wai K; Watt, Graham C M; Campbell, Harry; Wild, Sarah H; El Mokhtari, Nour E; Frey, Norbert; Asselbergs, Folkert W; Mateo Leach, Irene; Navis, Gerjan; van den Berg, Maarten P; van Veldhuisen, Dirk J; Kellis, Manolis; Krijthe, Bouwe P; Franco, Oscar H; Hofman, Albert; Kors, Jan A; Uitterlinden, André G; Witteman, Jacqueline C M; Kedenko, Lyudmyla; Lamina, Claudia; Oostra, Ben A; Abecasis, Gonçalo R; Lakatta, Edward G; Mulas, Antonella; Orrú, Marco; Schlessinger, David; Uda, Manuela; Markus, Marcello R P; Völker, Uwe; Snieder, Harold; Spector, Timothy D; Ärnlöv, Johan; Lind, Lars; Sundström, Johan; Syvänen, Ann-Christine; Kivimaki, Mika; Kähönen, Mika; Mononen, Nina; Raitakari, Olli T; Viikari, Jorma S; Adamkova, Vera; Kiechl, Stefan; Brion, Maria; Nicolaides, Andrew N; Paulweber, Bernhard; Haerting, Johannes; Dominiczak, Anna F; Nyberg, Fredrik; Whincup, Peter H; Hingorani, Aroon D; Schott, Jean-Jacques; Bezzina, Connie R; Ingelsson, Erik; Ferrucci, Luigi; Gasparini, Paolo; Wilson, James F; Rudan, Igor; Franke, Andre; Mühleisen, Thomas W; Pramstaller, Peter P; Lehtimäki, Terho J; Paterson, Andrew D; Parsa, Afshin; Liu, Yongmei; van Duijn, Cornelia M; Siscovick, David S; Gudnason, Vilmundur; Jamshidi, Yalda; Salomaa, Veikko; Felix, Stephan B; Sanna, Serena; Ritchie, Marylyn D; Stricker, Bruno H; Stefansson, Kari; Boyer, Laurie A; Cappola, Thomas P; Olsen, Jesper V; Lage, Kasper; Schwartz, Peter J; Kääb, Stefan; Chakravarti, Aravinda; Ackerman, Michael J; Pfeufer, Arne; de Bakker, Paul I W; Newton-Cheh, Christopher

    2014-08-01

    The QT interval, an electrocardiographic measure reflecting myocardial repolarization, is a heritable trait. QT prolongation is a risk factor for ventricular arrhythmias and sudden cardiac death (SCD) and could indicate the presence of the potentially lethal mendelian long-QT syndrome (LQTS). Using a genome-wide association and replication study in up to 100,000 individuals, we identified 35 common variant loci associated with QT interval that collectively explain ∼8-10% of QT-interval variation and highlight the importance of calcium regulation in myocardial repolarization. Rare variant analysis of 6 new QT interval-associated loci in 298 unrelated probands with LQTS identified coding variants not found in controls but of uncertain causality and therefore requiring validation. Several newly identified loci encode proteins that physically interact with other recognized repolarization proteins. Our integration of common variant association, expression and orthogonal protein-protein interaction screens provides new insights into cardiac electrophysiology and identifies new candidate genes for ventricular arrhythmias, LQTS and SCD. PMID:24952745

  14. Identifying Common Genetic Risk Factors of Diabetic Neuropathies

    PubMed Central

    Witzel, Ini-Isabée; Jelinek, Herbert F.; Khalaf, Kinda; Lee, Sungmun; Khandoker, Ahsan H.; Alsafar, Habiba

    2015-01-01

    Type 2 diabetes mellitus (T2DM) is a global public health problem of epidemic proportions, with 60–70% of affected individuals suffering from associated neurovascular complications that act on multiple organ systems. The most common and clinically significant neuropathies of T2DM include uremic neuropathy, peripheral neuropathy, and cardiac autonomic neuropathy. These conditions seriously impact an individual’s quality of life and significantly increase the risk of morbidity and mortality. Although advances in gene sequencing technologies have identified several genetic variants that may regulate the development and progression of T2DM, little is known about whether or not the variants are involved in disease progression and how these genetic variants are associated with diabetic neuropathy specifically. Significant missing heritability data and complex disease etiologies remain to be explained. This article is the first to provide a review of the genetic risk variants implicated in the diabetic neuropathies and to highlight potential commonalities. We thereby aim to contribute to the creation of a genetic-metabolic model that will help to elucidate the cause of diabetic neuropathies, evaluate a patient’s risk profile, and ultimately facilitate preventative and targeted treatment for the individual. PMID:26074879

  15. Body Mass Index Genetic Risk Score and Endometrial Cancer Risk

    PubMed Central

    Prescott, Jennifer; Setiawan, Veronica W.; Wentzensen, Nicolas; Schumacher, Fredrick; Yu, Herbert; Delahanty, Ryan; Bernstein, Leslie; Chanock, Stephen J.; Chen, Chu; Cook, Linda S.; Friedenreich, Christine; Garcia-Closas, Monserrat; Haiman, Christopher A.; Le Marchand, Loic; Liang, Xiaolin; Lissowska, Jolanta; Lu, Lingeng; Magliocco, Anthony M.; Olson, Sara H.; Risch, Harvey A.; Shu, Xiao-Ou; Ursin, Giske; Yang, Hannah P.; Kraft, Peter; De Vivo, Immaculata

    2015-01-01

    Genome-wide association studies (GWAS) have identified common variants that predispose individuals to a higher body mass index (BMI), an independent risk factor for endometrial cancer. Composite genotype risk scores (GRS) based on the joint effect of published BMI risk loci were used to explore whether endometrial cancer shares a genetic background with obesity. Genotype and risk factor data were available on 3,376 endometrial cancer case and 3,867 control participants of European ancestry from the Epidemiology of Endometrial Cancer Consortium GWAS. A BMI GRS was calculated by summing the number of BMI risk alleles at 97 independent loci. For exploratory analyses, additional GRSs were based on subsets of risk loci within putative etiologic BMI pathways. The BMI GRS was statistically significantly associated with endometrial cancer risk (P = 0.002). For every 10 BMI risk alleles a woman had a 13% increased endometrial cancer risk (95% CI: 4%, 22%). However, after adjusting for BMI, the BMI GRS was no longer associated with risk (per 10 BMI risk alleles OR = 0.99, 95% CI: 0.91, 1.07; P = 0.78). Heterogeneity by BMI did not reach statistical significance (P = 0.06), and no effect modification was noted by age, GWAS Stage, study design or between studies (P≥0.58). In exploratory analyses, the GRS defined by variants at loci containing monogenic obesity syndrome genes was associated with reduced endometrial cancer risk independent of BMI (per BMI risk allele OR = 0.92, 95% CI: 0.88, 0.96; P = 2.1 x 10−5). Possessing a large number of BMI risk alleles does not increase endometrial cancer risk above that conferred by excess body weight among women of European descent. Thus, the GRS based on all current established BMI loci does not provide added value independent of BMI. Future studies are required to validate the unexpected observed relation between monogenic obesity syndrome genetic variants and endometrial cancer risk. PMID:26606540

  16. The ecological risks of genetically engineered organisms

    NASA Astrophysics Data System (ADS)

    Wolfenbarger, Lareesa

    2001-03-01

    Highly publicized studies have suggested environmental risks of releasing genetically engineered organisms (GEOs) and have renewed concerns over the evaluation and regulation of these products in domestic and international arenas. I present an overview of the risks of GEOs and the available evidence addressing these and discuss the challenges for risk assessment. Main categories of risk include non-target effects from GEOs, emergence of new viral diseases, and the spread of invasive (weedy) characteristics. Studies have detected non-target effects in some cases but not all; however, much less information exists on other risks, in part due to a lack of conceptual knowledge. For example, general models for predicting invasiveness are not well developed for any introduced organism. The risks of GEOs appear comparable to those for any introduced species or organism, but the magnitude of the risk or the pathway of exposure to the risk can differ among introduced organisms. Therefore, assessing the risks requires a case-by-case analysis so that any differences can be identified. Challenges to assessing risks to valued ecosystems include variability in effects and ecosystem complexity. Ecosystems are a dynamic and complex network of biological and physical interactions. Introducing a new biological entity, such as a GEO, may potentially alter any of these interactions, but evaluating all of these is unrealistic. Effects on a valued ecosystem could vary greatly depending on the geographical location of the experimental site, the GEO used, the plot size of the experiment (scaling effects), and the biological and physical parameters used in the experiment. Experiments that address these sources of variability will provide the most useful information for risk assessments.

  17. Genetic factors affecting dental caries risk.

    PubMed

    Opal, S; Garg, S; Jain, J; Walia, I

    2015-03-01

    This article reviews the literature on genetic aspects of dental caries and provides a framework for the rapidly changing disease model of caries. The scope is genetic aspects of various dental factors affecting dental caries. The PubMed database was searched for articles with keywords 'caries', 'genetics', 'taste', 'diet' and 'twins'. This was followed by extensive handsearching using reference lists from relevant articles. The post-genomic era will present many opportunities for improvement in oral health care but will also present a multitude of challenges. We can conclude from the literature that genes have a role to play in dental caries; however, both environmental and genetic factors have been implicated in the aetiology of caries. Additional studies will have to be conducted to replicate the findings in a different population. Identification of genetic risk factors will help screen and identify susceptible patients to better understand the contribution of genes in caries aetiopathogenesis. Information derived from these diverse studies will provide new tools to target individuals and/or populations for a more efficient and effective implementation of newer preventive measures and diagnostic and novel therapeutic approaches in the management of this disease.

  18. Multivariate genetic analysis of academic skills of the Queensland core skills test and IQ highlight the importance of genetic g.

    PubMed

    Wainwright, Mark A; Wright, Margaret J; Luciano, Michelle; Geffen, Gina M; Martin, Nicholas G

    2005-12-01

    This study examined the genetic and environmental relationships among 5 academic achievement skills of a standardized test of academic achievement, the Queensland Core Skills Test (QCST; Queensland Studies Authority, 2003a). QCST participants included 182 monozygotic pairs and 208 dizygotic pairs (mean 17 years +/- 0.4 standard deviation). IQ data were included in the analysis to correct for ascertainment bias. A genetic general factor explained virtually all genetic variance in the component academic skills scores, and accounted for 32% to 73% of their phenotypic variances. It also explained 56% and 42% of variation in Verbal IQ and Performance IQ respectively, suggesting that this factor is genetic g. Modest specific genetic effects were evident for achievement in mathematical problem solving and written expression. A single common factor adequately explained common environmental effects, which were also modest, and possibly due to assortative mating. The results suggest that general academic ability, derived from genetic influences and to a lesser extent common environmental influences, is the primary source of variation in component skills of the QCST.

  19. Multivariate genetic analysis of academic skills of the Queensland core skills test and IQ highlight the importance of genetic g.

    PubMed

    Wainwright, Mark A; Wright, Margaret J; Luciano, Michelle; Geffen, Gina M; Martin, Nicholas G

    2005-12-01

    This study examined the genetic and environmental relationships among 5 academic achievement skills of a standardized test of academic achievement, the Queensland Core Skills Test (QCST; Queensland Studies Authority, 2003a). QCST participants included 182 monozygotic pairs and 208 dizygotic pairs (mean 17 years +/- 0.4 standard deviation). IQ data were included in the analysis to correct for ascertainment bias. A genetic general factor explained virtually all genetic variance in the component academic skills scores, and accounted for 32% to 73% of their phenotypic variances. It also explained 56% and 42% of variation in Verbal IQ and Performance IQ respectively, suggesting that this factor is genetic g. Modest specific genetic effects were evident for achievement in mathematical problem solving and written expression. A single common factor adequately explained common environmental effects, which were also modest, and possibly due to assortative mating. The results suggest that general academic ability, derived from genetic influences and to a lesser extent common environmental influences, is the primary source of variation in component skills of the QCST. PMID:16354502

  20. Implementation of next-generation sequencing for molecular diagnosis of hereditary breast and ovarian cancer highlights its genetic heterogeneity.

    PubMed

    Pinto, Pedro; Paulo, Paula; Santos, Catarina; Rocha, Patrícia; Pinto, Carla; Veiga, Isabel; Pinheiro, Manuela; Peixoto, Ana; Teixeira, Manuel R

    2016-09-01

    Molecular diagnosis of hereditary breast and ovarian cancer (HBOC) by standard methodologies has been limited to the BRCA1 and BRCA2 genes. With the recent development of new sequencing methodologies, the speed and efficiency of DNA testing have dramatically improved. The aim of this work was to validate the use of next-generation sequencing (NGS) for the detection of BRCA1/BRCA2 point mutations in a diagnostic setting and to study the role of other genes associated with HBOC in Portuguese families. A cohort of 94 high-risk families was included in the study, and they were initially screened for the two common founder mutations with variant-specific methods. Fourteen index patients were shown to carry the Portuguese founder mutation BRCA2 c.156_157insAlu, and the remaining 80 were analyzed in parallel by Sanger sequencing for the BRCA1/BRCA2 genes and by NGS for a panel of 17 genes that have been described as involved in predisposition to breast and/or ovarian cancer. A total of 506 variants in the BRCA1/BRCA2 genes were detected by both methodologies, with a 100 % concordance between them. This strategy allowed the detection of a total of 39 deleterious mutations in the 94 index patients, namely 10 in BRCA1 (25.6 %), 21 in BRCA2 (53.8 %), four in PALB2 (10.3 %), two in ATM (5.1 %), one in CHEK2 (2.6 %), and one in TP53 (2.6 %), with 20.5 % of the deleterious mutations being found in genes other than BRCA1/BRCA2. These results demonstrate the efficiency of NGS for the detection of BRCA1/BRCA2 point mutations and highlight the genetic heterogeneity of HBOC. PMID:27553368

  1. Identification of successive flowering phases highlights a new genetic control of the flowering pattern in strawberry

    PubMed Central

    Perrotte, Justine; Guédon, Yann; Gaston, Amèlia; Denoyes, Béatrice

    2016-01-01

    The genetic control of the switch between seasonal and perpetual flowering has been deciphered in various perennial species. However, little is known about the genetic control of the dynamics of perpetual flowering, which changes abruptly at well-defined time instants during the growing season. Here, we characterize the perpetual flowering pattern and identify new genetic controls of this pattern in the cultivated strawberry. Twenty-one perpetual flowering strawberry genotypes were phenotyped at the macroscopic scale for their course of emergence of inflorescences and stolons during the growing season. A longitudinal analysis based on the segmentation of flowering rate profiles using multiple change-point models was conducted. The flowering pattern of perpetual flowering genotypes takes the form of three or four successive phases: an autumn-initiated flowering phase, a flowering pause, and a single stationary perpetual flowering phase or two perpetual flowering phases, the second one being more intense. The genetic control of flowering was analysed by quantitative trait locus mapping of flowering traits based on these flowering phases. We showed that the occurrence of a fourth phase of intense flowering is controlled by a newly identified locus, different from the locus FaPFRU, controlling the switch between seasonal and perpetual flowering behaviour. The role of this locus was validated by the analysis of data obtained previously during six consecutive years. PMID:27664957

  2. A weighted genetic risk score using all known susceptibility variants to estimate rheumatoid arthritis risk

    PubMed Central

    Yarwood, Annie; Han, Buhm; Raychaudhuri, Soumya; Bowes, John; Lunt, Mark; Pappas, Dimitrios A; Kremer, Joel; Greenberg, Jeffrey D; Plenge, Robert; Worthington, Jane; Barton, Anne; Eyre, Steve

    2015-01-01

    Background There is currently great interest in the incorporation of genetic susceptibility loci into screening models to identify individuals at high risk of disease. Here, we present the first risk prediction model including all 46 known genetic loci associated with rheumatoid arthritis (RA). Methods A weighted genetic risk score (wGRS) was created using 45 RA non-human leucocyte antigen (HLA) susceptibility loci, imputed amino acids at HLA-DRB1 (11, 71 and 74), HLA-DPB1 (position 9) HLA-B (position 9) and gender. The wGRS was tested in 11 366 RA cases and 15 489 healthy controls. The risk of developing RA was estimated using logistic regression by dividing the wGRS into quintiles. The ability of the wGRS to discriminate between cases and controls was assessed by receiver operator characteristic analysis and discrimination improvement tests. Results Individuals in the highest risk group showed significantly increased odds of developing anti-cyclic citrullinated peptide-positive RA compared to the lowest risk group (OR 27.13, 95% CI 23.70 to 31.05). The wGRS was validated in an independent cohort that showed similar results (area under the curve 0.78, OR 18.00, 95% CI 13.67 to 23.71). Comparison of the full wGRS with a wGRS in which HLA amino acids were replaced by a HLA tag single-nucleotide polymorphism showed a significant loss of sensitivity and specificity. Conclusions Our study suggests that in RA, even when using all known genetic susceptibility variants, prediction performance remains modest; while this is insufficiently accurate for general population screening, it may prove of more use in targeted studies. Our study has also highlighted the importance of including HLA variation in risk prediction models. PMID:24092415

  3. Large-scale targeted sequencing comparison highlights extreme genetic heterogeneity in nephronophthisis-related ciliopathies

    PubMed Central

    Schueler, Markus; Halbritter, Jan; Phelps, Ian G.; Braun, Daniela A.; Otto, Edgar A.; Porath, Jonathan D.; Gee, Heon Yung; Shendure, Jay; O’Roak, Brian J.; Lawson, Jennifer A.; Soliman, Neveen A.; Nabhan, Marwa M.; Doherty, Dan; Hildebrandt, Friedhelm

    2016-01-01

    The term nephronophthisis-related ciliopathies (NPHP-RC) describes a group of rare autosomal-recessive cystic kidney diseases, characterized by broad genetic and clinical heterogeneity. NPHP-RC is frequently associated with extrarenal manifestations and accounts for the majority of genetically caused chronic kidney disease (CKD) during childhood and adolescence. Generation of a molecular diagnosis has been impaired by this broad genetic heterogeneity. However, recently developed high-throughput exon sequencing techniques represent powerful and efficient tools to screen large cohorts for dozens of causative genes. Therefore, we performed massively multiplexed targeted sequencing using the modified molecular inversion probe (MIPs) strategy in an international cohort of 384 patients diagnosed with NPHP-RC. As a result, we established the molecular diagnoses in 81/384 unrelated individuals (21.1%). We detected 127 likely disease-causing mutations in 18 of 34 evaluated NPHP-RC genes, 22 of which were novel. We further compared a subgroup of current findings to the results of a previous study in which we used an array-based microfluidic PCR technology in the same cohort. While 78 likely disease-causing mutations were previously detected by the array-based microfluidic PCR, the MIPs approach identified 94 likely pathogenic mutations. Compared to the previous approach, MIPs re-detected 66 out of 78 variants and 28 previously unidentified variants, for a total of 94 variants. In summary, we demonstrate that the modified MIPs technology is a useful approach to screen large cohorts for a multitude of established NPHP genes in order to identify the underlying molecular cause. Combined application of two independent library preparation and sequencing techniques, however, may still be indicated for Mendelian diseases with extensive genetic heterogeneity in order to further increase diagnostic sensitivity. PMID:26673778

  4. Adiposity significantly modifies genetic risk for dyslipidemia.

    PubMed

    Cole, Christopher B; Nikpay, Majid; Lau, Paulina; Stewart, Alexandre F R; Davies, Robert W; Wells, George A; Dent, Robert; McPherson, Ruth

    2014-11-01

    Recent genome-wide association studies have identified multiple loci robustly associated with plasma lipids, which also contribute to extreme lipid phenotypes. However, these common genetic variants explain <12% of variation in lipid traits. Adiposity is also an important determinant of plasma lipoproteins, particularly plasma TGs and HDL cholesterol (HDLc) concentrations. Thus, interactions between genes and clinical phenotypes may contribute to this unexplained heritability. We have applied a weighted genetic risk score (GRS) for both plasma TGs and HDLc in two large cohorts at the extremes of BMI. Both BMI and GRS were strongly associated with these lipid traits. A significant interaction between obese/lean status and GRS was noted for each of TG (P(Interaction) = 2.87 × 10(-4)) and HDLc (P(Interaction) = 1.05 × 10(-3)). These interactions were largely driven by SNPs tagging APOA5, glucokinase receptor (GCKR), and LPL for TG, and cholesteryl ester transfer protein (CETP), GalNAc-transferase (GALNT2), endothelial lipase (LIPG), and phospholipid transfer protein (PLTP) for HDLc. In contrast, the GRSLDL cholesterol × adiposity interaction was not significant. Sexual dimorphism was evident for the GRSHDL on HDLc in obese (P(Interaction) = 0.016) but not lean subjects. SNP by BMI interactions may provide biological insight into specific genetic associations and missing heritability. PMID:25225679

  5. Genetic risk factors for type 1 diabetes.

    PubMed

    Pociot, Flemming; Lernmark, Åke

    2016-06-01

    Type 1 diabetes is diagnosed at the end of a prodrome of β-cell autoimmunity. The disease is most likely triggered at an early age by autoantibodies primarily directed against insulin or glutamic acid decarboxylase, or both, but rarely against islet antigen-2. After the initial appearance of one of these autoantibody biomarkers, a second, third, or fourth autoantibody against either islet antigen-2 or the ZnT8 transporter might also appear. The larger the number of β-cell autoantibody types, the greater the risk of rapid progression to clinical onset of diabetes. This association does not necessarily mean that the β-cell autoantibodies are pathogenic, but rather that they represent reproducible biomarkers of the pathogenesis. The primary risk factor for β-cell autoimmunity is genetic, mainly occurring in individuals with either HLA-DR3-DQ2 or HLA-DR4-DQ8 haplotypes, or both, but a trigger from the environment is generally needed. The pathogenesis can be divided into three stages: 1, appearance of β-cell autoimmunity, normoglycaemia, and no symptoms; 2, β-cell autoimmunity, dysglycaemia, and no symptoms; and 3, β-cell autoimmunity, dysglycaemia, and symptoms of diabetes. The genetic association with each one of the three stages can differ. Type 1 diabetes could serve as a disease model for organ-specific autoimmune disorders such as coeliac disease, thyroiditis, and Addison's disease, which show similar early markers of a prolonged disease process before clinical diagnosis. PMID:27302272

  6. Ciguatera fish poisoning: a first epidemic in Germany highlights an increasing risk for European countries.

    PubMed

    Mattei, César; Vetter, Irina; Eisenblätter, Anneka; Krock, Bernd; Ebbecke, Martin; Desel, Herbert; Zimmermann, Katharina

    2014-12-01

    Toxin-producing microalgae are thriving worldwide due to coral reef destruction and global warming with major consequences on ecosystems, international trade and human health. Microalgae belonging to the family of flagellate protists, in particular dinoflagellates, secrete a variety of high-molecular-weight polyether toxins that accumulate through the marine food chain to cause disease in humans by acting as sodium channel activator toxins; ciguatera is the most frequent seafood-borne illness worldwide with 50,000 to 500,000 global incidences per annum and is usually limited to endemic areas located between 35° northern and 35° southern latitude. The rising global incidence frequency renders it a major human health problem, because no curative treatment is available yet and reliable detection assays are lacking. During the last decade ciguatera has increasingly become endemic in previously unaffected areas for two reasons: first global warming has contributed to the emergence of dinoflagellate species in subtropical and even temperate regions that previously had been constrained to tropical areas and second: in Europe globalization of fishing industry and tourism has led to a progressive increase in the number of ciguatera cases and a lack of awareness among medical personnel contributes to under-reporting. We review, through a recent ciguatera outbreak in Germany, the risk for ciguatera poisoning in Europe and highlight characteristic symptoms, current knowledge about disease pathomechanisms and treatment options.

  7. Common Gene Variants Account for Most Genetic Risk for Autism

    MedlinePlus

    ... 20, 2014 Common gene variants account for most genetic risk for autism Roles of heritability, mutations, environment ... ASD) was traced to inherited variations in the genetic code shared by many people. These and other ( ...

  8. Risk and reproductive decisions: British Pakistani couples’ responses to genetic counselling

    PubMed Central

    Shaw, Alison

    2011-01-01

    How far does ethnicity/culture/religion mediate couples’ responses to genetic risk? This paper examines the responses of 51 British Pakistani couples referred to a genetics clinic in southern England to counselling about recurrence risks for genetic problems in children. It is based on fieldwork conducted between 2000 and 2004 that combined participant observation of genetics consultations with interviews in respondents’ homes. Interviews were conducted with 62 adults in connection with these 51 cases, of which 32 were followed through two or more clinical consultations and 12 through more than one pregnancy. Risk responses were categorized as: taking the risk; postponing; exploring risk management or dismissing the risk as irrelevant to current circumstances. Responses were cross-referenced for associations with the severity of the condition, number of affected and unaffected children, availability of a prenatal test, age, gender, and migration history. I found that most couples were initially risk-takers who already had an unaffected child or children. Couples caring for living children with severe conditions were more likely to postpone. However, the risk responses of 15 couples changed over time, most towards and some away from risk management, reflecting changes in couples’ appreciation of the severity of the condition and their subsequent reproductive experiences. The study highlights the diversity and dynamism of responses within one ethnic group and challenges stereotypes about cultural and religious responses to genetic risk. PMID:21641705

  9. SATIETY MECHANISMS IN GENETIC RISK OF OBESITY

    PubMed Central

    van Jaarsveld, Cornelia Hendrika Maria; Plomin, Robert; Wardle, Jane

    2014-01-01

    IMPORTANCE A better understanding of the etiology of obesity is a clinical priority. Obesity is highly heritable and specific genes are being identified. Discovering the mechanisms through which obesity-related genes influence weight would help pinpoint novel targets for intervention. One potential mechanism is satiety responsiveness. Lack of satiety characterizes many monogenic obesity disorders, and lower satiety responsiveness is linked with weight gain in population samples. OBJECTIVE We tested the hypothesis that satiety responsiveness is an intermediate behavioral phenotype associated with genetic predisposition to obesity in children. DESIGN Cross-sectional observational study. SETTING Population-based cohort of twins born 1994–1996 (Twins Early Development Study). PARTICIPANTS 2258 unrelated children (53% female; mean age: 9.9 years, SD: 0.84); one randomly selected from each twin pair. EXPOSURE Genetic predisposition to obesity. We created a polygenic risk score (PRS) comprising 28 common obesity-related single nucleotide polymorphisms identified in a meta-analysis of obesity-related genome-wide association studies. MAIN OUTCOMES AND MEASURES Satiety responsiveness was indexed with a standard psychometric scale (the Child Eating Behavior Questionnaire). BMI standard deviation scores (BMI-SDS) and waist-SDS, using 1990 UK reference data, were calculated from parent-reported anthropometric data for the child. Information on satiety responsiveness, anthropometrics and genotype were available for 2258 children. We examined associations between the PRS, adiposity and satiety responsiveness. RESULTS The PRS was negatively related to satiety responsiveness (beta, −0.060; 95% CI, −0.019 to −0.101), and positively related to adiposity (BMI-SDS: beta, 0.177; 95% CI, 0.136 to 0.218; waist-SDS: beta, 0.167; 95% CI, 0.126 to 0.208), and more children in the top 25% of the PRS were overweight than in the lowest 25% (18.5% versus 7.2%, respectively; OR, 2.90; 95

  10. A new explained-variance based genetic risk score for predictive modeling of disease risk.

    PubMed

    Che, Ronglin; Motsinger-Reif, Alison A

    2012-09-25

    The goal of association mapping is to identify genetic variants that predict disease, and as the field of human genetics matures, the number of successful association studies is increasing. Many such studies have shown that for many diseases, risk is explained by a reasonably large number of variants that each explains a very small amount of disease risk. This is prompting the use of genetic risk scores in building predictive models, where information across several variants is combined for predictive modeling. In the current study, we compare the performance of four previously proposed genetic risk score methods and present a new method for constructing genetic risk score that incorporates explained variance information. The methods compared include: a simple count Genetic Risk Score, an odds ratio weighted Genetic Risk Score, a direct logistic regression Genetic Risk Score, a polygenic Genetic Risk Score, and the new explained variance weighted Genetic Risk Score. We compare the methods using a wide range of simulations in two steps, with a range of the number of deleterious single nucleotide polymorphisms (SNPs) explaining disease risk, genetic modes, baseline penetrances, sample sizes, relative risks (RR) and minor allele frequencies (MAF). Several measures of model performance were compared including overall power, C-statistic and Akaike's Information Criterion. Our results show the relative performance of methods differs significantly, with the new explained variance weighted GRS (EV-GRS) generally performing favorably to the other methods.

  11. Genetic 'risk carriers' and lifestyle 'risk takers'. Which risks deserve our legal protection in insurance?

    PubMed

    Van Hoyweghen, Ine; Horstman, Klasien; Schepers, Rita

    2007-09-01

    Over the past years, one of the most contentious topics in policy debates on genetics has been the use of genetic testing in insurance. In the rush to confront concerns about potential abuses of genetic information, most countries throughout Europe and the US have enacted genetics-specific legislation for insurance. Drawing on current debates on the pros and cons of a genetics-specific legislative approach, this article offers empirical insight into how such legislation works out in insurance practice. To this end, ethnographic fieldwork was done in the underwriting departments of Belgian insurance companies. Belgium was one of the first European countries introducing genetics-specific legislation in insurance. Although this approach does not allow us to speak in terms of ' the causal effects of the law', it enables us to point to some developments in insurance practice that are quite different than the law's original intentions. It will not only become clear that the Belgian genetics-specific legislation does not offer adequate solutions to the underlying issues it was intended for. We will also show that, while the legislation's focus has been on the inadmissibility of genetic discrimination, at the same time differences are made in the insurance appraisal within the group of the asymptomatic ill. In other words, by giving exclusive legal protection to the group of genetic risks, other non-genetic risk groups are unintendedly being under-protected. From a policy point of view, studying genetics-specific legislation is especially valuable because it forces us to return to first principles: Which risks deserve our legal protection in insurance? Who do we declare our solidarity with?

  12. Explanatory Models of Genetics and Genetic Risk among a Selected Group of Students.

    PubMed

    Goltz, Heather Honoré; Bergman, Margo; Goodson, Patricia

    2016-01-01

    This exploratory qualitative study focuses on how college students conceptualize genetics and genetic risk, concepts essential for genetic literacy (GL) and genetic numeracy (GN), components of overall health literacy (HL). HL is dependent on both the background knowledge and culture of a patient, and lower HL is linked to increased morbidity and mortality for a number of chronic health conditions (e.g., diabetes and cancer). A purposive sample of 86 students from three Southwestern universities participated in eight focus groups. The sample ranged in age from 18 to 54 years, and comprised primarily of female (67.4%), single (74.4%), and non-White (57%) participants, none of whom were genetics/biology majors. A holistic-content approach revealed broad categories concerning participants' explanatory models (EMs) of genetics and genetic risk. Participants' EMs were grounded in highly contextualized narratives that only partially overlapped with biomedical models. While higher education levels should be associated with predominately knowledge-based EM of genetic risk, this study shows that even in well-educated populations cultural factors can dominate. Study findings reveal gaps in how this sample of young adults obtains, processes, and understands genetic/genomic concepts. Future studies should assess how individuals with low GL and GN obtain and process genetics and genetic risk information and incorporate this information into health decision making. Future work should also address the interaction of communication between health educators, providers, and genetic counselors, to increase patient understanding of genetic risk. PMID:27376052

  13. Explanatory Models of Genetics and Genetic Risk among a Selected Group of Students

    PubMed Central

    Goltz, Heather Honoré; Bergman, Margo; Goodson, Patricia

    2016-01-01

    This exploratory qualitative study focuses on how college students conceptualize genetics and genetic risk, concepts essential for genetic literacy (GL) and genetic numeracy (GN), components of overall health literacy (HL). HL is dependent on both the background knowledge and culture of a patient, and lower HL is linked to increased morbidity and mortality for a number of chronic health conditions (e.g., diabetes and cancer). A purposive sample of 86 students from three Southwestern universities participated in eight focus groups. The sample ranged in age from 18 to 54 years, and comprised primarily of female (67.4%), single (74.4%), and non-White (57%) participants, none of whom were genetics/biology majors. A holistic-content approach revealed broad categories concerning participants’ explanatory models (EMs) of genetics and genetic risk. Participants’ EMs were grounded in highly contextualized narratives that only partially overlapped with biomedical models. While higher education levels should be associated with predominately knowledge-based EM of genetic risk, this study shows that even in well-educated populations cultural factors can dominate. Study findings reveal gaps in how this sample of young adults obtains, processes, and understands genetic/genomic concepts. Future studies should assess how individuals with low GL and GN obtain and process genetics and genetic risk information and incorporate this information into health decision making. Future work should also address the interaction of communication between health educators, providers, and genetic counselors, to increase patient understanding of genetic risk. PMID:27376052

  14. Generating natural hazard risk maps for Styria to highlight differences in the social vulnerability

    NASA Astrophysics Data System (ADS)

    Heß, Vincent

    2016-04-01

    Costs of natural hazards are commonly classified as either damage costs or risk mitigation costs. These categories are not independent, as risk mitigation aims at reducing damage costs. However, the factors that influence the risk of damage costs are still not completely understood. Commonly, the risk is defined as a function of hazard, exposure and vulnerability and we want to produce risk maps that combine existing information about these factors under a common framework. Because of good data availability, the risk maps will be produced for Styria, Austria, where detailed hazard and land-use maps are available on a municipality level and the costs can be verified with private damage data from the Austrian disaster fond. A key issue is the generation of a social vulnerability map by the use of demographic and socio-economic data. We use a statistical model to analyze how much of the variance in the damage data are explainable by considering social characteristics across municipalities. The combination of the aforementioned maps results in a risk map, which can not only display areas of high risks, but also the underlying reasons. Knowledge about risk increasing factors consequently allow for better suited risk mitigation measures. Especially soft measures need to be clearly targeted towards local needs to increase the resilience and adaptive capacity of municipalities.

  15. GENETICS AND POPULATION-LEVEL RISK ASSESSMENT

    EPA Science Inventory

    Genetic variation defines population structure and provides the mechanism for populations to adapt to novel stressors. Despite its fundamental importance in understanding populations, genetic information has been included rarely in models of population dynamics (endangered speci...

  16. Arranging marriage; negotiating risk: genetics and society in Qatar.

    PubMed

    Kilshaw, Susie; Al Raisi, Tasneem; Alshaban, Fouad

    2015-01-01

    This paper considers how the globalized discourse of genetic risk in cousin marriage is shaped, informed and taken up in local moral worlds within the context of Qatar. This paper investigates the way Qataris are negotiating the discourse on genetics and risk. It is based on data from ongoing ethnographic research in Qatar and contributes to anthropological knowledge about this understudied country. Participants were ambivalent about genetic risks and often pointed to other theories of causation in relation to illness and disability. The discourse on genetic risk associated with marrying in the family was familiar, but for some participants the benefits of close marriage outweighed potential risks. Furthermore, the introduction of mandatory pre-marital screening gave participants confidence that risks were monitored and minimized.

  17. Behavioral risk factors among women presenting for genetic testing.

    PubMed

    Emmons, K M; Kalkbrenner, K J; Klar, N; Light, T; Schneider, K A; Garber, J E

    2000-01-01

    Considerable research attention has been given to the impact of genetic testing on psychological outcomes. Participation in genetic testing also may impact on health behaviors that increase the risk of cancer and other chronic diseases. The purpose of this study is to describe behavioral cancer risk factors of women who requested genetic testing for breast and ovarian cancer susceptibility (BRCA1, BRCA2). Before participation in a genetic testing program, 119 women completed a series of questionnaires designed to assess their health behaviors, perception of risk, and depressive symptomatology. Eight percent of participants were current smokers, 27% did not engage in at least moderate exercise, 46% did not regularly protect themselves from the sun, 39% did not consume at least five servings of fruits and vegetables per day, and 9% drank at least one alcoholic beverage per day. Poisson regression analysis revealed that age was the only predictor of behavioral risk profiles, with older women having fewer cancer risk behaviors. These patients who presented for genetic testing generally had better health behaviors than the general population. However, given their possible high-risk status, these patients should consider further improving their preventable cancer risk factors and, in particular, their diet, sun protection, and physical activity levels. Inclusion of behavioral risk factor counseling in the context of the genetic testing process may be an important opportunity to reach this at-risk population.

  18. The Effect of Genetic Risk Information and Health Risk Assessment on Compliance with Preventive Behaviors.

    ERIC Educational Resources Information Center

    Bamberg, Richard; And Others

    1990-01-01

    Results from a study of 82 males provide no statistical support and limited encouragement that genetic risk information may motivate persons to make positive changes in preventive health behaviors. Health risk assessments were used to identify subjects at risk for coronary heart disease or lung cancer because of genetic factors. (IAH)

  19. Highlight report: Launch of a large integrated European in vitro toxicology project: EU-ToxRisk.

    PubMed

    Daneshian, Mardas; Kamp, Hennicke; Hengstler, Jan; Leist, Marcel; van de Water, Bob

    2016-05-01

    The integrated European project, EU-ToxRisk, proudly sees itself as "flagship" exploring new alternative-to-animal approaches to chemical safety evaluation. It promotes mechanism-based toxicity testing and risk assessment according to the principles laid down for toxicology for the twenty-first century. The project was officially launched in January 2016 with a kickoff meeting in Egmond aan Zee, the Netherlands. Over 100 scientists representing academia and industry as well as regulatory authorities attended the inaugural meeting. The project will integrate advances in in vitro and in silico toxicology, read-across methods, and adverse outcome pathways. EU-ToxRisk will continue to make use of the case study strategy deployed in SEURAT-1, a FP7 initiative ended in December 2015. Even though the development of new non-animal methods is one target of EU-ToxRisk, the project puts special emphasis on their acceptance and implementation in regulatory contexts. This €30 million Horizon 2020 project involves 38 European partners and one from the USA. EU-ToxRisk aims at the "development of a new way of risk assessment." PMID:27017488

  20. Highlight report: Launch of a large integrated European in vitro toxicology project: EU-ToxRisk.

    PubMed

    Daneshian, Mardas; Kamp, Hennicke; Hengstler, Jan; Leist, Marcel; van de Water, Bob

    2016-05-01

    The integrated European project, EU-ToxRisk, proudly sees itself as "flagship" exploring new alternative-to-animal approaches to chemical safety evaluation. It promotes mechanism-based toxicity testing and risk assessment according to the principles laid down for toxicology for the twenty-first century. The project was officially launched in January 2016 with a kickoff meeting in Egmond aan Zee, the Netherlands. Over 100 scientists representing academia and industry as well as regulatory authorities attended the inaugural meeting. The project will integrate advances in in vitro and in silico toxicology, read-across methods, and adverse outcome pathways. EU-ToxRisk will continue to make use of the case study strategy deployed in SEURAT-1, a FP7 initiative ended in December 2015. Even though the development of new non-animal methods is one target of EU-ToxRisk, the project puts special emphasis on their acceptance and implementation in regulatory contexts. This €30 million Horizon 2020 project involves 38 European partners and one from the USA. EU-ToxRisk aims at the "development of a new way of risk assessment."

  1. Highlights 1993

    SciTech Connect

    Not Available

    1993-11-01

    Current research programs at Lawrence Berkeley Laboratory are presented. The topics include: the genetic basis for breast cancer, the Advanced Light Source, selenium characterization in soils via x-ray absorption spectroscopy, automated colony sorting in efforts of map the human genome, cancer drugs, the Sudbury Neutrino Observatory (SNO), atomic force microscopes (AFM), mapping the radon risk in homes, ketene research, tracking B mesons and the search for the top quark, computerized scientific visualization, technology transfer efforts, and astronomy in the classroom.

  2. Genetic cancer risk assessment. Putting it all together.

    PubMed

    Weitzel, J N

    1999-12-01

    Dramatic advances in our understanding of the genetic basis for cancer have led to the development of new technologies and tools for genetic cancer risk assessment. Yet, cancer is a complex disorder, and risk assessment, counseling, and management strategies need to consider several important domains: state of cancer genetics knowledge, state of mind (previous cancer experience within the family), state of technology, and state of the art in terms of management. There are several barriers to the efficient identification and counseling of patients and families at high risk for cancer because of inherited susceptibility mutations. Chief among these concerns is the lack of access to competent counseling and education services that are equipped to handle the complex and rapidly evolving medical, technological, and ethical issues. Cancer risk assessment is developing into a distinct discipline in which established empiric risk models are recast along with rapidly evolving genetic technologies for estimation of individual cancer risk. Cancer genetics consultants are an important resource for primary care physicians, gynecologists, surgeons, and oncologists. However, no formal qualification criteria exist for either physicians or allied health care professionals who subspecialize in this new field. This article covers the unique domains of cancer genetics in health care and surveys models for delivery of cancer genetics services and tools for risk assessment. Coupled with innovative cancer diagnostic and preventive services and research, we have the potential to make great strides in cancer prevention and control.

  3. Measurement and associations of pregnancy risk factors with genetic influences, postnatal environmental influences, and toddler behavior

    PubMed Central

    Marceau, Kristine; Hajal, Nastassia; Leve, Leslie D.; Reiss, David; Shaw, Daniel S.; Ganiban, Jody M.; Mayes, Linda C.; Neiderhiser, Jenae M.

    2014-01-01

    This study demonstrates the unique contributions of perinatal risk and genetic and environmental influences on child behavior using data from 561 domestic US adoption triads (birth mothers, adopted child, and adoptive parents). Findings show distinct patterns of associations among genetic (birth mother psychopathology), prenatal (six maternal reported aggregate scores characterizing total obstetric complications, perinatal internalizing symptoms, pregnancy complications, exposure to toxins, substance use, and neonatal complications), and postnatal influences (adoptive parent 18-month internalizing symptoms and over-reactive parenting) and toddler behavior problems (CBCL subscales at 27 months). Findings highlight multiple pathways for toddler’s behavioral development, including genetic, pregnancy, and postnatal main effects. Findings suggest distinct types of pregnancy risk may transmit genetic influences for specific behavior problems rather than broadband problems. PMID:24839336

  4. Measurement and associations of pregnancy risk factors with genetic influences, postnatal environmental influences, and toddler behavior.

    PubMed

    Marceau, Kristine; Hajal, Nastassia; Leve, Leslie D; Reiss, David; Shaw, Daniel S; Ganiban, Jody M; Mayes, Linda C; Neiderhiser, Jenae M

    2013-07-01

    This study demonstrates the unique contributions of perinatal risk and genetic and environmental influences on child behavior using data from 561 domestic US adoption triads (birth mothers, adopted child, and adoptive parents). Findings show distinct patterns of associations among genetic (birth mother psychopathology), prenatal (six maternal reported aggregate scores characterizing total obstetric complications, perinatal internalizing symptoms, pregnancy complications, exposure to toxins, substance use, and neonatal complications), and postnatal influences (adoptive parent 18-month internalizing symptoms and over-reactive parenting) and toddler behavior problems (CBCL subscales at 27 months). Findings highlight multiple pathways for toddler's behavioral development, including genetic, pregnancy, and postnatal main effects. Findings suggest distinct types of pregnancy risk may transmit genetic influences for specific behavior problems rather than broadband problems.

  5. Population-based genetic risk prediction and stratification for ovarian cancer: views from women at high risk.

    PubMed

    Rahman, Belinda; Meisel, Susanne F; Fraser, Lindsay; Side, Lucy; Gessler, Sue; Wardle, Jane; Lanceley, Anne

    2015-03-01

    There is an opportunity to improve outcomes for ovarian cancer (OC) through advances in risk stratification, early detection and diagnosis. A population-based OC genetic risk prediction and stratification program is being developed. A previous focus group study with individuals from the general population showed support for the proposed program. This qualitative interview study explores the attitudes of women at high risk of OC. Eight women participated in one-on-one, in-depth, semi-structured interviews to explore: experiences of learning of OC risk, risk perceptions, OC knowledge and awareness, and opinions on risk stratification approach. There was evidence of strong support for the proposed program. Benefits were seen as providing reassurance to women at low risk, and reducing worry in women at high risk through appropriate clinical management. Stratification into 'low' and 'high' risk groups was well-received. Participants were more hesitant about stratification to the 'intermediate' risk group. The data suggest formats to effectively communicate OC risk estimates will require careful thought. Interactions with GPs were highlighted as a barrier to OC risk assessment and diagnosis. These results are encouraging for the possible introduction and uptake of a risk prediction and stratification program for OC in the general population.

  6. Common genetic risk for melanoma encourages preventive behavior change.

    PubMed

    Diseati, Lori; Scheinfeldt, Laura B; Kasper, Rachel S; Zhaoyang, Ruixue; Gharani, Neda; Schmidlen, Tara J; Gordon, Erynn S; Sessions, Cecili K; Delaney, Susan K; Jarvis, Joseph P; Gerry, Norman; Christman, Michael

    2015-01-01

    There is currently great interest in using genetic risk estimates for common disease in personalized healthcare. Here we assess melanoma risk-related preventive behavioral change in the context of the Coriell Personalized Medicine Collaborative (CPMC). As part of on-going reporting activities within the project, participants received a personalized risk assessment including information related to their own self-reported family history of melanoma and a genetic risk variant showing a moderate effect size (1.7, 3.0 respectively for heterozygous and homozygous individuals). Participants who opted to view their report were sent an optional outcome survey assessing risk perception and behavioral change in the months that followed. Participants that report family history risk, genetic risk, or both risk factors for melanoma were significantly more likely to increase skin cancer preventive behaviors when compared to participants with neither risk factor (ORs = 2.04, 2.79, 4.06 and p-values = 0.02, 2.86 × 10-5, 4.67 × 10-5, respectively), and we found the relationship between risk information and behavior to be partially mediated by anxiety. Genomic risk assessments appear to encourage positive behavioral change in a manner that is complementary to family history risk information and therefore may represent a useful addition to standard of care for melanoma prevention. PMID:25695399

  7. Adaptive genetic variation and heart disease risk

    Technology Transfer Automated Retrieval System (TEKTRAN)

    Purpose of review: Obesity, dyslipidemia and cardiovascular disease are complex and determined by both genetic and environmental factors and their interrelationships. Many associations from genome-wide association studies (GWAS) and candidate gene approaches have described a multitude of polymorphis...

  8. Applying personal genetic data to injury risk assessment in athletes.

    PubMed

    Goodlin, Gabrielle T; Roos, Andrew K; Roos, Thomas R; Hawkins, Claire; Beache, Sydney; Baur, Stephen; Kim, Stuart K

    2014-01-01

    Recent studies have identified genetic markers associated with risk for certain sports-related injuries and performance-related conditions, with the hope that these markers could be used by individual athletes to personalize their training and diet regimens. We found that we could greatly expand the knowledge base of sports genetic information by using published data originally found in health and disease studies. For example, the results from large genome-wide association studies for low bone mineral density in elderly women can be re-purposed for low bone mineral density in young endurance athletes. In total, we found 124 single-nucleotide polymorphisms associated with: anterior cruciate ligament tear, Achilles tendon injury, low bone mineral density and stress fracture, osteoarthritis, vitamin/mineral deficiencies, and sickle cell trait. Of these single nucleotide polymorphisms, 91% have not previously been used in sports genetics. We conducted a pilot program on fourteen triathletes using this expanded knowledge base of genetic variants associated with sports injury. These athletes were genotyped and educated about how their individual genetic make-up affected their personal risk profile during an hour-long personal consultation. Overall, participants were favorable of the program, found it informative, and most acted upon their genetic results. This pilot program shows that recent genetic research provides valuable information to help reduce sports injuries and to optimize nutrition. There are many genetic studies for health and disease that can be mined to provide useful information to athletes about their individual risk for relevant injuries.

  9. Applying Personal Genetic Data to Injury Risk Assessment in Athletes

    PubMed Central

    Goodlin, Gabrielle T.; Roos, Andrew K.; Roos, Thomas R.; Hawkins, Claire; Beache, Sydney; Baur, Stephen; Kim, Stuart K.

    2015-01-01

    Recent studies have identified genetic markers associated with risk for certain sports-related injuries and performance-related conditions, with the hope that these markers could be used by individual athletes to personalize their training and diet regimens. We found that we could greatly expand the knowledge base of sports genetic information by using published data originally found in health and disease studies. For example, the results from large genome-wide association studies for low bone mineral density in elderly women can be re-purposed for low bone mineral density in young endurance athletes. In total, we found 124 single-nucleotide polymorphisms associated with: anterior cruciate ligament tear, Achilles tendon injury, low bone mineral density and stress fracture, osteoarthritis, vitamin/mineral deficiencies, and sickle cell trait. Of these single nucleotide polymorphisms, 91% have not previously been used in sports genetics. We conducted a pilot program on fourteen triathletes using this expanded knowledge base of genetic variants associated with sports injury. These athletes were genotyped and educated about how their individual genetic make-up affected their personal risk profile during an hour-long personal consultation. Overall, participants were favorable of the program, found it informative, and most acted upon their genetic results. This pilot program shows that recent genetic research provides valuable information to help reduce sports injuries and to optimize nutrition. There are many genetic studies for health and disease that can be mined to provide useful information to athletes about their individual risk for relevant injuries. PMID:25919592

  10. Genetic risk factors associated with respiratory distress syndrome.

    PubMed

    Jo, Heui Seung

    2014-04-01

    Respiratory distress syndrome (RDS) among preterm infants is typically due to a quantitative deficiency of pulmonary surfactant. Aside from the degree of prematurity, diverse environmental and genetic factors can affect the development of RDS. The variance of the risk of RDS in various races/ethnicities or monozygotic/dizygotic twins has suggested genetic influences on this disorder. So far, several specific mutations in genes encoding surfactant-associated molecules have confirmed this. Specific genetic variants contributing to the regulation of pulmonary development, its structure and function, or the inflammatory response could be candidate risk factors for the development of RDS. This review summarizes the background that suggests the genetic predisposition of RDS, the identified mutations, and candidate genetic polymorphisms of pulmonary surfactant proteins associated with RDS.

  11. Single-gene association between GATA-2 and autoimmune hepatitis: A novel genetic insight highlighting immunologic pathways to disease.

    PubMed

    Webb, Gwilym; Chen, Yung-Yi; Li, Ka-Kit; Neil, Desley; Oo, Ye Htun; Richter, Alex; Bigley, Venetia; Collin, Matthew; Adams, David H; Hirschfield, Gideon M

    2016-05-01

    Background & Aims Autoimmune hepatitis (AIH), an immune-mediated liver disease, originates as a consequence of interacting genetic and environmental risk factors. Treatment remains non-specific and prone to side effects. Deficiencies in regulatory T cell (Treg) function are hypothesized to contribute to the pathogenesis of AIH. Methods We describe an adult patient who presented with AIH in the context of monocytopenia. The patient was characterized by GATA2 gene sequencing, flow cytometry of peripheral blood for leucocyte subsets, ELISA for serum Flt-3 ligand, and immunohistochemistry of liver biopsy tissue. Results Sequencing confirmed a GATA2 mutation. Peripheral Treg were absent in the context of a preserved total T cell count. Immunostaining for the Treg transcription factor FOXP3 was reduced in liver tissue as compared to a control AIH specimen. There were marked deficiencies in multiple antigen-presenting cell subsets and Flt-3 ligand was elevated. These findings are consistent with previous reports of GATA2 dysfunction. Conclusions The association of a GATA2 mutation with AIH is previously unrecognized. GATA2 encodes a hematopoietic cell transcription factor, and mutations may manifest as monocytopenia, dendritic and B cell deficiencies, myelodysplasia, and immunodeficiency. Tregs may be depleted as in this case. Our findings provide support for the role of Tregs in AIH, complement reports of other deficiencies in T cell regulation causing AIH-like syndromes, and support the rationale of attempting to modulate the Treg axis for the therapeutic benefit of AIH patients.

  12. Single-gene association between GATA-2 and autoimmune hepatitis: A novel genetic insight highlighting immunologic pathways to disease

    PubMed Central

    Webb, Gwilym; Chen, Yung-Yi; Li, Ka-Kit; Neil, Desley; Oo, Ye Htun; Richter, Alex; Bigley, Venetia; Collin, Matthew; Adams, David H.; Hirschfield, Gideon M.

    2016-01-01

    Background & Aims Autoimmune hepatitis (AIH), an immune-mediated liver disease, originates as a consequence of interacting genetic and environmental risk factors. Treatment remains non-specific and prone to side effects. Deficiencies in regulatory T cell (Treg) function are hypothesized to contribute to the pathogenesis of AIH. Methods We describe an adult patient who presented with AIH in the context of monocytopenia. The patient was characterized by GATA2 gene sequencing, flow cytometry of peripheral blood for leucocyte subsets, ELISA for serum Flt-3 ligand, and immunohistochemistry of liver biopsy tissue. Results Sequencing confirmed a GATA2 mutation. Peripheral Treg were absent in the context of a preserved total T cell count. Immunostaining for the Treg transcription factor FOXP3 was reduced in liver tissue as compared to a control AIH specimen. There were marked deficiencies in multiple antigen-presenting cell subsets and Flt-3 ligand was elevated. These findings are consistent with previous reports of GATA2 dysfunction. Conclusions The association of a GATA2 mutation with AIH is previously unrecognized. GATA2 encodes a hematopoietic cell transcription factor, and mutations may manifest as monocytopenia, dendritic and B cell deficiencies, myelodysplasia, and immunodeficiency. Tregs may be depleted as in this case. Our findings provide support for the role of Tregs in AIH, complement reports of other deficiencies in T cell regulation causing AIH-like syndromes, and support the rationale of attempting to modulate the Treg axis for the therapeutic benefit of AIH patients. PMID:26812071

  13. Risk estimations, risk factors, and genetic variants associated with Alzheimer's disease in selected publications from the Framingham Heart Study.

    PubMed

    Weinstein, Galit; Wolf, Philip A; Beiser, Alexa S; Au, Rhoda; Seshadri, Sudha

    2013-01-01

    The study of Alzheimer's disease (AD) in the Framingham Heart Study (FHS), a multi-generational, community-based population study, began nearly four decades ago. In this overview, we highlight findings from seven prior publications that examined lifetime risk estimates for AD, environmental risk factors for AD, circulating and imaging markers of aging-related brain injury, and explorations on the genetics underlying AD. First, we describe estimations of the lifetime risk of AD. These estimates are distinguished from other measures of disease burden and have substantial public health implications. We then describe prospective studies of environmental AD risk factors: one examined the association between plasma levels of omega-3 fatty-acid and risk of incident AD, the other explored the association of diabetes to this risk in subsamples with specific characteristics. With evidence of inflammation as an underlying mechanism, we also describe findings from a study that compared the effects of serum cytokines and spontaneous production of peripheral blood mononuclear cell cytokines on AD risk. Investigating AD related endophenotypes increases sensitivity in identifying risk factors and can be used to explore pathophysiologic pathways between a risk factor and the disease. We describe findings of an association between large volume of white matter hyperintensities and a specific pattern of cognitive deficits in non-demented participants. Finally, we summarize our findings from two genetic studies: The first used genome-wide association (GWA) and family-based association methods to explore the genetic basis of cognitive and structural brain traits. The second is a large meta-analysis GWA study of AD, in which novel loci of AD susceptibility were found. Together, these findings demonstrate the FHS multi-directional efforts in investigating dementia and AD. PMID:22796871

  14. [Genetic risk factors for rheumatoid arthritis].

    PubMed

    Ikari, Katsunori

    2016-06-01

    Rheumatoid arthritis (RA), the most common autoimmune diseases, is a systemic, chronic inflammatory disease, which is primarily involves the joints affecting up to 1% of the population. RA is believed to be a complex, multifarious disease that is influenced by both genetic and environmental factors. Disease susceptibility has been estimated to have a genetic component of 60% by data from twin studies. To date, more than 100 RA susceptibility loci, including HLA-DRB1, have been identified by genome-wide association studies (GWAS) and GWAS meta-analyses. Through a big data approach using large amounts of comprehensive biologic data included GWAS, we identified important information, such as susceptible genes, pathways and cell types that contribute to RA pathogenesis. PMID:27311175

  15. Quantification of the genetic risk of environmental mutagens

    SciTech Connect

    Ehling, U.H.

    1988-03-01

    Screening methods are used for hazard identification. Assays for heritable mutations in mammals are used for the confirmation of short-term test results and for the quantification of the genetic risk. There are two main approaches in making genetic risk estimates. One of these, termed the direct method, expresses risk in terms of the expected frequency of genetic changes induced per unit. The other, referred to as the doubling dose method or the indirect method, expresses risk in relation to the observed incidence of genetic disorders now present in man. The indirect method uses experimental data only for the calculation of the doubling dose. The quality of the risk estimation depends on the assumption of persistence of the induced mutations and the ability to determine the current incidence of genetic diseases. The difficulties of improving the estimates of current incidences of genetic diseases or the persistence of the genes in the population led them to the development of an alternative method, the direct estimation of the genetic risk. The direct estimation uses experimental data for the induced frequency for dominant mutations in mice. For the verification of these quantifications one can use the data of Hiroshima and Nagasaki. According to the estimation with the direct method, one would expect less than 1 radiation-induced dominant cataract in 19,000 children with one or both parents exposed. The expected overall frequency of dominant mutations in the first generation would be 20-25, based on radiation-induced dominant cataract mutations. It is estimated that 10 times more recessive than dominant mutations are induced. The same approaches can be used to determine the impact of chemical mutagens.

  16. [Environmental and genetic risk factors for endometrial carcinoma].

    PubMed

    Sénéchal, Claire; Cottereau, Edouard; de Pauw, Antoine; Elan, Camille; Dagousset, Isabelle; Fourchotte, Virginie; Gauthier-Villars, Marion; Lae, Marick; Stoppa-Lyonnet, Dominique; Buecher, Bruno

    2015-03-01

    In France, endometrial cancer is at the first rank of gynecological cancers for cancer incidence, before ovarian and cervical cancers. In fact, the number of incident cases has been estimated to 7275 for the year 2012; the number of death due to endometrial cancer to 2025. This cancer is hormone-dependent and endogenous (reproductive factors) or exogenous (oral combined contraceptives, hormone replacement therapy) causes of exposition to estrogens are the major environmental risk factors for both types of endometrial cancers: type I or well-differentiated endometrioid adenocarcinomas; and type II including all other histological types: papillary serous adenocarcinomas, clear cell adenocarcinomas and carcinosarcomas, also known as malignant mixed Mullerian tumor, MMMT. Obesity, diabetes mellitus and adjuvant treatment of breast cancer with tamoxifen are also associated with an increased risk of endometrial cancer. Genetic factors may also be implicated in the pathogenesis of endometrial cancer either as "minor genetic factors" (susceptibility factors), which remain largely unknown and are responsible for the increased observed risk in relatives of women affected with endometrial cancer; or as major genetic factors responsible for hereditary forms and namely for Lynch syndrome whose genetic transmission is of autosomic dominant type. The appropriate recognition of Lynch syndrome is of critical importance because affected patients and their relatives should benefit from specific care. The aims of this review is to describe major environmental and genetic risk factors for endometrial cancer with specific attention to most recent advances in this field and to describe recommendations for care of at-risk women.

  17. Effects of early-life environment and epigenetics on cardiovascular disease risk in children: highlighting the role of twin studies.

    PubMed

    Sun, Cong; Burgner, David P; Ponsonby, Anne-Louise; Saffery, Richard; Huang, Rae-Chi; Vuillermin, Peter J; Cheung, Michael; Craig, Jeffrey M

    2013-04-01

    Cardiovascular disease (CVD) is the leading cause of death worldwide and originates in early life. The exact mechanisms of this early-life origin are unclear, but a likely mediator at the molecular level is epigenetic dysregulation of gene expression. Epigenetic factors have thus been posited as the likely drivers of early-life programming of adult-onset diseases. This review summarizes recent advances in epidemiology and epigenetic research of CVD risk in children, with a particular focus on twin studies. Classic twin studies enable partitioning of phenotypic variance within a population into additive genetic, shared, and nonshared environmental variances, and are invaluable in research in this area. Longitudinal cohort twin studies, in particular, may provide important insights into the role of epigenetics in the pathogenesis of CVD. We describe candidate gene and epigenome-wide association studies (EWASs) and transgenerational epigenetic inheritance of CVD, and discuss the potential for evidence-based interventions. Identifying epigenetic changes associated with CVD-risk biomarkers in children will provide new opportunities to unravel the underlying biological mechanism of the origins of CVD and enable identification of those at risk for early-life interventions to alter the risk trajectory and potentially reduce CVD incidence later in life.

  18. Do Environmental Factors Modify the Genetic Risk of Prostate Cancer?

    PubMed Central

    Loeb, Stacy; Peskoe, Sarah B.; Joshu, Corinne E.; Huang, Wen-Yi; Hayes, Richard B.; Carter, H. Ballentine; Isaacs, William B.; Platz, Elizabeth A.

    2015-01-01

    Background Many SNPs influence prostate cancer risk. To what extent genetic risk can be reduced by environmental factors is unknown. Methods We evaluated effect modification by environmental factors of the association between susceptibility SNPs and prostate cancer in 1,230 incident prostate cancer cases and 1,361 controls, all white and similar ages, nested in the Prostate, Lung, Colorectal, and Ovarian (PLCO) Cancer Trial. Genetic risk scores were calculated as number of risk alleles for 20 validated SNPs. We estimated the association between higher genetic risk (≥ 12 SNPs) and prostate cancer within environmental factor strata and tested for interaction. Results Men with ≥12 risk alleles had 1.98, 2.04, and 1.91 times the odds of total, advanced, and nonadvanced prostate cancer, respectively. These associations were attenuated with the use of selenium supplements, aspirin, ibuprofen, and higher vegetable intake. For selenium, the attenuation was most striking for advanced prostate cancer: compared with <12 alleles and no selenium, the OR for ≥12 alleles was 2.06 [95% confidence interval (CI), 1.67–2.55] in nonusers and 0.99 (0.38–2.58) in users (Pinteraction = 0.031). Aspirin had the most marked attenuation for nonadvanced prostate cancer: compared with <12 alleles and nonusers, the OR for ≥12 alleles was 2.25 (1.69–3.00) in nonusers and 1.70 (1.25–2.32) in users (Pinteraction = 0.009). This pattern was similar for ibuprofen (Pinteraction = 0.023) and vegetables (Pinteraction = 0.010). Conclusions This study suggests that selenium supplements may reduce genetic risk of advanced prostate cancer, whereas aspirin, ibuprofen, and vegetables may reduce genetic risk of nonadvanced prostate cancer. PMID:25342390

  19. Living with Genetic Risk: Effect on Adolescent Self-Concept

    PubMed Central

    McConkie-Rosell, Allyn; Spiridigliozzi, Gail A.; Melvin, Elizabeth; Dawson, Deborah V.; Lachiewicz, Ave M.

    2009-01-01

    The purpose of this study is to describe the interplay of adolescent girls’ self-concept, coping behaviors, and adjustment associated with knowledge of genetic risk for fragile X syndrome. We will report here findings on self concept. Using a multi-group cross-sectional design this study focused on girls ages 14–25 years from families previously diagnosed with fragile X syndrome, who knew they were 1) carriers (n = 20; mean age 18.35 years s.d. 2.5), or 2) noncarriers (n =18; mean age 17.78 years s.d. 2.69), or 3) at-risk to be carriers (n = 15; mean age 17.87 s.d. 3.18). The girls completed the Tennessee Self Concept Scale (TSCS:2), a visual analog scale, and a guided interview. Total and all subscale scores on the TSCS:2 were in the normal range for all three groups. However, threats to self concept were found in personal self (physical self, genetic identity, and parental role), social self, and family self (family genetic identity) as they specifically related to the meaning of genetic information and varied based on risk status. Our findings suggest that risk information itself is threatening and for some girls, may be as threatening as learning one is a carrier. Certainty related to genetic risk status appears to make a positive difference for some girls by allowing them the opportunity to face the challenge of their genetic risk status and to begin to consider the meaning of this information. PMID:18200514

  20. "In sickness and in health"? Disclosures of genetic risks in dating.

    PubMed

    Klitzman, Robert L; Sweeney, Meghan M

    2011-02-01

    Individuals who have, or are at risk for, various genetic disorders face many challenges concerning disclosures of genetic information in dating situations. We conducted a qualitative interview study of 64 individuals confronting Huntington's disease, breast cancer, or Alpha-1 antitrypsin deficiency, examining what issues these individuals encountered, and how they viewed and addressed these--including issues of understandings, privacy, and disclosures of genetic information to various groups (e.g., family members). Incidental to the primary research questions addressed, participants also often described a series of dilemmas in dating situations that they and/or family members, friends, and fellow patients faced of whether to date, and if so, whether, what, how, why, and when to disclose their genetic risk or illness. At times, these individuals feared and experienced rejection, and hence delayed, avoided, or opposed disclosure, or disclosed indirectly or inadvertently. These data are reported in this paper and highlight the importance of patients, their loved ones, genetic counselors, and other health care providers being aware of these issues, and appreciating the complex factors involved, which can affect patients' coping and social support. This paper, the first to explore several key aspects of disclosures of genetic information in dating, thus suggests needs for public and professional education, and future research in this area.

  1. Disparities in Cancer Genetic Risk Assessment and Testing.

    PubMed

    Underhill, Meghan L; Jones, Tarsha; Habin, Karleen

    2016-07-01

    Scientific and technologic advances in genomics have revolutionized genetic counseling and testing, targeted therapy, and cancer screening and prevention. Among younger women, African American and Hispanic women have a higher rate of cancers that are associated with hereditary cancer risk, such as triple-negative breast cancer, which is linked to poorer outcomes. Therefore, genetic testing is particularly important in diverse populations. Unfortunately, all races and ethnic groups are not well represented in current genetic testing practices, leading to disparities in cancer prevention and early detection.

  2. Beyond the patient: the broader impact of genetic discrimination among individuals at risk of Huntington disease.

    PubMed

    Bombard, Yvonne; Palin, JoAnne; Friedman, Jan M; Veenstra, Gerry; Creighton, Susan; Bottorff, Joan L; Hayden, Michael R

    2012-03-01

    We aimed to address gaps in current understanding of the scope and impact of discrimination, by examining a cohort of individuals at-risk for Huntington disease (HD), to describe the prevalence of concern for oneself and one's family in multiple domains; strategies used to mitigate discrimination; and the extent to which concerns relate to experiences. We conducted a cross-sectional survey of 293 individuals at-risk for HD (80% response rate); 167 respondents were genetically tested and 66 were not. Fear of discrimination was widespread (86%), particularly in the insurance, family and social settings. Approximately half of concerned individuals experienced discrimination (40-62%, depending on genetic status). Concern was associated with "keeping quiet" about one's risk of HD or "taking action to avoid" discrimination. Importantly, concern was highly distressing for some respondents (21% for oneself; 32% for relatives). Overall, concerned respondents with high education levels, who discovered their family history at a younger age, and those who were mutation-positive were more likely to report experiences of discrimination than others who were concerned. Concerns were rarely attributed to genetic test results alone. Concern about genetic discrimination is frequent among individuals at-risk of HD and spans many settings. It influences behavioral patterns and can result in high levels of self-rated distress, highlighting the need for practice and policy interventions. © 2012 Wiley Periodicals, Inc.

  3. Telomere shortening as genetic risk factor of liver cirrhosis.

    PubMed

    Carulli, Lucia

    2015-01-14

    Cirrhosis is the main complication of chronic liver disease, leads to progressive liver function impairment and is the main risk factor for the development of liver cancer. Liver failure at endstage cirrhosis is associated with increased mortality with liver transplantation as the only possible treatment at this stage. The pathogenesis of liver cirrhosis is not completely elucidated. Although the common factors leading to liver injury, such as viral hepatitis, alcohol consume or fatty liver disease can be identified in the majority of patients a small percentage of patients have no apparent risk factors. Moreover given the same risk factors, some patients progress to cirrhosis whereas others have a benign course, the reason remains unclear. In order to develop new diagnostic and therapeutic tools, it is s essential to understand the pathogenesis of cirrhosis. The identification of genetic risk factors associated with cirrhosis is one of the possible approach to achieve these goal. In the past years several studies have supported the role of telomere shortening and cirrhosis. In the recent year several studies on the relation between several single nucleotide polymorphism (SNPs) and cirrhosis have been published; it has been proposed also a cirrhosis risk score based on seven SNPs. Also epidemiological studies on identical twins and in different ethnic groups have been supporting the importance of the role of genetic risk factors. Finally in the very recent years it has been suggested that telomere shortening may represent a genetic risk factor for the development of cirrhosis. PMID:25593453

  4. Are centenarians genetically predisposed to lower disease risk?

    PubMed

    Ruiz, Jonatan R; Fiuza-Luces, Carmen; Buxens, Amaya; Cano-Nieto, Amalia; Gómez-Gallego, Félix; Santiago, Catalina; Rodríguez-Romo, Gabriel; Garatachea, Nuria; Lao, José I; Morán, María; Lucia, Alejandro

    2012-10-01

    Our study purpose was to compare a disease-related polygenic profile that combined a total of 62 genetic variants among (i) people reaching exceptional longevity, i.e., centenarians (n = 54, 100-108 years, 48 women) and (ii) ethnically matched healthy controls (n = 87, 19-43 years, 47 women). We computed a 'global' genotype score (GS) for 62 genetic variants (mutations/polymorphisms) related to cardiometabolic diseases, cancer or exceptional longevity, and also specific GS for main disease categories (cardiometabolic risk and cancer risk, including 36 and 24 genetic variations, respectively) and for exceptional longevity (7 genetic variants). The 'global' GS was similar among groups (centenarians: 31.0 ± 0.6; controls 32.0 ± 0.5, P = 0.263). We observed that the GS for hypertension, cancer (global risk), and other types of cancer was lower in the centenarians group compared with the control group (all P < 0.05), yet the difference became non significant after adjusting for sex. We observed significant between-group differences in the frequency of GSTT1 and GSTM1 (presence/absence) genotypes after adjusting for multiple comparisons. The likelihood of having the GSTT1 low-risk (functional) allele was higher in centenarians (odds ratio [OR] 5.005; 95% confidence interval [CI], 1.810-13.839), whereas the likelihood of having the GSTMI low-risk (functional) allele was similar in both groups (OR 1.295; 95% CI, 0.868 -1.931). In conclusion, we found preliminary evidence that Spanish centenarians have a lower genetic predisposition for cancer risk. The wild-type (i.e., functional) genotype of GSTT1, which is associated with lower cancer risk, might be associated with exceptional longevity, yet further studies with larger sample sizes must confirm these findings.

  5. Genetics and alcoholism among at-risk relatives I: perceptions of cause, risk, and control.

    PubMed

    Gamm, Jennifer L; Nussbaum, Robert L; Biesecker, Barbara Bowles

    2004-07-15

    Genetic factors influence a person's risk for developing alcoholism. In other common disorders with a genetic component, a belief in a genetic cause can lead to less perceived control or fatalism among those at risk that may adversely affect undertaking health-promoting behaviors. This study explores beliefs about the cause of alcoholism and risk perception among individuals with affected relatives. In-depth interviews including both open-ended questions and several quantitative measures were conducted with participants to explore the relationships between causal beliefs and perceptions of personal risk and control. Twenty-seven individuals with at least one first-degree relative affected with alcoholism participated. Transcript analysis of interviews revealed that all participants attribute multiple factors to the cause of alcoholism in their families, often as a combination of biological, genetic, environmental factors, and personal characteristics. Many perceived themselves as being 'at-risk,' and this concern often stemmed from a belief in a genetic or biological cause of alcoholism. However, participants also had a strong sense of personal control, rooted in beliefs about environmental causes or personal characteristics influencing alcoholism risk. A participant's strong belief in a genetic cause was associated with a significantly increased risk perception, but not a fatalistic outlook towards developing alcoholism.

  6. Experiences of genetic risk: disclosure and the gendering of responsibility.

    PubMed

    d'Agincourt-Canning, L

    2001-06-01

    The question of 'who owns genetic information' is increasingly a focus of ethical inquiry. Applied to predictive testing, several recent critiques suggest that persons with a genetic disorder have a moral duty to disclose that information to other family members. The justification for this obligation is that genetic information belongs to and may benefit not only a single individual, but also members of a biological kinship. This paper considers this issue from a different vantage point: How does gender intersect with the moral duty to disclose genetic information? Scholars have argued that gender is partly comprised of distinct assignments and assumptions of responsibility. Thus, there is a danger that gendered patterns of socialization will make women feel that they should take primary responsibility for disclosing genetic information to others. This article explores issues of responsibility and disclosure of risk information by drawing on an empirical study of women and men who have undergone genetic testing for hereditary breast/ovarian cancer. The research study suggests that disclosure of genetic information is a gendered activity, with both the benefits and burdens of this task falling primarily on women. It also illustrates that when disclosure is understood contextually, it is a far more complicated matter than when viewed through a theoretical lens. The article considers the relevance of these findings on ethical debate and genetic counselling practices.

  7. Health risks of genetically modified foods.

    PubMed

    Dona, Artemis; Arvanitoyannis, Ioannis S

    2009-02-01

    As genetically modified (GM) foods are starting to intrude in our diet concerns have been expressed regarding GM food safety. These concerns as well as the limitations of the procedures followed in the evaluation of their safety are presented. Animal toxicity studies with certain GM foods have shown that they may toxically affect several organs and systems. The review of these studies should not be conducted separately for each GM food, but according to the effects exerted on certain organs it may help us create a better picture of the possible health effects on human beings. The results of most studies with GM foods indicate that they may cause some common toxic effects such as hepatic, pancreatic, renal, or reproductive effects and may alter the hematological, biochemical, and immunologic parameters. However, many years of research with animals and clinical trials are required for this assessment. The use of recombinant GH or its expression in animals should be re-examined since it has been shown that it increases IGF-1 which may promote cancer.

  8. Diffusion of information about genetic risk within families.

    PubMed

    Ayme, Ségolène; Macquart-Moulin, Geneviève; Julian-Reynier, Claire; Chabal, Françoise; Giraud, Francis

    1993-01-01

    Recent developments in genetics are likely to exacerbate the ethical issues in clinical practice, especially with regard to privacy and disclosure of genetic information. To evaluate the behaviour of patients with respect to transmitting carrier information, we undertook a survey of 283 families with a balanced chromosomal rearrangement as a model. In these families, 1816 relatives were considered at risk and 806 of them were karyotyped (44.4%). The percentage of karyotypes performed is significantly related to the number of living children of the index couple, the reason for referral, the nature of the anomaly, the training of the counsellor and the age of the index case. This study shows the limits of the screening of at risk individuals within families, based on the willingness of the patients, and addresses practical and ethical issues around family disclosure in medical genetics.

  9. An animal model of differential genetic risk for methamphetamine intake.

    PubMed

    Phillips, Tamara J; Shabani, Shkelzen

    2015-01-01

    The question of whether genetic factors contribute to risk for methamphetamine (MA) use and dependence has not been intensively investigated. Compared to human populations, genetic animal models offer the advantages of control over genetic family history and drug exposure. Using selective breeding, we created lines of mice that differ in genetic risk for voluntary MA intake and identified the chromosomal addresses of contributory genes. A quantitative trait locus was identified on chromosome 10 that accounts for more than 50% of the genetic variance in MA intake in the selected mouse lines. In addition, behavioral and physiological screening identified differences corresponding with risk for MA intake that have generated hypotheses that are testable in humans. Heightened sensitivity to aversive and certain physiological effects of MA, such as MA-induced reduction in body temperature, are hallmarks of mice bred for low MA intake. Furthermore, unlike MA-avoiding mice, MA-preferring mice are sensitive to rewarding and reinforcing MA effects, and to MA-induced increases in brain extracellular dopamine levels. Gene expression analyses implicate the importance of a network enriched in transcription factor genes, some of which regulate the mu opioid receptor gene, Oprm1, in risk for MA use. Neuroimmune factors appear to play a role in differential response to MA between the mice bred for high and low intake. In addition, chromosome 10 candidate gene studies provide strong support for a trace amine-associated receptor 1 gene, Taar1, polymorphism in risk for MA intake. MA is a trace amine-associated receptor 1 (TAAR1) agonist, and a non-functional Taar1 allele segregates with high MA consumption. Thus, reduced TAAR1 function has the potential to increase risk for MA use. Overall, existing findings support the MA drinking lines as a powerful model for identifying genetic factors involved in determining risk for harmful MA use. Future directions include the development of a

  10. An animal model of differential genetic risk for methamphetamine intake

    PubMed Central

    Phillips, Tamara J.; Shabani, Shkelzen

    2015-01-01

    The question of whether genetic factors contribute to risk for methamphetamine (MA) use and dependence has not been intensively investigated. Compared to human populations, genetic animal models offer the advantages of control over genetic family history and drug exposure. Using selective breeding, we created lines of mice that differ in genetic risk for voluntary MA intake and identified the chromosomal addresses of contributory genes. A quantitative trait locus was identified on chromosome 10 that accounts for more than 50% of the genetic variance in MA intake in the selected mouse lines. In addition, behavioral and physiological screening identified differences corresponding with risk for MA intake that have generated hypotheses that are testable in humans. Heightened sensitivity to aversive and certain physiological effects of MA, such as MA-induced reduction in body temperature, are hallmarks of mice bred for low MA intake. Furthermore, unlike MA-avoiding mice, MA-preferring mice are sensitive to rewarding and reinforcing MA effects, and to MA-induced increases in brain extracellular dopamine levels. Gene expression analyses implicate the importance of a network enriched in transcription factor genes, some of which regulate the mu opioid receptor gene, Oprm1, in risk for MA use. Neuroimmune factors appear to play a role in differential response to MA between the mice bred for high and low intake. In addition, chromosome 10 candidate gene studies provide strong support for a trace amine-associated receptor 1 gene, Taar1, polymorphism in risk for MA intake. MA is a trace amine-associated receptor 1 (TAAR1) agonist, and a non-functional Taar1 allele segregates with high MA consumption. Thus, reduced TAAR1 function has the potential to increase risk for MA use. Overall, existing findings support the MA drinking lines as a powerful model for identifying genetic factors involved in determining risk for harmful MA use. Future directions include the development of a

  11. Genetic risk score analysis indicates migraine with and without comorbid depression are genetically different disorders.

    PubMed

    Ligthart, Lannie; Hottenga, Jouke-Jan; Lewis, Cathryn M; Farmer, Anne E; Craig, Ian W; Breen, Gerome; Willemsen, Gonneke; Vink, Jacqueline M; Middeldorp, Christel M; Byrne, Enda M; Heath, Andrew C; Madden, Pamela A F; Pergadia, Michele L; Montgomery, Grant W; Martin, Nicholas G; Penninx, Brenda W J H; McGuffin, Peter; Boomsma, Dorret I; Nyholt, Dale R

    2014-02-01

    Migraine and major depressive disorder (MDD) are comorbid, moderately heritable and to some extent influenced by the same genes. In a previous paper, we suggested the possibility of causality (one trait causing the other) underlying this comorbidity. We present a new application of polygenic (genetic risk) score analysis to investigate the mechanisms underlying the genetic overlap of migraine and MDD. Genetic risk scores were constructed based on data from two discovery samples in which genome-wide association analyses (GWA) were performed for migraine and MDD, respectively. The Australian Twin Migraine GWA study (N = 6,350) included 2,825 migraine cases and 3,525 controls, 805 of whom met the diagnostic criteria for MDD. The RADIANT GWA study (N = 3,230) included 1,636 MDD cases and 1,594 controls. Genetic risk scores for migraine and for MDD were used to predict pure and comorbid forms of migraine and MDD in an independent Dutch target sample (NTR-NESDA, N = 2,966), which included 1,476 MDD cases and 1,058 migraine cases (723 of these individuals had both disorders concurrently). The observed patterns of prediction suggest that the 'pure' forms of migraine and MDD are genetically distinct disorders. The subgroup of individuals with comorbid MDD and migraine were genetically most similar to MDD patients. These results indicate that in at least a subset of migraine patients with MDD, migraine may be a symptom or consequence of MDD.

  12. [Recommendations for genetic testing and management of individuals genetically at-risk of cutaneous melanoma].

    PubMed

    Avril, M-F; Bahadoran, P; Cabaret, O; Caron, O; de la Fouchardière, A; Demenais, F; Desjardins, L; Frébourg, T; Hammel, P; Leccia, M-T; Lesueur, F; Mahé, E; Martin, L; Maubec, E; Remenieras, A; Richard, S; Robert, C; Soufir, N; Stoppa-Lyonnet, D; Thomas, L; Vabres, P; Bressac-de Paillerets, B

    2015-01-01

    Cutaneous melanoma is a multifactorial disease resulting from both environmental and genetic factors. Five susceptibility genes have been identified over the past years, comprising high-risk susceptibility genes (CDKN2A, CDK4, and BAP1 genes) and intermediate-risk susceptibility genes (MITF, and MC1R genes). The aim of this expert consensus was to define clinical contexts justifying genetic analyses, to describe the conduct of these analyses, and to propose surveillance recommendations. Given the regulatory constraints, it is recommended that dermatologists work in tandem with a geneticist. Genetic analysis may be prescribed when at least two episodes of histologically proven invasive cutaneous melanoma have been diagnosed before the age of 75 years in two 1st or 2nd degree relatives or in the same individual. The occurrence in the same individual or in a relative of invasive cutaneous melanoma with ocular melanoma, pancreatic cancer, renal cancer, mesothelioma or a central nervous system tumour are also indications for genetic testing. Management is based upon properly managed photoprotection and dermatological monitoring according to genetic status. Finally, depending on the mutated gene and the familial history, associated tumour risks require specific management (e.g. ocular melanoma, pancreatic cancer). Due to the rapid progress in genetics, these recommendations will need to be updated regularly.

  13. [Recommendations for genetic testing and management of individuals genetically at-risk of cutaneous melanoma].

    PubMed

    Avril, M-F; Bahadoran, P; Cabaret, O; Caron, O; de la Fouchardière, A; Demenais, F; Desjardins, L; Frébourg, T; Hammel, P; Leccia, M-T; Lesueur, F; Mahé, E; Martin, L; Maubec, E; Remenieras, A; Richard, S; Robert, C; Soufir, N; Stoppa-Lyonnet, D; Thomas, L; Vabres, P; Bressac-de Paillerets, B

    2015-01-01

    Cutaneous melanoma is a multifactorial disease resulting from both environmental and genetic factors. Five susceptibility genes have been identified over the past years, comprising high-risk susceptibility genes (CDKN2A, CDK4, and BAP1 genes) and intermediate-risk susceptibility genes (MITF, and MC1R genes). The aim of this expert consensus was to define clinical contexts justifying genetic analyses, to describe the conduct of these analyses, and to propose surveillance recommendations. Given the regulatory constraints, it is recommended that dermatologists work in tandem with a geneticist. Genetic analysis may be prescribed when at least two episodes of histologically proven invasive cutaneous melanoma have been diagnosed before the age of 75 years in two 1st or 2nd degree relatives or in the same individual. The occurrence in the same individual or in a relative of invasive cutaneous melanoma with ocular melanoma, pancreatic cancer, renal cancer, mesothelioma or a central nervous system tumour are also indications for genetic testing. Management is based upon properly managed photoprotection and dermatological monitoring according to genetic status. Finally, depending on the mutated gene and the familial history, associated tumour risks require specific management (e.g. ocular melanoma, pancreatic cancer). Due to the rapid progress in genetics, these recommendations will need to be updated regularly. PMID:25600792

  14. Pathogenesis of coronary artery disease: focus on genetic risk factors and identification of genetic variants

    PubMed Central

    Sayols-Baixeras, Sergi; Lluís-Ganella, Carla; Lucas, Gavin; Elosua, Roberto

    2014-01-01

    Coronary artery disease (CAD) is the leading cause of death and disability worldwide, and its prevalence is expected to increase in the coming years. CAD events are caused by the interplay of genetic and environmental factors, the effects of which are mainly mediated through cardiovascular risk factors. The techniques used to study the genetic basis of these diseases have evolved from linkage studies to candidate gene studies and genome-wide association studies. Linkage studies have been able to identify genetic variants associated with monogenic diseases, whereas genome-wide association studies have been more successful in determining genetic variants associated with complex diseases. Currently, genome-wide association studies have identified approximately 40 loci that explain 6% of the heritability of CAD. The application of this knowledge to clinical practice is challenging, but can be achieved using various strategies, such as genetic variants to identify new therapeutic targets, personal genetic information to improve disease risk prediction, and pharmacogenomics. The main aim of this narrative review is to provide a general overview of our current understanding of the genetics of coronary artery disease and its potential clinical utility. PMID:24520200

  15. MET Receptor Tyrosine Kinase as an Autism Genetic Risk Factor

    PubMed Central

    Peng, Yun; Huentelman, Matthew; Smith, Christopher; Qiu, Shenfeng

    2014-01-01

    In this chapter, we will briefly discuss recent literature on the role of MET receptor tyrosine kinase (RTK) in brain development and how perturbation of MET signaling may alter normal neurodevelopmental outcomes. Recent human genetic studies have established MET as a risk factor for autism, and the molecular and cellular underpinnings of this genetic risk are only beginning to emerge from obscurity. Unlike many autism risk genes that encode synaptic proteins, the spatial and temporal expression pattern of MET RTK indicates this signaling system is ideally situated to regulate neuronal growth, functional maturation, and establishment of functional brain circuits, particularly in those brain structures involved in higher levels of cognition, social skills, and executive functions. PMID:24290385

  16. "Electro-clinical syndromes" with onset in paediatric age: the highlights of the clinical-EEG, genetic and therapeutic advances

    PubMed Central

    2011-01-01

    The genetic causes underlying epilepsy remain largely unknown, and the impact of available genetic data on the nosology of epilepsy is still limited. Thus, at present, classification of epileptic disorders should be mainly based on electroclinical features. Electro-clinical syndrome is a term used to identify a group of clinical entities showing a cluster of electro-clinical characteristics, with signs and symptoms that together define a distinctive, recognizable, clinical disorder. These often become the focus of treatment trials as well as of genetic, neuropsychological, and neuroimaging investigations. They are distinctive disorders identifiable on the basis of a typical age onset, specific EEG characteristics, seizure types, and often other features which, when taken together, permit a specific diagnosis which, in turn, often has implications for treatment, management, and prognosis. Each electro-clinical syndrome can be classified according to age at onset, cognitive and developmental antecedents and consequences, motor and sensory examinations, EEG features, provoking or triggering factors, and patterns of seizure occurrence with respect to sleep. Therefore, according to the age at onset, here we review the more frequently observed paediatric electro-clinical syndrome from their clinical-EEG, genetic and therapeutic point of views. PMID:22182677

  17. Aquaculture: Incorporating risk assessment and risk management into public policies on genetically modified finfish and shellfish

    SciTech Connect

    Hallerman, E.M.; Kapuscinski, A.R.

    1995-12-31

    Genetically modified finfish and shellfish pose economic benefits to aquaculture, but also pose ecological and genetic risks to ecosystems receiving such organisms. Realization of benefits with minimization of risks posed by a new technology can be addressed through the processes of risk assessment and risk management. Public policies adopted by individual countries will reflect differences in the outocme of risk assessment and risk management processes resulting from differences among the receiving ecosystems and sets of human values at issue. A number of countries and international institutions have begun development of policies for oversight of genetically modified aquatic organisms. In the United States, a working group commissioned by the U.S. Department of Agriculture incorporated risk assessment and risk management principles into draft performance standards for safely conducting research with genetically modified finfish and shellfish. The performance standards address research with a broad range of aquatic GMO`s and compliance is intended to be voluntary. In contrast, the Canadian policy mandates adherence to specified guidelines for experiments with transgenic aquatic organisms; establishment as national policy is expended soon.

  18. Assessment of the value of a genetic risk score in improving the estimation of coronary risk

    Technology Transfer Automated Retrieval System (TEKTRAN)

    The American Heart Association has established criteria for the evaluation of novel markers of cardiovascular risk. In accordance with these criteria, we assessed the association between a multi-locus genetic risk score (GRS) and incident coronary heart disease (CHD), and evaluated whether this GRS ...

  19. Environmental Adversity Increases Genetic Risk for Externalizing Disorders

    PubMed Central

    Hicks, Brian M.; South, Susan C.; DiRago, Ana C.; Iacono, William G.; McGue, Matt

    2008-01-01

    Background Studies of gene-environment (G-E) interplay in the development of psychiatric and substance use disorders are rapidly accumulating. However, few attempts have been made to integrate findings and articulate general mechanisms of G-E influence in the emergence of psychopathology. Objective Identify patterns of G-E interplay between externalizing (EXT; antisocial behavior and substance use) disorders and several environmental risk factors. Design We used quantitative genetic models to examine how genetic and environmental risk for EXT disorders changes as a function of environmental context. Setting Participants were recruited from the community and took part in a day-long assessment at a university laboratory. Participants The sample consisted of 1315 male and female twin pairs participating in the age 17 assessment of the Minnesota Twin Family Study. Main Outcome Measures Multiple measures and informants were employed to construct a composite of EXT disorders and composite measures of 6 environmental risk factors including academic achievement and engagement, antisocial and prosocial peer affiliation, mother-child and father-child relationship problems, and stressful life events. Results A significant G × E interaction was detected between each environmental risk factor and EXT such that greater environmental adversity was associated with increased genetic risk in EXT. Conclusion Our findings demonstrate that in the context of environmental adversity, genetic factors become more important in the etiology of EXT disorders. The consistency of the results further suggests a general mechanism of environmental influence on EXT disorders regardless of the specific form of the environmental risk. PMID:19487629

  20. Environmental risk assessment for medicinal products containing genetically modified organisms.

    PubMed

    Anliker, B; Longhurst, S; Buchholz, C J

    2010-01-01

    Many gene therapy medicinal products and also some vaccines consist of, or contain, genetically modified organisms (GMOs), which require specific consideration in the environmental risk assessment (ERA) before marketing authorisation or clinical trial applications. The ERA is performed in order to identify the potential risks for public health and the environment, which may arise due to the clinical use of these medicinal products. If such environmental risks are identified and considered as not acceptable, the ERA should go on to propose appropriate risk management strategies capable to reduce these risks. This article will provide an overview of the legal basis and requirements for the ERA of GMO-containing medicinal products in the context of marketing authorisation in the EU and clinical trials in Germany. Furthermore, the scientific principles and methodology that generally need to be followed when preparing an ERA for GMOs are discussed. PMID:19940966

  1. Environmental risk assessment for medicinal products containing genetically modified organisms.

    PubMed

    Anliker, B; Longhurst, S; Buchholz, C J

    2010-01-01

    Many gene therapy medicinal products and also some vaccines consist of, or contain, genetically modified organisms (GMOs), which require specific consideration in the environmental risk assessment (ERA) before marketing authorisation or clinical trial applications. The ERA is performed in order to identify the potential risks for public health and the environment, which may arise due to the clinical use of these medicinal products. If such environmental risks are identified and considered as not acceptable, the ERA should go on to propose appropriate risk management strategies capable to reduce these risks. This article will provide an overview of the legal basis and requirements for the ERA of GMO-containing medicinal products in the context of marketing authorisation in the EU and clinical trials in Germany. Furthermore, the scientific principles and methodology that generally need to be followed when preparing an ERA for GMOs are discussed.

  2. Genetic determinants of risk and progression in multiple sclerosis

    PubMed Central

    Didonna, Alessandro; Oksenberg, Jorge R.

    2015-01-01

    Multiple sclerosis (MS) is an autoimmune disease that represents a primary cause of neurological disability in the young adult population. Converging evidence support the importance of genetic determinants for MS etiology. However, with the exception of the major histocompatibility complex, their nature has been elusive for more than 20 years. In the last decade, the advent of large genome-wide association studies has significantly improved our understanding of the disease, leading to the golden era of MS genetic research. To date more than 110 genetic variants have been firmly associated to an increased risk of developing MS. A large part of these variants tag genes involved in the regulation of immune response and several of them are shared with other autoimmune diseases, suggesting a common etiological root for this class of disorders. Despite the impressive body of data obtained in the last years, we are still far from fully decoding MS genetic complexity. For example, we ignore how these genetic factors interact with each other and with the environment. Thus, the biggest challenge for the next era of MS research will consist in identifying and characterizing the molecular mechanisms and the cellular pathways in which these risk variants play a role. PMID:25661088

  3. Surprises From Genetic Analyses of Lipid Risk Factors for Atherosclerosis.

    PubMed

    Musunuru, Kiran; Kathiresan, Sekar

    2016-02-19

    Observational epidemiological studies have associated plasma lipid concentrations with risk for coronary heart disease (CHD), but these studies cannot distinguish cause from mere correlation. Human genetic studies, when considered with the results of randomized controlled trials of medications, can potentially shed light on whether lipid biomarkers are causal for diseases. Genetic analyses and randomized trials suggest that low-density lipoprotein is causal for CHD, whereas high-density lipoprotein is not. Surprisingly, human genetic evidence suggests that lipoprotein(a) and triglyceride-rich lipoproteins causally contribute to CHD. Gene variants leading to higher levels of plasma apolipoprotein B-containing lipoproteins [low-density lipoprotein, triglyceride-rich lipoproteins, or lipoprotein(a)] consistently increase risk for CHD. For triglyceride-rich lipoproteins, the most compelling evidence revolves around lipoprotein lipase and its endogenous facilitator (APOA5 [apolipoprotein A-V]) and inhibitory proteins (APOC3 [apolipoprotein C-III], ANGPTL4 [angiopoietin like 4]). Combined, these genetic results anticipate that, beyond low-density lipoprotein, pharmacological lowering of triglyceride-rich lipoproteins or lipoprotein(a) will reduce risk for CHD, but this remains to be proven through randomized controlled trials.

  4. Shared Genetic Factors Influence Amygdala Volumes and Risk for Alcoholism

    PubMed Central

    Dager, Alecia D; McKay, D Reese; Kent, Jack W; Curran, Joanne E; Knowles, Emma; Sprooten, Emma; Göring, Harald HH; Dyer, Thomas D; Pearlson, Godfrey D; Olvera, Rene L; Fox, Peter T; Lovallo, William R; Duggirala, Ravi; Almasy, Laura; Blangero, John; Glahn, David C

    2015-01-01

    Alcohol abuse and dependence (alcohol use disorders, AUDs) are associated with brain shrinkage. Subcortical structures including the amygdala, hippocampus, ventral striatum, dorsal striatum, and thalamus subserve reward functioning and may be particularly vulnerable to alcohol-related damage. These structures may also show pre-existing deficits impacting the development and maintenance of AUD. It remains unclear whether there are common genetic features underlying both subcortical volumes and AUD. In this study, structural brain images were acquired from 872 Mexican-American individuals from extended pedigrees. Subcortical volumes were obtained using FreeSurfer, and quantitative genetic analyses were performed in SOLAR. We hypothesized the following: (1) reduced subcortical volumes in individuals with lifetime AUD relative to unrelated controls; (2) reduced subcortical volumes in individuals with current relative to past AUD; (3) in non-AUD individuals, reduced subcortical volumes in those with a family history of AUD compared to those without; and (4) evidence for common genetic underpinnings (pleiotropy) between AUD risk and subcortical volumes. Results showed that individuals with lifetime AUD showed larger ventricular and smaller amygdala volumes compared to non-AUD individuals. For the amygdala, there were no differences in volume between current vs past AUD, and non-AUD individuals with a family history of AUD demonstrated reductions compared to those with no such family history. Finally, amygdala volume was genetically correlated with the risk for AUD. Together, these results suggest that reduced amygdala volume reflects a pre-existing difference rather than alcohol-induced neurotoxic damage. Our genetic correlation analysis provides evidence for a common genetic factor underlying both reduced amygdala volumes and AUD risk. PMID:25079289

  5. Genetic Differentiation of the Western Capercaillie Highlights the Importance of South-Eastern Europe for Understanding the Species Phylogeography

    PubMed Central

    Ballian, Dalibor; Kunovac, Saša; Zubić, Goran; Grubešić, Marijan; Zhelev, Petar; Paule, Ladislav; Grebenc, Tine; Kraigher, Hojka

    2011-01-01

    The Western Capercaillie (Tetrao urogallus L.) is a grouse species of open boreal or high altitude forests of Eurasia. It is endangered throughout most mountain range habitat areas in Europe. Two major genetically identifiable lineages of Western Capercaillie have been described to date: the southern lineage at the species' southernmost range of distribution in Europe, and the boreal lineage. We address the question of genetic differentiation of capercaillie populations from the Rhodope and Rila Mountains in Bulgaria, across the Dinaric Mountains to the Slovenian Alps. The two lineages' contact zone and resulting conservation strategies in this so-far understudied area of distribution have not been previously determined. The results of analysis of mitochondrial DNA control region sequences of 319 samples from the studied populations show that Alpine populations were composed exclusively of boreal lineage; Dinaric populations of both, but predominantly (96%) of boreal lineage; and Rhodope-Rila populations predominantly (>90%) of southern lineage individuals. The Bulgarian mountains were identified as the core area of the southern lineage, and the Dinaric Mountains as the western contact zone between both lineages in the Balkans. Bulgarian populations appeared genetically distinct from Alpine and Dinaric populations and exhibited characteristics of a long-term stationary population, suggesting that they should be considered as a glacial relict and probably a distinct subspecies. Although all of the studied populations suffered a decline in the past, the significantly lower level of genetic diversity when compared with the neighbouring Alpine and Bulgarian populations suggests that the isolated Dinaric capercaillie is particularly vulnerable to continuing population decline. The results are discussed in the context of conservation of the species in the Balkans, its principal threats and legal protection status. Potential conservation strategies should consider the

  6. The Next Generation of Risk Assessment Multi-Year Study—Highlights of Findings, Applications to Risk Assessment, and Future Directions

    PubMed Central

    Cote, Ila; Andersen, Melvin E.; Ankley, Gerald T.; Barone, Stanley; Birnbaum, Linda S.; Boekelheide, Kim; Bois, Frederic Y.; Burgoon, Lyle D.; Chiu, Weihsueh A.; Crawford-Brown, Douglas; Crofton, Kevin M.; DeVito, Michael; Devlin, Robert B.; Edwards, Stephen W.; Guyton, Kathryn Z.; Hattis, Dale; Judson, Richard S.; Knight, Derek; Krewski, Daniel; Lambert, Jason; Maull, Elizabeth Anne; Mendrick, Donna; Paoli, Gregory M.; Patel, Chirag Jagdish; Perkins, Edward J.; Poje, Gerald; Portier, Christopher J.; Rusyn, Ivan; Schulte, Paul A.; Simeonov, Anton; Smith, Martyn T.; Thayer, Kristina A.; Thomas, Russell S.; Thomas, Reuben; Tice, Raymond R.; Vandenberg, John J.; Villeneuve, Daniel L.; Wesselkamper, Scott; Whelan, Maurice; Whittaker, Christine; White, Ronald; Xia, Menghang; Yauk, Carole; Zeise, Lauren; Zhao, Jay; DeWoskin, Robert S.

    2016-01-01

    , Andersen ME, Ankley GT, Barone S, Birnbaum LS, Boekelheide K, Bois FY, Burgoon LD, Chiu WA, Crawford-Brown D, Crofton KM, DeVito M, Devlin RB, Edwards SW, Guyton KZ, Hattis D, Judson RS, Knight D, Krewski D, Lambert J, Maull EA, Mendrick D, Paoli GM, Patel CJ, Perkins EJ, Poje G, Portier CJ, Rusyn I, Schulte PA, Simeonov A, Smith MT, Thayer KA, Thomas RS, Thomas R, Tice RR, Vandenberg JJ, Villeneuve DL, Wesselkamper S, Whelan M, Whittaker C, White R, Xia M, Yauk C, Zeise L, Zhao J, DeWoskin RS. 2016. The Next Generation of Risk Assessment multiyear study—highlights of findings, applications to risk assessment, and future directions. Environ Health Perspect 124:1671–1682; http://dx.doi.org/10.1289/EHP233 PMID:27091369

  7. Genetic determinants of quantitative traits associated with cardiovascular disease risk.

    PubMed

    Smolková, Božena; Bonassi, Stefano; Buociková, Verona; Dušinská, Mária; Horská, Alexandra; Kuba, Daniel; Džupinková, Zuzana; Rašlová, Katarína; Gašparovič, Juraj; Slíž, Ivan; Ceppi, Marcello; Vohnout, Branislav; Wsólová, Ladislava; Volkovová, Katarína

    2015-08-01

    Established risk factors for cardiovascular diseases (CVD) may be moderated by genetic variants. In 2403 unrelated individuals from general practice (mean age 40.5 years), we evaluated the influence of 15 variants in 12 candidate genes on quantitative traits (QT) associated with CVD (body mass index, abdominal obesity, glucose, serum lipids, and blood pressure). Prior to multiple testing correction, univariate analysis associated APOE rs429358, rs7412 and ATG16L1 rs2241880 variants with serum lipid levels, while LEPR rs1137100 and ATG16L1 rs2241880 variants were linked to obesity related QTs. After taking into account confounding factors and correcting for multiple comparisons only APOE rs429358 and rs7412 variants remained significantly associated with risk of dyslipidemia. APOE rs429358 variant almost tripled the risk in homozygous subjects (OR = 2.97; 95% CI 1.09-8.10, p < 0.03) and had a lesser but still highly significant association also in heterozygous individuals (OR = 1.67; 95% CI 1.24-2.10; p < 0.001). Associations with hypertension, diabetes mellitus, and metabolic syndrome were not significant after Bonferroni correction. The influence of genetic variation is more evident in dyslipidemia than in other analyzed QTs. These results may contribute to strategic research aimed at including genetic variation in the set of data required to identify subjects at high risk of CVD. PMID:26043189

  8. A Genotypic-Oriented View of CFTR Genetics Highlights Specific Mutational Patterns Underlying Clinical Macrocategories of Cystic Fibrosis

    PubMed Central

    Lucarelli, Marco; Bruno, Sabina Maria; Pierandrei, Silvia; Ferraguti, Giampiero; Stamato, Antonella; Narzi, Fabiana; Amato, Annalisa; Cimino, Giuseppe; Bertasi, Serenella; Quattrucci, Serena; Strom, Roberto

    2015-01-01

    Cystic fibrosis (CF) is a monogenic disease caused by mutations of the cystic fibrosis transmembrane conductance regulator (CFTR) gene. The genotype–phenotype relationship in this disease is still unclear, and diagnostic, prognostic and therapeutic challenges persist. We enrolled 610 patients with different forms of CF and studied them from a clinical, biochemical, microbiological and genetic point of view. Overall, there were 125 different mutated alleles (11 with novel mutations and 10 with complex mutations) and 225 genotypes. A strong correlation between mutational patterns at the genotypic level and phenotypic macrocategories emerged. This specificity appears to largely depend on rare and individual mutations, as well as on the varying prevalence of common alleles in different clinical macrocategories. However, 19 genotypes appeared to underlie different clinical forms of the disease. The dissection of the pathway from the CFTR mutated genotype to the clinical phenotype allowed to identify at least two components of the variability usually found in the genotype–phenotype relationship. One component seems to depend on the genetic variation of CFTR, the other component on the cumulative effect of variations in other genes and cellular pathways independent from CFTR. The experimental dissection of the overall biological CFTR pathway appears to be a powerful approach for a better comprehension of the genotype–phenotype relationship. However, a change from an allele-oriented to a genotypic-oriented view of CFTR genetics is mandatory, as well as a better assessment of sources of variability within the CFTR pathway. PMID:25910067

  9. Increased genetic risk for obesity in premature coronary artery disease.

    PubMed

    Cole, Christopher B; Nikpay, Majid; Stewart, Alexandre F R; McPherson, Ruth

    2016-04-01

    There is ongoing controversy as to whether obesity confers risk for CAD independently of associated risk factors including diabetes mellitus. We have carried out a Mendelian randomization study using a genetic risk score (GRS) for body mass index (BMI) based on 35 risk alleles to investigate this question in a population of 5831 early onset CAD cases without diabetes mellitus and 3832 elderly healthy control subjects, all of strictly European ancestry, with adjustment for traditional risk factors (TRFs). We then estimated the genetic correlation between these BMI and CAD (rg) by relating the pairwise genetic similarity matrix to a phenotypic covariance matrix between these two traits. GRSBMI significantly (P=2.12 × 10(-12)) associated with CAD status in a multivariate model adjusted for TRFs, with a per allele odds ratio (OR) of 1.06 (95% CI 1.042-1.076). The addition of GRSBMI to TRFs explained 0.75% of CAD variance and yielded a continuous net recombination index of 16.54% (95% CI=11.82-21.26%, P<0.0001). To test whether GRSBMI explained CAD status when adjusted for measured BMI, separate models were constructed in which the score and BMI were either included as covariates or not. The addition of BMI explained ~1.9% of CAD variance and GRSBMI plus BMI explained 2.65% of CAD variance. Finally, using bivariate restricted maximum likelihood analysis, we provide strong evidence of genome-wide pleiotropy between obesity and CAD. This analysis supports the hypothesis that obesity is a causal risk factor for CAD. PMID:26220701

  10. Genetically modified foods: hazard identification and risk assessment. Session summary.

    PubMed

    Ito, Nobuyuki

    2002-07-01

    During a Joint Society of Toxicologic Pathology (STP)/International Federation of Societies of Toxicologic Pathologists (IFSTP) International Symposium, held between June 24 and 28, 2001, in Orlando, FL, USA, there was a session entitled as "Genetically Modified Foods: Hazard Identification and Risk Assessment". The purpose of this session was to present and discuss the current situations in the US, European Union and Japan for the public concerns, safety assessments and regulations on genetically modified (GM) products used as foods or food ingredients. Assuming the wide and fast growing of the usage of GM products, it is the duty for us as toxicologic pathologists, to supply reliable data on their safety and possible risks or hazards as a world-wide basis to not only governments or regulatory agencies but also general public of our countries.

  11. Creating a genetic risk score for coronary artery disease.

    PubMed

    Dandona, Sonny; Roberts, Robert

    2009-05-01

    Coronary artery disease (CAD) and its sequelae represent a significant health burden. Over the past two decades, numerous studies have attempted to link DNA sequence variation with the risk of CAD and related phenotypes. There has been significant evolution in technology from the early linkage studies within kindreds, and now we are able to use high-density genotyping to facilitate large-scale genome-wide association studies. The first novel genetic risk factor for CAD, 9p21.3, has been confirmed, and other loci are awaiting replication studies. The relative importance of each locus from a global standpoint and the incremental information conferred by testing for genetic variants remain to be determined. PMID:19361348

  12. Genetic polymorphisms as a risk factor for dyslipidemia in children.

    PubMed

    Santos, Izabela R; Fernandes, Ana Paula; Sousa, Marinez O; Ferreira, Cláudia N; Gomes, Karina B

    2013-06-01

    Dyslipidemia is an important etiological factor for development of cardiovascular disease, which is the leading cause of deaths in adults. Given the growing global epidemic of dyslipidemia, lipoprotein metabolism disorders have become an important health problem not only in adulthood, but have also emerged as an increasingly risk factor in childhood. Although several genome-wide association studies in multiple large population-based cohorts of adults and meta-analyses have identified susceptibility genes or loci, especially in lipid-related traits, it is of great importance to evaluate genetic predisposition at an early age. Recent findings suggest that the identification of polymorphisms in the metabolism of lipids in childhood may help fight subclinical atherosclerosis and its progression to cardiovascular complications in adulthood. Therefore, the aim of this study was to review genetic polymorphisms as risk factors associated with dyslipidemia in children and adolescents. PMID:27625842

  13. Genetic polymorphisms as a risk factor for dyslipidemia in children

    PubMed Central

    Santos, Izabela R.; Fernandes, Ana Paula; Sousa, Marinez O.; Ferreira, Cláudia N.; Gomes, Karina B.

    2013-01-01

    Dyslipidemia is an important etiological factor for development of cardiovascular disease, which is the leading cause of deaths in adults. Given the growing global epidemic of dyslipidemia, lipoprotein metabolism disorders have become an important health problem not only in adulthood, but have also emerged as an increasingly risk factor in childhood. Although several genome-wide association studies in multiple large population-based cohorts of adults and meta-analyses have identified susceptibility genes or loci, especially in lipid-related traits, it is of great importance to evaluate genetic predisposition at an early age. Recent findings suggest that the identification of polymorphisms in the metabolism of lipids in childhood may help fight subclinical atherosclerosis and its progression to cardiovascular complications in adulthood. Therefore, the aim of this study was to review genetic polymorphisms as risk factors associated with dyslipidemia in children and adolescents. PMID:27625842

  14. APOL1 Kidney Risk Alleles: Population Genetics and Disease Associations

    PubMed Central

    Limou, Sophie; Nelson, George W.; Kopp, Jeffrey B.; Winkler, Cheryl A.

    2014-01-01

    APOL1 kidney disease is a unique case in the field of the genetics of common disease: 2 variants (termed G1 and G2) with high population frequency have been repeatedly associated with nondiabetic CKDs, with very strong effect size (odds ratios 3–29) in populations of sub-Saharan African descent. This review provides an update on the spectrum of APOL1 kidney disease and on the worldwide distribution of these kidney risk variants. We also summarize the proper way to run a recessive analysis on joint and independent effects of APOL1 G1 and G2 kidney risk variants. PMID:25168832

  15. Genetic risks and familial associations of small bowel carcinoma

    PubMed Central

    Shenoy, Santosh

    2016-01-01

    Adenocarcinoma of small intestines (SBA) is a relatively rare malignancy with poor outcomes due to delayed diagnosis. Fifty percent of patients have metastases on presentation and therefore early detection and treatment offers the best long term outcomes. Certain genetic polyposis syndromes and familial diseases are associated with increased risks for SBA. These include familial adenomatous polyposis (FAP), Lynch syndromes (LS), Juvenile polyposis syndrome, Peutz-Jeghers syndrome, Crohn’s disease (CD) and celiac disease. Mutations in APC gene, Mismatch repair genes, STK11 gene, and SMAD4 gene have been implicated for the genetic diseases respectively. While there are no specific inherited genetic mutations for CD, genome-wide association studies have established over 140 loci associated with CD. CpG island mutations with defects in mismatch repair genes have been identified in celiac disease. Significant diagnostic advances have occurred in the past decade and intuitively, it would seem beneficial to use these advanced modalities for surveillance of these patients. At present it is debatable and no clear data exists to support this approach except for established guidelines to diagnose duodenal polyps in FAP, and LS. Here we discuss the genetic alterations, cancer risks, signaling mechanisms and briefly touch the surveillance modalities available for these genetic and clinical syndromes. English language articles from PubMed/Medline and Embase was searched were collected using the phrases “small-bowel adenocarcinoma, genetics, surveillance, familial adenomatous polyposis, lynch syndromes, Peutz-Jeghers syndrome, juvenile polyposis syndrome, CD and celiac disease”. Figures, tables and schematic diagram to illustrate pathways are included in the review. PMID:27326320

  16. Genetic risks and familial associations of small bowel carcinoma.

    PubMed

    Shenoy, Santosh

    2016-06-15

    Adenocarcinoma of small intestines (SBA) is a relatively rare malignancy with poor outcomes due to delayed diagnosis. Fifty percent of patients have metastases on presentation and therefore early detection and treatment offers the best long term outcomes. Certain genetic polyposis syndromes and familial diseases are associated with increased risks for SBA. These include familial adenomatous polyposis (FAP), Lynch syndromes (LS), Juvenile polyposis syndrome, Peutz-Jeghers syndrome, Crohn's disease (CD) and celiac disease. Mutations in APC gene, Mismatch repair genes, STK11 gene, and SMAD4 gene have been implicated for the genetic diseases respectively. While there are no specific inherited genetic mutations for CD, genome-wide association studies have established over 140 loci associated with CD. CpG island mutations with defects in mismatch repair genes have been identified in celiac disease. Significant diagnostic advances have occurred in the past decade and intuitively, it would seem beneficial to use these advanced modalities for surveillance of these patients. At present it is debatable and no clear data exists to support this approach except for established guidelines to diagnose duodenal polyps in FAP, and LS. Here we discuss the genetic alterations, cancer risks, signaling mechanisms and briefly touch the surveillance modalities available for these genetic and clinical syndromes. English language articles from PubMed/Medline and Embase was searched were collected using the phrases "small-bowel adenocarcinoma, genetics, surveillance, familial adenomatous polyposis, lynch syndromes, Peutz-Jeghers syndrome, juvenile polyposis syndrome, CD and celiac disease". Figures, tables and schematic diagram to illustrate pathways are included in the review. PMID:27326320

  17. Identification of new genetic risk factors for prostate cancer.

    PubMed

    Guy, Michelle; Kote-Jarai, Zsofia; Giles, Graham G; Al Olama, Ali Amin; Jugurnauth, Sarah K; Mulholland, Shani; Leongamornlert, Daniel A; Edwards, Stephen M; Morrison, Jonathan; Field, Helen I; Southey, Melissa C; Severi, Gianluca; Donovan, Jenny L; Hamdy, Freddie C; Dearnaley, David P; Muir, Kenneth R; Smith, Charmaine; Bagnato, Melisa; Ardern-Jones, Audrey T; Hall, Amanda L; O'Brien, Lynne T; Gehr-Swain, Beatrice N; Wilkinson, Rosemary A; Cox, Angela; Lewis, Sarah; Brown, Paul M; Jhavar, Sameer G; Tymrakiewicz, Malgorzata; Lophatananon, Artitaya; Bryant, Sarah L; Horwich, Alan; Huddart, Robert A; Khoo, Vincent S; Parker, Christopher C; Woodhouse, Christopher J; Thompson, Alan; Christmas, Tim; Ogden, Chris; Fisher, Cyril; Jameson, Charles; Cooper, Colin S; English, Dallas R; Hopper, John L; Neal, David E; Easton, Douglas F; Eeles, Rosalind A

    2009-01-01

    There is evidence that a substantial part of genetic predisposition to prostate cancer (PCa) may be due to lower penetrance genes which are found by genome-wide association studies. We have recently conducted such a study and seven new regions of the genome linked to PCa risk have been identified. Three of these loci contain candidate susceptibility genes: MSMB, LMTK2 and KLK2/3. The MSMB and KLK2/3 genes may be useful for PCa screening, and the LMTK2 gene might provide a potential therapeutic target. Together with results from other groups, there are now 23 germline genetic variants which have been reported. These results have the potential to be developed into a genetic test. However, we consider that marketing of tests to the public is premature, as PCa risk can not be evaluated fully at this stage and the appropriate screening protocols need to be developed. Follow-up validation studies, as well as studies to explore the psychological implications of genetic profile testing, will be vital prior to roll out into healthcare.

  18. A Family-Centered Model for Sharing Genetic Risk.

    PubMed

    Daly, Mary B

    2015-01-01

    The successes of the Human Genome Project have ushered in a new era of genomic science. To effectively translate these discoveries, it will be critical to improve the communication of genetic risk within families. This will require a systematic approach that accounts for the nature of family relationships and sociocultural beliefs. This paper proposes the application of the Family Systems Illness Model, used in the setting of cancer care, to the evolving field of genomics. PMID:26479564

  19. Mapping autism risk loci using genetic linkage and chromosomal rearrangements

    PubMed Central

    Szatmari, Peter; Paterson, Andrew; Zwaigenbaum, Lonnie; Roberts, Wendy; Brian, Jessica; Liu, Xiao-Qing; Vincent, John; Skaug, Jennifer; Thompson, Ann; Senman, Lili; Feuk, Lars; Qian, Cheng; Bryson, Susan; Jones, Marshall; Marshall, Christian; Scherer, Stephen; Vieland, Veronica; Bartlett, Christopher; Mangin, La Vonne; Goedken, Rhinda; Segre, Alberto; Pericak-Vance, Margaret; Cuccaro, Michael; Gilbert, John; Wright, Harry; Abramson, Ruth; Betancur, Catalina; Bourgeron, Thomas; Gillberg, Christopher; Leboyer, Marion; Buxbaum, Joseph; Davis, Kenneth; Hollander, Eric; Silverman, Jeremy; Hallmayer, Joachim; Lotspeich, Linda; Sutcliffe, James; Haines, Jonathan; Folstein, Susan; Piven, Joseph; Wassink, Thomas; Sheffield, Val; Geschwind, Daniel; Bucan, Maja; Brown, Ted; Cantor, Rita; Constantino, John; Gilliam, Conrad; Herbert, Martha; Lajonchere, Clara; Ledbetter, David; Lese-Martin, Christa; Miller, Janet; Nelson, Stan; Samango-Sprouse, Carol; Spence, Sarah; State, Matthew; Tanzi, Rudolph; Coon, Hilary; Dawson, Geraldine; Devlin, Bernie; Estes, Annette; Flodman, Pamela; Klei, Lambertus; Mcmahon, William; Minshew, Nancy; Munson, Jeff; Korvatska, Elena; Rodier, Patricia; Schellenberg, Gerard; Smith, Moyra; Spence, Anne; Stodgell, Chris; Tepper, Ping Guo; Wijsman, Ellen; Yu, Chang-En; Rogé, Bernadette; Mantoulan, Carine; Wittemeyer, Kerstin; Poustka, Annemarie; Felder, Bärbel; Klauck, Sabine; Schuster, Claudia; Poustka, Fritz; Bölte, Sven; Feineis-Matthews, Sabine; Herbrecht, Evelyn; Schmötzer, Gabi; Tsiantis, John; Papanikolaou, Katerina; Maestrini, Elena; Bacchelli, Elena; Blasi, Francesca; Carone, Simona; Toma, Claudio; Van Engeland, Herman; De Jonge, Maretha; Kemner, Chantal; Koop, Frederieke; Langemeijer, Marjolein; Hijmans, Channa; Staal, Wouter; Baird, Gillian; Bolton, Patrick; Rutter, Michael; Weisblatt, Emma; Green, Jonathan; Aldred, Catherine; Wilkinson, Julie-Anne; Pickles, Andrew; Le Couteur, Ann; Berney, Tom; Mcconachie, Helen; Bailey, Anthony; Francis, Kostas; Honeyman, Gemma; Hutchinson, Aislinn; Parr, Jeremy; Wallace, Simon; Monaco, Anthony; Barnby, Gabrielle; Kobayashi, Kazuhiro; Lamb, Janine; Sousa, Ines; Sykes, Nuala; Cook, Edwin; Guter, Stephen; Leventhal, Bennett; Salt, Jeff; Lord, Catherine; Corsello, Christina; Hus, Vanessa; Weeks, Daniel; Volkmar, Fred; Tauber, Maïté; Fombonne, Eric; Shih, Andy; Meyer, Kacie

    2007-01-01

    Autism spectrum disorders (ASD) are common, heritable neurodevelopmental conditions. The genetic architecture of ASD is complex, requiring large samples to overcome heterogeneity. Here we broaden coverage and sample size relative to other studies of ASD by using Affymetrix 10K single nucleotide polymorphism (SNP) arrays and 1168 families with ≥ 2 affected individuals to perform the largest linkage scan to date, while also analyzing copy number variation (CNV) in these families. Linkage and CNV analyses implicate chromosome 11p12-p13 and neurexins, respectively, amongst other candidate loci. Neurexins team with previously-implicated neuroligins for glutamatergic synaptogenesis, highlighting glutamate-related genes as promising candidates for ASD. PMID:17322880

  20. Genetic polymorphisms of human UDP-glucuronosyltransferase (UGT) genes and cancer risk.

    PubMed

    Hu, Dong Gui; Mackenzie, Peter I; McKinnon, Ross A; Meech, Robyn

    2016-01-01

    Identification of genetic polymorphisms that contribute to the risk of developing cancers is important for cancer prevention. The most recent human genome GRCh38/hg38 assembly (2013) reveals thousands of genetic polymorphisms in human uridine diphosphoglucuronosyltransferase (UGT) genes. Among these, a large number of polymorphisms at the UGT1A and UGT2B genes have been shown to modulate UGT gene promoter activity or enzymatic activity. Glucuronidation plays an important role in the metabolism and clearance of endogenous and exogenous carcinogenic compounds, and this reaction is primarily catalyzed by the UGT1A and UGT2B enzymes. Therefore, it has long been hypothesized that UGT polymorphisms that reduce the capacity to glucuronidate carcinogens and other types of cancer-promoting molecules (e.g. sex hormones) are associated with an increased risk of developing cancers. A large number of case-control studies have investigated this hypothesis and these studies identified numerous UGT polymorphisms in UGT1A and UGT2B genes as genetic risk factors for a wide variety of cancers, including bladder, breast, colorectal, endometrial, esophageal, head and neck, liver, lung, prostate, and thyroid. These UGT polymorphisms may be cancer causative polymorphisms, or be linked to as yet undefined causative polymorphisms, either in UGT genes or neighboring genes. This article presents a comprehensive review of these case-control studies, discusses current areas of uncertainty, and highlights future research directions in this field. PMID:26828111

  1. Genetic risk factors and age-related macular degeneration (AMD)

    PubMed Central

    Mousavi, Maryam; Armstrong, Richard A.

    2013-01-01

    Age related macular degeneration (AMD) is the leading cause of blindness in individuals older than 65 years of age. It is a multifactorial disorder and identification of risk factors enables individuals to make lifestyle choices that may reduce the risk of disease. Collaboration between geneticists, ophthalmologists, and optometrists suggests that genetic risk factors play a more significant role in AMD than previously thought. The most important genes are associated with immune system modulation and the complement system, e.g., complement factor H (CFH), factor B (CFB), factor C3, and serpin peptidase inhibitor (SERPING1). Genes associated with membrane transport, e.g., ATP-binding cassette protein (ABCR) and voltage-dependent calcium channel gamma 3 (CACNG3), the vascular system, e.g., fibroblast growth factor 2 (FGF2), fibulin-5, lysyl oxidase-like gene (LOXL1) and selectin-P (SELP), and with lipid metabolism, e.g., apolipoprotein E (APOE) and hepatic lipase (LIPC) have also been implicated. In addition, several other genes exhibit some statistical association with AMD, e.g., age-related maculopathy susceptibility protein 2 (ARMS2) and DNA excision repair protein gene (ERCC6) but more research is needed to establish their significance. Modifiable risk factors for AMD should be discussed with patients whose lifestyle and/or family history place them in an increased risk category. Furthermore, calculation of AMD risk using current models should be recommended as a tool for patient education. It is likely that AMD management in future will be increasingly influenced by assessment of genetic risk as such screening methods become more widely available.

  2. Evaluation of a Genetic Risk Score to Improve Risk Prediction for Alzheimer’s Disease

    PubMed Central

    Chouraki, Vincent; Reitz, Christiane; Maury, Fleur; Bis, Joshua C.; Bellenguez, Celine; Yu, Lei; Jakobsdottir, Johanna; Mukherjee, Shubhabrata; Adams, Hieab H.; Choi, Seung Hoan; Larson, Eric B.; Fitzpatrick, Annette; Uitterlinden, Andre G.; de Jager, Philip L.; Hofman, Albert; Gudnason, Vilmundur; Vardarajan, Badri; Ibrahim-Verbaas, Carla; van der Lee, Sven J.; Lopez, Oscar; Dartigues, Jean-François; Berr, Claudine; Amouyel, Philippe; Bennett, David A.; van Duijn, Cornelia; DeStefano, Anita L.; Launer, Lenore J.; Ikram, M. Arfan; Crane, Paul K.; Lambert, Jean-Charles; Mayeux, Richard; Seshadri, Sudha

    2016-01-01

    Effective prevention of Alzheimer’s disease (AD) requires the development of risk prediction tools permitting preclinical intervention. We constructed a genetic risk score (GRS) comprising common genetic variants associated with AD, evaluated its association with incident AD and assessed its capacity to improve risk prediction over traditional models based on age, sex, education, and APOE ε4. In eight prospective cohorts included in the International Genomics of Alzheimer’s Project (IGAP), we derived weighted sum of risk alleles from the 19 top SNPs reported by the IGAP GWAS in participants aged 65 and older without prevalent dementia. Hazard ratios (HR) of incident AD were estimated in Cox models. Improvement in risk prediction was measured by the difference in C-index (Δ–C), the integrated discrimination improvement (IDI) and continuous net reclassification improvement (NRI>0). Overall, 19,687 participants at risk were included, of whom 2,782 developed AD. The GRS was associated with a 17% increase in AD risk (pooled HR = 1.17; 95%CI = [1.13–1.21] per standard deviation increase in GRS; p-value = 2.86 × 10−16). This association was stronger among persons with at least one APOE ε4 allele (HRGRS = 1.24; 95%CI = [1.15–1.34]) than in others (HRGRS = 1.13; 95%CI = [1.08–1.18]; pinteraction = 3.45 × 10−2). Risk prediction after seven years of follow-up showed a small improvement when adding the GRS to age, sex, APOE ε4, and education (Δ–Cindex = 0.0043 [0.0019–0.0067]). Similar patterns were observed for IDI and NRI>0. In conclusion, a risk score incorporating common genetic variation outside the APOE ε4 locus improved AD risk prediction and may facilitate risk stratification for prevention trials. PMID:27340842

  3. A comparison of genetic risk score with family history for estimating prostate cancer risk

    PubMed Central

    Helfand, Brian T

    2016-01-01

    Prostate cancer (PCa) testing is recommended by most authoritative groups for high-risk men including those with a family history of the disease. However, family history information is often limited by patient knowledge and clinician intake, and thus, many men are incorrectly assigned to different risk groups. Alternate methods to assess PCa risk are required. In this review, we discuss how genetic variants, referred to as PCa-risk single-nucleotide polymorphisms, can be used to calculate a genetic risk score (GRS). GRS assigns a relatively unique value to all men based on the number of PCa-risk SNPs that an individual carries. This GRS value can provide a more precise estimate of a man's PCa risk. This is particularly relevant in situations when an individual is unaware of his family history. In addition, GRS has utility and can provide a more precise estimate of risk even among men with a positive family history. It can even distinguish risk among relatives with the same degree of family relationships. Taken together, this review serves to provide support for the clinical utility of GRS as an independent test to provide supplemental information to family history. As such, GRS can serve as a platform to help guide-shared decision-making processes regarding the timing and frequency of PCa testing and biopsies. PMID:27004541

  4. Genetic risk factors for sclerotic graft-versus-host disease.

    PubMed

    Inamoto, Yoshihiro; Martin, Paul J; Flowers, Mary E D; Lee, Stephanie J; Carpenter, Paul A; Warren, Edus H; Geraghty, Daniel E; Lee, Ni; Boeckh, Michael J; Storer, Barry E; Levine, David M; Fan, Wenhong; Zhao, Lue-Ping; Hansen, John A

    2016-09-15

    Sclerotic graft-versus-host disease (GVHD) is a distinctive phenotype of chronic GVHD after allogeneic hematopoietic cell transplantation, characterized by fibrosis of skin or fascia. Sclerotic GVHD has clinical and histopathological similarities with systemic sclerosis, an autoimmune disease whose risk is influenced by genetic polymorphisms. We examined 13 candidate single-nucleotide polymorphisms (SNPs) that have a well-documented association with systemic sclerosis to determine whether these SNPs are also associated with the risk of sclerotic GVHD. The study cohort included 847 consecutive patients who were diagnosed with chronic GVHD. Genotyping was performed using microarrays, followed by imputation of unobserved SNPs. The donor rs10516487 (BANK1: B-cell scaffold protein with ankyrin repeats 1) TT genotype was associated with lower risk of sclerotic GVHD (hazard ratio [HR], 0.43; 95% confidence interval [CI], 0.21-0.87; P = .02). Donor and recipient rs2056626 (CD247: T-cell receptor ζ subunit) GG or GT genotypes were associated with higher risk of sclerotic GVHD (HR, 1.57; 95% CI, 1.13-2.18; P = .007 and HR, 1.66; 95% CI, 1.19-2.32; P = .003, respectively). Donor and recipient rs987870 (5'-flanking region of HLA-DPA1) CC genotypes were associated with higher risk of sclerotic GVHD (HR, 2.50; 95% CI, 1.22-5.11; P = .01 and HR, 2.13; 95% CI, 1.00-4.54; P = .05, respectively). In further analyses, the recipient DPA1*01:03∼DPB1*04:01 haplotype and certain amino acid substitutions in the recipient P1 peptide-binding pocket of the HLA-DP heterodimer were associated with risk of sclerotic GVHD. Genetic components associated with systemic sclerosis are also associated with sclerotic GVHD. HLA-DP-mediated antigen presentation, T-cell response, and B-cell activation have important roles in the pathogenic mechanisms of both diseases. PMID:27313329

  5. Convergent synaptic and circuit substrates underlying autism genetic risks

    PubMed Central

    McGee, Aaron; Li, Guohui; Lu, Zhongming; Qiu, Shenfeng

    2014-01-01

    There has been a surge of diagnosis of autism spectrum disorders (ASD) over the past decade. While large, high powered genome screening studies of children with ASD have identified numerous genetic risk factors, research efforts to understanding how each of these risk factors contributes to the development autism has met with limited success. Revealing the mechanisms by which these genetic risk factors affect brain development and predispose a child to autism requires mechanistic understanding of the neurobiological changes underlying this devastating group of developmental disorders at multifaceted molecular, cellular and system levels. It has been increasingly clear that the normal trajectory of neurodevelopment is compromised in autism, in multiple domains as much as aberrant neuronal production, growth, functional maturation, patterned connectivity, and balanced excitation and inhibition of brain networks. Many autism risk factors identified in humans have been now reconstituted in experimental mouse models to allow mechanistic interrogation of the biological role of the risk gene. Studies utilizing these mouse models have revealed that underlying the enormous heterogeneity of perturbed cellular events, mechanisms directing synaptic and circuit assembly may provide a unifying explanation for the pathophysiological changes and behavioral endophenotypes seen in autism, although synaptic perturbations are far from being the only alterations relevant for ASD. In this review, we discuss synaptic and circuit abnormalities obtained from several prevalent mouse models, particularly those reflecting syndromic forms of ASD that are caused by single gene perturbations. These compiled results reveal that ASD risk genes contribute to proper signaling of the developing gene networks that maintain synaptic and circuit homeostasis, which is fundamental to normal brain development. PMID:24999357

  6. Novel genetic predictors of venous thromboembolism risk in African Americans

    PubMed Central

    Hernandez, Wenndy; Gamazon, Eric R.; Smithberger, Erin; O’Brien, Travis J.; Harralson, Arthur F.; Tuck, Matthew; Barbour, April; Kittles, Rick A.; Cavallari, Larisa H.

    2016-01-01

    Venous thromboembolism (VTE) is the third most common life-threatening cardiovascular condition in the United States, with African Americans (AAs) having a 30% to 60% higher incidence compared with other ethnicities. The mechanisms underlying population differences in the risk of VTE are poorly understood. We conducted the first genome-wide association study in AAs, comprising 578 subjects, followed by replication of highly significant findings in an independent cohort of 159 AA subjects. Logistic regression was used to estimate the association between genetic variants and VTE risk. Through bioinformatics analysis of the top signals, we identified expression quantitative trait loci (eQTLs) in whole blood and investigated the messenger RNA expression differences in VTE cases and controls. We identified and replicated single-nucleotide polymorphisms on chromosome 20 (rs2144940, rs2567617, and rs1998081) that increased risk of VTE by 2.3-fold (P < 6 × 10−7). These risk variants were found in higher frequency among populations of African descent (>20%) compared with other ethnic groups (<10%). We demonstrate that SNPs on chromosome 20 are cis-eQTLs for thrombomodulin (THBD), and the expression of THBD is lower among VTE cases compared with controls (P = 9.87 × 10−6). We have identified novel polymorphisms associated with increased risk of VTE in AAs. These polymorphisms are predominantly found among populations of African descent and are associated with THBD gene expression. Our findings provide new molecular insight into a mechanism regulating VTE susceptibility and identify common genetic variants that increase the risk of VTE in AAs, a population disproportionately affected by this disease. PMID:26888256

  7. Disclosing Pleiotropic Effects during Genetic Risk Assessment for Alzheimer’s Disease: A Randomized, Controlled Trial

    PubMed Central

    Christensen, Kurt D.; Roberts, J. Scott; Whitehouse, Peter J.; Royal, Charmaine D. M.; Obisesan, Thomas O.; Cupples, L. Adrienne; Vernarelli, Jacqueline A.; Bhatt, Deepak L.; Linnenbringer, Erin; Butson, Melissa B.; Fasaye, Grace-Ann; Uhlmann, Wendy R.; Hiraki, Susan; Wang, Na; Cook-Deegan, Robert; Green, Robert C.

    2016-01-01

    Background Increasing use of genetic testing raises questions about disclosing secondary findings, including pleiotropic information. Objective To determine the safety and behavioral impact of disclosing modest associations between APOE genotype and coronary artery disease (CAD) risk during APOE-based genetic risk assessments for Alzheimer’s disease (AD). Design Randomized, multicenter equivalence clinical trial Setting Four teaching hospitals Participants 257 asymptomatic adults enrolled, 69% with one AD-affected first degree relative Intervention Disclosing AD and CAD genetic risk information (AD+CAD) versus disclosing only AD genetic risk (AD-only) Measurements Co-primary outcomes were Beck Anxiety Index (BAI) and Center for Epidemiologic Studies Depression Scale (CES-D) scores at 12 months. Secondary outcomes included test-related distress at 12 months, all measures at 6 weeks and 6 months, and health behavior changes at 12 months. Results 12 months after disclosure, mean BAI scores were 3.5 and 3.5 in AD-only and AD+CAD arms (Δ=0.0, 95%CI: −1.0 to 1.0), and mean CES-D scores were 6.4 and 7.1 in AD-only and AD+CAD arms (Δ=0.7, 95%CI: −1.0 to 2.4). Both confidence bounds fell within the equivalence margin of +/−5 points. Among ε4-positive participants, distress was lower in AD+CAD arms than AD-only arms (Δ=−4.8, 95%CI: −8.6 to −1.0) (p=0.031 for disclosure arm x APOE genotype). AD+CAD participants also reported more health behavior changes, regardless of APOE genotype. Limitations Outcomes were self-reported from volunteers without severe anxiety, severe depression, or cognitive problems. Analyses omitted 33 randomized participants. Conclusion Disclosing pleiotropic information did not increase anxiety or depression, and may have decreased distress among those at increased risk for two conditions. Providing risk modification information regarding CAD improved health behaviors. Findings highlight potential benefits of secondary genetic findings

  8. N-acetyltransferase 2 genetic polymorphism: Effects of carcinogen and haplotype on urinary bladder cancer risk

    PubMed Central

    Hein, David W.

    2006-01-01

    A role for the N-acetyltransferase 2 (NAT2) genetic polymorphism in cancer risk has been the subject of numerous studies. Although comprehensive reviews of the NAT2 acetylation polymorphism have been published elsewhere, the objective of this paper is to briefly highlight some important features of the NAT2 acetylation polymorphism that are not universally accepted to better understand the role of NAT2 polymorphism in carcinogenic risk assessment. NAT2 slow acetylator phenotype(s) infer a consistent and robust increase in urinary bladder cancer risk following exposures to aromatic amine carcinogens. However, identification of specific carcinogens is important as the effect of NAT2 polymorphism on urinary bladder cancer differs dramatically between monoarylamines and aryldiamines. Misclassifications of carcinogen exposure and NAT2 genotype/phenotype confound evidence for a real biological effect. Functional understanding of the effects of NAT2 genetic polymorphisms on metabolism and genotoxicity, tissue-specific expression and the elucidation of the molecular mechanisms responsible are critical for interpretation of previous and future human molecular epidemiology investigations into the role of NAT2 polymorphism on cancer risk. Although associations have been reported for various cancers, this paper focuses on urinary bladder cancer, a cancer in which a role for NAT2 polymorphism was first proposed and for which evidence is accumulating that the effect is biologically significant with important public health implications. PMID:16550165

  9. Association between OPN genetic variations and nephrolithiasis risk

    PubMed Central

    Xiao, Xu; Dong, Zhenjia; Ye, Xianqing; Yan, Yao; Chen, Xuehua; Pan, Qin; Xie, Yongfeng; Xie, Jie; Wang, Qiangdong; Yuan, Qinbo

    2016-01-01

    Osteopontin (OPN) has an important role in urolithiasis. However, few studies have explored the association between OPN genetic variants and urolithiasis risk. In the present study, three single-nucleotide polymorphisms (SNPs) (rs28357094, rs11439060 and rs11730582) located on the promoter of OPN were genotyped in a total of 480 individuals, including 230 nephrolithiasis patients and 250 matched healthy controls, and the associations between these SNPs and nephrolithiasis risk in different genetic models was assessed. No significant differences were identified in the genotype and allele frequencies of OPN rs28357094 or rs11730582 (P=0.805 for rs28357094; P=0.577 for rs11730582, respectively). However, carriers with the OPN rs11439060 insertion (ins) types (ins/deletion and ins/ins) were overrepresented in urolithiasis patients compared with the controls [odds ratio (OR), 1.55; 95% confidence interval (CI), 1.08–2.22]. In the stratified analysis, the increased risk was more evident among younger subjects (adjusted OR, 1.68; 95% CI, 1.01–2.81), females (2.15; 1.14–4.08), overweight subjects (1.80; 1.07–3.05), normotensive subjects (2.48; 1.02–6.00), abnormal blood sugar subjects (1.58; 1.08–2.30), smokers (1.63; 1.02–2.60), and ever-drinkers (1.98; 1.10–3.60).. These findings revealed that the OPN rs11439060 polymorphism may act as genetic biomarker for the detection of high-risk nephrolithiasis patients. PMID:27602211

  10. Association between OPN genetic variations and nephrolithiasis risk

    PubMed Central

    Xiao, Xu; Dong, Zhenjia; Ye, Xianqing; Yan, Yao; Chen, Xuehua; Pan, Qin; Xie, Yongfeng; Xie, Jie; Wang, Qiangdong; Yuan, Qinbo

    2016-01-01

    Osteopontin (OPN) has an important role in urolithiasis. However, few studies have explored the association between OPN genetic variants and urolithiasis risk. In the present study, three single-nucleotide polymorphisms (SNPs) (rs28357094, rs11439060 and rs11730582) located on the promoter of OPN were genotyped in a total of 480 individuals, including 230 nephrolithiasis patients and 250 matched healthy controls, and the associations between these SNPs and nephrolithiasis risk in different genetic models was assessed. No significant differences were identified in the genotype and allele frequencies of OPN rs28357094 or rs11730582 (P=0.805 for rs28357094; P=0.577 for rs11730582, respectively). However, carriers with the OPN rs11439060 insertion (ins) types (ins/deletion and ins/ins) were overrepresented in urolithiasis patients compared with the controls [odds ratio (OR), 1.55; 95% confidence interval (CI), 1.08–2.22]. In the stratified analysis, the increased risk was more evident among younger subjects (adjusted OR, 1.68; 95% CI, 1.01–2.81), females (2.15; 1.14–4.08), overweight subjects (1.80; 1.07–3.05), normotensive subjects (2.48; 1.02–6.00), abnormal blood sugar subjects (1.58; 1.08–2.30), smokers (1.63; 1.02–2.60), and ever-drinkers (1.98; 1.10–3.60).. These findings revealed that the OPN rs11439060 polymorphism may act as genetic biomarker for the detection of high-risk nephrolithiasis patients.

  11. Benefits and risks associated with genetically modified food products.

    PubMed

    Kramkowska, Marta; Grzelak, Teresa; Czyżewska, Krystyna

    2013-01-01

    Scientists employing methods of genetic engineering have developed a new group of living organisms, termed 'modified organisms', which found application in, among others, medicine, the pharmaceutical industry and food distribution. The introduction of transgenic products to the food market resulted in them becoming a controversial topic, with their proponents and contestants. The presented study aims to systematize objective data on the potential benefits and risks resulting from the consumption of transgenic food. Genetic modifications of plants and animals are justified by the potential for improvement of the food situation worldwide, an increase in yield crops, an increase in the nutritional value of food, and the development of pharmaceutical preparations of proven clinical significance. In the opinions of critics, however, transgenic food may unfavourably affect the health of consumers. Therefore, particular attention was devoted to the short- and long-lasting undesirable effects, such as alimentary allergies, synthesis of toxic agents or resistance to antibiotics. Examples arguing for the justified character of genetic modifications and cases proving that their use can be dangerous are innumerable. In view of the presented facts, however, complex studies are indispensable which, in a reliable way, evaluate effects linked to the consumption of food produced with the application of genetic engineering techniques. Whether one backs up or negates transgenic products, the choice between traditional and non-conventional food remains to be decided exclusively by the consumers.

  12. Potential Genetic Risk Factors for Chronic TMD: Genetic Associations from the OPPERA Case Control Study

    PubMed Central

    Smith, Shad B.; Maixner, Dylan; Greenspan, Joel; Dubner, Ron; Fillingim, Roger; Ohrbach, Richard; Knott, Charles; Slade, Gary; Bair, Eric; Gibson, Dustin G.; Zaykin, Dmitri V.; Weir, Bruce; Maixner, William; Diatchenko, Luda

    2011-01-01

    Genetic factors play a role in the etiology of persistent pain conditions, putatively by modulating underlying processes such as nociceptive sensitivity, psychological well-being, inflammation, and autonomic response. However, to date, only a few genes have been associated with temporomandibular disorders (TMD). This study evaluated 358 genes involved in pain processes, comparing allelic frequencies between 166 cases with chronic TMD and 1442 controls enrolled in the OPPERA (Orofacial Pain: Prospective Evaluation and Risk Assessment) study cooperative agreement. To enhance statistical power, 182 TMD cases and 170 controls from a similar study were included in the analysis. Genotyping was performed using the Pain Research Panel, an Affymetrix gene chip representing 3295 single nucleotide polymorphisms, including ancestry-informative markers that were used to adjust for population stratification. Adjusted associations between genetic markers and TMD case status were evaluated using logistic regression. The OPPERA findings provided evidence supporting previously-reported associations between TMD and two genes: HTR2A and COMT. Other genes were revealed as potential new genetic risk factors for TMD, including NR3C1, CAMK4, CHRM2, IFRD1, and GRK5. While these findings need to be replicated in independent cohorts, the genes potentially represent important markers of risk for TMD and they identify potential targets for therapeutic intervention. PMID:22074755

  13. Human Papillomavirus 45 Genetic Variation and Cervical Cancer Risk Worldwide

    PubMed Central

    Chen, Alyce A.; Heideman, Daniëlle A. M.; Boon, Debby; Gheit, Tarik; Snijders, Peter J. F.; Tommasino, Massimo; Franceschi, Silvia

    2014-01-01

    ABSTRACT Human papillomavirus 45 (HPV45) is a member of the HPV18-related alpha-7 species and accounts for approximately 5% of all cervical cancer cases worldwide. This study evaluated the genetic diversity of HPV45 and the association of HPV45 variants with the risk of cervical cancer by sequencing the entire E6 and E7 open reading frames of 300 HPV45-positive cervical samples from 36 countries. A total of 43 HPV45 sequence variants were identified that formed 5 phylogenetic sublineages, A1, A2, A3, B1, and B2, the distribution of which varied by geographical region. Among 192 cases of cervical cancer and 101 controls, the B2 sublineage was significantly overrepresented in cervical cancer, both overall and in Africa and Europe separately. We show that the sequence analysis of E6 and E7 allows the classification of HPV45 variants and that the risk of cervical cancer may differ by HPV45 variant sublineage. IMPORTANCE This work describes the largest study to date of human papillomavirus 45 (HPV45)-positive cervical samples and provides a comprehensive reference for phylogenetic classification for use in epidemiological studies of the carcinogenicity of HPV45 genetic variants, particularly as our findings suggest that the B2 sublineage of HPV45 is associated with a higher risk of cervical cancer. PMID:24501412

  14. Disparities and genetic risk factors in obstructive sleep apnea.

    PubMed

    Dudley, Katherine A; Patel, Sanjay R

    2016-02-01

    Obstructive sleep apnea (OSA) is an increasingly prevalent condition. A growing body of literature supports substantial racial disparities in the prevalence, risk factors, presentation, diagnosis, and treatment of this disease. Craniofacial structure among Asians appears to confer an elevated risk of OSA despite lower rates of obesity. Among African Americans, Native Americans, and Hispanics, OSA prevalence is increased, likely due in part to obesity. The burden of symptoms, particularly excessive daytime sleepiness, is higher among African Americans, although Hispanics more often report snoring. Limited data suggest that African Americans may be more susceptible to hypertension in the setting of OSA. While differences in genetic risk factors may explain disparities in OSA burden, no definitive genetic differences have yet been identified. In addition to disparities in OSA development, disparities in OSA diagnosis and treatment have also been identified. Increased severity of disease at diagnosis among African Americans suggests a delay in diagnosis. Treatment outcomes are also suboptimal among African Americans. In children, tonsillectomy is less likely to cure OSA and more commonly associated with complications in this group. Among adults, adherence to continuous positive airway pressure (CPAP) is substantially lower in African Americans. The reasons for these disparities, particularly in outcomes, are not well understood and should be a research priority. PMID:26428843

  15. A developmental behavior-genetic perspective on alcoholism risk.

    PubMed

    Rose, R J

    1998-01-01

    Although behavioral problems associated with abuse of alcohol emerge during late adolescence and adulthood, some behavioral characteristics indicative of an increased risk of alcoholism may already be obvious during early childhood. Studies in several countries have demonstrated that children with high levels of novelty-seeking behavior and low levels of harm-avoidance behavior are more likely to develop alcohol-related problems during adolescence. Moreover, as early as age 3, children at high risk of future alcoholism because of a family history are more active, more impatient, and more aggressive than matched controls of low-risk children. Causal influences on the initiation of drinking must be distinguished from those that affect patterns of consumption once drinking is initiated. Studies of adolescent twins have demonstrated that initiation of drinking is primarily influenced by the drinking status of parents, siblings, and friends and by socioregional differences in the environments within which adolescent twins reside. The influence of genetic factors is negligible. Conversely, once initiated, differences in frequency and quantity of drinking are strongly influenced by genetic factors. However, these influences, too, are modulated by sibling and peer effects and by regional environmental variation.

  16. Inherited genetic variants associated with childhood acute lymphoblastic leukemia risk.

    PubMed

    Takagi, Masatoshi; Urayama, Kevin

    2016-07-01

    Numerous efforts have been made to elucidate the roles of individual genetic background factors in the risk of childhood acute lymphoblastic leukemia. Most have taken the form of case-control studies focusing on specific candidate gene polymorphisms. Recently, a more rigorous and comprehensive approach referred to as a genome-wide association study (GWAS) has been widely utilized and has achieved success. Case-control studies evaluating candidate gene associations have shown cumulative evidence of a role for folate metabolism and xenobiotic metabolism/transport pathway genetic variants. In addition, single nucleotide polymorphism (SNP)s identified by GWAS appear to indicate a strong role for genes encoding transcription factors involved in cellular differentiation. Further studies are needed to clarify the accumulating evidence obtained from both candidate gene and genome-wide investigations. PMID:27498736

  17. Genetic risk factors and Mendelian randomization in cardiovascular disease.

    PubMed

    Swerdlow, Daniel I; Hingorani, Aroon D; Humphries, Steve E

    2015-05-01

    Cardiovascular disease encompasses several diverse pathological states that place a heavy burden on individual and population health. The aetiological basis of many cardiovascular disorders is not fully understood. Growing knowledge of the genetic architecture underlying coronary heart disease, stroke, cardiac arrhythmias and peripheral vascular disease has confirmed some suspected causal pathways in these conditions but also uncovered many previously unknown mechanisms. Here, we consider the contribution of genetics to the understanding of cardiovascular disease risk. We evaluate the utility and relevance of findings from genome-wide association studies and explore the role that Mendelian randomisation has to play in exploiting these. Mendelian randomisation permits robust causal inference in an area of research where this has been hampered by bias and confounding in observational studies. In doing so, it provides evidence for causal processes in cardiovascular disease that could represent novel targets for much-needed new drugs for disease prevention and treatment. PMID:25894797

  18. [The application of genetic risk score in genetic studies of complex human diseases].

    PubMed

    Dayan, Niu; Weili, Yan

    2015-12-01

    Complex diseases such as cardiovascular disease, type 2 diabetes, essential hypertension, asthma, obesity and cancer have spread across the globe and become the predominant cause of death. There are growing concerns over the role of genetic susceptibility in pathogenesis of complex diseases. However, the related susceptibility genes and sequence variations are still unknown. To elucidate the genetic basis of complex diseases, researchers have identified a large number of genetic variants associated with complex diseases through genome-wide association studies (GWAS) and candidate gene studies recently. The identification of these causal and/or associated variants promotes the development of approaches for complex diseases prediction and prevention. Genetic risk score (GRS), an emerging method for exploring correlation between single nucleotide polymorphisms (SNPs) and clinical phenotypes of complex diseases, integrates weak effects of multiple SNPs and dramatically enhances predictability of complex diseases by gene polymorphisms. This method has been applied successfully in genetic studies of many complex diseases. Here we focus on the introduction of the computational methods and evaluation criteria of GRS, enumerate a series of achievements through GRS application, discuss some limitations during application, and finally prospect the future of GRS.

  19. Cancer Genetics Risk Assessment and Counseling (PDQ®)—Health Professional Version

    Cancer.gov

    Expert-reviewed information summary in which cancer risk perception, risk communication, and risk counseling are discussed. The summary also contains information about recording and analyzing a family history of cancer and factors to consider when offering genetic testing.

  20. Development and Evaluation of a Genetic Risk Score for Obesity

    PubMed Central

    Belsky, Daniel W.; Moffitt, Terrie E.; Sugden, Karen; Williams, Benjamin; Houts, Renate; McCarthy, Jeanette; Caspi, Avshalom

    2013-01-01

    Background Results from genome-wide association studies (GWAS) represent a potential resource for etiological and treatment research. GWAS of obesity-related phenotypes have been especially successful. To translate this success into a research tool, we developed and tested a “genetic risk score” (GRS) that summarizes an individual’s genetic predisposition to obesity. Methods Different GWAS of obesity-related phenotypes report different sets of single nucleotide polymorphisms (SNPs) as the best genomic markers of obesity risk. Therefore, we applied a 3-stage approach that pooled results from multiple GWAS to select SNPs to include in our GRS: The 3 stages are (1) Extraction. SNPs with evidence of association are compiled from published GWAS; (2) Clustering. SNPs are grouped according to patterns of linkage disequilibrium; (3) Selection. Tag SNPs are selected from clusters that meet specific criteria. We applied this 3-stage approach to results from 16 GWAS of obesity-related phenotypes in European-descent samples to create a GRS. We then tested the GRS in the Atherosclerosis Risk in the Communities (ARIC) Study cohort (N=10,745, 55% female, 77% white, 23% African American). Results Our 32-locus GRS was a statistically significant predictor of body mass index (BMI) and obesity among ARIC whites (for BMI, r=0.13, p<1×10−30; for obesity, area under the receiver operating characteristic curve (AUC)=0.57 [95% CI 0.55–0.58]). The GRS improved prediction of obesity (as measured by delta-AUC and integrated discrimination index) when added to models that included demographic and geographic information. FTO- and MC4R-linked SNPs, and a non-genetic risk assessment consisting of a socioeconomic index (p<0.01 for all comparisons). The GRS also predicted increased mortality risk over 17 years of follow-up. The GRS performed less well among African Americans. Conclusions The obesity GRS derived using our 3-stage approach is not useful for clinical risk prediction, but

  1. Lack of replication of higher genetic risk load in men than in women with systemic lupus erythematosus

    PubMed Central

    2014-01-01

    Introduction We aimed to replicate a recent study which showed higher genetic risk load at 15 loci in men than in women with systemic lupus erythematosus (SLE). This difference was very significant, and it was interpreted as indicating that men require more genetic susceptibility than women to develop SLE. Methods Nineteen SLE-associated loci (thirteen of which are shared with the previous study) were analyzed in 1,457 SLE patients and 1,728 healthy controls of European ancestry. Genetic risk load was calculated as sex-specific sum genetic risk scores (GRSs). Results Our results did not replicate those of the previous study at either the level of individual loci or the global level of GRSs. GRSs were larger in women than in men (4.20 ± 1.07 in women vs. 3.27 ± 0.98 in men). This very significant difference (P < 10−16) was more dependent on the six new loci not included in the previous study (59% of the difference) than on the thirteen loci that are shared (the remaining 41%). However, the 13 shared loci also showed a higher genetic risk load in women than in men in our study (P = 6.6 × 10−7), suggesting that heterogeneity of participants, in addition to different loci, contributed to the opposite results. Conclusion Our results show the lack of a clear trend toward higher genetic risk in one of the sexes for the analyzed SLE loci. They also highlight several limitations of assessments of genetic risk load, including the possibility of ascertainment bias with loci discovered in studies that have included mainly women. PMID:24946689

  2. Preimplantation genetic diagnosis and rational choice under risk or uncertainty.

    PubMed

    Zuradzki, Tomasz

    2014-11-01

    In this paper I present an argument in favour of a parental duty to use preimplantation genetic diagnosis (PGD). I argue that if embryos created in vitro were able to decide for themselves in a rational manner, they would sometimes choose PGD as a method of selection. Couples, therefore, should respect their hypothetical choices on a principle similar to that of patient autonomy. My thesis shows that no matter which moral doctrine couples subscribe to, they ought to conduct the PGD procedure in the situations when it is impossible to implant all of the created embryos and if there is a significant risk for giving birth to a child with a serious condition.

  3. Geoepidemiology, Genetic and Environmental Risk Factors for PBC.

    PubMed

    Zhang, Haiyan; Carbone, Marco; Lleo, Ana; Invernizzi, Pietro

    2015-01-01

    Primary biliary cirrhosis (PBC) is the most paradigmatic autoimmune liver disease with still several controversial issues in epidemiology, diagnosis, causation, and therapy. Although we are witnessing an enormous increase in the quantum of our basic knowledge of the disease with an initial translation in clinical practice, there are still a number of key open questions in PBC. Among them are the following questions: Why are there vast geographical variations in disease frequency? What are the reasons for female preponderance? Why do only small-size bile ducts get affected: What is the real role of genetics and epigenetics in its development? In particular, the prevalence of PBC is known to vary both on an international and a regional level, suggesting the existence of substantive geographical differences in terms of genetic susceptibility and environmental factors. New theories on potential environmental triggers, such as chemical xenobiotics, which lead to the breaking of self-tolerance within a unique immunological milieu of the liver, have been suggested. On the other hand, new and solid data on the genetic architecture of PBC are now obtained from recent high-throughput studies, together with data on sex chromosomes defects, and epigenetic abnormalities, thus strongly suggesting a role of genetic and epigenetic factors in the triggering and perpetuation of the autoimmune aggression in PBC. Based on these evidences, a number of novel drugs directed against specific immune-related molecules are currently under development. In this paper, we review a comprehensive collection of current epidemiological reports from various world regions. We also discuss here the most recent data regarding candidate genetic and environmental risk factors for PBC.

  4. Multiple Metabolic Genetic Risk Scores and Type 2 Diabetes Risk in Three Racial/Ethnic Groups

    PubMed Central

    Wineinger, Nathan E.; Vazquez, Ana I.; de los Campos, Gustavo

    2014-01-01

    Context/Rationale: Meta-analyses of genome-wide association studies have identified many single-nucleotide polymorphisms associated with various metabolic and cardiovascular traits, offering us the opportunity to learn about and capitalize on the links between cardiometabolic traits and type 2 diabetes (T2D). Design: In multiple datasets comprising over 30 000 individuals and 3 ethnic/racial groups, we calculated 17 genetic risk scores (GRSs) for glycemic, anthropometric, lipid, hemodynamic, and other traits, based on the results of recent trait-specific meta-analyses of genome-wide association studies, and examined associations with T2D risk. Using a training-testing procedure, we evaluated whether additional GRSs could contribute to risk prediction. Results: In European Americans, we find that GRSs for T2D, fasting glucose, fasting insulin, and body mass index are associated with T2D risk. In African Americans, GRSs for T2D, fasting insulin, and waist-to-hip ratio are associated with T2D. In Hispanic Americans, GRSs for T2D and body mass index are associated with T2D. We observed a trend among European Americans suggesting that genetic risk for hyperlipidemia is inversely associated with T2D risk. The use of additional GRSs resulted in only small changes in prediction accuracy in multiple independent validation datasets. Conclusions: The analysis of multiple GRSs can shed light on T2D etiology and how it varies across ethnic/racial groups. Our findings using multiple GRSs are consistent with what is known about the differences in T2D pathogenesis across racial/ethnic groups. However, further work is needed to understand the putative inverse correlation of genetic risk for hyperlipidemia and T2D risk and to develop ethnic-specific GRSs. PMID:24905067

  5. Genetic Determinants of Cardio-Metabolic Risk: A Proposed Model for Phenotype Association and Interaction

    PubMed Central

    Blackett, Piers R; Sanghera, Dharambir K

    2012-01-01

    This review provides a translational and unifying summary of metabolic syndrome genetics and highlights evidence that genetic studies are starting to unravel and untangle origins of the complex and challenging cluster of disease phenotypes. The associated genes effectively express in the brain, liver, kidney, arterial endothelium, adipocytes, myocytes and β cells. Progression of syndrome traits has been associated with ectopic lipid accumulation in the arterial wall, visceral adipocytes, myocytes, and liver. Thus it follows that the genetics of dyslipidemia, obesity, and non-alcoholic fatty liver (NAFLD) disease are central in triggering progression of the syndrome to overt expression of disease traits, and have become a key focus of interest for early detection and for designing prevention and treatments. To support the “birds’ eye view” approach we provide a road-map depicting commonality and interrelationships between the traits and their genetic and environmental determinants based on known risk factors, metabolic pathways, pharmacological targets, treatment responses, gene networks, pleiotropy, and association with circadian rhythm. Although only a small portion of the known heritability is accounted for and there is insufficient support for clinical application of gene-based prediction models, there is direction and encouraging progress in a rapidly moving field that is beginning to show clinical relevance. PMID:23351585

  6. Genetic determinants of cardiometabolic risk: a proposed model for phenotype association and interaction.

    PubMed

    Blackett, Piers R; Sanghera, Dharambir K

    2013-01-01

    This review provides a translational and unifying summary of metabolic syndrome genetics and highlights evidence that genetic studies are starting to unravel and untangle origins of the complex and challenging cluster of disease phenotypes. The associated genes effectively express in the brain, liver, kidney, arterial endothelium, adipocytes, myocytes, and β cells. Progression of syndrome traits has been associated with ectopic lipid accumulation in the arterial wall, visceral adipocytes, myocytes, and liver. Thus, it follows that the genetics of dyslipidemia, obesity, and nonalcoholic fatty liver disease are central in triggering progression of the syndrome to overt expression of disease traits and have become a key focus of interest for early detection and for designing prevention and treatments. To support the "birds' eye view" approach, we provide a road-map depicting commonality and interrelationships between the traits and their genetic and environmental determinants based on known risk factors, metabolic pathways, pharmacologic targets, treatment responses, gene networks, pleiotropy, and association with circadian rhythm. Although only a small portion of the known heritability is accounted for and there is insufficient support for clinical application of gene-based prediction models, there is direction and encouraging progress in a rapidly moving field that is beginning to show clinical relevance.

  7. Risk assessment of genetically modified crops for nutrition and health.

    PubMed

    Magaña-Gómez, Javier A; de la Barca, Ana M Calderón

    2009-01-01

    The risk assessment of genetically modified (GM) crops for human nutrition and health has not been systematic. Evaluations for each GM crop or trait have been conducted using different feeding periods, animal models, and parameters. The most common result is that GM and conventional sources induce similar nutritional performance and growth in animals. However, adverse microscopic and molecular effects of some GM foods in different organs or tissues have been reported. Diversity among the methods and results of the risk assessments reflects the complexity of the subject. While there are currently no standardized methods to evaluate the safety of GM foods, attempts towards harmonization are on the way. More scientific effort is necessary in order to build confidence in the evaluation and acceptance of GM foods. PMID:19146501

  8. Risk assessment of genetically modified crops for nutrition and health.

    PubMed

    Magaña-Gómez, Javier A; de la Barca, Ana M Calderón

    2009-01-01

    The risk assessment of genetically modified (GM) crops for human nutrition and health has not been systematic. Evaluations for each GM crop or trait have been conducted using different feeding periods, animal models, and parameters. The most common result is that GM and conventional sources induce similar nutritional performance and growth in animals. However, adverse microscopic and molecular effects of some GM foods in different organs or tissues have been reported. Diversity among the methods and results of the risk assessments reflects the complexity of the subject. While there are currently no standardized methods to evaluate the safety of GM foods, attempts towards harmonization are on the way. More scientific effort is necessary in order to build confidence in the evaluation and acceptance of GM foods.

  9. Common genetic risk factors of venous thromboembolism in Western and Asian populations.

    PubMed

    Huang, S S; Liu, Y; Jing, Z C; Wang, X J; Mao, Y M

    2016-03-04

    Venous thromboembolism (VTE) is a multifactorial disorder involving both acquired and genetic risk factors. The common genetic factors in Western populations have been studied and reported for several decades, while studies on Asian populations are relatively scarce. Evidence suggests that the prevalence and genetic risk factors of VTE vary significantly among ethnic populations. In this review, we summarize the common genetic risk factors of VTE in both Western and Asian populations. In addition to the development of DNA sequencing technology, genome-wide association studies have many advantages and are becoming more important in identifying new genetic risk factors and susceptible loci. They can therefore help in the prediction and prevention of VTE.

  10. Structured Parenting of Toddlers at High versus Low Genetic Risk: Two Pathways to Child Problems

    ERIC Educational Resources Information Center

    Leve, Leslie D.; Harold, Gordon T.; Ge, Xiaojia; Neiderhiser, Jenae M.; Shaw, Daniel; Scaramella, Laura V.; Reiss, David

    2009-01-01

    Objective: Little is known about how parenting might offset genetic risk to prevent the onset of child problems during toddlerhood. We used a prospective adoption design to separate genetic and environmental influences and test whether associations between structured parenting and toddler behavior problems were conditioned by genetic risk for…

  11. Epistatic interaction of genetic depression risk variants in the human subgenual cingulate cortex during memory encoding

    PubMed Central

    Schott, B H; Assmann, A; Schmierer, P; Soch, J; Erk, S; Garbusow, M; Mohnke, S; Pöhland, L; Romanczuk-Seiferth, N; Barman, A; Wüstenberg, T; Haddad, L; Grimm, O; Witt, S; Richter, S; Klein, M; Schütze, H; Mühleisen, T W; Cichon, S; Rietschel, M; Noethen, M M; Tost, H; Gundelfinger, E D; Düzel, E; Heinz, A; Meyer-Lindenberg, A; Seidenbecher, C I; Walter, H

    2014-01-01

    Recent genome-wide association studies have pointed to single-nucleotide polymorphisms (SNPs) in genes encoding the neuronal calcium channel CaV1.2 (CACNA1C; rs1006737) and the presynaptic active zone protein Piccolo (PCLO; rs2522833) as risk factors for affective disorders, particularly major depression. Previous neuroimaging studies of depression-related endophenotypes have highlighted the role of the subgenual cingulate cortex (CG25) in negative mood and depressive psychopathology. Here, we aimed to assess how recently associated PCLO and CACNA1C depression risk alleles jointly affect memory-related CG25 activity as an intermediate phenotype in clinically healthy humans. To investigate the combined effects of rs1006737 and rs2522833 on the CG25 response, we conducted three functional magnetic resonance imaging studies of episodic memory formation in three independent cohorts (N=79, 300, 113). An epistatic interaction of PCLO and CACNA1C risk alleles in CG25 during memory encoding was observed in all groups, with carriers of no risk allele and of both risk alleles showing higher CG25 activation during encoding when compared with carriers of only one risk allele. Moreover, PCLO risk allele carriers showed lower memory performance and reduced encoding-related hippocampal activation. In summary, our results point to region-specific epistatic effects of PCLO and CACNA1C risk variants in CG25, potentially related to episodic memory. Our data further suggest that genetic risk factors on the SNP level do not necessarily have additive effects but may show complex interactions. Such epistatic interactions might contribute to the ‘missing heritability' of complex phenotypes. PMID:24643163

  12. Analysis of genetics and risk factors of Alzheimer's Disease.

    PubMed

    Panpalli Ates, M; Karaman, Y; Guntekin, S; Ergun, M A

    2016-06-14

    Alzheimer's Disease is the leading neurodegenerative cause of dementia. The pathogenesis is not clearly understood yet, is believed to be the complex interaction between genetic and environmental factors. Consequently vascular risk factors and Apolipoprotein E genotyping are increasingly gaining importance. This study aimed at assessing the relationships between Alzheimer's Disease and Apolipoprotein E phenotype and vascular risk factors. Patients diagnosed with "possible Alzheimer's Disease" in the Gazi University, Department of Neurology, were included in the study and age-matched volunteer patients who attended the polyclinic were included as a control group. In this study, the risk factors including low education level, smoking, hyperlipidemia, higher serum total cholesterol levels, and hyperhomocysteinemia were found to be statistically significantly more common in the Alzheimer's Disease group in comparison to the Control Group, while all Apolipoprotein E ε4/ε4 genotypes were found in the Alzheimer's Disease group. The presence of the Apolipoprotein E ε4 allele is believed to increase vascular risk factors as well as to affect Alzheimer's Disease directly. The biological indicators which are used in identifying the patients' genes will be probably used in the treatment plan of the patients in the future.

  13. What risk assessments of genetically modified organisms can learn from institutional analyses of public health risks.

    PubMed

    Rajan, S Ravi; Letourneau, Deborah K

    2012-01-01

    The risks of genetically modified organisms (GMOs) are evaluated traditionally by combining hazard identification and exposure estimates to provide decision support for regulatory agencies. We question the utility of the classical risk paradigm and discuss its evolution in GMO risk assessment. First, we consider the problem of uncertainty, by comparing risk assessment for environmental toxins in the public health domain with genetically modified organisms in the environment; we use the specific comparison of an insecticide to a transgenic, insecticidal food crop. Next, we examine normal accident theory (NAT) as a heuristic to consider runaway effects of GMOs, such as negative community level consequences of gene flow from transgenic, insecticidal crops. These examples illustrate how risk assessments are made more complex and contentious by both their inherent uncertainty and the inevitability of failure beyond expectation in complex systems. We emphasize the value of conducting decision-support research, embracing uncertainty, increasing transparency, and building interdisciplinary institutions that can address the complex interactions between ecosystems and society. In particular, we argue against black boxing risk analysis, and for a program to educate policy makers about uncertainty and complexity, so that eventually, decision making is not the burden that falls upon scientists but is assumed by the public at large. PMID:23193357

  14. What Risk Assessments of Genetically Modified Organisms Can Learn from Institutional Analyses of Public Health Risks

    PubMed Central

    Rajan, S. Ravi; Letourneau, Deborah K.

    2012-01-01

    The risks of genetically modified organisms (GMOs) are evaluated traditionally by combining hazard identification and exposure estimates to provide decision support for regulatory agencies. We question the utility of the classical risk paradigm and discuss its evolution in GMO risk assessment. First, we consider the problem of uncertainty, by comparing risk assessment for environmental toxins in the public health domain with genetically modified organisms in the environment; we use the specific comparison of an insecticide to a transgenic, insecticidal food crop. Next, we examine normal accident theory (NAT) as a heuristic to consider runaway effects of GMOs, such as negative community level consequences of gene flow from transgenic, insecticidal crops. These examples illustrate how risk assessments are made more complex and contentious by both their inherent uncertainty and the inevitability of failure beyond expectation in complex systems. We emphasize the value of conducting decision-support research, embracing uncertainty, increasing transparency, and building interdisciplinary institutions that can address the complex interactions between ecosystems and society. In particular, we argue against black boxing risk analysis, and for a program to educate policy makers about uncertainty and complexity, so that eventually, decision making is not the burden that falls upon scientists but is assumed by the public at large. PMID:23193357

  15. What risk assessments of genetically modified organisms can learn from institutional analyses of public health risks.

    PubMed

    Rajan, S Ravi; Letourneau, Deborah K

    2012-01-01

    The risks of genetically modified organisms (GMOs) are evaluated traditionally by combining hazard identification and exposure estimates to provide decision support for regulatory agencies. We question the utility of the classical risk paradigm and discuss its evolution in GMO risk assessment. First, we consider the problem of uncertainty, by comparing risk assessment for environmental toxins in the public health domain with genetically modified organisms in the environment; we use the specific comparison of an insecticide to a transgenic, insecticidal food crop. Next, we examine normal accident theory (NAT) as a heuristic to consider runaway effects of GMOs, such as negative community level consequences of gene flow from transgenic, insecticidal crops. These examples illustrate how risk assessments are made more complex and contentious by both their inherent uncertainty and the inevitability of failure beyond expectation in complex systems. We emphasize the value of conducting decision-support research, embracing uncertainty, increasing transparency, and building interdisciplinary institutions that can address the complex interactions between ecosystems and society. In particular, we argue against black boxing risk analysis, and for a program to educate policy makers about uncertainty and complexity, so that eventually, decision making is not the burden that falls upon scientists but is assumed by the public at large.

  16. Genetic variation modifies risk for neurodegeneration based on biomarker status

    PubMed Central

    Hohman, Timothy J.; Koran, Mary Ellen I.; Thornton-Wells, Tricia A.

    2014-01-01

    Background: While a great deal of work has gone into understanding the relationship between Cerebrospinal fluid (CSF) biomarkers, brain atrophy, and disease progression, less work has attempted to investigate how genetic variation modifies these relationships. The goal of this study was two-fold. First, we sought to identify high-risk vs. low-risk individuals based on their CSF tau and Aβ load and characterize these individuals with regard to brain atrophy in an AD-relevant region of interest. Next, we sought to identify genetic variants that modified the relationship between biomarker classification and neurodegeneration. Methods: Participants were categorized based on established cut-points for biomarker positivity. Mixed model regression was used to quantify longitudinal change in the left inferior lateral ventricle. Interaction analyses between single nucleotide polymorphisms (SNPs) and biomarker group status were performed using a genome wide association study (GWAS) approach. Correction for multiple comparisons was performed using the Bonferroni procedure. Results: One intergenic SNP (rs4866650) and one SNP within the SPTLC1 gene (rs7849530) modified the association between amyloid positivity and neurodegeneration. A transcript variant of WDR11-AS1 gene (rs12261764) modified the association between tau positivity and neurodegeneration. These effects were consistent across the two sub-datasets and explained approximately 3% of variance in ventricular dilation. One additional SNP (rs6887649) modified the association between amyloid positivity and baseline ventricular volume, but was not observed consistently across the sub-datasets. Conclusions: Genetic variation modifies the association between AD biomarkers and neurodegeneration. Genes that regulate the molecular response in the brain to oxidative stress may be particularly relevant to neural vulnerability to the damaging effects of amyloid-β. PMID:25140149

  17. Genetic scores based on risk-associated single nucleotide polymorphisms (SNPs) can reveal inherited risk of renal cell carcinoma.

    PubMed

    Wu, Yishuo; Zhang, Ning; Li, Kaiwen; Chen, Haitao; Lin, Xiaolin; Yu, Yang; Gou, Yuancheng; Hou, Jiangang; Jiang, Deke; Na, Rong; Wang, Xiang; Ding, Qiang; Xu, Jianfeng

    2016-04-01

    The objective of this study was to evaluate whether renal cell carcinoma (RCC) risk-associated single nucleotide polymorphisms (SNPs) could reflect the individual inherited risks of RCC. A total of 346 RCC patients and 1,130 controls were recruited in this case-control study. Genetic scores were calculated for each individual based on the odds ratios and frequencies of risk-associated SNPs. Four SNPs were significantly associated with RCC in Chinese population. Two genetic score models were established, genetic score 1 (rs10054504, rs7023329 and rs718314) and genetic score 2 (rs10054504, rs7023329 and rs1049380). For genetic score 1, the individual likelihood of RCC with low (<0.8), medium (0.8-1.2) and high (≥1.2) genetic score 1 was 15.61%, 22.25% and 33.92% respectively (P-trend=6.88×10(-7)). For genetic score 2, individual with low (<0.8), medium (0.8-1.2) and high (≥1.2) genetic score 2 would have likelihood of RCC as 14.39%, 24.54% and 36.48%, respectively (P-trend=1.27×10(-10)). The area under the receiver operating curve (AUC) of genetic score 1 was 0.626, and AUC of genetic score 2 was 0.658. We concluded that genetic score can reveal personal risk and inherited risk of RCC, especially when family history is not available.

  18. Genetic scores based on risk-associated single nucleotide polymorphisms (SNPs) can reveal inherited risk of renal cell carcinoma

    PubMed Central

    Chen, Haitao; Lin, Xiaolin; Yu, Yang; Gou, Yuancheng; Hou, Jiangang; Jiang, Deke; Na, Rong; Wang, Xiang; Ding, Qiang; Xu, Jianfeng

    2016-01-01

    The objective of this study was to evaluate whether renal cell carcinoma (RCC) risk-associated single nucleotide polymorphisms (SNPs) could reflect the individual inherited risks of RCC. A total of 346 RCC patients and 1,130 controls were recruited in this case-control study. Genetic scores were calculated for each individual based on the odds ratios and frequencies of risk-associated SNPs. Four SNPs were significantly associated with RCC in Chinese population. Two genetic score models were established, genetic score 1 (rs10054504, rs7023329 and rs718314) and genetic score 2 (rs10054504, rs7023329 and rs1049380). For genetic score 1, the individual likelihood of RCC with low (<0.8), medium (0.8-1.2) and high (≥1.2) genetic score 1 was 15.61%, 22.25% and 33.92% respectively (P-trend=6.88×10−7). For genetic score 2, individual with low (<0.8), medium (0.8-1.2) and high (≥1.2) genetic score 2 would have likelihood of RCC as 14.39%, 24.54% and 36.48%, respectively (P-trend=1.27×10−10). The area under the receiver operating curve (AUC) of genetic score 1 was 0.626, and AUC of genetic score 2 was 0.658. We concluded that genetic score can reveal personal risk and inherited risk of RCC, especially when family history is not available. PMID:27229762

  19. Symposium overview: genetic polymorphisms in DNA repair and cancer risk.

    PubMed

    Hu, J J; Mohrenweiser, H W; Bell, D A; Leadon, S A; Miller, M S

    2002-11-15

    A symposium, Genetic Polymorphisms in DNA Repair and Cancer Risk, was presented at the 40th Annual Meeting of the Society of Toxicology, held in San Francisco, California, in March 2001. A brief report of the symposium was published (Kaiser, Science 292, 837-838, 2001). Molecular epidemiological studies have shown that polymorphic variants of genes involved in the metabolism and repair of carcinogens can act as cancer susceptibility genes. These variants of drug metabolic and DNA-repair enzymes either increase the activation of chemical carcinogens or decrease the cells' ability to detoxify/repair mutagenic damages. Although on an individual basis these variant alleles may only slightly change catalytic activity and increase cancer risk, their polymorphic frequency in the human population may contribute to a high proportion of cancer cases. Studies conducted over the past few years have identified variant alleles for a number of DNA-repair genes, some of which have been shown to change DNA-repair capacity. Identifying these genotypic alterations in DNA-repair enzymes and their association with cancer may help to elucidate the mechanisms of cancer etiology and to predict both disease risk and response to cancer therapy, since most antineoplastic treatments mediate their effects through DNA damage.

  20. Breast cancer risk assessment across the risk continuum: genetic and nongenetic risk factors contributing to differential model performance

    PubMed Central

    2012-01-01

    Introduction Clinicians use different breast cancer risk models for patients considered at average and above-average risk, based largely on their family histories and genetic factors. We used longitudinal cohort data from women whose breast cancer risks span the full spectrum to determine the genetic and nongenetic covariates that differentiate the performance of two commonly used models that include nongenetic factors - BCRAT, also called Gail model, generally used for patients with average risk and IBIS, also called Tyrer Cuzick model, generally used for patients with above-average risk. Methods We evaluated the performance of the BCRAT and IBIS models as currently applied in clinical settings for 10-year absolute risk of breast cancer, using prospective data from 1,857 women over a mean follow-up length of 8.1 years, of whom 83 developed cancer. This cohort spans the continuum of breast cancer risk, with some subjects at lower than average population risk. Therefore, the wide variation in individual risk makes it an interesting population to examine model performance across subgroups of women. For model calibration, we divided the cohort into quartiles of model-assigned risk and compared differences between assigned and observed risks using the Hosmer-Lemeshow (HL) chi-squared statistic. For model discrimination, we computed the area under the receiver operator curve (AUC) and the case risk percentiles (CRPs). Results The 10-year risks assigned by BCRAT and IBIS differed (range of difference 0.001 to 79.5). The mean BCRAT- and IBIS-assigned risks of 3.18% and 5.49%, respectively, were lower than the cohort's 10-year cumulative probability of developing breast cancer (6.25%; 95% confidence interval (CI) = 5.0 to 7.8%). Agreement between assigned and observed risks was better for IBIS (HL X42 = 7.2, P value 0.13) than BCRAT (HL X42 = 22.0, P value <0.001). The IBIS model also showed better discrimination (AUC = 69.5%, CI = 63.8% to 75.2%) than did the BCRAT model

  1. Genetic risk prediction and neurobiological understanding of alcoholism.

    PubMed

    Levey, D F; Le-Niculescu, H; Frank, J; Ayalew, M; Jain, N; Kirlin, B; Learman, R; Winiger, E; Rodd, Z; Shekhar, A; Schork, N; Kiefer, F; Kiefe, F; Wodarz, N; Müller-Myhsok, B; Dahmen, N; Nöthen, M; Sherva, R; Farrer, L; Smith, A H; Kranzler, H R; Rietschel, M; Gelernter, J; Niculescu, A B

    2014-05-20

    We have used a translational Convergent Functional Genomics (CFG) approach to discover genes involved in alcoholism, by gene-level integration of genome-wide association study (GWAS) data from a German alcohol dependence cohort with other genetic and gene expression data, from human and animal model studies, similar to our previous work in bipolar disorder and schizophrenia. A panel of all the nominally significant P-value SNPs in the top candidate genes discovered by CFG  (n=135 genes, 713 SNPs) was used to generate a genetic  risk prediction score (GRPS), which showed a trend towards significance (P=0.053) in separating  alcohol dependent individuals from controls in an independent German test cohort. We then validated and prioritized our top findings from this discovery work, and subsequently tested them in three independent cohorts, from two continents. A panel of all the nominally significant P-value single-nucleotide length polymorphisms (SNPs) in the top candidate genes discovered by CFG (n=135 genes, 713 SNPs) were used to generate a Genetic Risk Prediction Score (GRPS), which showed a trend towards significance (P=0.053) in separating alcohol-dependent individuals from controls in an independent German test cohort. In order to validate and prioritize the key genes that drive behavior without some of the pleiotropic environmental confounds present in humans, we used a stress-reactive animal model of alcoholism developed by our group, the D-box binding protein (DBP) knockout mouse, consistent with the surfeit of stress theory of addiction proposed by Koob and colleagues. A much smaller panel (n=11 genes, 66 SNPs) of the top CFG-discovered genes for alcoholism, cross-validated and prioritized by this stress-reactive animal model showed better predictive ability in the independent German test cohort (P=0.041). The top CFG scoring gene for alcoholism from the initial discovery step, synuclein alpha (SNCA) remained the top gene after the stress

  2. Recommendations for presymptomatic genetic testing and management of individuals at risk for hereditary transthyretin amyloidosis

    PubMed Central

    Obici, Laura; Kuks, Jan B.; Buades, Juan; Adams, David; Suhr, Ole B.; Coelho, Teresa; Kyriakides, Theodore

    2016-01-01

    Purpose of review These recommendations highlight recent experience in genetic counselling for the severe autosomal-dominant, late-onset transthyretin familial amyloid polyneuropathy (TTR-FAP) disease, and present a structured approach towards identification and monitoring of asymptomatic carriers of the mutated gene. Recent findings The effectiveness of current treatment options is still limited in patients with TTR-FAP beyond stage I. Diagnosis in the early stages of TTR-FAP is essential to prevent or delay the progression of disease. Existing legal and cultural issues differ among countries within Europe. Experts of the European Network for TTR-FAP (ATTReuNET) concluded that genetic counselling for diagnosed individuals and at-risk family members is mostly beneficial and should be carried out with care by trained professionals. Systematic and regular monitoring of an asymptomatic carrier is necessary to detect early signs of TTR-FAP and maximize the effectiveness of treatment. This includes five areas of assessment: history/clinical examination, sensorimotor function, autonomic dysfunction, cardiac function, and renal function. At least two related symptoms and positive biopsy findings are required to confirm diagnosis of TTR-FAP. Summary Early detection of TTR-FAP is essential to improve the prognosis of TTR-FAP. ATTReuNET recommends genetic counselling and routine monitoring for asymptomatic carriers of TTR-FAP. PMID:26734953

  3. NEURAL PLASTICITY, HUMAN GENETICS, AND RISK FOR ALCOHOL DEPENDENCE

    PubMed Central

    Hill, Shirley Y.

    2013-01-01

    Opportunities for advances in the neurobiology of alcohol dependence have been facilitated by the development of sophisticated neurophysiological and neuroimaging techniques that allow us to have a window on developmental changes in brain structure and function. The search for genes that may increase susceptibility to alcohol dependence has been greatly facilitated by the recognition that intermediate phenotypes, sometimes referred to as endophenotypes. may be closer to the genetic variation than is the more complex alcohol dependence phenotype. This chapter will review the evidence that the brain is highly plastic, exhibiting major postnatal changes, especially during adolescence, in neural circuits that appear to influence addiction susceptibility. This chapter will suggest that heritable aspects of brain structure and function that are seen developmentally may be an important endophenotypic characteristic associated with familial risk for developing alcohol dependence. Finally, a review of studies showing associations between brain structural and functional characteristics and specific genes will be offered. PMID:20813240

  4. Lobular breast cancer: incidence and genetic and non-genetic risk factors.

    PubMed

    Dossus, Laure; Benusiglio, Patrick R

    2015-01-01

    While most invasive breast cancers consist of carcinomas of the ductal type, about 10% are invasive lobular carcinomas. Invasive lobular and ductal carcinomas differ with respect to risk factors. Invasive lobular carcinoma is more strongly associated with exposure to female hormones, and therefore its incidence is more subject to variation. This is illustrated by US figures during the 1987 to 2004 period: after 12 years of increases, breast cancer incidence declined steadily from 1999 to 2004, reflecting among other causes the decreasing use of menopausal hormone therapy, and these variations were stronger for invasive lobular than for invasive ductal carcinoma. Similarly, invasive lobular carcinoma is more strongly associated with early menarche, late menopause and late age at first birth. As for genetic risk factors, four high-penetrance genes are tested in clinical practice when genetic susceptibility to breast cancer is suspected, BRCA1, BRCA2, TP53 and CDH1. Germline mutations in BRCA1 and TP53 are predominantly associated with invasive ductal carcinoma, while BRCA2 mutations are associated with both ductal and lobular cancers. CDH1, the gene coding for the E-cadherin adhesion protein, is of special interest as mutations are associated with invasive lobular carcinoma, but never with ductal carcinoma. It was initially known as the main susceptibility gene for gastric cancer of the diffuse type, but the excess of breast cancers of the lobular type in CDH1 families led researchers to identify it also as a susceptibility gene for invasive lobular carcinoma. The risk of invasive lobular carcinoma is high in female mutation carriers, as about 50% are expected to develop the disease. Carriers must therefore undergo intensive breast cancer screening, with, for example, yearly magnetic resonance imaging and mammogram starting at age 30 years. PMID:25848941

  5. Lobular breast cancer: incidence and genetic and non-genetic risk factors.

    PubMed

    Dossus, Laure; Benusiglio, Patrick R

    2015-01-01

    While most invasive breast cancers consist of carcinomas of the ductal type, about 10% are invasive lobular carcinomas. Invasive lobular and ductal carcinomas differ with respect to risk factors. Invasive lobular carcinoma is more strongly associated with exposure to female hormones, and therefore its incidence is more subject to variation. This is illustrated by US figures during the 1987 to 2004 period: after 12 years of increases, breast cancer incidence declined steadily from 1999 to 2004, reflecting among other causes the decreasing use of menopausal hormone therapy, and these variations were stronger for invasive lobular than for invasive ductal carcinoma. Similarly, invasive lobular carcinoma is more strongly associated with early menarche, late menopause and late age at first birth. As for genetic risk factors, four high-penetrance genes are tested in clinical practice when genetic susceptibility to breast cancer is suspected, BRCA1, BRCA2, TP53 and CDH1. Germline mutations in BRCA1 and TP53 are predominantly associated with invasive ductal carcinoma, while BRCA2 mutations are associated with both ductal and lobular cancers. CDH1, the gene coding for the E-cadherin adhesion protein, is of special interest as mutations are associated with invasive lobular carcinoma, but never with ductal carcinoma. It was initially known as the main susceptibility gene for gastric cancer of the diffuse type, but the excess of breast cancers of the lobular type in CDH1 families led researchers to identify it also as a susceptibility gene for invasive lobular carcinoma. The risk of invasive lobular carcinoma is high in female mutation carriers, as about 50% are expected to develop the disease. Carriers must therefore undergo intensive breast cancer screening, with, for example, yearly magnetic resonance imaging and mammogram starting at age 30 years.

  6. Genetic Risk for Aortic Aneurysm in Adolescent Idiopathic Scoliosis

    PubMed Central

    Haller, Gabe; Alvarado, David M.; Willing, Marcia C.; Braverman, Alan C.; Bridwell, Keith H.; Kelly, Michael; Lenke, Lawrence G.; Luhmann, Scott J.; Gurnett, Christina A.; Dobbs, Matthew B.

    2015-01-01

    Background: Scoliosis is a feature of several genetic disorders that are also associated with aortic aneurysm, including Marfan syndrome, Loeys-Dietz syndrome, and type-IV Ehlers-Danlos syndrome. Life-threatening complications of aortic aneurysm can be decreased through early diagnosis. Genetic screening for mutations in populations at risk, such as patients with adolescent idiopathic scoliosis, may improve recognition of these disorders. Methods: The coding regions of five clinically actionable genes associated with scoliosis (COL3A1, FBN1, TGFBR1, TGFBR2, and SMAD3) and aortic aneurysm were sequenced in 343 adolescent idiopathic scoliosis cases. Gene variants that had minor allele frequencies of <0.0001 or were present in human disease mutation databases were identified. Variants were classified as pathogenic, likely pathogenic, or variants of unknown significance. Results: Pathogenic or likely pathogenic mutations were identified in 0.9% (three) of 343 adolescent idiopathic scoliosis cases. Two patients had pathogenic SMAD3 nonsense mutations consistent with type-III Loeys-Dietz syndrome and one patient had a pathogenic FBN1 mutation with subsequent confirmation of Marfan syndrome. Variants of unknown significance in COL3A1 and FBN1 were identified in 5.0% (seventeen) of 343 adolescent idiopathic scoliosis cases. Six FBN1 variants were previously reported in patients with Marfan syndrome, yet were considered variants of unknown significance based on the level of evidence. Variants of unknown significance occurred most frequently in FBN1 and were associated with greater curve severity, systemic features of Marfan syndrome, and joint hypermobility. Conclusions: Clinically actionable pathogenic mutations in genes associated with adolescent idiopathic scoliosis and aortic aneurysm are rare in patients with adolescent idiopathic scoliosis who are not suspected of having these disorders, although variants of unknown significance are relatively common. Clinical

  7. Genetic/Familial High-Risk Assessment: Breast and Ovarian, Version 2.2015.

    PubMed

    Daly, Mary B; Pilarski, Robert; Axilbund, Jennifer E; Berry, Michael; Buys, Saundra S; Crawford, Beth; Farmer, Meagan; Friedman, Susan; Garber, Judy E; Khan, Seema; Klein, Catherine; Kohlmann, Wendy; Kurian, Allison; Litton, Jennifer K; Madlensky, Lisa; Marcom, P Kelly; Merajver, Sofia D; Offit, Kenneth; Pal, Tuya; Rana, Huma; Reiser, Gwen; Robson, Mark E; Shannon, Kristen Mahoney; Swisher, Elizabeth; Voian, Nicoleta C; Weitzel, Jeffrey N; Whelan, Alison; Wick, Myra J; Wiesner, Georgia L; Dwyer, Mary; Kumar, Rashmi; Darlow, Susan

    2016-02-01

    The NCCN Guidelines for Genetic/Familial High-Risk Assessment: Breast and Ovarian provide recommendations for genetic testing and counseling and risk assessment and management for hereditary cancer syndromes. Guidelines focus on syndromes associated with an increased risk of breast and/or ovarian cancer and are intended to assist with clinical and shared decision-making. These NCCN Guidelines Insights summarize major discussion points of the 2015 NCCN Genetic/Familial High-Risk Assessment: Breast and Ovarian panel meeting. Major discussion topics this year included multigene testing, risk management recommendations for less common genetic mutations, and salpingectomy for ovarian cancer risk reduction. The panel also discussed revisions to genetic testing criteria that take into account ovarian cancer histology and personal history of pancreatic cancer. PMID:26850485

  8. Tutorial dialogues and gist explanations of genetic breast cancer risk.

    PubMed

    Widmer, Colin L; Wolfe, Christopher R; Reyna, Valerie F; Cedillos-Whynott, Elizabeth M; Brust-Renck, Priscila G; Weil, Audrey M

    2015-09-01

    The intelligent tutoring system (ITS) BRCA Gist is a Web-based tutor developed using the Shareable Knowledge Objects (SKO) platform that uses latent semantic analysis to engage women in natural-language dialogues to teach about breast cancer risk. BRCA Gist appears to be the first ITS designed to assist patients' health decision making. Two studies provide fine-grained analyses of the verbal interactions between BRCA Gist and women responding to five questions pertaining to breast cancer and genetic risk. We examined how "gist explanations" generated by participants during natural-language dialogues related to outcomes. Using reliable rubrics, scripts of the participants' verbal interactions with BRCA Gist were rated for content and for the appropriateness of the tutor's responses. Human researchers' scores for the content covered by the participants were strongly correlated with the coverage scores generated by BRCA Gist, indicating that BRCA Gist accurately assesses the extent to which people respond appropriately. In Study 1, participants' performance during the dialogues was consistently associated with learning outcomes about breast cancer risk. Study 2 was a field study with a more diverse population. Participants with an undergraduate degree or less education who were randomly assigned to BRCA Gist scored higher on tests of knowledge than those assigned to the National Cancer Institute website or than a control group. We replicated findings that the more expected content that participants included in their gist explanations, the better they performed on outcome measures. As fuzzy-trace theory suggests, encouraging people to develop and elaborate upon gist explanations appears to improve learning, comprehension, and decision making. PMID:25921818

  9. Genetic information and life insurance: a 'real' risk?

    PubMed

    Joly, Yann; Knoppers, Bartha M; Godard, Béatrice

    2003-08-01

    Public concern about genetic discrimination, particularly access to insurance following genetic testing, has been reported in the literature. This paper aims to separate myths from realities regarding genetic discrimination in life insurance and to underline the positive aspects of allowing insurers access to relevant genetic information for underwriting purposes. We present a review of the literature pertinent to discrimination in life insurance and a comparative analysis of industries guidelines. There are few reported cases in the literature of validated genetic discrimination. However, the benefits to be gained by allowing insurers access to relevant genetic data could justify fostering a more active role in the use of genetic information by insurance companies.

  10. Peer Smoking and the Nicotinic Receptor Genes: An Examination of Genetic and Environmental Risks for Nicotine Dependence

    PubMed Central

    Johnson, Eric O.; Chen, Li-Shiun; Breslau, Naomi; Hatsukami, Dorothy; Robbins, Tania; Saccone, Nancy L.; Grucza, Richard A.; Bierut, Laura J.

    2010-01-01

    Background Peer smoking provides a socially reinforcing context of friends’ encouragement and approval that contributes to smoking behavior. Twin studies show correlations and interactions between peer substance use and genetic liability for substance use. However, none examined specific genes. Here we test the hypothesis that the nicotinic receptor genes CHRNA5 (rs16969968), CHRNA3 (rs578776), CHRNB3 (rs13277254), and CHRND (rs12466358) modify the risk for nicotine dependence (ND) associated with peer smoking. Methods Cases of current nicotine dependence (FTND ≥ 4) and smoking-exposed (smoked 100+ cigarettes lifetime), but non-dependent controls (lifetime FTND = 0) came from the Collaborative Genetic Study of Nicotine Dependence (n=2,038). Peer smoking was retrospectively assessed for grades 9–12. Results Peer smoking and the four SNPs were associated with ND. A statistically significant interaction was found between peer smoking and rs16969968 (p = 0.0077). Overall risk of ND was highest for the rs16969968 AA genotype. However, variance in ND attributable to peer smoking was substantially lower among those with the AA genotype at rs16969968 than the lower risk genotypes: AA = 2.5%, GA/AG = 11.2%, GG = 14.2%; p ≤ 0.004. Conclusions Peer smoking had a substantially lower effect on ND among those with the high risk AA genotype at the functional SNP rs16969968 (CHRNA5) than among those with lower risk genotypes. Such results highlight the possibility that given drug exposure those with specific genetic risks may be less affected by social contexts and intervention strategies focused on social factors could have less influence on those at highest genetic risk. PMID:20840187

  11. Genetic risk prediction and neurobiological understanding of alcoholism

    PubMed Central

    Levey, D F; Le-Niculescu, H; Frank, J; Ayalew, M; Jain, N; Kirlin, B; Learman, R; Winiger, E; Rodd, Z; Shekhar, A; Schork, N; Kiefe, F; Wodarz, N; Müller-Myhsok, B; Dahmen, N; Nöthen, M; Sherva, R; Farrer, L; Smith, A H; Kranzler, H R; Rietschel, M; Gelernter, J; Niculescu, A B

    2014-01-01

    We have used a translational Convergent Functional Genomics (CFG) approach to discover genes involved in alcoholism, by gene-level integration of genome-wide association study (GWAS) data from a German alcohol dependence cohort with other genetic and gene expression data, from human and animal model studies, similar to our previous work in bipolar disorder and schizophrenia. A panel of all the nominally significant P-value SNPs in the top candidate genes discovered by CFG  (n=135 genes, 713 SNPs) was used to generate a genetic  risk prediction score (GRPS), which showed a trend towards significance (P=0.053) in separating  alcohol dependent individuals from controls in an independent German test cohort. We then validated and prioritized our top findings from this discovery work, and subsequently tested them in three independent cohorts, from two continents. In order to validate and prioritize the key genes that drive behavior without some of the pleiotropic environmental confounds present in humans, we used a stress-reactive animal model of alcoholism developed by our group, the D-box binding protein (DBP) knockout mouse, consistent with the surfeit of stress theory of addiction proposed by Koob and colleagues. A much smaller panel (n=11 genes, 66 SNPs) of the top CFG-discovered genes for alcoholism, cross-validated and prioritized by this stress-reactive animal model showed better predictive ability in the independent German test cohort (P=0.041). The top CFG scoring gene for alcoholism from the initial discovery step, synuclein alpha (SNCA) remained the top gene after the stress-reactive animal model cross-validation. We also tested this small panel of genes in two other independent test cohorts from the United States, one with alcohol dependence (P=0.00012) and one with alcohol abuse (a less severe form of alcoholism; P=0.0094). SNCA by itself was able to separate alcoholics from controls in the alcohol-dependent cohort (P=0.000013) and the alcohol abuse

  12. Genetic and environmental determinants of violence risk in psychotic disorders: a multivariate quantitative genetic study of 1.8 million Swedish twins and siblings.

    PubMed

    Sariaslan, A; Larsson, H; Fazel, S

    2016-09-01

    Patients diagnosed with psychotic disorders (for example, schizophrenia and bipolar disorder) have elevated risks of committing violent acts, particularly if they are comorbid with substance misuse. Despite recent insights from quantitative and molecular genetic studies demonstrating considerable pleiotropy in the genetic architecture of these phenotypes, there is currently a lack of large-scale studies that have specifically examined the aetiological links between psychotic disorders and violence. Using a sample of all Swedish individuals born between 1958 and 1989 (n=3 332 101), we identified a total of 923 259 twin-sibling pairs. Patients were identified using the National Patient Register using validated algorithms based on International Classification of Diseases (ICD) 8-10. Univariate quantitative genetic models revealed that all phenotypes (schizophrenia, bipolar disorder, substance misuse, and violent crime) were highly heritable (h(2)=53-71%). Multivariate models further revealed that schizophrenia was a stronger predictor of violence (r=0.32; 95% confidence interval: 0.30-0.33) than bipolar disorder (r=0.23; 0.21-0.25), and large proportions (51-67%) of these phenotypic correlations were explained by genetic factors shared between each disorder, substance misuse, and violence. Importantly, we found that genetic influences that were unrelated to substance misuse explained approximately a fifth (21%; 20-22%) of the correlation with violent criminality in bipolar disorder but none of the same correlation in schizophrenia (Pbipolar disorder<0.001; Pschizophrenia=0.55). These findings highlight the problems of not disentangling common and unique sources of covariance across genetically similar phenotypes as the latter sources may include aetiologically important clues. Clinically, these findings underline the importance of assessing risk of different phenotypes together and integrating interventions for psychiatric disorders, substance misuse, and violence.

  13. Genetic and environmental determinants of violence risk in psychotic disorders: a multivariate quantitative genetic study of 1.8 million Swedish twins and siblings.

    PubMed

    Sariaslan, A; Larsson, H; Fazel, S

    2016-09-01

    Patients diagnosed with psychotic disorders (for example, schizophrenia and bipolar disorder) have elevated risks of committing violent acts, particularly if they are comorbid with substance misuse. Despite recent insights from quantitative and molecular genetic studies demonstrating considerable pleiotropy in the genetic architecture of these phenotypes, there is currently a lack of large-scale studies that have specifically examined the aetiological links between psychotic disorders and violence. Using a sample of all Swedish individuals born between 1958 and 1989 (n=3 332 101), we identified a total of 923 259 twin-sibling pairs. Patients were identified using the National Patient Register using validated algorithms based on International Classification of Diseases (ICD) 8-10. Univariate quantitative genetic models revealed that all phenotypes (schizophrenia, bipolar disorder, substance misuse, and violent crime) were highly heritable (h(2)=53-71%). Multivariate models further revealed that schizophrenia was a stronger predictor of violence (r=0.32; 95% confidence interval: 0.30-0.33) than bipolar disorder (r=0.23; 0.21-0.25), and large proportions (51-67%) of these phenotypic correlations were explained by genetic factors shared between each disorder, substance misuse, and violence. Importantly, we found that genetic influences that were unrelated to substance misuse explained approximately a fifth (21%; 20-22%) of the correlation with violent criminality in bipolar disorder but none of the same correlation in schizophrenia (Pbipolar disorder<0.001; Pschizophrenia=0.55). These findings highlight the problems of not disentangling common and unique sources of covariance across genetically similar phenotypes as the latter sources may include aetiologically important clues. Clinically, these findings underline the importance of assessing risk of different phenotypes together and integrating interventions for psychiatric disorders, substance misuse, and violence

  14. Genetic and environmental determinants of violence risk in psychotic disorders: a multivariate quantitative genetic study of 1.8 million Swedish twins and siblings

    PubMed Central

    Sariaslan, A; Larsson, H; Fazel, S

    2016-01-01

    Patients diagnosed with psychotic disorders (for example, schizophrenia and bipolar disorder) have elevated risks of committing violent acts, particularly if they are comorbid with substance misuse. Despite recent insights from quantitative and molecular genetic studies demonstrating considerable pleiotropy in the genetic architecture of these phenotypes, there is currently a lack of large-scale studies that have specifically examined the aetiological links between psychotic disorders and violence. Using a sample of all Swedish individuals born between 1958 and 1989 (n=3 332 101), we identified a total of 923 259 twin-sibling pairs. Patients were identified using the National Patient Register using validated algorithms based on International Classification of Diseases (ICD) 8–10. Univariate quantitative genetic models revealed that all phenotypes (schizophrenia, bipolar disorder, substance misuse, and violent crime) were highly heritable (h2=53–71%). Multivariate models further revealed that schizophrenia was a stronger predictor of violence (r=0.32; 95% confidence interval: 0.30–0.33) than bipolar disorder (r=0.23; 0.21–0.25), and large proportions (51–67%) of these phenotypic correlations were explained by genetic factors shared between each disorder, substance misuse, and violence. Importantly, we found that genetic influences that were unrelated to substance misuse explained approximately a fifth (21% 20–22%) of the correlation with violent criminality in bipolar disorder but none of the same correlation in schizophrenia (Pbipolar disorder<0.001; Pschizophrenia=0.55). These findings highlight the problems of not disentangling common and unique sources of covariance across genetically similar phenotypes as the latter sources may include aetiologically important clues. Clinically, these findings underline the importance of assessing risk of different phenotypes together and integrating interventions for psychiatric disorders, substance misuse, and

  15. Genetic Risk by Experience Interaction for Childhood Internalizing Problems: Converging Evidence across Multiple Methods

    ERIC Educational Resources Information Center

    Vendlinski, Matthew K.; Lemery-Chalfant, Kathryn; Essex, Marilyn J.; Goldsmith, H. Hill

    2011-01-01

    Background: Identifying how genetic risk interacts with experience to predict psychopathology is an important step toward understanding the etiology of mental health problems. Few studies have examined genetic risk by experience interaction (GxE) in the development of childhood psychopathology. Methods: We used both co-twin and parent mental…

  16. Human Papillomavirus 18 Genetic Variation and Cervical Cancer Risk Worldwide

    PubMed Central

    Chen, Alyce A.; Gheit, Tarik; Franceschi, Silvia

    2015-01-01

    ABSTRACT Human papillomavirus 18 (HPV18) is the second most carcinogenic HPV type, after HPV16, and it accounts for approximately 12% of squamous cell carcinoma (SCC) as well as 37% of adenocarcinoma (ADC) of the cervix worldwide. We aimed to evaluate the worldwide diversity and carcinogenicity of HPV18 genetic variants by sequencing the entire long control region (LCR) and the E6 open reading frame of 711 HPV18-positive cervical samples from 39 countries, taking advantage of the International Agency for Research on Cancer biobank. A total of 209 unique HPV18 sequence variants were identified that formed three phylogenetic lineages (A, B, and C). A and B lineages each divided into four sublineages, including a newly identified candidate B4 sublineage. The distribution of lineages varied by geographical region, with B and C lineages found principally in Africa. HPV18 (sub)lineages were compared between 453 cancer cases and 236 controls, as well as between 81 ADC and 160 matched SCC cases. In region-stratified analyses, there were no significant differences in the distribution of HPV18 variant lineages between cervical cancer cases and controls or between ADC and SCC. In conclusion, our findings do not support the role of HPV18 (sub)lineages for discriminating cancer risk or explaining why HPV18 is more strongly linked with ADC than SCC. IMPORTANCE This is the largest and most geographically/ethnically diverse study of the genetic variation of HPV18 to date, providing a comprehensive reference for phylogenetic classification of HPV18 sublineages for epidemiological and biological studies. PMID:26269181

  17. A conceptual model of geological risk in the Ischia Island (Italy): highlights on volcanic history, seismicity and flooding

    NASA Astrophysics Data System (ADS)

    Carlino, Stefano; Cubellis, Elena; Iannuzzi, Raffaello; Luongo, Giuseppe

    2010-05-01

    During the last eight centuries the island of Ischia was hit by earthquakes, volcanic eruptions and floods producing heavy damages and numerous fatalities. Since the last twenty century the Ischia population is grown very fast, nowadays more than 56.000 people live in the island and 4 million of people visit it during the year, thus this area is characterised as an high geological risk territory. The island is here presented as an interesting "laboratory" for volcanic, seismic and hydrogeological risks assessment, from which to draw lessons for planning in risk areas. Ischia is a volcanic field, formed by the succession of effusive and explosive eruptions which formed lavas, welded and loose pyroclastic rocks. The succession of rock layers, with different permeability, promotes, during heavy rainfall, the formation of flows with high kinetic energy, which can produce devastating landslides. In this context, the remarkable development of settlements in the island, occurred in recent times, and the lack of planning that bring attention to the vulnerability of the area, have produced an exponential risk increase. Eruptions, earthquakes, flooding occurred in the island of Ischia in the past, have produced a wealth literature about catastrophic natural events. In general, the accounts of the events were recorded by various means, such as: newspaper, property disputes, historical and sociological analysis, poetic or artistic works, scientific analysis. As regard volcanism, earthquakes, tsunamis, there are myths, legends, historical documents, archaeological findings and results of recent surveys. Documented descriptions of historical eruptive events are only available for the last eruption of 1301-1302, while there are records for eruptive events in the early centuries of the Christian Age. More comprehensive accounts are available about historical seismicity. Information and documentations are available since the 1228 earthquake. However, more detailed and useful

  18. Do Health Professionals Need Additional Competencies for Stratified Cancer Prevention Based on Genetic Risk Profiling?

    PubMed Central

    Chowdhury, Susmita; Henneman, Lidewij; Dent, Tom; Hall, Alison; Burton, Alice; Pharoah, Paul; Pashayan, Nora; Burton, Hilary

    2015-01-01

    There is growing evidence that inclusion of genetic information about known common susceptibility variants may enable population risk-stratification and personalized prevention for common diseases including cancer. This would require the inclusion of genetic testing as an integral part of individual risk assessment of an asymptomatic individual. Front line health professionals would be expected to interact with and assist asymptomatic individuals through the risk stratification process. In that case, additional knowledge and skills may be needed. Current guidelines and frameworks for genetic competencies of non-specialist health professionals place an emphasis on rare inherited genetic diseases. For common diseases, health professionals do use risk assessment tools but such tools currently do not assess genetic susceptibility of individuals. In this article, we compare the skills and knowledge needed by non-genetic health professionals, if risk-stratified prevention is implemented, with existing competence recommendations from the UK, USA and Europe, in order to assess the gaps in current competences. We found that health professionals would benefit from understanding the contribution of common genetic variations in disease risk, the rationale for a risk-stratified prevention pathway, and the implications of using genomic information in risk-assessment and risk management of asymptomatic individuals for common disease prevention. PMID:26068647

  19. GENETIC CONTRIBUTIONS TO POPULATION LEVEL ECOLOGICAL RISK ASSESSMENT

    EPA Science Inventory

    Genetic variation defines population structure and provides the mechanism for populations to adapt to novel stressors. Despite its fundamental importance in understanding populations, genetic information has been included rarely in models of population dynamics (endangered speci...

  20. Facial emotion perception differs in young persons at genetic and clinical high-risk for psychosis.

    PubMed

    Kohler, Christian G; Richard, Jan A; Brensinger, Colleen M; Borgmann-Winter, Karin E; Conroy, Catherine G; Moberg, Paul J; Gur, Ruben C; Gur, Raquel E; Calkins, Monica E

    2014-05-15

    A large body of literature has documented facial emotion perception impairments in schizophrenia. More recently, emotion perception has been investigated in persons at genetic and clinical high-risk for psychosis. This study compared emotion perception abilities in groups of young persons with schizophrenia, clinical high-risk, genetic risk and healthy controls. Groups, ages 13-25, included 24 persons at clinical high-risk, 52 first-degree relatives at genetic risk, 91 persons with schizophrenia and 90 low risk persons who completed computerized testing of emotion recognition and differentiation. Groups differed by overall emotion recognition abilities and recognition of happy, sad, anger and fear expressions. Pairwise comparisons revealed comparable impairments in recognition of happy, angry, and fearful expressions for persons at clinical high-risk and schizophrenia, while genetic risk participants were less impaired, showing reduced recognition of fearful expressions. Groups also differed for differentiation of happy and sad expressions, but differences were mainly between schizophrenia and control groups. Emotion perception impairments are observable in young persons at-risk for psychosis. Preliminary results with clinical high-risk participants, when considered along findings in genetic risk relatives, suggest social cognition abilities to reflect pathophysiological processes involved in risk of schizophrenia. PMID:24582775

  1. KCNJ11: Genetic Polymorphisms and Risk of Diabetes Mellitus

    PubMed Central

    Haghvirdizadeh, Polin; Mohamed, Zahurin; Abdullah, Nor Azizan; Haghvirdizadeh, Pantea; Haerian, Monir Sadat; Haerian, Batoul Sadat

    2015-01-01

    Diabetes mellitus (DM) is a major worldwide health problem and its prevalence has been rapidly increasing in the last century. It is caused by defects in insulin secretion or insulin action or both, leading to hyperglycemia. Of the various types of DM, type 2 occurs most frequently. Multiple genes and their interactions are involved in the insulin secretion pathway. Insulin secretion is mediated through the ATP-sensitive potassium (KATP) channel in pancreatic beta cells. This channel is a heteromeric protein, composed of four inward-rectifier potassium ion channel (Kir6.2) tetramers, which form the pore of the KATP channel, as well as sulfonylurea receptor 1 subunits surrounding the pore. Kir6.2 is encoded by the potassium inwardly rectifying channel, subfamily J, member 11 (KCNJ11) gene, a member of the potassium channel genes. Numerous studies have reported the involvement of single nucleotide polymorphisms of the KCNJ11 gene and their interactions in the susceptibility to DM. This review discusses the current evidence for the contribution of common KCNJ11 genetic variants to the development of DM. Future studies should concentrate on understanding the exact role played by these risk variants in the development of DM. PMID:26448950

  2. Identification of genetic risk factors for maxillary lateral incisor agenesis.

    PubMed

    Alves-Ferreira, M; Pinho, T; Sousa, A; Sequeiros, J; Lemos, C; Alonso, I

    2014-05-01

    Tooth agenesis affects 20% of the world population, and maxillary lateral incisors agenesis (MLIA) is one of the most frequent subtypes, characterized by the absence of formation of deciduous or permanent lateral incisors. Odontogenesis is a complex mechanism regulated by sequential and reciprocal epithelial-mesenchymal interactions, controlled by activators and inhibitors involved in several pathways. Disturbances in these signaling cascades can lead to abnormalities in odontogenesis, resulting in alterations in the formation of the normal teeth number. Our aim was to study a large number of genes encoding either transcription factors or key components in signaling pathways shown to be involved in tooth odontogenesis. We selected 8 genes-MSX1, PAX9, AXIN2, EDA, SPRY2, TGFA, SPRY4, and WNT10A-and performed one of the largest case-control studies taking into account the number of genes and variants assessed, aiming at the identification of MLIA susceptibility factors. We show the involvement of PAX9, EDA, SPRY2, SPRY4, and WNT10A as risk factors for MLIA. Additionally, we uncovered 3 strong synergistic interactions between MLIA liability and MSX1-TGFA, AXIN2-TGFA, and SPRY2-SPRY4 gene pairs. We report the first evidence of the involvement of sprouty genes in MLIA susceptibility. This large study results in a better understanding of the genetic components and mechanisms underlying this trait.

  3. [Chronic lymphocytic leukemia. Treatment and genetic risk profile].

    PubMed

    Stilgenbauer, S; Hallek, M

    2013-02-01

    Chronic lymphocytic leukemia (CLL) is characterized by a highly variable clinical course. Among the biological features underlying this heterogeneity, genetic lesions and the mutational status of the immunoglobulin heavy chain variable genes (IGHV) are of importance. Therapeutic options in CLL have been considerably expanded during recent years. The combination of fludarabine, cyclophosphamide and rituximab (FCR) has become gold standard in the first-line treatment of physically fit patients. Bendamustine plus rituximab (BR) is currently being compared to FCR in studies and chlorambucil is still of relevance for elderly patients with comorbidities. Alemtuzumab is an alternative for high-risk patients (refractory CLL, 17p deletion, TP53 mutation). Allogeneic stem cell transplantation (allo-SCT) offers the only chance of cure but not without substantial mortality. Innovative approaches focus on individualized, targeted therapies. A number of novel agents are in clinical trials and show marked efficacy combined with good tolerability. This review provides an overview of the current therapeutic options and of promising novel approaches.

  4. Non-genetic risk factors and their influence on the management of patients in the clinic.

    PubMed

    Álvarez, Teresa; Soto, Immaculada; Astermark, Jan

    2015-02-01

    The development of inhibitors is the most serious iatrogenic complication affecting patients with haemophilia. This complication is associated with impaired vital or functional prognosis, reduced quality of life and increased cost of treatment. The reasons why some patients develop antibodies to factor replacement and others do not remain unclear. It is however clear that inhibitor development results from a complex multifactorial interaction between genetic and non-genetic risk factors. Environmental influences implicated in increasing the risk of inhibitor formation can be viewed as modifiable risk factors. Therefore, identification of the non-genetic risk factors may offer the possibility of personalising haemophilia therapy by modifying treatment strategies in high-risk patients in the critical early phase of factor VIII exposure. In this article, we review the non-genetic factors reported as well as the potential impact of danger signals and the different scores for inhibitor development risk stratification.

  5. Genetically at-risk status and individual agency. A qualitative study on asymptomatic women living with genetic risk of breast/ovarian cancer.

    PubMed

    Caiata-Zufferey, Maria

    2015-05-01

    For the last 20 years, genetic tests have allowed unaffected women to determine whether they are predisposed to developing breast/ovarian cancer due to BRCA1/2 gene mutations. In the event of adverse results, women receive a specific label associated with a set of medical recommendations: the genetically at-risk status. This qualitative study adopted a life-course perspective to understand the impact of this status on women's agency. Following a grounded theory design, retrospective biographical interviews were conducted in Switzerland between 2011 and 2013 with 32 unaffected women at risk of developing genetic breast/ovarian cancer and aware of their predisposition for at least three years. The results show that the genetically at-risk status conveys an invitation to transform health into a project, i.e., into a set of planned activities realized in collaboration with the medical system in order to reduce the risk of developing cancer. This health project shapes women's agency in three ways: it enhances, constrains and questions it, thus creating a sense of disorientation about what is considered rational and appropriate in terms of genetic risk management. Based on these findings, the paper concludes by stressing the paradoxes of the genetically at-risk status and the limits of the medical system in managing women designated with it. The paper also suggests that because of the disorientation intrinsic to their situation, genetically at-risk women have to reflexively construct their own health project from a range of available options in ways that are coherent and viable for themselves and their significant others. This process of reflexive construction may be called legitimation.

  6. Combining genetic mapping with genome-wide expression in experimental autoimmune encephalomyelitis highlights a gene network enriched for T cell functions and candidate genes regulating autoimmunity

    PubMed Central

    Thessen Hedreul, Melanie; Möller, Steffen; Stridh, Pernilla; Gupta, Yask; Gillett, Alan; Daniel Beyeen, Amennai; Öckinger, Johan; Flytzani, Sevasti; Diez, Margarita; Olsson, Tomas; Jagodic, Maja

    2013-01-01

    The experimental autoimmune encephalomyelitis (EAE) is an autoimmune disease of the central nervous system commonly used to study multiple sclerosis (MS). We combined clinical EAE phenotypes with genome-wide expression profiling in spleens from 150 backcross rats between susceptible DA and resistant PVG rat strains during the chronic EAE phase. This enabled correlation of transcripts with genotypes, other transcripts and clinical EAE phenotypes and implicated potential genetic causes and pathways in EAE. We detected 2285 expression quantitative trait loci (eQTLs). Sixty out of 599 cis-eQTLs overlapped well-known EAE QTLs and constitute positional candidate genes, including Ifit1 (Eae7), Atg7 (Eae20-22), Klrc3 (eEae22) and Mfsd4 (Eae17). A trans-eQTL that overlaps Eae23a regulated a large number of small RNAs and implicates a master regulator of transcription. We defined several disease-correlated networks enriched for pathways involved in cell-mediated immunity. They include C-type lectins, G protein coupled receptors, mitogen-activated protein kinases, transmembrane proteins, suppressors of transcription (Jundp2 and Nr1d1) and STAT transcription factors (Stat4) involved in interferon signaling. The most significant network was enriched for T cell functions, similar to genetic findings in MS, and revealed both established and novel gene interactions. Transcripts in the network have been associated with T cell proliferation and differentiation, the TCR signaling and regulation of regulatory T cells. A number of network genes and their family members have been associated with MS and/or other autoimmune diseases. Combining disease and genome-wide expression phenotypes provides a link between disease risk genes and distinct molecular pathways that are dysregulated during chronic autoimmune inflammation. PMID:23900079

  7. Predicting stroke through genetic risk functions: The CHARGE risk score project

    PubMed Central

    Ibrahim-Verbaas, Carla A; Fornage, Myriam; Bis, Joshua C; Choi, Seung Hoan; Psaty, Bruce M; Meigs, James B; Rao, Madhu; Nalls, Mike; Fontes, Joao D; O’Donnell, Christopher J.; Kathiresan, Sekar; Ehret, Georg B.; Fox, Caroline S; Malik, Rainer; Dichgans, Martin; Schmidt, Helena; Lahti, Jari; Heckbert, Susan R; Lumley, Thomas; Rice, Kenneth; Rotter, Jerome I; Taylor, Kent D; Folsom, Aaron R; Boerwinkle, Eric; Rosamond, Wayne D; Shahar, Eyal; Gottesman, Rebecca F.; Koudstaal, Peter J; Amin, Najaf; Wieberdink, Renske G.; Dehghan, Abbas; Hofman, Albert; Uitterlinden, André G; DeStefano, Anita L.; Debette, Stephanie; Xue, Luting; Beiser, Alexa; Wolf, Philip A.; DeCarli, Charles; Ikram, M. Arfan; Seshadri, Sudha; Mosley, Thomas H; Longstreth, WT; van Duijn, Cornelia M; Launer, Lenore J

    2014-01-01

    Background and Purpose Beyond the Framingham Stroke Risk Score (FSRS), prediction of future stroke may improve with a genetic risk score (GRS) based on Single nucleotide polymorphisms (SNPs) associated with stroke and its risk factors. Methods The study includes four population-based cohorts with 2,047 first incident strokes from 22,720 initially stroke-free European origin participants aged 55 years and older, who were followed for up to 20 years. GRS were constructed with 324 SNPs implicated in stroke and 9 risk factors. The association of the GRS to first incident stroke was tested using Cox regression; the GRS predictive properties were assessed with Area under the curve (AUC) statistics comparing the GRS to age sex, and FSRS models, and with reclassification statistics. These analyses were performed per cohort and in a meta-analysis of pooled data. Replication was sought in a case-control study of ischemic stroke (IS). Results In the meta-analysis, adding the GRS to the FSRS, age and sex model resulted in a significant improvement in discrimination (All stroke: Δjoint AUC =0.016, p-value=2.3*10-6; IS: Δ joint AUC =0.021, p-value=3.7*10−7), although the overall AUC remained low. In all studies there was a highly significantly improved net reclassification index (p-values <10−4). Conclusions The SNPs associated with stroke and its risk factors result only in a small improvement in prediction of future stroke compared to the classical epidemiological risk factors for stroke. PMID:24436238

  8. Genetic predisposition to higher blood pressure increases risk of incident hypertension and cardiovascular diseases in Chinese.

    PubMed

    Lu, Xiangfeng; Huang, Jianfeng; Wang, Laiyuan; Chen, Shufeng; Yang, Xueli; Li, Jianxin; Cao, Jie; Chen, Jichun; Li, Ying; Zhao, Liancheng; Li, Hongfan; Liu, Fangcao; Huang, Chen; Shen, Chong; Shen, Jinjin; Yu, Ling; Xu, Lihua; Mu, Jianjun; Wu, Xianping; Ji, Xu; Guo, Dongshuang; Zhou, Zhengyuan; Yang, Zili; Wang, Renping; Yang, Jun; Yan, Weili; Gu, Dongfeng

    2015-10-01

    Although multiple genetic markers associated with blood pressure have been identified by genome-wide association studies, their aggregate effect on risk of incident hypertension and cardiovascular disease is uncertain, particularly among East Asian who may have different genetic and environmental exposures from Europeans. We aimed to examine the association between genetic predisposition to higher blood pressure and risk of incident hypertension and cardiovascular disease in 26 262 individuals in 2 Chinese population-based prospective cohorts. A genetic risk score was calculated based on 22 established variants for blood pressure in East Asian. We found the genetic risk score was significantly and independently associated with linear increases in blood pressure and risk of incident hypertension and cardiovascular disease (P range from 4.57×10(-3) to 3.10×10(-6)). In analyses adjusted for traditional risk factors including blood pressure, individuals carrying most blood pressure-related risk alleles (top quintile of genetic score distribution) had 40% (95% confidence interval, 18-66) and 26% (6-45) increased risk for incident hypertension and cardiovascular disease, respectively, when compared with individuals in the bottom quintile. The genetic risk score also significantly improved discrimination for incident hypertension and cardiovascular disease and led to modest improvements in risk reclassification for cardiovascular disease (all the P<0.05). Our data indicate that genetic predisposition to higher blood pressure is an independent risk factor for blood pressure increase and incident hypertension and cardiovascular disease and provides modest incremental information to cardiovascular disease risk prediction. The potential clinical use of this panel of blood pressure-associated polymorphisms remains to be determined.

  9. Genetic Risk by Experience Interaction for Childhood Internalizing Problems: Converging Evidence across Multiple Methods

    PubMed Central

    Vendlinski, Matthew K.; Lemery-Chalfant, Kathryn; Essex, Marilyn J.; Goldsmith, H. Hill

    2010-01-01

    Background Identifying how genetic risk interacts with experience to predict psychopathology is an important step toward understanding the etiology of mental health problems. Few studies have examined genetic risk by experience interaction (GxE) in the development of childhood psychopathology. Methods We used both co-twin and parent mental health as markers of genetic risk to test whether GxE predicted internalizing problems in a sample of 8-year-old twins. Multi-instrument composites were used to characterize both parent and child psychopathology, and five experiential risk factors (socioeconomic status, single parent upbringing, negative parent-child interactions, number of negative life events, negative impact of negative life events) composed a cumulative risk index. Results We found consistent evidence for GxE for child internalizing problems, with significant interaction effects emerging both when genetic risk was indexed by co-twin mental health and when it was based on parent mental health. When co-twin mental health was used to estimate genetic risk, child internalizing problems were more heritable for children at low rather than high experiential risk. When parent mental health was used to estimate genetic risk, the association between genetic risk and internalizing problems was stronger for children at elevated experiential risk. Consideration of the interaction effect sizes helps to reconcile these findings. Conclusions Our results suggest that the processes involved in both diathesis-stress and bioecological models of development may operate for child internalizing problems. Effect sizes indicated that the main effects of genetic and experiential risk were much better predictors of child internalizing problems than was their interaction. PMID:21198591

  10. Association of genetic and non-genetic risk factors with the development of prostate cancer in Malaysian men.

    PubMed

    Munretnam, Khamsigan; Alex, Livy; Ramzi, Nurul Hanis; Chahil, Jagdish Kaur; Kavitha, I S; Hashim, Nikman Adli Nor; Lye, Say Hean; Velapasamy, Sharmila; Ler, Lian Wee

    2014-01-01

    There is growing global interest to stratify men into different levels of risk to developing prostate cancer, thus it is important to identify common genetic variants that confer the risk. Although many studies have identified more than a dozen common genetic variants which are highly associated with prostate cancer, none have been done in Malaysian population. To determine the association of such variants in Malaysian men with prostate cancer, we evaluated a panel of 768 SNPs found previously associated with various cancers which also included the prostate specific SNPs in a population based case control study (51 case subjects with prostate cancer and 51 control subjects) in Malaysian men of Malay, Chinese and Indian ethnicity. We identified 21 SNPs significantly associated with prostate cancer. Among these, 12 SNPs were strongly associated with increased risk of prostate cancer while remaining nine SNPs were associated with reduced risk. However, data analysis based on ethnic stratification led to only five SNPs in Malays and 3 SNPs in Chinese which remained significant. This could be due to small sample size in each ethnic group. Significant non-genetic risk factors were also identified for their association with prostate cancer. Our study is the first to investigate the involvement of multiple variants towards susceptibility for PC in Malaysian men using genotyping approach. Identified SNPs and non-genetic risk factors have a significant association with prostate cancer.

  11. Genetic counselling in multiple sclerosis: risks to sibs and children of affected individuals.

    PubMed

    Sadovnick, A D; Dircks, A; Ebers, G C

    1999-08-01

    Genetic factors are recognized as having important roles in both the overall etiology and the familial aggregation of multiple sclerosis (MS), leading to increased requests for genetic counselling. This paper is designed to provide familial risk data in a practical format for use during genetic counselling for MS. Depending on the amount of genetic sharing among family members, the relative risk of MS compared with that for the general population can range from 1 (adopted sibs and children of the MS proband, with whom they share no genetic material) to 190 (monozygotic co-twins of MS patients, with whom they share 100% of their genetic material). When counselling full sibs of MS patients, risks can be better calculated if information is available on the age of MS onset in the patient and whether or not one parent has MS.

  12. Hereditary breast cancer: an update on risk assessment and genetic testing in 2015.

    PubMed

    Stuckey, Ashley R; Onstad, Michaela A

    2015-08-01

    The last 5 years have brought significant innovation and advancement in the genetics of breast cancer. This clinical opinion aims to summarize and update current approaches to the care of women at risk for a hereditary predisposition to breast cancer. Implications of the BRCA mutation and several other hereditary syndromes will be discussed. Risk assessment and criteria for referral to cancer genetic professionals as well as high-risk screening and prophylactic options will be reviewed. Finally, the newly available genetic cancer panels and implications of mutations in some of these lesser known genes will be discussed. As the field of cancer genetics continues to evolve, the education of medical students, residents, and faculty will be paramount to identify appropriate candidates for genetic counseling and testing in conjunction with cancer genetic professionals.

  13. Issues of concern in risk assessment, genetic counseling, and genetic testing of younger breast cancer patients in Japan.

    PubMed

    Bando, Hiroko

    2014-11-01

    About 5-10 % of breast cancer cases are considered to be hereditary, and germ line mutations in the BRCA1 and BRCA2 genes have been proven to contribute to the development of hereditary breast and/or ovarian cancer syndrome (HBOC). Breast cancer diagnosed at a young age is an indication of a higher likelihood of HBOC. Risk assessment, genetic counseling, and BRCA1/BRCA2 mutation testing, especially for younger women with breast cancer, have started to be an integral element of practice due to advances in gene sequencing technologies and accumulating evidence for the clinical implications of BRCA mutation status for not only early breast cancer management, but also for the patient's own and their family's next cancer risk, and proactive steps toward a risk-reducing approach. As yet, the cancer genetic service system is immature in Japan. There are several problems to be solved to improve cancer genetic services in clinical practice for breast cancer.

  14. Risk assessment, genetic counseling, and clinical care for hereditary breast cancer.

    PubMed

    Powers, Jacquelyn; Stopfer, Jill Elise

    2014-01-01

    During the last 30 years, key advances in the field of cancer genetics have improved identification of high-risk families in which cancer risk can be linked to mutations in cancer susceptible genes. Identification of individuals with heritable cancer risk may influence short- and long-term medical management issues. Heightened screening and risk reducing options can offer lifesaving interventions for the woman and family members who are at risk.

  15. Linking genetic and environmental factors in amphibian disease risk

    PubMed Central

    Savage, Anna E; Becker, Carlos G; Zamudio, Kelly R

    2015-01-01

    A central question in evolutionary biology is how interactions between organisms and the environment shape genetic differentiation. The pathogen Batrachochytrium dendrobatidis (Bd) has caused variable population declines in the lowland leopard frog (Lithobates yavapaiensis); thus, disease has potentially shaped, or been shaped by, host genetic diversity. Environmental factors can also influence both amphibian immunity and Bd virulence, confounding our ability to assess the genetic effects on disease dynamics. Here, we used genetics, pathogen dynamics, and environmental data to characterize L. yavapaiensis populations, estimate migration, and determine relative contributions of genetic and environmental factors in predicting Bd dynamics. We found that the two uninfected populations belonged to a single genetic deme, whereas each infected population was genetically unique. We detected an outlier locus that deviated from neutral expectations and was significantly correlated with mortality within populations. Across populations, only environmental variables predicted infection intensity, whereas environment and genetics predicted infection prevalence, and genetic diversity alone predicted mortality. At one locality with geothermally elevated water temperatures, migration estimates revealed source–sink dynamics that have likely prevented local adaptation. We conclude that integrating genetic and environmental variation among populations provides a better understanding of Bd spatial epidemiology, generating more effective conservation management strategies for mitigating amphibian declines. PMID:26136822

  16. Pathways and barriers to genetic testing and screening: Molecular genetics meets the high-risk family. Final report

    SciTech Connect

    Duster, T.

    1998-11-01

    The proliferation of genetic screening and testing is requiring increasing numbers of Americans to integrate genetic knowledge and interventions into their family life and personal experience. This study examines the social processes that occur as families at risk for two of the most common autosomal recessive diseases, sickle cell disease (SC) and cystic fibrosis (CF), encounter genetic testing. Each of these diseases is found primarily in a different ethnic/racial group (CF in Americans of North European descent and SC in Americans of West African descent). This has permitted them to have a certain additional lens on the role of culture in integrating genetic testing into family life and reproductive planning. A third type of genetic disorder, the thalassemias was added to the sample in order to extent the comparative frame and to include other ethnic and racial groups.

  17. Genetic/familial high-risk assessment: breast and ovarian, version 1.2014.

    PubMed

    Daly, Mary B; Pilarski, Robert; Axilbund, Jennifer E; Buys, Saundra S; Crawford, Beth; Friedman, Susan; Garber, Judy E; Horton, Carolyn; Kaklamani, Virginia; Klein, Catherine; Kohlmann, Wendy; Kurian, Allison; Litton, Jennifer; Madlensky, Lisa; Marcom, P Kelly; Merajver, Sofia D; Offit, Kenneth; Pal, Tuya; Pasche, Boris; Reiser, Gwen; Shannon, Kristen Mahoney; Swisher, Elizabeth; Voian, Nicoleta C; Weitzel, Jeffrey N; Whelan, Alison; Wiesner, Georgia L; Dwyer, Mary A; Kumar, Rashmi

    2014-09-01

    During the past few years, several genetic aberrations that may contribute to increased risks for development of breast and/or ovarian cancers have been identified. The NCCN Guidelines for Genetic/Familial High-Risk Assessment: Breast and Ovarian focus specifically on the assessment of genetic mutations in BRCA1/BRCA2, TP53, and PTEN, and recommend approaches to genetic testing/counseling and management strategies in individuals with these mutations. This portion of the NCCN Guidelines includes recommendations regarding diagnostic criteria and management of patients with Cowden Syndrome/PTEN hamartoma tumor syndrome. PMID:25190698

  18. Type 1 Diabetes Genetic Risk Score: a novel tool to discriminate monogenic and type 1 diabetes

    PubMed Central

    Patel, K A; Oram, R A; Flanagan, S E; De Franco, E; Colclough, K; shepherd, M; Ellard, S

    2016-01-01

    Distinguishing patients with monogenic diabetes from Type 1 diabetes (T1D) is important for correct diagnosis, treatment and to select patients for gene discovery studies. We assessed whether a T1D genetic risk score (T1D-GRS) generated from T1D-associated common genetic variants provides a novel way to discriminate monogenic diabetes from T1D. The T1D-GRS was highly discriminative of proven MODY (n=805) and T1D (n=1963) (ROC-AUC=0.87). A T1D-GRS of >0.280 (>50th T1D centile) was indicative of T1D (94% specificity, 50% sensitivity). We then analyzed the T1D-GRS in 242 White-European patients with neonatal diabetes (NDM) who had been tested for all known neonatal diabetes genes. Monogenic NDM was confirmed in 90%, 59% and 8% in patients with GRS <5th T1D centile, 50-75th T1D centile and >75th T1D centile, respectively. Applying a GRS 50th T1D centile cut-off in 48 NDM patients with no known genetic cause, identified those most likely to have a novel monogenic etiology by highlighting patients with probable early-onset T1D (GRS >50th T1D centile) who were diagnosed later, had less syndromic presentation but had additional autoimmune features compared to proven monogenic NDM. The T1D-GRS is a novel tool to improve the use of biomarkers in the discrimination of monogenic diabetes from T1D. PMID:27207547

  19. Type 1 Diabetes Genetic Risk Score: A Novel Tool to Discriminate Monogenic and Type 1 Diabetes.

    PubMed

    Patel, Kashyap A; Oram, Richard A; Flanagan, Sarah E; De Franco, Elisa; Colclough, Kevin; Shepherd, Maggie; Ellard, Sian; Weedon, Michael N; Hattersley, Andrew T

    2016-07-01

    Distinguishing patients with monogenic diabetes from those with type 1 diabetes (T1D) is important for correct diagnosis, treatment, and selection of patients for gene discovery studies. We assessed whether a T1D genetic risk score (T1D-GRS) generated from T1D-associated common genetic variants provides a novel way to discriminate monogenic diabetes from T1D. The T1D-GRS was highly discriminative of proven maturity-onset diabetes of young (MODY) (n = 805) and T1D (n = 1,963) (receiver operating characteristic area under the curve 0.87). A T1D-GRS of >0.280 (>50th T1D centile) was indicative of T1D (94% specificity, 50% sensitivity). We then analyzed the T1D-GRS of 242 white European patients with neonatal diabetes (NDM) who had been tested for all known NDM genes. Monogenic NDM was confirmed in 90, 59, and 8% of patients with GRS <5th T1D centile, 50-75th T1D centile, and >75th T1D centile, respectively. Applying a GRS 50th T1D centile cutoff in 48 NDM patients with no known genetic cause identified those most likely to have a novel monogenic etiology by highlighting patients with probable early-onset T1D (GRS >50th T1D centile) who were diagnosed later and had less syndromic presentation but additional autoimmune features compared with those with proven monogenic NDM. The T1D-GRS is a novel tool to improve the use of biomarkers in the discrimination of monogenic diabetes from T1D. PMID:27207547

  20. Clinical validity and utility of genetic risk scores in prostate cancer

    PubMed Central

    Helfand, Brian T; Kearns, James; Conran, Carly; Xu, Jianfeng

    2016-01-01

    Current issues related to prostate cancer (PCa) clinical care (e.g., over-screening, over-diagnosis, and over-treatment of nonaggressive PCa) call for risk assessment tools that can be combined with family history (FH) to stratify disease risk among men in the general population. Since 2007, genome-wide association studies (GWASs) have identified more than 100 SNPs associated with PCa susceptibility. In this review, we discuss (1) the validity of these PCa risk-associated SNPs, individually and collectively; (2) the various methods used for measuring the cumulative effect of multiple SNPs, including genetic risk score (GRS); (3) the adequate number of SNPs needed for risk assessment; (4) reclassification of risk based on evolving numbers of SNPs used to calculate genetic risk, (5) risk assessment for men from various racial groups, and (6) the clinical utility of genetic risk assessment. In conclusion, data available to date support the clinical validity of PCa risk-associated SNPs and GRS in risk assessment among men with or without FH. PCa risk-associated SNPs are not intended for diagnostic use; rather, they should be used the same way as FH. Combining GRS and FH can significantly improve the performance of risk assessment. Improved risk assessment may have important clinical utility in targeted PCa testing. However, clinical trials are urgently needed to evaluate this clinical utility as well as the acceptance of GRS by patients and physicians. PMID:27297129

  1. Cancer Genetic Counselor Information Needs for Risk Communication: A Qualitative Evaluation of Interview Transcripts

    PubMed Central

    Overby, Casey Lynnette; Chung, Wendy K.; Hripcsak, George; Kukafka, Rita

    2013-01-01

    Personalized medicine is a model of healthcare that is predictive, personalized, preventive and participatory (“P4 Medicine”). Genetic counselors are an ideal group to study when designing tools to support cancer P4 Medicine activities more broadly. The goal for this work was to gain a better understanding of the information cancer genetic counselors seek from their patients to facilitate effective information exchange for discussing risk. This was an analysis of a qualitative data set from interviews of eight cancer genetic counselors, recruited from three institutions. Genetic counselors at each site were interviewed using a semi-structured, open-ended questionnaire. A selective coding approach was used to determine major themes associated with genetic counseling information needs for communicating risk. We generated a model for understanding categories of genetic counseling information needs to support risk communication activities. Common activities for risk communication included risk assessment and tailoring communication. Categories of information needs included: (a) clinical patient characteristics, (b) social and cognitive patient characteristics and (c) patient motivation and goals for the genetic counseling session. A logical next step is for this model to inform the design of software systems for pre-visit patient planning and delivering just-in-time educational information to facilitate cancer risk communication activities. PMID:24358447

  2. An exposure-weighted score test for genetic associations integrating environmental risk factors.

    PubMed

    Han, Summer S; Rosenberg, Philip S; Ghosh, Arpita; Landi, Maria Teresa; Caporaso, Neil E; Chatterjee, Nilanjan

    2015-09-01

    Current methods for detecting genetic associations lack full consideration of the background effects of environmental exposures. Recently proposed methods to account for environmental exposures have focused on logistic regressions with gene-environment interactions. In this report, we developed a test for genetic association, encompassing a broad range of risk models, including linear, logistic and probit, for specifying joint effects of genetic and environmental exposures. We obtained the test statistics by maximizing over a class of score tests, each of which involves modified standard tests of genetic association through a weight function. This weight function reflects the potential heterogeneity of the genetic effects by levels of environmental exposures under a particular model. Simulation studies demonstrate the robust power of these methods for detecting genetic associations under a wide range of scenarios. Applications of these methods are further illustrated using data from genome-wide association studies of type 2 diabetes with body mass index and of lung cancer risk with smoking. PMID:26134142

  3. An exposure-weighted score test for genetic associations integrating environmental risk factors.

    PubMed

    Han, Summer S; Rosenberg, Philip S; Ghosh, Arpita; Landi, Maria Teresa; Caporaso, Neil E; Chatterjee, Nilanjan

    2015-09-01

    Current methods for detecting genetic associations lack full consideration of the background effects of environmental exposures. Recently proposed methods to account for environmental exposures have focused on logistic regressions with gene-environment interactions. In this report, we developed a test for genetic association, encompassing a broad range of risk models, including linear, logistic and probit, for specifying joint effects of genetic and environmental exposures. We obtained the test statistics by maximizing over a class of score tests, each of which involves modified standard tests of genetic association through a weight function. This weight function reflects the potential heterogeneity of the genetic effects by levels of environmental exposures under a particular model. Simulation studies demonstrate the robust power of these methods for detecting genetic associations under a wide range of scenarios. Applications of these methods are further illustrated using data from genome-wide association studies of type 2 diabetes with body mass index and of lung cancer risk with smoking.

  4. DEVELOPMENT OF AQUATIC MODELS FOR TESTING THE RELATIONSHIP BETWEEN GENETIC DIVERSITY AND POPULATION EXTINCTION RISK

    EPA Science Inventory

    The relationship between population adaptive potential and extinction risk in a changing environment is not well understood. Although the expectation is that genetic diversity is directly related to the capacity of populations to adapt, the statistical and predictive aspects of ...

  5. COMPARATIVE EVALUATION OF RISK FACTORS FOR CARDIOVASCULAR DISEASE (CVD) IN GENETICALLY PREDISPOSED RATS

    EPA Science Inventory

    Rodent CVD models are increasingly used for understanding individual differences in susceptibility to environmental stressors such as air pollution. We characterized pathologies and a number of known human risk factors of CVD in genetically predisposed, male young adult Spontaneo...

  6. [Genetic risks of intracytoplasmic sperm injection for male infertility].

    PubMed

    Shao, Fa-Ming; Zhu, Xiao-Bin; Li, Zheng

    2008-01-01

    Recently, intracytoplasmic sperm injection (ICSI) has been extremely successful in the treatment of male infertility. However, the consequent transmission of sperm cytogenetic defects and genetic defects to the offspring has aroused considerable concern. Among infertile men, those with severe spermatogenic defects, including oligozoospermia and azoospermia, are mostly the subjects for ICSI. Therefore it is very important to obtain cytogenetic and chromosomal information on these infertile patients and prevent the inheritance of these genetic defects. This review offers an analysis on the genetic defects among infertile men.

  7. Measurement and Associations of Pregnancy Risk Factors with Genetic Influences, Postnatal Environmental Influences, and Toddler Behavior

    ERIC Educational Resources Information Center

    Marceau, Kristine; Hajal, Nastassia; Leve, Leslie D.; Reiss, David; Shaw, Daniel S.; Ganiban, Jody M.; Mayes, Linda C.; Neiderhiser, Jenae M.

    2013-01-01

    This study demonstrates the unique contributions of perinatal risk and genetic and environmental influences on child behavior using data from 561 domestic US adoption triads (birth mothers, adopted child, and adoptive parents). Findings show distinct patterns of associations among genetic (birth mother psychopathology), prenatal (six maternal…

  8. Reprogenetics, Genetic Tools and Reproductive Risk: Attitudes and Understanding Among Ethnic Groups in Israel.

    PubMed

    Simonstein, Frida; Mashiach-Eizenberg, Michal

    2016-02-01

    The present study investigated a possible relationship between the attitudes toward genetic technologies and the understanding of genetics, reproduction, and reproductive risk among Israeli Arabs and Israeli Jews. The study included 203 respondents, who answered a structured self-report questionnaire. They were recruited using a snowball method, which increased the participation of Israeli Arabs in the sample, although the sample was not representative of the Israeli population as a whole (there were more Arabs and fewer men). The respondents in this study expressed a positive attitude toward genetic technologies, but were less in favor of using genetic tools for non-medical purposes. Respondents of both groups were not knowledgeable of genetics; however, they scored higher on the items related to reproductive risk, which suggests that some awareness about genetic risk exists in both sectors of the Israeli population. Nevertheless, Israeli Arabs were less positive than Israeli Jews regarding the application of genetic tools. Moreover, although an understanding of genetics correlated positively with the attitude among Arabs, it did not affect the attitude of Jews, who remained very positive, regardless of their level of understanding. This result suggests that other social and cultural factors, besides understanding, might be at work among these two major ethnic sectors. Further studies that integrate educational, social, and cultural aspects among ethnic sectors of the population are required to improve health services and genetic counselling in Israel and in other countries. PMID:26051269

  9. Incorporating ethnicity into genetic risk assessment for Alzheimer disease: the REVEAL study experience

    PubMed Central

    Christensen, Kurt D.; Roberts, J. Scott; Royal, Charmaine D. M.; Fasaye, Grace-Ann; Obisesan, Thomas; Cupples, L. Adrienne; Whitehouse, Peter J.; Butson, Melissa Barber; Linnenbringer, Erin; Relkin, Norman R.; Farrer, Lindsay; Cook-Deegan, Robert; Green, Robert C.

    2008-01-01

    Purpose To describe how investigators in a multisite randomized clinical trial addressed scientific and ethical issues involved in creating risk models based on genetic testing for African American participants. Methods The following informed our decision whether to stratify risk assessment by ethnicity: evaluation of epidemiological data, appraisal of benefits and risks of incorporating ethnicity into calculations, and feasibility of creating ethnicity-specific risk curves. Once the decision was made, risk curves were created based on data from a large, diverse study of first-degree relatives of patients with Alzheimer disease. Results Review of epidemiological data suggested notable differences in risk between African Americans and whites and that Apolipoprotein E genotype predicts risk in both groups. Discussions about the benefits and risks of stratified risk assessments reached consensus that estimates based on data from whites should not preclude enrolling African Americans, but population-specific risk curves should be created if feasible. Risk models specific to ethnicity, gender, and Apolipoprotein E genotype were subsequently developed for the randomized clinical trial that oversampled African Americans. Conclusion The Risk Evaluation and Education for Alzheimer Disease study provides an instructive example of a process to develop risk assessment protocols that are sensitive to the implications of genetic testing for multiple ethnic groups with differing levels of risk. PMID:18344711

  10. Imaging-Genetics in Dyslexia: Connecting risk genetic variants to brain neuroimaging and ultimately to reading impairments

    PubMed Central

    Eicher, John D.; Gruen, Jeffrey R.

    2013-01-01

    Dyslexia is a common pediatric disorder that affects 5-17% of schoolchildren in the United States. It is marked by unexpected difficulties in fluent reading despite adequate intelligence, opportunity, and instruction. Classically, neuropsychologists have studied dyslexia using a variety of neurocognitive batteries to gain insight into the specific deficits and impairments in affected children. Since dyslexia is a complex genetic trait with high heritability, analyses conditioned on performance on these neurocognitive batteries have been used to try to identify associated genes. This has led to some successes in identifying contributing genes, although much of the heritability remains unexplained. Additionally, the lack of relevant human brain tissue for analysis and the challenges of modeling a uniquely human trait in animals are barriers to advancing our knowledge of the underlying pathophysiology. In vivo imaging technologies, however, present new opportunities to examine dyslexia and reading skills in a clearly relevant context in human subjects. Recent investigations have started to integrate these imaging data with genetic data in attempts to gain a more complete and complex understanding of reading processes. In addition to bridging the gap from genetic risk variant to a discernible neuroimaging phenotype and ultimately to the clinical impairments in reading performance, the use of neuroimaging phenotypes will reveal novel risk genes and variants. In this article, we briefly discuss the genetic and imaging investigations and take an in-depth look at the recent imaging-genetics investigations of dyslexia. PMID:23916419

  11. Possible modification of Alzheimer's disease by statins in midlife: interactions with genetic and non-genetic risk factors.

    PubMed

    Shinohara, Mitsuru; Sato, Naoyuki; Shimamura, Munehisa; Kurinami, Hitomi; Hamasaki, Toshimitsu; Chatterjee, Amarnath; Rakugi, Hiromi; Morishita, Ryuichi

    2014-01-01

    The benefits of statins, commonly prescribed for hypercholesterolemia, in treating Alzheimer's disease (AD) have not yet been fully established. A recent randomized clinical trial did not show any therapeutic effects of two statins on cognitive function in AD. Interestingly, however, the results of the Rotterdam study, one of the largest prospective cohort studies, showed reduced risk of AD in statin users. Based on the current understanding of statin actions and AD pathogenesis, it is still worth exploring whether statins can prevent AD when administered decades before the onset of AD or from midlife. This review discusses the possible beneficial effects of statins, drawn from previous clinical observations, pathogenic mechanisms, which include β-amyloid (Aβ) and tau metabolism, genetic and non-genetic risk factors (apolipoprotein E, cholesterol, sex, hypertension, and diabetes), and other clinical features (vascular dysfunction and oxidative and inflammatory stress) of AD. These findings suggest that administration of statins in midlife might prevent AD in late life by modifying genetic and non-genetic risk factors for AD. It should be clarified whether statins inhibit Aβ accumulation, tau pathological features, and brain atrophy in humans. To answer this question, a randomized controlled study using amyloid positron emission tomography (PET), tau-PET, and magnetic resonance imaging would be useful. This clinical evaluation could help us to overcome this devastating disease.

  12. Genetic determinants of breast cancer risk: a review of current literature and issues pertaining to clinical application.

    PubMed

    Njiaju, Uchenna O; Olopade, Olufunmilayo I

    2012-09-01

    Despite major advances in breast cancer therapy, annual mortality remains significant with a sizeable proportion of patients eventually succumbing to metastatic disease. Clearly, optimizing approaches for identification and management of women at heightened risk for breast cancer will reduce overall morbidity and mortality from the disease. Over the past few decades, advances in molecular genetics and linkage analyses have allowed for the identification of specific germline mutations underlying a significant fraction of hereditary breast cancer. Genome-wide association studies have been developed as a powerful tool in identifying lower penetrance mutations, and it is believed that such genome-level variations may act in concert to give rise to the majority of inherited breast cancer risk. Controversies and uncertainties remain in clinical application of newly identified genomic loci that confer genetic susceptibility. This article reviews the well-characterized breast cancer susceptibility genes, highlights recent publications pertaining to the less well known and lower penetrance genetic polymorphisms, summarizes challenges in translating research findings to the clinical scenario, and offers some recommendations for clinical practice.

  13. Transgenerational genetic effects on phenotypic variation and disease risk.

    PubMed

    Nadeau, Joseph H

    2009-10-15

    Traditionally, we understand that individual phenotypes result primarily from inherited genetic variants together with environmental exposures. However, many studies showed that a remarkable variety of factors including environmental agents, parental behaviors, maternal physiology, xenobiotics, nutritional supplements and others lead to epigenetic changes that can be transmitted to subsequent generations without continued exposure. Recent discoveries show transgenerational epistasis and transgenerational genetic effects where genetic factors in one generation affect phenotypes in subsequent generation without inheritance of the genetic variant in the parents. Together these discoveries implicate a key signaling pathway, chromatin remodeling, methylation, RNA editing and microRNA biology. This exceptional mode of inheritance complicates the search for disease genes and represents perhaps an adaptation to transmit useful gene expression profiles from one generation to the next. In this review, I present evidence for these transgenerational genetic effects, identify their common features, propose a heuristic model to guide the search for mechanisms, discuss the implications, and pose questions whose answers will begin to reveal the underlying mechanisms.

  14. Systems Genetic Analyses Highlight a TGFβ-FOXO3 Dependent Striatal Astrocyte Network Conserved across Species and Associated with Stress, Sleep, and Huntington’s Disease

    PubMed Central

    Scarpa, Joseph R.; Jiang, Peng; Losic, Bojan; Readhead, Ben; Dudley, Joel T.; Vitaterna, Martha H.; Turek, Fred W.

    2016-01-01

    Recent systems-based analyses have demonstrated that sleep and stress traits emerge from shared genetic and transcriptional networks, and clinical work has elucidated the emergence of sleep dysfunction and stress susceptibility as early symptoms of Huntington's disease. Understanding the biological bases of these early non-motor symptoms may reveal therapeutic targets that prevent disease onset or slow disease progression, but the molecular mechanisms underlying this complex clinical presentation remain largely unknown. In the present work, we specifically examine the relationship between these psychiatric traits and Huntington's disease (HD) by identifying striatal transcriptional networks shared by HD, stress, and sleep phenotypes. First, we utilize a systems-based approach to examine a large publicly available human transcriptomic dataset for HD (GSE3790 from GEO) in a novel way. We use weighted gene coexpression network analysis and differential connectivity analyses to identify transcriptional networks dysregulated in HD, and we use an unbiased ranking scheme that leverages both gene- and network-level information to identify a novel astrocyte-specific network as most relevant to HD caudate. We validate this result in an independent HD cohort. Next, we computationally predict FOXO3 as a regulator of this network, and use multiple publicly available in vitro and in vivo experimental datasets to validate that this astrocyte HD network is downstream of a signaling pathway important in adult neurogenesis (TGFβ-FOXO3). We also map this HD-relevant caudate subnetwork to striatal transcriptional networks in a large (n = 100) chronically stressed (B6xA/J)F2 mouse population that has been extensively phenotyped (328 stress- and sleep-related measurements), and we show that this striatal astrocyte network is correlated to sleep and stress traits, many of which are known to be altered in HD cohorts. We identify causal regulators of this network through Bayesian network

  15. [Genetically modified organisms in food--production, detection and risks].

    PubMed

    Zeljezić, Davor

    2004-11-01

    The first genetically modified plant (GMP) was a tobacco resistant to antibiotics in 1983. In 1996, the first genetically altered crop, a delayed-ripening tomato was commercially released. In the year 2003, the estimated global area of GM crops for was 67.7 million hectares. To produce such a plant a gene of interest has to be isolated from the donor. Together with a promoter, terminator sequence and marker gene it has to be introduced into the plant cell which is then stimulated to generate a whole GMP expressing new characteristics (herbicide/insect resistance, delayed ripening). The last few months have seen a strong public debate over genetically modified organisms which has raised scientific, economic, political, and ethical issues. Some questions concerning the safety of GMPs are still to be answered, and decisions about their future should be based on scientifically validated information.

  16. Plant Oils and Cardiometabolic Risk Factors: The Role of Genetics.

    PubMed

    Smith, Caren E

    2012-09-01

    More than 25 years have passed since Ancel Keys and others observed that high intake of monounsaturated fatty acids, especially as supplied by plants (eg, olive oil) was associated with lower cardiovascular and overall mortality. About 15 years later, advances in genotyping technologies began to facilitate widespread study of relationships between dietary fats and genetic variants, illuminating the role of genetic variation in modulating human responses to fatty acids. More recently, microarray technologies evaluate the ways in which minor, bioactive compounds in plant oils (including olive, thyme, lemongrass, clove, eucalyptus, and others) alter gene expression to mediate anti-inflammatory and antioxidant effects. Results from a range of diverse technologies and approaches are coalescing to improve understanding of the role of the genome in shaping our responses to plant oils, and to clarify the genetic mechanisms underlying the cardioprotective benefits we derive from a wide range of plant oil constituents. PMID:23001455

  17. Genetic Association Studies in Uterine Fibroids: Risk Alleles Presage the Path to Personalized Therapies.

    PubMed

    Gallagher, C Scott; Morton, Cynthia C

    2016-07-01

    Uterine leiomyoma (UL) is the most common tumor of the female reproductive system. Epidemiological analyses, including familial aggregation, twin studies, and racial discrepancies in disease prevalence and morbidity, indicated genetic factors influence risk for developing UL. Genome-wide association studies (GWASs) are a powerful method for identifying genetic variants that are associated with elevated risk for a common, complex disease. To date, three genome-wide scans for UL have been performed: a GWAS in Japanese women, a genome-wide linkage and association study in women of European decent, and an admixture-based analysis in African American women. Results from each of the three genome-wide scans performed have had varying success in identifying unique loci associated with predisposition to developing UL. Here, we address the evidence for a genetic basis for UL risk, discuss genetic association studies and their results, and identify challenges and future directions for UL GWAS analyses. PMID:27513025

  18. The potential of large studies for building genetic risk prediction models

    Cancer.gov

    NCI scientists have developed a new paradigm to assess hereditary risk prediction in common diseases, such as prostate cancer. This genetic risk prediction concept is based on polygenic analysis—the study of a group of common DNA sequences, known as singl

  19. Common genetic loci influencing plasma homocysteine concentrations and their effect on risk of coronary artery disease

    Technology Transfer Automated Retrieval System (TEKTRAN)

    The strong observational association between total homocysteine (tHcy) concentrations and risk of coronary artery disease (CAD) and the null associations in the homocysteine-lowering trials have prompted the need to identify genetic variants associated with homocysteine concentrations and risk of CA...

  20. Comparison of the incidence of pathogenic and antibiotic-resistant Escherichia coli strains in adult cattle and veal calf slaughterhouse effluents highlighted different risks for public health.

    PubMed

    Um, Maryse Michèle; Barraud, Olivier; Kérourédan, Monique; Gaschet, Margaux; Stalder, Thibault; Oswald, Eric; Dagot, Christophe; Ploy, Marie-Cecile; Brugère, Hubert; Bibbal, Delphine

    2016-01-01

    The goal of this study was to investigate the involvement of bovine slaughterhouse effluents and biosolids in the risk of environmental dissemination of pathogenic and antibiotic-resistant Escherichia coli. Several samples were collected from one adult cattle and one veal calf slaughterhouse wastewater treatment plant (WWTP). The treatment process had no impact on the percentage of Shiga toxin-producing E. coli (STEC) and on the percentage of atypical enteropathogenic E. coli (aEPEC). A STEC O157:H7 was isolated from the thickened sludge of the adult cattle slaughterhouse. As thickened sludge is intended to be spread on agricultural lands, the detection of this pathogenic strain is a public health issue. The percentage of antibiotic-resistant E. coli was 5.0% and 87.5% in wastewater from the adult cattle and the veal calf slaughterhouse, respectively. These percentages were not significantly different after treatment. Integron-bearing E. coli isolates were only detected in the veal calf slaughterhouse WWTP with percentages above 50.0% for all sampling points whatever the step of the treatment process. Taken together, these findings highlighted the fact that different public health risks might be associated with adult cattle or veal calf slaughterhouses regarding the dissemination of pathogenic and antibiotic-resistant E. coli isolates into the environment.

  1. Intentions for risk-reducing surgery among high-risk women referred for BRCA1/BRCA2 genetic counseling

    PubMed Central

    Tong, Angie; Kelly, Scott; Nusbaum, Rachel; Graves, Kristi; Peshkin, Beth N.; Valdimarsdottir, Heiddis B.; Wood, Marie; McKinnon, Wendy; Garber, Judy; McCormick, Shelley R.; Jandorf, Lina; Schwartz, Marc D.

    2014-01-01

    Objective Genetic testing for breast and ovarian cancer susceptibility is now part of routine clinical practice. Although rates of risk-reducing surgery following genetic testing have been increasing, little is known about attitudes toward risk-reducing surgery in women prior to genetic counseling and testing. This study examines correlates of patient intentions to undergo risk-reducing mastectomy (RRM) and risk-reducing oophorectomy (RRO). Methods Participants were 696 women, ages 21–85, who sought breast cancer gene 1 and 2 (BRCA1/2) genetic counseling and had at least a 10% risk of carrying a mutation. The sample included women who were affected with breast or ovarian cancer and unaffected women with a known familial BRCA1/2 mutation. Participants completed a precounseling telephone questionnaire. Results Prior to receiving genetic counseling, 23.3% of participants were considering RRM and 42.5% were considering RRO. Variables that were independently associated with RRM intentions were cancer-specific distress (OR = 1.14, 95% CI = 1.03–1.26), perceived risk of breast cancer (OR = 1.16, 95% CI = 1.05–1.28), education (OR = 1.76, 95% CI = 1.03–2.99), and age (OR = 0.96, 95% CI = 0.95–0.98). Predictors of RRO intentions were perceived risk for ovarian cancer (OR = 1.25, 95% CI = 1.14–1.37), perceived risk of carrying a BRCA1/2 mutation (OR = 1.74, 95% CI = 1.15–2.62), marital status (OR = 1.92, 95% CI = 1.34–2.76), and age (OR = 1.02, 95% CI = 1.00–1.03). Conclusions Because precounseling intentions predict subsequent risk-reducing surgery decisions, this study identified patient factors associated with surgical intentions. These factors reinforce the critical role for pretest genetic counseling in communicating accurate risk estimates and management options, and addressing psychosocial concerns, to facilitate informed decision making regarding RRM and RRO. PMID:24839250

  2. Risk factors of allergic rhinitis: genetic or environmental?

    PubMed Central

    Wang, De-Yun

    2005-01-01

    Allergic diseases such as allergic rhinitis represent a global health problem, affecting 10%–25% of the world population. There is clear evidence to support the concept that allergic diseases are influenced by genetic predisposition and environmental exposure. Polymorphisms of candidate genes have been associated with clinical expression of these diseases. However, characterization of these susceptibility markers in discriminating an “allergic individual” from the general population has not yet been achieved, and the value of how this genetic insight leading to recognition of specific subtypes of these disorders still needs to be confirmed. Environmental factors (eg, air pollution and bacterial/viral infection) also play an important role in the development of the diseases. A number of epidemiologic studies have supported the “hygiene hypothesis”, which is based on the observations that Th1 responses induced by microbial stimulation can counterbalance allergen-induced Th2 responses. Future studies are needed to identify the key genes or their haplotypes for atopic phenotypes and to investigate the interactions between genetic and environmental factors that influence the complex trait of allergic diseases. This will help us to further understand the etiology of the diseases and develop new avenues for genetically oriented diagnosis and more effective measures of prevention and intervention. PMID:18360551

  3. Can genetic risk information enhance motivation for smoking cessation? An analogue study.

    PubMed

    Wright, Alison J; French, David P; Weinman, John; Marteau, Theresa M

    2006-11-01

    Protection motivation theory and the extended parallel processing model are used to predict the motivational impact of information regarding a genetic susceptibility to heart disease. One hundred ninety-eight smokers read 1 of 3 vignettes: gene positive, gene negative, or standard smoking risk information. Analyses examined whether the impact of type of risk information was moderated by smokers' self-efficacy (SE) levels. Key outcomes were intention to quit and intention to attend an information session about quitting. There were significant main effects of SE and of receiving gene-positive risk information on intentions to quit. There was a significant Risk x SE interaction on intentions to attend an information session. SE was not associated with intentions to attend the information session for smokers in the gene-positive group. Intentions to attend the session were negatively associated with SE for smokers in the lower risk groups. Implications for using genetic risk information to motivate smoking cessation are discussed.

  4. A comprehensive genetic approach for improving prediction of skin cancer risk in humans.

    PubMed

    Vazquez, Ana I; de los Campos, Gustavo; Klimentidis, Yann C; Rosa, Guilherme J M; Gianola, Daniel; Yi, Nengjun; Allison, David B

    2012-12-01

    Prediction of genetic risk for disease is needed for preventive and personalized medicine. Genome-wide association studies have found unprecedented numbers of variants associated with complex human traits and diseases. However, these variants explain only a small proportion of genetic risk. Mounting evidence suggests that many traits, relevant to public health, are affected by large numbers of small-effect genes and that prediction of genetic risk to those traits and diseases could be improved by incorporating large numbers of markers into whole-genome prediction (WGP) models. We developed a WGP model incorporating thousands of markers for prediction of skin cancer risk in humans. We also considered other ways of incorporating genetic information into prediction models, such as family history or ancestry (using principal components, PCs, of informative markers). Prediction accuracy was evaluated using the area under the receiver operating characteristic curve (AUC) estimated in a cross-validation. Incorporation of genetic information (i.e., familial relationships, PCs, or WGP) yielded a significant increase in prediction accuracy: from an AUC of 0.53 for a baseline model that accounted for nongenetic covariates to AUCs of 0.58 (pedigree), 0.62 (PCs), and 0.64 (WGP). In summary, prediction of skin cancer risk could be improved by considering genetic information and using a large number of single-nucleotide polymorphisms (SNPs) in a WGP model, which allows for the detection of patterns of genetic risk that are above and beyond those that can be captured using family history. We discuss avenues for improving prediction accuracy and speculate on the possible use of WGP to prospectively identify individuals at high risk.

  5. eNOS Genetic Polymorphisms and Cancer Risk

    PubMed Central

    Gao, Xueren; Wang, Jie; Wang, Wenjun; Wang, Mingxi; Zhang, Jianqiong

    2015-01-01

    Abstract The association between endothelial nitric oxide synthase (eNOS) polymorphisms (intron 4a/b, -786T>C and 894G>T) and cancer risk remains elusive. In addition, no studies focused on their associations with the risk of breast cancer in Chinese Han population. Thus, a meta-analysis was conducted to determine the relationship between eNOS polymorphisms and cancer risk, and then a case–control study in Chinese Han population was performed to assess their associations with breast cancer susceptibility. Odds ratios (ORs) with 95% confidence intervals (CIs) were used to assess the strength of association. The pooled analysis indicated that eNOS intron 4a/b and -786T>C polymorphisms were significantly associated with an increased risk of overall cancer. In subgroup analyses based on cancer type, the significant association was found between eNOS intron 4a/b polymorphism and prostate cancer risk, eNOS -786T>C polymorphism and risk of prostate, bladder and breast cancers, and eNOS 894G>T polymorphism and breast cancer risk. In subgroup analyses based on ethnicity, eNOS intron 4a/b and -786T>C polymorphisms were associated with an increased risk of cancer in Caucasians. In consistent with our meta-analysis results, a case–control study in Chinese Han population showed significant associations of eNOS -786T>C and 894G>T polymorphisms with the increased risk of breast cancer. In addition, stratified analyses based on pathological type showed that eNOS 894G>T polymorphism was only associated with the risk of infiltrative ductal carcinoma. Stratified analyses by tumor stage showed that eNOS -786T>C polymorphism was only associated with the risk of tumor stage III and IV. In conclusion, our meta-analysis and case–control study suggest that eNOS -786T>C and 894G>T polymorphisms are associated with the increased risk of breast cancer. PMID:26131841

  6. Ethical issues in genetics.

    PubMed

    Shannon, T A

    1999-03-01

    The first section of the Notes on Moral Theology reviews ethical issues in genetics through the lenses of privacy-confidentiality; risk-benefit analysis in relation to prenatal diagnosis and gene therapy; and freedom-determinism/human dignity in the context of cloning. The author provides an overview of developments in genetics and highlights thematic issues common to these developments.

  7. Association between genetic risk scoring for schizophrenia and bipolar disorder with regional subcortical volumes.

    PubMed

    Caseras, X; Tansey, K E; Foley, S; Linden, D

    2015-01-01

    Previous research has shown coincident abnormal regional brain volume in patients with schizophrenia (SCZ) and bipolar disorder (BD) compared with controls. Whether these abnormalities are genetically driven or explained by secondary effects of the disorder or environmental factors is unknown. We aimed to investigate the association between genetic risk scoring (GRS) for SCZ and BD with volume of brain areas previously shown to be different between these clinical groups and healthy controls. We obtained subcortical brain volume measures and GRS for SCZ and BD from a sample of 274 healthy volunteers (71.4% females, mean age 24.7 (s.d. 6.9)). Volume of the globus pallidus was associated with the shared GRS between SCZ and BD, and also with the independent GRS for each of these disorders. Volume of the amygdala was associated with the non-shared GRS between SCZ and BD, and with the independent GRS for BD. Our results for volume of the globus pallidus support the idea of SCZ and BD sharing a common underlying neurobiological abnormality associated with a common genetic risk for both these disorders. Results for volume of the amygdala, though, would suggest the existence of a distinct mechanism only associated with genetic risk for BD. Finally, the lack of association between genetic risk and volume of most subcortical structures suggests that the volumetric differences reported in patient-control comparisons may not be genetically driven, but a consequence of the disorder or co-occurring environmental factors. PMID:26645627

  8. Association between genetic risk scoring for schizophrenia and bipolar disorder with regional subcortical volumes

    PubMed Central

    Caseras, X; Tansey, K E; Foley, S; Linden, D

    2015-01-01

    Previous research has shown coincident abnormal regional brain volume in patients with schizophrenia (SCZ) and bipolar disorder (BD) compared with controls. Whether these abnormalities are genetically driven or explained by secondary effects of the disorder or environmental factors is unknown. We aimed to investigate the association between genetic risk scoring (GRS) for SCZ and BD with volume of brain areas previously shown to be different between these clinical groups and healthy controls. We obtained subcortical brain volume measures and GRS for SCZ and BD from a sample of 274 healthy volunteers (71.4% females, mean age 24.7 (s.d. 6.9)). Volume of the globus pallidus was associated with the shared GRS between SCZ and BD, and also with the independent GRS for each of these disorders. Volume of the amygdala was associated with the non-shared GRS between SCZ and BD, and with the independent GRS for BD. Our results for volume of the globus pallidus support the idea of SCZ and BD sharing a common underlying neurobiological abnormality associated with a common genetic risk for both these disorders. Results for volume of the amygdala, though, would suggest the existence of a distinct mechanism only associated with genetic risk for BD. Finally, the lack of association between genetic risk and volume of most subcortical structures suggests that the volumetric differences reported in patient–control comparisons may not be genetically driven, but a consequence of the disorder or co-occurring environmental factors. PMID:26645627

  9. Women's interest in genetic testing for breast cancer risk: the influence of sociodemographics and knowledge.

    PubMed

    Bottorff, Joan L; Ratner, Pamela A; Balneaves, Lynda G; Richardson, Chris G; McCullum, Mary; Hack, Tom; Chalmers, Karen; Buxton, Jane

    2002-01-01

    The objective of this study was to assess women's interest in genetic testing for breast cancer risk. Randomly selected samples of 761 women without breast cancer from the general population of British Columbia, Canada, and 260 women with breast cancer from the provincial cancer registry participated in a telephone survey that assessed interest in genetic testing for breast cancer risk, knowledge of hereditary breast cancer and genetic testing, and sociodemographics. Women with breast cancer did not possess superior knowledge of breast cancer genetics compared with women from the general population. Of the women with breast cancer, 30.8% reported interest in testing or had been tested, compared with 28.5% of women without breast cancer. Controlling for differences in age, education, personal history of breast cancer, and knowledge of genetics, women with at least one relative with breast cancer were 2.3 times more likely to express interest in genetic testing for breast cancer risk than those with no family history. There were significant interactions between breast cancer status and education and between age and knowledge of breast cancer genetics. Women without breast cancer and with a positive family history, who were between 20 and 40 years of age, were most likely to be interested in testing. The women with breast cancer who were interested in testing tended to be approximately 50 years of age, had a positive family history, and had more years of education. Women with a family history of breast cancer, well-educated women with breast cancer, and younger women, particularly those with knowledge of genetic testing, are important target audiences for community-based education on genetic testing for breast cancer risk.

  10. [Genetically modified foods. Advantages and human health risks].

    PubMed

    Filip, Lorena; Miere, Doina; Indrei, L L

    2004-01-01

    One of the most important issue with which the mankind is confronting now is related to the quantitatively as well as qualitatively assurance of the food supply necessary for human species existence. In this context, by means of genetic engineering, modified genetic organisms were obtained. In the first stage, plant crops with high productivity and resistant against diseases and pests were obtained. After that, food products having modified organoleptic properties and high nutrition values were produced. The main problem concerning the long-term consumption of these products is their toxicity, which until now was not confirmed or denied. For this reason, tests are necessary to be made in order to stipulate and prevent these effects. PMID:16004228

  11. [Genetically modified foods. Advantages and human health risks].

    PubMed

    Filip, Lorena; Miere, Doina; Indrei, L L

    2004-01-01

    One of the most important issue with which the mankind is confronting now is related to the quantitatively as well as qualitatively assurance of the food supply necessary for human species existence. In this context, by means of genetic engineering, modified genetic organisms were obtained. In the first stage, plant crops with high productivity and resistant against diseases and pests were obtained. After that, food products having modified organoleptic properties and high nutrition values were produced. The main problem concerning the long-term consumption of these products is their toxicity, which until now was not confirmed or denied. For this reason, tests are necessary to be made in order to stipulate and prevent these effects.

  12. Cost sharing and hereditary cancer risk: predictors of willingness-to-pay for genetic testing.

    PubMed

    Matro, Jennifer M; Ruth, Karen J; Wong, Yu-Ning; McCully, Katen C; Rybak, Christina M; Meropol, Neal J; Hall, Michael J

    2014-12-01

    Increasing use of predictive genetic testing to gauge hereditary cancer risk has been paralleled by rising cost-sharing practices. Little is known about how demographic and psychosocial factors may influence individuals' willingness-to-pay for genetic testing. The Gastrointestinal Tumor Risk Assessment Program Registry includes individuals presenting for genetic risk assessment based on personal/family cancer history. Participants complete a baseline survey assessing cancer history and psychosocial items. Willingness-to-pay items include intention for: genetic testing only if paid by insurance; testing with self-pay; and amount willing-to-pay ($25-$2,000). Multivariable models examined predictors of willingness-to-pay out-of-pocket (versus only if paid by insurance) and willingness-to-pay a smaller versus larger sum (≤$200 vs. ≥$500). All statistical tests are two-sided (α = 0.05). Of 385 evaluable participants, a minority (42%) had a personal cancer history, while 56% had ≥1 first-degree relative with colorectal cancer. Overall, 21.3% were willing to have testing only if paid by insurance, and 78.7% were willing-to-pay. Predictors of willingness-to-pay were: 1) concern for positive result; 2) confidence to control cancer risk; 3) fewer perceived barriers to colorectal cancer screening; 4) benefit of testing to guide screening (all p < 0.05). Subjects willing-to-pay a higher amount were male, more educated, had greater cancer worry, fewer relatives with colorectal cancer, and more positive attitudes toward genetic testing (all p < 0.05). Individuals seeking risk assessment are willing-to-pay out-of-pocket for genetic testing, and anticipate benefits to reducing cancer risk. Identifying factors associated with willingness-to-pay for genetic services is increasingly important as testing is integrated into routine cancer care.

  13. Cost sharing and hereditary cancer risk: Predictors of willingness-to-pay for genetic testing

    PubMed Central

    Matro, Jennifer M.; Ruth, Karen J.; Wong, Yu-Ning; McCully, Katen C.; Rybak, Christina M.; Meropol, Neal J.; Hall, Michael J.

    2015-01-01

    Increasing use of predictive genetic testing to gauge hereditary cancer risk has been paralleled by rising cost-sharing practices. Little is known about how demographic and psychosocial factors may influence individuals’ willingness-to-pay for genetic testing. The Gastrointestinal Tumor Risk Assessment Program Registry includes individuals presenting for genetic risk assessment based on personal/family cancer history. Participants complete a baseline survey assessing cancer history and psychosocial items. Willingness-to-pay items include intention for: genetic testing only if paid by insurance; testing with self-pay; and amount willing-to-pay ($25–$2000). Multivariable models examined predictors of willingness-to-pay out-of-pocket (versus only if paid by insurance) and willingness-to-pay a smaller versus larger sum (≤200 vs. ≥$500). All statistical tests are two-sided (α=0.05). Of 385 evaluable participants, a minority (42%) had a personal cancer history, while 56% had ≥1 first-degree relative with colorectal cancer. Overall, 21.3% were willing to have testing only if paid by insurance, and 78.7% were willing-to-pay. Predictors of willingness-to-pay were: 1) concern for positive result; 2) confidence to control cancer risk; 3) fewer perceived barriers to colorectal cancer screening; 4) benefit of testing to guide screening (all p<0.05). Subjects willing-to-pay a higher amount were male, more educated, had greater cancer worry, fewer relatives with colorectal cancer, and more positive attitudes toward genetic testing (all p<0.05). Individuals seeking risk assessment are willing-to-pay out-of-pocket for genetic testing, and anticipate benefits to reducing cancer risk. Identifying factors associated with willingness-to-pay for genetic services is increasingly important as testing is integrated into routine cancer care. PMID:24794065

  14. Heritability Estimates Identify a Substantial Genetic Contribution to Risk and Outcome of Intracerebral Hemorrhage

    PubMed Central

    Devan, William J.; Falcone, Guido J.; Anderson, Christopher D.; Jagiella, Jeremiasz M.; Schmidt, Helena; Hansen, Björn M.; Jimenez-Conde, Jordi; Giralt-Steinhauer, Eva; Cuadrado-Godia, Elisa; Soriano, Carolina; Ayres, Alison M.; Schwab, Kristin; Kassis, Sylvia Baedorf; Valant, Valerie; Pera, Joanna; Urbanik, Andrzej; Viswanathan, Anand; Rost, Natalia S.; Goldstein, Joshua N.; Freudenberger, Paul; Stögerer, Eva-Maria; Norrving, Bo; Tirschwell, David L.; Selim, Magdy; Brown, Devin L.; Silliman, Scott L.; Worrall, Bradford B.; Meschia, James F.; Kidwell, Chelsea S.; Montaner, Joan; Fernandez-Cadenas, Israel; Delgado, Pilar; Greenberg, Steven M.; Roquer, Jaume; Lindgren, Arne; Slowik, Agnieszka; Schmidt, Reinhold; Woo, Daniel; Rosand, Jonathan; Biffi, Alessandro

    2013-01-01

    Background and Purpose Previous studies suggest that genetic variation plays a substantial role in occurrence and evolution of intracerebral hemorrhage (ICH). Genetic contribution to disease can be determined by calculating heritability using family-based data, but such an approach is impractical for ICH because of lack of large pedigree-based studies. However, a novel analytic tool based on genome-wide data allows heritability estimation from unrelated subjects. We sought to apply this method to provide heritability estimates for ICH risk, severity, and outcome. Methods We analyzed genome-wide genotype data for 791 ICH cases and 876 controls, and determined heritability as the proportion of variation in phenotype attributable to captured genetic variants. Contribution to heritability was separately estimated for the APOE (encoding apolipoprotein E) gene, an established genetic risk factor, and for the rest of the genome. Analyzed phenotypes included ICH risk, admission hematoma volume, and 90-day mortality. Results ICH risk heritability was estimated at 29% (SE, 11%) for non-APOE loci and at 15% (SE, 10%) for APOE. Heritability for 90-day ICH mortality was 41% for non-APOE loci and 10% (SE, 9%) for APOE. Genetic influence on hematoma volume was also substantial: admission volume heritability was estimated at 60% (SE, 70%) for non-APOE loci and at 12% (SE, 4%) for APOE. Conclusions Genetic variation plays a substantial role in ICH risk, outcome, and hematoma volume. Previously reported risk variants account for only a portion of inherited genetic influence on ICH pathophysiology, pointing to additional loci yet to be identified. PMID:23559261

  15. Life insurance and breast cancer risk assessment: adverse selection, genetic testing decisions, and discrimination.

    PubMed

    Armstrong, Katrina; Weber, Barbara; FitzGerald, Genevieve; Hershey, John C; Pauly, Mark V; Lemaire, Jean; Subramanian, Krupa; Asch, David A

    2003-07-30

    Life insurance industry access to genetic information is controversial. Consumer groups argue that access will increase discrimination in life insurance premiums and discourage individuals from undergoing genetic testing that may provide health benefits. Conversely, life insurers argue that without access to risk information available to individuals, they face substantial financial risk from adverse selection. Given this controversy, we conducted a retrospective cohort study to evaluate the impact of breast cancer risk information on life insurance purchasing, the impact of concerns about life insurance discrimination on use of BRCA1/2 testing, and the incidence of life insurance discrimination following participation in breast cancer risk assessment and BRCA1/2 testing. Study participants were 636 women who participated in genetic counseling and/or genetic testing at a University based clinic offering breast cancer risk assessment, genetic counseling, and BRCA1/2 testing between January 1995 and May 2000. Twenty-seven women (4%) had increased and six (1%) had decreased their life insurance since participation in breast cancer risk assessment. The decision to increase life insurance coverage was associated with predicted breast cancer risk (adjusted OR 1.03 for each 1% absolute increase in risk, 95% CI 1.01-1.10) and being found to carry a mutation in BRCA1/2 (OR 5.10, 95% CI 1.90-13.66). Concern about life insurance discrimination was inversely associated with the decision to undergo BRCA1/2 testing (RR 0.67, 95% CI 0.52-0.85). No respondent reported having life insurance denied or canceled. In this cohort of women, these results indicate that information about increased breast cancer risk is associated with increase in life insurance purchasing, raising the possibility of adverse selection. Although fear of insurance discrimination is associated with the decision not to undergo BRCA1/2 testing, there was no evidence of actual insurance discrimination from BRCA1

  16. Genetic vulnerability to diabetes and obesity: does education offset the risk?

    PubMed

    Liu, S Y; Walter, S; Marden, J; Rehkopf, D H; Kubzansky, L D; Nguyen, T; Glymour, M M

    2015-02-01

    The prevalence of type 2 diabetes (T2D) and obesity has recently increased dramatically. These common diseases are likely to arise from the interaction of multiple genetic, socio-demographic and environmental risk factors. While previous research has found genetic risk and education to be strong predictors of these diseases, few studies to date have examined their joint effects. This study investigates whether education modifies the association between genetic background and risk for type 2 diabetes (T2D) and obesity. Using data from non-Hispanic Whites in the Health and Retirement Study (HRS, n = 8398), we tested whether education modifies genetic risk for obesity and T2D, offsetting genetic effects; whether this effect is larger for individuals who have high risk for other (unobserved) reasons, i.e., at higher quantiles of HbA1c and BMI; and whether effects differ by gender. We measured T2D risk using Hemoglobin A1c (HbA1c) level, and obesity risk using body-mass index (BMI). We constructed separate genetic risk scores (GRS) for obesity and diabetes respectively based on the most current available information on the single nucleotide polymorphism (SNPs) confirmed as genome-wide significant predictors for BMI (29 SNPs) and diabetes risk (39 SNPs). Linear regression models with years of schooling indicate that the effect of genetic risk on HbA1c is smaller among people with more years of schooling and larger among those with less than a high school (HS) degree compared to HS degree-holders. Quantile regression models show that the GRS × education effect systematically increased along the HbA1c outcome distribution; for example the GRS × years of education interaction coefficient was -0.01 (95% CI = -0.03, 0.00) at the 10th percentile compared to -0.03 (95% CI = -0.07, 0.00) at the 90th percentile. These results suggest that education may be an important socioeconomic source of heterogeneity in responses to genetic vulnerability to T2D.

  17. The Genetics Revolution: Programs and Issues for the Community College. A Monograph Highlighting the Winners of the Exxon Education Foundation Innovation Awards.

    ERIC Educational Resources Information Center

    Mays, Marilyn Elaine, Ed.

    Presented at a 1996 conference on the implications of the Human Genome Project for community and technical colleges, the 30 papers included in this monograph describe methods for incorporating genetics studies into the two-year college curriculum. Among the papers provided are: (1) "Facing the Unknown: The Ethical Challenges of Biotechnology" (J.…

  18. Genetic Polymorphisms of the Glycine N-Methyltransferase and Prostate Cancer Risk in the Health Professionals Follow-Up Study

    PubMed Central

    Chen, Marcelo; Huang, Yi-Ling; Huang, Yu-Chuen; Shui, Irene M.; Giovannucci, Edward; Chen, Yen-Ching; Chen, Yi-Ming Arthur

    2014-01-01

    Purpose Glycine N-methyltransferase (GNMT) affects genetic stability by regulating the ratio of S-adenosylmethionine to S-adenosylhomocysteine, by binding to folate, and by interacting with environmental carcinogens. In Taiwanese men, GNMT was found to be a tumor susceptibility gene for prostate cancer. However, the association of GNMT with prostate cancer risk in other ethnicities has not been studied. It was recently reported that sarcosine, which is regulated by GNMT, increased markedly in metastatic prostate cancer. We hereby explored the association of GNMT polymorphisms with prostate cancer risk in individuals of European descent from the Health Professionals Follow-up Study (HPFS). Methods A total of 661 incident prostate cancer cases and 656 controls were identified from HPFS. The GNMT short tandem repeat polymorphism 1 (STRP1), 4-bp insertion/deletion polymorphisms (INS/DEL) and the single nucleotide polymorphism rs10948059 were genotyped to test for their association with prostate cancer risk. Results The rs10948059 T/T genotype was associated with a 1.62-fold increase in prostate cancer risk (95% confidence interval (CI): 1.18, 2.22) when compared with the C/C genotype. The STRP1 ≥16GAs/≥16GAs genotype was associated with decreased risk of prostate cancer when compared with the <16GAs/<16GAs genotype (odds ratio (OR) = 0.68; 95% CI: 0.46, 1.01). INS/DEL was not associated with prostate cancer risk. Haplotypes containing the rs10948059 T allele were significantly associated with increased prostate cancer risk. Conclusion In men of European descent, the GNMT rs10948059 and STRP1 were associated with prostate cancer risk. Compared to the study conducted in Taiwanese men, the susceptibility GNMT alleles for prostate cancer had a reverse relationship. This study highlights the differences in allelic frequencies and prostate cancer susceptibility in different ethnicities. PMID:24800880

  19. Modeling the cumulative genetic risk for multiple sclerosis from genome-wide association data

    PubMed Central

    2011-01-01

    Background Multiple sclerosis (MS) is the most common cause of chronic neurologic disability beginning in early to middle adult life. Results from recent genome-wide association studies (GWAS) have substantially lengthened the list of disease loci and provide convincing evidence supporting a multifactorial and polygenic model of inheritance. Nevertheless, the knowledge of MS genetics remains incomplete, with many risk alleles still to be revealed. Methods We used a discovery GWAS dataset (8,844 samples, 2,124 cases and 6,720 controls) and a multi-step logistic regression protocol to identify novel genetic associations. The emerging genetic profile included 350 independent markers and was used to calculate and estimate the cumulative genetic risk in an independent validation dataset (3,606 samples). Analysis of covariance (ANCOVA) was implemented to compare clinical characteristics of individuals with various degrees of genetic risk. Gene ontology and pathway enrichment analysis was done using the DAVID functional annotation tool, the GO Tree Machine, and the Pathway-Express profiling tool. Results In the discovery dataset, the median cumulative genetic risk (P-Hat) was 0.903 and 0.007 in the case and control groups, respectively, together with 79.9% classification sensitivity and 95.8% specificity. The identified profile shows a significant enrichment of genes involved in the immune response, cell adhesion, cell communication/signaling, nervous system development, and neuronal signaling, including ionotropic glutamate receptors, which have been implicated in the pathological mechanism driving neurodegeneration. In the validation dataset, the median cumulative genetic risk was 0.59 and 0.32 in the case and control groups, respectively, with classification sensitivity 62.3% and specificity 75.9%. No differences in disease progression or T2-lesion volumes were observed among four levels of predicted genetic risk groups (high, medium, low, misclassified). On the other

  20. Hazard identification and risk assessment procedure for genetically modified plants in the field--GMHAZID.

    PubMed

    Koivisto, Raija A; Törmäkangas, Kirsi M; Kauppinen, Veli S

    2002-01-01

    The safe application of genetically modified organisms (GMOs) requires a risk assessment prior to their proposed use. Based on methods from the chemical industry, we developed a hazard identification procedure for the risk assessment of field tests with genetically modified plants. This risk assessment method, GMHAZID, is carried out in the form of guided brainstorm sessions. GMHAZID was tested with a case study for which a risk assessment had previously been made, and the results of the assessments were compared. The results showed that some new hazards potentially leading to uncontrolled spreading, in addition to those from the previous assessment, were identified using GMHAZID. GMHAZID also recognised some hazards leading to failures in the field experiments. We suggest that GMHAZID provides systematics, reliability, and transparency to the risk assessment procedure.

  1. Genetic, nongenetic and epigenetic risk determinants in developmental programming of type 2 diabetes.

    PubMed

    Vaag, Allan; Brøns, Charlotte; Gillberg, Linn; Hansen, Ninna S; Hjort, Line; Arora, Geeti P; Thomas, Nihal; Broholm, Christa; Ribel-Madsen, Rasmus; Grunnet, Louise G

    2014-11-01

    Low birthweight (LBW) individuals and offspring of women with gestational diabetes mellitus (GDM) exhibit increased risk of developing type 2 diabetes (T2D) and associated cardiometabolic traits in adulthood, which for both groups may be mediated by adverse events and developmental changes in fetal life. T2D is a multifactorial disease occurring as a result of complicated interplay between genetic and both prenatal and postnatal nongenetic factors, and it remains unknown to what extent the increased risk of T2D associated with LBW or GDM in the mother may be due to, or confounded by, genetic factors. Indeed, it has been shown that genetic changes influencing risk of diabetes may also be associated with reduced fetal growth as a result of reduced insulin secretion and/or action. Similarly, increased risk of T2D among offspring could be explained by T2D susceptibility genes shared between the mother and her offspring. Epigenetic mechanisms may explain the link between factors operating in fetal life and later risk of developing T2D, but so far convincing evidence is lacking for epigenetic changes as a prime and direct cause of T2D. This review addresses recent literature on the early origins of adult disease hypothesis, with a special emphasis on the role of genetic compared with nongenetic and epigenetic risk determinants and disease mechanisms.

  2. Property rights and genetic engineering: developing nations at risk.

    PubMed

    Shrader-Frechette, Kristin

    2005-01-01

    Eighty percent of (commercial) genetically engineered seeds (GES) are designed only to resist herbicides. Letting farmers use more chemicals, they cut labor costs. But developing nations say GES cause food shortages, unemployment, resistant weeds, and extinction of native cultivars when "volunteers" drift nearby. While GES patents are reasonable, this paper argues many patent policies are not. The paper surveys GE technology, outlines John Locke's classic account of property rights, and argues that current patent policies must be revised to take account of Lockean ethical constraints. After answering a key objection, it provides concrete suggestions for implementing its ethical conclusions.

  3. Weighted Genetic Risk Scores and Prediction of Weight Gain in Solid Organ Transplant Populations

    PubMed Central

    Saigi-Morgui, Núria; Quteineh, Lina; Bochud, Pierre-Yves; Crettol, Severine; Kutalik, Zoltán; Wojtowicz, Agnieszka; Bibert, Stéphanie; Beckmann, Sonja; Mueller, Nicolas J; Binet, Isabelle; van Delden, Christian; Steiger, Jürg; Mohacsi, Paul; Stirnimann, Guido; Soccal, Paola M.; Pascual, Manuel; Eap, Chin B

    2016-01-01

    Background Polygenic obesity in Solid Organ Transplant (SOT) populations is considered a risk factor for the development of metabolic abnormalities and graft survival. Few studies to date have studied the genetics of weight gain in SOT recipients. We aimed to determine whether weighted genetic risk scores (w-GRS) integrating genetic polymorphisms from GWAS studies (SNP group#1 and SNP group#2) and from Candidate Gene studies (SNP group#3) influence BMI in SOT populations and if they predict ≥10% weight gain (WG) one year after transplantation. To do so, two samples (nA = 995, nB = 156) were obtained from naturalistic studies and three w-GRS were constructed and tested for association with BMI over time. Prediction of 10% WG at one year after transplantation was assessed with models containing genetic and clinical factors. Results w-GRS were associated with BMI in sample A and B combined (BMI increased by 0.14 and 0.11 units per additional risk allele in SNP group#1 and #2, respectively, p-values<0.008). w-GRS of SNP group#3 showed an effect of 0.01 kg/m2 per additional risk allele when combining sample A and B (p-value 0.04). Models with genetic factors performed better than models without in predicting 10% WG at one year after transplantation. Conclusions This is the first study in SOT evaluating extensively the association of w-GRS with BMI and the influence of clinical and genetic factors on 10% of WG one year after transplantation, showing the importance of integrating genetic factors in the final model. Genetics of obesity among SOT recipients remains an important issue and can contribute to treatment personalization and prediction of WG after transplantation. PMID:27788139

  4. Why the preeminent risk factor in sporadic Alzheimer's disease cannot be genetic.

    PubMed

    Foster, H D

    2002-07-01

    If genetic risk factors are preeminent in the etiology of sporadic Alzheimer's disease, three corollaries follow: age-adjusted death rates from it should be fairly spatially uniform, should not vary significantly over time and should not alter markedly with migration. Globally, none of these corollaries hold true. The APO E(4) allele and other genetic aberrations that promote sporadic Alzheimer's disease do so most effectively in low alkalinity-high aluminum environments, especially if these are experiencing acid rain.

  5. Neuroimaging and Genetic Risk for Alzheimer’s Disease and Addiction-Related Degenerative Brain Disorders

    PubMed Central

    Jahanshad, Neda; Leonardo, Cassandra D.; Thompson, Paul M.

    2014-01-01

    Neuroimaging offers a powerful means to assess the trajectory of brain degeneration in a variety of disorders, including Alzheimer’s disease (AD). Here we describe how multimodal imaging can be used to study the changing brain during the different stages of AD. We integrate findings from a range of studies using magnetic resonance imaging (MRI), positron emission tomography (PET), functional MRI (fMRI) and diffusion weighted imaging (DWI). Neuroimaging reveals how risk genes for degenerative disorders affect the brain, including several recently discovered genetic variants that may disrupt brain connectivity. We review some recent neuroimaging studies of genetic polymorphisms associated with increased risk for late-onset Alzheimer’s disease (LOAD). Some genetic variants that increase risk for drug addiction may overlap with those associated with degenerative brain disorders. These common associations offer new insight into mechanisms underlying neurodegeneration and addictive behaviors, and may offer new leads for treating them before severe and irreversible neurological symptoms appear. PMID:24142306

  6. Neuroimaging and genetic risk for Alzheimer's disease and addiction-related degenerative brain disorders.

    PubMed

    Roussotte, Florence F; Daianu, Madelaine; Jahanshad, Neda; Leonardo, Cassandra D; Thompson, Paul M

    2014-06-01

    Neuroimaging offers a powerful means to assess the trajectory of brain degeneration in a variety of disorders, including Alzheimer's disease (AD). Here we describe how multi-modal imaging can be used to study the changing brain during the different stages of AD. We integrate findings from a range of studies using magnetic resonance imaging (MRI), positron emission tomography (PET), functional MRI (fMRI) and diffusion weighted imaging (DWI). Neuroimaging reveals how risk genes for degenerative disorders affect the brain, including several recently discovered genetic variants that may disrupt brain connectivity. We review some recent neuroimaging studies of genetic polymorphisms associated with increased risk for late-onset Alzheimer's disease (LOAD). Some genetic variants that increase risk for drug addiction may overlap with those associated with degenerative brain disorders. These common associations offer new insight into mechanisms underlying neurodegeneration and addictive behaviors, and may offer new leads for treating them before severe and irreversible neurological symptoms appear.

  7. Predictive value of breast cancer cognitions and attitudes toward genetic testing on women’s interest in genetic testing for breast cancer risk

    PubMed Central

    Reitz, Frauke; Barth, Jürgen; Bengel, Jürgen

    2004-01-01

    In the past years advances in genetic technologies have led to an increased interest in predictive genetic testing for breast cancer risk. Studies in the US and UK reported an increasing interest among women of the general public in genetic testing for breast cancer risk, although the benefit of such a test is questionable for low risk women. The aim of the present study was to identify factors that predict interest in genetic testing of German women in the general public. Women with neither a family history of breast cancer nor breast cancer themselves received an information letter by mail, were interviewed by telephone, and completed a self-administered questionnaire (N=377). Structural equation modeling was used to determine the predictive value of attitudinal and cognitive variables on interest in genetic testing for breast cancer risk. The resulting model achieved good fit indices, and 42% of variance could be explained. Women with more expectations concerning the test, more positive attitudes concerning genetic testing in general, an increased breast cancer risk perception, and increased breast cancer worries showed more interest in testing. These findings suggest the need for information and counseling strategies for low risk women which should focus in particular on decreasing unrealistic expectations concerning genetic testing for breast cancer risk but also on decreasing perceived breast cancer risk and breast cancer worries. PMID:19742051

  8. Factors Motivating Individuals to Consider Genetic Testing for Type 2 Diabetes Risk Prediction.

    PubMed

    Wessel, Jennifer; Gupta, Jyoti; de Groot, Mary

    2016-01-01

    The purpose of this study was to identify attitudes and perceptions of willingness to participate in genetic testing for type 2 diabetes (T2D) risk prediction in the general population. Adults (n = 598) were surveyed on attitudes about utilizing genetic testing to predict future risk of T2D. Participants were recruited from public libraries (53%), online registry (37%) and a safety net hospital emergency department (10%). Respondents were 37 ± 11 years old, primarily White (54%), female (69%), college educated (46%), with an annual income ≥$25,000 (56%). Half of participants were interested in genetic testing for T2D (52%) and 81% agreed/strongly agreed genetic testing should be available to the public. Only 57% of individuals knew T2D is preventable. A multivariate model to predict interest in genetic testing was adjusted for age, gender, recruitment location and BMI; significant predictors were motivation (high perceived personal risk of T2D [OR = 4.38 (1.76, 10.9)]; family history [OR = 2.56 (1.46, 4.48)]; desire to know risk prior to disease onset [OR = 3.25 (1.94, 5.42)]; and knowing T2D is preventable [OR = 2.11 (1.24, 3.60)], intention (if the cost is free [OR = 10.2 (4.27, 24.6)]; and learning T2D is preventable [OR = 5.18 (1.95, 13.7)]) and trust of genetic testing results [OR = 0.03 (0.003, 0.30)]. Individuals are interested in genetic testing for T2D risk which offers unique information that is personalized. Financial accessibility, validity of the test and availability of diabetes prevention programs were identified as predictors of interest in T2D testing.

  9. Factors Motivating Individuals to Consider Genetic Testing for Type 2 Diabetes Risk Prediction

    PubMed Central

    Wessel, Jennifer; Gupta, Jyoti; de Groot, Mary

    2016-01-01

    The purpose of this study was to identify attitudes and perceptions of willingness to participate in genetic testing for type 2 diabetes (T2D) risk prediction in the general population. Adults (n = 598) were surveyed on attitudes about utilizing genetic testing to predict future risk of T2D. Participants were recruited from public libraries (53%), online registry (37%) and a safety net hospital emergency department (10%). Respondents were 37±11 years old, primarily White (54%), female (69%), college educated (46%), with an annual income ≥$25,000 (56%). Half of participants were interested in genetic testing for T2D (52%) and 81% agreed/strongly agreed genetic testing should be available to the public. Only 57% of individuals knew T2D is preventable. A multivariate model to predict interest in genetic testing was adjusted for age, gender, recruitment location and BMI; significant predictors were motivation (high perceived personal risk of T2D [OR = 4.38 (1.76, 10.9)]; family history [OR = 2.56 (1.46, 4.48)]; desire to know risk prior to disease onset [OR = 3.25 (1.94, 5.42)]; and knowing T2D is preventable [OR = 2.11 (1.24, 3.60)], intention (if the cost is free [OR = 10.2 (4.27, 24.6)]; and learning T2D is preventable [OR = 5.18 (1.95, 13.7)]) and trust of genetic testing results [OR = 0.03 (0.003, 0.30)]. Individuals are interested in genetic testing for T2D risk which offers unique information that is personalized. Financial accessibility, validity of the test and availability of diabetes prevention programs were identified as predictors of interest in T2D testing. PMID:26789839

  10. Factors Motivating Individuals to Consider Genetic Testing for Type 2 Diabetes Risk Prediction.

    PubMed

    Wessel, Jennifer; Gupta, Jyoti; de Groot, Mary

    2016-01-01

    The purpose of this study was to identify attitudes and perceptions of willingness to participate in genetic testing for type 2 diabetes (T2D) risk prediction in the general population. Adults (n = 598) were surveyed on attitudes about utilizing genetic testing to predict future risk of T2D. Participants were recruited from public libraries (53%), online registry (37%) and a safety net hospital emergency department (10%). Respondents were 37 ± 11 years old, primarily White (54%), female (69%), college educated (46%), with an annual income ≥$25,000 (56%). Half of participants were interested in genetic testing for T2D (52%) and 81% agreed/strongly agreed genetic testing should be available to the public. Only 57% of individuals knew T2D is preventable. A multivariate model to predict interest in genetic testing was adjusted for age, gender, recruitment location and BMI; significant predictors were motivation (high perceived personal risk of T2D [OR = 4.38 (1.76, 10.9)]; family history [OR = 2.56 (1.46, 4.48)]; desire to know risk prior to disease onset [OR = 3.25 (1.94, 5.42)]; and knowing T2D is preventable [OR = 2.11 (1.24, 3.60)], intention (if the cost is free [OR = 10.2 (4.27, 24.6)]; and learning T2D is preventable [OR = 5.18 (1.95, 13.7)]) and trust of genetic testing results [OR = 0.03 (0.003, 0.30)]. Individuals are interested in genetic testing for T2D risk which offers unique information that is personalized. Financial accessibility, validity of the test and availability of diabetes prevention programs were identified as predictors of interest in T2D testing. PMID:26789839

  11. Fatalistic responses to different types of genetic risk information: exploring the role of self-malleability.

    PubMed

    Claassen, Liesbeth; Henneman, Lidewij; De Vet, Riekie; Knol, Dirk; Marteau, Theresa; Timmermans, Danielle

    2010-02-01

    Providing people with genetic risk information may induce a sense of fatalism, the belief that little can be done to reduce the risk. We postulated that fatalism is a function of health risk information and individual differences in self-perception. DNA-based risk information was hypothesised to generate more fatalism than risk information based on family history or non-genetic risk information. Moreover, people who view themselves as more rather than less able to change self-attributes were hypothesised to respond least fatalistically. Factor analyses in separate samples were used to construct a five-item 'Malleability of self' measure. Predictive validity of the measure was tested using a within-subjects analogue design. Participants responded to three scenario vignettes in which they were informed of an increased risk of cardiovascular disease (CVD). In Scenario 1, risk was ascertained by DNA testing, family history and cholesterol testing; in Scenario 2, it was ascertained by family history and cholesterol testing; in Scenario 3, risk was ascertained by cholesterol testing alone. Scenario 1 was associated with least perceived control over cholesterol level and CVD risk. People who viewed themselves as more able to change self-attributes experienced more control in all three scenarios.

  12. RNA-Seq Analysis of Abdominal Fat in Genetically Fat and Lean Chickens Highlights a Divergence in Expression of Genes Controlling Adiposity, Hemostasis, and Lipid Metabolism

    PubMed Central

    Resnyk, Christopher W.; Chen, Chuming; Huang, Hongzhan; Wu, Cathy H.; Simon, Jean; Le Bihan-Duval, Elisabeth; Duclos, Michel J.; Cogburn, Larry A.

    2015-01-01

    Genetic selection for enhanced growth rate in meat-type chickens (Gallus domesticus) is usually accompanied by excessive adiposity, which has negative impacts on both feed efficiency and carcass quality. Enhanced visceral fatness and several unique features of avian metabolism (i.e., fasting hyperglycemia and insulin insensitivity) mimic overt symptoms of obesity and related metabolic disorders in humans. Elucidation of the genetic and endocrine factors that contribute to excessive visceral fatness in chickens could also advance our understanding of human metabolic diseases. Here, RNA sequencing was used to examine differential gene expression in abdominal fat of genetically fat and lean chickens, which exhibit a 2.8-fold divergence in visceral fatness at 7 wk. Ingenuity Pathway Analysis revealed that many of 1687 differentially expressed genes are associated with hemostasis, endocrine function and metabolic syndrome in mammals. Among the highest expressed genes in abdominal fat, across both genotypes, were 25 differentially expressed genes associated with de novo synthesis and metabolism of lipids. Over-expression of numerous adipogenic and lipogenic genes in the FL chickens suggests that in situ lipogenesis in chickens could make a more substantial contribution to expansion of visceral fat mass than previously recognized. Distinguishing features of the abdominal fat transcriptome in lean chickens were high abundance of multiple hemostatic and vasoactive factors, transporters, and ectopic expression of several hormones/receptors, which could control local vasomotor tone and proteolytic processing of adipokines, hemostatic factors and novel endocrine factors. Over-expression of several thrombogenic genes in abdominal fat of lean chickens is quite opposite to the pro-thrombotic state found in obese humans. Clearly, divergent genetic selection for an extreme (2.5–2.8-fold) difference in visceral fatness provokes a number of novel regulatory responses that govern

  13. RNA-Seq Analysis of Abdominal Fat in Genetically Fat and Lean Chickens Highlights a Divergence in Expression of Genes Controlling Adiposity, Hemostasis, and Lipid Metabolism.

    PubMed

    Resnyk, Christopher W; Chen, Chuming; Huang, Hongzhan; Wu, Cathy H; Simon, Jean; Le Bihan-Duval, Elisabeth; Duclos, Michel J; Cogburn, Larry A

    2015-01-01

    Genetic selection for enhanced growth rate in meat-type chickens (Gallus domesticus) is usually accompanied by excessive adiposity, which has negative impacts on both feed efficiency and carcass quality. Enhanced visceral fatness and several unique features of avian metabolism (i.e., fasting hyperglycemia and insulin insensitivity) mimic overt symptoms of obesity and related metabolic disorders in humans. Elucidation of the genetic and endocrine factors that contribute to excessive visceral fatness in chickens could also advance our understanding of human metabolic diseases. Here, RNA sequencing was used to examine differential gene expression in abdominal fat of genetically fat and lean chickens, which exhibit a 2.8-fold divergence in visceral fatness at 7 wk. Ingenuity Pathway Analysis revealed that many of 1687 differentially expressed genes are associated with hemostasis, endocrine function and metabolic syndrome in mammals. Among the highest expressed genes in abdominal fat, across both genotypes, were 25 differentially expressed genes associated with de novo synthesis and metabolism of lipids. Over-expression of numerous adipogenic and lipogenic genes in the FL chickens suggests that in situ lipogenesis in chickens could make a more substantial contribution to expansion of visceral fat mass than previously recognized. Distinguishing features of the abdominal fat transcriptome in lean chickens were high abundance of multiple hemostatic and vasoactive factors, transporters, and ectopic expression of several hormones/receptors, which could control local vasomotor tone and proteolytic processing of adipokines, hemostatic factors and novel endocrine factors. Over-expression of several thrombogenic genes in abdominal fat of lean chickens is quite opposite to the pro-thrombotic state found in obese humans. Clearly, divergent genetic selection for an extreme (2.5-2.8-fold) difference in visceral fatness provokes a number of novel regulatory responses that govern

  14. The Next Challenge for Psychiatric Genetics: Characterizing the Risk Associated with Identified Genes

    PubMed Central

    Dick, Danielle M.; Rose, Richard J.; Kaprio, Jaakko

    2006-01-01

    Background As advances in genetics further our ability to identify genes influencing psychiatric disorders, the next challenge facing psychiatric genetics is to characterize the risk associated with specific genetic variants in order to better understand how these susceptibility genes are involved in the pathways leading to illness. Methods To further this goal, findings from behavior genetic analyses about how genetic influences act can be used to guide hypothesis testing about the effects associated with specific genes. Results Using the phenotype of alcohol dependence as an example, this paper provides an overview of how the integration of behavioral and statistical genetics can advance our knowledge about the genetics of psychiatric disorders. Areas currently being investigated in behavior genetics include careful delineation of phenotypes, to examine the heritability of various aspects of normal and abnormal behavior; developmental changes in the nature and magnitude of genetic and environmental effects; the extent to which different behaviors are influenced by common genes; and different forms of gene-environment correlation and interaction. Conclusions Understanding how specific genes are involved in these processes has the potential to significantly enhance our understanding of the development of psychiatric disorders. PMID:17162621

  15. Multivariate Methods for Genetic Variants Selection and Risk Prediction in Cardiovascular Diseases.

    PubMed

    Malovini, Alberto; Bellazzi, Riccardo; Napolitano, Carlo; Guffanti, Guia

    2016-01-01

    Over the last decade, high-throughput genotyping and sequencing technologies have contributed to major advancements in genetics research, as these technologies now facilitate affordable mapping of the entire genome for large sets of individuals. Given this, genome-wide association studies are proving to be powerful tools in identifying genetic variants that have the capacity to modify the probability of developing a disease or trait of interest. However, when the study's goal is to evaluate the effect of the presence of genetic variants mapping to specific chromosomes regions on a specific phenotype, the candidate loci approach is still preferred. Regardless of which approach is taken, such a large data set calls for the establishment and development of appropriate analytical methods in order to translate such knowledge into biological or clinical findings. Standard univariate tests often fail to identify informative genetic variants, especially when dealing with complex traits, which are more likely to result from a combination of rare and common variants and non-genetic determinants. These limitations can partially be overcome by multivariate methods, which allow for the identification of informative combinations of genetic variants and non-genetic features. Furthermore, such methods can help to generate additive genetic scores and risk stratification algorithms that, once extensively validated in independent cohorts, could serve as useful tools to assist clinicians in decision-making. This review aims to provide readers with an overview of the main multivariate methods for genetic data analysis that could be applied to the analysis of cardiovascular traits. PMID:27376073

  16. A genome-wide association study demonstrates significant genetic variation for fracture risk in Thoroughbred racehorses

    PubMed Central

    2014-01-01

    Background Thoroughbred racehorses are subject to non-traumatic distal limb bone fractures that occur during racing and exercise. Susceptibility to fracture may be due to underlying disturbances in bone metabolism which have a genetic cause. Fracture risk has been shown to be heritable in several species but this study is the first genetic analysis of fracture risk in the horse. Results Fracture cases (n = 269) were horses that sustained catastrophic distal limb fractures while racing on UK racecourses, necessitating euthanasia. Control horses (n = 253) were over 4 years of age, were racing during the same time period as the cases, and had no history of fracture at the time the study was carried out. The horses sampled were bred for both flat and National Hunt (NH) jump racing. 43,417 SNPs were employed to perform a genome-wide association analysis and to estimate the proportion of genetic variance attributable to the SNPs on each chromosome using restricted maximum likelihood (REML). Significant genetic variation associated with fracture risk was found on chromosomes 9, 18, 22 and 31. Three SNPs on chromosome 18 (62.05 Mb – 62.15 Mb) and one SNP on chromosome 1 (14.17 Mb) reached genome-wide significance (p < 0.05) in a genome-wide association study (GWAS). Two of the SNPs on ECA 18 were located in a haplotype block containing the gene zinc finger protein 804A (ZNF804A). One haplotype within this block has a protective effect (controls at 1.95 times less risk of fracture than cases, p = 1 × 10-4), while a second haplotype increases fracture risk (cases at 3.39 times higher risk of fracture than controls, p = 0.042). Conclusions Fracture risk in the Thoroughbred horse is a complex condition with an underlying genetic basis. Multiple genomic regions contribute to susceptibility to fracture risk. This suggests there is the potential to develop SNP-based estimators for genetic risk of fracture in the Thoroughbred racehorse, using methods

  17. Shared Genetic Factors Influence Risk for Bipolar Disorder and Alcohol Use Disorders

    PubMed Central

    Carmiol, Nasdia; Peralta, Juan M; Almasy, Laura; Contreras, Javier; Pacheco, Adriana; Escamilla, Michael A; Knowles, Emma E; Raventós, Henriette; Glahn, David C

    2014-01-01

    Bipolar disorder and alcohol use disorder (AUD) have a high rate of comorbidity, more than 50% of individuals with bipolar disorder also receive a diagnosis of AUD in their lifetimes. Although both disorders are heritable, it is unclear if the same genetic factors mediate risk for bipolar disorder and AUD. We examined 733 Costa Rican individuals from 61 bipolar pedigrees. Based on a best-estimate process, 32% of the sample met criteria for bipolar disorder, 17% had a lifetime AUD diagnosis, 32% met criteria for lifetime nicotine dependence, and 21% had an anxiety disorder. AUD, nicotine dependence and anxiety disorders were relatively more common among individuals with bipolar disorder than in their non-bipolar relatives. All illnesses were shown to be heritable and bipolar disorder was genetically correlated with AUD, nicotine dependence and anxiety disorders. The genetic correlation between bipolar and AUD remained when controlling for anxiety, suggesting that unique genetic factors influence risk for comorbid bipolar and AUD independent of anxiety. Our findings provide evidence for shared genetic effects on bipolar disorder and AUD risk. Demonstrating that common genetic factors influence these independent diagnostic constructs could help to refine our diagnostic nosology. PMID:24321773

  18. Common genetic polymorphisms modify the effect of smoking on absolute risk of bladder cancer

    PubMed Central

    Garcia-Closas, Montserrat; Rothman, Nathaniel; Figueroa, Jonine D.; Prokunina-Olsson, Ludmila; Han, Summer S.; Baris, Dalsu; Jacobs, Eric J; Malats, Nuria; De Vivo, Immaculata; Albanes, Demetrius; Purdue, Mark P; Sharma, Sapna; Fu, Yi-Ping; Kogevinas, Manolis; Wang, Zhaoming; Tang, Wei; Tardón, Adonina; Serra, Consol; Carrato, Alfredo; García-Closas, Reina; Lloreta, Josep; Johnson, Alison; Schwenn, Molly; Karagas, Margaret R; Schned, Alan; Andriole, Gerald; Grubb, Robert; Black, Amanda; Gapstur, Susan M; Thun, Michael; Diver, W Ryan; Weinstein, Stephanie J; Virtamo, Jarmo; Hunter, David J; Caporaso, Neil; Landi, Maria Teresa; Hutchinson, Amy; Burdett, Laurie; Jacobs, Kevin B; Yeager, Meredith; Fraumeni, Joseph F; Chanock, Stephen J; Silverman, Debra T; Chatterjee, Nilanjan

    2013-01-01

    Bladder cancer results from the combined effects of environmental and genetic factors, smoking being the strongest risk factor. Evaluating absolute risks resulting from the joint effects of smoking and genetic factors is critical to evaluate the public health relevance of genetic information. Analyses included up to 3,942 cases and 5,680 controls of European background in seven studies. We tested for multiplicative and additive interactions between smoking and 12 susceptibility loci, individually and combined as a polygenic risk score (PRS). Thirty-year absolute risks and risk differences by levels of the PRS were estimated for US-males aged 50-years. Six out of 12 variants showed significant additive gene-environment interactions, most notably NAT2 (P=7×10-4) and UGT1A6 (P=8×10-4). The 30-year absolute risk of bladder cancer in US males was 6.2% for all current smokers. This risk ranged from 2.9% for current smokers in the lowest quartile of the PRS to 9.9% for current smokers in the upper quartile. Risk difference estimates indicated that 8,200 cases would be prevented if elimination of smoking occurred in 100,000 men in the upper PRS quartile, compared to 2,000 cases prevented by a similar effort in the lowest PRS quartile (P-additive =1×10-4). The impact of eliminating smoking the on number of bladder cancer cases prevented is larger for individuals at higher than lower genetic risk. Our findings could have implications for targeted prevention strategies. However, other smoking-related diseases, as well as practical and ethical considerations, need to be considered before any recommendations could be made. PMID:23536561

  19. Common genetic polymorphisms modify the effect of smoking on absolute risk of bladder cancer.

    PubMed

    Garcia-Closas, Montserrat; Rothman, Nathaniel; Figueroa, Jonine D; Prokunina-Olsson, Ludmila; Han, Summer S; Baris, Dalsu; Jacobs, Eric J; Malats, Nuria; De Vivo, Immaculata; Albanes, Demetrius; Purdue, Mark P; Sharma, Sapna; Fu, Yi-Ping; Kogevinas, Manolis; Wang, Zhaoming; Tang, Wei; Tardón, Adonina; Serra, Consol; Carrato, Alfredo; García-Closas, Reina; Lloreta, Josep; Johnson, Alison; Schwenn, Molly; Karagas, Margaret R; Schned, Alan; Andriole, Gerald; Grubb, Robert; Black, Amanda; Gapstur, Susan M; Thun, Michael; Diver, William Ryan; Weinstein, Stephanie J; Virtamo, Jarmo; Hunter, David J; Caporaso, Neil; Landi, Maria Teresa; Hutchinson, Amy; Burdett, Laurie; Jacobs, Kevin B; Yeager, Meredith; Fraumeni, Joseph F; Chanock, Stephen J; Silverman, Debra T; Chatterjee, Nilanjan

    2013-04-01

    Bladder cancer results from the combined effects of environmental and genetic factors, smoking being the strongest risk factor. Evaluating absolute risks resulting from the joint effects of smoking and genetic factors is critical to assess the public health relevance of genetic information. Analyses included up to 3,942 cases and 5,680 controls of European background in seven studies. We tested for multiplicative and additive interactions between smoking and 12 susceptibility loci, individually and combined as a polygenic risk score (PRS). Thirty-year absolute risks and risk differences by levels of the PRS were estimated for U.S. males aged 50 years. Six of 12 variants showed significant additive gene-environment interactions, most notably NAT2 (P = 7 × 10(-4)) and UGT1A6 (P = 8 × 10(-4)). The 30-year absolute risk of bladder cancer in U.S. males was 6.2% for all current smokers. This risk ranged from 2.9% for current smokers in the lowest quartile of the PRS to 9.9% for current smokers in the upper quartile. Risk difference estimates indicated that 8,200 cases would be prevented if elimination of smoking occurred in 100,000 men in the upper PRS quartile compared with 2,000 cases prevented by a similar effort in the lowest PRS quartile (P(additive) = 1 × 10(-4)). Thus, the potential impact of eliminating smoking on the number of bladder cancer cases prevented is larger for individuals at higher than lower genetic risk. Our findings could have implications for targeted prevention strategies. However, other smoking-related diseases, as well as practical and ethical considerations, need to be considered before any recommendations could be made.

  20. Detection of Intergenerational Genetic Effects with Application to HLA-B Matching as a Risk Factor for Schizophrenia

    PubMed Central

    Childs, Erica J.; Sobel, Eric M.; Palmer, Christina G.S.; Sinsheimer, Janet S.

    2011-01-01

    Background and Methods Association studies using unrelated individuals cannot detect intergenerational genetic effects contributing to disease. To detect these effects, we improve the extended maternal-fetal genotype (EMFG) incompatibility test to estimate any combination of maternal effects, offspring effects, and their interactions at polymorphic loci or multiple SNPs, using any size pedigrees. We explore the advantages of using extended pedigrees rather than nuclear families. We apply our methods to schizophrenia pedigrees to investigate whether the previously associated mother-daughter HLA-B matching is a genuine risk or the result of bias. Results Simulations demonstrate that using the EMFG test with extended pedigrees increases power and precision, while partitioning extended pedigrees into nuclear families can underestimate intergenerational effects. Application to actual data demonstrates that mother-daughter HLA-B matching remains a schizophrenia risk factor. Furthermore, ascertainment and mate selection biases cannot by themselves explain the observed HLA-B matching and schizophrenia association. Conclusions Our results demonstrate the power of the EMFG test to examine intergenerational genetic effects, highlight the importance of pedigree rather than case/control or case-mother/control-mother designs, illustrate that pedigrees provide a means to examine alternative, non-causal mechanisms, and they strongly support the hypothesis that HLA-B matching is causally involved in the etiology of schizophrenia in females. PMID:22004985

  1. Variance in disease risk: rural populations and genetic diversity.

    PubMed

    Jenkins, W D; Lipka, A E; Fogleman, A J; Delfino, K R; Malhi, R S; Hendricks, B

    2016-07-01

    Over 19% of the US population resides in rural areas, where studies of disease risk and disease outcomes are difficult to assess due to smaller populations and lower incidence. While some studies suggest rural disparities for different chronic diseases, the data are inconsistent across geography and definitions of rurality. We reviewed the literature to examine if local variations in population genomic diversity may plausibly explain inconsistencies in estimating disease risk. Many rural communities were founded over 150 years ago by small groups of ethnically and ancestrally similar families. These have since endured relative geographical isolation, similar to groups in other industrialized nations, perhaps resulting in founder effects impacting local disease susceptibility. Studies in Europe and Asia have found that observably different phenotypes may appear in isolated communities within 100 years, and that genomic variation can significantly vary over small geographical scales. Epidemiological studies utilizing common "rural" definitions may miss significant disease differences due to assumptions of risk homogeneity and misinterpretation of administrative definitions of rurality. Local genomic heterogeneity should be an important aspect of chronic disease epidemiology in rural areas, and it is important to consider for designing studies and interpreting results, enabling a better understanding of the heritable components of complex diseases. PMID:27334395

  2. Genetic Variants Associated with Increased Risk of Malignant Pleural Mesothelioma: A Genome-Wide Association Study

    PubMed Central

    Matullo, Giuseppe; Guarrera, Simonetta; Betti, Marta; Fiorito, Giovanni; Ferrante, Daniela; Voglino, Floriana; Cadby, Gemma; Di Gaetano, Cornelia; Rosa, Fabio; Russo, Alessia; Hirvonen, Ari; Casalone, Elisabetta; Tunesi, Sara; Padoan, Marina; Giordano, Mara; Aspesi, Anna; Casadio, Caterina; Ardissone, Francesco; Ruffini, Enrico; Betta, Pier Giacomo; Libener, Roberta; Guaschino, Roberto; Piccolini, Ezio; Neri, Monica; Musk, Arthur W. B.; de Klerk, Nicholas H.; Hui, Jennie; Beilby, John; James, Alan L.; Creaney, Jenette; Robinson, Bruce W.; Mukherjee, Sutapa; Palmer, Lyle J.; Mirabelli, Dario; Ugolini, Donatella; Bonassi, Stefano; Magnani, Corrado; Dianzani, Irma

    2013-01-01

    Asbestos exposure is the main risk factor for malignant pleural mesothelioma (MPM), a rare aggressive tumor. Nevertheless, only 5–17% of those exposed to asbestos develop MPM, suggesting the involvement of other environmental and genetic risk factors. To identify the genetic risk factors that may contribute to the development of MPM, we conducted a genome-wide association study (GWAS; 370,000 genotyped SNPs, 5 million imputed SNPs) in Italy, among 407 MPM cases and 389 controls with a complete history of asbestos exposure. A replication study was also undertaken and included 428 MPM cases and 1269 controls from Australia. Although no single marker reached the genome-wide significance threshold, several associations were supported by haplotype-, chromosomal region-, gene- and gene-ontology process-based analyses. Most of these SNPs were located in regions reported to harbor aberrant alterations in mesothelioma (SLC7A14, THRB, CEBP350, ADAMTS2, ETV1, PVT1 and MMP14 genes), causing at most a 2–3-fold increase in MPM risk. The Australian replication study showed significant associations in five of these chromosomal regions (3q26.2, 4q32.1, 7p22.2, 14q11.2, 15q14). Multivariate analysis suggested an independent contribution of 10 genetic variants, with an Area Under the ROC Curve (AUC) of 0.76 when only exposure and covariates were included in the model, and of 0.86 when the genetic component was also included, with a substantial increase of asbestos exposure risk estimation (odds ratio, OR: 45.28, 95% confidence interval, CI: 21.52–95.28). These results showed that genetic risk factors may play an additional role in the development of MPM, and that these should be taken into account to better estimate individual MPM risk in individuals who have been exposed to asbestos. PMID:23626673

  3. Risk Assessment, Genetic Counseling, and Genetic Testing for BRCA-Related Cancer in Women

    MedlinePlus

    ... Task Force learned about the potential benefits and harms of this multi- step process: (1) Women who ... remove her breasts or ovaries. Potential Benefits and Harms of Using Medications to Reduce Breast Cancer Risk ...

  4. [Health risks of genetically modified foods: a literature review].

    PubMed

    Domingo Roig, J L; Gómez Arnáiz, M

    2000-01-01

    In 1999, there has been much concern on the safety of genetically modified (GM) foods, an important and complex area of safety research, which demands rigorous standards. Various groups, including consumers and environmental Non Governmental Organizations (NGO) have suggested that all GM foods should be subjected to long-term animal feeding studies before approval for human consumption. The main goal of this review has been to know which is the state-of-the art regarding to the potential adverse effects of GM foods. Two databases, MEDLINE and TOXLINE, as well as a number of URL from INTERNET were used for references. Although commentaries, general news and letters to the Editor have been frequently published in reputable journals, papers about experimental studies on the safety of GM foods are surprisingly very scant. If data on toxicological assessment of GM foods have been obtained, these have not been reported in scientific journals and subjected to the scientific judgement.

  5. Genetics of Type 2 Diabetes: It Matters From Which Parent We Inherit the Risk.

    PubMed

    Lyssenko, Valeriya; Groop, Leif; Prasad, Rashmi B

    2015-01-01

    Type 2 diabetes (T2D) results from a co-occurrence of genes and environmental factors. There are more than 120 genetic loci suggested to be associated with T2D, or with glucose and insulin levels in European and multi-ethnic populations. Risk of T2D is higher in the offspring if the mother rather than the father has T2D. Genetically, this can be associated with a unique parent-of-origin (PoO) transmission of risk alleles, and it relates to genetic programming during the intrauterine period, resulting in the inability to increase insulin secretion in response to increased demands imposed by insulin resistance later in life. Such PoO transmission is seen for variants in the KLF14, KCNQ1, GRB10, TCF7L2, THADA, and PEG3 genes. Here we describe T2D susceptibility genes associated with defects in insulin secretion, and thereby risk of overt T2D. This review emphasizes the need to consider distorted parental transmission of risk alleles by exploring the genetic risk of T2D. PMID:27111116

  6. Precursors of literacy delay among children at genetic risk of dyslexia.

    PubMed

    Gallagher, A; Frith, U; Snowling, M J

    2000-02-01

    This paper reports the literacy skills of 63 children selected as being at genetic risk of dyslexia compared with 34 children from families reporting no history of reading impairment. Fifty-seven per cent of the at-risk group were delayed in literacy development at 6 years compared with only 12% of controls. The "unimpaired" at-risk group were not statistically different from controls on most cognitive and language measures at 45 months, whereas the literacy-delayed group showed significantly slower speech and language development, although they did not differ from controls in nonverbal ability. Letter knowledge at 45 months was the strongest predictor of literacy level at 6 years. In addition, early speech and language skills predicted individual differences in literacy outcome and genetic risk accounted for unique variance over and above these other factors. The results are discussed in terms of an interactive developmental model in which semantic and phonological skills support early reading acquisition. PMID:10750546

  7. Genetic toxicology at the crossroads-from qualitative hazard evaluation to quantitative risk assessment.

    PubMed

    White, Paul A; Johnson, George E

    2016-05-01

    Applied genetic toxicology is undergoing a transition from qualitative hazard identification to quantitative dose-response analysis and risk assessment. To facilitate this change, the Health and Environmental Sciences Institute (HESI) Genetic Toxicology Technical Committee (GTTC) sponsored a workshop held in Lancaster, UK on July 10-11, 2014. The event included invited speakers from several institutions and the contents was divided into three themes-1: Point-of-departure Metrics for Quantitative Dose-Response Analysis in Genetic Toxicology; 2: Measurement and Estimation of Exposures for Better Extrapolation to Humans and 3: The Use of Quantitative Approaches in Genetic Toxicology for human health risk assessment (HHRA). A host of pertinent issues were discussed relating to the use of in vitro and in vivo dose-response data, the development of methods for in vitro to in vivo extrapolation and approaches to use in vivo dose-response data to determine human exposure limits for regulatory evaluations and decision-making. This Special Issue, which was inspired by the workshop, contains a series of papers that collectively address topics related to the aforementioned themes. The Issue includes contributions that collectively evaluate, describe and discuss in silico, in vitro, in vivo and statistical approaches that are facilitating the shift from qualitative hazard evaluation to quantitative risk assessment. The use and application of the benchmark dose approach was a central theme in many of the workshop presentations and discussions, and the Special Issue includes several contributions that outline novel applications for the analysis and interpretation of genetic toxicity data. Although the contents of the Special Issue constitutes an important step towards the adoption of quantitative methods for regulatory assessment of genetic toxicity, formal acceptance of quantitative methods for HHRA and regulatory decision-making will require consensus regarding the

  8. Predicting the risk of rheumatoid arthritis and its age of onset through modelling genetic risk variants with smoking.

    PubMed

    Scott, Ian C; Seegobin, Seth D; Steer, Sophia; Tan, Rachael; Forabosco, Paola; Hinks, Anne; Eyre, Stephen; Morgan, Ann W; Wilson, Anthony G; Hocking, Lynne J; Wordsworth, Paul; Barton, Anne; Worthington, Jane; Cope, Andrew P; Lewis, Cathryn M

    2013-01-01

    The improved characterisation of risk factors for rheumatoid arthritis (RA) suggests they could be combined to identify individuals at increased disease risks in whom preventive strategies may be evaluated. We aimed to develop an RA prediction model capable of generating clinically relevant predictive data and to determine if it better predicted younger onset RA (YORA). Our novel modelling approach combined odds ratios for 15 four-digit/10 two-digit HLA-DRB1 alleles, 31 single nucleotide polymorphisms (SNPs) and ever-smoking status in males to determine risk using computer simulation and confidence interval based risk categorisation. Only males were evaluated in our models incorporating smoking as ever-smoking is a significant risk factor for RA in men but not women. We developed multiple models to evaluate each risk factor's impact on prediction. Each model's ability to discriminate anti-citrullinated protein antibody (ACPA)-positive RA from controls was evaluated in two cohorts: Wellcome Trust Case Control Consortium (WTCCC: 1,516 cases; 1,647 controls); UK RA Genetics Group Consortium (UKRAGG: 2,623 cases; 1,500 controls). HLA and smoking provided strongest prediction with good discrimination evidenced by an HLA-smoking model area under the curve (AUC) value of 0.813 in both WTCCC and UKRAGG. SNPs provided minimal prediction (AUC 0.660 WTCCC/0.617 UKRAGG). Whilst high individual risks were identified, with some cases having estimated lifetime risks of 86%, only a minority overall had substantially increased odds for RA. High risks from the HLA model were associated with YORA (P<0.0001); ever-smoking associated with older onset disease. This latter finding suggests smoking's impact on RA risk manifests later in life. Our modelling demonstrates that combining risk factors provides clinically informative RA prediction; additionally HLA and smoking status can be used to predict the risk of younger and older onset RA, respectively. PMID:24068971

  9. Predicting the risk of rheumatoid arthritis and its age of onset through modelling genetic risk variants with smoking.

    PubMed

    Scott, Ian C; Seegobin, Seth D; Steer, Sophia; Tan, Rachael; Forabosco, Paola; Hinks, Anne; Eyre, Stephen; Morgan, Ann W; Wilson, Anthony G; Hocking, Lynne J; Wordsworth, Paul; Barton, Anne; Worthington, Jane; Cope, Andrew P; Lewis, Cathryn M

    2013-01-01

    The improved characterisation of risk factors for rheumatoid arthritis (RA) suggests they could be combined to identify individuals at increased disease risks in whom preventive strategies may be evaluated. We aimed to develop an RA prediction model capable of generating clinically relevant predictive data and to determine if it better predicted younger onset RA (YORA). Our novel modelling approach combined odds ratios for 15 four-digit/10 two-digit HLA-DRB1 alleles, 31 single nucleotide polymorphisms (SNPs) and ever-smoking status in males to determine risk using computer simulation and confidence interval based risk categorisation. Only males were evaluated in our models incorporating smoking as ever-smoking is a significant risk factor for RA in men but not women. We developed multiple models to evaluate each risk factor's impact on prediction. Each model's ability to discriminate anti-citrullinated protein antibody (ACPA)-positive RA from controls was evaluated in two cohorts: Wellcome Trust Case Control Consortium (WTCCC: 1,516 cases; 1,647 controls); UK RA Genetics Group Consortium (UKRAGG: 2,623 cases; 1,500 controls). HLA and smoking provided strongest prediction with good discrimination evidenced by an HLA-smoking model area under the curve (AUC) value of 0.813 in both WTCCC and UKRAGG. SNPs provided minimal prediction (AUC 0.660 WTCCC/0.617 UKRAGG). Whilst high individual risks were identified, with some cases having estimated lifetime risks of 86%, only a minority overall had substantially increased odds for RA. High risks from the HLA model were associated with YORA (P<0.0001); ever-smoking associated with older onset disease. This latter finding suggests smoking's impact on RA risk manifests later in life. Our modelling demonstrates that combining risk factors provides clinically informative RA prediction; additionally HLA and smoking status can be used to predict the risk of younger and older onset RA, respectively.

  10. Predicting the Risk of Rheumatoid Arthritis and Its Age of Onset through Modelling Genetic Risk Variants with Smoking

    PubMed Central

    Scott, Ian C.; Seegobin, Seth D.; Steer, Sophia; Tan, Rachael; Forabosco, Paola; Hinks, Anne; Eyre, Stephen; Morgan, Ann W.; Wilson, Anthony G.; Hocking, Lynne J.; Wordsworth, Paul; Barton, Anne; Worthington, Jane; Cope, Andrew P.; Lewis, Cathryn M.

    2013-01-01

    The improved characterisation of risk factors for rheumatoid arthritis (RA) suggests they could be combined to identify individuals at increased disease risks in whom preventive strategies may be evaluated. We aimed to develop an RA prediction model capable of generating clinically relevant predictive data and to determine if it better predicted younger onset RA (YORA). Our novel modelling approach combined odds ratios for 15 four-digit/10 two-digit HLA-DRB1 alleles, 31 single nucleotide polymorphisms (SNPs) and ever-smoking status in males to determine risk using computer simulation and confidence interval based risk categorisation. Only males were evaluated in our models incorporating smoking as ever-smoking is a significant risk factor for RA in men but not women. We developed multiple models to evaluate each risk factor's impact on prediction. Each model's ability to discriminate anti-citrullinated protein antibody (ACPA)-positive RA from controls was evaluated in two cohorts: Wellcome Trust Case Control Consortium (WTCCC: 1,516 cases; 1,647 controls); UK RA Genetics Group Consortium (UKRAGG: 2,623 cases; 1,500 controls). HLA and smoking provided strongest prediction with good discrimination evidenced by an HLA-smoking model area under the curve (AUC) value of 0.813 in both WTCCC and UKRAGG. SNPs provided minimal prediction (AUC 0.660 WTCCC/0.617 UKRAGG). Whilst high individual risks were identified, with some cases having estimated lifetime risks of 86%, only a minority overall had substantially increased odds for RA. High risks from the HLA model were associated with YORA (P<0.0001); ever-smoking associated with older onset disease. This latter finding suggests smoking's impact on RA risk manifests later in life. Our modelling demonstrates that combining risk factors provides clinically informative RA prediction; additionally HLA and smoking status can be used to predict the risk of younger and older onset RA, respectively. PMID:24068971

  11. Genetic predisposition to coronary heart disease and stroke using an additive genetic risk score: a population-based study in Greece

    Technology Transfer Automated Retrieval System (TEKTRAN)

    Objective: To determine the extent to which the risk for incident coronary heart disease (CHD) increases in relation to a genetic risk score (GRS) that additively integrates the influence of high-risk alleles in nine documented single nucleotide polymorphisms (SNPs) for CHD, and to examine whether t...

  12. Bringing policy relevance and scientific discipline to environmental risk assessment for genetically modified crops.

    PubMed

    Herman, Rod A; Garcia-Alonso, Monica; Layton, Raymond; Raybould, Alan

    2013-09-01

    Although public opinion is important in deciding what is valued by society, governments have determined that scientific expertise is required to evaluate potential environmental effects of genetically modified (GM) crops. We suggest how to evaluate rigorously the environmental effects of GM crops in the context of a scientific investigation. Following a disciplined scientific approach to environmental risk assessment (ERA) for GM crops should help resolve controversy in identifying and addressing risk.

  13. Safety risks for animals fed genetic modified (GM) plants.

    PubMed

    Bertoni, G; Marsan, P Ajmone

    2005-08-01

    GM plants are widely grown all over the world, but many constraints still tend to discourage their use in Europe. Potential risks suggested to be associated with the use of GM are unexpected gene effects, allergenic potential, antibiotic resistance, gene flow. GM feed safety is presently evaluated by adopting the concept of GM substantial equivalence, by comparison with non-GM isogenic crops. Comparison is based on a wide spectrum of chemical components and on livestock performance. From the available experimental data, currently utilized GM plants appear safe and show no effects on animals or animal products. Hence, although they potentially exist, safety risks caused by the use of GM plants appear to be so low as be negligible in comparison with their potential benefits, if appropriately designed. GM plants represent a valuable option for future breeding, to increase yield while reducing the use of pesticides, improve plant adaptation to unfavourable environments, and produce better quality crops, also from a nutritional point of view. Nonetheless, GM crops are novel foods and the assessment of their safety using a scientific sound approach seems essential to protect the environment, as well as the health of humans and livestock.

  14. A Twelve-SNP Genetic Risk Score Identifies Individuals at Increased Risk for Future Atrial Fibrillation and Stroke

    PubMed Central

    Smith, J. Gustav; Sjögren, Marketa; Lubitz, Steven A.; Ellinor, Patrick T.; Louie, Judy Z.; Catanese, Joseph J.; Engström, Gunnar; Devlin, James J.

    2015-01-01

    Background and Purpose Atrial fibrillation (AF) is prevalent and there is a clinical need for biomarkers to identify individuals at higher risk for AF. Fixed throughout a life course and assayable early in life, genetic biomarkers may meet this need. Here, we investigate whether multiple single nucleotide polymorphisms (SNPs) together as an AF genetic risk score (AF-GRS) can improve prediction of one's risk for AF. Methods In 27,471 participants of the Malmö Diet and Cancer Study, a prospective, community-based cohort, we used Cox models that adjusted for established AF risk factors to assess the association of AF-GRS with incident AF and ischemic stroke. Median follow-up was 14.4 years for incident AF and 14.5 years for ischemic stroke. The AF-GRS comprised 12 SNPs that had been previously shown to be associated with AF at genome-wide significance. Results During follow-up, 2,160 participants experienced a first AF event and 1,495 had a first ischemic stroke event. Participants in the top AF-GRS quintile were at increased risk for incident AF (HR = 2.00; 95%CI = 1.73 to 2.31; P=2.7×10−21) and ischemic stroke (HR = 1.23; 95%CI = 1.04 to 1.46; P=0.02) when compared with the bottom quintile. Addition of the AF-GRS to established AF risk factors modestly improved both discrimination and reclassification (P<0.0001 for both). Conclusions An AF-GRS can identify 20% of individuals who are at approximately two-fold increased risk for incident AF and at 23% increased risk for ischemic stroke. Targeting diagnostic or therapeutic interventions to this subset may prove clinically useful. PMID:25123217

  15. Genetic markers of pigmentation are novel risk loci for uveal melanoma.

    PubMed

    Ferguson, Robert; Vogelsang, Matjaz; Ucisik-Akkaya, Esma; Rai, Karan; Pilarski, Robert; Martinez, Carlos N; Rendleman, Justin; Kazlow, Esther; Nagdimov, Khagay; Osman, Iman; Klein, Robert J; Davidorf, Frederick H; Cebulla, Colleen M; Abdel-Rahman, Mohamed H; Kirchhoff, Tomas

    2016-01-01

    While the role of genetic risk factors in the etiology of uveal melanoma (UM) has been strongly suggested, the genetic susceptibility to UM is currently vastly unexplored. Due to shared epidemiological risk factors between cutaneous melanoma (CM) and UM, in this study we have selected 28 SNPs identified as risk variants in previous genome-wide association studies on CM or CM-related host phenotypes (such as pigmentation and eye color) and tested them for association with UM risk. By logistic regression analysis of 272 UM cases and 1782 controls using an additive model, we identified five variants significantly associated with UM risk, all passing adjustment for multiple testing. The three most significantly associated variants rs12913832 (OR = 0.529, 95% CI 0.415-0.673; p = 8.47E-08), rs1129038 (OR = 0.533, 95% CI 0.419-0.678; p = 1.19E-07) and rs916977 (OR = 0.465, 95% CI 0.339-0.637; p = 3.04E-07) are correlated (r(2) > 0.5) and map at 15q12 in the region of HERC2/OCA2, which determines eye-color in the human population. Our data provides first evidence that the genetic factors associated with pigmentation traits are risk loci of UM susceptibility. PMID:27499155

  16. Genetic markers of pigmentation are novel risk loci for uveal melanoma

    PubMed Central

    Ferguson, Robert; Vogelsang, Matjaz; Ucisik-Akkaya, Esma; Rai, Karan; Pilarski, Robert; Martinez, Carlos N.; Rendleman, Justin; Kazlow, Esther; Nagdimov, Khagay; Osman, Iman; Klein, Robert J.; Davidorf , Frederick H.; Cebulla, Colleen M.; Abdel-Rahman, Mohamed H.; Kirchhoff , Tomas

    2016-01-01

    While the role of genetic risk factors in the etiology of uveal melanoma (UM) has been strongly suggested, the genetic susceptibility to UM is currently vastly unexplored. Due to shared epidemiological risk factors between cutaneous melanoma (CM) and UM, in this study we have selected 28 SNPs identified as risk variants in previous genome-wide association studies on CM or CM-related host phenotypes (such as pigmentation and eye color) and tested them for association with UM risk. By logistic regression analysis of 272 UM cases and 1782 controls using an additive model, we identified five variants significantly associated with UM risk, all passing adjustment for multiple testing. The three most significantly associated variants rs12913832 (OR = 0.529, 95% CI 0.415–0.673; p = 8.47E-08), rs1129038 (OR = 0.533, 95% CI 0.419–0.678; p = 1.19E-07) and rs916977 (OR = 0.465, 95% CI 0.339–0.637; p = 3.04E-07) are correlated (r2 > 0.5) and map at 15q12 in the region of HERC2/OCA2, which determines eye-color in the human population. Our data provides first evidence that the genetic factors associated with pigmentation traits are risk loci of UM susceptibility. PMID:27499155

  17. Population-standardized genetic risk score: the SNP-based method of choice for inherited risk assessment of prostate cancer

    PubMed Central

    Conran, Carly A; Na, Rong; Chen, Haitao; Jiang, Deke; Lin, Xiaoling; Zheng, S Lilly; Brendler, Charles B; Xu, Jianfeng

    2016-01-01

    Several different approaches are available to clinicians for determining prostate cancer (PCa) risk. The clinical validity of various PCa risk assessment methods utilizing single nucleotide polymorphisms (SNPs) has been established; however, these SNP-based methods have not been compared. The objective of this study was to compare the three most commonly used SNP-based methods for PCa risk assessment. Participants were men (n = 1654) enrolled in a prospective study of PCa development. Genotypes of 59 PCa risk-associated SNPs were available in this cohort. Three methods of calculating SNP-based genetic risk scores (GRSs) were used for the evaluation of individual disease risk such as risk allele count (GRS-RAC), weighted risk allele count (GRS-wRAC), and population-standardized genetic risk score (GRS-PS). Mean GRSs were calculated, and performances were compared using area under the receiver operating characteristic curve (AUC) and positive predictive value (PPV). All SNP-based methods were found to be independently associated with PCa (all P < 0.05; hence their clinical validity). The mean GRSs in men with or without PCa using GRS-RAC were 55.15 and 53.46, respectively, using GRS-wRAC were 7.42 and 6.97, respectively, and using GRS-PS were 1.12 and 0.84, respectively (all P < 0.05 for differences between patients with or without PCa). All three SNP-based methods performed similarly in discriminating PCa from non-PCa based on AUC and in predicting PCa risk based on PPV (all P > 0.05 for comparisons between the three methods), and all three SNP-based methods had a significantly higher AUC than family history (all P < 0.05). Results from this study suggest that while the three most commonly used SNP-based methods performed similarly in discriminating PCa from non-PCa at the population level, GRS-PS is the method of choice for risk assessment at the individual level because its value (where 1.0 represents average population risk) can be easily interpreted regardless

  18. Identification of novel genetic risk loci in Maltese dogs with necrotizing meningoencephalitis and evidence of a shared genetic risk across toy dog breeds.

    PubMed

    Schrauwen, Isabelle; Barber, Renee M; Schatzberg, Scott J; Siniard, Ashley L; Corneveaux, Jason J; Porter, Brian F; Vernau, Karen M; Keesler, Rebekah I; Matiasek, Kaspar; Flegel, Thomas; Miller, Andrew D; Southard, Teresa; Mariani, Christopher L; Johnson, Gayle C; Huentelman, Matthew J

    2014-01-01

    Necrotizing meningoencephalitis (NME) affects toy and small breed dogs causing progressive, often fatal, inflammation and necrosis in the brain. Genetic risk loci for NME previously were identified in pug dogs, particularly associated with the dog leukocyte antigen (DLA) class II complex on chromosome 12, but have not been investigated in other susceptible breeds. We sought to evaluate Maltese and Chihuahua dogs, in addition to pug dogs, to identify novel or shared genetic risk factors for NME development. Genome-wide association testing of single nucleotide polymorphisms (SNPs) in Maltese dogs with NME identified 2 regions of genome-wide significance on chromosomes 4 (chr4:74522353T>A, p = 8.1×10-7) and 15 (chr15:53338796A>G, p = 1.5×10-7). Haplotype analysis and fine-mapping suggests that ILR7 and FBXW7, respectively, both important for regulation of immune system function, could be the underlying associated genes. Further evaluation of these regions and the previously identified DLA II locus across all three breeds, revealed an enrichment of nominal significant SNPs associated with chromosome 15 in pug dogs and DLA II in Maltese and Chihuahua dogs. Meta-analysis confirmed effect sizes the same direction in all three breeds for both the chromosome 15 and DLA II loci (p = 8.6×10-11 and p = 2.5×10-7, respectively). This suggests a shared genetic background exists between all breeds and confers susceptibility to NME, but effect sizes might be different among breeds. In conclusion, we identified the first genetic risk factors for NME development in the Maltese, chromosome 4 and chromosome 15, and provide evidence for a shared genetic risk between breeds associated with chromosome 15 and DLA II. Last, DLA II and IL7R both have been implicated in human inflammatory diseases of the central nervous system such as multiple sclerosis, suggesting that similar pharmacotherapeutic targets across species should be investigated.

  19. Genetic variations in the transforming growth factor beta pathway as predictors of bladder cancer risk.

    PubMed

    Wei, Hua; Kamat, Ashish M; Aldousari, Saad; Ye, Yuanqing; Huang, Maosheng; Dinney, Colin P; Wu, Xifeng

    2012-01-01

    Bladder cancer is the fifth most common cancer in the United States, and identifying genetic markers that may predict susceptibility in high-risk population is always needed. The purpose of our study is to determine whether genetic variations in the transforming growth factor-beta (TGF-β) pathway are associated with bladder cancer risk. We identified 356 single-nucleotide polymorphisms (SNPs) in 37 key genes from this pathway and evaluated their association with cancer risk in 801 cases and 801 controls. Forty-one SNPs were significantly associated with cancer risk, and after adjusting for multiple comparisons, 9 remained significant (Q-value ≤0.1). Haplotype analysis further revealed three haplotypes within VEGFC and two haplotypes in EGFR were significantly associated with increased bladder cancer risk compared to the most common haplotype. Classification and regression tree analysis further revealed potential high-order gene-gene interactions, with VEGFC: rs3775194 being the initial split, which suggests that this variant is responsible for the most variation in risk. Individuals carrying the common genotype for VEGFC: rs3775194 and EGFR: rs7799627 and the variant genotype for VEGFR: rs4557213 had a 4.22-fold increase in risk, a much larger effect magnitude than that conferred by common genotype for VEGFR: rs4557213. Our study provides the first epidemiological evidence supporting a connection between TGF-β pathway variants and bladder cancer risk.

  20. Skin Cancer Concerns and Genetic Risk Information-Seeking in Primary Care

    PubMed Central

    Hay, J.; Kaphingst, K.A.; Baser, R.; Li, Y.; Hensley-Alford, S.; McBride, C.M.

    2012-01-01

    Background Genomic testing for common genetic variants associated with skin cancer risk could enable personalized risk feedback to motivate skin cancer screening and sun protection. Methods In a cross-sectional study, we investigated whether skin cancer cognitions and behavioral factors, sociodemographics, family factors, and health information-seeking were related to perceived importance of learning about how (a) genes and (b) health habits affect personal health risks using classification and regression trees (CART). Results The sample (n = 1,772) was collected in a large health maintenance organization as part of the Multiplex Initiative, ranged in age from 25–40, was 53% female, 41% Caucasian, and 59% African-American. Most reported that they placed somewhat to very high importance on learning about how genes (79%) and health habits (88%) affect their health risks. Social influence actors were associated with information-seeking about genes and health habits. Awareness of family history was associated with importance of health habit, but not genetic, information-seeking. Conclusions The investment of family and friends in health promotion may be a primary motivator for prioritizing information-seeking about how genes and health habits affect personal health risks and may contribute to the personal value, or personal utility, of risk information. Individuals who seek such risk information may be receptive to interventions aimed to maximize the social implications of healthy lifestyle change to reduce their health risks. PMID:21921576

  1. The influence of question wording on assessments of interest in genetic testing for breast cancer risk.

    PubMed

    Bottorff, Joan L; Ratner, Pamela A; Richardson, Chris; Balneaves, Lynda G; McCullum, Mary; Hack, Tom; Chalmers, Karen; Buxton, Jane

    2003-01-01

    The purpose of this study was to compare the results of different measures of interest in genetic testing for breast cancer risk. A telephone survey of a random sample of women without breast cancer was conducted in British Columbia, Canada. Interest in genetic testing for breast cancer risk was measured in three ways: (1) an unprompted assessment of interest, (2) assessment of interest when prompted with a hypothetical offer of testing, and (3) assessment of interest when provided with supplementary information. Substantial differences in reported levels of interest in genetic testing were observed across the different assessment approaches, with the unprompted assessment of interest resulting in lowest levels of interest. The highest levels of interest were observed when the assessment of interest was prompted with a hypothetical offer of testing. Factors predicting interest in genetic testing varied depending on the assessment measure used. These findings suggest that more attention must be given to measurement issues, including complete reporting of measures used in research, development of standardized approaches to assessing interest in genetic testing, and more rigorous psychometric evaluations of measures of interest in genetic testing.

  2. Assessing genetic risks: Implications for health and social policy. Executive summary

    SciTech Connect

    Andrews, L.B.; Fullarton, J.E.; Holtzman, N.A.; Motulsky, A.G.

    1994-12-31

    The last decade has seen remarkable growth in the understanding of genetics as applied to medicine. In addition, the technology for the detection of genetic diseases has developed rapidly, and testing for genetic diseases with DNA techniques has become increasingly possible. The last few years have also seen the initiation of the Human Genome Project, the aim of which is mapping and ultimately sequencing all human genes--giving special attention to genes that cause or may predispose to disease. As part of this ambitious project, and for the first time in the history of science, a special effort is being made as part of a large research project to explore its broader social implications. Three to five percent of the funding available for the Human Genome Project has been set aside to study the many social, ethical, and legal implications that will result from better understanding of human heredity and its impact on disease. Since assessment of genetic risks by genetic testing is expanding rapidly, the Institute of medicine (IOM) of the National Academy of Sciences undertook this study to assess the current status and future implications of such testing. This study deals with some of the scientific aspects of genetic risk assessment as well as the many societal problems that have already arisen and are likely to be posed by future developments.

  3. Association between interleukin-22 genetic polymorphisms and bladder cancer risk

    PubMed Central

    Zhao, Tao; Wu, XiaoHou; Liu, JiaJi

    2015-01-01

    OBJECTIVE: The cytokine interleukin-22 (IL-22), which is produced by T cells and natural killer cells, is associated with tumorigenesis and tumor progression in cancers. However, the role of IL-22 in bladder cancer has not been investigated. MATERIALS AND METHODS: A prospective hospital-based case-control study comprising 210 patients with pathologically proven bladder cancer and 210 age- and gender-matched healthy controls was conducted. The genotypes of 3 common polymorphisms (-429 C/T, +1046 T/A and +1995 A/C) of the IL-22 gene were determined with fluorogenic 5' exonuclease assays. RESULTS: Patients with bladder cancer had a significantly higher frequency of the IL-22 -429 TT genotype [odds ratio (OR)=2.04, 95% confidence interval (CI)=1.19, 3.49; p=0.009] and -429 T allele (OR=1.42, 95% CI=1.08, 1.87; p=0.01) than the healthy controls. These findings were still significant after a Bonferroni correction. When stratifying according to the stage of bladder cancer, we found that patients with superficial bladder cancer had a significantly lower frequency of the IL-22 -429 TT genotype (OR=0.48, 95% CI=0.23, 0.98; p=0.04). When stratifying according to the grade and histological type of bladder cancer, we found no statistical association. The IL-22 +1046 T/A and IL-22 +1995 A/C gene polymorphisms were not associated with the risk of bladder cancer. CONCLUSION: To the authors' knowledge, this is the first report documenting that the IL-22 -429 C/T gene polymorphism is associated with bladder cancer risk. Additional studies are required to confirm this finding. PMID:26598081

  4. MTHFR genetic polymorphism increases the risk of preterm delivery

    PubMed Central

    Nan, Yanrong; Li, Hongmei

    2015-01-01

    Aims: This study aimed to investigate the association between the methylene tetrahydrofolate reductase (MTHFR) gene C677T and A1298C polymorphisms and premature delivery susceptibility. Methods: With matched age and gender, 108 premature delivery pregnant women as cases and 108 healthy pregnant women as controls were recruited in this case-control study. The cases and controls had same gestational weeks. Polymerase chain reaction-restriction fragment length polymorphism (PCR-RFLP) method was adopted to analyze C677T and A1298C polymorphisms of the participants. Linkage disequilibrium (LD) and haplotype analysis were conducted by Haploview software. The differences for frequencies of gene type, allele and haplotypes in cases and controls were tested by chi-square test. The relevant risk of premature delivery was represented by odds ratios (ORs) with 95% confidence intervals (95% CIs). Results: TT gene type frequency of C677T polymorphsim was higher in cases than the controls (P=0.004, OR=3.077, 95% CI=1.469-6.447), so was allele T (P=0.002, OR=1.853, 95% CI=1.265-2.716). Whereas, CC gene type of A1298C polymorphism had a lower distribution in cases than the controls (P=0.008, OR=0.095, 95% CI=0.012-0.775), so was allele C (P=0.047, OR=0.610, 95% CI=0.384-0.970). Haplotype analysis and linkage disequilibrium test conducted on the alleles of two polymorphisms in MTHFR gene, we discovered that haplotype T-A had a higher distribution in cases, which indicated that susceptible haplotype T-A was the candidate factor for premature delivery. Conclusions: Gene type TT of MTHFR C677T polymorphism might make premature delivery risk rise while gene type CC of A1298C polymorphism might have protective influence on premature delivery. PMID:26261642

  5. Genetic influences on blood lipids and cardiovascular disease risk: tools for primary prevention

    Technology Transfer Automated Retrieval System (TEKTRAN)

    Genetic polymorphism in the human population is part of the evolutionary process that results from the interaction between the environment and the human genome. Recent changes in diet have upset this equilibrium, potentially influencing the risk of most common morbidities such as cardiovascular dise...

  6. DEVELOPING MECHANISTIC DATA FOR INCORPORATION INTO CANCER AND GENETIC RISK ASSESSMENTS: OLD PROBLEMS AND NEW APPROACHES

    EPA Science Inventory

    26th Lauriston S. Taylor Lecture
    DEVELOPING MECHANISTIC DATA FOR INCORPORATION INTO CANCER AND
    GENETIC RISK ASSESSMENTS: OLD PROBLEMS AND NEW APPROACHES
    R. Julian Preston, Environmental Carcinogenesis Division, U.S. Environmental Protection
    Agency, NHEERL, Research Tr...

  7. Pathways to Childhood Depressive Symptoms: The Role of Social, Cognitive, and Genetic Risk Factors

    ERIC Educational Resources Information Center

    Lau, Jennifer Y. F.; Rijsdijk, Fruhling; Gregory, Alice M.; McGuffin, Peter; Eley, Thalia C.

    2007-01-01

    Childhood depressive conditions have been explored from multiple theoretical approaches but with few empirical attempts to address the interrelationships among these different domains and their combined effects. In the present study, the authors examined different pathways through which social, cognitive, and genetic risk factors may be expressed…

  8. Risk Terminology in Biobanking and Genetic Research: What’s in a name?

    PubMed Central

    Quinn, Gwendolyn P.; Castañeda, Heide; Pal, Tuya; Rice, Janique L.; Meade, Cathy D.; Gwede, Clement K.

    2013-01-01

    It is well established that the general public has varying interpretations of the term “risk” and the qualifiers associated with it, such as low, moderate, or high. What is less well known is how definition and application of this term impacts recruitment of individuals, particularly for biomedical and behavioral research designed to improve knowledge of and access to innovations in cancer genetics. This Commentary discusses the nomenclature used in bio-behavioral research and the potential for confusion due to divergent meanings of risk and its associated categorizations. We discuss both our experience with recruitment of familial cancer families for a study on perceptions of biobanking as well as lessons learned from published examples where divergent understanding of risk levels, genetic research processes, and interpretation of results between community members and researchers result in misunderstandings for both parties. Ultimately, a critical challenge remains to ensure that accurate and mutually relevant risk terms are used in recruiting research participants and providing genetic results. Achieving this goal requires that regulations, policy, education and practice change in step with rapid discoveries in genetic research to reduce misinterpretations resulting from lack of common understanding and specificity in risk terminology. PMID:23824712

  9. Genetic Associations With White Matter Hyperintensities Confer Risk of Lacunar Stroke

    PubMed Central

    Rutten-Jacobs, Loes C.A.; Thijs, Vincent; Holliday, Elizabeth G.; Levi, Chris; Bevan, Steve; Malik, Rainer; Boncoraglio, Giorgio; Sudlow, Cathie; Rothwell, Peter M.; Dichgans, Martin; Markus, Hugh S.

    2016-01-01

    Background and Purpose— White matter hyperintensities (WMH) are increased in patients with lacunar stroke. Whether this is because of shared pathogenesis remains unknown. Using genetic data, we evaluated whether WMH-associated genetic susceptibility factors confer risk of lacunar stroke, and therefore whether they share pathogenesis. Methods— We used a genetic risk score approach to test whether single nucleotide polymorphisms associated with WMH in community populations were associated with magnetic resonance imaging–confirmed lacunar stroke (n=1,373), as well as cardioembolic (n=1,331) and large vessel (n=1,472) Trial of Org 10172 in Acute Stroke Treatment subtypes, against 9,053 controls. Second, we separated lacunar strokes into those with WMH (n=568) and those without (n=787) and tested for association with the risk score in these 2 groups. In addition, we evaluated whether WMH-associated single nucleotide polymorphisms are associated with lacunar stroke, or in the 2 groups. Results— The WMH genetic risk score was associated with lacunar stroke (odds ratio [OR; 95% confidence interval [CI

  10. Cost-effectiveness of a genetic test for breast cancer risk.

    PubMed

    Folse, Henry J; Green, Linda E; Kress, Andrea; Allman, Richard; Dinh, Tuan A

    2013-12-01

    Genetic testing of seven single-nucleotide polymorphisms (7SNP) can improve estimates of risk of breast cancer relative to the Gail risk test alone, for the purpose of recommending MRI screening for women at high risk. A simulation of breast cancer and health care processes was used to conduct a virtual trial comparing the use of the 7SNP test with the Gail risk test to categorize patients by risk. Average-risk patients received annual mammogram, whereas high-risk patients received annual MRI. Cancer incidence was based on Surveillance, Epidemiology, and End Results data and validated to Cancer Prevention Study II Nutrition Cohort data. Risk factor values were drawn from National Health and Nutrition Examination Survey (NHANES-4) and Prostate, Lung, Colorectal, and Ovarian Cancer Screening Trial data. Mammogram characteristics were derived from Breast Cancer Surveillance Consortium data. The test was most cost-effective when given to patients at an intermediate lifetime risk of breast cancer. For patients with a risk of 16% to 28%, it resulted in a 1.91% reduction in cancer deaths, saving 0.005 quality-adjusted life years per person at a cost of $163,264 per QALY. These results were sensitive to the age at which the test is given, the discount rate, and the costs of the genetic test and MRI. The cost effectiveness of using the 7SNP test for patients with intermediate Gail risk is similar to that of other recommended strategies, including annual MRI for patients with a lifetime risk greater than 20% or BRCA1/2 mutations. PMID:24309564

  11. Placental genetic variations in circadian clock-related genes increase the risk of placental abruption

    PubMed Central

    Qiu, Chunfang; Gelaye, Bizu; Denis, Marie; Tadesse, Mahlet G; Enquobahrie, Daniel A; Ananth, Cande V; Pacora, Percy N; Salazar, Manuel; Sanchez, Sixto E; Williams, Michelle A

    2016-01-01

    The genetic architecture of placental abruption (PA) remains poorly understood. We examined variations in SNPs of circadian clock-related genes in placenta with PA risk. We also explored placental and maternal genomic contributions to PA risk. Placental genomic DNA samples were isolated from 280 PA cases and 244 controls. Genotyping was performed using the Illumina Cardio-MetaboChip. We examined 116 SNPs in 13 genes known to moderate circadian rhythms. Logistic regression models were fit to estimate odds ratios (ORs). The combined effect of multiple SNPs on PA risk was estimated using a weighted genetic risk score. We examined independent and joint associations of wGRS derived from placental and maternal genomes with PA. Seven SNPs in five genes (ARNTL2, CRY2, DEC1, PER3 and RORA), in the placental genome, were associated with PA risk. Each copy of the minor allele (G) of a SNP in the RORA gene (rs2899663) was associated with a 30% reduced odds of PA (95% CI 0.52-0.95). The odds of PA increased with increasing placental-wGRS (Ptrend<0.001). The ORs were 1.00, 2.16, 3.24 and 4.48 across quartiles. Associations persisted after the maternal-wGRS was included in the model. There was evidence of an additive contribution of placental and maternal genetic contributions to PA risk. Participants with placental- and maternal-wGRS in the highest quartile, compared with those in the lowest quartile, had a 15.57-fold (95% CI 3.34-72.60) increased odds of PA. Placental variants in circadian clock-related genes are associated with PA risk; and the association persists after control of genetic variants in the maternal genome. PMID:27186326

  12. Social Engagement with Parents in 11-Month-Old Siblings at High and Low Genetic Risk for Autism Spectrum Disorder

    ERIC Educational Resources Information Center

    Campbell, Susan B.; Leezenbaum, Nina B.; Mahoney, Amanda S.; Day, Taylor N.; Schmidt, Emily N.

    2015-01-01

    Infant siblings of children with an autism spectrum disorder are at heightened genetic risk to develop autism spectrum disorder. We observed high risk (n?=?35) and low risk (n?=?27) infants at 11?months during free play with a parent. Children were assessed for autism spectrum disorder in toddlerhood. High-risk infants with a later diagnosis…

  13. Familial and Genetic Risk of Transitional Cell Carcinoma of the Urinary Tract

    PubMed Central

    Mueller, Christine M.; Caporaso, Neil; Greene, Mark H.

    2008-01-01

    Environmental exposures, including tobacco smoke and occupational exposure to aromatic amines, have been implicated in bladder cancer etiology. However, the pathogenesis of urinary bladder transitional cell carcinoma remains incompletely defined. In epidemiologic studies, family history confers a two-fold increase in bladder cancer risk, but it is uncertain whether this represents evidence of a genetic and/or a shared environmental basis for familial aggregation. Polymorphisms in genes involved in the metabolism of environmental toxins (e.g., NAT2) clearly modify individual susceptibility to bladder cancer. A genetic predisposition has also been suggested by case reports describing multiple-case families, and the development of bladder cancer in association with several well-described Mendelian disorders (e.g., HNPCC, retinoblastoma). Here we update a previously-reported family, report a new multiple-case kindred, critically review previously-reported bladder cancer families and the epidemiologic literature related to family history of transitional cell carcinoma of the urinary tract (TCCUT) as a risk factor, as well as provide a brief summary of genetic factors that have been implicated in TCCUT risk. We conclude that familial TCCUT is either very uncommon or significantly under-reported, perhaps on the assumption that this is an environmental rather than a genetic disorder. The interaction between multiple genetic and environmental factors has made it challenging to identify genetic components responsible for many common diseases; therefore, a proposed genome-wide association study (GWAS) for urinary bladder cancer may help to clarify the etiologic role of the candidate genetic pathways reviewed here, as well as characterize gene/environment interactions that contribute to TCCUT carcinogenesis. PMID:18562223

  14. Assessing the benefits and risks of translocations in changing environments: a genetic perspective

    PubMed Central

    Weeks, Andrew R; Sgro, Carla M; Young, Andrew G; Frankham, Richard; Mitchell, Nicki J; Miller, Kim A; Byrne, Margaret; Coates, David J; Eldridge, Mark D B; Sunnucks, Paul; Breed, Martin F; James, Elizabeth A; Hoffmann, Ary A

    2011-01-01

    Translocations are being increasingly proposed as a way of conserving biodiversity, particularly in the management of threatened and keystone species, with the aims of maintaining biodiversity and ecosystem function under the combined pressures of habitat fragmentation and climate change. Evolutionary genetic considerations should be an important part of translocation strategies, but there is often confusion about concepts and goals. Here, we provide a classification of translocations based on specific genetic goals for both threatened species and ecological restoration, separating targets based on ‘genetic rescue’ of current population fitness from those focused on maintaining adaptive potential. We then provide a framework for assessing the genetic benefits and risks associated with translocations and provide guidelines for managers focused on conserving biodiversity and evolutionary processes. Case studies are developed to illustrate the framework. PMID:22287981

  15. The Association between Infants' Attention Control and Social Inhibition Is Moderated by Genetic and Environmental Risk for Anxiety

    ERIC Educational Resources Information Center

    Brooker, Rebecca J.; Neiderhiser, Jenae M.; Kiel, Elizabeth J.; Leve, Leslie D.; Shaw, Daniel S.; Reiss, David

    2011-01-01

    Infant social inhibition is associated with increased risk for anxiety later in life. Although both genetic and environmental factors are associated with anxiety, little empirical work has addressed how developing regulatory abilities work with genetic and environmental risk to exacerbate or mitigate problem behaviors. The current study was aimed…

  16. A multi-case report of the pathways to and through genetic testing and cancer risk management for BRCA mutation-positive women aged 18–25

    PubMed Central

    Werner-Lin, Allison

    2012-01-01

    Much of the extant literature addressing the psychosocial aspects of BRCA1/2 mutation testing and risk management aggregates mutation carriers of all ages in study recruitment, data analysis, and interpretation. This analytic strategy does not adequately address the needs of the youngest genetic testing consumers, i.e., women aged 18–25. Despite low absolute cancer risk estimates before age 30, BRCA1/2 mutation-positive women aged 18–25 feel vulnerable to a cancer diagnosis but find themselves in a management quandary because the clinical utility of screening and prevention options are not yet well defined for such young carriers. We present three cases, selected from a larger study of 32 BRCA1/2 mutation-positive women who completed or considered genetic testing before age 25, to demonstrate the unique developmental, relational and temporal influences, as well as the challenges, experienced by very young BRCA mutation-positive women as they complete genetic testing and initiate cancer risk management. The first case describes the maturation of a young woman whose family participated in a national cancer registry. The second addresses the experiences and expectations of a young woman who completed genetic testing after learning that her unaffected father was a mutation carrier. The third case highlights the experiences of a young woman parentally bereaved in childhood, who presented for genetic counseling and testing due to intense family pressure. Together, these cases suggest that BRCA1/2-positive women aged 18–25 are challenged to reconcile their burgeoning independence from their families with risk-related support needs. Loved ones acting in ways meant to care for these young women may inadvertently apply pressure, convoluting family support dynamics and autonomous decision-making. Ongoing support from competent healthcare professionals will enable these young women to remain informed and receive objective counsel about their risk-management decisions

  17. The structure of genetic and environmental risk factors for fears and phobias

    PubMed Central

    Loken, E. K.; Hettema, J.M.; Aggen, S.H.; Kendler, K. S.

    2014-01-01

    Background Although prior genetic studies of interview-assessed fears and phobias have shown that genetic factors predispose individuals to fears and phobias, they have been restricted to the DSM-III to DSM-IV aggregated subtypes of phobias rather than to individual fearful and phobic stimuli. Method We examined the lifetime history of fears and/or phobias in response to 21 individual phobic stimuli in 4067 personally interviewed twins from same-sex pairs from the Virginia Adult Twin Study of Psychiatric and Substance Abuse Disorders (VATSPSUD). We performed multivariate statistical analyses using Mx and Mplus. Results The best-fitting model for the 21 phobic stimuli included four genetic factors (agora-social-acrophobia, animal phobia, blood-injection-illness phobia and claustrophobia) and three environmental factors (agora-social-hospital phobia, animal phobia, and situational phobia). Conclusions This study provides the first view of the architecture of genetic and environmental risk factors for phobic disorders and their subtypes. The genetic factors of the phobias support the DSM-IV and DSM-5 constructs of animal and blood-injection-injury phobias but do not support the separation of agoraphobia from social phobia. The results also do not show a coherent genetic factor for the DSM-IV and DSM-5 situational phobia. Finally, the patterns of co-morbidity across individual fears and phobias produced by genetic and environmental influences differ appreciably. PMID:24384457

  18. The effect of increased genetic risk for Alzheimer's disease on hippocampal and amygdala volume.

    PubMed

    Lupton, Michelle K; Strike, Lachlan; Hansell, Narelle K; Wen, Wei; Mather, Karen A; Armstrong, Nicola J; Thalamuthu, Anbupalam; McMahon, Katie L; de Zubicaray, Greig I; Assareh, Amelia A; Simmons, Andrew; Proitsi, Petroula; Powell, John F; Montgomery, Grant W; Hibar, Derrek P; Westman, Eric; Tsolaki, Magda; Kloszewska, Iwona; Soininen, Hilkka; Mecocci, Patrizia; Velas, Bruno; Lovestone, Simon; Brodaty, Henry; Ames, David; Trollor, Julian N; Martin, Nicholas G; Thompson, Paul M; Sachdev, Perminder S; Wright, Margaret J

    2016-04-01

    Reduction in hippocampal and amygdala volume measured via structural magnetic resonance imaging is an early marker of Alzheimer's disease (AD). Whether genetic risk factors for AD exert an effect on these subcortical structures independent of clinical status has not been fully investigated. We examine whether increased genetic risk for AD influences hippocampal and amygdala volumes in case-control and population cohorts at different ages, in 1674 older (aged >53 years; 17% AD, 39% mild cognitive impairment [MCI]) and 467 young (16-30 years) adults. An AD polygenic risk score combining common risk variants excluding apolipoprotein E (APOE), and a single nucleotide polymorphism in TREM2, were both associated with reduced hippocampal volume in healthy older adults and those with MCI. APOE ε4 was associated with hippocampal and amygdala volume in those with AD and MCI but was not associated in healthy older adults. No associations were found in young adults. Genetic risk for AD affects the hippocampus before the clinical symptoms of AD, reflecting a neurodegenerative effect before clinical manifestations in older adults.

  19. The effect of increased genetic risk for Alzheimer's disease on hippocampal and amygdala volume.

    PubMed

    Lupton, Michelle K; Strike, Lachlan; Hansell, Narelle K; Wen, Wei; Mather, Karen A; Armstrong, Nicola J; Thalamuthu, Anbupalam; McMahon, Katie L; de Zubicaray, Greig I; Assareh, Amelia A; Simmons, Andrew; Proitsi, Petroula; Powell, John F; Montgomery, Grant W; Hibar, Derrek P; Westman, Eric; Tsolaki, Magda; Kloszewska, Iwona; Soininen, Hilkka; Mecocci, Patrizia; Velas, Bruno; Lovestone, Simon; Brodaty, Henry; Ames, David; Trollor, Julian N; Martin, Nicholas G; Thompson, Paul M; Sachdev, Perminder S; Wright, Margaret J

    2016-04-01

    Reduction in hippocampal and amygdala volume measured via structural magnetic resonance imaging is an early marker of Alzheimer's disease (AD). Whether genetic risk factors for AD exert an effect on these subcortical structures independent of clinical status has not been fully investigated. We examine whether increased genetic risk for AD influences hippocampal and amygdala volumes in case-control and population cohorts at different ages, in 1674 older (aged >53 years; 17% AD, 39% mild cognitive impairment [MCI]) and 467 young (16-30 years) adults. An AD polygenic risk score combining common risk variants excluding apolipoprotein E (APOE), and a single nucleotide polymorphism in TREM2, were both associated with reduced hippocampal volume in healthy older adults and those with MCI. APOE ε4 was associated with hippocampal and amygdala volume in those with AD and MCI but was not associated in healthy older adults. No associations were found in young adults. Genetic risk for AD affects the hippocampus before the clinical symptoms of AD, reflecting a neurodegenerative effect before clinical manifestations in older adults. PMID:26973105

  20. Genetically Determined Amerindian Ancestry Correlates with Increased Frequency of Risk Alleles for Systemic Lupus Erythematosus

    PubMed Central

    Sanchez, E; Webb, R; Rasmussen, A.; Kelly, J.A; Riba, L.; Kaufman, K.M.; Garcia-de la Torre, I.; Moctezuma, J.F.; Maradiaga-Ceceña, M.A.; Cardiel, M.; Acevedo, E.; Cucho-Venegas, M.; Garcia, M.A.; Gamron, S.; Pons-Estel, B.A.; Vasconcelos, C.; Martin, J.; Tusié-Luna, T.; Harley, J.B.; Richardson, B.; Sawalha, A.H.; Alarcón-Riquelme, M.E.

    2011-01-01

    Objectives To analyze if genetically determined Amerindian ancestry predicts the increased presence of risk alleles of known susceptibility genes for systemic lupus erythematosus. Methods Single nucleotide polymorphisms within 16 confirmed genetic susceptibility loci for SLE were genotyped in a set of 804 Mestizo lupus patients and 667 Mestizo normal healthy controls. In addition, 347 admixture informative markers were genotyped. Individual ancestry proportions were determined using STRUCTURE. Association analysis was performed using PLINK, and correlation of the presence of risk alleles with ancestry was done using linear regression. Results A meta-analysis of the genetic association of the 16 SNPs across populations showed that TNFSF4, STAT4, PDCD1, ITGAM, and IRF5 were associated with lupus in a Hispanic-Mestizo cohort enriched for European and Amerindian ancestry. In addition, two SNPs within the MHC region, previously associated in a genome-wide association study in Europeans, were also associated in Mestizos. Using linear regression we predict an average increase of 2.34 risk alleles when comparing a lupus patient with 100% Amerindian ancestry to an SLE patient with 0% American Indian Ancestry (p<0.0001). SLE patients with 43% more Amerindian ancestry are predicted to carry one additional risk allele. Conclusion Amerindian ancestry increased the number of risk alleles for lupus. PMID:20848568

  1. The Geographic Distribution of Genetic Risk as Compared to Social Risk for Chronic Diseases in the United States.

    PubMed

    Rehkopf, David H; Domingue, Benjamin W; Cullen, Mark R

    2016-01-01

    There is an association between chronic disease and geography, and there is evidence that the environment plays a critical role in this relationship. Yet at the same time, there is known to be substantial geographic variation by ancestry across the United States. Resulting geographic genetic variation-that is, the extent to which single nucleotide polymorphisms (SNPs) related to chronic disease vary spatially-could thus drive some part of the association between geography and disease. We describe the variation in chronic disease genetic risk by state of birth by taking risk SNPs from genome-wide association study meta-analyses for coronary artery disease, diabetes, and ischemic stroke and creating polygenic risk scores. We compare the amount of variability across state of birth in these polygenic scores to the variability in parental education, own education, earnings, and wealth. Our primary finding is that the polygenic risk scores are only weakly differentially distributed across U.S. states. The magnitude of the differences in geographic distribution is very small in comparison to the distribution of social and economic factors and thus is not likely sufficient to have a meaningful effect on geographic disease differences by U.S. state. PMID:27050037

  2. Risk factors for venous thromboembolism in women under combined oral contraceptive. The PILl Genetic RIsk Monitoring (PILGRIM) Study.

    PubMed

    Suchon, Pierre; Al Frouh, Fadi; Henneuse, Agathe; Ibrahim, Manal; Brunet, Dominique; Barthet, Marie-Christine; Aillaud, Marie-Françoise; Venton, Geoffroy; Alessi, Marie-Christine; Trégouët, David-Alexandre; Morange, Pierre-Emmanuel

    2016-01-01

    Identifying women at risk of venous thromboembolism (VTE) is a major public health issue. The objective of this study was to identify environmental and genetic determinants of VTE risk in a large sample of women under combined oral contraceptives (COC). A total of 968 women who had had one event of VTE during COC use were compared to 874 women under COC but with no personal history of VTE. Clinical data were collected and a systematic thrombophilia screening was performed together with ABO blood group assessment. After adjusting for age, family history, and type and duration of COC use, main environmental determinants of VTE were smoking (odds ratio [OR] =1.65, 95% confidence interval [1.30-2.10]) and a body mass index higher than 35 kg.m⁻² (OR=3.46 [1.81-7.03]). In addition, severe inherited thrombophilia (OR=2.13 [1.32-3.51]) and non-O blood groups (OR=1.98 [1.57-2.49]) were strong genetic risk factors for VTE. Family history poorly predicted thrombophilia as its prevalence was similar in patients with or without first degree family history of VTE (29.3% vs 23.9%, p=0.09). In conclusion, this study confirms the influence of smoking and obesity and shows for the first time the impact of ABO blood group on the risk of VTE in women under COC. It also confirms the inaccuracy of the family history of VTE to detect inherited thrombophilia.

  3. Genetically engineered Oenococcus oeni strains to highlight the impact of estA2 and estA7 esterase genes on wine ester profile.

    PubMed

    Darsonval, M; Alexandre, H; Grandvalet, C

    2016-12-01

    Besides deacidifying wine, Oenococcus oeni bring significant changes in the chemical composition of wine by releasing esters by the action of their own esterases. The impact of O. oeni esterases remains relatively unexplored. Four esterase genes were identified from O. oeni genome (estA2, estA7, estC, and estB). The dual objective of this study was, first to use a genetic tool enabling the expression of esterase genes in enological conditions and, second, to investigate the impact of O. oeni esterase gene expression during winemaking on wine aromatic profile. Both estA2 and estA7 genes were successfully cloned and expressed in O. oeni and recombinant strains were inoculated in Aligoté wine to initiate malolactic fermentation (MLF). Ester profile of experimental wine was established by SPME-GC-MS. EstA2 caused significant decreases in the concentrations of isoamyl acetate, ethyl hexanoate, isobutyl acetate, and hexyl acetate, by 42.7%, 23.4%, 51.5%, and 28.9%, respectively. EstA2 has preferential hydrolytic activity toward acetate esters from higher alcohols. EstA7 has synthetic activity toward hexyl acetate with a significant 22.7% increase. This study reports the first efficient expression system enabling the production of a functional protein in O. oeni in enological conditions. PMID:27554142

  4. Low levels of hybridization between sympatric Arctic char (Salvelinus alpinus) and Dolly Varden char (Salvelinus malma) highlights their genetic distinctiveness and ecological segregation

    PubMed Central

    May-McNally, Shannan L; Quinn, Thomas P; Taylor, Eric B

    2015-01-01

    Understanding the extent of interspecific hybridization and how ecological segregation may influence hybridization requires comprehensively sampling different habitats over a range of life history stages. Arctic char (Salvelinus alpinus) and Dolly Varden (S. malma) are recently diverged salmonid fishes that come into contact in several areas of the North Pacific where they occasionally hybridize. To better quantify the degree of hybridization and ecological segregation between these taxa, we sampled over 700 fish from multiple lake (littoral and profundal) and stream sites in two large, interconnected southwestern Alaskan lakes. Individuals were genotyped at 12 microsatellite markers, and genetic admixture (Q) values generated through Bayesian-based clustering revealed hybridization levels generally lower than reported in a previous study (<0.6% to 5% of samples classified as late-generation hybrids). Dolly Varden and Arctic char tended to make different use of stream habitats with the latter apparently abandoning streams for lake habitats after 2–3 years of age. Our results support the distinct biological species status of Dolly Varden and Arctic char and suggest that ecological segregation may be an important factor limiting opportunities for hybridization and/or the ecological performance of hybrid char. PMID:26356310

  5. Low levels of hybridization between sympatric Arctic char (Salvelinus alpinus) and Dolly Varden char (Salvelinus malma) highlights their genetic distinctiveness and ecological segregation.

    PubMed

    May-McNally, Shannan L; Quinn, Thomas P; Taylor, Eric B

    2015-08-01

    Understanding the extent of interspecific hybridization and how ecological segregation may influence hybridization requires comprehensively sampling different habitats over a range of life history stages. Arctic char (Salvelinus alpinus) and Dolly Varden (S. malma) are recently diverged salmonid fishes that come into contact in several areas of the North Pacific where they occasionally hybridize. To better quantify the degree of hybridization and ecological segregation between these taxa, we sampled over 700 fish from multiple lake (littoral and profundal) and stream sites in two large, interconnected southwestern Alaskan lakes. Individuals were genotyped at 12 microsatellite markers, and genetic admixture (Q) values generated through Bayesian-based clustering revealed hybridization levels generally lower than reported in a previous study (<0.6% to 5% of samples classified as late-generation hybrids). Dolly Varden and Arctic char tended to make different use of stream habitats with the latter apparently abandoning streams for lake habitats after 2-3 years of age. Our results support the distinct biological species status of Dolly Varden and Arctic char and suggest that ecological segregation may be an important factor limiting opportunities for hybridization and/or the ecological performance of hybrid char.

  6. Parent of origin, mosaicism, and recurrence risk: probabilistic modeling explains the broken symmetry of transmission genetics.

    PubMed

    Campbell, Ian M; Stewart, Jonathan R; James, Regis A; Lupski, James R; Stankiewicz, Paweł; Olofsson, Peter; Shaw, Chad A

    2014-10-01

    Most new mutations are observed to arise in fathers, and increasing paternal age positively correlates with the risk of new variants. Interestingly, new mutations in X-linked recessive disease show elevated familial recurrence rates. In male offspring, these mutations must be inherited from mothers. We previously developed a simulation model to consider parental mosaicism as a source of transmitted mutations. In this paper, we extend and formalize the model to provide analytical results and flexible formulas. The results implicate parent of origin and parental mosaicism as central variables in recurrence risk. Consistent with empirical data, our model predicts that more transmitted mutations arise in fathers and that this tendency increases as fathers age. Notably, the lack of expansion later in the male germline determines relatively lower variance in the proportion of mutants, which decreases with paternal age. Subsequently, observation of a transmitted mutation has less impact on the expected risk for future offspring. Conversely, for the female germline, which arrests after clonal expansion in early development, variance in the mutant proportion is higher, and observation of a transmitted mutation dramatically increases the expected risk of recurrence in another pregnancy. Parental somatic mosaicism considerably elevates risk for both parents. These findings have important implications for genetic counseling and for understanding patterns of recurrence in transmission genetics. We provide a convenient online tool and source code implementing our analytical results. These tools permit varying the underlying parameters that influence recurrence risk and could be useful for analyzing risk in diverse family structures.

  7. Communicating Genetic Risk Information for Common Disorders in the Era of Genomic Medicine

    PubMed Central

    Lautenbach, Denise M.; Christensen, Kurt D.; Sparks, Jeffrey A.; Green, Robert C.

    2013-01-01

    Communicating genetic risk information in ways that maximize understanding and promote health is increasingly important given the rapidly expanding availability and capabilities of genomic technologies. A well-developed literature on risk communication in general provides guidance for best practices, including presentation of information in multiple formats, attention to framing effects, use of graphics, sensitivity to the way numbers are presented, parsimony of information, attentiveness to emotions, and interactivity as part of the communication process. Challenges to communicating genetic risk information include deciding how best to tailor it, streamlining the process, deciding what information to disclose, accepting that communications may have limited influence, and understanding the impact of context. Meeting these challenges has great potential for empowering individuals to adopt healthier lifestyles and improve public health, but will require multidisciplinary approaches and collaboration. PMID:24003856

  8. Education and Genetic Risk Modulate Hippocampal Structure in Alzheimer’s Disease

    PubMed Central

    Baumgaertel, Johanna; Haussmann, Robert; Gruschwitz, Antonia; Werner, Annett; Osterrath, Antje; Lange, Jan; Donix, Katharina L.; Linn, Jennifer; Donix, Markus

    2016-01-01

    Genetic and environmental protective factors and risks modulate brain structure and function in neurodegenerative diseases and their preclinical stages. We wanted to investigate whether the years of formal education, a proxy measure for cognitive reserve, would influence hippocampal structure in Alzheimer’s disease patients, and whether apolipoprotein Eε4 (APOE4) carrier status and a first-degree family history of the disease would change a possible association. Fifty-eight Alzheimer’s disease patients underwent 3T magnetic resonance imaging. We applied a cortical unfolding approach to investigate individual subregions of the medial temporal lobe. Among patients homozygous for the APOE4 genotype or carrying both APOE4 and family history risks, lower education was associated with a thinner cortex in multiple medial temporal regions, including the hippocampus. Our data suggest that the years of formal education and genetic risks interact in their influence on hippocampal structure in Alzheimer’s disease patients. PMID:27699079

  9. Education and Genetic Risk Modulate Hippocampal Structure in Alzheimer’s Disease

    PubMed Central

    Baumgaertel, Johanna; Haussmann, Robert; Gruschwitz, Antonia; Werner, Annett; Osterrath, Antje; Lange, Jan; Donix, Katharina L.; Linn, Jennifer; Donix, Markus

    2016-01-01

    Genetic and environmental protective factors and risks modulate brain structure and function in neurodegenerative diseases and their preclinical stages. We wanted to investigate whether the years of formal education, a proxy measure for cognitive reserve, would influence hippocampal structure in Alzheimer’s disease patients, and whether apolipoprotein Eε4 (APOE4) carrier status and a first-degree family history of the disease would change a possible association. Fifty-eight Alzheimer’s disease patients underwent 3T magnetic resonance imaging. We applied a cortical unfolding approach to investigate individual subregions of the medial temporal lobe. Among patients homozygous for the APOE4 genotype or carrying both APOE4 and family history risks, lower education was associated with a thinner cortex in multiple medial temporal regions, including the hippocampus. Our data suggest that the years of formal education and genetic risks interact in their influence on hippocampal structure in Alzheimer’s disease patients.

  10. Genetic determinants of telomere length and risk of common cancers: a Mendelian randomization study.

    PubMed

    Zhang, Chenan; Doherty, Jennifer A; Burgess, Stephen; Hung, Rayjean J; Lindström, Sara; Kraft, Peter; Gong, Jian; Amos, Christopher I; Sellers, Thomas A; Monteiro, Alvaro N A; Chenevix-Trench, Georgia; Bickeböller, Heike; Risch, Angela; Brennan, Paul; Mckay, James D; Houlston, Richard S; Landi, Maria Teresa; Timofeeva, Maria N; Wang, Yufei; Heinrich, Joachim; Kote-Jarai, Zsofia; Eeles, Rosalind A; Muir, Ken; Wiklund, Fredrik; Grönberg, Henrik; Berndt, Sonja I; Chanock, Stephen J; Schumacher, Fredrick; Haiman, Christopher A; Henderson, Brian E; Amin Al Olama, Ali; Andrulis, Irene L; Hopper, John L; Chang-Claude, Jenny; John, Esther M; Malone, Kathleen E; Gammon, Marilie D; Ursin, Giske; Whittemore, Alice S; Hunter, David J; Gruber, Stephen B; Knight, Julia A; Hou, Lifang; Le Marchand, Loic; Newcomb, Polly A; Hudson, Thomas J; Chan, Andrew T; Li, Li; Woods, Michael O; Ahsan, Habibul; Pierce, Brandon L

    2015-09-15

    Epidemiological studies have reported inconsistent associations between telomere length (TL) and risk for various cancers. These inconsistencies are likely attributable, in part, to biases that arise due to post-diagnostic and post-treatment TL measurement. To avoid such biases, we used a Mendelian randomization approach and estimated associations between nine TL-associated SNPs and risk for five common cancer types (breast, lung, colorectal, ovarian and prostate cancer, including subtypes) using data on 51 725 cases and 62 035 controls. We then used an inverse-variance weighted average of the SNP-specific associations to estimate the association between a genetic score representing long TL and cancer risk. The long TL genetic score was significantly associated with increased risk of lung adenocarcinoma (P = 6.3 × 10(-15)), even after exclusion of a SNP residing in a known lung cancer susceptibility region (TERT-CLPTM1L) P = 6.6 × 10(-6)). Under Mendelian randomization assumptions, the association estimate [odds ratio (OR) = 2.78] is interpreted as the OR for lung adenocarcinoma corresponding to a 1000 bp increase in TL. The weighted TL SNP score was not associated with other cancer types or subtypes. Our finding that genetic determinants of long TL increase lung adenocarcinoma risk avoids issues with reverse causality and residual confounding that arise in observational studies of TL and disease risk. Under Mendelian randomization assumptions, our finding suggests that longer TL increases lung adenocarcinoma risk. However, caution regarding this causal interpretation is warranted in light of the potential issue of pleiotropy, and a more general interpretation is that SNPs influencing telomere biology are also implicated in lung adenocarcinoma risk.

  11. Genetically predicted longer telomere length is associated with increased risk of B-cell lymphoma subtypes.

    PubMed

    Machiela, Mitchell J; Lan, Qing; Slager, Susan L; Vermeulen, Roel C H; Teras, Lauren R; Camp, Nicola J; Cerhan, James R; Spinelli, John J; Wang, Sophia S; Nieters, Alexandra; Vijai, Joseph; Yeager, Meredith; Wang, Zhaoming; Ghesquières, Hervé; McKay, James; Conde, Lucia; de Bakker, Paul I W; Cox, David G; Burdett, Laurie; Monnereau, Alain; Flowers, Christopher R; De Roos, Anneclaire J; Brooks-Wilson, Angela R; Giles, Graham G; Melbye, Mads; Gu, Jian; Jackson, Rebecca D; Kane, Eleanor; Purdue, Mark P; Vajdic, Claire M; Albanes, Demetrius; Kelly, Rachel S; Zucca, Mariagrazia; Bertrand, Kimberly A; Zeleniuch-Jacquotte, Anne; Lawrence, Charles; Hutchinson, Amy; Zhi, Degui; Habermann, Thomas M; Link, Brian K; Novak, Anne J; Dogan, Ahmet; Asmann, Yan W; Liebow, Mark; Thompson, Carrie A; Ansell, Stephen M; Witzig, Thomas E; Tilly, Hervé; Haioun, Corinne; Molina, Thierry J; Hjalgrim, Henrik; Glimelius, Bengt; Adami, Hans-Olov; Roos, Göran; Bracci, Paige M; Riby, Jacques; Smith, Martyn T; Holly, Elizabeth A; Cozen, Wendy; Hartge, Patricia; Morton, Lindsay M; Severson, Richard K; Tinker, Lesley F; North, Kari E; Becker, Nikolaus; Benavente, Yolanda; Boffetta, Paolo; Brennan, Paul; Foretova, Lenka; Maynadie, Marc; Staines, Anthony; Lightfoot, Tracy; Crouch, Simon; Smith, Alex; Roman, Eve; Diver, W Ryan; Offit, Kenneth; Zelenetz, Andrew; Klein, Robert J; Villano, Danylo J; Zheng, Tongzhang; Zhang, Yawei; Holford, Theodore R; Turner, Jenny; Southey, Melissa C; Clavel, Jacqueline; Virtamo, Jarmo; Weinstein, Stephanie; Riboli, Elio; Vineis, Paolo; Kaaks, Rudolph; Boeing, Heiner; Tjønneland, Anne; Angelucci, Emanuele; Di Lollo, Simonetta; Rais, Marco; De Vivo, Immaculata; Giovannucci, Edward; Kraft, Peter; Huang, Jinyan; Ma, Baoshan; Ye, Yuanqing; Chiu, Brian C H; Liang, Liming; Park, Ju-Hyun; Chung, Charles C; Weisenburger, Dennis D; Fraumeni, Joseph F; Salles, Gilles; Glenn, Martha; Cannon-Albright, Lisa; Curtin, Karen; Wu, Xifeng; Smedby, Karin E; de Sanjose, Silvia; Skibola, Christine F; Berndt, Sonja I; Birmann, Brenda M; Chanock, Stephen J; Rothman, Nathaniel

    2016-04-15

    Evidence from a small number of studies suggests that longer telomere length measured in peripheral leukocytes is associated with an increased risk of non-Hodgkin lymphoma (NHL). However, these studies may be biased by reverse causation, confounded by unmeasured environmental exposures and might miss time points for which prospective telomere measurement would best reveal a relationship between telomere length and NHL risk. We performed an analysis of genetically inferred telomere length and NHL risk in a study of 10 102 NHL cases of the four most common B-cell histologic types and 9562 controls using a genetic risk score (GRS) comprising nine telomere length-associated single-nucleotide polymorphisms. This approach uses existing genotype data and estimates telomere length by weighing the number of telomere length-associated variant alleles an individual carries with the published change in kb of telomere length. The analysis of the telomere length GRS resulted in an association between longer telomere length and increased NHL risk [four B-cell histologic types combined; odds ratio (OR) = 1.49, 95% CI 1.22-1.82,P-value = 8.5 × 10(-5)]. Subtype-specific analyses indicated that chronic lymphocytic leukemia or small lymphocytic lymphoma (CLL/SLL) was the principal NHL subtype contributing to this association (OR = 2.60, 95% CI 1.93-3.51,P-value = 4.0 × 10(-10)). Significant interactions were observed across strata of sex for CLL/SLL and marginal zone lymphoma subtypes as well as age for the follicular lymphoma subtype. Our results indicate that a genetic background that favors longer telomere length may increase NHL risk, particularly risk of CLL/SLL, and are consistent with earlier studies relating longer telomere length with increased NHL risk. PMID:27008888

  12. Genetic determinants of telomere length and risk of common cancers: a Mendelian randomization study

    PubMed Central

    Zhang, Chenan; Doherty, Jennifer A.; Burgess, Stephen; Hung, Rayjean J.; Lindström, Sara; Kraft, Peter; Gong, Jian; Amos, Christopher I.; Sellers, Thomas A.; Monteiro, Alvaro N.A.; Chenevix-Trench, Georgia; Bickeböller, Heike; Risch, Angela; Brennan, Paul; Mckay, James D.; Houlston, Richard S.; Landi, Maria Teresa; Timofeeva, Maria N.; Wang, Yufei; Heinrich, Joachim; Kote-Jarai, Zsofia; Eeles, Rosalind A.; Muir, Ken; Wiklund, Fredrik; Grönberg, Henrik; Berndt, Sonja I.; Chanock, Stephen J.; Schumacher, Fredrick; Haiman, Christopher A.; Henderson, Brian E.; Amin Al Olama, Ali; Andrulis, Irene L.; Hopper, John L.; Chang-Claude, Jenny; John, Esther M.; Malone, Kathleen E.; Gammon, Marilie D.; Ursin, Giske; Whittemore, Alice S.; Hunter, David J.; Gruber, Stephen B.; Knight, Julia A.; Hou, Lifang; Le Marchand, Loic; Newcomb, Polly A.; Hudson, Thomas J.; Chan, Andrew T.; Li, Li; Woods, Michael O.; Ahsan, Habibul; Pierce, Brandon L.

    2015-01-01

    Epidemiological studies have reported inconsistent associations between telomere length (TL) and risk for various cancers. These inconsistencies are likely attributable, in part, to biases that arise due to post-diagnostic and post-treatment TL measurement. To avoid such biases, we used a Mendelian randomization approach and estimated associations between nine TL-associated SNPs and risk for five common cancer types (breast, lung, colorectal, ovarian and prostate cancer, including subtypes) using data on 51 725 cases and 62 035 controls. We then used an inverse-variance weighted average of the SNP-specific associations to estimate the association between a genetic score representing long TL and cancer risk. The long TL genetic score was significantly associated with increased risk of lung adenocarcinoma (P = 6.3 × 10−15), even after exclusion of a SNP residing in a known lung cancer susceptibility region (TERT-CLPTM1L) P = 6.6 × 10−6). Under Mendelian randomization assumptions, the association estimate [odds ratio (OR) = 2.78] is interpreted as the OR for lung adenocarcinoma corresponding to a 1000 bp increase in TL. The weighted TL SNP score was not associated with other cancer types or subtypes. Our finding that genetic determinants of long TL increase lung adenocarcinoma risk avoids issues with reverse causality and residual confounding that arise in observational studies of TL and disease risk. Under Mendelian randomization assumptions, our finding suggests that longer TL increases lung adenocarcinoma risk. However, caution regarding this causal interpretation is warranted in light of the potential issue of pleiotropy, and a more general interpretation is that SNPs influencing telomere biology are also implicated in lung adenocarcinoma risk. PMID:26138067

  13. Genetic determinants of telomere length and risk of common cancers: a Mendelian randomization study.

    PubMed

    Zhang, Chenan; Doherty, Jennifer A; Burgess, Stephen; Hung, Rayjean J; Lindström, Sara; Kraft, Peter; Gong, Jian; Amos, Christopher I; Sellers, Thomas A; Monteiro, Alvaro N A; Chenevix-Trench, Georgia; Bickeböller, Heike; Risch, Angela; Brennan, Paul; Mckay, James D; Houlston, Richard S; Landi, Maria Teresa; Timofeeva, Maria N; Wang, Yufei; Heinrich, Joachim; Kote-Jarai, Zsofia; Eeles, Rosalind A; Muir, Ken; Wiklund, Fredrik; Grönberg, Henrik; Berndt, Sonja I; Chanock, Stephen J; Schumacher, Fredrick; Haiman, Christopher A; Henderson, Brian E; Amin Al Olama, Ali; Andrulis, Irene L; Hopper, John L; Chang-Claude, Jenny; John, Esther M; Malone, Kathleen E; Gammon, Marilie D; Ursin, Giske; Whittemore, Alice S; Hunter, David J; Gruber, Stephen B; Knight, Julia A; Hou, Lifang; Le Marchand, Loic; Newcomb, Polly A; Hudson, Thomas J; Chan, Andrew T; Li, Li; Woods, Michael O; Ahsan, Habibul; Pierce, Brandon L

    2015-09-15

    Epidemiological studies have reported inconsistent associations between telomere length (TL) and risk for various cancers. These inconsistencies are likely attributable, in part, to biases that arise due to post-diagnostic and post-treatment TL measurement. To avoid such biases, we used a Mendelian randomization approach and estimated associations between nine TL-associated SNPs and risk for five common cancer types (breast, lung, colorectal, ovarian and prostate cancer, including subtypes) using data on 51 725 cases and 62 035 controls. We then used an inverse-variance weighted average of the SNP-specific associations to estimate the association between a genetic score representing long TL and cancer risk. The long TL genetic score was significantly associated with increased risk of lung adenocarcinoma (P = 6.3 × 10(-15)), even after exclusion of a SNP residing in a known lung cancer susceptibility region (TERT-CLPTM1L) P = 6.6 × 10(-6)). Under Mendelian randomization assumptions, the association estimate [odds ratio (OR) = 2.78] is interpreted as the OR for lung adenocarcinoma corresponding to a 1000 bp increase in TL. The weighted TL SNP score was not associated with other cancer types or subtypes. Our finding that genetic determinants of long TL increase lung adenocarcinoma risk avoids issues with reverse causality and residual confounding that arise in observational studies of TL and disease risk. Under Mendelian randomization assumptions, our finding suggests that longer TL increases lung adenocarcinoma risk. However, caution regarding this causal interpretation is warranted in light of the potential issue of pleiotropy, and a more general interpretation is that SNPs influencing telomere biology are also implicated in lung adenocarcinoma risk. PMID:26138067

  14. Thrombophilia and venous thromboembolism in pregnancy: a meta-analysis of genetic risk.

    PubMed

    Ziakas, Panayiotis D; Poulou, Loukia S; Pavlou, Matthaios; Zintzaras, Elias

    2015-08-01

    Three common polymorphic variants, namely Factor V Leiden (FVL), Prothrombin G20210A (PT G20210A) and Methylenetetrahydrofolate Reductase (MTHFR) C677T are candidate genes for venous thromboembolism (VTE) in pregnancy. We performed a literature review and meta-analysis of pertinent genetic association studies (GAS) in pregnancy, to quantify the genetic risk of VTE in pregnancy. We used the model-free approach of generalized odds ratio (ORG) to estimate gene-to-disease association and explored the mode of inheritance using the degree of dominance h index. Twelve case-control GAS studies provided the full genotype distributions for at least one candidate gene to assess the genetic risk. FVL was associated with a significant risk of VTE in pregnancy (ORG 7.28; 95% confidence interval 5.53-9.58) and a dominant mode of inheritance (h=0.76), that is the effect of heterozygous carriers will lie close to the homozygous mutant genotype. PT G20210A mutation was also associated with a significant VTE risk (ORG 5.43; 95% CI 3.66-8.03) and had an over-dominant mode of inheritance (h=1.5), suggesting that the effect of heterozygous carriers may exceed that of homozygous mutant. MTHFR C677T had no association with VTE risk in pregnancy (ORG 1.24; 95% CI 0.88-1.73). Our analysis provided robust data on VTE in pregnancy, relative to FVL and PT G20210A status and suggested that the genetic effects of heterozygous over homozygous carriers do not justify stratification of heterozygous as "lower risk" over homozygous mutants. On clinical grounds this may impact decisions to preferentially exclude heterozygous from anticoagulation prophylaxis. PMID:26115054

  15. Genetic predisposition, Western dietary pattern, and the risk of type 2 diabetes in men123

    PubMed Central

    Qi, Lu; Cornelis, Marilyn C; Zhang, Cuilin; van Dam, Rob M; Hu, Frank B

    2009-01-01

    Background: A widely held hypothesis is that interactions between genetic predisposition and Western-type lifestyle contribute to the epidemic of type 2 diabetes (T2D). No study has tested this hypothesis. Objective: The objective was to assess whether established genetic variants, mainly from genomewide association studies, modify dietary patterns in predicting diabetes risk. Design: We determined 10 polymorphisms in a prospective, nested, case-control study of 1196 diabetic and 1337 nondiabetic men. A genetic risk score (GRS) was generated by using an allele counting method. Baseline dietary intakes were collected by using a semiquantitative food-frequency questionnaire. We used factor analysis to derive Western and “Prudent” dietary patterns from 40 food groups. Results: A significant interaction (P = 0.02) was observed between the GRS and Western dietary pattern. The multivariable odds ratios (ORs) of T2D across increasing quartiles for the Western dietary pattern were 1.00, 1.23 (95% CI: 0.88, 1.73), 1.49 (1.06,2.09), and 2.06 (1.48, 2.88) among men with a high GRS (≥12 risk alleles; P for trend = 0.01). The Western dietary pattern was not associated with diabetes risk among those with a lower GRS. In addition, we found that intakes of processed meat, red meat, and heme iron, which characterized the Western dietary pattern, showed significant interactions with GRS in relation to diabetes risk (P for interaction = 0.029, 0.02, and 0.0004, respectively). The diet-diabetes associations were more evident among men with a high GRS (≥12) than in those with a low GRS. Conclusion: Genetic predisposition may synergistically interact with a Western dietary pattern in determining diabetes risk in men. PMID:19279076

  16. DTREEv2, a computer-based support system for the risk assessment of genetically modified plants.

    PubMed

    Pertry, Ine; Nothegger, Clemens; Sweet, Jeremy; Kuiper, Harry; Davies, Howard; Iserentant, Dirk; Hull, Roger; Mezzetti, Bruno; Messens, Kathy; De Loose, Marc; de Oliveira, Dulce; Burssens, Sylvia; Gheysen, Godelieve; Tzotzos, George

    2014-03-25

    Risk assessment of genetically modified organisms (GMOs) remains a contentious area and a major factor influencing the adoption of agricultural biotech. Methodologically, in many countries, risk assessment is conducted by expert committees with little or no recourse to databases and expert systems that can facilitate the risk assessment process. In this paper we describe DTREEv2, a computer-based decision support system for the identification of hazards related to the introduction of GM-crops into the environment. DTREEv2 structures hazard identification and evaluation by means of an Event-Tree type of analysis. The system produces an output flagging identified hazards and potential risks. It is intended to be used for the preparation and evaluation of biosafety dossiers and, as such, its usefulness extends to researchers, risk assessors and regulators in government and industry. PMID:24308933

  17. DTREEv2, a computer-based support system for the risk assessment of genetically modified plants.

    PubMed

    Pertry, Ine; Nothegger, Clemens; Sweet, Jeremy; Kuiper, Harry; Davies, Howard; Iserentant, Dirk; Hull, Roger; Mezzetti, Bruno; Messens, Kathy; De Loose, Marc; de Oliveira, Dulce; Burssens, Sylvia; Gheysen, Godelieve; Tzotzos, George

    2014-03-25

    Risk assessment of genetically modified organisms (GMOs) remains a contentious area and a major factor influencing the adoption of agricultural biotech. Methodologically, in many countries, risk assessment is conducted by expert committees with little or no recourse to databases and expert systems that can facilitate the risk assessment process. In this paper we describe DTREEv2, a computer-based decision support system for the identification of hazards related to the introduction of GM-crops into the environment. DTREEv2 structures hazard identification and evaluation by means of an Event-Tree type of analysis. The system produces an output flagging identified hazards and potential risks. It is intended to be used for the preparation and evaluation of biosafety dossiers and, as such, its usefulness extends to researchers, risk assessors and regulators in government and industry.

  18. Genetic dissection of fruit quality traits in the octoploid cultivated strawberry highlights the role of homoeo-QTL in their control.

    PubMed

    Lerceteau-Köhler, E; Moing, A; Guérin, G; Renaud, C; Petit, A; Rothan, C; Denoyes, Béatrice

    2012-04-01

    Fruit quality traits are major breeding targets in the Rosaceae. Several of the major Rosaceae species are current or ancient polyploids. To dissect the inheritance of fruit quality traits in polyploid fleshy fruit species, we used a cultivated strawberry segregating population comprising a 213 full-sibling F1 progeny from a cross between the variety 'Capitola' and the genotype 'CF1116'. We previously developed the most comprehensive strawberry linkage map, which displays seven homoeology groups (HG), including each four homoeology linkage groups (Genetics 179:2045-2060, 2008). The map was used to identify quantitative trait loci (QTL) for 19 fruit traits related to fruit development, texture, colour, anthocyanin, sugar and organic acid contents. Analyses were carried out over two or three successive years on field-grown plants. QTL were detected for all the analysed traits. Because strawberry is an octopolyploid species, QTL controlling a given trait and located at orthologous positions on different homoeologous linkage groups within one HG are considered as homoeo-QTL. We found that, for various traits, about one-fourth of QTL were putative homoeo-QTL and were localised on two linkage groups. Several homoeo-QTL could be detected the same year, suggesting that several copies of the gene underlying the QTL are functional. The detection of some other homoeo-QTL was year-dependent. Therefore, changes in allelic expression could take place in response to environmental changes. We believe that, in strawberry as in other polyploid fruit species, the mechanisms unravelled in the present study may play a crucial role in the variations of fruit quality.

  19. Highlights of the optical highlighter fluorescent proteins.

    PubMed

    Patterson, G H

    2011-07-01

    The development of super-resolution microscopy techniques using molecular localization, such as photoactivated localization microscopy, fluorescence photoactivated localization microscopy, stochastic optical reconstruction microscopy, photoactivated localization microscopy with independent running acquisition and many others, has heightened interest in molecules that will be grouped here into a category referred to as 'optical highlighter' fluorescent proteins. This review will survey many of the advances in development of fluorescent proteins for optically highlighting sub-populations of fluorescently labelled molecules.

  20. Adoption and the communication of genetic risk: experiences in Huntington disease.

    PubMed

    Bombard, Y; Semaka, A; Hayden, M R

    2012-01-01

    Adoption agencies can use genetic information to determine the eligibility of prospective adoptive parents and to establish a child's suitability for adoption. We describe experiences and implications of communicating genetic risk for Huntington disease (HD) in the context of adoption. A secondary analysis was employed using data collected from a cross-sectional survey (n = 233) and two qualitative studies on the psychosocial effects of predictive testing for HD. We demonstrate several ethical and practical challenges in the search for and communication of genetic information for adoptees and their birth relatives. We also found that concern for adoption discrimination was reported by 13.7% of survey respondents (n = 32). Concerns were higher among tested respondents than those who had not been tested (n = 29 vs n = 3, p = 0.010). However, more respondents were concerned about being discriminated based on their family history (FHx) vs their genetic test results (GTR) (concern based on FHx: n = 18 vs based on GTR: n = 1 vs based on both: n =10). These findings contribute to the limited empirical literature by offering evidence on the experiences and implications of communicating genetic risk information in the context of adoption with reference to HD.

  1. Common Genetic Polymorphisms within NFκB-Related Genes and the Risk of Developing Invasive Aspergillosis.

    PubMed

    Lupiañez, Carmen B; Villaescusa, María T; Carvalho, Agostinho; Springer, Jan; Lackner, Michaela; Sánchez-Maldonado, José M; Canet, Luz M; Cunha, Cristina; Segura-Catena, Juana; Alcazar-Fuoli, Laura; Solano, Carlos; Fianchi, Luana; Pagano, Livio; Potenza, Leonardo; Aguado, José M; Luppi, Mario; Cuenca-Estrella, Manuel; Lass-Flörl, Cornelia; Einsele, Hermann; Vázquez, Lourdes; Ríos-Tamayo, Rafael; Loeffler, Jurgen; Jurado, Manuel; Sainz, Juan

    2016-01-01

    Invasive Aspergillosis (IA) is an opportunistic infection caused by Aspergillus, a ubiquitously present airborne pathogenic mold. A growing number of studies suggest a major host genetic component in disease susceptibility. Here, we evaluated whether 14 single-nucleotide polymorphisms within NFκB1, NFκB2, RelA, RelB, Rel, and IRF4 genes influence the risk of IA in a population of 834 high-risk patients (157 IA and 677 non-IA) recruited through a collaborative effort involving the aspBIOmics consortium and four European clinical institutions. No significant overall associations between selected SNPs and the risk of IA were found in this large cohort. Although a hematopoietic stem cell transplantation (HSCT)-stratified analysis revealed that carriers of the IRF4 rs12203592T/T genotype had a six-fold increased risk of developing the infection when compared with those carrying the C allele (ORREC = 6.24, 95%CI 1.25-31.2, P = 0.026), the association of this variant with IA risk did not reach significance at experiment-wide significant threshold. In addition, we found an association of the IRF4AATC and IRF4GGTC haplotypes (not including the IRF4 rs12203592T risk allele) with a decreased risk of IA but the magnitude of the association was similar to the one observed in the single-SNP analysis, which indicated that the haplotypic effect on IA risk was likely due to the IRF4 rs12203592 SNP. Finally, no evidence of significant interactions among the genetic markers tested and the risk of IA was found. These results suggest that the SNPs on the studied genes do not have a clinically relevant impact on the risk of developing IA. PMID:27570521

  2. Common Genetic Polymorphisms within NFκB-Related Genes and the Risk of Developing Invasive Aspergillosis

    PubMed Central

    Lupiañez, Carmen B.; Villaescusa, María T.; Carvalho, Agostinho; Springer, Jan; Lackner, Michaela; Sánchez-Maldonado, José M.; Canet, Luz M.; Cunha, Cristina; Segura-Catena, Juana; Alcazar-Fuoli, Laura; Solano, Carlos; Fianchi, Luana; Pagano, Livio; Potenza, Leonardo; Aguado, José M.; Luppi, Mario; Cuenca-Estrella, Manuel; Lass-Flörl, Cornelia; Einsele, Hermann; Vázquez, Lourdes; Ríos-Tamayo, Rafael; Loeffler, Jurgen; Jurado, Manuel; Sainz, Juan

    2016-01-01

    Invasive Aspergillosis (IA) is an opportunistic infection caused by Aspergillus, a ubiquitously present airborne pathogenic mold. A growing number of studies suggest a major host genetic component in disease susceptibility. Here, we evaluated whether 14 single-nucleotide polymorphisms within NFκB1, NFκB2, RelA, RelB, Rel, and IRF4 genes influence the risk of IA in a population of 834 high-risk patients (157 IA and 677 non-IA) recruited through a collaborative effort involving the aspBIOmics consortium and four European clinical institutions. No significant overall associations between selected SNPs and the risk of IA were found in this large cohort. Although a hematopoietic stem cell transplantation (HSCT)-stratified analysis revealed that carriers of the IRF4rs12203592T/T genotype had a six-fold increased risk of developing the infection when compared with those carrying the C allele (ORREC = 6.24, 95%CI 1.25–31.2, P = 0.026), the association of this variant with IA risk did not reach significance at experiment-wide significant threshold. In addition, we found an association of the IRF4AATC and IRF4GGTC haplotypes (not including the IRF4rs12203592T risk allele) with a decreased risk of IA but the magnitude of the association was similar to the one observed in the single-SNP analysis, which indicated that the haplotypic effect on IA risk was likely due to the IRF4rs12203592 SNP. Finally, no evidence of significant interactions among the genetic markers tested and the risk of IA was found. These results suggest that the SNPs on the studied genes do not have a clinically relevant impact on the risk of developing IA. PMID:27570521

  3. Multivariate Methods for Genetic Variants Selection and Risk Prediction in Cardiovascular Diseases

    PubMed Central

    Malovini, Alberto; Bellazzi, Riccardo; Napolitano, Carlo; Guffanti, Guia

    2016-01-01

    Over the last decade, high-throughput genotyping and sequencing technologies have contributed to major advancements in genetics research, as these technologies now facilitate affordable mapping of the entire genome for large sets of individuals. Given this, genome-wide association studies are proving to be powerful tools in identifying genetic variants that have the capacity to modify the probability of developing a disease or trait of interest. However, when the study’s goal is to evaluate the effect of the presence of genetic variants mapping to specific chromosomes regions on a specific phenotype, the candidate loci approach is still preferred. Regardless of which approach is taken, such a large data set calls for the establishment and development of appropriate analytical methods in order to translate such knowledge into biological or clinical findings. Standard univariate tests often fail to identify informative genetic variants, especially when dealing with complex traits, which are more likely to result from a combination of rare and common variants and non-genetic determinants. These limitations can partially be overcome by multivariate methods, which allow for the identification of informative combinations of genetic variants and non-genetic features. Furthermore, such methods can help to generate additive genetic scores and risk stratification algorithms that, once extensively validated in independent cohorts, could serve as useful tools to assist clinicians in decision-making. This review aims to provide readers with an overview of the main multivariate methods for genetic data analysis that could be applied to the analysis of cardiovascular traits. PMID:27376073

  4. Germline Genetic Contributions to Risk for Esophageal Adenocarcinoma, Barrett’s Esophagus, and Gastroesophageal Reflux

    PubMed Central

    2013-01-01

    Background Esophageal adenocarcinoma (EA) is an increasingly common cancer with poor survival. Barrett’s esophagus (BE) is the main precursor to EA, and every year 0.12% to 0.5% of BE patients progress to EA. BE typically arises on a background of chronic gastroesophageal reflux (GERD), one of the risk factors for EA. Methods We used genome-wide association data to investigate the genetic architecture underlying GERD, BE, and EA. We applied a method to estimate the variance explained (array heritability, h2 g) and the genetic correlation (rg) between GERD, BE, and EA by considering all single nucleotide polymorphisms (SNPs) simultaneously. We also estimated the polygenic overlap between GERD, BE, and EA using a prediction approach. All tests were two-sided, except in the case of variance-explained estimation where one-sided tests were used. Results We estimated a statistically significant genetic variance explained for BE (h2 g = 35%; standard error [SE] = 6%; one-sided P = 1 × 10−9) and for EA (h2 g = 25 %; SE = 5%; one-sided P = 2 × 10−7). The genetic correlation between BE and EA was found to be high (rg = 1.0; SE = 0.37). We also estimated a statistically significant polygenic overlap between BE and EA (one-sided P = 1 × 10−6), which suggests, together with the high genetic correlation, that shared genes underlie the development of BE and EA. Conversely, no statistically significant results were obtained for GERD. Conclusions We have demonstrated that risk to BE and EA is influenced by many germline genetic variants of small effect and that shared polygenic effects contribute to risk of these two diseases. PMID:24168968

  5. Additive Genetic Risk from Five Serotonin System Polymorphisms Interacts with Interpersonal Stress to Predict Depression

    PubMed Central

    Vrshek-Schallhorn, Suzanne; Stroud, Catherine B.; Mineka, Susan; Zinbarg, Richard E.; Adam, Emma K.; Redei, Eva E.; Hammen, Constance; Craske, Michelle G.

    2016-01-01

    Behavioral genetic research supports polygenic models of depression in which many genetic variations each contribute a small amount of risk, and prevailing diathesis-stress models suggest gene-environment interactions (GxE). Multilocus profile scores of additive risk offer an approach that is consistent with polygenic models of depression risk. In a first demonstration of this approach in a GxE predicting depression, we created an additive multilocus profile score from five serotonin system polymorphisms (one each in the genes HTR1A, HTR2A, HTR2C, and two in TPH2). Analyses focused on two forms of interpersonal stress as environmental risk factors. Using five years of longitudinal diagnostic and life stress interviews from 387 emerging young adults in the Youth Emotion Project, survival analyses show that this multilocus profile score interacts with major interpersonal stressful life events to predict major depressive episode onsets (HR = 1.815, p = .007). Simultaneously, there was a significant protective effect of the profile score without a recent event (HR = 0.83, p = .030). The GxE effect with interpersonal chronic stress was not significant (HR = 1.15, p = .165). Finally, effect sizes for genetic factors examined ignoring stress suggested such an approach could lead to overlooking or misinterpreting genetic effects. Both the GxE effect and the protective simple main effect were replicated in a sample of early adolescent girls (N = 105). We discuss potential benefits of the multilocus genetic profile score approach and caveats for future research. PMID:26595467

  6. Disclosing genetic information to at-risk relatives: new Australian privacy principles, but uniformity still elusive.

    PubMed

    Otlowski, Margaret F A

    2015-04-01

    There is growing understanding of the need for genetic information to be shared with genetic relatives in some circumstances. Since 2006, s 95AA of the Privacy Act 1988 (Cwlth) has permitted the disclosure of genetic information to genetic relatives without the patient's consent, provided that the health practitioner reasonably believes that disclosure is necessary to lessen or prevent a serious threat to the life, health or safety of the genetic relatives. Enabling guidelines were introduced in 2009. These were limited to the private sector, and excluded doctors working in the public sector at both Commonwealth and state and territory levels. Privacy legislation was amended in March 2014, and new Australian Privacy Principles, which replace the National Privacy Principles and Information Privacy Principles, now cover the collection and use of personal information. The Privacy Act and the Australian Privacy Principles now extend to practitioners employed by the Commonwealth but not to health practitioners working in state and territory public hospitals. In this article, I review these legislative developments and highlight the implications of the lack of uniformity and the consequent need for a collaborative, uniform approach by states and territories. PMID:25832164

  7. Disclosing genetic information to at-risk relatives: new Australian privacy principles, but uniformity still elusive.

    PubMed

    Otlowski, Margaret F A

    2015-04-01

    There is growing understanding of the need for genetic information to be shared with genetic relatives in some circumstances. Since 2006, s 95AA of the Privacy Act 1988 (Cwlth) has permitted the disclosure of genetic information to genetic relatives without the patient's consent, provided that the health practitioner reasonably believes that disclosure is necessary to lessen or prevent a serious threat to the life, health or safety of the genetic relatives. Enabling guidelines were introduced in 2009. These were limited to the private sector, and excluded doctors working in the public sector at both Commonwealth and state and territory levels. Privacy legislation was amended in March 2014, and new Australian Privacy Principles, which replace the National Privacy Principles and Information Privacy Principles, now cover the collection and use of personal information. The Privacy Act and the Australian Privacy Principles now extend to practitioners employed by the Commonwealth but not to health practitioners working in state and territory public hospitals. In this article, I review these legislative developments and highlight the implications of the lack of uniformity and the consequent need for a collaborative, uniform approach by states and territories.

  8. Genetic risk assessment and prevention: the role of genetic testing panels in breast cancer.

    PubMed

    Lerner-Ellis, Jordan; Khalouei, Sam; Sopik, Victoria; Narod, Steven A

    2015-01-01

    Multigene panel tests are being increasingly used for the genetic assessment of women with an apparent predisposition to breast cancer. Here, we review all studies reporting results from individuals who have undergone multigene panel testing for hereditary breast cancer. Across all gene panel studies, the prevalence of pathogenic mutations was highest in BRCA1 (5.3%) and BRCA2 (3.6%) and was lowest in PTEN (0.1%), CDH1 (0.1%) and STK11 (0.01%). After BRCA1/2, the prevalence of pathogenic mutations was highest in CHEK2 (1.3%), PALB2 (0.9%) and ATM (0.8%). The prevalence of variants of unknown significance was highest in ATM (9.6%). Based on the prevalence and penetrance of pathogenic mutations and the prevalence of variants of unknown significance, it is our interpretation that BRCA1, BRCA2, PALB2 and CHEK2 are the best candidates for inclusion in a clinical multigene breast cancer panel.

  9. Genetic risk assessment and prevention: the role of genetic testing panels in breast cancer.

    PubMed

    Lerner-Ellis, Jordan; Khalouei, Sam; Sopik, Victoria; Narod, Steven A

    2015-01-01

    Multigene panel tests are being increasingly used for the genetic assessment of women with an apparent predisposition to breast cancer. Here, we review all studies reporting results from individuals who have undergone multigene panel testing for hereditary breast cancer. Across all gene panel studies, the prevalence of pathogenic mutations was highest in BRCA1 (5.3%) and BRCA2 (3.6%) and was lowest in PTEN (0.1%), CDH1 (0.1%) and STK11 (0.01%). After BRCA1/2, the prevalence of pathogenic mutations was highest in CHEK2 (1.3%), PALB2 (0.9%) and ATM (0.8%). The prevalence of variants of unknown significance was highest in ATM (9.6%). Based on the prevalence and penetrance of pathogenic mutations and the prevalence of variants of unknown significance, it is our interpretation that BRCA1, BRCA2, PALB2 and CHEK2 are the best candidates for inclusion in a clinical multigene breast cancer panel. PMID:26523341

  10. Genetics

    MedlinePlus

    ... Inheritance; Heterozygous; Inheritance patterns; Heredity and disease; Heritable; Genetic markers ... The chromosomes are made up of strands of genetic information called DNA. Each chromosome contains sections of ...

  11. Genetic bottlenecks, perceived racism, and hypertension risk among African Americans and first-generation African immigrants.

    PubMed

    Poston, W S; Pavlik, V N; Hyman, D J; Ogbonnaya, K; Hanis, C L; Haddock, C K; Hyder, M L; Foreyt, J P

    2001-05-01

    The complexity of factors influencing the development of hypertension (HTN) in African Americans has given rise to theories suggesting that genetic changes occurred due to selection pressures/genetic bottleneck effects (ie, constriction of existing genetic variability) over the course of the slave trade. Ninety-nine US-born and 86 African-born health professionals were compared in a cross-sectional survey examining genetic and psychosocial predictors of HTN. We examined the distributions of three genetic loci (G-protein, AGT-235, and ACE I/D) that have been associated with increased HTN risk. There were no significant differences between US-born African Americans and African-born immigrants in the studied genetic loci or biological variables (eg, plasma renin and angiotensin converting enzyme activity), except that the AGT-235 homozygous T genotype was somewhat more frequent among African-born participants than US-born African Americans. Only age, body mass index, and birthplace consistently demonstrated associations with HTN status. Thus, there was no evidence of a genetic bottleneck in the loci studied, ie, that US-born African Americans have different genotype distributions that increase their risk for HTN. In fact, some of the genotypic distributions evidenced lower frequencies of HTN-related alleles among US-born African Americans, providing evidence of European admixture. The consistent finding that birthplace (ie, US vs Africa) was associated with HTN, even though it was not always significant, suggests potential and unmeasured cultural, lifestyle, and environmental differences between African immigrants and US-born African Americans that are protective against HTN.

  12. Identifying Multimodal Intermediate Phenotypes Between Genetic Risk Factors and Disease Status in Alzheimer's Disease.

    PubMed

    Hao, Xiaoke; Yao, Xiaohui; Yan, Jingwen; Risacher, Shannon L; Saykin, Andrew J; Zhang, Daoqiang; Shen, Li

    2016-10-01

    Neuroimaging genetics has attracted growing attention and interest, which is thought to be a powerful strategy to examine the influence of genetic variants (i.e., single nucleotide polymorphisms (SNPs)) on structures or functions of human brain. In recent studies, univariate or multivariate regression analysis methods are typically used to capture the effective associations between genetic variants and quantitative traits (QTs) such as brain imaging phenotypes. The identified imaging QTs, although associated with certain genetic markers, may not be all disease specific. A useful, but underexplored, scenario could be to discover only those QTs associated with both genetic markers and disease status for revealing the chain from genotype to phenotype to symptom. In addition, multimodal brain imaging phenotypes are extracted from different perspectives and imaging markers consistently showing up in multimodalities may provide more insights for mechanistic understanding of diseases (i.e., Alzheimer's disease (AD)). In this work, we propose a general framework to exploit multi-modal brain imaging phenotypes as intermediate traits that bridge genetic risk factors and multi-class disease status. We applied our proposed method to explore the relation between the well-known AD risk SNP APOE rs429358 and three baseline brain imaging modalities (i.e., structural magnetic resonance imaging (MRI), fluorodeoxyglucose positron emission tomography (FDG-PET) and F-18 florbetapir PET scans amyloid imaging (AV45)) from the Alzheimer's Disease Neuroimaging Initiative (ADNI) database. The empirical results demonstrate that our proposed method not only helps improve the performances of imaging genetic associations, but also discovers robust and consistent regions of interests (ROIs) across multi-modalities to guide the disease-induced interpretation. PMID:27277494

  13. Evidence for shared genetic risk between ADHD symptoms and reduced mathematics ability: a twin study

    PubMed Central

    Greven, Corina U.; Kovas, Yulia; Willcutt, Erik G.; Petrill, Stephen A.; Plomin, Robert

    2013-01-01

    Background Attention-deficit/hyperactivity disorder (ADHD) symptoms and mathematics ability are associated, but little is known about the genetic and environmental influences underlying this association. Methods Data came from more than 6,000 12-year-old twin pairs from the U.K. population-representative Twins Early Development Study. Parents rated each twin’s behaviour using a DSM-IV-based 18-item questionnaire of inattentive and hyperactive-impulsive ADHD symptoms. Mathematics tests based on the U.K. National Curriculum were completed by each twin. The twins also completed standardised tests of reading and general cognitive ability. Multivariate twin model fitting was applied. Results Inattentive and hyperactive-impulsive ADHD symptoms were highly heritable (67% and 73%, respectively). Mathematics ability was moderately heritable (46%). Mathematics ability and inattentiveness showed a significantly greater phenotypic correlation (rp=−0.26) and genetic correlation (rA=−0.41) than mathematics ability and hyperactivity-impulsivity (rp=−0.18; rA=−0.22). The genetic correlation between inattentiveness and mathematics ability was largely independent from hyperactivity-impulsivity, and was only partially accounted for by genetic influences related to reading and general cognitive ability. Conclusions Results revealed the novel finding that mathematics ability shows significantly stronger phenotypic and genetic associations with inattentiveness than with hyperactivity-impulsivity. Genetic associations between inattentiveness and mathematics ability could only partially be accounted for by hyperactivity-impulsivity, reading and general cognitive ability. Results suggest that mathematics ability is associated with ADHD symptoms largely because it shares genetic risk factors with inattentiveness, and provide further evidence for considering inattentiveness and hyperactivity-impulsivity separately. DNA markers for ADHD symptoms (especially inattentiveness) may also

  14. Lack of Association between Genetic Risk Loci for Restless Legs Syndrome and Multimorbidity

    PubMed Central

    Szentkirályi, András; Völzke, Henry; Hoffmann, Wolfgang; Winkelmann, Julianne; Berger, Klaus

    2016-01-01

    Study Objectives: Multimorbidity is a risk factor for incident restless legs syndrome (RLS). In this relationship, the potential role of known genetic risk loci for RLS has not been studied. Our aim was to evaluate whether carriers of specific RLS risk alleles have higher comorbidity burden than noncarriers. Methods: The Dortmund Health Study (DHS) and the Study of Health in Pomerania (SHIP) are two independent cohort studies in Germany based on agestratified, random samples drawn from the respective population registers. DHS included 1,312 subjects and SHIP included 4,308 subjects. RLS status was assessed according to the RLS standard minimal criteria. A comorbidity index was calculated by summing the scores of the following conditions: diabetes, hypertension, myocardial infarction, obesity, stroke, cancer, renal disease, anemia, depression, thyroid disease, and migraine. Thirteen single nucleotide polymorphisms (SNP) previously associated with elevated risk of RLS were genotyped. Analyses were carried out on the pooled sample of the two studies. Results: The mean age was 50.4 ± 15.9 y, and the proportion of women was 51.4%. The mean number of comorbid conditions was 1.5 ± 1.3. In multivariable regression, the mean number of comorbidities was not significantly different between carriers of any of the RLS risk alleles and noncarriers either in the total pooled sample or in those having RLS symptoms. Conclusions: Based on these results it is unlikely that known genetic risk factors for RLS would lead to increased multimorbidity. Citation: Szentkirályi A, Völzke H, Hoffmann W, Winkelmann J, Berger K. Lack of association between genetic risk loci for restless legs syndrome and multimorbidity. SLEEP 2016;39(1):111–115. PMID:26350469

  15. Evaluation of Psoriasis Genetic Risk Based on Five Susceptibility Markers in a Population from Northern Poland

    PubMed Central

    Stawczyk-Macieja, Marta; Rębała, Krzysztof; Szczerkowska-Dobosz, Aneta; Wysocka, Joanna; Cybulska, Lidia; Kapińska, Ewa; Haraś, Agnieszka; Miniszewska, Paulina; Nowicki, Roman

    2016-01-01

    Psoriasis genetic background depends on polygenic and multifactorial mode of inheritance. As in other complex disorders, the estimation of the disease risk based on individual genetic variants is impossible. For this reason, recent investigations have been focused on combinations of known psoriasis susceptibility markers in order to improve the disease risk evaluation. Our aim was to compare psoriasis genetic risk score (GRS) for five susceptibility loci involved in the immunological response (HLA-C, ERAP1, ZAP70) and in the skin barrier function (LCE3, CSTA) between patients with chronic plaque psoriasis (n = 148) and the control group (n = 146). A significantly higher number of predisposing alleles was observed in patients with psoriasis in comparison to healthy individuals (6.1 vs. 5.2, respectively; P = 8.8×10−7). The statistical significance was even more profound when GRS weighted by logarithm odds ratios was evaluated (P = 9.9×10−14). Our results demonstrate the developed panel of five susceptibility loci to be more efficient in predicting psoriasis risk in the Polish population and to possess higher sensitivity and specificity for the disease than any of the markers analyzed separately, including the most informative HLA-C*06 allele. PMID:27658291

  16. Genetic polymorphisms in the vitamin D pathway in relation to lung cancer risk and survival

    PubMed Central

    Kong, Jinyu; Xu, Fangxiu; Qu, Jinli; Wang, Yu; Gao, Ming; Yu, Herbert; Qian, Biyun

    2015-01-01

    Studies have suggested that vitamin D may have protective effects against cancer development or tumor progression. To search for additional evidence, we investigated the role of genetic polymorphisms involved in the vitamin D pathway in non-small cell lung cancer (NSCLC). We evaluated common genetic polymorphisms associated with the vitamin D pathway in relation to NSCLC in a case-control study of 603 newly diagnosed NSCLC patients and 661 matched healthy controls. Seven single nucleotide polymorphisms (SNPs) were genotyped, the expression of CYP27B1 and CYP24A1 were measured in 153 tumor samples and their associations with genotypes and patient survival were also analyzed. In the case-control comparison, we found SNP rs3782130 (CYP27B1), rs7041 (GC), rs6068816 and rs4809957 (CYP24A1) associated with NSCLC risk. The risk of NSCLC was increased with the number of risk alleles. CYP27B1 and CYP24A1 expression were significantly different between tumor and normal tissues in NSCLC. High CYP27B1 expression was associated with better overall survival, and the expression was different by the rs3782130 genotype. The study suggests that some genetic polymorphisms involved in the vitamin D pathway may associate with NSCLC risk, and one of the polymorphisms (rs3782130) may affect gene expression and patient survival. PMID:25544771

  17. Phased Whole-Genome Genetic Risk in a Family Quartet Using a Major Allele Reference Sequence

    PubMed Central

    Dewey, Frederick E.; Chen, Rong; Cordero, Sergio P.; Ormond, Kelly E.; Caleshu, Colleen; Karczewski, Konrad J.; Whirl-Carrillo, Michelle; Wheeler, Matthew T.; Dudley, Joel T.; Byrnes, Jake K.; Cornejo, Omar E.; Knowles, Joshua W.; Woon, Mark; Sangkuhl, Katrin; Gong, Li; Thorn, Caroline F.; Hebert, Joan M.; Capriotti, Emidio; David, Sean P.; Pavlovic, Aleksandra; West, Anne; Thakuria, Joseph V.; Ball, Madeleine P.; Zaranek, Alexander W.; Rehm, Heidi L.; Church, George M.; West, John S.; Bustamante, Carlos D.; Snyder, Michael; Altman, Russ B.; Klein, Teri E.; Butte, Atul J.; Ashley, Euan A.

    2011-01-01

    Whole-genome sequencing harbors unprecedented potential for characterization of individual and family genetic variation. Here, we develop a novel synthetic human reference sequence that is ethnically concordant and use it for the analysis of genomes from a nuclear family with history of familial thrombophilia. We demonstrate that the use of the major allele reference sequence results in improved genotype accuracy for disease-associated variant loci. We infer recombination sites to the lowest median resolution demonstrated to date (<1,000 base pairs). We use family inheritance state analysis to control sequencing error and inform family-wide haplotype phasing, allowing quantification of genome-wide compound heterozygosity. We develop a sequence-based methodology for Human Leukocyte Antigen typing that contributes to disease risk prediction. Finally, we advance methods for analysis of disease and pharmacogenomic risk across the coding and non-coding genome that incorporate phased variant data. We show these methods are capable of identifying multigenic risk for inherited thrombophilia and informing the appropriate pharmacological therapy. These ethnicity-specific, family-based approaches to interpretation of genetic variation are emblematic of the next generation of genetic risk assessment using whole-genome sequencing. PMID:21935354

  18. Genetic risk and longitudinal disease activity in systemic lupus erythematosus using targeted maximum likelihood estimation.

    PubMed

    Gianfrancesco, M A; Balzer, L; Taylor, K E; Trupin, L; Nititham, J; Seldin, M F; Singer, A W; Criswell, L A; Barcellos, L F

    2016-09-01

    Systemic lupus erythematous (SLE) is a chronic autoimmune disease associated with genetic and environmental risk factors. However, the extent to which genetic risk is causally associated with disease activity is unknown. We utilized longitudinal-targeted maximum likelihood estimation to estimate the causal association between a genetic risk score (GRS) comprising 41 established SLE variants and clinically important disease activity as measured by the validated Systemic Lupus Activity Questionnaire (SLAQ) in a multiethnic cohort of 942 individuals with SLE. We did not find evidence of a clinically important SLAQ score difference (>4.0) for individuals with a high GRS compared with those with a low GRS across nine time points after controlling for sex, ancestry, renal status, dialysis, disease duration, treatment, depression, smoking and education, as well as time-dependent confounding of missing visits. Individual single-nucleotide polymorphism (SNP) analyses revealed that 12 of the 41 variants were significantly associated with clinically relevant changes in SLAQ scores across time points eight and nine after controlling for multiple testing. Results based on sophisticated causal modeling of longitudinal data in a large patient cohort suggest that individual SLE risk variants may influence disease activity over time. Our findings also emphasize a role for other biological or environmental factors. PMID:27467283

  19. Linking genetic counseling content to short-term outcomes in individuals at elevated breast cancer risk.

    PubMed

    Kelly, Kimberly M; Ellington, Lee; Schoenberg, Nancy; Agarwal, Parul; Jackson, Thomas; Dickinson, Stephanie; Abraham, Jame; Paskett, Electra D; Leventhal, Howard; Andrykowski, Michael

    2014-10-01

    Few studies have linked actual genetic counseling content to short-term outcomes. Using the Self-regulation Model, the impact of cognitive and affective content in genetic counseling on short-term outcomes was studied in individuals at elevated risk of familial breast-ovarian cancer. Surveys assessed dependent variables: distress, perceived risk, and 6 knowledge measures (Meaning of Positive Test; Meaning of Negative Test; Personal Behavior; Practitioner Knowledge; Mechanisms of Cancer Inheritance; Frequency of Inherited Cancer) measured at pre- and post-counseling. Proportion of participant cognitive and affective and counselor cognitive and affective content during sessions (using LIWC software) were predictors in regressions. Knowledge increased for 5 measures and decreased for Personal Behavior, Distress and Perceived Risk. Controlling for age and education, results were significant/marginally significant for three measures. More counselor content was associated with decreases in knowledge of Personal Behavior. More participant and less counselor affective content was associated with gains in Practitioner Knowledge. More counselor cognitive, and interaction of counselor cognitive and affective content, were associated with higher perceived risk. Genetic counselors dominate the content of counseling sessions. Therefore, their content is tied more closely to short term outcomes than participant content. A lack of patient communication in sessions may pose problems for understanding of complex concepts.

  20. Linking Genetic Counseling Content to Short-Term Outcomes in Individuals at Elevated Breast Cancer Risk

    PubMed Central

    Ellington, Lee; Schoenberg, Nancy; Agarwal, Parul; Jackson, Thomas; Dickinson, Stephanie; Abraham, Jame; Paskett, Electra D.; Leventhal, Howard; Andrykowski, Michael

    2014-01-01

    Few studies have linked actual genetic counseling content to short-term outcomes. Using the Self-regulation Model, the impact of cognitive and affective content in genetic counseling on short-term outcomes was studied in individuals at elevated risk of familial breast-ovarian cancer. Surveys assessed dependent variables: distress, perceived risk, and 6 knowledge measures (Meaning of Positive Test; Meaning of Negative Test; Personal Behavior; Practitioner Knowledge; Mechanisms of Cancer Inheritance; Frequency of Inherited Cancer) measured at pre- and post-counseling. Proportion of participant cognitive and affective and counselor cognitive and affective content during sessions (using LIWC software) were predictors in regressions. Knowledge increased for 5 measures and decreased for Personal Behavior, Distress and Perceived Risk. Controlling for age and education, results were significant/marginally significant for three measures. More counselor content was associated with decreases in knowledge of Personal Behavior. More participant and less counselor affective content was associated with gains in Practitioner Knowledge. More counselor cognitive, and interaction of counselor cognitive and affective content, were associated with higher perceived risk. Genetic counselors dominate the content of counseling sessions. Therefore, their content is tied more closely to short term outcomes than participant content. A lack of patient communication in sessions may pose problems for understanding of complex concepts. PMID:24671341

  1. Genetic polymorphisms in the cytokine genes and risk of hepatocellular carcinoma in low-risk non-Asians of USA

    PubMed Central

    Ognjanovic, Simona; Yuan, Jian-Min; Chaptman, Ann K.; Fan, Yunhua; Yu, Mimi C.

    2009-01-01

    Polymorphisms in cytokine genes responsible for inflammatory and immune responses are associated with risk of hepatocellular carcinoma (HCC) in high-risk Chinese population. Similar data in low-risk populations are lacking. A population-based case–control study of HCC was conducted including 120 HCC patients and 230 matched control subjects of non-Asian residents in Los Angeles County, California. Genetic variants in the interferon γ (IFNγ), tumor necrosis factor-α (TNFα), interleukin-2 (IL-2), IL-4, IL-6, IL-10, IL-12 and IL-18 genes were determined by Taqman assays. The logistic regression method was used to analyze the data. For T helper (Th) 1 genes (IFNγ, IL-6 and IL-12), relative to the putative high-activity genotypes, individual low-activity genotypes were associated with statistically non-significant increases in HCC risk. The odds ratio (OR) was 1.53 [95% confidence interval (CI) = 0.53–4.39] for three versus zero low-activity genotypes. For Th2 cytokines (IL-4 and IL-10), low- versus high-activity genotypes were associated with statistically non-significant decreases in HCC risk. The OR was 0.64 (95% CI = 0.27–1.55) for two versus zero low-activity genotypes. When the Th1 and Th2 genotypes were examined simultaneously, the highest level of risk was observed in individuals jointly possessing the highest number of low-activity Th1 genotypes and the lowest number of low-activity Th2 genotypes. There was a roughly doubling of risk between these two extreme genetic profiles, which did not reach statistical significance (OR = 1.98, 95% CI = 0.50–7.84, P = 0.08). In contrast to high-risk Chinese, Th1 and Th2 genotypes did not impact in a major way on risk of HCC in USA non-Asians. PMID:19126646

  2. Genetic variants influencing circulating lipid levels and risk of coronary artery disease

    PubMed Central

    Waterworth, Dawn M; Ricketts, Sally L; Song, Kijoung; Chen, Li; Zhao, Jing Hua; Ripatti, Samuli; Aulchenko, Yurii S; Zhang, Weihua; Yuan, Xin; Lim, Noha; Luan, Jian’an; Ashford, Sofie; Wheeler, Eleanor; Young, Elizabeth H; Hadley, David; Thompson, John R; Braund, Peter S; Johnson, Toby; Struchalin, Maksim; Surakka, Ida; Luben, Robert; Khaw, Kay-Tee; Rodwell, Sheila A; Loos, Ruth J F; Boekholdt, S. Matthijs; Inouye, Michael; Deloukas, Panagiotis; Elliott, Paul; Schlessinger, David; Sanna, Serena; Scuteri, Angelo; Jackson, Anne; Mohlke, Karen L; Tuomilehto, Jaako; Roberts, Robert; Stewart, Alexandre; Kesäniemi, Y Antero; Mahley, Robert W; Grundy, Scott M; Hofman, Albert; McArdle, Wendy; Cardon, Lon; Waeber, Gérard; Vollenweider, Peter; Chambers, John C; Boehnke, Michael; Abecasis, Gonçalo R; Salomaa, Veikko; Järvelin, Marjo-Riitta; Barroso, Inês; Epstein, Stephen E; Hakonarson, Hakon H; Rader, Daniel J; Reilly, Muredach P; Witteman, Jacqueline C M; Hall, Alistair S; Samani, Nilesh J; Strachan, David P; Barter, Philip; van Duijn, Cornelia M; Kooner, Jaspal S; Peltonen, Leena; Wareham, Nicholas J; McPherson, Ruth; Mooser, Vincent; Sandhu, Manjinder S

    2013-01-01

    Objectives Genetic studies might provide new insights into the biological mechanisms underlying lipid metabolism and risk of CAD. We therefore conducted a genome-wide association study to identify novel genetic determinants of LDL-c, HDL-c and triglycerides. Methods and results We combined genome-wide association data from eight studies, comprising up to 17,723 participants with information on circulating lipid concentrations. We did independent replication studies in up to 37,774 participants from eight populations and also in a population of Indian Asian descent. We also assessed the association between SNPs at lipid loci and risk of CAD in up to 9,633 cases and 38,684 controls. We identified four novel genetic loci that showed reproducible associations with lipids (P values 1.6 × 10−8 to 3.1 × 10−10). These include a potentially functional SNP in the SLC39A8 gene for HDL-c, a SNP near the MYLIP/GMPR and PPP1R3B genes for LDL-c and at the AFF1 gene for triglycerides. SNPs showing strong statistical association with one or more lipid traits at the CELSR2, APOB, APOE-C1-C4-C2 cluster, LPL, ZNF259-APOA5-A4-C3-A1 cluster and TRIB1 loci were also associated with CAD risk (P values 1.1 × 10−3 to 1.2 × 10−9). Conclusions We have identified four novel loci associated with circulating lipids. We also show that in addition to those that are largely associated with LDL-c, genetic loci mainly associated with circulating triglycerides and HDL-c are also associated with risk of CAD. These findings potentially provide new insights into the biological mechanisms underlying lipid metabolism and CAD risk. PMID:20864672

  3. Telomere length, genetic variants and gastric cancer risk in a Chinese population.

    PubMed

    Du, Jiangbo; Zhu, Xun; Xie, Cuiwei; Dai, Ningbin; Gu, Yayun; Zhu, Meng; Wang, Cheng; Gao, Yong; Pan, Feng; Ren, Chuanli; Ji, Yong; Dai, Juncheng; Ma, Hongxia; Jiang, Yue; Chen, Jiaping; Yi, Honggang; Zhao, Yang; Hu, Zhibin; Shen, Hongbing; Jin, Guangfu

    2015-09-01

    Telomeres maintain chromosomal stability and integrity and are crucial in carcinogenesis. Telomere length is implicated in multiple cancer risk, but the results are conflicting. Genome-wide association studies have identified several genetic loci associated with telomere length in Caucasians. However, the roles of telomere length and related variants on gastric cancer development are largely unknown. We conducted a case-control study including 1136 gastric cancer cases and 1012 controls to evaluate the associations between telomere length, eight telomere length-related variants identified in Caucasians and gastric cancer risk in Chinese population. We observed an obvious U-shaped association between telomere length and gastric cancer risk (P < 0.001), with odds ratios (95% confidence intervals) being 3.81 (2.82-5.13), 1.65 (1.21-2.26), 1.28 (0.93-1.77) and 1.78 (1.30-2.44) for individuals in the first (the shortest), second, third and fifth (the longest) quintile as compared with those in the fourth quintile as reference group. The weighted genetic score (WGS) of eight variants was significantly associated with telomere length (P < 0.001), and in particular, the G allele of rs2736100 in TERT at 5p15.33 exhibited a significant association with long telomeres (P = 0.047). However, we did not observe significant associations between these genetic variants and gastric cancer risk for both single-variant and WGS analyses. These findings suggest that either short or extreme long telomeres may be risk factor for gastric cancer. Genetic variants identified in Caucasians may also contribute to the variation of telomere length in Chinese but seems not to gastric cancer susceptibility.

  4. Novel Genetic Markers Associate with Atrial Fibrillation Risk in Europeans and Japanese

    PubMed Central

    Agarwal, Sunil K.; Bis, Joshua C.; Brody, Jennifer A.; Chen, Lin Y.; Everett, Brendan M.; Ford, Ian; Franco, Oscar H.; Harris, Tamara B.; Hofman, Albert; Kääb, Stefan; Mahida, Saagar; Kathiresan, Sekar; Kubo, Michiaki; Launer, Lenore J.; MacFarlane, Peter W.; Magnani, Jared W.; McKnight, Barbara; McManus, David D.; Peters, Annette; Psaty, Bruce M.; Rose, Lynda M.; Rotter, Jerome I.; Silbernagel, Guenther; Smith, Jonathan D.; Sotoodehnia, Nona; Stott, David J.; Taylor, Kent D.; Tomaschitz, Andreas; Tsunoda, Tatsuhiko; Uitterlinden, Andre G.; Van Wagoner, David R.; Völker, Uwe; Völzke, Henry

    2014-01-01

    Objectives To identify non-redundant atrial fibrillation (AF) genetic susceptibility signals and examine their cumulative relations with AF risk. Background AF-associated loci span broad genomic regions that may contain multiple susceptibility signals. Whether multiple signals exist at AF loci has not been systematically explored. Methods We performed association testing conditioned on the most significant, independently associated genetic markers at nine established AF loci using two complementary techniques in 64,683 individuals of European ancestry (3,869 incident and 3,302 prevalent AF cases). Genetic risk scores were created and tested for association with AF in Europeans and an independent sample of 11,309 individuals of Japanese ancestry (7,916 prevalent AF cases). Results We observed at least four distinct AF susceptibility signals on chromosome 4q25 upstream of PITX2, but not at the remaining eight AF loci. A multilocus score comprised of 12 genetic markers demonstrated an estimated 5-fold gradient in AF risk. We observed a similar spectrum of risk associated with these markers in Japanese. Regions containing AF signals on chromosome 4q25 displayed a greater degree of evolutionary conservation than the remainder of the locus, suggesting that they may tag regulatory elements. Conclusions The chromosome 4q25 AF locus is architecturally complex and harbors at least four AF susceptibility signals in individuals of European ancestry. Similar polygenic AF susceptibility exists between Europeans and Japanese. Future work is necessary to identify causal variants, determine mechanisms by which associated loci predispose to AF, and explore whether AF susceptibility signals classify individuals at risk for AF and related morbidity. PMID:24486271

  5. [Risk of genetic transformation of multipotent mesenchymal stromal cells in vitro].

    PubMed

    Nikitina, V A; Chausheva, A I

    2014-01-01

    Proof of the efficacy of cell therapy by numerous studies and clinical trials inevitably has raised the question of improving the regulatory framework that governs its use. Particular attention should be paid to the genetic safety of cell preparations. The immune, genetic, and pharmacological modification and expansion of cells in vitro can lead to an undesired effect, which not only has reduced the healing, recovery, and regulatory potential of cell therapy, but also increased the risk of accumulating genetically aberrant cells and the oncogenic transformation of cell preparations. The article has presented the estimation of the parameters of the genetic stability of cultured multipotent mesenchymal stromal cells (MSCs) derived from bone marrow and adipose tissue. The study was conducted using classic methods of genotoxicology, i.e., the individual cells gel-electrophoresis (DNA comets) and the micronucleus test. We described a basic level of DNA damage and the frequency of micronucleus, identified genetically instable cultures, and conducted the comparison of genetic variability of MSCs isolated from different tissues. PMID:25711017

  6. Genetic stratification in myeloid diseases: from risk assessment to clinical decision support tool.

    PubMed

    Ofran, Yishai

    2014-10-01

    Genetic aberrations have become a dominant factor in the stratification of myeloid malignancies. Cytogenetic and a few mutation studies are the backbone of risk assessment models of myeloid malignancies which are a major consideration in clinical decisions, especially patient assignment for allogeneic stem cell transplantation. Progress in our understanding of the genetic basis of the pathogenesis of myeloid malignancies and the growing capabilities of mass sequencing may add new roles for the clinical usage of genetic data. A few recently identified mutations recognized to be associated with specific diseases or clinical scenarios may soon become part of the diagnostic criteria of such conditions. Mutational studies may also advance our capabilities for a more efficient patient selection process, assigning the most effective therapy at the best timing for each patient. The clinical utility of genetic data is anticipated to advance further with the adoption of deep sequencing and next-generation sequencing techniques. We herein suggest some future potential applications of sequential genetic data to identify pending deteriorations at time points which are the best for aggressive interventions such as allogeneic stem cell transplantation. Genetics is moving from being mostly a prognostic factor to becoming a multitasking decision support tool for hematologists. Physicians must pay attention to advances in molecular hematology as it will soon be accessible and influential for most of our patients.

  7. Do personality traits moderate the manifestation of type 2 diabetes genetic risk?☆

    PubMed Central

    Čukić, Iva; Mõttus, René; Luciano, Michelle; Starr, John M; Weiss, Alexander; Deary, Ian J

    2015-01-01

    Objective. To test whether personality traits moderate type 2 diabetes (T2D) genetic risk. Methods. Using a large community-dwelling sample (n = 837, Mage = 69.59 ± 0.85 years, 49% males) we fitted a series of linear regression models predicting glycated haemoglobin (HbA1c) from T2D polygenic risk — aggregation of small individual effects of a large number of single nucleotide polymorphisms (SNPs) — and five personality traits. We tested the main effects of personality traits and their interactions with T2D polygenic risk score, controlling for age and sex. The models in the final set were adjusted for cognitive ability, highest educational qualification, and occupational class. Results. Lower levels of openness were associated with heightened levels of HbA1c (β = − 0.014, p = .032). There was a significant interaction between T2D polygenic risk score and agreeableness: lower agreeableness was related to a stronger association between T2D polygenic risk and HbA1c (β = − 0.08, p = .021). In the model adjusted for cognitive ability, the main effect of openness was not significant (β = − 0.08, p = .057). The interaction between agreeableness and T2D polygenic risk was still present after controlling for cognitive ability and socioeconomic status indicators, and the interaction between conscientiousness and polygenic risk score was also significant: lower conscientiousness was associated with a stronger association between T2D polygenic risk and HbA1c levels (β = 0.09, p = .04). Conclusions. Personality may be associated with markers of diabetes, and may moderate the expression of its genetic risk. PMID:26213352

  8. F8 haplotype and inhibitor risk: results from the Hemophilia Inhibitor Genetics Study (HIGS) Combined Cohort

    PubMed Central

    Schwarz, John; Astermark, Jan; Menius, Erika D.; Carrington, Mary; Donfield, Sharyne M.; Gomperts, Edward D.; Nelson, George W.; Oldenburg, Johannes; Pavlova, Anna; Shapiro, Amy D.; Winkler, Cheryl A.; Berntorp, Erik

    2012-01-01

    Background Ancestral background, specifically African descent, confers higher risk for development of inhibitory antibodies to factor VIII (FVIII) in hemophilia A. It has been suggested that differences in the distribution of factor VIII gene (F8) haplotypes, and mismatch between endogenous F8 haplotypes and those comprising products used for treatment could contribute to risk. Design and Methods Data from the HIGS Combined Cohort were used to determine the association between F8 haplotype 3 (H3) vs. haplotypes 1 and 2 (H1+H2) and inhibitor risk among individuals of genetically-determined African descent. Other variables known to affect inhibitor risk including type of F8 mutation and HLA were included in the analysis. A second research question regarding risk related to mismatch in endogenous F8 haplotype and recombinant FVIII products used for treatment was addressed. Results H3 was associated with higher inhibitor risk among those genetically-identified (N=49) as of African ancestry, but the association did not remain significant after adjustment for F8 mutation type and the HLA variables. Among subjects of all racial ancestries enrolled in HIGS who reported early use of recombinant products (N=223), mismatch in endogenous haplotype and the FVIII proteins constituting the products used did not confer greater risk for inhibitor development. Conclusion H3 was not an independent predictor of inhibitor risk. Further, our findings did not support a higher risk of inhibitors in the presence of a haplotype mismatch between the FVIII molecule infused and that of the individual. PMID:22958194

  9. Regional differences in awareness and attitudes regarding genetic testing for disease risk and ancestry

    PubMed Central

    Jonassaint, Charles R.; Santos, Eunice R.; Glover, Crystal M.; Payne, Perry W.; Fasaye, Grace-Ann; Oji-Njideka, Nefertiti; Hooker, Stanley; Hernandez, Wenndy; Foster, Morris W.; Kittles, Rick A.

    2010-01-01

    Little is known about the lay public’s awareness and attitudes concerning genetic testing and what factors influence their perspectives. The existing literature focuses mainly on ethnic and socioeconomic differences; however, here we focus on how awareness and attitudes regarding genetic testing differ by geographical regions in the US. We compared awareness and attitudes concerning genetic testing for disease risk and ancestry among 452 adults (41% Black and 67% female) in four major US cities, Norman, OK; Cincinnati, OH; Harlem, NY; and Washington, DC; prior to their participation in genetic ancestry testing. The OK participants reported more detail about their personal ancestries (p = 0.02) and valued ancestry testing over disease testing more than all other sites (p < 0.01). The NY participants were more likely than other sites to seek genetic testing for disease (p = 0.01) and to see benefit in finding out more about one’s ancestry (p = 0.02), while the DC participants reported reading and hearing more about genetic testing for African ancestry than all other sites (p < 0.01). These site differences were not better accounted for by sex, age, education, self-reported ethnicity, religion, or previous experience with genetic testing/counseling. Regional differences in awareness and attitudes transcend traditional demographic predictors, such as ethnicity, age and education. Local sociocultural factors, more than ethnicity and socioeconomic status, may influence the public’s awareness and belief systems, particularly with respect to genetics. PMID:20549517

  10. Pleiotropic effects of genetic risk variants for other cancers on colorectal cancer risk: PAGE, GECCO, and CCFR Consortia

    PubMed Central

    Cheng, Iona; Kocarnik, Jonathan M; Dumitrescu, Logan; Lindor, Noralane M; Chang-Claude, Jenny; Avery, Christy L.; Caberto, Christian P; Love, Shelly-Ann; Slattery, Martha L; Chan, Andrew T; Baron, John A; Hindorff, Lucia A; Park, Sungshim Lani; Schumacher, Fredrick R; Hoffmeister, Michael; Kraft, Peter; Butler, Anne; Duggan, David; Hou, Lifang; Carlson, Chris S; Monroe, Kristine R; Lin, Yi; Carty, Cara L; Mann, Sue; Ma, Jing; Giovannucci, Edward L; Fuchs, Charles S; Newcomb, Polly A; Jenkins, Mark A; Hopper, John L; Haile, Robert W; Conti, David V; Campbell, Peter T; Potter, John D; Caan, Bette J; Schoen, Robert E; Hayes, Richard B; Chanock, Stephen J; Berndt, Sonja I; Kury, Sebastien; Bezieau, Stephane; Ambite, Jose Luis; Kumaraguruparan, Gowri; Richardson, Danielle; Goodloe, Robert J; Dilks, Holli H; Baker, Paxton; Zanke, Brent W; Lemire, Mathieu; Gallinger, Steven; Hsu, Li; Jiao, Shuo; Harrison, Tabitha; Seminara, Daniela; Haiman, Christopher A; Kooperberg, Charles; Wilkens, Lynne R; Hutter, Carolyn M; White, Emily; Crawford, Dana C; Heiss, Gerardo; Hudson, Thomas J; Brenner, Hermann; Bush, William S; Casey, Graham; Marchand, Loic Le; Peters, Ulrike

    2013-01-01

    Objective Genome-wide association studies (GWAS) have identified a large number of single nucleotide polymorphisms (SNPs) associated with a wide array of cancer sites. Several of these variants demonstrate associations with multiple cancers, suggesting pleiotropic effects and shared biological mechanisms across some cancers. We hypothesized that SNPs previously associated with other cancers may additionally be associated with colorectal cancer. In a large-scale study, we examined 171 SNPs previously associated with 18 different cancers for their associations with colorectal cancer. Design We examined 13,338 colorectal cancer cases and 40,967 controls from three consortia: Population Architecture using Genetics and Epidemiology (PAGE), Genetic Epidemiology of Colorectal Cancer (GECCO), and the Colon Cancer Family Registry (CCFR). Study-specific logistic regression results, adjusted for age, sex, principal components of genetic ancestry, and/or study specific factors (as relevant) were combined using fixed-effect meta-analyses to evaluate the association between each SNP and colorectal cancer risk. A Bonferroni-corrected p-value of 2.92×10−4 was used to determine statistical significance of the associations. Results Two correlated SNPs— rs10090154 and rs4242382—in Region 1 of chromosome 8q24, a prostate cancer susceptibility region, demonstrated statistically significant associations with colorectal cancer risk. The most significant association was observed with rs4242382 (meta-analysis OR=1.12; 95% CI: 1.07–1.18; P=1.74×10−5), which also demonstrated similar associations across racial/ethnic populations and anatomical sub-sites. Conclusion This is the first study to clearly demonstrate Region 1 of chromosome 8q24 as a susceptibility locus for colorectal cancer, thus adding colorectal cancer to the list of cancer sites linked to this particular multi-cancer risk region at 8q24. PMID:23935004

  11. Genetic variants associated with celiac disease and the risk for coronary artery disease.

    PubMed

    Jansen, Henning; Willenborg, Christina; Schlesinger, Sabrina; Ferrario, Paola G; König, Inke R; Erdmann, Jeanette; Samani, Nilesh J; Lieb, Wolfgang; Schunkert, Heribert

    2015-10-01

    Epidemiological evidence suggests that patients with celiac disease are at increased risk for coronary artery disease (CAD). Genetic-epidemiological analyses identified many single nucleotide polymorphisms (SNPs) associated with celiac disease. If there is a causal relation between celiac disease and CAD, one might expect that risk alleles primarily associated with celiac disease also increase the risk of CAD. In this study we identified from literature 41 SNPs that have been previously described to be genome-wide associated with celiac disease (p < 5 × 10(-08)). These SNPs were evaluated for their association with CAD in the Coronary ARtery DIsease Genome-wide Replication and Meta-analysis (CARDIoGRAM) dataset, a meta-analysis comprising genome-wide SNP association data from 22,233 CAD cases and 64,762 controls. 24 out of 41 (58.5 %) risk alleles for celiac disease displayed a positive association with CAD (CAD-OR range 1.001-1.081). The remaining risk alleles for celiac disease (n = 16) revealed CAD-ORs of ≤1.0 (range 0.951-1.0). The proportion of CAD associated alleles was greater but did not differ significantly from the proportion of 50 % expected by chance (p = 0.069). One SNP (rs653178 at the SH2B3/ATXN2 locus) displayed study-wise statistically significant association with CAD with directionality consistent effects on celiac disease and CAD. However, the effect of this locus is most likely driven by pleiotropic effects on multiple other diseases. In conclusion, this genetically based approach provided no convincing evidence that SNPs associated with celiac disease contribute to the risk of CAD. Hence, common non-genetic factors may play a more important role explaining the coincidence of these two complex disease conditions.

  12. Genetic Counseling

    MedlinePlus

    Genetic counseling provides information and support to people who have, or may be at risk for, genetic disorders. A ... meets with you to discuss genetic risks. The counseling may be for yourself or a family member. ...

  13. Optical highlighter molecules in neurobiology.

    PubMed

    Datta, Sandeep Robert; Patterson, George H

    2012-02-01

    The development of advanced optical methods has played a key role in propelling progress in neurobiology. Genetically-encoded fluorescent molecules found in nature have enabled labeling of individual neurons to study their physiology and anatomy. Here we discuss the recent use of both native and synthetic optical highlighter proteins to address key problems in neurobiology, including questions relevant to synaptic function, neuroanatomy, and the organization of neural circuits.

  14. Tourette syndrome research highlights 2015.

    PubMed

    Richards, Cheryl A; Black, Kevin J

    2016-01-01

    We present selected highlights from research that appeared during 2015 on Tourette syndrome and other tic disorders. Topics include phenomenology, comorbidities, developmental course, genetics, animal models, neuroimaging, electrophysiology, pharmacology, and treatment. We briefly summarize articles whose results we believe may lead to new treatments, additional research or modifications in current models of TS. PMID:27429744

  15. Tourette syndrome research highlights 2015

    PubMed Central

    Richards, Cheryl A.; Black, Kevin J.

    2016-01-01

    We present selected highlights from research that appeared during 2015 on Tourette syndrome and other tic disorders. Topics include phenomenology, comorbidities, developmental course, genetics, animal models, neuroimaging, electrophysiology, pharmacology, and treatment. We briefly summarize articles whose results we believe may lead to new treatments, additional research or modifications in current models of TS. PMID:27429744

  16. Genetically modified foods: safety, risks and public concerns-a review.

    PubMed

    Bawa, A S; Anilakumar, K R

    2013-12-01

    Genetic modification is a special set of gene technology that alters the genetic machinery of such living organisms as animals, plants or microorganisms. Combining genes from different organisms is known as recombinant DNA technology and the resulting organism is said to be 'Genetically modified (GM)', 'Genetically engineered' or 'Transgenic'. The principal transgenic crops grown commercially in field are herbicide and insecticide resistant soybeans, corn, cotton and canola. Other crops grown commercially and/or field-tested are sweet potato resistant to a virus that could destroy most of the African harvest, rice with increased iron and vitamins that may alleviate chronic malnutrition in Asian countries and a variety of plants that are able to survive weather extremes. There are bananas that produce human vaccines against infectious diseases such as hepatitis B, fish that mature more quickly, fruit and nut trees that yield years earlier and plants that produce new plastics with unique properties. Technologies for genetically modifying foods offer dramatic promise for meeting some areas of greatest challenge for the 21st century. Like all new technologies, they also pose some risks, both known and unknown. Controversies and public concern surrounding GM foods and crops commonly focus on human and environmental safety, labelling and consumer choice, intellectual property rights, ethics, food security, poverty reduction and environmental conservation. With this new technology on gene manipulation what are the risks of "tampering with Mother Nature"?, what effects will this have on the environment?, what are the health concerns that consumers should be aware of? and is recombinant technology really beneficial? This review will also address some major concerns about the safety, environmental and ecological risks and health hazards involved with GM foods and recombinant technology.

  17. Is serum retinol binding protein-4: A predictor for diabetes in genetically high risk population?

    PubMed Central

    Bose, K. Subhash Chandra; Gupta, Shachin K.; Singh, Sandeep

    2012-01-01

    Background: Retinol binding protein-4 (BP-4) a new adipocytokine, specifically binds to retinol, through experimental studies, reported its link between obesity and insulin resistance (IR). But till date no studies are available on influence of genetic predisposition of diabetes on RBP-4 expression. Hence, we aimed to study the influence of genetic predisposition of diabetes on the serum RBP-4 and its role in development of IR and diabetes in genetically high risk population. Materials and Methods: Healthy non diabetic individuals (age 18 to 22) were grouped into Group I: Control (n = 81), whose parents are non diabetic, non hypertensive and does not have any family history of coronary heart diseases. Group II: (n = 157) with one of their parents diabetic and Group III: (n = 47) with both parents diabetic. In all the participants, we estimated fasting serum RBP-4, insulin and glucose. Homeostasis model for assessment-insulin resistance (HOMA-IR) and homeostasis model for assessment-beta cell dysfunction (HOMA-B) were calculated from fasting serum insulin and glucose levels. Results: In this study, we observed significantly higher RBP-4 levels 12.71 ± 2.3 in Group-II and 13.25 ± 2 in Group-III, respectively when compared to Group-I 11.4 ± 1.8 (P < 0.01). RBP-4 showed a significantly strong positive correlation with plasma insulin, glucose and HOMA-IR in genetically high risk population (group II and III) P < 0.01. Linear regression analysis revealed a strong positive association of RBP-4 with parental diabetes even after adjusting for BMI, age and sex (OR 1.53, 95% CI 1.089-1.40). Conclusion: Higher serum RBP-4 and its positive correlation with Insulin, glucose, and HOMA-IR in healthy non diabetic participants of genetically high risk population, indicating its role as predictor for the onset of diabetes in coming future. PMID:23833574

  18. Genetically modified foods: safety, risks and public concerns-a review.

    PubMed

    Bawa, A S; Anilakumar, K R

    2013-12-01

    Genetic modification is a special set of gene technology that alters the genetic machinery of such living organisms as animals, plants or microorganisms. Combining genes from different organisms is known as recombinant DNA technology and the resulting organism is said to be 'Genetically modified (GM)', 'Genetically engineered' or 'Transgenic'. The principal transgenic crops grown commercially in field are herbicide and insecticide resistant soybeans, corn, cotton and canola. Other crops grown commercially and/or field-tested are sweet potato resistant to a virus that could destroy most of the African harvest, rice with increased iron and vitamins that may alleviate chronic malnutrition in Asian countries and a variety of plants that are able to survive weather extremes. There are bananas that produce human vaccines against infectious diseases such as hepatitis B, fish that mature more quickly, fruit and nut trees that yield years earlier and plants that produce new plastics with unique properties. Technologies for genetically modifying foods offer dramatic promise for meeting some areas of greatest challenge for the 21st century. Like all new technologies, they also pose some risks, both known and unknown. Controversies and public concern surrounding GM foods and crops commonly focus on human and environmental safety, labelling and consumer choice, intellectual property rights, ethics, food security, poverty reduction and environmental conservation. With this new technology on gene manipulation what are the risks of "tampering with Mother Nature"?, what effects will this have on the environment?, what are the health concerns that consumers should be aware of? and is recombinant technology really beneficial? This review will also address some major concerns about the safety, environmental and ecological risks and health hazards involved with GM foods and recombinant technology. PMID:24426015

  19. [Genetics of late-onset Alzheimer's disease: vascular risk and beta-amyloid metabolism].

    PubMed

    Panza, Francesco; Solfrizzi, Vincenzo; D'Introno, Alessia; Capurso, Cristiano; Colacicco, Anna Maria; Torres, Francesco; Altomare, Emanuele; Capurso, Antonio

    2002-09-01

    Progress in clinical and basic research of Alzheimer's disease (AD) suggested theoretical models of possible pathogenetic mechanisms, with a primary role of the genetic factors that have been implicated in AD. These can be divided into two main categories. First, the three genes in which mutations are known to result in early onset autosomal dominant familial AD (presenilins 1 and 2, and amyloid beta protein precursor [APP]): well characterized but that account for only a small proportion of AD cases. Secondly, late onset, sporadic AD is more common and evidence suggests that there is a genetic component to this type of disease. A number of genetic risk factors have been implicated that might increase the risk of developing sporadic disease: particularly, apolipoprotein E (apo E) polymorphism and many others suggested by linkage studies [alpha-macroglobulin, low density receptor protein (LRP1), bleomycin hydrolase], with a precise role in beta-amyloid metabolism and deposition. Many of these are controversial and studies have shown conflicting results, but apoE polymorphism seems to be only one of the possible genetic factors suggested to play a role in the multifactoral pathogenesis of AD. Regional and ethnic differences may affect the strength of association between apoE epsilon 4 allele and the disease, and we reported evidences of the decreasing frequency of epsilon 4 allele in AD patients and centenarians from Northern to Southern European regions. Finally, several genetic risk factors of vascular origin (angiotensin converting enzyme, methyltetrahydropholate-reductase, and NOS3 gene polymorphisms) have been implicated in the development of both vascular dementia and AD with conflicting results.

  20. Career and Technical Education Reforms and Comprehensive School Reforms in High Schools: Their Impact on Education Outcomes for At-Risk Youth. The Highlight Zone: Research @ Work.

    ERIC Educational Resources Information Center

    Castellano, Marisa; Stringfield, Samuel; Stone, James R., III

    The impact of career and technical education (CTE) reforms and comprehensive school reforms in high schools on education outcomes for at-risk youth was examined in a review of research on current reforms. The review identified a series of individual, family and home, school, and community factors that can place students at risk of failing to…

  1. Protein interaction network of alternatively spliced isoforms from brain links genetic risk factors for autism.

    PubMed

    Corominas, Roser; Yang, Xinping; Lin, Guan Ning; Kang, Shuli; Shen, Yun; Ghamsari, Lila; Broly, Martin; Rodriguez, Maria; Tam, Stanley; Trigg, Shelly A; Fan, Changyu; Yi, Song; Tasan, Murat; Lemmens, Irma; Kuang, Xingyan; Zhao, Nan; Malhotra, Dheeraj; Michaelson, Jacob J; Vacic, Vladimir; Calderwood, Michael A; Roth, Frederick P; Tavernier, Jan; Horvath, Steve; Salehi-Ashtiani, Kourosh; Korkin, Dmitry; Sebat, Jonathan; Hill, David E; Hao, Tong; Vidal, Marc; Iakoucheva, Lilia M

    2014-04-11

    Increased risk for autism spectrum disorders (ASD) is attributed to hundreds of genetic loci. The convergence of ASD variants have been investigated using various approaches, including protein interactions extracted from the published literature. However, these datasets are frequently incomplete, carry biases and are limited to interactions of a single splicing isoform, which may not be expressed in the disease-relevant tissue. Here we introduce a new interactome mapping approach by experimentally identifying interactions between brain-expressed alternatively spliced variants of ASD risk factors. The Autism Spliceform Interaction Network reveals that almost half of the detected interactions and about 30% of the newly identified interacting partners represent contribution from splicing variants, emphasizing the importance of isoform networks. Isoform interactions greatly contribute to establishing direct physical connections between proteins from the de novo autism CNVs. Our findings demonstrate the critical role of spliceform networks for translating genetic knowledge into a better understanding of human diseases.

  2. Protein interaction network of alternatively spliced isoforms from brain links genetic risk factors for autism

    PubMed Central

    Corominas, Roser; Yang, Xinping; Lin, Guan Ning; Kang, Shuli; Shen, Yun; Ghamsari, Lila; Broly, Martin; Rodriguez, Maria; Tam, Stanley; Trigg, Shelly A.; Fan, Changyu; Yi, Song; Tasan, Murat; Lemmens, Irma; Kuang, Xingyan; Zhao, Nan; Malhotra, Dheeraj; Michaelson, Jacob J.; Vacic, Vladimir; Calderwood, Michael A.; Roth, Frederick P.; Tavernier, Jan; Horvath, Steve; Salehi-Ashtiani, Kourosh; Korkin, Dmitry; Sebat, Jonathan; Hill, David E.; Hao, Tong; Vidal, Marc; Iakoucheva, Lilia M.

    2014-01-01

    Increased risk for autism spectrum disorders (ASD) is attributed to hundreds of genetic loci. The convergence of ASD variants have been investigated using various approaches, including protein interactions extracted from the published literature. However, these datasets are frequently incomplete, carry biases and are limited to interactions of a single splicing isoform, which may not be expressed in the disease-relevant tissue. Here we introduce a new interactome mapping approach by experimentally identifying interactions between brain-expressed alternatively spliced variants of ASD risk factors. The Autism Spliceform Interaction Network reveals that almost half of the detected interactions and about 30% of the newly identified interacting partners represent contribution from splicing variants, emphasizing the importance of isoform networks. Isoform interactions greatly contribute to establishing direct physical connections between proteins from the de novo autism CNVs. Our findings demonstrate the critical role of spliceform networks for translating genetic knowledge into a better understanding of human diseases. PMID:24722188

  3. Relevance of Crop Biology for Environmental Risk Assessment of Genetically Modified Crops in Africa.

    PubMed

    Akinbo, Olalekan; Hancock, James F; Makinde, Diran

    2015-01-01

    Knowledge about the crop biology of economic crops in Africa is needed for regulators to accurately review dossiers and conduct comprehensive environmental risk assessments (ERAs). This information allows regulators to decide whether biotech crops present a risk to biodiversity, since crossing between domesticated crops and their wild relatives could affect the adaptations of the wild species. The criteria that should be used in the evaluation of African crops for ERA include growth habit, center of origin, center of genetic diversity, proximity of wild relatives, inter-fertility, mode of pollen dispersal, length of pollen viability, mating system, invasiveness, weediness, mode of propagation, mode of seed dispersal, and length of seed dormancy. In this paper, we discuss the crops being genetic engineered in Africa and describe the crop biology of those with native relatives.

  4. Relevance of Crop Biology for Environmental Risk Assessment of Genetically Modified Crops in Africa

    PubMed Central

    Akinbo, Olalekan; Hancock, James F.; Makinde, Diran

    2015-01-01

    Knowledge about the crop biology of economic crops in Africa is needed for regulators to accurately review dossiers and conduct comprehensive environmental risk assessments (ERAs). This information allows regulators to decide whether biotech crops present a risk to biodiversity, since crossing between domesticated crops and their wild relatives could affect the adaptations of the wild species. The criteria that should be used in the evaluation of African crops for ERA include growth habit, center of origin, center of genetic diversity, proximity of wild relatives, inter-fertility, mode of pollen dispersal, length of pollen viability, mating system, invasiveness, weediness, mode of propagation, mode of seed dispersal, and length of seed dormancy. In this paper, we discuss the crops being genetic engineered in Africa and describe the crop biology of those with native relatives. PMID:26501055

  5. Strengthening the reporting of genetic risk prediction studies: the GRIPS statement.

    PubMed

    Janssens, A Cecile J W; Ioannidis, John P A; van Duijn, Cornelia M; Little, Julian; Khoury, Muin J

    2011-09-01

    • The rapid and continuing progress in gene discovery for complex diseases is fuelling interest in the potential application of genetic risk models for clinical and public health practice. • The number of studies assessing the predictive ability is steadily increasing, but the quality and completeness of reporting vary. • A multidisciplinary workshop sponsored by the Human Genome Epidemiology Network developed a checklist of 25 items recommended for strengthening the reporting of Genetic RIsk Prediction Studies (GRIPS), building on the principles established by prior reporting guidelines. • These recommendations aim to enhance the transparency of study reporting and thereby to improve the synthesis and application of information from multiple studies that might differ in design, conduct or analysis. • A detailed Explanation and Elaboration document is published as an accompanying article [1].

  6. Strengthening the reporting of genetic risk prediction studies: the GRIPS statement.

    PubMed

    Janssens, A Cecile J W; Ioannidis, John P A; van Duijn, Cornelia M; Little, Julian; Khoury, Muin J

    2011-04-01

    The rapid and continuing progress in gene discovery for complex diseases is fueling interest in the potential application of genetic risk models for clinical and public health practice. The number of studies assessing the predictive ability is steadily increasing, but the quality and completeness of reporting varies. A multidisciplinary workshop sponsored by the Human Genome Epidemiology Network developed a checklist of 25 items recommended for strengthening the reporting of Genetic RIsk Prediction Studies (GRIPS), building on the principles established by prior reporting guidelines. These recommendations aim to enhance the transparency of study reporting, and thereby to improve the synthesis and application of information from multiple studies that might differ in design, conduct, or analysis. A detailed Explanation and Elaboration document is published.

  7. Ecological risk assessment of genetically modified crops based on cellular automata modeling.

    PubMed

    Yang, Jun; Wang, Zhi-Rui; Yang, De-Li; Yang, Qing; Yan, Jun; He, Ming-Feng

    2009-01-01

    The assessment of ecological risk in genetically modified (GM) biological systems is critically important for decision-making and public acceptance. Cellular automata (CA) provide a potential modeling and simulation framework for representing relationships and interspecies interactions both temporally and spatially. In this paper, a simple subsystem contains only four species: crop, target pest, non-target pest and enemy insect, and a three layer arrangement of LxL stochastic cellular automata with a periodic boundary were established. The simulation of this simplified system showed abundant and sufficient complexity in population assembly and densities, suggesting a prospective application in ecological risk assessment of GM crops. PMID:19477260

  8. Ecological risk assessment of genetically modified crops based on cellular automata modeling.

    PubMed

    Yang, Jun; Wang, Zhi-Rui; Yang, De-Li; Yang, Qing; Yan, Jun; He, Ming-Feng

    2009-01-01

    The assessment of ecological risk in genetically modified (GM) biological systems is critically important for decision-making and public acceptance. Cellular automata (CA) provide a potential modeling and simulation framework for representing relationships and interspecies interactions both temporally and spatially. In this paper, a simple subsystem contains only four species: crop, target pest, non-target pest and enemy insect, and a three layer arrangement of LxL stochastic cellular automata with a periodic boundary were established. The simulation of this simplified system showed abundant and sufficient complexity in population assembly and densities, suggesting a prospective application in ecological risk assessment of GM crops.

  9. Hodgkin Lymphoma Risk: Role of Genetic Polymorphisms and Gene-Gene Interactions in DNA repair pathways

    PubMed Central

    Monroy, Claudia M.; Cortes, Andrea C.; Lopez, Mirtha; Rourke, Elizabeth; Etzel, Carol J.; Younes, Anas; Strom, Sara S.; El-Zein, Randa

    2011-01-01

    DNA repair variants may play a potentially important role in an individual’s susceptibility to developing cancer. Numerous studies have reported the association between genetic single nucleotide polymorphisms (SNPs) in DNA repair genes and different types of hematologic cancers. However, to date, the effects of such SNPs on modulating Hodgkin Lymphoma (HL) risk have not yet been investigated. We hypothesized that gene-gene interaction between candidate genes in Direct Reversal, Nucleotide excision repair (NER), Base excision repair (BER) and Double strand break (DSB) pathways may contribute to susceptibility to HL. To test this hypothesis, we conducted a study on 200 HL cases and 220 controls to assess associations between HL risk and 21 functional SNPs in DNA repair genes. We evaluated potential gene-gene interactions and the association of multiple polymorphisms in a chromosome region using a multi-analytic strategy combining logistic regression, multi-factor dimensionality reduction and classification and regression tree approaches. We observed that, in combination, allelic variants in the XPC Ala499Val, NBN Glu185Gln, XRCC3 Thr241Me, XRCC1 Arg194Trp and XRCC1 399Gln polymorphisms modify the risk for developing HL. Moreover, the cumulative genetic risk score revealed a significant trend where the risk for developing HL increases as the number of adverse alleles in BER and DSB genes increase. These findings suggest that DNA repair variants in BER and DSB pathways may play an important role in the development of HL. PMID:21374732

  10. The impact of communicating genetic risks of disease on risk-reducing health behaviour: systematic review with meta-analysis

    PubMed Central

    Hollands, Gareth J; French, David P; Griffin, Simon J; Prevost, A Toby; Sutton, Stephen; King, Sarah

    2016-01-01

    . These results do not support use of genetic testing or the search for risk-conferring gene variants for common complex diseases on the basis that they motivate risk-reducing behaviour. Systematic review registration This is a revised and updated version of a Cochrane review from 2010, adding 11 studies to the seven previously identified. PMID:26979548

  11. ABO Blood Groups and Genetic Risk Factors for Thrombosis in Croatian Population

    PubMed Central

    Jukić, Irena; Bingulac-Popović, Jasna; Đogić, Vesna; Babić, Ivana; Culej, Jelena; Tomičić, Maja; Vuk, Tomislav; Šarlija, Dorotea; Balija, Melita

    2009-01-01

    Aim To assess the association between ABO blood group genotypes and genetic risk factors for thrombosis (FV Leiden, prothrombin G20210A, and methylenetetrahydrofolate reductase C677T mutations) in the Croatian population and to determine whether genetic predisposition to thrombotic risk is higher in non-OO blood group genotypes than in OO blood group genotypes. Methods The study included 154 patients with thrombosis and 200 asymptomatic blood donors as a control group. Genotyping to 5 common alleles of ABO blood groups was performed by polymerase chain reaction with sequence specific primers (PCR-SSP). FV Leiden was determined by PCR-SSP, while prothrombin and methylenetetrahydrofolate reductase were determined by PCR and restriction fragment length polymorphism (PCR-RFLP). Results There was an association between non-OO blood group genotypes and the risk of thrombosis (odds ratio [OR] 2.08, 95% confidence interval [CI], 1.32-3.27). The strongest association with thrombotic risk was recorded for A1B/A2B blood group genotypes (OR, 2.73; 95% CI, 1.10-6.74), followed by BB/O1B/O2B (OR, 2.29; 95% CI, 1.25-4.21) and O1A1/O2A1 (OR, 1.95; 95% CI, 1.15-3.31). FV Leiden increased the risk of thrombosis 31-fold in the group of OO carriers and fourfold in the group of non-OO carriers. There was no significant difference in the risk of thrombosis between OO and non-OO blood groups associated with prothrombin mutation. Non-OO carriers positive for methylenetetrahydrofolate reductase had a 5.7 times greater risk of thrombosis than that recorded in OO carriers negative for methylenetetrahydrofolate reductase. Conclusion Study results confirmed the association of non-OO blood group genotypes with an increased risk of thrombosis in Croatia. PMID:20017223

  12. Integration of genetic and clinical risk factors improves prognostication in relapsed childhood B-cell precursor acute lymphoblastic leukemia

    PubMed Central

    Irving, Julie A. E.; Enshaei, Amir; Parker, Catriona A.; Sutton, Rosemary; Kuiper, Roland P.; Erhorn, Amy; Minto, Lynne; Venn, Nicola C.; Law, Tamara; Yu, Jiangyan; Schwab, Claire; Davies, Rosanna; Matheson, Elizabeth; Davies, Alysia; Sonneveld, Edwin; den Boer, Monique L.; Love, Sharon B.; Harrison, Christine J.; Hoogerbrugge, Peter M.; Revesz, Tamas; Saha, Vaskar

    2016-01-01

    Somatic genetic abnormalities are initiators and drivers of disease and have proven clinical utility at initial diagnosis. However, the genetic landscape and its clinical utility at relapse are less well understood and have not been studied comprehensively. We analyzed cytogenetic data from 427 children with relapsed B-cell precursor ALL treated on the international trial, ALLR3. Also we screened 238 patients with a marrow relapse for selected copy number alterations (CNAs) and mutations. Cytogenetic risk groups were predictive of outcome postrelapse and survival rates at 5 years for patients with good, intermediate-, and high-risk cytogenetics were 68%, 47%, and 26%, respectively (P < .001). TP53 alterations and NR3C1/BTG1 deletions were associated with a higher risk of progression: hazard ratio 2.36 (95% confidence interval, 1.51-3.70, P < .001) and 2.15 (1.32-3.48, P = .002). NRAS mutations were associated with an increased risk of progression among standard-risk patients with high hyperdiploidy: 3.17 (1.15-8.71, P = .026). Patients classified clinically as standard and high risk had distinct genetic profiles. The outcome of clinical standard-risk patients with high-risk cytogenetics was equivalent to clinical high-risk patients. Screening patients at relapse for key genetic abnormalities will enable the integration of genetic and clinical risk factors to improve patient stratification and outcome. This study is registered at www.clinicaltrials.org as #ISCRTN45724312. PMID:27229005

  13. Integration of genetic and clinical risk factors improves prognostication in relapsed childhood B-cell precursor acute lymphoblastic leukemia.

    PubMed

    Irving, Julie A E; Enshaei, Amir; Parker, Catriona A; Sutton, Rosemary; Kuiper, Roland P; Erhorn, Amy; Minto, Lynne; Venn, Nicola C; Law, Tamara; Yu, Jiangyan; Schwab, Claire; Davies, Rosanna; Matheson, Elizabeth; Davies, Alysia; Sonneveld, Edwin; den Boer, Monique L; Love, Sharon B; Harrison, Christine J; Hoogerbrugge, Peter M; Revesz, Tamas; Saha, Vaskar; Moorman, Anthony V

    2016-08-18

    Somatic genetic abnormalities are initiators and drivers of disease and have proven clinical utility at initial diagnosis. However, the genetic landscape and its clinical utility at relapse are less well understood and have not been studied comprehensively. We analyzed cytogenetic data from 427 children with relapsed B-cell precursor ALL treated on the international trial, ALLR3. Also we screened 238 patients with a marrow relapse for selected copy number alterations (CNAs) and mutations. Cytogenetic risk groups were predictive of outcome postrelapse and survival rates at 5 years for patients with good, intermediate-, and high-risk cytogenetics were 68%, 47%, and 26%, respectively (P < .001). TP53 alterations and NR3C1/BTG1 deletions were associated with a higher risk of progression: hazard ratio 2.36 (95% confidence interval, 1.51-3.70, P < .001) and 2.15 (1.32-3.48, P = .002). NRAS mutations were associated with an increased risk of progression among standard-risk patients with high hyperdiploidy: 3.17 (1.15-8.71, P = .026). Patients classified clinically as standard and high risk had distinct genetic profiles. The outcome of clinical standard-risk patients with high-risk cytogenetics was equivalent to clinical high-risk patients. Screening patients at relapse for key genetic abnormalities will enable the integration of genetic and clinical risk factors to improve patient stratification and outcome. This study is registered at www.clinicaltrials.org as #ISCRTN45724312. PMID:27229005

  14. Genetic Differences in the Immediate Transcriptome Response to Stress Predict Risk-Related Brain Function and Psychiatric Disorders.

    PubMed

    Arloth, Janine; Bogdan, Ryan; Weber, Peter; Frishman, Goar; Menke, Andreas; Wagner, Klaus V; Balsevich, Georgia; Schmidt, Mathias V; Karbalai, Nazanin; Czamara, Darina; Altmann, Andre; Trümbach, Dietrich; Wurst, Wolfgang; Mehta, Divya; Uhr, Manfred; Klengel, Torsten; Erhardt, Angelika; Carey, Caitlin E; Conley, Emily Drabant; Ruepp, Andreas; Müller-Myhsok, Bertram; Hariri, Ahmad R; Binder, Elisabeth B

    2015-06-01

    Depression risk is exacerbated by genetic factors and stress exposure; however, the biological mechanisms through which these factors interact to confer depression risk are poorly understood. One putative biological mechanism implicates variability in the ability of cortisol, released in response to stress, to trigger a cascade of adaptive genomic and non-genomic processes through glucocorticoid receptor (GR) activation. Here, we demonstrate that common genetic variants in long-range enhancer elements modulate the immediate transcriptional response to GR activation in human blood cells. These functional genetic variants increase risk for depression and co-heritable psychiatric disorders. Moreover, these risk variants are associated with inappropriate amygdala reactivity, a transdiagnostic psychiatric endophenotype and an important stress hormone response trigger. Network modeling and animal experiments suggest that these genetic differences in GR-induced transcriptional activation may mediate the risk for depression and other psychiatric disorders by altering a network of functionally related stress-sensitive genes in blood and brain. PMID:26050039

  15. Reproductive aging-associated common genetic variants and the risk of breast cancer

    PubMed Central

    2012-01-01

    Introduction A younger age at menarche and an older age at menopause are well established risk factors for breast cancer. Recent genome-wide association studies have identified several novel genetic loci associated with these two traits. However, the association between these loci and breast cancer risk is unknown. Methods In this study, we investigated 19 and 17 newly identified single nucleotide polymorphisms (SNPs) from the ReproGen Consortium that have been associated with age at menarche and age at natural menopause, respectively, and assessed their associations with breast cancer risk in 6 population-based studies among up to 3,683 breast cancer cases and 34,174 controls in white women of European ancestry. In addition, we used these SNPs to calculate genetic risk scores (GRSs) based on their associations with each trait. Results After adjusting for age and potential population stratification, two age at menarche associated SNPs (rs1079866 and rs7821178) and one age at natural menopause associated SNP (rs2517388) were associated with breast cancer risk (p values, 0.003, 0.009 and 0.023, respectively). The odds ratios for breast cancer corresponding to per-risk-allele were 1.14 (95% CI, 1.05 to 1.24), 1.08 (95% CI, 1.02 to 1.15) and 1.10 (95% CI, 1.01 to 1.20), respectively, and were in the direction predicted by their associations with age at menarche or age at natural menopause. These associations did not appear to be attenuated by further controlling for self-reported age at menarche, age at natural menopause, or known breast cancer susceptibility loci. Although we did not observe a statistically significant association between any GRS for reproductive aging and breast cancer risk, the 4th and 5th highest quintiles of the younger age at menarche GRS had odds ratios of 1.14 (95% CI, 1.01 to 1.28) and 1.13 (95% CI, 1.00 to 1.27), respectively, compared to the lowest quintile. Conclusions Our study suggests that three genetic variants, independent of their

  16. EFSA's scientific activities and achievements on the risk assessment of genetically modified organisms (GMOs) during its first decade of existence: looking back and ahead.

    PubMed

    Devos, Yann; Aguilera, Jaime; Diveki, Zoltán; Gomes, Ana; Liu, Yi; Paoletti, Claudia; du Jardin, Patrick; Herman, Lieve; Perry, Joe N; Waigmann, Elisabeth

    2014-02-01

    Genetically modified organisms (GMOs) and derived food and feed products are subject to a risk analysis and regulatory approval before they can enter the market in the European Union (EU). In this risk analysis process, the role of the European Food Safety Authority (EFSA), which was created in 2002 in response to multiple food crises, is to independently assess and provide scientific advice to risk managers on any possible risks that the use of GMOs may pose to human and animal health and the environment. EFSA's scientific advice is elaborated by its GMO Panel with the scientific support of several working groups and EFSA's GMO Unit. This review presents EFSA's scientific activities and highlights its achievements on the risk assessment of GMOs for the first 10 years of its existence. Since 2002, EFSA has issued 69 scientific opinions on genetically modified (GM) plant market registration applications, of which 62 for import and processing for food and feed uses, six for cultivation and one for the use of pollen (as or in food), and 19 scientific opinions on applications for marketing products made with GM microorganisms. Several guidelines for the risk assessment of GM plants, GM microorganisms and GM animals, as well as on specific issues such as post-market environmental monitoring (PMEM) were elaborated. EFSA also provided scientific advice upon request of the European Commission on safeguard clause and emergency measures invoked by EU Member States, annual PMEM reports, the potential risks of new biotechnology-based plant breeding techniques, evaluations of previously assessed GMOs in the light of new scientific publications, and the use of antibiotic resistance marker genes in GM plants. Future challenges relevant to the risk assessment of GMOs are discussed. EFSA's risk assessments of GMO applications ensure that data are analysed and presented in a way that facilitates scientifically sound decisions that protect human and animal health and the environment

  17. EFSA's scientific activities and achievements on the risk assessment of genetically modified organisms (GMOs) during its first decade of existence: looking back and ahead.

    PubMed

    Devos, Yann; Aguilera, Jaime; Diveki, Zoltán; Gomes, Ana; Liu, Yi; Paoletti, Claudia; du Jardin, Patrick; Herman, Lieve; Perry, Joe N; Waigmann, Elisabeth

    2014-02-01

    Genetically modified organisms (GMOs) and derived food and feed products are subject to a risk analysis and regulatory approval before they can enter the market in the European Union (EU). In this risk analysis process, the role of the European Food Safety Authority (EFSA), which was created in 2002 in response to multiple food crises, is to independently assess and provide scientific advice to risk managers on any possible risks that the use of GMOs may pose to human and animal health and the environment. EFSA's scientific advice is elaborated by its GMO Panel with the scientific support of several working groups and EFSA's GMO Unit. This review presents EFSA's scientific activities and highlights its achievements on the risk assessment of GMOs for the first 10 years of its existence. Since 2002, EFSA has issued 69 scientific opinions on genetically modified (GM) plant market registration applications, of which 62 for import and processing for food and feed uses, six for cultivation and one for the use of pollen (as or in food), and 19 scientific opinions on applications for marketing products made with GM microorganisms. Several guidelines for the risk assessment of GM plants, GM microorganisms and GM animals, as well as on specific issues such as post-market environmental monitoring (PMEM) were elaborated. EFSA also provided scientific advice upon request of the European Commission on safeguard clause and emergency measures invoked by EU Member States, annual PMEM reports, the potential risks of new biotechnology-based plant breeding techniques, evaluations of previously assessed GMOs in the light of new scientific publications, and the use of antibiotic resistance marker genes in GM plants. Future challenges relevant to the risk assessment of GMOs are discussed. EFSA's risk assessments of GMO applications ensure that data are analysed and presented in a way that facilitates scientifically sound decisions that protect human and animal health and the environment.

  18. Connectomic markers of disease expression, genetic risk and resilience in bipolar disorder

    PubMed Central

    Dima, D; Roberts, R E; Frangou, S

    2016-01-01

    Bipolar disorder (BD) is characterized by emotional dysregulation and cognitive deficits associated with abnormal connectivity between subcortical—primarily emotional processing regions—and prefrontal regulatory areas. Given the significant contribution of genetic factors to BD, studies in unaffected first-degree relatives can identify neural mechanisms of genetic risk but also resilience, thus paving the way for preventive interventions. Dynamic causal modeling (DCM) and random-effects Bayesian model selection were used to define and assess connectomic phenotypes linked to facial affect processing and working memory in a demographically matched sample of first-degree relatives carefully selected for resilience (n=25), euthymic patients with BD (n=41) and unrelated healthy controls (n=46). During facial affect processing, patients and relatives showed similarly increased frontolimbic connectivity; resilient relatives, however, evidenced additional adaptive hyperconnectivity within the ventral visual stream. During working memory processing, patients displayed widespread hypoconnectivity within the corresponding network. In contrast, working memory network connectivity in resilient relatives was comparable to that of controls. Our results indicate that frontolimbic dysfunction during affect processing could represent a marker of genetic risk to BD, and diffuse hypoconnectivity within the working memory network a marker of disease expression. The association of hyperconnectivity within the affect-processing network with resilience to BD suggests adaptive plasticity that allows for compensatory changes and encourages further investigation of this phenotype in genetic and early intervention studies. PMID:26731443

  19. Genetic Addiction Risk Score (GARS): molecular neurogenetic evidence for predisposition to Reward Deficiency Syndrome (RDS).

    PubMed

    Blum, Kenneth; Oscar-Berman, Marlene; Demetrovics, Zsolt; Barh, Debmalya; Gold, Mark S

    2014-12-01

    We have published extensively on the neurogenetics of brain reward systems with reference to the genes related to dopaminergic function in particular. In 1996, we coined "Reward Deficiency Syndrome" (RDS), to portray behaviors found to have gene-based association with hypodopaminergic function. RDS as a useful concept has been embraced in many subsequent studies, to increase our understanding of Substance Use Disorder (SUD), addictions, and other obsessive, compulsive, and impulsive behaviors. Interestingly, albeit others, in one published study, we were able to describe lifetime RDS behaviors in a recovering addict (17 years sober) blindly by assessing resultant Genetic Addiction Risk Score (GARS™) data only. We hypothesize that genetic testing at an early age may be an effective preventive strategy to reduce or eliminate pathological substance and behavioral seeking activity. Here, we consider a select number of genes, their polymorphisms, and associated risks for RDS whereby, utilizing GWAS, there is evidence for convergence to reward candidate genes. The evidence presented serves as a plausible brain-print providing relevant genetic information that will reinforce targeted therapies, to improve recovery and prevent relapse on an individualized basis. The primary driver of RDS is a hypodopaminergic trait (genes) as well as epigenetic states (methylation and deacetylation on chromatin structure). We now have entered a new era in addiction medicine that embraces the neuroscience of addiction and RDS as a pathological condition in brain reward circuitry that calls for appropriate evidence-based therapy and early genetic diagnosis and that requires further intensive investigation.

  20. Practical investigation of the performance of robust logistic regression to predict the genetic risk of hypertension.

    PubMed

    Kesselmeier, Miriam; Legrand, Carine; Peil, Barbara; Kabisch, Maria; Fischer, Christine; Hamann, Ute; Lorenzo Bermejo, Justo

    2014-01-01

    Logistic regression is usually applied to investigate the association between inherited genetic variants and a binary disease phenotype. A limitation of standard methods used to estimate the parameters of logistic regression models is their strong dependence on a few observations deviating from the majority of the data. We used data from the Genetic Analysis Workshop 18 to explore the possible benefit of robust logistic regression to estimate the genetic risk of hypertension. The comparison between standard and robust methods relied on the influence of departing hypertension profiles (outliers) on the estimated odds ratios, areas under the receiver operating characteristic curves, and clinical net benefit. Our results confirmed that single outliers may substantially affect the estimated genotype relative risks. The ranking of variants by probability values was different in standard and in robust logistic regression. For cutoff probabilities between 0.2 and 0.6, the clinical net benefit estimated by leave-one-out cross-validation in the investigated sample was slightly larger under robust regression, but the overall area under the receiver operating characteristic curve was larger for standard logistic regression. The potential advantage of robust statistics in the context of genetic association studies should be investigated in future analyses based on real and simulated data.

  1. Genetic Underpinnings of White Matter ‘Connectivity’: Heritability, Risk, and Heterogeneity in Schizophrenia

    PubMed Central

    Voineskos, Aristotle N.

    2014-01-01

    Schizophrenia is a highly heritable disorder. Thus, the combination of genetics and brain imaging may be a useful strategy to investigate the effects of risk genes on anatomical connectivity, and for gene discovery, i.e. discovering the genetic correlates of white matter phenotypes. Following a database search, I review evidence for heritability of white matter phenotypes. I also review candidate gene investigations, examining association of putative risk variants with white matter phenotypes, as well as the recent flurry of research exploring relationships of genome-wide significant risk loci with white matter phenotypes. Finally, I review multivariate and polygene approaches, which constitute a new wave of imaging-genetics research, including large collaborative initiatives aiming to discover new genes that may predict aspects of white matter microstructure. The literature supports the heritability of white matter phenotypes. Loci in genes intimately implicated in oligodendrocyte and myelin development, growth and maintenance, and neurotrophic systems are associated with white matter microstructure. GWAS variants have not yet sufficiently been explored using DTI-based evaluation of white matter to draw conclusions, although micro-RNA 137 is promising due to its potential regulation of other GWAS schizophrenia genes. Many imaging-genetic studies only include healthy participants, which, while helping control for certain confounds, cannot address questions related to disease heterogeneity or symptom expression, and thus more studies should include participants with schizophrenia. With sufficiently large sample sizes, the future of this field lies in polygene strategies aimed at risk prediction and heterogeneity dissection of schizophrenia that can translate to personalized interventions. PMID:24893906

  2. Genetic variants within the serotonin transporter associated with familial risk for major depression

    PubMed Central

    Talati, Ardesheer; Guffanti, Guia; Odgerel, Zagaa; Ionita-Laza, Iuliana; Malm, Heli; Sourander, Andre; Brown, Alan S.; Wickramaratne, Priya J.; Gingrich, Jay A.; Weissman, Myrna M.

    2015-01-01

    The role of the serotonin transporter promoter linked polymorphism (5HTTLPR) in depression, despite much research, remains unclear. Most studies compare persons with and without depression to each other. We show offspring at high (N=192) as compared to low (N=101) familial risk for major depressive disorder were almost four times as likely to have two copies of the short allele at 5HTTLPR, suggesting that incorporation of family history could be helpful in identifying genetic differences. PMID:25920807

  3. Genetic underpinnings of white matter 'connectivity': heritability, risk, and heterogeneity in schizophrenia.

    PubMed

    Voineskos, Aristotle N

    2015-01-01

    Schizophrenia is a highly heritable disorder. Thus, the combination of genetics and brain imaging may be a useful strategy to investigate the effects of risk genes on anatomical connectivity, and for gene discovery, i.e. discovering the genetic correlates of white matter phenotypes. Following a database search, I review evidence for heritability of white matter phenotypes. I also review candidate gene investigations, examining association of putative risk variants with white matter phenotypes, as well as the recent flurry of research exploring relationships of genome-wide significant risk loci with white matter phenotypes. Finally, I review multivariate and polygene approaches, which constitute a new wave of imaging-genetics research, including large collaborative initiatives aiming to discover new genes that may predict aspects of white matter microstructure. The literature supports the heritability of white matter phenotypes. Loci in genes intimately implicated in oligodendrocyte and myelin development, growth and maintenance, and neurotrophic systems are associated with white matter microstructure. GWAS variants have not yet sufficiently been explored using DTI-based evaluation of white matter to draw conclusions, although micro-RNA 137 is promising due to its potential regulation of other GWAS schizophrenia genes. Many imaging-genetic studies only include healthy participants, which, while helping control for certain confounds, cannot address questions related to disease heterogeneity or symptom expression, and thus more studies should include participants with schizophrenia. With sufficiently large sample sizes, the future of this field lies in polygene strategies aimed at risk prediction and heterogeneity dissection of schizophrenia that can translate to personalized interventions.

  4. Genetic Risk for Attention-Deficit/Hyperactivity Disorder Contributes to Neurodevelopmental Traits in the General Population

    PubMed Central

    Martin, Joanna; Hamshere, Marian L.; Stergiakouli, Evangelia; O’Donovan, Michael C.; Thapar, Anita

    2014-01-01

    Background Attention-deficit/hyperactivity disorder (ADHD) can be viewed as the extreme end of traits in the general population. Epidemiological and twin studies suggest that ADHD frequently co-occurs with and shares genetic susceptibility with autism spectrum disorder (ASD) and ASD-related traits. The aims of this study were to determine whether a composite of common molecular genetic variants, previously found to be associated with clinically diagnosed ADHD, predicts ADHD and ASD-related traits in the general population. Methods Polygenic risk scores were calculated in the Avon Longitudinal Study of Parents and Children (ALSPAC) population sample (N = 8229) based on a discovery case-control genome-wide association study of childhood ADHD. Regression analyses were used to assess whether polygenic scores predicted ADHD traits and ASD-related measures (pragmatic language abilities and social cognition) in the ALSPAC sample. Polygenic scores were also compared in boys and girls endorsing any (rating ≥1) ADHD item (n = 3623). Results Polygenic risk for ADHD showed a positive association with ADHD traits (hyperactive-impulsive, p = .0039; inattentive, p = .037). Polygenic risk for ADHD was also negatively associated with pragmatic language abilities (p = .037) but not with social cognition (p = .43). In children with a rating ≥1 for ADHD traits, girls had a higher polygenic score than boys (p = .003). Conclusions These findings provide molecular genetic evidence that risk alleles for the categorical disorder of ADHD influence hyperactive-impulsive and attentional traits in the general population. The results further suggest that common genetic variation that contributes to ADHD diagnosis may also influence ASD-related traits, which at their extreme are a characteristic feature of ASD. PMID:24673882

  5. Genetic dyslexia risk variant is related to neural connectivity patterns underlying phonological awareness in children.

    PubMed

    Skeide, Michael A; Kirsten, Holger; Kraft, Indra; Schaadt, Gesa; Müller, Bent; Neef, Nicole; Brauer, Jens; Wilcke, Arndt; Emmrich, Frank; Boltze, Johannes; Friederici, Angela D

    2015-09-01

    Phonological awareness is the best-validated predictor of reading and spelling skill and therefore highly relevant for developmental dyslexia. Prior imaging genetics studies link several dyslexia risk genes to either brain-functional or brain-structural factors of phonological deficits. However, coherent evidence for genetic associations with both functional and structural neural phenotypes underlying variation in phonological awareness has not yet been provided. Here we demonstrate that rs11100040, a reported modifier of SLC2A3, is related to the functional connectivity of left fronto-temporal phonological processing areas at resting state in a sample of 9- to 12-year-old children. Furthermore, we provide evidence that rs11100040 is related to the fractional anisotropy of the arcuate fasciculus, which forms the structural connection between these areas. This structural connectivity phenotype is associated with phonological awareness, which is in turn associated with the individual retrospective risk scores in an early dyslexia screening as well as to spelling. These results suggest a link between a dyslexia risk genotype and a functional as well as a structural neural phenotype, which is associated with a phonological awareness phenotype. The present study goes beyond previous work by integrating genetic, brain-functional and brain-structural aspects of phonological awareness within a single approach. These combined findings might be another step towards a multimodal biomarker for developmental dyslexia.

  6. Cerebral metabolic and cognitive decline in persons at genetic risk for Alzheimer's disease

    PubMed Central

    Small, Gary W.; Ercoli, Linda M.; Silverman, Daniel H. S.; Huang, S.-C.; Komo, Scott; Bookheimer, Susan Y.; Lavretsky, Helen; Miller, Karen; Siddarth, Prabha; Rasgon, Natalie L.; Mazziotta, John C.; Saxena, Sanjaya; Wu, H. M.; Mega, Michael S.; Cummings, Jeffrey L.; Saunders, Ann M.; Pericak-Vance, Margaret A.; Roses, Allen D.; Barrio, Jorge R.; Phelps, Michael E.

    2000-01-01

    The major known genetic risk for Alzheimer's disease (AD), apolipoprotein E-4 (APOE-4), is associated with lowered parietal, temporal, and posterior cingulate cerebral glucose metabolism in patients with a clinical diagnosis of AD. To determine cognitive and metabolic decline patterns according to genetic risk, we investigated cerebral metabolic rates by using positron emission tomography in middle-aged and older nondemented persons with normal memory performance. A single copy of the APOE-4 allele was associated with lowered inferior parietal, lateral temporal, and posterior cingulate metabolism, which predicted cognitive decline after 2 years of longitudinal follow-up. For the 20 nondemented subjects followed longitudinally, memory performance scores did not decline significantly, but cortical metabolic rates did. In APOE-4 carriers, a 4% left posterior cingulate metabolic decline was observed, and inferior parietal and lateral temporal regions demonstrated the greatest magnitude (5%) of metabolic decline after 2 years. These results indicate that the combination of cerebral metabolic rates and genetic risk factors provides a means for preclinical AD detection that will assist in response monitoring during experimental treatments. PMID:10811879

  7. Influence of environmental and genetic factors linked to celiac disease risk on infant gut colonization by Bacteroides species.

    PubMed

    Sánchez, Ester; De Palma, Giada; Capilla, Amalia; Nova, Esther; Pozo, Tamara; Castillejo, Gemma; Varea, Vicente; Marcos, Ascensión; Garrote, José Antonio; Polanco, Isabel; López, Ana; Ribes-Koninckx, Carmen; García-Novo, Maria Dolores; Calvo, Carmen; Ortigosa, Luis; Palau, Francesc; Sanz, Yolanda

    2011-08-01

    Celiac disease (CD) is an immune-mediated enteropathy involving genetic and environmental factors whose interaction might influence disease risk. The aim of this study was to determine the effects of milk-feeding practices and the HLA-DQ genotype on intestinal colonization of Bacteroides species in infants at risk of CD development. This study included 75 full-term newborns with at least one first-degree relative suffering from CD. Infants were classified according to milk-feeding practice (breast-feeding or formula feeding) and HLA-DQ genotype (high or low genetic risk). Stools were analyzed at 7 days, 1 month, and 4 months by PCR and denaturing gradient gel electrophoresis (DGGE). The Bacteroides species diversity index was higher in formula-fed infants than in breast-fed infants. Breast-fed infants showed a higher prevalence of Bacteroides uniformis at 1 and 4 months of age, while formula-fed infants had a higher prevalence of B. intestinalis at all sampling times, of B. caccae at 7 days and 4 months, and of B. plebeius at 4 months. Infants with high genetic risk showed a higher prevalence of B. vulgatus, while those with low genetic risk showed a higher prevalence of B. ovatus, B. plebeius, and B. uniformis. Among breast-fed infants, the prevalence of B. uniformis was higher in those with low genetic risk than in those with high genetic risk. Among formula-fed infants, the prevalence of B. ovatus and B. plebeius was increased in those with low genetic risk, while the prevalence of B. vulgatus was higher in those with high genetic risk. The results indicate that both the type of milk feeding and the HLA-DQ genotype influence the colonization process of Bacteroides species, and possibly the disease risk.

  8. Influence of Environmental and Genetic Factors Linked to Celiac Disease Risk on Infant Gut Colonization by Bacteroides Species▿

    PubMed Central

    Sánchez, Ester; De Palma, Giada; Capilla, Amalia; Nova, Esther; Pozo, Tamara; Castillejo, Gemma; Varea, Vicente; Marcos, Ascensión; Garrote, José Antonio; Polanco, Isabel; López, Ana; Ribes-Koninckx, Carmen; García-Novo, Maria Dolores; Calvo, Carmen; Ortigosa, Luis; Palau, Francesc; Sanz, Yolanda

    2011-01-01

    Celiac disease (CD) is an immune-mediated enteropathy involving genetic and environmental factors whose interaction might influence disease risk. The aim of this study was to determine the effects of milk-feeding practices and the HLA-DQ genotype on intestinal colonization of Bacteroides species in infants at risk of CD development. This study included 75 full-term newborns with at least one first-degree relative suffering from CD. Infants were classified according to milk-feeding practice (breast-feeding or formula feeding) and HLA-DQ genotype (high or low genetic risk). Stools were analyzed at 7 days, 1 month, and 4 months by PCR and denaturing gradient gel electrophoresis (DGGE). The Bacteroides species diversity index was higher in formula-fed infants than in breast-fed infants. Breast-fed infants showed a higher prevalence of Bacteroides uniformis at 1 and 4 months of age, while formula-fed infants had a higher prevalence of B. intestinalis at all sampling times, of B. caccae at 7 days and 4 months, and of B. plebeius at 4 months. Infants with high genetic risk showed a higher prevalence of B. vulgatus, while those with low genetic risk showed a higher prevalence of B. ovatus, B. plebeius, and B. uniformis. Among breast-fed infants, the prevalence of B. uniformis was higher in those with low genetic risk than in those with high genetic risk. Among formula-fed infants, the prevalence of B. ovatus and B. plebeius was increased in those with low genetic risk, while the prevalence of B. vulgatus was higher in those with high genetic risk. The results indicate that both the type of milk feeding and the HLA-DQ genotype influence the colonization process of Bacteroides species, and possibly the disease risk. PMID:21642397

  9. Genetic Sharing with Cardiovascular Disease Risk Factors and Diabetes Reveals Novel Bone Mineral Density Loci

    PubMed Central

    Thompson, Wesley K.; McEvoy, Linda K.; Schork, Andrew J.; Zuber, Verena; LeBlanc, Marissa; Bettella, Francesco; Mills, Ian G.; Desikan, Rahul S.; Djurovic, Srdjan; Gautvik, Kaare M.; Dale, Anders M.; Andreassen, Ole A.

    2015-01-01

    Bone Mineral Density (BMD) is a highly heritable trait, but genome-wide association studies have identified few genetic risk factors. Epidemiological studies suggest associations between BMD and several traits and diseases, but the nature of the suggestive comorbidity is still unknown. We used a novel genetic pleiotropy-informed conditional False Discovery Rate (FDR) method to identify single nucleotide polymorphisms (SNPs) associated with BMD by leveraging cardiovascular disease (CVD) associated disorders and metabolic traits. By conditioning on SNPs associated with the CVD-related phenotypes, type 1 diabetes, type 2 diabetes, systolic blood pressure, diastolic blood pressure, high density lipoprotein, low density lipoprotein, triglycerides and waist hip ratio, we identified 65 novel independent BMD loci (26 with femoral neck BMD and 47 with lumbar spine BMD) at conditional FDR < 0.01. Many of the loci were confirmed in genetic expression studies. Genes validated at the mRNA levels were characteristic for the osteoblast/osteocyte lineage, Wnt signaling pathway and bone metabolism. The results provide new insight into genetic mechanisms of variability in BMD, and a better understanding of the genetic underpinnings of clinical comorbidity. PMID:26695485

  10. Bladder cancer risk and genetic variation in AKR1C3 and other metabolizing genes

    PubMed Central

    Figueroa, Jonine D.; Malats, Núria; García-Closas, Montserrat; Real, Francisco X.; Silverman, Debra; Kogevinas, Manolis; Chanock, Stephen; Welch, Robert; Dosemeci, Mustafa; Lan, Qing; Tardón, Adonina; Serra, Consol; Carrato, Alfredo; García-Closas, Reina; Castaño-Vinyals, Gemma; Rothman, Nathaniel

    2008-01-01

    Aromatic amines (AAs) and polycyclic aromatic hydrocarbons (PAHs) are carcinogens present in tobacco smoke and functional polymorphisms in NAT2 and GSTM1 metabolizing genes are associated with increased bladder cancer risk. We evaluated whether genetic variation in other candidate metabolizing genes are also associated with risk. Candidates included genes that control the transcription of metabolizing genes [aryl hydrocarbon receptor (AHR), AHRR and aryl hydrocarbon nuclear translocator (ARNT)] and genes that activate/detoxify AA or PAH (AKR1C3, CYP1A1, CYP1A2, CYP1B1, CYP3A4, EPHX1, EPHX2, NQO1, MPO, UGT1A4, SULT1A1 and SULT1A2). Using genotype data from 1150 cases of urothelial carcinomas and 1149 controls from the Spanish Bladder Cancer Study, we estimated odds ratios (ORs) and 95% confidence intervals (CIs) adjusting for age, gender, region and smoking status. Based on a test for trend, we observed 10 non-redundant single-nucleotide polymorphisms (SNPs) in five genes (AKR1C3, ARNT, CYP1A1, CYP1B1 and SULT1A2) significantly associated with bladder cancer risk. We observed an inverse association with risk for the AKR1C3 promoter SNP rs1937845 [OR (95% CI) for heterozygote and homozygote variant compared with common homozygote genotype were 0.86 (0.70–1.06) and 0.74 (0.57–0.96), respectively; P for trend = 0.02]. Interestingly, genetic variation in this region has been associated with lung, non-Hodgkin lymphoma and prostate cancer risk. Analysis of additional SNPs to capture most (∼90%) of common genetic variation in AKR1C3 and haplotype walking analyses based on all AKR1C3 SNPs (n = 25) suggest two separate regions associated with bladder cancer risk. These results indicate that genetic variation in carcinogen-metabolizing genes, particularly AKR1C3, could be associated with bladder cancer risk. PMID:18632753

  11. Genetic Variation in DNA Repair Pathways and Risk of Non-Hodgkin's Lymphoma

    PubMed Central

    Rendleman, Justin; Antipin, Yevgeniy; Reva, Boris; Adaniel, Christina; Przybylo, Jennifer A.; Dutra-Clarke, Ana; Hansen, Nichole; Heguy, Adriana; Huberman, Kety; Borsu, Laetitia; Paltiel, Ora; Ben-Yehuda, Dina; Brown, Jennifer R.; Freedman, Arnold S.; Sander, Chris; Zelenetz, Andrew; Klein, Robert J.; Shao, Yongzhao; Lacher, Mortimer; Vijai, Joseph; Offit, Kenneth; Kirchhoff, Tomas

    2014-01-01

    Molecular and genetic evidence suggests that DNA repair pathways may contribute to lymphoma susceptibility. Several studies have examined the association of DNA repair genes with lymphoma risk, but the findings from these reports have been inconsistent. Here we provide the results of a focused analysis of genetic variation in DNA repair genes and their association with the risk of non-Hodgkin's lymphoma (NHL). With a population of 1,297 NHL cases and 1,946 controls, we have performed a two-stage case/control association analysis of 446 single nucleotide polymorphisms (SNPs) tagging the genetic variation in 81 DNA repair genes. We found the most significant association with NHL risk in the ATM locus for rs227060 (OR = 1.27, 95% CI: 1.13–1.43, p = 6.77×10−5), which remained significant after adjustment for multiple testing. In a subtype-specific analysis, associations were also observed for the ATM locus among both diffuse large B-cell lymphomas (DLBCL) and small lymphocytic lymphomas (SLL), however there was no association observed among follicular lymphomas (FL). In addition, our study provides suggestive evidence of an interaction between SNPs in MRE11A and NBS1 associated with NHL risk (OR = 0.51, 95% CI: 0.34–0.77, p = 0.0002). Finally, an imputation analysis using the 1,000 Genomes Project data combined with a functional prediction analysis revealed the presence of biologically relevant variants that correlate with the observed association signals. While the findings generated here warrant independent validation, the results of our large study suggest that ATM may be a novel locus associated with the risk of multiple subtypes of NHL. PMID:25010664

  12. A comparison of genetic variants between proficient low- and high-risk sport participants.

    PubMed

    Thomson, Cynthia J; Power, Rebecca J; Carlson, Scott R; Rupert, Jim L; Michel, Grégory

    2015-01-01

    Athletes participating in high-risk sports consistently report higher scores on sensation-seeking measures than do low-risk athletes or non-athletic controls. To determine whether genetic variants commonly associated with sensation seeking were over-represented in such athletes, proficient practitioners of high-risk (n = 141) and low-risk sports (n = 132) were compared for scores on sensation seeking and then genotyped at 33 polymorphic loci in 14 candidate genes. As expected, athletes participating in high-risk sports score higher on sensation seeking than did low-risk sport athletes (P < .01). Genotypes were associated with high-risk sport participation for two genes (stathmin, (P = .004) and brain-derived neurotrophic factor (P = .03)) as well as when demographically matched subsets of the sport cohorts were compared (P < .05); however, in all cases, associations did not survive correction for multiple testing.

  13. A comparison of genetic variants between proficient low- and high-risk sport participants.

    PubMed

    Thomson, Cynthia J; Power, Rebecca J; Carlson, Scott R; Rupert, Jim L; Michel, Grégory

    2015-01-01

    Athletes participating in high-risk sports consistently report higher scores on sensation-seeking measures than do low-risk athletes or non-athletic controls. To determine whether genetic variants commonly associated with sensation seeking were over-represented in such athletes, proficient practitioners of high-risk (n = 141) and low-risk sports (n = 132) were compared for scores on sensation seeking and then genotyped at 33 polymorphic loci in 14 candidate genes. As expected, athletes participating in high-risk sports score higher on sensation seeking than did low-risk sport athletes (P < .01). Genotypes were associated with high-risk sport participation for two genes (stathmin, (P = .004) and brain-derived neurotrophic factor (P = .03)) as well as when demographically matched subsets of the sport cohorts were compared (P < .05); however, in all cases, associations did not survive correction for multiple testing. PMID:25751253

  14. Combining social and genetic networks to study HIV transmission in mixing risk groups

    NASA Astrophysics Data System (ADS)

    Zarrabi, Narges; Prosperi, Mattia C. F.; Belleman, Robbert G.; Di Giambenedetto, Simona; Fabbiani, Massimiliano; De Luca, Andrea; Sloot, Peter M. A.

    2013-09-01

    Reconstruction of HIV transmission networks is important for understanding and preventing the spread of the virus and drug resistant variants. Mixing risk groups is important in network analysis of HIV in order to assess the role of transmission between risk groups in the HIV epidemic. Most of the research focuses on the transmission within HIV risk groups, while transmission between different risk groups has been less studied. We use a proposed filter-reduction method to infer hypothetical transmission networks of HIV by combining data from social and genetic scales. We modified the filtering process in order to include mixing risk groups in the model. For this, we use the information on phylogenetic clusters obtained through phylogenetic analysis. A probability matrix is also defined to specify contact rates between individuals form the same and different risk groups. The method converts the data form each scale into network forms and combines them by overlaying and computing their intersection. We apply this method to reconstruct networks of HIV infected patients in central Italy, including mixing between risk groups. Our results suggests that bisexual behavior among Italian MSM and IDU partnership are relatively important in heterosexual transmission of HIV in central Italy.

  15. Prediction of Breast Cancer Risk Based on Profiling With Common Genetic Variants

    PubMed Central

    Pharoah, Paul D. P.; Michailidou, Kyriaki; Tyrer, Jonathan; Brook, Mark N.; Bolla, Manjeet K.; Wang, Qin; Dennis, Joe; Dunning, Alison M.; Shah, Mitul; Luben, Robert; Brown, Judith; Bojesen, Stig E.; Nordestgaard, Børge G.; Nielsen, Sune F.; Flyger, Henrik; Czene, Kamila; Darabi, Hatef; Eriksson, Mikael; Peto, Julian; dos-Santos-Silva, Isabel; Dudbridge, Frank; Johnson, Nichola; Schmidt, Marjanka K.; Broeks, Annegien; Verhoef, Senno; Rutgers, Emiel J.; Swerdlow, Anthony; Ashworth, Alan; Orr, Nick; Schoemaker, Minouk J.; Figueroa, Jonine; Chanock, Stephen J.; Brinton, Louise; Lissowska, Jolanta; Couch, Fergus J.; Olson, Janet E.; Vachon, Celine; Pankratz, Vernon S.; Lambrechts, Diether; Wildiers, Hans; Van Ongeval, Chantal; van Limbergen, Erik; Kristensen, Vessela; Grenaker Alnæs, Grethe; Nord, Silje; Borresen-Dale, Anne-Lise; Nevanlinna, Heli; Muranen, Taru A.; Aittomäki, Kristiina; Blomqvist, Carl; Chang-Claude, Jenny; Rudolph, Anja; Seibold, Petra; Flesch-Janys, Dieter; Fasching, Peter A.; Haeberle, Lothar; Ekici, Arif B.; Beckmann, Matthias W.; Burwinkel, Barbara; Marme, Frederik; Schneeweiss, Andreas; Sohn, Christof; Trentham-Dietz, Amy; Newcomb, Polly; Titus, Linda; Egan, Kathleen M.; Hunter, David J.; Lindstrom, Sara; Tamimi, Rulla M.; Kraft, Peter; Rahman, Nazneen; Turnbull, Clare; Renwick, Anthony; Seal, Sheila; Li, Jingmei; Liu, Jianjun; Humphreys, Keith; Benitez, Javier; Pilar Zamora, M.; Arias Perez, Jose Ignacio; Menéndez, Primitiva; Jakubowska, Anna; Lubinski, Jan; Jaworska-Bieniek, Katarzyna; Durda, Katarzyna; Bogdanova, Natalia V.; Antonenkova, Natalia N.; Dörk, Thilo; Anton-Culver, Hoda; Neuhausen, Susan L.; Ziogas, Argyrios; Bernstein, Leslie; Devilee, Peter; Tollenaar, Robert A. E. M.; Seynaeve, Caroline; van Asperen, Christi J.; Cox, Angela; Cross, Simon S.; Reed, Malcolm W. R.; Khusnutdinova, Elza; Bermisheva, Marina; Prokofyeva, Darya; Takhirova, Zalina; Meindl, Alfons; Schmutzler, Rita K.; Sutter, Christian; Yang, Rongxi; Schürmann, Peter; Bremer, Michael; Christiansen, Hans; Park-Simon, Tjoung-Won; Hillemanns, Peter; Guénel, Pascal; Truong, Thérèse; Menegaux, Florence; Sanchez, Marie; Radice, Paolo; Peterlongo, Paolo; Manoukian, Siranoush; Pensotti, Valeria; Hopper, John L.; Tsimiklis, Helen; Apicella, Carmel; Southey, Melissa C.; Brauch, Hiltrud; Brüning, Thomas; Ko, Yon-Dschun; Sigurdson, Alice J.; Doody, Michele M.; Hamann, Ute; Torres, Diana; Ulmer, Hans-Ulrich; Försti, Asta; Sawyer, Elinor J.; Tomlinson, Ian; Kerin, Michael J.; Miller, Nicola; Andrulis, Irene L.; Knight, Julia A.; Glendon, Gord; Marie Mulligan, Anna; Chenevix-Trench, Georgia; Balleine, Rosemary; Giles, Graham G.; Milne, Roger L.; McLean, Catriona; Lindblom, Annika; Margolin, Sara; Haiman, Christopher A.; Henderson, Brian E.; Schumacher, Fredrick; Le Marchand, Loic; Eilber, Ursula; Wang-Gohrke, Shan; Hooning, Maartje J.; Hollestelle, Antoinette; van den Ouweland, Ans M. W.; Koppert, Linetta B.; Carpenter, Jane; Clarke, Christine; Scott, Rodney; Mannermaa, Arto; Kataja, Vesa; Kosma, Veli-Matti; Hartikainen, Jaana M.; Brenner, Hermann; Arndt, Volker; Stegmaier, Christa; Karina Dieffenbach, Aida; Winqvist, Robert; Pylkäs, Katri; Jukkola-Vuorinen, Arja; Grip, Mervi; Offit, Kenneth; Vijai, Joseph; Robson, Mark; Rau-Murthy, Rohini; Dwek, Miriam; Swann, Ruth; Annie Perkins, Katherine; Goldberg, Mark S.; Labrèche, France; Dumont, Martine; Eccles, Diana M.; Tapper, William J.; Rafiq, Sajjad; John, Esther M.; Whittemore, Alice S.; Slager, Susan; Yannoukakos, Drakoulis; Toland, Amanda E.; Yao, Song; Zheng, Wei; Halverson, Sandra L.; González-Neira, Anna; Pita, Guillermo; Rosario Alonso, M.; Álvarez, Nuria; Herrero, Daniel; Tessier, Daniel C.; Vincent, Daniel; Bacot, Francois; Luccarini, Craig; Baynes, Caroline; Ahmed, Shahana; Maranian, Mel; Healey, Catherine S.; Simard, Jacques; Hall, Per; Easton, Douglas F.; Garcia-Closas, Montserrat

    2015-01-01

    Background: Data for multiple common susceptibility alleles for breast cancer may be combined to identify women at different levels of breast cancer risk. Such stratification could guide preventive and screening strategies. However, empirical evidence for genetic risk stratification is lacking. Methods: We investigated the value of using 77 breast cancer-associated single nucleotide polymorphisms (SNPs) for risk stratification, in a study of 33 673 breast cancer cases and 33 381 control women of European origin. We tested all possible pair-wise multiplicative interactions and constructed a 77-SNP polygenic risk score (PRS) for breast cancer overall and by estrogen receptor (ER) status. Absolute risks of breast cancer by PRS were derived from relative risk estimates and UK incidence and mortality rates. Results: There was no strong evidence for departure from a multiplicative model for any SNP pair. Women in the highest 1% of the PRS had a three-fold increased risk of developing breast cancer compared with women in the middle quintile (odds ratio [OR] = 3.36, 95% confidence interval [CI] = 2.95 to 3.83). The ORs for ER-positive and ER-negative disease were 3.73 (95% CI = 3.24 to 4.30) and 2.80 (95% CI = 2.26 to 3.46), respectively. Lifetime risk of breast cancer for women in the lowest and highest quintiles of the PRS were 5.2% and 16.6% for a woman without family history, and 8.6% and 24.4% for a woman with a first-degree family history of breast cancer. Conclusions: The PRS stratifies breast cancer risk in women both with and without a family history of breast cancer. The observed level of risk discrimination could inform targeted screening and prevention strategies. Further discrimination may be achievable through combining the PRS with lifestyle/environmental factors, although these were not considered in this report. PMID:25855707

  16. Genetic variants primarily associated with type 2 diabetes are related to coronary artery disease risk

    PubMed Central

    Jansen, Henning; Loley, Christina; Lieb, Wolfgang; Pencina, Michael J; Nelson, Christopher P; Kathiresan, Sekar; Peloso, Gina M; Voight, Benjamin F; Reilly, Muredach P; Assimes, Themistocles L; Boerwinkle, Eric; Hengstenberg, Christian; Laaksonen, Reijo; McPherson, Ruth; Roberts, Robert; Thorsteinsdottir, Unnur; Peters, Annette; Gieger, Christian; Rawal, Rajesh; Thompson, John R; König, Inke R; Vasan, Ramachandran S; Erdmann, Jeanette; Samani, Nilesh J; Schunkert, Heribert

    2015-01-01

    Background The mechanisms underlying the association between diabetes and coronary artery disease (CAD) risk are unclear. We aimed to assess this association by studying genetic variants that have been shown to associate with type 2 diabetes (T2DM). If the association between diabetes and CAD is causal, we expected to observe an association of these variants with CAD as well. Methods and Results We studied all genetic variants currently known to be associated with T2DM at a genome-wide significant level (p<5*10−8) in CARDIoGRAM, a genome-wide data-set of CAD including 22,233 CAD cases and 64,762 controls. Out of the 44 published T2DM SNPs 10 were significantly associated with CAD in CARDIoGRAM (OR>1, p<0.05), more than expected by chance (p=5.0*10−5). Considering all 44 SNPs, the average CAD risk observed per individual T2DM risk allele was 1.0076 (95% confidence interval (CI), 0.9973–1.0180). Such average risk increase was significantly lower than the increase expected based on i) the published effects of the SNPs on T2DM risk and ii) the effect of T2DM on CAD risk as observed in the Framingham Heart Study, which suggested a risk of 1.067 per allele (p=7.2*10−10 vs. the observed effect). Studying two risk scores based on risk alleles of the diabetes SNPs, one score using individual level data in 9856 subjects, and the second score on average effects of reported beta-coefficients from the entire CARDIoGRAM data-set, we again observed a significant - yet smaller than expected - association with CAD. Conclusions Our data indicate that an association between type 2 diabetes related SNPs and CAD exists. However, the effects on CAD risk appear to be by far lower than what would be expected based on the effects of risk alleles on T2DM and the effect of T2DM on CAD in the epidemiological setting. PMID:26074316

  17. Primer Part 1-The building blocks of epilepsy genetics.

    PubMed

    Helbig, Ingo; Heinzen, Erin L; Mefford, Heather C

    2016-06-01

    This is the first of a two-part primer on the genetics of the epilepsies within the Genetic Literacy Series of the Genetics Commission of the International League Against Epilepsy. In Part 1, we cover the foundations of epilepsy genetics including genetic epidemiology and the range of genetic variants that can affect the risk for developing epilepsy. We discuss various epidemiologic study designs that have been applied to the genetics of the epilepsies including population studies, which provide compelling evidence for a strong genetic contribution in many epilepsies. We discuss genetic risk factors varying in size, frequency, inheritance pattern, effect size, and phenotypic specificity, and provide examples of how genetic risk factors within the various categories increase the risk for epilepsy. We end by highlighting trends in epilepsy genetics including the increasing use of massive parallel sequencing technologies. PMID:27226047

  18. Primer Part 1-The building blocks of epilepsy genetics.

    PubMed

    Helbig, Ingo; Heinzen, Erin L; Mefford, Heather C

    2016-06-01

    This is the first of a two-part primer on the genetics of the epilepsies within the Genetic Literacy Series of the Genetics Commission of the International League Against Epilepsy. In Part 1, we cover the foundations of epilepsy genetics including genetic epidemiology and the range of genetic variants that can affect the risk for developing epilepsy. We discuss various epidemiologic study designs that have been applied to the genetics of the epilepsies including population studies, which provide compelling evidence for a strong genetic contribution in many epilepsies. We discuss genetic risk factors varying in size, frequency, inheritance pattern, effect size, and phenotypic specificity, and provide examples of how genetic risk factors within the various categories increase the risk for epilepsy. We end by highlighting trends in epilepsy genetics including the increasing use of massive parallel sequencing technologies.

  19. Genetic Risk Factors in Recurrent Venous Thromboembolism: A Multilocus, Population-Based, Prospective Approach

    PubMed Central

    Zee, Robert YL; Bubes, Vadim; Shrivastava, Sanjay; Ridker, Paul M; Glynn, Robert J

    2009-01-01

    Background Recurrent venous thromboembolism (VTE) is a common, complex disorder; however, genetic factors have been suggested to play a role in the disease development. We therefore conducted a multi-locus genetic study examining the potential associations of candidate gene variants in inflammation, thrombosis, coagulation, and lipid metabolism pathways, individually or interactively, with risk of recurrent VTE. Methods Using DNA samples collected at baseline in the Prevention of Recurrent Venous Thromboembolism trial (PREVENT), we genotyped 86 candidate genes polymorphisms among 43 individuals who subsequently developed recurrent VTE and among 396 individuals who remained free of recurrent event over a mean follow-up period of 2.1 years to prospectively determine whether these gene polymorphisms contribute to the risk of recurrent VTE. Results Using a single-marker ‘uncorrected’ analysis, CCR5 A(-2459)G [rs1799864], MMP3 5A(-1171)6A [rs3025058] and PON1 gln192arg [rs662] gene variants were associated with increased risk, and CETP C(-629)A [rs1800775] gene variant with reduced risk of recurrent VTE, respectively. Furthermore, potentially important gene-gene-interactions were detected by the Monte Carlo Markov chain Logic Regression method. Conclusions Although the present findings are hypothesis-generating and require confirmation in an independent investigation, our study provides a practical example of detecting epistasis in common, complex diseases. PMID:19263529

  20. Performance of genetic risk factors in prediction of trichloroethylene induced hypersensitivity syndrome

    PubMed Central

    Dai, Yufei; Chen, Ying; Huang, Hanlin; Zhou, Wei; Niu, Yong; Zhang, Mingrong; Bin, Ping; Dong, Haiyan; Jia, Qiang; Huang, Jianxun; Yi, Juan; Liao, Qijun; Li, Haishan; Teng, Yanxia; Zang, Dan; Zhai, Qingfeng; Duan, Huawei; Shen, Juan; He, Jiaxi; Meng, Tao; Sha, Yan; Shen, Meili; Ye, Meng; Jia, Xiaowei; Xiang, Yingping; Huang, Huiping; Wu, Qifeng; Shi, Mingming; Huang, Xianqing; Yang, Huanming; Luo, Longhai; Li, Sai; Li, Lin; Zhao, Jinyang; Li, Laiyu; Wang, Jun; Zheng, Yuxin

    2015-01-01

    Trichloroethylene induced hypersensitivity syndrome is dose-independent and potentially life threatening disease, which has become one of the serious occupational health issues and requires intensive treatment. To discover the genetic risk factors and evaluate the performance of risk prediction model for the disease, we conducted genomewide association study and replication study with total of 174 cases and 1761 trichloroethylene-tolerant controls. Fifty seven SNPs that exceeded the threshold for genome-wide significance (P < 5 × 10−8) were screened to relate with the disease, among which two independent SNPs were identified, that is rs2857281 at MICA (odds ratio, 11.92; Pmeta = 1.33 × 10−37) and rs2523557 between HLA-B and MICA (odds ratio, 7.33; Pmeta = 8.79 × 10−35). The genetic risk score with these two SNPs explains at least 20.9% of the disease variance and up to 32.5-fold variation in inter-individual risk. Combining of two SNPs as predictors for the disease would have accuracy of 80.73%, the area under receiver operator characteristic curves (AUC) scores was 0.82 with sensitivity of 74% and specificity of 85%, which was considered to have excellent discrimination for the disease, and could be considered for translational application for screening employees before exposure. PMID:26190474

  1. Risks connected with the use of conventional and genetically engineered vaccines.

    PubMed

    Kimman, T G

    1992-01-01

    A review is given of real and potential risks connected with the use of conventional and genetically engineered live and dead vaccines. Special attention is given to live carrier vaccines expressing one or more heterologous genes of other microorganisms. Because most carrier vaccines are still in an experimental phase, there is only limited experience with the risks of carrier vaccines. There are three potential risks of live carrier vaccines which will be discussed: 1. Changes in cell, tissue, of host tropism, and virulence of the carrier through the incorporation of foreign genes. 2. Exchange of genetic information with other vaccine or wild-type strains of the carrier organism. 3. Spread in the environment. Only limited experimental data are available on changes in biological behaviour of microorganisms through the incorporation of foreign genes. For example, there are indications that vaccinia virus carrying the attachment protein G of respiratory syncytial virus (RSV) replicates better in lungs of mice than vaccinia virus carrying other genes of RSV. Poxviruses carry genes that probably determine their replication in different hosts. Exchange of such host tropism genes might alter their host spectrum. Recombination between herpesvirus vaccine or wild-type strains may lead to the appearance of virulent strains with of without heterologous genes. Before carrier vaccines are applied, these risks must be thoroughly evaluated case-by-case. Potential methods for the design of safe carrier vaccines are discussed. PMID:1413441

  2. COGENT (COlorectal cancer GENeTics): an international consortium to study the role of polymorphic variation on the risk of colorectal cancer

    PubMed Central

    Tomlinson, I P M; Dunlop, M; Campbell, H; Zanke, B; Gallinger, S; Hudson, T; Koessler, T; Pharoah, P D; Niittymäkix, I; Tuupanenx, S; Aaltonen, L A; Hemminki, K; Lindblom, A; Försti, A; Sieber, O; Lipton, L; van Wezel, T; Morreau, H; Wijnen, J T; Devilee, P; Matsuda, K; Nakamura, Y; Castellví-Bel, S; Ruiz-Ponte, C; Castells, A; Carracedo, A; Ho, J W C; Sham, P; Hofstra, R M W; Vodicka, P; Brenner, H; Hampe, J; Schafmayer, C; Tepel, J; Schreiber, S; Völzke, H; Lerch, M M; Schmidt, C A; Buch, S; Moreno, V; Villanueva, C M; Peterlongo, P; Radice, P; Echeverry, M M; Velez, A; Carvajal-Carmona, L; Scott, R; Penegar, S; Broderick, P; Tenesa, A; Houlston, R S

    2009-01-01

    It is now recognised that a part of the inherited risk of colorectal cancer (CRC) can be explained by the co-inheritance of low-penetrance genetic variants. The accumulated experience to date in identifying these variants has served to highlight difficulties in conducting statistically and methodologically rigorous studies and follow-up analyses. The COGENT (COlorectal cancer GENeTics) consortium includes 20 research groups in Europe, Australia, the Americas, China and Japan. The overarching goal of COGENT is to identify and characterise low-penetrance susceptibility variants for CRC through association-based analyses. In this study, we review the rationale for identifying low-penetrance variants for CRC and our proposed strategy for establishing COGENT. PMID:19920828

  3. Decoding the non-coding genome: elucidating genetic risk outside the coding genome

    PubMed Central

    Barr, C. L.; Misener, V. L.

    2016-01-01

    Current evidence emerging from genome-wide association studies indicates that the genetic underpinnings of complex traits are likely attributable to genetic variation that changes gene expression, rather than (or in combination with) variation that changes protein-coding sequences. This is particularly compelling with respect to psychiatric disorders, as genetic changes in regulatory regions may result in differential transcriptional responses to developmental cues and environmental/psychosocial stressors. Until recently, however, the link between transcriptional regulation and psychiatric genetic risk has been understudied. Multiple obstacles have contributed to the paucity of research in this area, including challenges in identifying the positions of remote (distal from the promoter) regulatory elements (e.g. enhancers) and their target genes and the under-representation of neural cell types and brain tissues in epigenome projects – the availability of high-quality brain tissues for epigenetic and transcriptome profiling, particularly for the adolescent and developing brain, has been limited. Further challenges have arisen in the prediction and testing of the functional impact of DNA variation with respect to multiple aspects of transcriptional control, including regulatory-element interaction (e.g. between enhancers and promoters), transcription factor binding and DNA methylation. Further, the brain has uncommon DNA-methylation marks with unique genomic distributions not found in other tissues – current evidence suggests the involvement of non-CG methylation and 5-hydroxymethylation in neurodevelopmental processes but much remains unknown. We review here knowledge gaps as well as both technological and resource obstacles that will need to be overcome in order to elucidate the involvement of brain-relevant gene-regulatory variants in genetic risk for psychiatric disorders. PMID:26515765

  4. Genetic principles and methods in high-risk studies of schizophrenia.

    PubMed

    Cloninger, C R

    1987-01-01

    Recent advances in genetic epidemiology present excellent opportunities for future high-risk studies of schizophrenia. Improved methods are now available for specifying the natural boundaries of the schizophrenia spectrum and evaluating the mode of inheritance of schizophrenia and its biosocial risk factors. Path-analytic techniques permit the derivation of multifactor indices of both biological and social antecedents of schizophrenia. Powerful advances have been made in segregation analysis of pedigree data and in the power of linkage tests with DNA markers to confirm the presence of putative major loci that influence susceptibility to complex phenotypes like schizophrenia. The yield of information from high-risk samples is greatly increased when both longitudinal and pedigree analyses are combined.

  5. Low utilization of prenatal and pre-implantation genetic diagnosis in Huntington disease - risk discounting in preventive genetics.

    PubMed

    Schulman, J D; Stern, H J

    2015-09-01

    Huntington disease (HD) is a late-onset, fatal neurodegenerative disorder caused by a (CAG) triplet repeat expansion in the Huntingtin gene that enlarges during male meiosis. In 1996 in this journal, one of us (J. D. S.) presented a methodology to perform pre-implantation genetic diagnosis in families at-risk for HD without revealing the genetic status of the at-risk parent. Despite the introduction of accurate prenatal and pre-implantation genetic testing which can prevent transmission of the abnormal HD gene in the family permanently, utilization of these options is extremely low. In this article, we examine the decision-making process regarding genetic testing in families with HD and discuss the possible reasons for the low uptake among this group.

  6. Genetic variant in SWI/SNF complexes influences hepatocellular carcinoma risk: a new clue for the contribution of chromatin remodeling in carcinogenesis.

    PubMed

    Zhong, Rong; Liu, Li; Tian, Yao; Wang, Ying; Tian, Jing; Zhu, Bei-bei; Chen, Wei; Qian, Jia-ming; Zou, Li; Xiao, Min; Shen, Na; Yang, Hong; Lou, Jiao; Qiu, Qian; Ke, Jun-tao; Lu, Xing-hua; Wang, Zhen-ling; Song, Wei; Zhang, Ti; Li, Hui; Wang, Li; Miao, Xiao-ping

    2014-02-21

    Chromatin remodeling has been newly established as an important cancer genome characterization and recent exome and whole-genome sequencing studies of hepatocellular carcinoma (HCC) showed that recurrent inactivating mutations in SWI/SNF subunits involved in the molecular basis of hepatocarcinogenesis. To test the hypothesis that genetic variants in the key subunits of SWI/SNF complexes may contribute to HCC susceptibility, we systematically assessed associations of genetic variants in SWI/SNF complexes with HCC risk using a two-staged case-control study in Chinese population. A set of 24 single nucleotide polymorphisms (SNPs) in SWI/SNF complexes were examined in stage 1 with 502 HCC patients and 487 controls and three promising SNPs (SMARCA4 rs11879293, rs2072382 and SMARCB1 rs2267032) were further genotyped in stage 2 comprising 501 cases and 545 controls for validation. SMARCA4 rs11879293 presented consistently significant associations with the risk of HCC at both stages, with an OR of 0.73 (95% CI: 0.62-0.87) using additive model in combined analysis. Moreover, the decreased risk of HCC associated with SMARCA4 rs11879293 AG/AA was more evident among HBsAg positive individuals (OR = 0.47, 95% CI: 0.27-0.80) in combined analysis. The study highlighted the potential role of the SWI/SNF complexes in conferring susceptibility to HCC, especially modified HCC risk by HBV infection.

  7. A Hybrid Design for Studying Genetic Influences on Risk of Diseases with Onset Early in Life

    PubMed Central

    Weinberg, C. R.; Umbach, D. M.

    2005-01-01

    Studies of genetic contributions to risk can be family-based, such as the case-parents design, or population-based, such as the case-control design. Both provide powerful inference regarding associations between genetic variants and risks, but both have limitations. The case-control design requires identifying and recruiting appropriate controls, but it has the advantage that nongenetic risk factors like exposures can be assessed. For a condition with an onset early in life, such as a birth defect, one should also genotype the mothers of cases and the mothers of controls to avoid potential confounding due to maternally mediated genetic effects acting on the fetus during gestation. The case-parents approach is less vulnerable than the case-mother/control-mother approach to biases due to population structure and self-selection. The case-parents approach also allows access to epigenetic phenomena like imprinting, but it cannot evaluate the role of nongenetic cofactors like exposures. We propose a hybrid design based on augmenting a set of affected individuals and their parents with a set of unaffected, unrelated individuals and their parents. The affected individuals and their parents are all genotyped, whereas only the parents of unaffected individuals are genotyped, although exposures are ascertained for both affected and unaffected offspring. The proposed hybrid design, through log-linear, likelihood-based analysis, allows estimation of the relative risk parameters, can provide more power than either the case-parents approach or the case-mother/control-mother approach, permits straightforward likelihood-ratio tests for bias due to mating asymmetry or population stratification, and admits valid alternative analyses when mating is asymmetric or when population stratification is detected. PMID:16175508

  8. Regulators of genetic risk of breast cancer identified by integrative network analysis.

    PubMed

    Castro, Mauro A A; de Santiago, Ines; Campbell, Thomas M; Vaughn, Courtney; Hickey, Theresa E; Ross, Edith; Tilley, Wayne D; Markowetz, Florian; Ponder, Bruce A J; Meyer, Kerstin B

    2016-01-01

    Genetic risk for breast cancer is conferred by a combination of multiple variants of small effect. To better understand how risk loci might combine, we examined whether risk-associated genes share regulatory mechanisms. We created a breast cancer gene regulatory network comprising transcription factors and groups of putative target genes (regulons) and asked whether specific regulons are enriched for genes associated with risk loci via expression quantitative trait loci (eQTLs). We identified 36 overlapping regulons that were enriched for risk loci and formed a distinct cluster within the network, suggesting shared biology. The risk transcription factors driving these regulons are frequently mutated in cancer and lie in two opposing subgroups, which relate to estrogen receptor (ER)(+) luminal A or luminal B and ER(-) basal-like cancers and to different luminal epithelial cell populations in the adult mammary gland. Our network approach provides a foundation for determining the regulatory circuits governing breast cancer, to identify targets for intervention, and is transferable to other disease settings.

  9. Comprehensive genetic assessment of the ESR1 locus identifies a risk region for endometrial cancer

    PubMed Central

    O’Mara, Tracy A; Glubb, Dylan M; Painter, Jodie N; Cheng, Timothy; Dennis, Joe; Attia, John; Holliday, Elizabeth G; McEvoy, Mark; Scott, Rodney J; Ashton, Katie; Proietto, Tony; Otton, Geoffrey; Shah, Mitul; Ahmed, Shahana; Healey, Catherine S; Gorman, Maggie; Martin, Lynn; Hodgson, Shirley; Fasching, Peter A; Hein, Alexander; Beckmann, Matthias W; Ekici, Arif B; Hall, Per; Czene, Kamila; Darabi, Hatef; Li, Jingmei; Dürst, Matthias; Runnebaum, Ingo; Hillemanns, Peter; Dörk, Thilo; Lambrechts, Diether; Depreeuw, Jeroen; Annibali, Daniela; Amant, Frederic; Zhao, Hui; Goode, Ellen L; Dowdy, Sean C; Fridley, Brooke L; Winham, Stacey J; Salvesen, Helga B; Njølstad, Tormund S; Trovik, Jone; Werner, Henrica MJ; Tham, Emma; Liu, Tao; Mints, Miriam; Bolla, Manjeet K; Michailidou, Kyriaki; Tyrer, Jonathan P; Wang, Qin; Hopper, John L; Peto, Julian; Swerdlow, Anthony J; Burwinkel, Barbara; Brenner, Hermann; Meindl, Alfons; Brauch, Hiltrud; Lindblom, Annika; Chang-Claude, Jenny; Couch, Fergus J; Giles, Graham G; Kristensen, Vessela N; Cox, Angela; Pharoah, Paul D P; Dunning, Alison M; Tomlinson, Ian; Easton, Douglas F; Thompson, Deborah J; Spurdle, Amanda B

    2015-01-01

    Excessive exposure to estrogen is a well-established risk factor for endometrial cancer (EC), particularly for cancers of endometrioid histology. The physiological function of estrogen is primarily mediated by estrogen receptor alpha, encoded by ESR1. Consequently, several studies have investigated whether variation at the ESR1 locus is associated with risk of EC, with conflicting results. We performed comprehensive fine-mapping analyses of 3,633 genotyped and imputed single nucleotide polymorphisms (SNPs) in 6,607 EC cases and 37,925 controls. There was evidence of an EC risk signal located at a potential alternative promoter of the ESR1 gene (lead SNP rs79575945, P = 1.86 × 10−5), which was stronger for cancers of endometrioid subtype (P = 3.76 × 10−6). Bioinformatic analysis suggests that this risk signal is in a functionally important region targeting ESR1, and eQTL analysis found that rs79575945 was associated with expression of SYNE1, a neighbouring gene. In summary, we have identified a single EC risk signal located at ESR1, at study-wide significance. Given SNPs located at this locus have been associated with risk for breast cancer, also a hormonally driven cancer, this study adds weight to the rationale for performing informed candidate fine-scale genetic studies across cancer types. PMID:26330482

  10. Comprehensive genetic assessment of the ESR1 locus identifies a risk region for endometrial cancer.

    PubMed

    O'Mara, Tracy A; Glubb, Dylan M; Painter, Jodie N; Cheng, Timothy; Dennis, Joe; Attia, John; Holliday, Elizabeth G; McEvoy, Mark; Scott, Rodney J; Ashton, Katie; Proietto, Tony; Otton, Geoffrey; Shah, Mitul; Ahmed, Shahana; Healey, Catherine S; Gorman, Maggie; Martin, Lynn; Hodgson, Shirley; Fasching, Peter A; Hein, Alexander; Beckmann, Matthias W; Ekici, Arif B; Hall, Per; Czene, Kamila; Darabi, Hatef; Li, Jingmei; Dürst, Matthias; Runnebaum, Ingo; Hillemanns, Peter; Dörk, Thilo; Lambrechts, Diether; Depreeuw, Jeroen; Annibali, Daniela; Amant, Frederic; Zhao, Hui; Goode, Ellen L; Dowdy, Sean C; Fridley, Brooke L; Winham, Stacey J; Salvesen, Helga B; Njølstad, Tormund S; Trovik, Jone; Werner, Henrica M J; Tham, Emma; Liu, Tao; Mints, Miriam; Bolla, Manjeet K; Michailidou, Kyriaki; Tyrer, Jonathan P; Wang, Qin; Hopper, John L; Peto, Julian; Swerdlow, Anthony J; Burwinkel, Barbara; Brenner, Hermann; Meindl, Alfons; Brauch, Hiltrud; Lindblom, Annika; Chang-Claude, Jenny; Couch, Fergus J; Giles, Graham G; Kristensen, Vessela N; Cox, Angela; Pharoah, Paul D P; Dunning, Alison M; Tomlinson, Ian; Easton, Douglas F; Thompson, Deborah J; Spurdle, Amanda B

    2015-10-01

    Excessive exposure to estrogen is a well-established risk factor for endometrial cancer (EC), particularly for cancers of endometrioid histology. The physiological function of estrogen is primarily mediated by estrogen receptor alpha, encoded by ESR1. Consequently, several studies have investigated whether variation at the ESR1 locus is associated with risk of EC, with conflicting results. We performed comprehensive fine-mapping analyses of 3633 genotyped and imputed single nucleotide polymorphisms (SNPs) in 6607 EC cases and 37 925 controls. There was evidence of an EC risk signal located at a potential alternative promoter of the ESR1 gene (lead SNP rs79575945, P=1.86×10(-5)), which was stronger for cancers of endometrioid subtype (P=3.76×10(-6)). Bioinformatic analysis suggests that this risk signal is in a functionally important region targeting ESR1, and eQTL analysis found that rs79575945 was associated with expression of SYNE1, a neighbouring gene. In summary, we have identified a single EC risk signal located at ESR1, at study-wide significance. Given SNPs located at this locus have been associated with risk for breast cancer, also a hormonally driven cancer, this study adds weight to the rationale for performing informed candidate fine-scale genetic studies across cancer types. PMID:26330482

  11. Meta-analysis of interaction between dietary magnesium intake and genetic risk variants on diabetes phenotypes in the charge consortium

    Technology Transfer Automated Retrieval System (TEKTRAN)

    Little is known about whether genetic variation modifies the effect of magnesium (Mg) intake on two important diabetes risk factors: fasting glucose (FG) and insulin (FI). We examined interactions between dietary Mg and genetic variants associated with glucose (16 SNPs), insulin (2 SNPs), or Mg home...

  12. Belief and disbelief in the existence of genetic risk factors for suicide: cross-cultural comparisons.

    PubMed

    Voracek, Martin

    2007-12-01

    There is evidence for widespread disbelief in the genetics of suicide, despite recent research progress in this area and convergent evidence supporting a role for genetic factors. This study analyzed the beliefs held in 8 samples (total N = 1224) of various types (psychology, medical, and various undergraduates, psychology graduates, and the general population) from 6 countries located on 3 continents (Austria, Canada, Malaysia, Romania, United Kingdom, and the USA). Endorsement rates for the existence of genetic risk factors for suicide ranged from 26% and 30% (Austrian psychology undergraduates and general population) to around 50% (psychology undergraduates in the USA and United Kingdom). In the 8 samples, respondents' sex, age, religiosity, political orientation, and other demographic variables were, for the most part, unrelated, but overall knowledge about suicide throughout was related positively to endorsement rates. Consistent with previous research, across a considerable variety of sample types and cultural settings there was no evidence for a clear majority believing in genetic bases for suicide. PMID:18361135

  13. Air pollution and diabetes association: Modification by type 2 diabetes genetic risk score.

    PubMed

    Eze, Ikenna C; Imboden, Medea; Kumar, Ashish; von Eckardstein, Arnold; Stolz, Daiana; Gerbase, Margaret W; Künzli, Nino; Pons, Marco; Kronenberg, Florian; Schindler, Christian; Probst-Hensch, Nicole

    2016-09-01

    Exposure to ambient air pollution (AP) exposure has been linked to type 2 diabetes (T2D) risk. Evidence on the impact of T2D genetic variants on AP susceptibility is lacking. Compared to single variants, joint genetic variants contribute substantially to disease risk. We investigated the modification of AP and diabetes association by a genetic risk score (GRS) covering 63 T2D genes in 1524 first follow-up participants of the Swiss cohort study on air pollution and lung and heart diseases in adults. Genome-wide data and covariates were available from a nested asthma case-control study design. AP was estimated as 10-year mean residential particulate matter <10μm (PM10). We computed count-GRS and weighted-GRS, and applied PM10 interaction terms in mixed logistic regressions, on odds of diabetes. Analyses were stratified by pathways of diabetes pathology and by asthma status. Diabetes prevalence was 4.6% and mean exposure to PM10 was 22μg/m(3). Odds of diabetes increased by 8% (95% confidence interval: 2, 14%) per T2D risk allele and by 35% (-8, 97%) per 10μg/m(3) exposure to PM10. We observed a positive interaction between PM10 and count-GRS on diabetes [ORinteraction=1.10 (1.01, 1.20)], associations being strongest among participants at the highest quartile of count-GRS [OR: 1.97 (1.00, 3.87)]. Stronger interactions were observed with variants of the GRS involved in insulin resistance [(ORinteraction=1.22 (1.00, 1.50)] than with variants related to beta-cell function. Interactions with count-GRS were stronger among asthma cases. We observed similar results with weighted-GRS. Five single variants near GRB14, UBE2E2, PTPRD, VPS26A and KCNQ1 showed nominally significant interactions with PM10 (P<0.05). Our results suggest that genetic risk for T2D may modify susceptibility to air pollution through alterations in insulin sensitivity. These results need confirmation in diabetes cohort consortia.

  14. Air pollution and diabetes association: Modification by type 2 diabetes genetic risk score.

    PubMed

    Eze, Ikenna C; Imboden, Medea; Kumar, Ashish; von Eckardstein, Arnold; Stolz, Daiana; Gerbase, Margaret W; Künzli, Nino; Pons, Marco; Kronenberg, Florian; Schindler, Christian; Probst-Hensch, Nicole

    2016-09-01

    Exposure to ambient air pollution (AP) exposure has been linked to type 2 diabetes (T2D) risk. Evidence on the impact of T2D genetic variants on AP susceptibility is lacking. Compared to single variants, joint genetic variants contribute substantially to disease risk. We investigated the modification of AP and diabetes association by a genetic risk score (GRS) covering 63 T2D genes in 1524 first follow-up participants of the Swiss cohort study on air pollution and lung and heart diseases in adults. Genome-wide data and covariates were available from a nested asthma case-control study design. AP was estimated as 10-year mean residential particulate matter <10μm (PM10). We computed count-GRS and weighted-GRS, and applied PM10 interaction terms in mixed logistic regressions, on odds of diabetes. Analyses were stratified by pathways of diabetes pathology and by asthma status. Diabetes prevalence was 4.6% and mean exposure to PM10 was 22μg/m(3). Odds of diabetes increased by 8% (95% confidence interval: 2, 14%) per T2D risk allele and by 35% (-8, 97%) per 10μg/m(3) exposure to PM10. We observed a positive interaction between PM10 and count-GRS on diabetes [ORinteraction=1.10 (1.01, 1.20)], associations being strongest among participants at the highest quartile of count-GRS [OR: 1.97 (1.00, 3.87)]. Stronger interactions were observed with variants of the GRS involved in insulin resistance [(ORinteraction=1.22 (1.00, 1.50)] than with variants related to beta-cell function. Interactions with count-GRS were stronger among asthma cases. We observed similar results with weighted-GRS. Five single variants near GRB14, UBE2E2, PTPRD, VPS26A and KCNQ1 showed nominally significant interactions with PM10 (P<0.05). Our results suggest that genetic risk for T2D may modify susceptibility to air pollution through alterations in insulin sensitivity. These results need confirmation in diabetes cohort consortia. PMID:27281273

  15. TRPM8 genetic variations associated with COPD risk in the Chinese Han population

    PubMed Central

    Xiong, Mingmei; Wang, Jian; Guo, Meihua; Zhou, Qipeng; Lu, Wenju

    2016-01-01

    TRPM8 plays a key role in COPD. The development of pulmonary hypertension (PH) in COPD adversely affects survival and exercise capacity. Thus, the aim of this study was to evaluate the possible association between single nucleotide polymorphisms (SNPs) in TRPM8 and COPD or PH in COPD among the Chinese Han population. A total of 513 COPD patients and 506 controls were enrolled in the study. Six tag SNPs (tSNPs) were genotyped. The relationship between COPD or PH in COPD and the six tSNPs was evaluated using the χ2 test and genetic model analysis. In the rs9789398 polymorphism, the T/C genotype was associated with an increased risk for COPD (P=0.005). Under the assumption of models of inheritance, there was an association between the rs9789398 polymorphism and COPD. In the rs9789675 polymorphism, the G/A genotype was associated with an increased risk for COPD (P=0.021). Furthermore, by the χ2 test, we found that the minor allele “A” of rs9789675 (odds ratio [OR] =0.63, 95% confidence interval [CI], 0.42–0.97, P=0.034) and the minor allele “C” of rs9789398 (OR =1.59, 95% CI, 1.03–2.44, P=0.034) were associated with a decreased risk of PH in COPD in allele models. In genetic models, the genotypes “GA” and “AA” of rs9789675 were associated with a decreased risk of PH in COPD. The genotypes “TC” and “CC” of rs9789398 were associated with a decreased risk of PH in COPD. Moreover, “CG” of rs1004478 was significantly associated with a decreased risk of PH in COPD. There was a significant association between the five SNPs (rs2362290, rs9789675, rs9789398, rs1003540, and rs104478) in the TRPM8 gene and the risk of PH in COPD. Our findings indicated that rs9789398 in the TRPM8 gene was significantly associated with the risk of COPD in the Chinese Han population. Moreover, rs9789675, rs9789398, and rs1004478 were significantly associated with the risk of PH in COPD. This study provides a novel insight into COPD and PH in the development of COPD

  16. Fine-mapping of breast cancer susceptibility loci characterizes genetic risk in African Americans

    PubMed Central

    Chen, Fang; Chen, Gary K.; Millikan, Robert C.; John, Esther M.; Ambrosone, Christine B.; Bernstein, Leslie; Zheng, Wei; Hu, Jennifer J.; Ziegler, Regina G.; Deming, Sandra L.; Bandera, Elisa V.; Nyante, Sarah; Palmer, Julie R.; Rebbeck, Timothy R.; Ingles, Sue A.; Press, Michael F.; Rodriguez-Gil, Jorge L.; Chanock, Stephen J.; Le Marchand, Loïc; Kolonel, Laurence N.; Henderson, Brian E.; Stram, Daniel O.; Haiman, Christopher A.

    2011-01-01

    Genome-wide association studies (GWAS) have revealed 19 common genetic variants that are associated with breast cancer risk. Testing of the index signals found through GWAS and fine-mapping of each locus in diverse populations will be necessary for characterizing the role of these risk regions in contributing to inherited susceptibility. In this large study of breast cancer in African-American women (3016 cases and 2745 controls), we tested the 19 known risk variants identified by GWAS and replicated associations (P < 0.05) with only 4 variants. Through fine-mapping, we identified markers in four regions that better capture the association with breast cancer risk in African Americans as defined by the index signal (2q35, 5q11, 10q26 and 19p13). We also identified statistically significant associations with markers in four separate regions (8q24, 10q22, 11q13 and 16q12) that are independent of the index signals and may represent putative novel risk variants. In aggregate, the more informative markers found in the study enhance the association of these risk regions with breast cancer in African Americans [per allele odds ratio (OR) = 1.18, P = 2.8 × 10−24 versus OR = 1.04, P = 6.1 × 10−5]. In this detailed analysis of the known breast cancer risk loci, we have validated and improved upon markers of risk that better characterize their association with breast cancer in women of African ancestry. PMID:21852243

  17. Characterizing genetic risk at known prostate cancer susceptibility loci in African Americans.

    PubMed

    Haiman, Christopher A; Chen, Gary K; Blot, William J; Strom, Sara S; Berndt, Sonja I; Kittles, Rick A; Rybicki, Benjamin A; Isaacs, William B; Ingles, Sue A; Stanford, Janet L; Diver, W Ryan; Witte, John S; Chanock, Stephen J; Kolb, Suzanne; Signorello, Lisa B; Yamamura, Yuko; Neslund-Dudas, Christine; Thun, Michael J; Murphy, Adam; Casey, Graham; Sheng, Xin; Wan, Peggy; Pooler, Loreall C; Monroe, Kristine R; Waters, Kevin M; Le Marchand, Loic; Kolonel, Laurence N; Stram, Daniel O; Henderson, Brian E

    2011-05-01

    GWAS of prostate cancer have been remarkably successful in revealing common genetic variants and novel biological pathways that are linked with its etiology. A more complete understanding of inherited susceptibility to prostate cancer in the general population will come from continuing such discovery efforts and from testing known risk alleles in diverse racial and ethnic groups. In this large study of prostate cancer in African American men (3,425 prostate cancer cases and 3,290 controls), we tested 49 risk variants located in 28 genomic regions identified through GWAS in men of European and Asian descent, and we replicated associations (at p≤0.05) with roughly half of these markers. Through fine-mapping, we identified nearby markers in many regions that better define associations in African Americans. At 8q24, we found 9 variants (p≤6×10(-4)) that best capture risk of prostate cancer in African Americans, many of which are more common in men of African than European descent. The markers found to be associated with risk at each locus improved risk modeling in African Americans (per allele OR = 1.17) over the alleles reported in the original GWAS (OR = 1.08). In summary, in this detailed analysis of the prostate cancer risk loci reported from GWAS, we have validated and improved upon markers of risk in some regions that better define the association with prostate cancer in African Americans. Our findings with variants at 8q24 also reinforce the importance of this region as a major risk locus for prostate cancer in men of African ancestry.

  18. An Unusual BRCA Mutation Distribution in a High Risk Cancer Genetics Clinic

    PubMed Central

    Nelson-Moseke, Anna C.; Jeter, Joanne M.; Cui, Haiyan; Roe, Denise J.; Chambers, Setsuko K.; Laukaitis, Christina M.

    2012-01-01

    The Database of Individuals at High Risk for Breast, Ovarian, or Other Hereditary Cancers at the Arizona Cancer Center in Tucson, Arizona, assesses cancer risk factors and outcomes in patients with a family history of cancer or a known genetic mutation. We analyzed the subset of clinic probands who carry deleterious BRCA gene mutations to identify factors that could explain why mutations in BRCA2 out number those in BRCA1. Medical, family, social, ethnic and genetic mutation histories were collected from consenting patients’ electronic medical records. Differences between BRCA1 and BRCA2 probands from this database were analyzed for statistical significance and compared to published analyses.. A significantly higher proportion of our clinic probands carry mutations in BRCA2 than BRCA1, compared with previous reports of mutation prevalence. This also holds true for the Hispanic sub-group. Probands with BRCA2 mutations were significantly more likely than their BRCA1 counterparts to present to the high risk clinic without adiagnosis of cancer. Other differences between the groups were not significant. Six previously unreported BRCA2 mutations appear in our clinic population. The increased proportion of probands carrying deleterious BRCA2 mutations is likely multifactorial, but may reflect aspects of Southern Arizona’s unique ethnic heritage. PMID:23179792

  19. Workshop report: evaluation of genetic and epigenetic risks associated with assisted reproductive technologies and infertility.

    PubMed

    Weksberg, Rosanna; Shuman, Cheryl; Wilkins-Haug, Louise; Mann, Mellissa; Croughan, Mary; Stewart, Donna; Rakowsky, Catherine; Leader, Arthur; Hall, Judith; Friedman, J M; Simpson, Joe Leigh; Holmes, Lewis; Infante-Rivard, Claire

    2007-07-01

    In January 2005, the Assisted Reproductive Technologies (ART) Workshop: Evaluation of Genetic and Epigenetic Risks Associated with Assisted Reproductive Technologies and Infertility was convened to evaluate current data on genetic and epigenetic risks to offspring conceived after a period of infertility and/or via ARTs. Formal presentations and workshop breakout groups reviewed the information from a broad range of disciplines and discussed issues regarding study design, molecular approaches, animal model systems, clinical outcomes, and ethical, legal, and psychosocial issues. The key recommendations of the workshop are that: [1] ART research and education should flow from clinical and basic science studies of the fundamental biology of early mammalian embryonic development, with a focus on how infertility and/or ART might disrupt such processes; [2] such research should include the emerging area of epigenetics and its potential role in reproductive health outcomes; [3] methods for the standardization of data collection and for handling and analysis should be employed, including precise definitions of obstetric and perinatal terminology; [4] much greater awareness and ongoing evaluation of the psychosocial impact of ART and ART research on women, their partners, and their offspring are required; and [5] effective methods of knowledge transfer need to be developed and delivered to healthcare providers and to the general public regarding reproductive planning, infertility, and ART, including the potential risks associated with each.

  20. A risk-based classification scheme for genetically modified foods. I: Conceptual development.

    PubMed

    Chao, Eunice; Krewski, Daniel

    2008-12-01

    The predominant paradigm for the premarket assessment of genetically modified (GM) foods reflects heightened public concern by focusing on foods modified by recombinant deoxyribonucleic acid (rDNA) techniques, while foods modified by other methods of genetic modification are generally not assessed for safety. To determine whether a GM product requires less or more regulatory oversight and testing, we developed and evaluated a risk-based classification scheme (RBCS) for crop-derived GM foods. The results of this research are presented in three papers. This paper describes the conceptual development of the proposed RBCS that focuses on two categories of adverse health effects: (1) toxic and antinutritional effects, and (2) allergenic effects. The factors that may affect the level of potential health risks of GM foods are identified. For each factor identified, criteria for differentiating health risk potential are developed. The extent to which a GM food satisfies applicable criteria for each factor is rated separately. A concern level for each category of health effects is then determined by aggregating the ratings for the factors using predetermined aggregation rules. An overview of the proposed scheme is presented, as well as the application of the scheme to a hypothetical GM food.

  1. Genetic Variation in NFKBIE Is Associated With Increased Risk of Pneumococcal Meningitis in Children

    PubMed Central

    Lundbo, Lene F.; Harboe, Zitta Barrella; Clausen, Louise N.; Hollegaard, Mads V.; Sørensen, Henrik T.; Hougaard, David M.; Konradsen, Helle B.; Nørgaard, Mette; Benfield, Thomas

    2015-01-01

    Background Streptococcus pneumoniae and Neisseria meningitidis are frequent pathogens in life-threatening infections. Genetic variation in the immune system may predispose to these infections. Nuclear factor-κB is a key component of the TLR-pathway, controlled by inhibitors, encoded by the genes NFKBIA, NFKBIE and NFKBIZ. We aimed to replicate previous findings of genetic variation associated with invasive pneumococcal disease (IPD), and to assess whether similar associations could be found in invasive meningococcal disease (IMD). Methods Cases with IPD and IMD and controls were identified by linking Danish national registries. DNA was obtained from the Danish Neonatal Screening Biobank. The association between SNPs and susceptibility to IPD and IMD, mortality and pneumococcal serotypes was investigated. Results 372 children with pneumococcal meningitis, 907 with pneumococcal bacteremia and 1273 controls were included. We included 406 cases with meningococcal meningitis, 272 with meningococcal bacteremia, and 672 controls. The NFKBIE SNP was associated with increased risk of pneumococcal meningitis (aOR 1.68; 95% CI: 1.20–2.36), but not bacteremia (aOR 1.08; 95% CI: 0.86–1.35). The remaining SNPs were not associated with susceptibility to invasive disease. None of the SNPs were associated with risk of IMD or mortality. Conclusions A NFKBIE polymorphism was associated with increased risk of pneumococcal meningitis. PMID:26870821

  2. Empirical Bayes scan statistics for detecting clusters of disease risk variants in genetic studies.

    PubMed

    McCallum, Kenneth J; Ionita-Laza, Iuliana

    2015-12-01

    Recent developments of high-throughput genomic technologies offer an unprecedented detailed view of the genetic variation in various human populations, and promise to lead to significant progress in understanding the genetic basis of complex diseases. Despite this tremendous advance in data generation, it remains very challenging to analyze and interpret these data due to their sparse and high-dimensional nature. Here, we propose novel applications and new developments of empirical Bayes scan statistics to identify genomic regions significantly enriched with disease risk variants. We show that the proposed empirical Bayes methodology can be substantially more powerful than existing scan statistics methods especially so in the presence of many non-disease risk variants, and in situations when there is a mixture of risk and protective variants. Furthermore, the empirical Bayes approach has greater flexibility to accommodate covariates such as functional prediction scores and additional biomarkers. As proof-of-concept we apply the proposed methods to a whole-exome sequencing study for autism spectrum disorders and identify several promising candidate genes.

  3. Problems and solutions in the estimation of genetic risks from radiation and chemicals

    SciTech Connect

    Russell, W. L.

    1980-01-01

    Extensive investigations with mice on the effects of various physical and biological factors, such as dose rate, sex and cell stage, on radiation-induced mutation have provided an evaluation of the genetics hazards of radiation in man. The mutational results obtained in both sexes with progressive lowering of the radiation dose rate have permitted estimation of the mutation frequency expected under the low-level radiation conditions of most human exposure. Supplementing the studies on mutation frequency are investigations on the phenotypic effects of mutations in mice, particularly anatomical disorders of the skeleton, which allow an estimation of the degree of human handicap associated with the occurrence of parallel defects in man. Estimation of the genetic risk from chemical mutagens is much more difficult, and the research is much less advanced. Results on transmitted mutations in mice indicate a poor correlation with mutation induction in non-mammalian organisms.

  4. Genetic risks and environmental surveillance: epidemiological aspects of monitoring industrial populations for environmental mutagens

    SciTech Connect

    Buffler, P.A.; Aase, J.M.

    1982-04-01

    As industrial populations are exposed to new chemicals and other agents in their work environment, it becomes increasingly important to be able to ascertain any associated genetic risks. The characteristics of a desirable surveillance system for deleterious genetic effects are outlined and the existing or proposed surveillance systems for industrial populations are reviewed against these criteria. At present, monitoring for reproductive loss and infertility seems to be the technique best suited for surveillance of industrial populations. However, monitoring techniques based on these events do not directly assess mutagenicity. Since fetal death and infertility are strongly, but not exclusively, correlated with mutation, these methods can be considered as an early-warning system to indicate when and where more definitive studies are needed.

  5. Fine-Mapping of Common Genetic Variants Associated with Colorectal Tumor Risk Identified Potential Functional Variants.

    PubMed

    Du, Mengmeng; Jiao, Shuo; Bien, Stephanie A; Gala, Manish; Abecasis, Goncalo; Bezieau, Stephane; Brenner, Hermann; Butterbach, Katja; Caan, Bette J; Carlson, Christopher S; Casey, Graham; Chang-Claude, Jenny; Conti, David V; Curtis, Keith R; Duggan, David; Gallinger, Steven; Haile, Robert W; Harrison, Tabitha A; Hayes, Richard B; Hoffmeister, Michael; Hopper, John L; Hudson, Thomas J; Jenkins, Mark A; Küry, Sébastien; Le Marchand, Loic; Leal, Suzanne M; Newcomb, Polly A; Nickerson, Deborah A; Potter, John D; Schoen, Robert E; Schumacher, Fredrick R; Seminara, Daniela; Slattery, Martha L; Hsu, Li; Chan, Andrew T; White, Emily; Berndt, Sonja I; Peters, Ulrike

    2016-01-01

    Genome-wide association studies (GWAS) have identified many common single nucleotide polymorphisms (SNPs) associated with colorectal cancer risk. These SNPs may tag correlated variants with biological importance. Fine-mapping around GWAS loci can facilitate detection of functional candidates and additional independent risk variants. We analyzed 11,900 cases and 14,311 controls in the Genetics and Epidemiology of Colorectal Cancer Consortium and the Colon Cancer Family Registry. To fine-map genomic regions containing all known common risk variants, we imputed high-density genetic data from the 1000 Genomes Project. We tested single-variant associations with colorectal tumor risk for all variants spanning genomic regions 250-kb upstream or downstream of 31 GWAS-identified SNPs (index SNPs). We queried the University of California, Santa Cruz Genome Browser to examine evidence for biological function. Index SNPs did not show the strongest association signals with colorectal tumor risk in their respective genomic regions. Bioinformatics analysis of SNPs showing smaller P-values in each region revealed 21 functional candidates in 12 loci (5q31.1, 8q24, 11q13.4, 11q23, 12p13.32, 12q24.21, 14q22.2, 15q13, 18q21, 19q13.1, 20p12.3, and 20q13.33). We did not observe evidence of additional independent association signals in GWAS-identified regions. Our results support the utility of integrating data from comprehensive fine-mapping with expanding publicly available genomic databases to help clarify GWAS associations and identify functional candidates that warrant more onerous laboratory follow-up. Such efforts may aid the eventual discovery of disease-causing variant(s).

  6. CFH Variants Affect Structural and Functional Brain Changes and Genetic Risk of Alzheimer's Disease.

    PubMed

    Zhang, Deng-Feng; Li, Jin; Wu, Huan; Cui, Yue; Bi, Rui; Zhou, He-Jiang; Wang, Hui-Zhen; Zhang, Chen; Wang, Dong; Kong, Qing-Peng; Li, Tao; Fang, Yiru; Jiang, Tianzi; Yao, Yong-Gang

    2016-03-01

    The immune response is highly active in Alzheimer's disease (AD). Identification of genetic risk contributed by immune genes to AD may provide essential insight for the prognosis, diagnosis, and treatment of this neurodegenerative disease. In this study, we performed a genetic screening for AD-related top immune genes identified in Europeans in a Chinese cohort, followed by a multiple-stage study focusing on Complement Factor H (CFH) gene. Effects of the risk SNPs on AD-related neuroimaging endophenotypes were evaluated through magnetic resonance imaging scan, and the effects on AD cerebrospinal fluid biomarkers (CSF) and CFH expression changes were measured in aged and AD brain tissues and AD cellular models. Our results showed that the AD-associated top immune genes reported in Europeans (CR1, CD33, CLU, and TREML2) have weak effects in Chinese, whereas CFH showed strong effects. In particular, rs1061170 (P(meta)=5.0 × 10(-4)) and rs800292 (P(meta)=1.3 × 10(-5)) showed robust associations with AD, which were confirmed in multiple world-wide sample sets (4317 cases and 16 795 controls). Rs1061170 (P=2.5 × 10(-3)) and rs800292 (P=4.7 × 10(-4)) risk-allele carriers have an increased entorhinal thickness in their young age and a higher atrophy rate as the disease progresses. Rs800292 risk-allele carriers have higher CSF tau and Aβ levels and severe cognitive decline. CFH expression level, which was affected by the risk-alleles, was increased in AD brains and cellular models. These comprehensive analyses suggested that CFH is an important immune factor in AD and affects multiple pathological changes in early life and during disease progress.

  7. Genetic polymorphisms in obesity-related genes and endometrial cancer risk

    PubMed Central

    Chen, Xiaoli; Xiang, Yong-Bing; Long, Ji-Rong; Cai, Hui; Cai, Qiuyin; Cheng, Jiarong; Wen, Wanqing; Gao, Yu-Tang; Zheng, Wei; Shu, Xiao-Ou

    2011-01-01

    Background Obesity is associated with circulating levels of adiponectin and leptin and endometrial cancer risk. Little is known about whether single nucleotide polymorphisms (SNPs) in the genes that encode adiponectin (ADIPOQ), leptin (LEP), adiponectin receptor 1 (ADIPOR1), adiponectin receptor 2 (ADIPOR2), and leptin receptor (LEPR) are associated with endometrial cancer. Methods We selected 87 tagging SNPs to capture common genetic variants in these five genes. These SNPs were evaluated in 1,028 endometrial cancer cases and 1,932 community controls recruited from Chinese women. Logistic regression models were used to estimate odds ratios (ORs) and 95% confidence intervals (95% CIs). Results Three of the 10 SNPs evaluated in the ADIPOQ gene were significantly associated with reduced cancer risk. The OR for women homozygous for the minor allele (A/A) for rs3774262 was 0.68 (95% CI: 0.48-0.97) compared with women homozygous for the major allele (G/G). Similar results were found for SNPs rs1063539 and rs12629945 in ADIPOQ, which were in linkage disequilibrium with rs3774262. These associations became non-significant after Bonferroni correction was applied. Controls with the minor allele A at rs3774262 had lower weight, waist circumference, hip circumference, and BMI than controls with the major allele G (all P<0.05). Women homozygous for the minor allele (T/T) of rs2071045 in the LEP gene also had significantly lower risk (OR=0.70 (0.54-0.90)) than women homozygous for the major allele (C/C). No other SNPs in the LEP, ADIPOR1, ADIPOR2, or LEPR genes were found to be associated with cancer risk. Conclusions Although a chance finding cannot be ruled out, the consistency of findings for gene-endometrial cancer risk and gene-obesity measurements suggests that genetic polymorphisms in the ADIPOQ genes may play a role in endometrial cancer development. PMID:22038736

  8. Fine-Mapping of Common Genetic Variants Associated with Colorectal Tumor Risk Identified Potential Functional Variants.

    PubMed

    Du, Mengmeng; Jiao, Shuo; Bien, Stephanie A; Gala, Manish; Abecasis, Goncalo; Bezieau, Stephane; Brenner, Hermann; Butterbach, Katja; Caan, Bette J; Carlson, Christopher S; Casey, Graham; Chang-Claude, Jenny; Conti, David V; Curtis, Keith R; Duggan, David; Gallinger, Steven; Haile, Robert W; Harrison, Tabitha A; Hayes, Richard B; Hoffmeister, Michael; Hopper, John L; Hudson, Thomas J; Jenkins, Mark A; Küry, Sébastien; Le Marchand, Loic; Leal, Suzanne M; Newcomb, Polly A; Nickerson, Deborah A; Potter, John D; Schoen, Robert E; Schumacher, Fredrick R; Seminara, Daniela; Slattery, Martha L; Hsu, Li; Chan, Andrew T; White, Emily; Berndt, Sonja I; Peters, Ulrike

    2016-01-01

    Genome-wide association studies (GWAS) have identified many common single nucleotide polymorphisms (SNPs) associated with colorectal cancer risk. These SNPs may tag correlated variants with biological importance. Fine-mapping around GWAS loci can facilitate detection of functional candidates and additional independent risk variants. We analyzed 11,900 cases and 14,311 controls in the Genetics and Epidemiology of Colorectal Cancer Consortium and the Colon Cancer Family Registry. To fine-map genomic regions containing all known common risk variants, we imputed high-density genetic data from the 1000 Genomes Project. We tested single-variant associations with colorectal tumor risk for all variants spanning genomic regions 250-kb upstream or downstream of 31 GWAS-identified SNPs (index SNPs). We queried the University of California, Santa Cruz Genome Browser to examine evidence for biological function. Index SNPs did not show the strongest association signals with colorectal tumor risk in their respective genomic regions. Bioinformatics analysis of SNPs showing smaller P-values in each region revealed 21 functional candidates in 12 loci (5q31.1, 8q24, 11q13.4, 11q23, 12p13.32, 12q24.21, 14q22.2, 15q13, 18q21, 19q13.1, 20p12.3, and 20q13.33). We did not observe evidence of additional independent association signals in GWAS-identified regions. Our results support the utility of integrating data from comprehensive fine-mapping with expanding publicly available genomic databases to help clarify GWAS associations and identify functional candidates that warrant more onerous laboratory follow-up. Such efforts may aid the eventual discovery of disease-causing variant(s). PMID:27379672