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Sample records for linkage disequilibrium information

  1. Exploring linkage disequilibrium.

    PubMed

    Baird, Stuart J E

    2015-09-01

    Linkage disequilibrium (LD, association of allelic states across loci) is poorly understood by many evolutionary biologists, but as technology for multilocus sampling improves, we ignore LD at our peril. If we sample variation at 10 loci in an organism with 20 chromosomes, we can reasonably treat them as 10 'independent witnesses' of the evolutionary process. If instead, we sample variation at 1000 loci, many are bound to be close together on a chromosome. With only one or two crossovers per meiosis, associations between close neighbours decay so slowly that even LD created far in the past will not have dissipated, so we cannot treat the 1000 loci as independent witnesses (Barton ). This means that as marker density on genomes increases classic analyses assuming independent loci become mired in the problem of overconfidence: if 1000 independent witnesses are assumed, and that number should be much lower, any conclusion will be overconfident. This is of special concern because our literature suffers from a strong publication bias towards confident answers, even when they turn out to be wrong (Knowles ). In contrast, analyses that take into account associations across loci both control for overconfidence and can inform us about LD generating events far in the past, for example human/Neanderthal admixture (Fu et al. ). With increased marker density, biologists must increase their awareness of LD and, in this issue of Molecular Ecology Resources, Kemppainen et al. () make software available that can only help in this process: LDna allows patterns of LD in a data set to be explored using tools borrowed from network analysis. This has great potential, but realizing that potential requires understanding LD. PMID:26261040

  2. Genome Scan for Selection in Structured Layer Chicken Populations Exploiting Linkage Disequilibrium Information

    PubMed Central

    Gholami, Mahmood; Reimer, Christian; Erbe, Malena; Preisinger, Rudolf; Weigend, Annett; Weigend, Steffen; Servin, Bertrand; Simianer, Henner

    2015-01-01

    An increasing interest is being placed in the detection of genes, or genomic regions, that have been targeted by selection because identifying signatures of selection can lead to a better understanding of genotype-phenotype relationships. A common strategy for the detection of selection signatures is to compare samples from distinct populations and to search for genomic regions with outstanding genetic differentiation. The aim of this study was to detect selective signatures in layer chicken populations using a recently proposed approach, hapFLK, which exploits linkage disequilibrium information while accounting appropriately for the hierarchical structure of populations. We performed the analysis on 70 individuals from three commercial layer breeds (White Leghorn, White Rock and Rhode Island Red), genotyped for approximately 1 million SNPs. We found a total of 41 and 107 regions with outstanding differentiation or similarity using hapFLK and its single SNP counterpart FLK respectively. Annotation of selection signature regions revealed various genes and QTL corresponding to productions traits, for which layer breeds were selected. A number of the detected genes were associated with growth and carcass traits, including IGF-1R, AGRP and STAT5B. We also annotated an interesting gene associated with the dark brown feather color mutational phenotype in chickens (SOX10). We compared FST, FLK and hapFLK and demonstrated that exploiting linkage disequilibrium information and accounting for hierarchical population structure decreased the false detection rate. PMID:26151449

  3. Whole genome linkage disequilibrium maps in cattle

    Technology Transfer Automated Retrieval System (TEKTRAN)

    Bovine whole genome linkage disequilibrium maps were constructed for eight breeds of cattle. These data provide fundamental information concerning bovine genome organization which will allow the design of studies to associate genetic variation with economically important traits and also provides bac...

  4. Selecting a Maximally Informative Set of Single-Nucleotide Polymorphisms for Association Analyses Using Linkage Disequilibrium

    PubMed Central

    Carlson, Christopher S.; Eberle, Michael A.; Rieder, Mark J.; Yi, Qian; Kruglyak, Leonid; Nickerson, Deborah A.

    2004-01-01

    Common genetic polymorphisms may explain a portion of the heritable risk for common diseases. Within candidate genes, the number of common polymorphisms is finite, but direct assay of all existing common polymorphism is inefficient, because genotypes at many of these sites are strongly correlated. Thus, it is not necessary to assay all common variants if the patterns of allelic association between common variants can be described. We have developed an algorithm to select the maximally informative set of common single-nucleotide polymorphisms (tagSNPs) to assay in candidate-gene association studies, such that all known common polymorphisms either are directly assayed or exceed a threshold level of association with a tagSNP. The algorithm is based on the r2 linkage disequilibrium (LD) statistic, because r2 is directly related to statistical power to detect disease associations with unassayed sites. We show that, at a relatively stringent r2 threshold (r2>0.8), the LD-selected tagSNPs resolve >80% of all haplotypes across a set of 100 candidate genes, regardless of recombination, and tag specific haplotypes and clades of related haplotypes in nonrecombinant regions. Thus, if the patterns of common variation are described for a candidate gene, analysis of the tagSNP set can comprehensively interrogate for main effects from common functional variation. We demonstrate that, although common variation tends to be shared between populations, tagSNPs should be selected separately for populations with different ancestries. PMID:14681826

  5. Linkage Disequilibrium Mapping of Meat Quality QTL

    Technology Transfer Automated Retrieval System (TEKTRAN)

    Previous studies based on linkage analysis have identified broad areas in the bovine genome associated with meat quality. Linkage disequilibrium (LD) analyses have the potential to identify narrower regions and point towards candidate genes. Tenderness and marbling were chosen to be evaluated in a ...

  6. Positional Cloning by Linkage Disequilibrium

    PubMed Central

    Maniatis, Nikolas; Collins, Andrew; Gibson, Jane; Zhang, Weihua; Tapper, William; Morton, Newton E.

    2004-01-01

    Recently, metric linkage disequilibrium (LD) maps that assign an LD unit (LDU) location for each marker have been developed (Maniatis et al. 2002). Here we present a multiple pairwise method for positional cloning by LD within a composite likelihood framework and investigate the operating characteristics of maps in physical units (kb) and LDU for two bodies of data (Daly et al. 2001; Jeffreys et al. 2001) on which current ideas of blocks are based. False-negative indications of a disease locus (type II error) were examined by selecting one single-nucleotide polymorphism (SNP) at a time as causal and taking its allelic count (0, 1, or 2, for the three genotypes) as a pseudophenotype, Y. By use of regression and correlation, association between every pseudophenotype and the allelic count of each SNP locus (X) was based on an adaptation of the Malecot model, which includes a parameter for location of the putative gene. By expressing locations in kb or LDU, greater power for localization was observed when the LDU map was fitted. The efficiency of the kb map, relative to the LDU map, to describe LD varied from a maximum of 0.87 to a minimum of 0.36, with a mean of 0.62. False-positive indications of a disease locus (type I error) were examined by simulating an unlinked causal SNP and the allele count was used as a pseudophenotype. The type I error was in good agreement with Wald’s likelihood theorem for both metrics and all models that were tested. Unlike tests that select only the most significant marker, haplotype, or haploset, these methods are robust to large numbers of markers in a candidate region. Contrary to predictions from tagging SNPs that retain haplotype diversity, the sample with smaller size but greater SNP density gave less error. The locations of causal SNPs were estimated with the same precision in blocks and steps, suggesting that block definition may be less useful than anticipated for mapping a causal SNP. These results provide a guide to

  7. Linkage disequilibrium in Theobroma cacao L. populations

    Technology Transfer Automated Retrieval System (TEKTRAN)

    Although the potential of Linkage Disequilibrium (LD) mapping to associate markers to agronomic and horticultural traits has been already recognized in cacao, its real efficiency depends on the nature and structure of the LD in the genome of the populations under study. LD is dependent on several fa...

  8. Linkage disequilibrium patterns vary with chromosomal location: A case study from the von Willebrand factor region

    SciTech Connect

    Watkins, W.S.; Zenger, R.; O'Brien, E.; Jorde, L.B. ); Nyman, D. ); Eriksson, A.W. ); Renlund, M.

    1994-08-01

    Linkage disequilibrium analysis has been used as a tool for analyzing marker order and locating disease genes. Under appropriate circumstances, disequilibrium patterns reflect recombination events that have occurred throughput a population's history. As a result, disequilibrium mapping may be useful in genomic regions of <1 cM where the number of informative meioses needed to detect recombinant individuals within pedigrees is exceptionally high. Its utility for refining target areas for candidate disease genes before initiating chromosomal walks and cloning experiments will be enhanced as the relationship between linkage disequilibrium and physical distance is better understood. To address this issue, the authors have characterized linkage disequilibrium in a 144-kb region of the von Willebrand factor gene on chromosome 12. Sixty CEPH and 12 von Willebrand disease families were genotypes for five PCR-based markers, which include two microsatellite repeats and three single-base-pair substitutions. Linkage disequilibrium and physical distance between polymorphisms are highly correlated (r[sub m] = -.76; P<.05) within this region. None of the five markers showed significant disequilibrium with the von Willebrand disease phenotype. The linkage disequilibrium/physical distance relationship was also analyzed as a function of chromosomal location for this and eight previously characterized regions. This analysis revealed a general trend in which linkage disequilibrium dissipates more rapidly with physical distance in telomeric regions than in centromeric regions. This trend is consistent with higher recombination rates near telomeres. 52 refs., 3 figs., 4 tabs.

  9. Constructing Linkage Disequilibrium Map with Iterative Approach

    NASA Astrophysics Data System (ADS)

    Ao, S. I.

    2008-05-01

    With recent advance of the genotyping single nucleotide polymorphisms (SNPs) in mass scale of high density in a candidate region of the human genome, the linkage disequilibrium analysis can offer a much higher resolution of the biological samples than the traditional linkage maps. We have formulated this LD mapping problem as a constrained unidimensional scaling problem. Our method, which is directly based on the measurement of LD among SNPs, is non-parametric. Therefore it is different from LD maps derived from the given Malecot model. We have formulated with the quadratic programming approach for solving this constrained unidimensional scaling problem. Different from the classical metric unidimensional scaling problem, the constrained problem is not an NP-hard combinatorial problem. The optimal solution is determined by using the quadratic programming solver. Nevertheless, because of the large requirement for memory during the running time that may cause the out of memory problems, and the high computational time of the quadratic programming algorithm, the iterative algorithm has been developed for solving this LD constrained unidimensional scaling problem.

  10. How Population Growth Affects Linkage Disequilibrium

    PubMed Central

    Rogers, Alan R.

    2014-01-01

    The “LD curve” relates the linkage disequilibrium (LD) between pairs of nucleotide sites to the distance that separates them along the chromosome. The shape of this curve reflects natural selection, admixture between populations, and the history of population size. This article derives new results about the last of these effects. When a population expands in size, the LD curve grows steeper, and this effect is especially pronounced following a bottleneck in population size. When a population shrinks, the LD curve rises but remains relatively flat. As LD converges toward a new equilibrium, its time path may not be monotonic. Following an episode of growth, for example, it declines to a low value before rising toward the new equilibrium. These changes happen at different rates for different LD statistics. They are especially slow for estimates of σd2, which therefore allow inferences about ancient population history. For the human population of Europe, these results suggest a history of population growth. PMID:24907258

  11. The Structure of Linkage Disequilibrium Around a Selective Sweep

    PubMed Central

    McVean, Gil

    2007-01-01

    The fixation of advantageous mutations by natural selection has a profound impact on patterns of linked neutral variation. While it has long been appreciated that such selective sweeps influence the frequency spectrum of nearby polymorphism, it has only recently become clear that they also have dramatic effects on local linkage disequilibrium. By extending previous results on the relationship between genealogical structure and linkage disequilibrium, I obtain simple expressions for the influence of a selective sweep on patterns of allelic association. I show that sweeps can increase, decrease, or even eliminate linkage disequilibrium (LD) entirely depending on the relative position of the selected and neutral loci. I also show the importance of the age of the neutral mutations in predicting their degree of association and describe the consequences of such results for the interpretation of empirical data. In particular, I demonstrate that while selective sweeps can eliminate LD, they generate patterns of genetic variation very different from those expected from recombination hotspots. PMID:17194788

  12. Linkage disequilibrium fine mapping of quantitative trait loci: A simulation study

    PubMed Central

    Abdallah, Jihad M; Goffinet, Bruno; Cierco-Ayrolles, Christine; Pérez-Enciso, Miguel

    2003-01-01

    Recently, the use of linkage disequilibrium (LD) to locate genes which affect quantitative traits (QTL) has received an increasing interest, but the plausibility of fine mapping using linkage disequilibrium techniques for QTL has not been well studied. The main objectives of this work were to (1) measure the extent and pattern of LD between a putative QTL and nearby markers in finite populations and (2) investigate the usefulness of LD in fine mapping QTL in simulated populations using a dense map of multiallelic or biallelic marker loci. The test of association between a marker and QTL and the power of the test were calculated based on single-marker regression analysis. The results show the presence of substantial linkage disequilibrium with closely linked marker loci after 100 to 200 generations of random mating. Although the power to test the association with a frequent QTL of large effect was satisfactory, the power was low for the QTL with a small effect and/or low frequency. More powerful, multi-locus methods may be required to map low frequent QTL with small genetic effects, as well as combining both linkage and linkage disequilibrium information. The results also showed that multiallelic markers are more useful than biallelic markers to detect linkage disequilibrium and association at an equal distance. PMID:12939203

  13. Highly Variable Patterns of Linkage Disequilibrium in Multiple Soybean Populations

    Technology Transfer Automated Retrieval System (TEKTRAN)

    Prospects for utilizing whole genome association analysis in autogamous plant populations appear promising due to the reported high levels of linkage disequilibrium (LD). To determine the optimal strategies for implementing association analysis in soybean (Glycine max L. Merr.), we analyzed the str...

  14. Linkage disequilibrium interval mapping of quantitative trait loci

    PubMed Central

    Boitard, Simon; Abdallah, Jihad; de Rochambeau, Hubert; Cierco-Ayrolles, Christine; Mangin, Brigitte

    2006-01-01

    Background For many years gene mapping studies have been performed through linkage analyses based on pedigree data. Recently, linkage disequilibrium methods based on unrelated individuals have been advocated as powerful tools to refine estimates of gene location. Many strategies have been proposed to deal with simply inherited disease traits. However, locating quantitative trait loci is statistically more challenging and considerable research is needed to provide robust and computationally efficient methods. Results Under a three-locus Wright-Fisher model, we derived approximate expressions for the expected haplotype frequencies in a population. We considered haplotypes comprising one trait locus and two flanking markers. Using these theoretical expressions, we built a likelihood-maximization method, called HAPim, for estimating the location of a quantitative trait locus. For each postulated position, the method only requires information from the two flanking markers. Over a wide range of simulation scenarios it was found to be more accurate than a two-marker composite likelihood method. It also performed as well as identity by descent methods, whilst being valuable in a wider range of populations. Conclusion Our method makes efficient use of marker information, and can be valuable for fine mapping purposes. Its performance is increased if multiallelic markers are available. Several improvements can be developed to account for more complex evolution scenarios or provide robust confidence intervals for the location estimates. PMID:16542433

  15. Map-based molecular diversity, linkage disequilibrium and association mapping of fruit traits in melon

    Technology Transfer Automated Retrieval System (TEKTRAN)

    The wide phenotypic diversity, in melon fruits, is the result of consumer preferences combined with genotype fitness to the different agro-climatic zones. There is no sufficient information with respect to the extent of genetic divergence, population structure and linkage disequilibrium (LD) in mel...

  16. Effective population size of an indigenous Swiss cattle breed estimated from linkage disequilibrium

    Technology Transfer Automated Retrieval System (TEKTRAN)

    Effective population size is an important parameter for the assessment of genetic diversity within a livestock population and its development over time. If pedigree information is not available, linkage disequilibrium (LD) analysis might offer an alternative perspective for the estimation of effecti...

  17. Constructing a linkage-linkage disequilibrium map using dominant-segregating markers.

    PubMed

    Zhu, Xuli; Dong, Leiming; Jiang, Libo; Li, Huan; Sun, Lidan; Zhang, Hui; Yu, Weiwu; Liu, Haokai; Dai, Wensheng; Zeng, Yanru; Wu, Rongling

    2016-02-01

    The relationship between linkage disequilibrium (LD) and recombination fraction can be used to infer the pattern of genetic variation and evolutionary process in humans and other systems. We described a computational framework to construct a linkage-LD map from commonly used biallelic, single-nucleotide polymorphism (SNP) markers for outcrossing plants by which the decline of LD is visualized with genetic distance. The framework was derived from an open-pollinated (OP) design composed of plants randomly sampled from a natural population and seeds from each sampled plant, enabling simultaneous estimation of the LD in the natural population and recombination fraction due to allelic co-segregation during meiosis. We modified the framework to infer evolutionary pasts of natural populations using those marker types that are segregating in a dominant manner, given their role in creating and maintaining population genetic diversity. A sophisticated two-level EM algorithm was implemented to estimate and retrieve the missing information of segregation characterized by dominant-segregating markers such as single methylation polymorphisms. The model was applied to study the relationship between linkage and LD for a non-model outcrossing species, a gymnosperm species, Torreya grandis, naturally distributed in mountains of the southeastern China. The linkage-LD map constructed from various types of molecular markers opens a powerful gateway for studying the history of plant evolution. PMID:26622063

  18. Modeling Linkage Disequilibrium Increases Accuracy of Polygenic Risk Scores

    PubMed Central

    Vilhjálmsson, Bjarni J.; Yang, Jian; Finucane, Hilary K.; Gusev, Alexander; Lindström, Sara; Ripke, Stephan; Genovese, Giulio; Loh, Po-Ru; Bhatia, Gaurav; Do, Ron; Hayeck, Tristan; Won, Hong-Hee; Ripke, Stephan; Neale, Benjamin M.; Corvin, Aiden; Walters, James T.R.; Farh, Kai-How; Holmans, Peter A.; Lee, Phil; Bulik-Sullivan, Brendan; Collier, David A.; Huang, Hailiang; Pers, Tune H.; Agartz, Ingrid; Agerbo, Esben; Albus, Margot; Alexander, Madeline; Amin, Farooq; Bacanu, Silviu A.; Begemann, Martin; Belliveau, Richard A.; Bene, Judit; Bergen, Sarah E.; Bevilacqua, Elizabeth; Bigdeli, Tim B.; Black, Donald W.; Bruggeman, Richard; Buccola, Nancy G.; Buckner, Randy L.; Byerley, William; Cahn, Wiepke; Cai, Guiqing; Campion, Dominique; Cantor, Rita M.; Carr, Vaughan J.; Carrera, Noa; Catts, Stanley V.; Chambert, Kimberly D.; Chan, Raymond C.K.; Chen, Ronald Y.L.; Chen, Eric Y.H.; Cheng, Wei; Cheung, Eric F.C.; Chong, Siow Ann; Cloninger, C. Robert; Cohen, David; Cohen, Nadine; Cormican, Paul; Craddock, Nick; Crowley, James J.; Curtis, David; Davidson, Michael; Davis, Kenneth L.; Degenhardt, Franziska; Del Favero, Jurgen; DeLisi, Lynn E.; Demontis, Ditte; Dikeos, Dimitris; Dinan, Timothy; Djurovic, Srdjan; Donohoe, Gary; Drapeau, Elodie; Duan, Jubao; Dudbridge, Frank; Durmishi, Naser; Eichhammer, Peter; Eriksson, Johan; Escott-Price, Valentina; Essioux, Laurent; Fanous, Ayman H.; Farrell, Martilias S.; Frank, Josef; Franke, Lude; Freedman, Robert; Freimer, Nelson B.; Friedl, Marion; Friedman, Joseph I.; Fromer, Menachem; Genovese, Giulio; Georgieva, Lyudmila; Gershon, Elliot S.; Giegling, Ina; Giusti-Rodrguez, Paola; Godard, Stephanie; Goldstein, Jacqueline I.; Golimbet, Vera; Gopal, Srihari; Gratten, Jacob; Grove, Jakob; de Haan, Lieuwe; Hammer, Christian; Hamshere, Marian L.; Hansen, Mark; Hansen, Thomas; Haroutunian, Vahram; Hartmann, Annette M.; Henskens, Frans A.; Herms, Stefan; Hirschhorn, Joel N.; Hoffmann, Per; Hofman, Andrea; Hollegaard, Mads V.; Hougaard, David M.; Ikeda, Masashi; Joa, Inge; Julia, Antonio; Kahn, Rene S.; Kalaydjieva, Luba; Karachanak-Yankova, Sena; Karjalainen, Juha; Kavanagh, David; Keller, Matthew C.; Kelly, Brian J.; Kennedy, James L.; Khrunin, Andrey; Kim, Yunjung; Klovins, Janis; Knowles, James A.; Konte, Bettina; Kucinskas, Vaidutis; Kucinskiene, Zita Ausrele; Kuzelova-Ptackova, Hana; Kahler, Anna K.; Laurent, Claudine; Keong, Jimmy Lee Chee; Lee, S. Hong; Legge, Sophie E.; Lerer, Bernard; Li, Miaoxin; Li, Tao; Liang, Kung-Yee; Lieberman, Jeffrey; Limborska, Svetlana; Loughland, Carmel M.; Lubinski, Jan; Lnnqvist, Jouko; Macek, Milan; Magnusson, Patrik K.E.; Maher, Brion S.; Maier, Wolfgang; Mallet, Jacques; Marsal, Sara; Mattheisen, Manuel; Mattingsdal, Morten; McCarley, Robert W.; McDonald, Colm; McIntosh, Andrew M.; Meier, Sandra; Meijer, Carin J.; Melegh, Bela; Melle, Ingrid; Mesholam-Gately, Raquelle I.; Metspalu, Andres; Michie, Patricia T.; Milani, Lili; Milanova, Vihra; Mokrab, Younes; Morris, Derek W.; Mors, Ole; Mortensen, Preben B.; Murphy, Kieran C.; Murray, Robin M.; Myin-Germeys, Inez; Mller-Myhsok, Bertram; Nelis, Mari; Nenadic, Igor; Nertney, Deborah A.; Nestadt, Gerald; Nicodemus, Kristin K.; Nikitina-Zake, Liene; Nisenbaum, Laura; Nordin, Annelie; O’Callaghan, Eadbhard; O’Dushlaine, Colm; O’Neill, F. Anthony; Oh, Sang-Yun; Olincy, Ann; Olsen, Line; Van Os, Jim; Pantelis, Christos; Papadimitriou, George N.; Papiol, Sergi; Parkhomenko, Elena; Pato, Michele T.; Paunio, Tiina; Pejovic-Milovancevic, Milica; Perkins, Diana O.; Pietilinen, Olli; Pimm, Jonathan; Pocklington, Andrew J.; Powell, John; Price, Alkes; Pulver, Ann E.; Purcell, Shaun M.; Quested, Digby; Rasmussen, Henrik B.; Reichenberg, Abraham; Reimers, Mark A.; Richards, Alexander L.; Roffman, Joshua L.; Roussos, Panos; Ruderfer, Douglas M.; Salomaa, Veikko; Sanders, Alan R.; Schall, Ulrich; Schubert, Christian R.; Schulze, Thomas G.; Schwab, Sibylle G.; Scolnick, Edward M.; Scott, Rodney J.; Seidman, Larry J.; Shi, Jianxin; Sigurdsson, Engilbert; Silagadze, Teimuraz; Silverman, Jeremy M.; Sim, Kang; Slominsky, Petr; Smoller, Jordan W.; So, Hon-Cheong; Spencer, Chris C.A.; Stahl, Eli A.; Stefansson, Hreinn; Steinberg, Stacy; Stogmann, Elisabeth; Straub, Richard E.; Strengman, Eric; Strohmaier, Jana; Stroup, T. Scott; Subramaniam, Mythily; Suvisaari, Jaana; Svrakic, Dragan M.; Szatkiewicz, Jin P.; Sderman, Erik; Thirumalai, Srinivas; Toncheva, Draga; Tooney, Paul A.; Tosato, Sarah; Veijola, Juha; Waddington, John; Walsh, Dermot; Wang, Dai; Wang, Qiang; Webb, Bradley T.; Weiser, Mark; Wildenauer, Dieter B.; Williams, Nigel M.; Williams, Stephanie; Witt, Stephanie H.; Wolen, Aaron R.; Wong, Emily H.M.; Wormley, Brandon K.; Wu, Jing Qin; Xi, Hualin Simon; Zai, Clement C.; Zheng, Xuebin; Zimprich, Fritz; Wray, Naomi R.; Stefansson, Kari; Visscher, Peter M.; Adolfsson, Rolf; Andreassen, Ole A.; Blackwood, Douglas H.R.; Bramon, Elvira; Buxbaum, Joseph D.; Børglum, Anders D.; Cichon, Sven; Darvasi, Ariel; Domenici, Enrico; Ehrenreich, Hannelore; Esko, Tonu; Gejman, Pablo V.; Gill, Michael; Gurling, Hugh; Hultman, Christina M.; Iwata, Nakao; Jablensky, Assen V.; Jonsson, Erik G.; Kendler, Kenneth S.; Kirov, George; Knight, Jo; Lencz, Todd; Levinson, Douglas F.; Li, Qingqin S.; Liu, Jianjun; Malhotra, Anil K.; McCarroll, Steven A.; McQuillin, Andrew; Moran, Jennifer L.; Mortensen, Preben B.; Mowry, Bryan J.; Nthen, Markus M.; Ophoff, Roel A.; Owen, Michael J.; Palotie, Aarno; Pato, Carlos N.; Petryshen, Tracey L.; Posthuma, Danielle; Rietschel, Marcella; Riley, Brien P.; Rujescu, Dan; Sham, Pak C.; Sklar, Pamela; St. Clair, David; Weinberger, Daniel R.; Wendland, Jens R.; Werge, Thomas; Daly, Mark J.; Sullivan, Patrick F.; O’Donovan, Michael C.; Kraft, Peter; Hunter, David J.; Adank, Muriel; Ahsan, Habibul; Aittomäki, Kristiina; Baglietto, Laura; Berndt, Sonja; Blomquist, Carl; Canzian, Federico; Chang-Claude, Jenny; Chanock, Stephen J.; Crisponi, Laura; Czene, Kamila; Dahmen, Norbert; Silva, Isabel dos Santos; Easton, Douglas; Eliassen, A. Heather; Figueroa, Jonine; Fletcher, Olivia; Garcia-Closas, Montserrat; Gaudet, Mia M.; Gibson, Lorna; Haiman, Christopher A.; Hall, Per; Hazra, Aditi; Hein, Rebecca; Henderson, Brian E.; Hofman, Albert; Hopper, John L.; Irwanto, Astrid; Johansson, Mattias; Kaaks, Rudolf; Kibriya, Muhammad G.; Lichtner, Peter; Lindström, Sara; Liu, Jianjun; Lund, Eiliv; Makalic, Enes; Meindl, Alfons; Meijers-Heijboer, Hanne; Müller-Myhsok, Bertram; Muranen, Taru A.; Nevanlinna, Heli; Peeters, Petra H.; Peto, Julian; Prentice, Ross L.; Rahman, Nazneen; Sánchez, María José; Schmidt, Daniel F.; Schmutzler, Rita K.; Southey, Melissa C.; Tamimi, Rulla; Travis, Ruth; Turnbull, Clare; Uitterlinden, Andre G.; van der Luijt, Rob B.; Waisfisz, Quinten; Wang, Zhaoming; Whittemore, Alice S.; Yang, Rose; Zheng, Wei; Kathiresan, Sekar; Pato, Michele; Pato, Carlos; Tamimi, Rulla; Stahl, Eli; Zaitlen, Noah; Pasaniuc, Bogdan; Belbin, Gillian; Kenny, Eimear E.; Schierup, Mikkel H.; De Jager, Philip; Patsopoulos, Nikolaos A.; McCarroll, Steve; Daly, Mark; Purcell, Shaun; Chasman, Daniel; Neale, Benjamin; Goddard, Michael; Visscher, Peter M.; Kraft, Peter; Patterson, Nick; Price, Alkes L.

    2015-01-01

    Polygenic risk scores have shown great promise in predicting complex disease risk and will become more accurate as training sample sizes increase. The standard approach for calculating risk scores involves linkage disequilibrium (LD)-based marker pruning and applying a p value threshold to association statistics, but this discards information and can reduce predictive accuracy. We introduce LDpred, a method that infers the posterior mean effect size of each marker by using a prior on effect sizes and LD information from an external reference panel. Theory and simulations show that LDpred outperforms the approach of pruning followed by thresholding, particularly at large sample sizes. Accordingly, predicted R2 increased from 20.1% to 25.3% in a large schizophrenia dataset and from 9.8% to 12.0% in a large multiple sclerosis dataset. A similar relative improvement in accuracy was observed for three additional large disease datasets and for non-European schizophrenia samples. The advantage of LDpred over existing methods will grow as sample sizes increase. PMID:26430803

  19. Modeling Linkage Disequilibrium Increases Accuracy of Polygenic Risk Scores.

    PubMed

    Vilhjálmsson, Bjarni J; Yang, Jian; Finucane, Hilary K; Gusev, Alexander; Lindström, Sara; Ripke, Stephan; Genovese, Giulio; Loh, Po-Ru; Bhatia, Gaurav; Do, Ron; Hayeck, Tristan; Won, Hong-Hee; Kathiresan, Sekar; Pato, Michele; Pato, Carlos; Tamimi, Rulla; Stahl, Eli; Zaitlen, Noah; Pasaniuc, Bogdan; Belbin, Gillian; Kenny, Eimear E; Schierup, Mikkel H; De Jager, Philip; Patsopoulos, Nikolaos A; McCarroll, Steve; Daly, Mark; Purcell, Shaun; Chasman, Daniel; Neale, Benjamin; Goddard, Michael; Visscher, Peter M; Kraft, Peter; Patterson, Nick; Price, Alkes L

    2015-10-01

    Polygenic risk scores have shown great promise in predicting complex disease risk and will become more accurate as training sample sizes increase. The standard approach for calculating risk scores involves linkage disequilibrium (LD)-based marker pruning and applying a p value threshold to association statistics, but this discards information and can reduce predictive accuracy. We introduce LDpred, a method that infers the posterior mean effect size of each marker by using a prior on effect sizes and LD information from an external reference panel. Theory and simulations show that LDpred outperforms the approach of pruning followed by thresholding, particularly at large sample sizes. Accordingly, predicted R(2) increased from 20.1% to 25.3% in a large schizophrenia dataset and from 9.8% to 12.0% in a large multiple sclerosis dataset. A similar relative improvement in accuracy was observed for three additional large disease datasets and for non-European schizophrenia samples. The advantage of LDpred over existing methods will grow as sample sizes increase. PMID:26430803

  20. Peach genetic resources: diversity, population structure and linkage disequilibrium

    PubMed Central

    2013-01-01

    Background Peach (Prunus persica (L.) Batsch) is one of the most important model fruits in the Rosaceae family. Native to the west of China, where peach has been domesticated for more than 4,000 years, its cultivation spread from China to Persia, Mediterranean countries and to America. Chinese peach has had a major impact on international peach breeding programs due to its high genetic diversity. In this research, we used 48 highly polymorphic SSRs, distributed over the peach genome, to investigate the difference in genetic diversity, and linkage disequilibrium (LD) among Chinese cultivars, and North American and European cultivars, and the evolution of current peach cultivars. Results In total, 588 alleles were obtained with 48 SSRs on 653 peach accessions, giving an average of 12.25 alleles per locus. In general, the average value of observed heterozygosity (0.47) was lower than the expected heterozygosity (0.60). The separate analysis of groups of accessions according to their origin or reproductive strategies showed greater variability in Oriental cultivars, mainly due to the high level of heterozygosity in Chinese landraces. Genetic distance analysis clustered the cultivars into two main groups: one included four wild related Prunus, and the other included most of the Oriental and Occidental landraces and breeding cultivars. STRUCTURE analysis assigned 469 accessions to three subpopulations: Oriental (234), Occidental (174), and Landraces (61). Nested STRUCTURE analysis divided the Oriental subpopulation into two different subpopulations: ‘Yu Lu’ and ‘Hakuho’. The Occidental breeding subpopulation was also subdivided into nectarine and peach subpopulations. Linkage disequilibrium (LD) analysis in each of these subpopulations showed that the percentage of linked (r2 > 0.1) intra-chromosome comparisons ranged between 14% and 47%. LD decayed faster in Oriental (1,196 Kbp) than in Occidental (2,687 Kbp) samples. In the ‘Yu Lu’ subpopulation there

  1. Genome-wide linkage-disequilibrium profiles from single individuals.

    PubMed

    Lynch, Michael; Xu, Sen; Maruki, Takahiro; Jiang, Xiaoqian; Pfaffelhuber, Peter; Haubold, Bernhard

    2014-09-01

    Although the analysis of linkage disequilibrium (LD) plays a central role in many areas of population genetics, the sampling variance of LD is known to be very large with high sensitivity to numbers of nucleotide sites and individuals sampled. Here we show that a genome-wide analysis of the distribution of heterozygous sites within a single diploid genome can yield highly informative patterns of LD as a function of physical distance. The proposed statistic, the correlation of zygosity, is closely related to the conventional population-level measure of LD, but is agnostic with respect to allele frequencies and hence likely less prone to outlier artifacts. Application of the method to several vertebrate species leads to the conclusion that >80% of recombination events are typically resolved by gene-conversion-like processes unaccompanied by crossovers, with the average lengths of conversion patches being on the order of one to several kilobases in length. Thus, contrary to common assumptions, the recombination rate between sites does not scale linearly with distance, often even up to distances of 100 kb. In addition, the amount of LD between sites separated by <200 bp is uniformly much greater than can be explained by the conventional neutral model, possibly because of the nonindependent origin of mutations within this spatial scale. These results raise questions about the application of conventional population-genetic interpretations to LD on short spatial scales and also about the use of spatial patterns of LD to infer demographic histories. PMID:24948778

  2. High-resolution linkage-disequilibrium mapping of the cartilage-hair hypoplasia gene

    SciTech Connect

    Sulisalo, T.; Klockars, J.; Chapelle, A. de la; Kaitila, I. |; Maekitie, O.; Sistonen, P.; Francomano, C.A.

    1994-11-01

    We recently assigned the gene for an autosomal recessive skeletal dysplasia, cartilage-hair hypoplasia (CHH), to 9p21-p13 in Finnish and Amish families. An association was observed between CHH and alleles at D9S163 in both family series, suggesting that these loci are in linkage disequilibrium and close to each other. Here we extended these studies by exploiting the linkage-disequilibrium information that can be obtained from families with a single affected child, and we studied 66 Finnish CHH families with seven microsatellite markers. The analysis based on the Luria and Delbrueck (1943) method and adapted to the study of human founder populations suggests that the distance between CHH and D9S163 is {approximately}0.3 cM. An eight-point linkage analysis modified to take advantage of all possible information in 15 Finnish and 17 Amish families was capable of narrowing the likely location of CHH to within an interval of 1.7 cM on a male map. The peak lod score of 54.92 was attained 0.03 and 0.1 cM proximal to D9S163 on the male and female maps, respectively. These results confirm the power of genetic resolution, that lies in the study of linkage disequilibrium in well-defined founder populations with one major ancestral disease mutation. 21 refs., 4 figs., 3 tabs.

  3. Linkage and Linkage Disequilibrium Scan for Autism Loci in an Extended Pedigree from Finland

    PubMed Central

    Kilpinen, Helena; Ylisaukko-oja, Tero; Rehnström, Karola; Gaál, Emilia; Turunen, Joni A.; Kempas, Elli; von Wendt, Lennart; Varilo, Teppo; Peltonen, Leena

    2009-01-01

    Population isolates, such as Finland, have proved beneficial in mapping rare causative genetic variants due to a limited number of founders resulting in reduced genetic heterogeneity and extensive linkage disequilibrium. We have here used this special opportunity to identify rare alleles in autism by genealogically tracing 20 autism families into one extended pedigree with verified genealogical links reaching back to the 17th century. In this unique pedigree we performed a dense microsatellite marker genome-wide scan of linkage and linkage disequilibrium, and followed initial findings with extensive fine-mapping. We identified a putative autism susceptibility locus at 19p13.3, and obtained further evidence for previously identified loci at 1q23 and 15q11-13. Most promising candidate genes were TLE2 and TLE6 genes clustered at 19p13 and ATP1A2 at 1q23. PMID:19454485

  4. Linkage disequilibrium between the beta frequency of the human EEG and a GABAA receptor gene locus

    PubMed Central

    Porjesz, Bernice; Almasy, Laura; Edenberg, Howard J.; Wang, Kongming; Chorlian, David B.; Foroud, Tatiana; Goate, Alison; Rice, John P.; O'Connor, Sean J.; Rohrbaugh, John; Kuperman, Samuel; Bauer, Lance O.; Crowe, Raymond R.; Schuckit, Marc A.; Hesselbrock, Victor; Conneally, P. Michael; Tischfield, Jay A.; Li, Ting-Kai; Reich, Theodore; Begleiter, Henri

    2002-01-01

    Human brain oscillations represent important features of information processing and are highly heritable. A common feature of beta oscillations (13–28 Hz) is the critical involvement of networks of inhibitory interneurons as pacemakers, gated by γ-aminobutyric acid type A (GABAA) action. Advances in molecular and statistical genetics permit examination of quantitative traits such as the beta frequency of the human electroencephalogram in conjunction with DNA markers. We report a significant linkage and linkage disequilibrium between beta frequency and a set of GABAA receptor genes. Uncovering the genes influencing brain oscillations provides a better understanding of the neural function involved in information processing. PMID:11891318

  5. AUTOGSCAN: powerful tools for automated genome-wide linkage and linkage disequilibrium analysis.

    PubMed

    Hiekkalinna, Tero; Terwilliger, Joseph D; Sammalisto, Sampo; Peltonen, Leena; Perola, Markus

    2005-02-01

    Genome-wide linkage analysis using multiple traits and statistical software packages is a tedious process which requires a significant amount of manual file manipulation. Different linkage analysis programs require different input file formats, making the task of analyzing data with multiple methods even more time-consuming. We have developed a software tool, AUTOGSCAN, that automates file formatting, the running of statistical analyses, and the summarizing of resulting statistics for whole genome scans with a push of a button, using several independent, and often idiosyncratic, statistical software packages such as MERLIN, SOLAR and GENEHUNTER. We also describe a program, ANALYZE, designed to run qualitative linkage analysis with several different statistical strategies and programs to efficiently screen for linkage and linkage disequilibrium for a given discrete trait. The ANALYZE program can also be used by AUTOGSCAN in a genome-wide sense. PMID:15836805

  6. Population structure and its effect on haplotype diversity and linkage disequilibrium surrounding the xa5 locus of rice (Oryza sativa L.).

    PubMed Central

    Garris, Amanda J; McCouch, Susan R; Kresovich, Stephen

    2003-01-01

    To assess the usefulness of linkage disequilibrium mapping in an autogamous, domesticated species, we have characterized linkage disequilibrium in the candidate region for xa5, a recessive gene conferring race-specific resistance to bacterial blight in rice. This trait and locus have good mapping information, a tractable phenotype, and available sequence data, but no cloned gene. We sampled 13 short segments from the 70-kb candidate region in 114 accessions of Oryza sativa. Five additional segments were sequenced from the adjacent 45-kb region in resistant accessions to estimate the distance at which linkage disequilibrium decays. The data show significant linkage disequilibrium between sites 100 kb apart. The presence of the xa5 resistant reaction in two ecotypes and in accessions with different haplotypes in the candidate region may indicate multiple origins or genetic heterogeneity for resistance. In addition, genetic differentiation between ecotypes emphasizes the need for controlling for population structure in the design of linkage disequilibrium studies in rice. PMID:14573486

  7. Informative-Transmission Disequilibrium Test (i-TDT):Combined Linkage and Association Mapping That Includes Unaffected Offspring as Well as Affected Offspring

    Technology Transfer Automated Retrieval System (TEKTRAN)

    To date, there is no test valid for the composite null hypothesis of no linkage or no association that utilizes transmission information from heterozygous parents to their unaffected offspring as well as the affected offspring from ascertained nuclear families. Since the unaffected siblings also pro...

  8. Novel measures of linkage disequilibrium that correct the bias due to population structure and relatedness

    PubMed Central

    Mangin, B; Siberchicot, A; Nicolas, S; Doligez, A; This, P; Cierco-Ayrolles, C

    2012-01-01

    Among the several linkage disequilibrium measures known to capture different features of the non-independence between alleles at different loci, the most commonly used for diallelic loci is the r2 measure. In the present study, we tackled the problem of the bias of r2 estimate, which results from the sample structure and/or the relatedness between genotyped individuals. We derived two novel linkage disequilibrium measures for diallelic loci that are both extensions of the usual r2 measure. The first one, rS2, uses the population structure matrix, which consists of information about the origins of each individual and the admixture proportions of each individual genome. The second one, rV2, includes the kinship matrix into the calculation. These two corrections can be applied together in order to correct for both biases and are defined either on phased or unphased genotypes. We proved that these novel measures are linked to the power of association tests under the mixed linear model including structure and kinship corrections. We validated them on simulated data and applied them to real data sets collected on Vitis vinifera plants. Our results clearly showed the usefulness of the two corrected r2 measures, which actually captured ‘true' linkage disequilibrium unlike the usual r2 measure. PMID:21878986

  9. Novel measures of linkage disequilibrium that correct the bias due to population structure and relatedness.

    PubMed

    Mangin, B; Siberchicot, A; Nicolas, S; Doligez, A; This, P; Cierco-Ayrolles, C

    2012-03-01

    Among the several linkage disequilibrium measures known to capture different features of the non-independence between alleles at different loci, the most commonly used for diallelic loci is the r(2) measure. In the present study, we tackled the problem of the bias of r(2) estimate, which results from the sample structure and/or the relatedness between genotyped individuals. We derived two novel linkage disequilibrium measures for diallelic loci that are both extensions of the usual r(2) measure. The first one, r(S)(2), uses the population structure matrix, which consists of information about the origins of each individual and the admixture proportions of each individual genome. The second one, r(V)(2), includes the kinship matrix into the calculation. These two corrections can be applied together in order to correct for both biases and are defined either on phased or unphased genotypes.We proved that these novel measures are linked to the power of association tests under the mixed linear model including structure and kinship corrections. We validated them on simulated data and applied them to real data sets collected on Vitis vinifera plants. Our results clearly showed the usefulness of the two corrected r(2) measures, which actually captured 'true' linkage disequilibrium unlike the usual r(2) measure. PMID:21878986

  10. Linkage disequilibrium in the neurofibromatosis 1 (NF1) region: implications for gene mapping.

    PubMed Central

    Jorde, L B; Watkins, W S; Viskochil, D; O'Connell, P; Ward, K

    1993-01-01

    To test the usefulness of linkage disequilibrium for gene mapping, we compared physical distances and linkage disequilibrium among eight RFLPs in the neurofibromatosis 1 (NF1) region. Seven of the polymorphisms span most of the NF1 gene, while the remaining polymorphism lies approximately 70 kb 3' to a stop codon in exon 49. By using Centre d'Etude du Polymorphisme Humain (CEPH) kindreds, 91-110 unrelated parents were genotyped. A high degree of disequilibrium is maintained among the seven intragenic polymorphisms (r > .82, P < 10(-7)), even though they are separated by as much as 340 kb. The 3' polymorphism is only 68 kb distal to the next polymorphism, but disequilibrium between the 3' polymorphism and all others is comparatively low (magnitude of 4 < .33, P values .27-.001). This result was replicated in three sets of unrelated kindreds: the Utah CEPH families, the non-Utah CEPH families, and an independent set of NF1 families. Trigenic, quadrigenic, three-locus, and four-locus disequilibrium measures were also estimated. There was little evidence of higher-order linkage disequilibrium. As expected for a disease with multiple mutations, no disequilibrium was observed between the disease gene and any of the RFLPs. The observed pattern of high disequilibrium within the gene and a loss of disequilibrium 3' to the stop codon could have implications for gene mapping studies. These are discussed, and guidelines for linkage disequilibrium studies are suggested. PMID:8105688

  11. Linkage Disequilibrium Under Skewed Offspring Distribution Among Individuals in a Population

    PubMed Central

    Eldon, Bjarki; Wakeley, John

    2008-01-01

    Correlations in coalescence times between two loci are derived under selectively neutral population models in which the offspring of an individual can number on the order of the population size. The correlations depend on the rates of recombination and random drift and are shown to be functions of the parameters controlling the size and frequency of these large reproduction events. Since a prediction of linkage disequilibrium can be written in terms of correlations in coalescence times, it follows that the prediction of linkage disequilibrium is a function not only of the rate of recombination but also of the reproduction parameters. Low linkage disequilibrium is predicted if the offspring of a single individual frequently replace almost the entire population. However, high linkage disequilibrium can be predicted if the offspring of a single individual replace an intermediate fraction of the population. In some cases the model reproduces the standard Wright–Fisher predictions. Contrary to common intuition, high linkage disequilibrium can be predicted despite frequent recombination, and low linkage disequilibrium under infrequent recombination. Simulations support the analytical results but show that the variance of linkage disequilibrium is very large. PMID:18245371

  12. Fine mapping of the congenital chloride diarrhea gene by linkage disequilibrium

    SciTech Connect

    Hoeglund, P.; de la Chapelle, A.; Kere, J.

    1995-07-01

    Congenital chloride diarrhea is a recessively inherited intestinal disorder affecting electrolyte transportation. The clinical presentation is a life-threatening watery diarrhea with a high chloride content. Recently, the congenital chloride diarrhea gene (CLD) was assigned to chromosome 7 by linkage in eight Finnish families. In the present study, refined mapping of CLD was performed by studying linkage and linkage disequilibrium in 24 Finnish and 4 Swedish families. Recombination mapping assigned CLD to an {approximately}10-cM region flanked by D7S515 and D7S799. Linkage disequilibrium was detected over this large genetic region, with the strongest allelic association at D7S496. Application of the Luria and Delbrueck-derived analysis allowed for a further narrowing of the CLD region to {approximately}.37 cM from the marker D7S496. Haplotype analysis placed CLD unequivocally between D7S501 and D7S692, very close to D7S496 and most likely on the distal side of D7S496. This combined analytical approach allowed highly accurate mapping of CLD, each component adding complementary and consistent mapping information. 32 refs., 4 figs., 4 tabs.

  13. Intrahaplotypic Variants Differentiate Complex Linkage Disequilibrium within Human MHC Haplotypes

    PubMed Central

    Lam, Tze Hau; Tay, Matthew Zirui; Wang, Bei; Xiao, Ziwei; Ren, Ee Chee

    2015-01-01

    Distinct regions of long-range genetic fixation in the human MHC region, known as conserved extended haplotypes (CEHs), possess unique genomic characteristics and are strongly associated with numerous diseases. While CEHs appear to be homogeneous by SNP analysis, the nature of fine variations within their genomic structure is unknown. Using multiple, MHC-homozygous cell lines, we demonstrate extensive sequence conservation in two common Asian MHC haplotypes: A33-B58-DR3 and A2-B46-DR9. However, characterization of phase-resolved MHC haplotypes revealed unique intra-CEH patterns of variation and uncovered 127 single nucleotide variants (SNVs) which are missing from public databases. We further show that the strong linkage disequilibrium structure within the human MHC that typically confounds precise identification of genetic features can be resolved using intra-CEH variants, as evidenced by rs3129063 and rs448489, which affect expression of ZFP57, a gene important in methylation and epigenetic regulation. This study demonstrates an improved strategy that can be used towards genetic dissection of diseases. PMID:26593880

  14. Detecting Recombination Hotspots from Patterns of Linkage Disequilibrium.

    PubMed

    Wall, Jeffrey D; Stevison, Laurie S

    2016-01-01

    With recent advances in DNA sequencing technologies, it has become increasingly easy to use whole-genome sequencing of unrelated individuals to assay patterns of linkage disequilibrium (LD) across the genome. One type of analysis that is commonly performed is to estimate local recombination rates and identify recombination hotspots from patterns of LD. One method for detecting recombination hotspots, LDhot, has been used in a handful of species to further our understanding of the basic biology of recombination. For the most part, the effectiveness of this method (e.g., power and false positive rate) is unknown. In this study, we run extensive simulations to compare the effectiveness of three different implementations of LDhot. We find large differences in the power and false positive rates of these different approaches, as well as a strong sensitivity to the window size used (with smaller window sizes leading to more accurate estimation of hotspot locations). We also compared our LDhot simulation results with comparable simulation results obtained from a Bayesian maximum-likelihood approach for identifying hotspots. Surprisingly, we found that the latter computationally intensive approach had substantially lower power over the parameter values considered in our simulations. PMID:27226166

  15. Detecting Recombination Hotspots from Patterns of Linkage Disequilibrium

    PubMed Central

    Wall, Jeffrey D.; Stevison, Laurie S.

    2016-01-01

    With recent advances in DNA sequencing technologies, it has become increasingly easy to use whole-genome sequencing of unrelated individuals to assay patterns of linkage disequilibrium (LD) across the genome. One type of analysis that is commonly performed is to estimate local recombination rates and identify recombination hotspots from patterns of LD. One method for detecting recombination hotspots, LDhot, has been used in a handful of species to further our understanding of the basic biology of recombination. For the most part, the effectiveness of this method (e.g., power and false positive rate) is unknown. In this study, we run extensive simulations to compare the effectiveness of three different implementations of LDhot. We find large differences in the power and false positive rates of these different approaches, as well as a strong sensitivity to the window size used (with smaller window sizes leading to more accurate estimation of hotspot locations). We also compared our LDhot simulation results with comparable simulation results obtained from a Bayesian maximum-likelihood approach for identifying hotspots. Surprisingly, we found that the latter computationally intensive approach had substantially lower power over the parameter values considered in our simulations. PMID:27226166

  16. Inferring admixture histories of human populations using linkage disequilibrium.

    PubMed

    Loh, Po-Ru; Lipson, Mark; Patterson, Nick; Moorjani, Priya; Pickrell, Joseph K; Reich, David; Berger, Bonnie

    2013-04-01

    Long-range migrations and the resulting admixtures between populations have been important forces shaping human genetic diversity. Most existing methods for detecting and reconstructing historical admixture events are based on allele frequency divergences or patterns of ancestry segments in chromosomes of admixed individuals. An emerging new approach harnesses the exponential decay of admixture-induced linkage disequilibrium (LD) as a function of genetic distance. Here, we comprehensively develop LD-based inference into a versatile tool for investigating admixture. We present a new weighted LD statistic that can be used to infer mixture proportions as well as dates with fewer constraints on reference populations than previous methods. We define an LD-based three-population test for admixture and identify scenarios in which it can detect admixture events that previous formal tests cannot. We further show that we can uncover phylogenetic relationships among populations by comparing weighted LD curves obtained using a suite of references. Finally, we describe several improvements to the computation and fitting of weighted LD curves that greatly increase the robustness and speed of the calculations. We implement all of these advances in a software package, ALDER, which we validate in simulations and apply to test for admixture among all populations from the Human Genome Diversity Project (HGDP), highlighting insights into the admixture history of Central African Pygmies, Sardinians, and Japanese. PMID:23410830

  17. Linkage disequilibrium predicts physical distance in the adenomatous polyposis coli region

    SciTech Connect

    Jorde, L.B.; Watkins, W.S.; Carlson, M.; Albertsen, H.; Thliveris, A.; Leppert, M. )

    1994-05-01

    To test the reliability of linkage-disequilibrium analysis for gene mapping, the authors compared physical distance and linkage disequilibrium among seven polymorphisms in the adenomatous polyposis coli (APC) region on chromosome 5. Three of them lie within the APC gene, and two lie within the nearby MCC (mutated in colon cancer) gene. One polymorphism lies between the two genes, and one is likely to be 5' of MCC. Five of these polymorphisms are newly reported. All polymorphisms were typed in the CEPH kindreds, yielding 179-205 unrelated two-locus haplotypes. Linkage disequilibrium between each pair of polymorphisms is highly correlated with physical distance in this 550-kb region (correlation coefficient [minus].80, P < .006). This result is replicated in both the Utah and non-Utah CEPH kindreds. There is a tendency for greater disequilibrium among pairs of polymorphisms located within the same gene than among other pairs of polymorphisms. Trigenic, quadrigenic, three-locus, and four-locus disequilibrium measures were also estimated, but these measures revealed much less disequilibrium than did the two-locus disequilibrium measures. A review of 19 published disequilibrium studies, including this one, shows that linkage disequilibrium nearly always correlates significantly with physical distance in genomic regions >50-60 kb but that it does not do so in smaller genomic regions. The authors show that this agrees with theoretical predictions. This finding helps to resolve controversies regarding the use of disequilibrium for inferring gene order. Disequilibrium mapping is unlikely to predict gene order correctly in regions <50-60 kb in size but can often be applied successfully in regions of 50-500 kb or so in size. It is convenient that this is the range in which other mapping techniques, including chromosome walking and linkage mapping, become difficult. 81 refs., 3 figs., 5 tabs.

  18. Assessing microsatellite linkage disequilibrium in wild, cultivated, and mapping populations of Theobroma cacao L and its impact on association mapping

    Technology Transfer Automated Retrieval System (TEKTRAN)

    Linkage disequilibrium (LD) is the nonrandom association of alleles and loci within sets of genetic data and when measured over the genomes of a species can provide important indications for how future association analyses should proceed. This information can be advantageous especially for slow-gro...

  19. Inferring outcrossing in the homothallic fungus Sclerotinia sclerotiorum using linkage disequilibrium decay

    Technology Transfer Automated Retrieval System (TEKTRAN)

    The occurrence and frequency of outcrossing in homothallic fungal species in nature is an unresolved question. Here we report detection of frequent outcrossing in the homothallic fungus Sclerotinia sclerotiorum. In using multilocus linkage disequilibrium (LD) to infer recombination among microsatell...

  20. Genetic Diversity, Population Structure, and Linkage Disequilibrium in Bread Wheat (Triticum aestivum L.).

    PubMed

    Tascioglu, Tulin; Metin, Ozge Karakas; Aydin, Yildiz; Sakiroglu, Muhammet; Akan, Kadir; Uncuoglu, Ahu Altinkut

    2016-08-01

    Bread wheat (Triticum aestivum L.) gene pool was analyzed with 117 microsatellite markers scattered throughout A, B, and D genomes. Ninety microsatellite markers were giving 1620 polymorphic alleles in 55 different bread wheat genotypes. These genotypes were found to be divided into three subgroups based on Bayesian model and Principal component analysis. The highest polymorphism information content value for the markers resides on A genome was estimated for wmc262 marker located on 4A chromosome with the polymorphism information content value of 0.960. The highest polymorphism information content value (0.954) among the markers known to be located on B genome was realized for wmc44 marker located on 1B chromosome. The highest polymorphism information content value for the markers specific to D genome was found in gwm174 marker located on 5D chromosome with the polymorphism information content value of 0.948. The presence of linkage disequilibrium between 81 pairwise SSR markers reside on the same chromosome was tested and very limited linkage disequilibrium was observed. The results confirmed that the most distant genotype pairs were as follows Ceyhan-99-Behoth 6, Gerek 79-Douma 40989, and Karahan-99-Douma 48114. PMID:27048293

  1. Linkage disequilibrium mapping of the cornea plana congenita gene CNA2

    SciTech Connect

    Tahvanainen, E.; Karila, E.; Kolehmainen, J.

    1995-12-10

    We recently assigned a gene for autosomal recessive cornea plana congenita (CNA2; MIM No. 217300) by linkage analysis to the approximately 3-cM interval between markers D12S82 and D12S327. Here, we extended these studies by exploiting the haplotype and linkage disequilibrium information that can be derived from the genetically isolated Finnish population and its subpopulations. By testing 32 independent families with 10 polymorphic markers in the CNA2 interval, strong allelic association between CNA2 and a set of markers with a peak at marker D12S351 was detected. Based on linkage disequilibrium analysis, the critical region for CNA2 could be narrowed to only 0.04-0.3 cM from marker D12S351, thus defining a critical interval 0.08-0.60 cM in length. These results provide a basis for highly focused positional cloning of CNA2. 18 refs., 5 figs., 1 tab.

  2. Linkage disequilibrium in wild and cultured populations of Pacific oyster ( Crassostrea gigas)

    NASA Astrophysics Data System (ADS)

    Guo, Xiang; Li, Qi; Kong, Lingfeng; Yu, Hong

    2016-04-01

    Linkage disequilibrium (LD) can be applied for mapping the actual genes responsible for variation of economically important traits through association mapping. The feasibility and efficacy of association studies are strongly dependent on the extent of LD which determines the number and density of markers in the studied population, as well as the experimental design for an association analysis. In this study, we first characterized the extent of LD in a wild population and a cultured mass-selected line of Pacific oyster ( Crassostrea gigas). A total of 88 wild and 96 cultured individuals were selected to assess the level of genome-wide LD with 53 microsatellites, respectively. For syntenic marker pairs, no significant association was observed in the wild population; however, three significant associations occurred in the cultured population, and the significant LD extended up to 12.7 cM, indicating that strong artificial selection is a key force for substantial increase of genome-wide LD in cultured population. The difference of LD between wild and cultured populations showed that association studies in Pacific oyster can be achieved with reasonable marker densities at a relatively low cost by choosing an association mapping population. Furthermore, the frequent occurrence of LD between non-syntenic loci and rare alleles encourages the joint application of linkage analysis and LD mapping when mapping genes in oyster. The information on the linkage disequilibrium in the cultured population is useful for future association mapping in oyster.

  3. Linkage-Disequilibrium-Based Binning Affects the Interpretation of GWASs

    PubMed Central

    Christoforou, Andrea; Dondrup, Michael; Mattingsdal, Morten; Mattheisen, Manuel; Giddaluru, Sudheer; Nöthen, Markus M.; Rietschel, Marcella; Cichon, Sven; Djurovic, Srdjan; Andreassen, Ole A.; Jonassen, Inge; Steen, Vidar M.; Puntervoll, Pål; Le Hellard, Stéphanie

    2012-01-01

    Genome-wide association studies (GWASs) are critically dependent on detailed knowledge of the pattern of linkage disequilibrium (LD) in the human genome. GWASs generate lists of variants, usually SNPs, ranked according to the significance of their association to a trait. Downstream analyses generally focus on the gene or genes that are physically closest to these SNPs and ignore their LD profile with other SNPs. We have developed a flexible R package (LDsnpR) that efficiently assigns SNPs to genes on the basis of both their physical position and their pairwise LD with other SNPs. We used the positional-binning and LD-based-binning approaches to investigate whether including these “LD-based” SNPs would affect the interpretation of three published GWASs on bipolar affective disorder (BP) and of the imputed versions of two of these GWASs. We show how including LD can be important for interpreting and comparing GWASs. In the published, unimputed GWASs, LD-based binning effectively “recovered” 6.1%–8.3% of Ensembl-defined genes. It altered the ranks of the genes and resulted in nonnegligible differences between the lists of the top 2,000 genes emerging from the two binning approaches. It also improved the overall gene-based concordance between independent BP studies. In the imputed datasets, although the increases in coverage (>0.4%) and rank changes were more modest, even greater concordance between the studies was observed, attesting to the potential of LD-based binning on imputed data as well. Thus, ignoring LD can result in the misinterpretation of the GWAS findings and have an impact on subsequent genetic and functional studies. PMID:22444669

  4. Linkage disequilibrium in Angus, Charolais, and Crossbred beef cattle

    PubMed Central

    Lu, Duc; Sargolzaei, Mehdi; Kelly, Matthew; Li, Changxi; Vander Voort, Gordon; Wang, Zhiquan; Plastow, Graham; Moore, Stephen; Miller, Stephen P.

    2012-01-01

    Linkage disequilibrium (LD) and the persistence of its phase across populations are important for genomic selection as well as fine scale mapping of quantitative trait loci (QTL). However, knowledge of LD in beef cattle, as well as the persistence of LD phase between crossbreds (C) and purebreds, is limited. The objective of this study was to understand the patterns of LD in Angus (AN), Charolais (CH), and C beef cattle based on 31,073, 32,088, and 33,286 SNP in each population, respectively. Amount of LD decreased rapidly from 0.29 to 0.23 to 0.19 in AN, 0.22 to 0.16 to 0.12 in CH, 0.21 to 0.15 to 0.11 in C, when the distance range between markers changed from 0–30 kb to 30–70 kb and then to 70–100 kb, respectively. Breeds and chromosomes had significant effects (P < 0.001) on LD decay. There was significant interaction between breeds and chromosomes (P < 0.001). Correlations of LD phase were high between C and AN (0.84), C and CH (0.81), as well as between AN and CH (0.77) for distances less than or equal to 70 kb. These dropped when the distance increased. Estimated effective population sizes for AN and CH were 207 and 285, respectively, for 10 generations ago. Given a useful LD of at least 0.3 between pairs of SNPs, the LD phase between any pair of the three breed groups was highly persistent. The current SNP density would allow the capture of approximately 49% of useful LD between SNP and marker QTL in AN, and 38% in CH. A higher density SNP panel or redesign of the current panel is needed to achieve more of useful LD for the purpose of genomic selection beef cattle. PMID:22912646

  5. Performance of random forest when SNPs are in linkage disequilibrium

    PubMed Central

    Meng, Yan A; Yu, Yi; Cupples, L Adrienne; Farrer, Lindsay A; Lunetta, Kathryn L

    2009-01-01

    Background Single nucleotide polymorphisms (SNPs) may be correlated due to linkage disequilibrium (LD). Association studies look for both direct and indirect associations with disease loci. In a Random Forest (RF) analysis, correlation between a true risk SNP and SNPs in LD may lead to diminished variable importance for the true risk SNP. One approach to address this problem is to select SNPs in linkage equilibrium (LE) for analysis. Here, we explore alternative methods for dealing with SNPs in LD: change the tree-building algorithm by building each tree in an RF only with SNPs in LE, modify the importance measure (IM), and use haplotypes instead of SNPs to build a RF. Results We evaluated the performance of our alternative methods by simulation of a spectrum of complex genetics models. When a haplotype rather than an individual SNP is the risk factor, we find that the original Random Forest method performed on SNPs provides good performance. When individual, genotyped SNPs are the risk factors, we find that the stronger the genetic effect, the stronger the effect LD has on the performance of the original RF. A revised importance measure used with the original RF is relatively robust to LD among SNPs; this revised importance measure used with the revised RF is sometimes inflated. Overall, we find that the revised importance measure used with the original RF is the best choice when the genetic model and the number of SNPs in LD with risk SNPs are unknown. For the haplotype-based method, under a multiplicative heterogeneity model, we observed a decrease in the performance of RF with increasing LD among the SNPs in the haplotype. Conclusion Our results suggest that by strategically revising the Random Forest method tree-building or importance measure calculation, power can increase when LD exists between SNPs. We conclude that the revised Random Forest method performed on SNPs offers an advantage of not requiring genotype phase, making it a viable tool for use in the

  6. Nonlinear Analysis of Time Series in Genome-Wide Linkage Disequilibrium Data

    NASA Astrophysics Data System (ADS)

    Hernández-Lemus, Enrique; Estrada-Gil, Jesús K.; Silva-Zolezzi, Irma; Fernández-López, J. Carlos; Hidalgo-Miranda, Alfredo; Jiménez-Sánchez, Gerardo

    2008-02-01

    The statistical study of large scale genomic data has turned out to be a very important tool in population genetics. Quantitative methods are essential to understand and implement association studies in the biomedical and health sciences. Nevertheless, the characterization of recently admixed populations has been an elusive problem due to the presence of a number of complex phenomena. For example, linkage disequilibrium structures are thought to be more complex than their non-recently admixed population counterparts, presenting the so-called ancestry blocks, admixed regions that are not yet smoothed by the effect of genetic recombination. In order to distinguish characteristic features for various populations we have implemented several methods, some of them borrowed or adapted from the analysis of nonlinear time series in statistical physics and quantitative physiology. We calculate the main fractal dimensions (Kolmogorov's capacity, information dimension and correlation dimension, usually named, D0, D1 and D2). We also have made detrended fluctuation analysis and information based similarity index calculations for the probability distribution of correlations of linkage disequilibrium coefficient of six recently admixed (mestizo) populations within the Mexican Genome Diversity Project [1] and for the non-recently admixed populations in the International HapMap Project [2]. Nonlinear correlations showed up as a consequence of internal structure within the haplotype distributions. The analysis of these correlations as well as the scope and limitations of these procedures within the biomedical sciences are discussed.

  7. Accounting for linkage disequilibrium in genome-wide association studies: A penalized regression method.

    PubMed

    Liu, Jin; Wang, Kai; Ma, Shuangge; Huang, Jian

    2013-01-01

    Penalized regression methods are becoming increasingly popular in genome-wide association studies (GWAS) for identifying genetic markers associated with disease. However, standard penalized methods such as LASSO do not take into account the possible linkage disequilibrium between adjacent markers. We propose a novel penalized approach for GWAS using a dense set of single nucleotide polymorphisms (SNPs). The proposed method uses the minimax concave penalty (MCP) for marker selection and incorporates linkage disequilibrium (LD) information by penalizing the difference of the genetic effects at adjacent SNPs with high correlation. A coordinate descent algorithm is derived to implement the proposed method. This algorithm is efficient in dealing with a large number of SNPs. A multi-split method is used to calculate the p-values of the selected SNPs for assessing their significance. We refer to the proposed penalty function as the smoothed MCP and the proposed approach as the SMCP method. Performance of the proposed SMCP method and its comparison with LASSO and MCP approaches are evaluated through simulation studies, which demonstrate that the proposed method is more accurate in selecting associated SNPs. Its applicability to real data is illustrated using heterogeneous stock mice data and a rheumatoid arthritis. PMID:25258655

  8. Dosage Transmission Disequilibrium Test (dTDT) for Linkage and Association Detection

    PubMed Central

    Zhang, Zhehao; Wang, Jen-Chyong; Howells, William; Lin, Peng; Agrawal, Arpana; Edenberg, Howard J.; Tischfield, Jay A.; Schuckit, Marc A.; Bierut, Laura J.; Goate, Alison; Rice, John P.

    2013-01-01

    Both linkage and association studies have been successfully applied to identify disease susceptibility genes with genetic markers such as microsatellites and Single Nucleotide Polymorphisms (SNPs). As one of the traditional family-based studies, the Transmission/Disequilibrium Test (TDT) measures the over-transmission of an allele in a trio from its heterozygous parents to the affected offspring and can be potentially useful to identify genetic determinants for complex disorders. However, there is reduced information when complete trio information is unavailable. In this study, we developed a novel approach to “infer” the transmission of SNPs by combining both the linkage and association data, which uses microsatellite markers from families informative for linkage together with SNP markers from the offspring who are genotyped for both linkage and a Genome-Wide Association Study (GWAS). We generalized the traditional TDT to process these inferred dosage probabilities, which we name as the dosage-TDT (dTDT). For evaluation purpose, we developed a simulation procedure to assess its operating characteristics. We applied the dTDT to the simulated data and documented the power of the dTDT under a number of different realistic scenarios. Finally, we applied our methods to a family study of alcohol dependence (COGA) and performed individual genotyping on complete families for the top signals. One SNP (rs4903712 on chromosome 14) remained significant after correcting for multiple testing Methods developed in this study can be adapted to other platforms and will have widespread applicability in genomic research when case-control GWAS data are collected in families with existing linkage data. PMID:23691058

  9. The genetic structure of natural populations of Drosophila melanogaster XIII. Further studies on linkage disequilibrium.

    PubMed

    Mukai, T; Voelker, R A

    1977-05-01

    The Raleigh, North Carolina, population of Drosophila melanogaster was examined for linkage disequilibrium in 1974, several years after previous analyses in 1968, 1969, and 1970. alphaglycerol-3-phosphate dehydrogenase-1 (alphaGpdh-1), malate dehydrogenase-1 (Mdh-1), alcohol dehydrogenase (Adh), and hexokinase-C (Hex-C, tentative name, F. M. Johnson, unpublished; position determined by the present authors to be 2-74.5) were assayed for 617 second chromosomes, and esterase-C (Est-C) and octanol dehydrogenase (Odh) were assayed for 526 third chromosomes. In addition, two polymorphic inversions in the second chromosomes [In(2L)t and In(2R)NS] were examined, and the following findings were obtained: (1) No linkage disequilibrium between isozyme genes was detected. Significant linkage disequilibria were found only between the polymorphic inversions and isozyme genes [In(2L)t vs. Adh, and In(2R)NS vs. Hex-C]. Significant disequilibrium was not detected between In(2L)t and alphaGpdh-1, which is included in the inversion, but a tendency toward disequilibrium was consistently found from 1968 to 1974. The frequency of two-strand double crossovers within inversion In(2L)t involving a single crossover on each side of alphaGpdh-1 was estimated to be 0.00022. Thus, the consistent but not significant linkage disequilibrium between the two factors can be explained by recombination after the inversion occurred. (2) Previously existing linkage disequilibrium between Adh and In(2R)NS (the distance is about 30 cM, but the effective recombination value is about 1.75%) was found to have disappeared. (3) No higher-order linkage disequilibrium was detected. (4) Linkage disequilibrium between Odh and Est-C (the distance of which was estimated to be 0.0058 +/- 0.002) could not be detected (chi(2) (df=1) = 0.9).-From the above results, it was concluded that linkage disequilibria among isozyme genes are very rare in D. melanogaster, so that the Franklin-Lewontin model (Franklin and Lewontin

  10. A comparison of genetic map distance and linkage disequilibrium between 15 polymorphic dinucleotide repeat loci in two populations

    SciTech Connect

    Urbanek, M.; Goldman, D.; Long, J.C.

    1994-09-01

    Linkage disequilibrium has recently been used to map the diastrophic dysplasia gene in a Finnish sample. One advantage of this method is that the large pedigrees required by some other methods are unnecessary. Another advantage is that linkage disequilibrium mapping capitalizes on the cumulative history of recombination events, rather than those occurring within the sampled individuals. A potential limitation of linkage disequilibrium mapping is that linkage equilibrium is likely to prevail in all but the most isolated populations, e.g., those which have recently experienced founder effects or severe population bottlenecks. In order to test the method`s generality, we examined patterns of linkage disequilibrium between pairs of loci within a known genetic map. Two populations were analyzed. The first population, Navajo Indians (N=45), is an isolate that experienced a severe bottleneck in the 1860`s. The second population, Maryland Caucasians (N=45), is cosmopolitan. We expected the Navajo sample to display more linkage disequilibrium than the Caucasian sample, and possibly that the Navajo disequilibrium pattern would reflect the genetic map. Linkage disequilibrium coefficients were estimated between pairs of alleles at different loci using maximum likelihood. The genetic isolate structure of Navajo Indians is confirmed by the DNA typings. Heterozygosity is lower than in the Caucasians, and fewer different alleles are observed. However, a relationship between genetic map distance and linkage disequilibrium could be discerned in neither the Navajo nor the Maryland samples. Slightly more linkage disequilibrium was observed in the Navajos, but both data sets were characterized by very low disequilibrium levels. We tentatively conclude that linkage disequilibrium mapping with dinucleotide repeats will only be useful with close linkage between markers and diseases, even in very isolated populations.

  11. An Initial Assessment of Genome-wide Linkage Disequilibrium in Soybean

    Technology Transfer Automated Retrieval System (TEKTRAN)

    Linkage disequilibrium (LD) is the "non-random association of alleles" and can be utilized through association analysis to discover quantitative trait loci (QTLs). The largest resource of soybean germplasm is the Asian landraces that are the most immediate result of domestication. Previously it ha...

  12. Linkage disequilibrium based association mapping of fiber quality traits in G. hirsutum L. variety germplasm

    Technology Transfer Automated Retrieval System (TEKTRAN)

    Cotton is the world’s leading cash crop, but it lags behind other major crops for marker-assisted breeding due to limited polymorphisms and a genetic bottleneck through historic domestication. Linkage disequilibrium (LD)-mapping using nonrandom associations of loci in haplotypes is a powerful high-r...

  13. Revealing misassembled segments in the bovine reference genome by high resolution linkage disequilibrium scan

    Technology Transfer Automated Retrieval System (TEKTRAN)

    Misassembly signatures, created by shuffling the order of sequences while assembling a genome, can be easily seen by analyzing the unexpected behaviour of the linkage disequilibrium (LD) decay. A heuristic process was proposed to identify those misassembly signatures and presented the ones found in ...

  14. Assessing signatures of selection through variation in linkage disequilibrium between taurine and indicine cattle

    Technology Transfer Automated Retrieval System (TEKTRAN)

    Signatures of selection are regions in the genome that have been preferentially maintained because of their functional importance in specific processes. These regions can be detected because of their lower genetic variability and specific regional linkage disequilibrium patterns. The varLD methodol...

  15. Extensive genetic diversity and low linkage disequilibrium within the COMT locus in maize exotic populations

    Technology Transfer Automated Retrieval System (TEKTRAN)

    The Caffeic acid 3-O-methytransferase (COMT) gene is a prime candidate for cell wall digestibility improvement based on the characterization of brown midrib-3 mutants. We compared the genetic diversity and linkage disequilibrium at COMT locus between populations sampled within the Germplasm Enhance...

  16. Population-Specific Patterns of Linkage Disequilibrium and SNP Variation in Spring and Winter Polyploid Wheat

    Technology Transfer Automated Retrieval System (TEKTRAN)

    Single nucleotide polymorphisms (SNPs) are ideally suited for the construction of high-resolution genetic maps, studying population evolutionary history and performing genome-wide association mapping experiments. Here we used a genome-wide set of 1536 SNPs to study linkage disequilibrium (LD) and po...

  17. A first insight into population structure and linkage disequilibrium in the US peanut minicore collection

    Technology Transfer Automated Retrieval System (TEKTRAN)

    Knowledge of genetic diversity, population structure, and degree of linkage disequilibrium (LD) in target association mapping populations is of great importance and is a prerequisite for LD-based mapping. In the present study, 96 genotypes comprising 92 accessions of the US peanut minicore collectio...

  18. Extent of linkage disequilibrium in large breed dogs: chromosomal and breed variation

    Technology Transfer Automated Retrieval System (TEKTRAN)

    Purpose: Understanding extent of linkage disequilibrium (LD) is a crucial component for successful utilization of genome-wide association studies (GWAS). The extent of LD in the dog has been described based upon small marker sets in multiple breeds and studies. Understanding variation in LD on a per...

  19. Genome-wide distribution of genetic diversity and linkage disequilibrium in elite sugar beet germplasm

    PubMed Central

    2011-01-01

    Background Characterization of population structure and genetic diversity of germplasm is essential for the efficient organization and utilization of breeding material. The objectives of this study were to (i) explore the patterns of population structure in the pollen parent heterotic pool using different methods, (ii) investigate the genome-wide distribution of genetic diversity, and (iii) assess the extent and genome-wide distribution of linkage disequilibrium (LD) in elite sugar beet germplasm. Results A total of 264 and 238 inbred lines from the yield type and sugar type inbreds of the pollen parent heterotic gene pools, respectively, which had been genotyped with 328 SNP markers, were used in this study. Two distinct subgroups were detected based on different statistical methods within the elite sugar beet germplasm set, which was in accordance with its breeding history. MCLUST based on principal components, principal coordinates, or lapvectors had high correspondence with the germplasm type information as well as the assignment by STRUCTURE, which indicated that these methods might be alternatives to STRUCTURE for population structure analysis. Gene diversity and modified Roger's distance between the examined germplasm types varied considerably across the genome, which might be due to artificial selection. This observation indicates that population genetic approaches could be used to identify candidate genes for the traits under selection. Due to the fact that r2 >0.8 is required to detect marker-phenotype association explaining less than 1% of the phenotypic variance, our observation of a low proportion of SNP loci pairs showing such levels of LD suggests that the number of markers has to be dramatically increased for powerful genome-wide association mapping. Conclusions We provided a genome-wide distribution map of genetic diversity and linkage disequilibrium for the elite sugar beet germplasm, which is useful for the application of genome-wide association

  20. A rapid method of haplotyping HFE mutations and linkage disequilibrium in a Caucasoid population

    PubMed Central

    Mullighan, C; Bunce, M; Fanning, G; Marshall, S; Welsh, K

    1998-01-01

    Background—HFE mutations are associated with hereditary haemochromatosis. However, a simple method capable of demonstrating the cis/trans arrangement of alleles is lacking, and linkage disequilibrium between HFE alleles and classic HLA loci is unknown. These are important issues as the pathogenic role of the mutations is not known. 
Aims—To develop a simple method of genotyping HFE mutations suitable for clinical use in addition to large disease studies. 
Patients—A total of 330 Caucasoid cadaveric organ donor controls were examined. Ten individuals previously HLA-H genotyped by polymerase chain reaction using restriction fragment length polymorphism (PCR-RFLP) were also examined to validate the method. 
Methods—A simple polymerase chain reaction using sequence specific primers (PCR-SSP) capable of haplotyping the mutations was developed. HFE allele and haplotype frequencies and linkage disequilibrium with eight HLA class I and II loci were examined in the control population. 
Results—27% and 19.7% of patients were positive for the 63D and 282Y alleles, respectively. No chromosome carried both 63D and 282Y. Linkage disequilibrium between 282Y and HLA-A*03 was confirmed, but was not straightforward: some A*03-associated alleles (DRB1*15, DQB1*06), but not all (B*07, Cw*0702), were associated with 282Y. 
Conclusions—Linkage disequilibrium data suggest that an HLA-B*07 containing haplotype contains an element affording protection from haemochromatosis and may suggest the timing of the founder 282Y mutation. 

 Keywords: HFE; haemochromatosis; PCR-SSP; linkage disequilibrium PMID:9616322

  1. Does probabilistic modelling of linkage disequilibrium evolution improve the accuracy of QTL location in animal pedigree?

    PubMed Central

    2010-01-01

    Background Since 2001, the use of more and more dense maps has made researchers aware that combining linkage and linkage disequilibrium enhances the feasibility of fine-mapping genes of interest. So, various method types have been derived to include concepts of population genetics in the analyses. One major drawback of many of these methods is their computational cost, which is very significant when many markers are considered. Recent advances in technology, such as SNP genotyping, have made it possible to deal with huge amount of data. Thus the challenge that remains is to find accurate and efficient methods that are not too time consuming. The study reported here specifically focuses on the half-sib family animal design. Our objective was to determine whether modelling of linkage disequilibrium evolution improved the mapping accuracy of a quantitative trait locus of agricultural interest in these populations. We compared two methods of fine-mapping. The first one was an association analysis. In this method, we did not model linkage disequilibrium evolution. Therefore, the modelling of the evolution of linkage disequilibrium was a deterministic process; it was complete at time 0 and remained complete during the following generations. In the second method, the modelling of the evolution of population allele frequencies was derived from a Wright-Fisher model. We simulated a wide range of scenarios adapted to animal populations and compared these two methods for each scenario. Results Our results indicated that the improvement produced by probabilistic modelling of linkage disequilibrium evolution was not significant. Both methods led to similar results concerning the location accuracy of quantitative trait loci which appeared to be mainly improved by using four flanking markers instead of two. Conclusions Therefore, in animal half-sib designs, modelling linkage disequilibrium evolution using a Wright-Fisher model does not significantly improve the accuracy of the

  2. Constructing a linkage–linkage disequilibrium map using dominant-segregating markers

    PubMed Central

    Zhu, Xuli; Dong, Leiming; Jiang, Libo; Li, Huan; Sun, Lidan; Zhang, Hui; Yu, Weiwu; Liu, Haokai; Dai, Wensheng; Zeng, Yanru; Wu, Rongling

    2016-01-01

    The relationship between linkage disequilibrium (LD) and recombination fraction can be used to infer the pattern of genetic variation and evolutionary process in humans and other systems. We described a computational framework to construct a linkage–LD map from commonly used biallelic, single-nucleotide polymorphism (SNP) markers for outcrossing plants by which the decline of LD is visualized with genetic distance. The framework was derived from an open-pollinated (OP) design composed of plants randomly sampled from a natural population and seeds from each sampled plant, enabling simultaneous estimation of the LD in the natural population and recombination fraction due to allelic co-segregation during meiosis. We modified the framework to infer evolutionary pasts of natural populations using those marker types that are segregating in a dominant manner, given their role in creating and maintaining population genetic diversity. A sophisticated two-level EM algorithm was implemented to estimate and retrieve the missing information of segregation characterized by dominant-segregating markers such as single methylation polymorphisms. The model was applied to study the relationship between linkage and LD for a non-model outcrossing species, a gymnosperm species, Torreya grandis, naturally distributed in mountains of the southeastern China. The linkage–LD map constructed from various types of molecular markers opens a powerful gateway for studying the history of plant evolution. PMID:26622063

  3. Transmission test for linkage disequilibrium: The insulin gene region and insulin-dependent diabetes mellitus (IDDM)

    SciTech Connect

    Spielman, R.S.; McGinnis, R.E. ); Ewens, W.J. )

    1993-03-01

    A population association has consistently been observed between insulin-dependent diabetes mellitus (IDDM) and the class 1 alleles of the region of tandem-repeat DNA (5[prime] flanking polymorphism [5[prime]FP])adjacent to the insulin gene on chromosome 11p. This finding suggests that the insulin gene region contains a gene or genes contributing to IDDM susceptibility. However, several studies that have sought to show linkage with IDDM by testing for cosegregation in affected sib pairs have failed to find evidence for linkage. As means for identifying genes for complex diseases, both the association and the affected-sib-pairs approaches have limitations. It is well known that population association between a disease and a genetic marker can arise as an artifact of population structure, even in the absence of linkage. On the other hand, linkage studies with modest numbers of affected sib pairs may fail to detect linkage, especially if there is linkage heterogeneity. The authors consider an alternative method to test for linkage with a genetic marker when population association has been found. Using data from families with at least one affected child, they evaluate the transmission of the associated marker allele from a heterozygous parent to an affected offspring. This approach has been used by several investigators, but the statistical properties of the method as a test for linkage have not been investigated. In the present paper they describe the statistical basis for this transmission test for linkage disequilibrium (transmission/disequilibrium test [TDT]). They then show the relationship of this test to tests of cosegregation that are based on the proportion of haplotypes or genes identical by descent in affected sibs. The TDT provides strong evidence for linkage between the 5[prime]FP and susceptibility to IDDM. 27 refs., 6 tabs.

  4. A haplotype-based algorithm for multilocus linkage disequilibrium mapping of quantitative trait loci with epistasis.

    PubMed Central

    Lou, Xiang-Yang; Casella, George; Littell, Ramon C; Yang, Mark C K; Johnson, Julie A; Wu, Rongling

    2003-01-01

    For tightly linked loci, cosegregation may lead to nonrandom associations between alleles in a population. Because of its evolutionary relationship with linkage, this phenomenon is called linkage disequilibrium. Today, linkage disequilibrium-based mapping has become a major focus of recent genome research into mapping complex traits. In this article, we present a new statistical method for mapping quantitative trait loci (QTL) of additive, dominant, and epistatic effects in equilibrium natural populations. Our method is based on haplotype analysis of multilocus linkage disequilibrium and exhibits two significant advantages over current disequilibrium mapping methods. First, we have derived closed-form solutions for estimating the marker-QTL haplotype frequencies within the maximum-likelihood framework implemented by the EM algorithm. The allele frequencies of putative QTL and their linkage disequilibria with the markers are estimated by solving a system of regular equations. This procedure has significantly improved the computational efficiency and the precision of parameter estimation. Second, our method can detect marker-QTL disequilibria of different orders and QTL epistatic interactions of various kinds on the basis of a multilocus analysis. This can not only enhance the precision of parameter estimation, but also make it possible to perform whole-genome association studies. We carried out extensive simulation studies to examine the robustness and statistical performance of our method. The application of the new method was validated using a case study from humans, in which we successfully detected significant QTL affecting human body heights. Finally, we discuss the implications of our method for genome projects and its extension to a broader circumstance. The computer program for the method proposed in this article is available at the webpage http://www.ifasstat.ufl.edu/genome/~LD. PMID:12702696

  5. Selection of Genetic Markers for Association Analyses, Using Linkage Disequilibrium and Haplotypes

    PubMed Central

    Meng, Zhaoling; Zaykin, Dmitri V.; Xu, Chun-Fang; Wagner, Michael; Ehm, Margaret G.

    2003-01-01

    The genotyping of closely spaced single-nucleotide polymorphism (SNP) markers frequently yields highly correlated data, owing to extensive linkage disequilibrium (LD) between markers. The extent of LD varies widely across the genome and drives the number of frequent haplotypes observed in small regions. Several studies have illustrated the possibility that LD or haplotype data could be used to select a subset of SNPs that optimize the information retained in a genomic region while reducing the genotyping effort and simplifying the analysis. We propose a method based on the spectral decomposition of the matrices of pairwise LD between markers, and we select markers on the basis of their contributions to the total genetic variation. We also modify Clayton’s “haplotype tagging SNP” selection method, which utilizes haplotype information. For both methods, we propose sliding window–based algorithms that allow the methods to be applied to large chromosomal regions. Our procedures require genotype information about a small number of individuals for an initial set of SNPs and selection of an optimum subset of SNPs that could be efficiently genotyped on larger numbers of samples while retaining most of the genetic variation in samples. We identify suitable parameter combinations for the procedures, and we show that a sample size of 50–100 individuals achieves consistent results in studies of simulated data sets in linkage equilibrium and LD. When applied to experimental data sets, both procedures were similarly effective at reducing the genotyping requirement while maintaining the genetic information content throughout the regions. We also show that haplotype-association results that Hosking et al. obtained near CYP2D6 were almost identical before and after marker selection. PMID:12796855

  6. Mapping by admixture linkage disequilibrium in human populations: limits and guidelines.

    PubMed Central

    Stephens, J. C.; Briscoe, D.; O'Brien, S. J.

    1994-01-01

    Certain human hereditary conditions, notably those with low penetrance and those which require an environmental event such as infectious disease exposure, are difficult to localize in pedigree analysis, because of uncertainty in the phenotype of an affected patient's relatives. An approach to locating these genes in human cohort studies would be to use association analysis, which depends on linkage disequilibrium of flanking polymorphic DNA markers. In theory, a high degree of linkage disequilibrium between genes separated by 10-20 cM will be generated and persist in populations that have a history of recent (3-20 generations ago) admixture between genetically differentiated racial groups, such as has occurred in African Americans and Hispanic populations. We have conducted analytic and computer simulations to quantify the effect of genetic, genomic, and population parameters that affect the amount and ascertainment of linkage disequilibrium in populations with a history of genetic admixture. Our goal is to thoroughly explore the ranges of all relevant parameters or factors (e.g., sample size and degree of genetic differentiation between populations) that may be involved in gene localization studies, in hopes of prescribing guidelines for an efficient mapping strategy. The results provide reasonable limits on sample size (200-300 patients), marker number (200-300 in 20-cM intervals), and allele differentiation (loci with allele frequency difference of > or = .3 between admixed parent populations) to produce an efficient approach (> 95% ascertainment) for locating genes not easily tracked in human pedigrees. PMID:7942858

  7. Accuracy of Genomic Prediction in Switchgrass (Panicum virgatum L.) Improved by Accounting for Linkage Disequilibrium.

    PubMed

    Ramstein, Guillaume P; Evans, Joseph; Kaeppler, Shawn M; Mitchell, Robert B; Vogel, Kenneth P; Buell, C Robin; Casler, Michael D

    2016-01-01

    Switchgrass is a relatively high-yielding and environmentally sustainable biomass crop, but further genetic gains in biomass yield must be achieved to make it an economically viable bioenergy feedstock. Genomic selection (GS) is an attractive technology to generate rapid genetic gains in switchgrass, and meet the goals of a substantial displacement of petroleum use with biofuels in the near future. In this study, we empirically assessed prediction procedures for genomic selection in two different populations, consisting of 137 and 110 half-sib families of switchgrass, tested in two locations in the United States for three agronomic traits: dry matter yield, plant height, and heading date. Marker data were produced for the families' parents by exome capture sequencing, generating up to 141,030 polymorphic markers with available genomic-location and annotation information. We evaluated prediction procedures that varied not only by learning schemes and prediction models, but also by the way the data were preprocessed to account for redundancy in marker information. More complex genomic prediction procedures were generally not significantly more accurate than the simplest procedure, likely due to limited population sizes. Nevertheless, a highly significant gain in prediction accuracy was achieved by transforming the marker data through a marker correlation matrix. Our results suggest that marker-data transformations and, more generally, the account of linkage disequilibrium among markers, offer valuable opportunities for improving prediction procedures in GS. Some of the achieved prediction accuracies should motivate implementation of GS in switchgrass breeding programs. PMID:26869619

  8. Accuracy of Genomic Prediction in Switchgrass (Panicum virgatum L.) Improved by Accounting for Linkage Disequilibrium

    PubMed Central

    Ramstein, Guillaume P.; Evans, Joseph; Kaeppler, Shawn M.; Mitchell, Robert B.; Vogel, Kenneth P.; Buell, C. Robin; Casler, Michael D.

    2016-01-01

    Switchgrass is a relatively high-yielding and environmentally sustainable biomass crop, but further genetic gains in biomass yield must be achieved to make it an economically viable bioenergy feedstock. Genomic selection (GS) is an attractive technology to generate rapid genetic gains in switchgrass, and meet the goals of a substantial displacement of petroleum use with biofuels in the near future. In this study, we empirically assessed prediction procedures for genomic selection in two different populations, consisting of 137 and 110 half-sib families of switchgrass, tested in two locations in the United States for three agronomic traits: dry matter yield, plant height, and heading date. Marker data were produced for the families’ parents by exome capture sequencing, generating up to 141,030 polymorphic markers with available genomic-location and annotation information. We evaluated prediction procedures that varied not only by learning schemes and prediction models, but also by the way the data were preprocessed to account for redundancy in marker information. More complex genomic prediction procedures were generally not significantly more accurate than the simplest procedure, likely due to limited population sizes. Nevertheless, a highly significant gain in prediction accuracy was achieved by transforming the marker data through a marker correlation matrix. Our results suggest that marker-data transformations and, more generally, the account of linkage disequilibrium among markers, offer valuable opportunities for improving prediction procedures in GS. Some of the achieved prediction accuracies should motivate implementation of GS in switchgrass breeding programs. PMID:26869619

  9. Species Discrimination, Population Structure and Linkage Disequilibrium in Eucalyptus camaldulensis and Eucalyptus tereticornis Using SSR Markers

    PubMed Central

    Arumugasundaram, Shanmugapriya; Ghosh, Modhumita; Veerasamy, Sivakumar; Ramasamy, Yasodha

    2011-01-01

    Eucalyptus camaldulensis and E. tereticornis are closely related species commonly cultivated for pulp wood in many tropical countries including India. Understanding the genetic structure and linkage disequilibrium (LD) existing in these species is essential for the improvement of industrially important traits. Our goal was to evaluate the use of simple sequence repeat (SSR) loci for species discrimination, population structure and LD analysis in these species. Investigations were carried out with the most common alleles in 93 accessions belonging to these two species using 62 SSR markers through cross amplification. The polymorphic information content (PIC) ranged from 0.44 to 0.93 and 0.36 to 0.93 in E. camaldulensis and E. tereticornis respectively. A clear delineation between the two species was evident based on the analysis of population structure and species-specific alleles. Significant genotypic LD was found in E. camaldulensis, wherein out of 135 significant pairs, 17 pairs showed r2≥0.1. Similarly, in E. tereticornis, out of 136 significant pairs, 18 pairs showed r2≥0.1. The extent of LD decayed rapidly showing the significance of association analyses in eucalypts with higher resolution markers. The availability of whole genome sequence for E. grandis and the synteny and co-linearity in the genome of eucalypts, will allow genome-wide genotyping using microsatellites or single nucleotide polymorphims. PMID:22163287

  10. Genetic Characterization and Linkage Disequilibrium Estimation of a Global Maize Collection Using SNP Markers

    PubMed Central

    Yan, Jianbing; Shah, Trushar; Warburton, Marilyn L.; Buckler, Edward S.; McMullen, Michael D.; Crouch, Jonathan

    2009-01-01

    A newly developed maize Illumina GoldenGate Assay with 1536 SNPs from 582 loci was used to genotype a highly diverse global maize collection of 632 inbred lines from temperate, tropical, and subtropical public breeding programs. A total of 1229 informative SNPs and 1749 haplotypes within 327 loci was used to estimate the genetic diversity, population structure, and familial relatedness. Population structure identified tropical and temperate subgroups, and complex familial relationships were identified within the global collection. Linkage disequilibrium (LD) was measured overall and within chromosomes, allelic frequency groups, subgroups related by geographic origin, and subgroups of different sample sizes. The LD decay distance differed among chromosomes and ranged between 1 to 10 kb. The LD distance increased with the increase of minor allelic frequency (MAF), and with smaller sample sizes, encouraging caution when using too few lines in a study. The LD decay distance was much higher in temperate than in tropical and subtropical lines, because tropical and subtropical lines are more diverse and contain more rare alleles than temperate lines. A core set of inbreds was defined based on haplotypes, and 60 lines capture 90% of the haplotype diversity of the entire panel. The defined core sets and the entire collection can be used widely for different research targets. PMID:20041112

  11. An empiric comparison of linkage disequilibrium parameters in disease gene localizations; the myotonic dystrophy experience

    SciTech Connect

    Podolsky, L.; Baird, S.; Korneluk, R.G.

    1994-09-01

    Analyses of linkage disequilibrium (LD) between markers of known location and disease phenotypes often provide valuable information in efforts to clone the causative genes. However, there exist a number of factors which may attenuate a consistent inverse relationship between physical distance and LD for a given pairing of a genetic marker and a human disease gene. Chief among these is the effect of the general population frequency of an allele which demonstrates LD with a disease gene. Possibly as a result of this, a number of methods of calculating LD has been proposed. We have calculated seven such LD parameters for twelve physically mapped RFLP`s from a 1.3 Mb DM gene containing region of 19q13.3 using 107 DM and 213 non-DM chromosomes. Correlation of the DM-marker physical distance with LD for the 12 loci reveals the Yule coefficient and Dij{prime} parameter to give the most consistent relationship. The D{prime} parameter shown to have a relative allele frequency independence gave only a weak correlation. A similar analysis is being carried out on published cystic fibrosis genetic and physical mapping data. The parameters identified in this study may be the most appropriate for future LD based localizations of disease genes.

  12. Power of QTL mapping experiments in commercial Atlantic salmon populations, exploiting linkage and linkage disequilibrium and effect of limited recombination in males.

    PubMed

    Hayes, B J; Gjuvsland, A; Omholt, S

    2006-07-01

    Whereas detection and positioning of genes that affect quantitative traits (quantitative trait loci (QTL)) using linkage mapping uses only information from recombinants in the genotyped generations, linkage disequilibrium (LD) mapping uses historical recombinants. Thus, whereas linkage mapping requires large family sizes to detect and accurately position QTL, LD mapping is more dependent on the number of families sampled from the population. In commercial Atlantic salmon breeding programmes, only a small number of individuals per family are routinely phenotyped for traits such as disease resistance and meat colour. In this paper, we assess the power and accuracy of combined linkage disequilibrium linkage analysis (LDLA) to detect QTL in the commercial population using simulation. When 15 half-sib sire families (each sire mated to 30 dams, each dam with 10 progeny) were sampled from the population for genotyping, we were able to detect a QTL explaining 10% of the phenotypic variance in 85% of replicates and position this QTL within 3 cM of the true position in 70% of replicates. When recombination was absent in males, a feature of the salmon genome, power to detect QTL increased; however, the accuracy of positioning the QTL was decreased. By increasing the number of sire families sampled from the population to be genotyped to 30, we were able to increase both the proportion of QTL detected and correctly positioned (even with no recombination in males). QTL with much smaller effect could also be detected. The results suggest that even with the existing recording structure in commercial salmon breeding programmes, there is considerable power to detect and accurately position QTL using LDLA. PMID:16685283

  13. Genetic diversity and linkage disequilibrium in Drosophila melanogaster with different rates of development

    SciTech Connect

    Marinkovic, D.; Tucic, N.; Moya, A.; Ayala, F.J.

    1987-11-01

    The authors examined eight enzyme polymorphisms in groups of Drosophila melanogaster flies with fast, intermediate and slow development. The allelic frequencies are similar in all three developmental classes, but the distribution of the genotypes among the class is significantly heterogeneous for the three loci on the second chromosome. When the total sample of 300 individuals is examined, significant gametic disequilibrium appears in 3 out of 13 pairs of genes located on the same chromosome and in 4 out of 15 pairs of genes located on different chromosomes. This 25% incidence of disequilibrium between pairs of genes is larger than previously observed in other natural populations (but similar to the incidence observed in laboratory populations). The greater frequency of significant gametic disequilibrium in our study is probably due to the large number of genomes sampled. Some models specifically predict that individuals with faster rates of development (i.e., greater fitness) should be more heterozygous (and exhibit more linkage disequilibrium) than individuals with slower development. This hypothesis is not supported by our results.

  14. Markers for Mapping by Admixture Linkage Disequilibrium in African American and Hispanic Populations

    PubMed Central

    Smith, Michael W.; Lautenberger, James A.; Shin, Hyoung Doo; Chretien, Jean-Paul; Shrestha, Sadeep; Gilbert, Dennis A.; O’Brien, Stephen J.

    2001-01-01

    Population linkage disequilibrium occurs as a consequence of mutation, selection, genetic drift, and population substructure produced by admixture of genetically distinct ethnic populations. African American and Hispanic ethnic groups have a history of significant gene flow among parent groups, which can be of value in affecting genome scans for disease-gene discovery in the case-control and transmission/disequilibrium test designs. Disease-gene discovery using mapping by admixture linkage disequilibrium (MALD) requires a map of polymorphic markers that differentiate between the founding populations, along with differences in disease-gene allele frequencies. We describe markers appropriate for MALD mapping by assessing allele frequencies of 744 short tandem repeats (STRs) in African Americans, Hispanics, European Americans, and Asians, by choosing STR markers that have large differences in composite δ, log-likelihood ratios, and/or I*(2) for MALD. Additional markers can be added to this MALD map by utilization of the rapidly growing single-nucleotide–polymorphism databases and the literature, to achieve a 3–10-cM scanning scale. The map will be useful for studies of diseases, including prostate and breast cancer, diabetes, hypertension, and end-stage renal disease, that have large differences in incidence between the founding populations of either Hispanics or African Americans. PMID:11590548

  15. Multiple Linkage Disequilibrium Mapping Methods to Validate Additive Quantitative Trait Loci in Korean Native Cattle (Hanwoo).

    PubMed

    Li, Yi; Kim, Jong-Joo

    2015-07-01

    The efficiency of genome-wide association analysis (GWAS) depends on power of detection for quantitative trait loci (QTL) and precision for QTL mapping. In this study, three different strategies for GWAS were applied to detect QTL for carcass quality traits in the Korean cattle, Hanwoo; a linkage disequilibrium single locus regression method (LDRM), a combined linkage and linkage disequilibrium analysis (LDLA) and a BayesCπ approach. The phenotypes of 486 steers were collected for weaning weight (WWT), yearling weight (YWT), carcass weight (CWT), backfat thickness (BFT), longissimus dorsi muscle area, and marbling score (Marb). Also the genotype data for the steers and their sires were scored with the Illumina bovine 50K single nucleotide polymorphism (SNP) chips. For the two former GWAS methods, threshold values were set at false discovery rate <0.01 on a chromosome-wide level, while a cut-off threshold value was set in the latter model, such that the top five windows, each of which comprised 10 adjacent SNPs, were chosen with significant variation for the phenotype. Four major additive QTL from these three methods had high concordance found in 64.1 to 64.9Mb for Bos taurus autosome (BTA) 7 for WWT, 24.3 to 25.4Mb for BTA14 for CWT, 0.5 to 1.5Mb for BTA6 for BFT and 26.3 to 33.4Mb for BTA29 for BFT. Several candidate genes (i.e. glutamate receptor, ionotropic, ampa 1 [GRIA1], family with sequence similarity 110, member B [FAM110B], and thymocyte selection-associated high mobility group box [TOX]) may be identified close to these QTL. Our result suggests that the use of different linkage disequilibrium mapping approaches can provide more reliable chromosome regions to further pinpoint DNA makers or causative genes in these regions. PMID:26104396

  16. Multiple Linkage Disequilibrium Mapping Methods to Validate Additive Quantitative Trait Loci in Korean Native Cattle (Hanwoo)

    PubMed Central

    Li, Yi; Kim, Jong-Joo

    2015-01-01

    The efficiency of genome-wide association analysis (GWAS) depends on power of detection for quantitative trait loci (QTL) and precision for QTL mapping. In this study, three different strategies for GWAS were applied to detect QTL for carcass quality traits in the Korean cattle, Hanwoo; a linkage disequilibrium single locus regression method (LDRM), a combined linkage and linkage disequilibrium analysis (LDLA) and a BayesCπ approach. The phenotypes of 486 steers were collected for weaning weight (WWT), yearling weight (YWT), carcass weight (CWT), backfat thickness (BFT), longissimus dorsi muscle area, and marbling score (Marb). Also the genotype data for the steers and their sires were scored with the Illumina bovine 50K single nucleotide polymorphism (SNP) chips. For the two former GWAS methods, threshold values were set at false discovery rate <0.01 on a chromosome-wide level, while a cut-off threshold value was set in the latter model, such that the top five windows, each of which comprised 10 adjacent SNPs, were chosen with significant variation for the phenotype. Four major additive QTL from these three methods had high concordance found in 64.1 to 64.9Mb for Bos taurus autosome (BTA) 7 for WWT, 24.3 to 25.4Mb for BTA14 for CWT, 0.5 to 1.5Mb for BTA6 for BFT and 26.3 to 33.4Mb for BTA29 for BFT. Several candidate genes (i.e. glutamate receptor, ionotropic, ampa 1 [GRIA1], family with sequence similarity 110, member B [FAM110B], and thymocyte selection-associated high mobility group box [TOX]) may be identified close to these QTL. Our result suggests that the use of different linkage disequilibrium mapping approaches can provide more reliable chromosome regions to further pinpoint DNA makers or causative genes in these regions. PMID:26104396

  17. Use of linkage disequilibrium approaches to map genes for bipolar disorder in the Costa Rican population

    SciTech Connect

    Escamilla, M.A.; Reus, V.I.; Smith, L.B.; Freimer, N.B.

    1996-05-31

    Linkage disequilibrium (LD) analysis provides a powerful means for screening the genome to map the location of disease genes, such as those for bipolar disorder (BP). As described in this paper, the population of the Central Valley of Costa Rica, which is descended from a small number of founders, should be suitable for LD mapping; this assertion is supported by reconstruction of extended haplotypes shared by distantly related individuals in this population suffering low-frequency hearing loss (LFHL1), which has previously been mapped by linkage analysis. A sampling strategy is described for applying LD methods to map genes for BP, and clinical and demographic characteristics of an initially collected sample are discussed. This sample will provide a complement to a previously collected set of Costa Rican BP families which is under investigation using standard linkage analysis. 42 refs., 4 figs., 2 tabs.

  18. Linkage disequilibrium analysis of G-olf{sub {alpha}} (GNAL) in bipolar affective disorder

    SciTech Connect

    Tsiouris, S.J.; Breschel, T.S.; Xu, J.

    1996-09-20

    This study examines G-olf{sub {alpha}} as a possible candidate gene for susceptibility to bipolar affective disorder (BPAD) using the Transmission Disequilibrium Test (TDT). G-olf{sub {alpha}}, which encodes a subunit of a G-protein involved in intracellular signaling, maps within a region of chromosome 18 that has been implicated by two different linkage studies as a potential site of BPAD susceptibility loci. The expression pattern of G-olf{sub {alpha}} in the brain, its coupling to dopamine receptors, and the effects of lithium salts on G-proteins all support G-olf{sub {alpha}} as a candidate gene for BPAD. Our study population consisted of 106 probands and sibs with bipolar I disorder, with a median age-at-onset of 21.5 years ascertained from the United States. There was no evidence of linkage disequilibrium between BPAD and any of the observed G-olf{sub {alpha}} alleles in our sample. Division of families based on sex of the transmitting parent did not significantly change the results. This sample had good power (78%) to detect linkage disequilibrium with alleles conferring a relative risk equal to that estimated for the putative 18p locus (2.58). Our results do not support a major role for G-olf{sub {alpha}} as a susceptibility locus for BPAD in a substantial portion of our sample. Other genes lying near G-olf{sub {alpha}} within the linked region on chromosome 18 cannot be excluded by our data. This study illustrates the use of the TDT in evaluating candidate genes within linked chromosome regions. 24 refs., 1 tab.

  19. Accuracy of genomic prediction in switchgrass (Panicum virgatum L.) improved by accounting for linkage disequilibrium

    DOE PAGESBeta

    Ramstein, Guillaume P.; Evans, Joseph; Kaeppler, Shawn M.; Mitchell, Robert B.; Vogel, Kenneth P.; Buell, C. Robin; Casler, Michael D.

    2016-02-11

    Switchgrass is a relatively high-yielding and environmentally sustainable biomass crop, but further genetic gains in biomass yield must be achieved to make it an economically viable bioenergy feedstock. Genomic selection (GS) is an attractive technology to generate rapid genetic gains in switchgrass, and meet the goals of a substantial displacement of petroleum use with biofuels in the near future. In this study, we empirically assessed prediction procedures for genomic selection in two different populations, consisting of 137 and 110 half-sib families of switchgrass, tested in two locations in the United States for three agronomic traits: dry matter yield, plant height,more » and heading date. Marker data were produced for the families’ parents by exome capture sequencing, generating up to 141,030 polymorphic markers with available genomic-location and annotation information. We evaluated prediction procedures that varied not only by learning schemes and prediction models, but also by the way the data were preprocessed to account for redundancy in marker information. More complex genomic prediction procedures were generally not significantly more accurate than the simplest procedure, likely due to limited population sizes. Nevertheless, a highly significant gain in prediction accuracy was achieved by transforming the marker data through a marker correlation matrix. Our results suggest that marker-data transformations and, more generally, the account of linkage disequilibrium among markers, offer valuable opportunities for improving prediction procedures in GS. Furthermore, some of the achieved prediction accuracies should motivate implementation of GS in switchgrass breeding programs.« less

  20. Genomewide linkage disequilibrium mapping of severe bipolar disorder in a population isolate.

    PubMed

    Ophoff, Roel A; Escamilla, Michael A; Service, Susan K; Spesny, Mitzi; Meshi, Dar B; Poon, Wingman; Molina, Julio; Fournier, Eduardo; Gallegos, Alvaro; Mathews, Carol; Neylan, Thomas; Batki, Steven L; Roche, Erin; Ramirez, Margarita; Silva, Sandra; De Mille, Melissa C; Dong, Penny; Leon, Pedro E; Reus, Victor I; Sandkuijl, Lodewijk A; Freimer, Nelson B

    2002-09-01

    Genomewide association studies may offer the best promise for genetic mapping of complex traits. Such studies in outbred populations require very densely spaced single-nucleotide polymorphisms. In recently founded population isolates, however, extensive linkage disequilibrium (LD) may make these studies feasible with currently available sets of short tandem repeat markers, spaced at intervals as large as a few centimorgans. We report the results of a genomewide association study of severe bipolar disorder (BP-I), using patients from the isolated population of the central valley of Costa Rica. We observed LD with BP-I on several chromosomes; the most striking results were in proximal 8p, a region that has previously shown linkage to schizophrenia. This region could be important for severe psychiatric disorders, rather than for a specific phenotype. PMID:12119601

  1. Assessing the patterns of linkage disequilibrium in genic regions of the human genome.

    PubMed

    Sun, Peng; Zhang, Ruijie; Jiang, Yongshuai; Wang, Xing; Li, Jin; Lv, Hongchao; Tang, Guoping; Guo, Xiaodan; Meng, Xianwen; Zhang, Haikun; Zhang, Ruimin

    2011-10-01

    We used the genotyping data generated by the International HapMap Project to study the patterns of linkage disequilibrium (LD) in human genic regions. LD patterns for 11,998 genes from 11 HapMap populations were identified by analyzing the distribution of haplotype blocks. The genes were prioritized using LD levels. The results showed that there were significant differences in the degree of LD between genes. Genes with high or low LD (the upper and lower quartiles of the LD levels) fell into different Gene Ontology functional categories. The high LD genes clustered preferentially in the metabolic process, macromolecule localization and cell-cycle categories, whereas the low LD genes clustered in the developmental process, ion transport, and immune and regulation system categories. Furthermore, we subdivided the genic region into 3'-UTR, 5'-UTR and CDS (coding region), and compared the different LD patterns in these subregions. We found that the LD patterns in low LD genes had a more interspersed block structure compared with the high LD genes. This was especially true in the CDS and 5'-UTR. The extent of LD was somewhat higher in 5'-UTRs compared with 3'-UTRs for both high and low LD genes. In addition, we assessed the overlap for the intragenic LD regions and found that the LD regions in high LD genes were more consistent among populations. Comprehensive information about the distribution of LD patterns in gene regions in populations may provide insights into the evolutionary history of humans and help in the selection of biomarkers for disease association studies. PMID:21824289

  2. High rates of phasing errors in highly polymorphic species with low levels of linkage disequilibrium.

    PubMed

    Bukowicki, Marek; Franssen, Susanne U; Schlötterer, Christian

    2016-07-01

    Short read sequencing of diploid individuals does not permit the direct inference of the sequence on each of the two homologous chromosomes. Although various phasing software packages exist, they were primarily tailored for and tested on human data, which differ from other species in factors that influence phasing, such as SNP density, amounts of linkage disequilibrium (LD) and sample sizes. Despite becoming increasingly popular for other species, the reliability of phasing in non-human data has not been evaluated to a sufficient extent. We scrutinized the phasing accuracy for Drosophila melanogaster, a species with high polymorphism levels and reduced LD relative to humans. We phased two D. melanogaster populations and compared the results to the known haplotypes. The performance increased with size of the reference panel and was highest when the reference panel and phased individuals were from the same population. Full genomic SNP data and inclusion of sequence read information also improved phasing. Despite humans and Drosophila having similar switch error rates between polymorphic sites, the distances between switch errors were much shorter in Drosophila with only fragments <300-1500 bp being correctly phased with ≥95% confidence. This suggests that the higher SNP density cannot compensate for the higher recombination rate in D. melanogaster. Furthermore, we show that populations that have gone through demographic events such as bottlenecks can be phased with higher accuracy. Our results highlight that statistically phased data are particularly error prone in species with large population sizes or populations lacking suitable reference panels. PMID:26929272

  3. A general model for likelihood computations of genetic marker data accounting for linkage, linkage disequilibrium, and mutations.

    PubMed

    Kling, Daniel; Tillmar, Andreas; Egeland, Thore; Mostad, Petter

    2015-09-01

    Several applications necessitate an unbiased determination of relatedness, be it in linkage or association studies or in a forensic setting. An appropriate model to compute the joint probability of some genetic data for a set of persons given some hypothesis about the pedigree structure is then required. The increasing number of markers available through high-density SNP microarray typing and NGS technologies intensifies the demand, where using a large number of markers may lead to biased results due to strong dependencies between closely located loci, both within pedigrees (linkage) and in the population (allelic association or linkage disequilibrium (LD)). We present a new general model, based on a Markov chain for inheritance patterns and another Markov chain for founder allele patterns, the latter allowing us to account for LD. We also demonstrate a specific implementation for X chromosomal markers that allows for computation of likelihoods based on hypotheses of alleged relationships and genetic marker data. The algorithm can simultaneously account for linkage, LD, and mutations. We demonstrate its feasibility using simulated examples. The algorithm is implemented in the software FamLinkX, providing a user-friendly GUI for Windows systems (FamLinkX, as well as further usage instructions, is freely available at www.famlink.se ). Our software provides the necessary means to solve cases where no previous implementation exists. In addition, the software has the possibility to perform simulations in order to further study the impact of linkage and LD on computed likelihoods for an arbitrary set of markers. PMID:25425094

  4. Haplotype Analysis and Linkage Disequilibrium at Five Loci in Eragrostis tef.

    PubMed

    Smith, Shavannor M; Yuan, Yinan; Doust, Andrew N; Bennetzen, Jeffrey L

    2012-03-01

    Eragrostis tef (Zucc.), a member of the Chloridoideae subfamily of grasses, is one of the most important food crops in Ethiopia. Lodging is the most important production problem in tef. The rht1 and sd1 dwarfing genes have been useful for improving lodging resistance in wheat and rice, respectively, in what has been known as the "Green Revolution." All homologs of rht1 and sd1 were cloned and sequenced from 31 tef accessions collected from across Ethiopia. The allotetraploid tef genome was found to carry two rht1 homologs. From sequence variation between these two putative homologs, an approximate ancestral divergence date of 6.4 million years ago was calculated for the two genomes within tef. Three sd1 homologs were identified in tef, with unknown orthologous/paralogous relationships. The genetic diversity in the 31 studied accessions was organized into a relatively small number of haplotypes (2-4) for four of these genes, whereas one rht1 homeologue exhibited 10 haplotypes. A low level of nucleotide diversity was observed at all loci. Linkage disequilibrium analysis demonstrated strong linkage disequilibrium, extending the length of the five genes investigated (2-4 kb), with no significant decline. There was no significant correlation between haplotypes of any of these genes and their recorded site of origin. PMID:22413094

  5. Assessing signatures of selection through variation in linkage disequilibrium between taurine and indicine cattle

    PubMed Central

    2014-01-01

    Background Signatures of selection are regions in the genome that have been preferentially increased in frequency and fixed in a population because of their functional importance in specific processes. These regions can be detected because of their lower genetic variability and specific regional linkage disequilibrium (LD) patterns. Methods By comparing the differences in regional LD variation between dairy and beef cattle types, and between indicine and taurine subspecies, we aim at finding signatures of selection for production and adaptation in cattle breeds. The VarLD method was applied to compare the LD variation in the autosomal genome between breeds, including Angus and Brown Swiss, representing taurine breeds, and Nelore and Gir, representing indicine breeds. Genomic regions containing the top 0.01 and 0.1 percentile of signals were characterized using the UMD3.1 Bos taurus genome assembly to identify genes in those regions and compared with previously reported selection signatures and regions with copy number variation. Results For all comparisons, the top 0.01 and 0.1 percentile included 26 and 165 signals and 17 and 125 genes, respectively, including TECRL, BT.23182 or FPPS, CAST, MYOM1, UVRAG and DNAJA1. Conclusions The VarLD method is a powerful tool to identify differences in linkage disequilibrium between cattle populations and putative signatures of selection with potential adaptive and productive importance. PMID:24592996

  6. Evidence of linkage disequilibrium in the Spanish polycystic kidney disease 1 population

    SciTech Connect

    Peral, B.; Ward, C.J.; Thomas, S.; Harris, P.C. ); Stallings, R.L. ); San Millan, J.L.; Moreno, F.

    1994-05-01

    Forty-one Spanish families with polycystic kidney disease 1 (PKD1) were studied for evidence of linkage disequilibrium between the disease locus and six closely linked markers. Four of these loci - three highly polymorphic microsatellites (SM6, CW3, and CW2) and a RFLP marker (BLu24) - are described for the first time in this report. Overall the results reveal many different haplotypes on the disease-carrying chromosome, suggesting a variety of independent PKD1 mutations. However, linkage disequilibrium was found between BLu24 and PKD1, and this was corroborated by haplotype analysis including the microsatellite polymorphisms. From this analysis a group of closely related haplotypes, consisting of four markers, was found on 40% of PKD1 chromosomes, although markers flanking this homogeneous region showed greater variability. This study has highlighted an interesting subpopulation of Spanish PKD1 chromosomes, many of which have a common origin, that may be useful for localizing the PKD1 locus more precisely. 37 refs., 1 fig., 4 tabs.

  7. Linkage Disequilibrium on the Bovine X Chromosome: Characterization and Use in Quantitative Trait Locus Mapping

    PubMed Central

    Sandor, Cynthia; Farnir, Frédéric; Hansoul, Sarah; Coppieters, Wouter; Meuwissen, Théo; Georges, Michel

    2006-01-01

    We herein demonstrate that in the Holstein–Friesian dairy cattle population, microsatellites are as polymorphic on the X chromosome as on the autosomes but that the level of linkage disequilibrium between these markers is higher on the X chromosome than on the autosomes. The latter observation is not compatible with the small male-to-female ratio that prevails in this population and results in a higher gonosomal than autosomal effective population size. It suggests that the X chromosome undergoes distinct selective or mutational forces. We describe and characterize a novel Markovian approach to exploit this linkage disequilibrium to compute the probability that two chromosomes are identical-by-descent conditional on flanking marker data. We use the ensuing probabilities in a restricted maximum-likelihood approach to search for quantitative trait loci (QTL) affecting 48 traits of importance to the dairy industry and provide evidence for the presence of QTL affecting 5 of these traits on the bovine X chromosome. PMID:16648641

  8. Linkage disequilibrium on the bovine X chromosome: characterization and use in quantitative trait locus mapping.

    PubMed

    Sandor, Cynthia; Farnir, Frédéric; Hansoul, Sarah; Coppieters, Wouter; Meuwissen, Théo; Georges, Michel

    2006-07-01

    We herein demonstrate that in the Holstein-Friesian dairy cattle population, microsatellites are as polymorphic on the X chromosome as on the autosomes but that the level of linkage disequilibrium between these markers is higher on the X chromosome than on the autosomes. The latter observation is not compatible with the small male-to-female ratio that prevails in this population and results in a higher gonosomal than autosomal effective population size. It suggests that the X chromosome undergoes distinct selective or mutational forces. We describe and characterize a novel Markovian approach to exploit this linkage disequilibrium to compute the probability that two chromosomes are identical-by-descent conditional on flanking marker data. We use the ensuing probabilities in a restricted maximum-likelihood approach to search for quantitative trait loci (QTL) affecting 48 traits of importance to the dairy industry and provide evidence for the presence of QTL affecting 5 of these traits on the bovine X chromosome. PMID:16648641

  9. Linkage disequilibrium network analysis (LDna) gives a global view of chromosomal inversions, local adaptation and geographic structure

    PubMed Central

    Kemppainen, Petri; Knight, Christopher G; Sarma, Devojit K; Hlaing, Thaung; Prakash, Anil; Maung Maung, Yan Naung; Somboon, Pradya; Mahanta, Jagadish; Walton, Catherine

    2015-01-01

    Recent advances in sequencing allow population-genomic data to be generated for virtually any species. However, approaches to analyse such data lag behind the ability to generate it, particularly in nonmodel species. Linkage disequilibrium (LD, the nonrandom association of alleles from different loci) is a highly sensitive indicator of many evolutionary phenomena including chromosomal inversions, local adaptation and geographical structure. Here, we present linkage disequilibrium network analysis (LDna), which accesses information on LD shared between multiple loci genomewide. In LD networks, vertices represent loci, and connections between vertices represent the LD between them. We analysed such networks in two test cases: a new restriction-site-associated DNA sequence (RAD-seq) data set for Anopheles baimaii, a Southeast Asian malaria vector; and a well-characterized single nucleotide polymorphism (SNP) data set from 21 three-spined stickleback individuals. In each case, we readily identified five distinct LD network clusters (single-outlier clusters, SOCs), each comprising many loci connected by high LD. In A. baimaii, further population-genetic analyses supported the inference that each SOC corresponds to a large inversion, consistent with previous cytological studies. For sticklebacks, we inferred that each SOC was associated with a distinct evolutionary phenomenon: two chromosomal inversions, local adaptation, population-demographic history and geographic structure. LDna is thus a useful exploratory tool, able to give a global overview of LD associated with diverse evolutionary phenomena and identify loci potentially involved. LDna does not require a linkage map or reference genome, so it is applicable to any population-genomic data set, making it especially valuable for nonmodel species. PMID:25573196

  10. Linkage disequilibrium network analysis (LDna) gives a global view of chromosomal inversions, local adaptation and geographic structure.

    PubMed

    Kemppainen, Petri; Knight, Christopher G; Sarma, Devojit K; Hlaing, Thaung; Prakash, Anil; Maung Maung, Yan Naung; Somboon, Pradya; Mahanta, Jagadish; Walton, Catherine

    2015-09-01

    Recent advances in sequencing allow population-genomic data to be generated for virtually any species. However, approaches to analyse such data lag behind the ability to generate it, particularly in nonmodel species. Linkage disequilibrium (LD, the nonrandom association of alleles from different loci) is a highly sensitive indicator of many evolutionary phenomena including chromosomal inversions, local adaptation and geographical structure. Here, we present linkage disequilibrium network analysis (LDna), which accesses information on LD shared between multiple loci genomewide. In LD networks, vertices represent loci, and connections between vertices represent the LD between them. We analysed such networks in two test cases: a new restriction-site-associated DNA sequence (RAD-seq) data set for Anopheles baimaii, a Southeast Asian malaria vector; and a well-characterized single nucleotide polymorphism (SNP) data set from 21 three-spined stickleback individuals. In each case, we readily identified five distinct LD network clusters (single-outlier clusters, SOCs), each comprising many loci connected by high LD. In A. baimaii, further population-genetic analyses supported the inference that each SOC corresponds to a large inversion, consistent with previous cytological studies. For sticklebacks, we inferred that each SOC was associated with a distinct evolutionary phenomenon: two chromosomal inversions, local adaptation, population-demographic history and geographic structure. LDna is thus a useful exploratory tool, able to give a global overview of LD associated with diverse evolutionary phenomena and identify loci potentially involved. LDna does not require a linkage map or reference genome, so it is applicable to any population-genomic data set, making it especially valuable for nonmodel species. PMID:25573196

  11. The decay of linkage disequilibrium under random union of gametes: how to calculate Bennett's principal components.

    PubMed

    Dawson, K J

    2000-08-01

    How rapidly does an arbitrary pattern of statistical association among a set of loci decay under meiosis and random union of gametes? This problem is non-trivial, even in the case of an infinitely large population where selection and other forces are absent. J. H. Bennett (1954, Ann. Hum. Genet. 18, 311-317) found that, for an arbitrary number of loci with an arbitrary linkage map, it is possible to define measures of linkage disequilibrium that decay geometrically with time. He found a recursive method for deriving expressions for these variables in terms of "allelic moments" (the factorial moments about the origin of the "allelic indicators"), and expressions for the allelic moments in terms of his new variables. However, Bennett no where stated his recursive algorithm explicitly, nor did he give a general formula for his measures of linkage disequilibrium, for an arbitrary number of loci. Recursive definitions of Bennett's variables were obtained by Lyubich. However, the expressions generated by these recursions are not the same as those found by Bennett. (They do not express Bennett's variables as functions of the allelic moments.) Lyubich's derivations employ genetic algebras. Here, I present a method for obtaining explicit expressions for Bennett's variables in terms of the allelic moments. I show that the transformation from the allelic moments to Bennett's variables and the inverse transformation always have the form that Bennett claimed. (This transformation and its inverse have essentially the same form.) I present general recursions for calculating the coefficients in the forward transformation and the coefficients in the inverse transformation. My derivations involve combinatorial arguments and ordinary algebra only. The special case of unlinked loci is briefly discussed. PMID:10944472

  12. Genome-wide distribution of genetic diversity and linkage disequilibrium in a mass-selected population of maritime pine

    PubMed Central

    2014-01-01

    Background The accessibility of high-throughput genotyping technologies has contributed greatly to the development of genomic resources in non-model organisms. High-density genotyping arrays have only recently been developed for some economically important species such as conifers. The potential for using genomic technologies in association mapping and breeding depends largely on the genome wide patterns of diversity and linkage disequilibrium in current breeding populations. This study aims to deepen our knowledge regarding these issues in maritime pine, the first species used for reforestation in south western Europe. Results Using a new map merging algorithm, we first established a 1,712 cM composite linkage map (comprising 1,838 SNP markers in 12 linkage groups) by bringing together three already available genetic maps. Using rigorous statistical testing based on kernel density estimation and resampling we identified cold and hot spots of recombination. In parallel, 186 unrelated trees of a mass-selected population were genotyped using a 12k-SNP array. A total of 2,600 informative SNPs allowed to describe historical recombination, genetic diversity and genetic structure of this recently domesticated breeding pool that forms the basis of much of the current and future breeding of this species. We observe very low levels of population genetic structure and find no evidence that artificial selection has caused a reduction in genetic diversity. By combining these two pieces of information, we provided the map position of 1,671 SNPs corresponding to 1,192 different loci. This made it possible to analyze the spatial pattern of genetic diversity (H e ) and long distance linkage disequilibrium (LD) along the chromosomes. We found no particular pattern in the empirical variogram of H e across the 12 linkage groups and, as expected for an outcrossing species with large effective population size, we observed an almost complete lack of long distance LD. Conclusions These

  13. Novel microsatellite repeats (MSRs) and linkage disequilibrium analysis in the SMA region of 5q13.1

    SciTech Connect

    Yaraghi, Z.; Roy, N.; MacKenzie, A.E.

    1994-09-01

    The spinal muscular atrophies (SMA) are characterized by degeneration of the anterior horn cells of the spinal cord, leading to muscular atrophy associated with progressive paralysis. The gene involved in SMA has been mapped by linkage analysis to a region of 5q13.1 flanked centromerically by D5S435 and telomerically by D5S557. We are in the process of identifying new microsatellite repeats to further define the genetic map of the SMA region. A contiguous array of YAC clones covering the SMA containing D5S435-D56S112 interval of 5q13.1 was established. From this contig, a 700 kb clone 76C1, which contains the 200 kb CMS-1/CATT-1 critical region, was used to generate a partial Sau3A1 phage library. We have previously shown that 2 CATT-1 subloci are in linkage disequilibrium with type I SMA. The 76C1 subloci are in linkage disequilibrium with type I SMA. The 76C1 phage library has been screened for human MSRs. To date we have identified two novel polymorphic microsatellites and four further candidates are being characterized. Results of linkage disequilibrium studies currently underway will be presented. The identification of a linkage disequilibrium maximum will be helpful in the further narrowing of the SMA region.

  14. High nucleotide diversity and limited linkage disequilibrium in Helicoverpa armigera facilitates the detection of a selective sweep.

    PubMed

    Song, S V; Downes, S; Parker, T; Oakeshott, J G; Robin, C

    2015-11-01

    Insecticides impose extreme selective pressures on populations of target pests and so insecticide resistance loci of these species may provide the footprints of 'selective sweeps'. To lay the foundation for future genome-wide scans for selective sweeps and inform genome-wide association study designs, we set out to characterize some of the baseline population genomic parameters of one of the most damaging insect pests in agriculture worldwide, Helicoverpa armigera. To this end, we surveyed nine Z-linked loci in three Australian H. armigera populations. We find that estimates of π are in the higher range among other insects and linkage disequilibrium decays over short distances. One of the surveyed loci, a cytochrome P450, shows an unusual haplotype configuration with a divergent allele at high frequency that led us to investigate the possibility of an adaptive introgression around this locus. PMID:26174024

  15. A linkage disequilibrium perspective on the genetic mosaic of speciation in two hybridizing Mediterranean white oaks

    PubMed Central

    Goicoechea, P G; Herrán, A; Durand, J; Bodénès, C; Plomion, C; Kremer, A

    2015-01-01

    We analyzed the genetic mosaic of speciation in two hybridizing Mediterranean white oaks from the Iberian Peninsula (Quercus faginea Lamb. and Quercus pyrenaica Willd.). The two species show ecological divergence in flowering phenology, leaf morphology and composition, and in their basic or acidic soil preferences. Ninety expressed sequence tag-simple sequence repeats (EST-SSRs) and eight nuclear SSRs were genotyped in 96 trees from each species. Genotyping was designed in two steps. First, we used 69 markers evenly distributed over the 12 linkage groups (LGs) of the oak linkage map to confirm the species genetic identity of the sampled genotypes, and searched for differentiation outliers. Then, we genotyped 29 additional markers from the chromosome bins containing the outliers and repeated the multilocus scans. We found one or two additional outliers within four saturated bins, thus confirming that outliers are organized into clusters. Linkage disequilibrium (LD) was extensive; even for loosely linked and for independent markers. Consequently, score tests for association between two-marker haplotypes and the ‘species trait' showed a broad genomic divergence, although substantial variation across the genome and within LGs was also observed. We discuss the influence of several confounding effects on neutrality tests and review the evolutionary processes leading to extensive LD. Finally, we examine how LD analyses within regions that contain outlier clusters and quantitative trait loci can help to identify regions of divergence and/or genomic hitchhiking in the light of predictions from ecological speciation theory. PMID:25515016

  16. An investigation of genetic heterogeneity and linkage disequilibrium in 161 families with spinal muscular atrophy

    SciTech Connect

    Merette, C.; Gilliam, T.C.; Brzustowicz, L.M. ); Daniels, R.J.; Davies, K.E. ); Melki, J.; Munnich, A. ); Pericak-Vance, M.A. ); Siddique, T. ); Voosen, B. )

    1994-05-01

    The authors performed linkage analysis of 161 families with spinal muscular atrophy (SMA) in which affected individuals suffer from the intermediate or mild form of the disease (Types II or III). Markers for six loci encompassing the chromosome 5q11.2-q13.3 region were typed. The best map location for the disease locus was found to be between D5S6 and MAP1B. The corresponding 1 lod unit support interval is confined to this interval and spans 0.5 cM. The data strongly support the hypothesis of linkage heterogeneity (likelihood ratio, 1.14 [times] 10[sup 4]), with 5% of the families unlinked. Four families have a probability of less than 50% of segregating the SMA gene linked to the region 5q11.2-q13.3. A likelihood approach to test for linkage disequilibrium revealed no significant departure from Hardy-Weinberg equilibrium with any marker under study. 28 refs., 4 figs., 3 tabs.

  17. Polymorphism, recombination, and linkage disequilibrium within the HLA class II region

    SciTech Connect

    Begovich, A.B.; McClure, G.R.; Suraj, V.C.; Helmuth, R.C.; Fildes, N.; Bugawan, T.L.; Erlich, H.A. ); Klitz, W. )

    1992-01-01

    Thirty-nine CEPH families, comprised of 502 individuals, have been typed for the HLA class II genes DRB1, DQA1, DQB1, and DPB1 using nonradioactive sequence-specific oligonucleotide probes to analyze polymerase chain reaction amplified DNA. This population, which consists of 266 independent chromosomes, contains 27 DRB1, 7 DQA1, 12 DQB1, and 17 DPB1 alleles. Analysis of the distribution of allele frequencies using the homozygosity statistic, which gives an indication of past selection pressures, suggests that balancing selection has acted on the DRB1, DQA1, and DQB1 loci. The distribution of DPB1 alleles, however, suggests a different evolutionary past. Family data permits the estimation of recombination rates and the unambiguous assignment of haplotypes. No recombinants were found between DRB1, DQA1, and DQB1; however, recombinants were detected between DQB1 and DPB1, resulting in an estimated recombination fraction of [ge]0.008 [+-] 0.004. Only 33 distinct DRB1-DQA1-DQB1 haplotypes were found in this population which illustrates the extreme nonrandom haplotypic association of alleles at these loci. A few of these haplotypes are unusual (previously unreported) for a Caucasian population and most likely result from past recombination events between the DR and DQ subregions. Examination of disequilibrium across the HLA region using these data and the available serologic HLA-A and HLA-B types of these samples shows that global disequilibrium between these loci declines with the recombination fraction, approaching statistic nonsignificance at the most distant interval, HLA-A and HLA-DP. DR-DQ haplotypes in linkage disequilibrium with DPB1 and B are noted and, finally, the evolutionary origin of certain class II haplotypes is addressed. 63 refs., 3 figs., 8 tabs.

  18. Refining the position of Wilson disease by linkage disequilibrium with polymorphic microsatellites

    SciTech Connect

    Bowcock, A.M.; Tomfohrde, J. ); Weissenbach, J. ); Bonne-Tamir, B.; George-Hyslop, P.; Giagheddu, M.; Cavalli-Sforza, L.L.; Farrer, L.A.

    1994-01-01

    Wilson disease (WND) is an autosomal recessive disorder that is due to an inability to the liver to eliminate copper. Copper buildup in the liver, brain, kidney, and other tissues can result in liver cirrhosis, neurologic and psychiatric defects, and other problems. The authors have localized the disease-containing region to between D13S31 and D13S59, with >70 multiply affected families, and have constructed a YAC contig of >4.5 Mb that spans these loci and orders nine highly polymorphic microsatellites. Here, the authors present an analysis of disequilibrium with markers in this interval and provide evidence for strong allelic associations between AFM084[times]c5 alleles and WND allels in European, Middle Eastern, and East Asian populations. Significant but weaker allelic associations were also observed between WND alleles and alleles at D13S137 and D13S169. The strength of the association between AFM084[times]c5 and WND in all non-Sardinian populations combined (linkage-disequilibrium coefficient [[theta

  19. Patterns of cyto-nuclear linkage disequilibrium in Silene latifolia: genomic heterogeneity and temporal stability

    PubMed Central

    Fields, P D; McCauley, D E; McAssey, E V; Taylor, D R

    2014-01-01

    Non-random association of alleles in the nucleus and cytoplasmic organelles, or cyto-nuclear linkage disequilibrium (LD), is both an important component of a number of evolutionary processes and a statistical indicator of others. The evolutionary significance of cyto-nuclear LD will depend on both its magnitude and how stable those associations are through time. Here, we use a longitudinal population genetic data set to explore the magnitude and temporal dynamics of cyto-nuclear disequilibria through time. We genotyped 135 and 170 individuals from 16 and 17 patches of the plant species Silene latifolia in Southwestern VA, sampled in 1993 and 2008, respectively. Individuals were genotyped at 14 highly polymorphic microsatellite markers and a single-nucleotide polymorphism (SNP) in the mitochondrial gene, atp1. Normalized LD (D′) between nuclear and cytoplasmic loci varied considerably depending on which nuclear locus was considered (ranging from 0.005–0.632). Four of the 14 cyto-nuclear associations showed a statistically significant shift over approximately seven generations. However, the overall magnitude of this disequilibrium was largely stable over time. The observed origin and stability of cyto-nuclear LD is most likely caused by the slow admixture between anciently diverged lineages within the species' newly invaded range, and the local spatial structure and metapopulation dynamics that are known to structure genetic variation in this system. PMID:24002238

  20. Refining the position of Wilson disease by linkage disequilibrium with polymorphic microsatellites.

    PubMed Central

    Bowcock, A. M.; Tomfohrde, J.; Weissenbach, J.; Bonne-Tamir, B.; St George-Hyslop, P.; Giagheddu, M.; Cavalli-Sforza, L. L.; Farrer, L. A.

    1994-01-01

    Wilson disease (WND) is an autosomal recessive disorder that is due to an inability of the liver to eliminate copper. Copper buildup in the liver, brain, kidney, and other tissues can result in liver cirrhosis, neurologic and psychiatric defects, and other problems. We have localized the disease-containing region to between D13S31 and D13S59, with > 70 multiply affected families, and have constructed a YAC contig of > 4.5 Mb that spans these loci and orders nine highly polymorphic microsatellites. Here we present an analysis of disequilibrium with markers in this interval and provide evidence for strong allelic associations between AFM084xc5 alleles and WND alleles in European, Middle Eastern, and East Asian populations. Significant but weaker allelic associations were also observed between WND alleles and alleles at D13S137 and D13S169. The strength of the association between AFM084xc5 and WND in all non-Sardinian populations combined (linkage-disequilibrium coefficient [phi] = .61) suggests that the number of mutations accounting for WND is less than expected on the basis of the variety of clinical symptoms that are observed. PMID:8279473

  1. Nucleotide Sequence Diversity and Linkage Disequilibrium of Four Nuclear Loci in Foxtail Millet (Setaria italica)

    PubMed Central

    He, Shui-lian; Yang, Yang; Morrell, Peter L.; Yi, Ting-shuang

    2015-01-01

    Foxtail millet (Setaria italica (L.) Beauv) is one of the earliest domesticated grains, which has been cultivated in northern China by 8,700 years before present (YBP) and across Eurasia by 4,000 YBP. Owing to a small genome and diploid nature, foxtail millet is a tractable model crop for studying functional genomics of millets and bioenergy grasses. In this study, we examined nucleotide sequence diversity, geographic structure, and levels of linkage disequilibrium at four nuclear loci (ADH1, G3PDH, IGS1 and TPI1) in representative samples of 311 landrace accessions across its cultivated range. Higher levels of nucleotide sequence and haplotype diversity were observed in samples from China relative to other sampled regions. Genetic assignment analysis classified the accessions into seven clusters based on nucleotide sequence polymorphisms. Intralocus LD decayed rapidly to half the initial value within ~1.2 kb or less. PMID:26325578

  2. MICA, MICB Polymorphisms and Linkage Disequilibrium with HLA-B in a Chinese Mongolian Population.

    PubMed

    Wang, W Y; Tian, W; Zhu, F M; Liu, X X; Li, L X; Wang, F

    2016-06-01

    In this study, polymorphisms of major histocompatibility complex class I chain-related genes A and B (MICA and MICB) and human leucocyte antigen (HLA)-B gene were investigated for 158 unrelated Chinese Mongolian subjects recruited from central Inner Mongolia Autonomous Region, northern China, by polymerase chain reaction-sequence-based typing (PCR-SBT) and cloning. Collectively, 79 alleles, including 20 MICA, 12 MICB and 47 HLA-B alleles, were identified. MICA*008:01 (21.2%), MICB*005:02 (48.1%) and HLA-B*51:01 (7.91%) were the most common alleles. Significant global linkage disequilibrium (LD) was detected between HLA-B and MICA, HLA-B and MICB, and MICA and MICB loci (all P < 0.000001). The most frequent haplotypes were HLA-B*51:01-MICA*009:01 (7.28%), HLA-B*58:01-MICB*008 (6.96%), MICA*010-MICB*005:02 (13.92%) and HLA-B*58:01-MICA*002:01-MICB*008 (6.96%). HLA-B-MICA haplotypes such as HLA-B*50:01-MICA*009:02 were associated with single MICB allele. Some HLA-B-MICA haplotypes were associated with multiple MICB alleles, including HLA-B*51:01-MICA*009:01. One novel MICB allele, MICB*031, was identified, which has possibly arisen from MICB*002:01 through single mutation event. We also confirmed the existence of a recently recognized MICA allele, MICA*073, whose ethnic origin has not been previously described. Genotype distributions at MICA, MICB and HLA-B were consistent with a neutrality model. Our results provide new insight into MIC genetic polymorphisms in Chinese ethnic groups. Findings shown here are important from an anthropologic perspective and will inform future studies of the potential role of MIC genes in allogeneic organ transplantation and HLA-linked disease association in populations of related ancestry. PMID:27028549

  3. An assessment of linkage disequilibrium in Holstein cattle using a Bayesian network.

    PubMed

    Morota, G; Valente, B D; Rosa, G J M; Weigel, K A; Gianola, D

    2012-12-01

    Linkage disequilibrium (LD) is defined as a non-random association of the distributions of alleles at different loci within a population. This association between loci is valuable in prediction of quantitative traits in animals and plants and in genome-wide association studies. A question that arises is whether standard metrics such as D' and r(2) reflect complex associations in a genetic system properly. It seems reasonable to take the view that loci associate and interact together as a system or network, as opposed to in a simple pairwise manner. We used a Bayesian network (BN) as a representation of choice for an LD network. A BN is a graphical depiction of a probability distribution and can represent sets of conditional independencies. Moreover, it provides a visual display of the joint distribution of the set of random variables in question. The usefulness of BN for linkage disequilibrium was explored and illustrated using genetic marker loci found to have the strongest effects on milk protein in Holstein cattle based on three strategies for ranking marker effect estimates: posterior means, standardized posterior means and additive genetic variance. Two different algorithms, Tabu search (a local score-based algorithm) and incremental association Markov blanket (a constraint-based algorithm), coupled with the chi-square test, were used for learning the structure of the BN and were compared with the reference r(2) metric represented as an LD heat map. The BN captured several genetic markers associated as clusters, implying that markers are inter-related in a complicated manner. Further, the BN detected conditionally dependent markers. The results confirm that LD relationships are of a multivariate nature and that r(2) gives an incomplete description and understanding of LD. Use of an LD Bayesian network enables inferring associations between loci in a systems framework and provides a more accurate picture of LD than that resulting from the use of pairwise

  4. Linkage disequilibrium patterns across a recombination gradient in African Drosophila melanogaster.

    PubMed Central

    Andolfatto, Peter; Wall, Jeffrey D

    2003-01-01

    Previous multilocus surveys of nucleotide polymorphism have documented a genome-wide excess of intralocus linkage disequilibrium (LD) in Drosophila melanogaster and D. simulans relative to expectations based on estimated mutation and recombination rates and observed levels of diversity. These studies examined patterns of variation from predominantly non-African populations that are thought to have recently expanded their ranges from central Africa. Here, we analyze polymorphism data from a Zimbabwean population of D. melanogaster, which is likely to be closer to the standard population model assumptions of a large population with constant size. Unlike previous studies, we find that levels of LD are roughly compatible with expectations based on estimated rates of crossing over. Further, a detailed examination of genes in different recombination environments suggests that markers near the telomere of the X chromosome show considerably less linkage disequilibrium than predicted by rates of crossing over, suggesting appreciable levels of exchange due to gene conversion. Assuming that these populations are near mutation-drift equilibrium, our results are most consistent with a model that posits heterogeneity in levels of exchange due to gene conversion across the X chromosome, with gene conversion being a minor determinant of LD levels in regions of high crossing over. Alternatively, if levels of exchange due to gene conversion are not negligible in regions of high crossing over, our results suggest a marked departure from mutation-drift equilibrium (i.e., toward an excess of LD) in this Zimbabwean population. Our results also have implications for the dynamics of weakly selected mutations in regions of reduced crossing over. PMID:14668383

  5. A First Insight into Population Structure and Linkage Disequilibrium in the US Peanut Mini-core Collection

    Technology Transfer Automated Retrieval System (TEKTRAN)

    Knowledge of genetic diversity, population structure, and degree of linkage disequilibrium (LD) in target association mapping populations is of great importance and is a prerequisite for LD-based mapping. In the present study, 96 genotypes comprising 92 accessions of the U.S. peanut mini-core colle...

  6. Population structure and linkage disequilibrium in oat (Avena sativa L.): implications for genome-wide association studies

    Technology Transfer Automated Retrieval System (TEKTRAN)

    The level of population structure and the extent of linkage disequilibrium (LD) can have large impacts on the power, resolution, and design of genome-wide association studies (GWAS) in plants. Until recently, the topics of LD and population structure have not been explored in oat due to the lack of...

  7. Extensive genetic diversity and low linkage disequilibrium within the COMT locus in Germplasm Enhancement of Maize populations

    Technology Transfer Automated Retrieval System (TEKTRAN)

    The Caffeic acid 3-O-methytransferase (COMT) gene is a prime candidate for cell wall digestibility improvement based on the characterization of brown midrib-3 mutants. We compared the genetic diversity and linkage disequilibrium at COMT locus between populations sampled within the Germplasm Enhance...

  8. Genetic structure and linkage disequilibrium in a diverse, representative collection of the C4 model plant, Sorghum bicolor

    Technology Transfer Automated Retrieval System (TEKTRAN)

    To facilitate the mapping of genes in sorghum [Sorghum bicolor (L.) Moench] underlying economically important traits, we analyzed the genetic structure and linkage disequilibrium in a sorghum mini core collection of 242 landraces with 14,739 SNPs. The SNPs were produced using a highly multiplexed g...

  9. Heritability and Familiality of Temperament and Character Dimensions in Korean Families with Schizophrenic Linkage Disequilibrium

    PubMed Central

    Lee, Byung Dae; Park, Je Min; Lee, Young Min; Moon, Eunsoo; Jeong, Hee Jeong; Chung, Young In; Yi, Young Mi

    2016-01-01

    Objective Categorical syndromes such as schizophrenia may represent complexes of many continuous psychological structural phenotypes along several dimensions of personality development/degeneration. The present study investigated the heritability and familiality of personality dimensions in Korean families with schizophrenic linkage disequilibrium (LD). Methods We recruited 179 probands (with schizophrenia) as well as, whenever possible, their parents and siblings. We used the Temperament and Character Inventory (TCI) to measure personality and symptomatic dimensions. The heritability of personality dimensions in a total of 472 family members was estimated using Sequential Oligogenic Linkage Analysis Routines (SOLAR). To measure familiality, we compared the personality dimensions of family members with those of 336 healthy unrelated controls using analysis of variance (ANOVA) analysis. Results Three of the seven TCI variables were significantly heritable and were included in subsequent analyses. The three groups (control, unaffected first-degree relative, case) were found to significantly differ from one another, with the expected order of average group scores, for all heritable dimensions. Conclusion Despite several study limitations with respect to family recruitment and phenotyping, our results show that aberrations in several personality dimensions related to genetic-environment coactions or interactions may underlie the complexity of the schizophrenic syndrome. PMID:27121432

  10. Detection of linkage disequilibrium between the myotonic dystrophy locus and a new polymorphic DNA marker.

    PubMed Central

    Harley, H G; Brook, J D; Floyd, J; Rundle, S A; Crow, S; Walsh, K V; Thibault, M C; Harper, P S; Shaw, D J

    1991-01-01

    We have examined the linkage of two new polymorphic DNA markers (D19S62 and D19S63) and a previously unreported polymorphism with an existing DNA marker (ERCC1) to the myotonic dystrophy (DM) locus. In addition, we have used pulsed-field gel electrophoresis to obtain a fine-structure map of this region. The detection of linkage disequilibrium between DM and one of these markers (D19S63) is the first demonstration of this phenomenon in a heterogeneous DM population. The results suggest that at least 58% of DM patients in the British population, as well as those in a French-Canadian subpopulation, are descended from the same ancestral DM mutation. We discuss the implications of this finding in terms of strategies for cloning the DM gene, for a possible role in modification of risk for prenatal and presymptomatic testing, and we speculate on the origin and number of existing mutations which may result in a DM phenotype. PMID:2063878

  11. Linkage disequilibrium with linkage analysis of multiline crosses reveals different multiallelic QTL for hybrid performance in the flint and dent heterotic groups of maize.

    PubMed

    Giraud, Héloïse; Lehermeier, Christina; Bauer, Eva; Falque, Matthieu; Segura, Vincent; Bauland, Cyril; Camisan, Christian; Campo, Laura; Meyer, Nina; Ranc, Nicolas; Schipprack, Wolfgang; Flament, Pascal; Melchinger, Albrecht E; Menz, Monica; Moreno-González, Jesús; Ouzunova, Milena; Charcosset, Alain; Schön, Chris-Carolin; Moreau, Laurence

    2014-12-01

    Multiparental designs combined with dense genotyping of parents have been proposed as a way to increase the diversity and resolution of quantitative trait loci (QTL) mapping studies, using methods combining linkage disequilibrium information with linkage analysis (LDLA). Two new nested association mapping designs adapted to European conditions were derived from the complementary dent and flint heterotic groups of maize (Zea mays L.). Ten biparental dent families (N = 841) and 11 biparental flint families (N = 811) were genotyped with 56,110 single nucleotide polymorphism markers and evaluated as test crosses with the central line of the reciprocal design for biomass yield, plant height, and precocity. Alleles at candidate QTL were defined as (i) parental alleles, (ii) haplotypic identity by descent, and (iii) single-marker groupings. Between five and 16 QTL were detected depending on the model, trait, and genetic group considered. In the flint design, a major QTL (R(2) = 27%) with pleiotropic effects was detected on chromosome 10, whereas other QTL displayed milder effects (R(2) < 10%). On average, the LDLA models detected more QTL but generally explained lower percentages of variance, consistent with the fact that most QTL display complex allelic series. Only 15% of the QTL were common to the two designs. A joint analysis of the two designs detected between 15 and 21 QTL for the five traits. Of these, between 27 for silking date and 41% for tasseling date were significant in both groups. Favorable allelic effects detected in both groups open perspectives for improving biomass production. PMID:25271305

  12. Long distance linkage disequilibrium and limited hybridization suggest cryptic speciation in atlantic cod.

    PubMed

    Bradbury, Ian R; Bowman, Sharen; Borza, Tudor; Snelgrove, Paul V R; Hutchings, Jeffrey A; Berg, Paul R; Rodríguez-Ezpeleta, Naiara; Lighten, Jackie; Ruzzante, Daniel E; Taggart, Christopher; Bentzen, Paul

    2014-01-01

    Hybrid zones provide unprecedented opportunity for the study of the evolution of reproductive isolation, and the extent of hybridization across individuals and genomes can illuminate the degree of isolation. We examine patterns of interchromosomal linkage disequilibrium (ILD) and the presence of hybridization in Atlantic cod, Gadus morhua, in previously identified hybrid zones in the North Atlantic. Here, previously identified clinal loci were mapped to the cod genome with most (∼70%) occurring in or associated with (<5 kb) coding regions representing a diverse array of possible functions and pathways. Despite the observation that clinal loci were distributed across three linkage groups, elevated ILD was observed among all groups of clinal loci and strongest in comparisons involving a region of low recombination along linkage group 7. Evidence of ILD supports a hypothesis of divergence hitchhiking transitioning to genome hitchhiking consistent with reproductive isolation. This hypothesis is supported by Bayesian characterization of hybrid classes present and we find evidence of common F1 hybrids in several regions consistent with frequent interbreeding, yet little evidence of F2 or backcrossed individuals. This work suggests that significant barriers to hybridization and introgression exist among these co-occurring groups of cod either through strong selection against hybrid individuals, or genetic incompatibility and intrinsic barriers to hybridization. In either case, the presence of strong clinal trends, and little gene flow despite extensive hybridization supports a hypothesis of reproductive isolation and cryptic speciation in Atlantic cod. Further work is required to test the degree and nature of reproductive isolation in this species. PMID:25259573

  13. Long Distance Linkage Disequilibrium and Limited Hybridization Suggest Cryptic Speciation in Atlantic Cod

    PubMed Central

    Bradbury, Ian R.; Bowman, Sharen; Borza, Tudor; Snelgrove, Paul V. R.; Hutchings, Jeffrey A.; Berg, Paul R.; Rodríguez-Ezpeleta, Naiara; Lighten, Jackie; Ruzzante, Daniel E.; Taggart, Christopher; Bentzen, Paul

    2014-01-01

    Hybrid zones provide unprecedented opportunity for the study of the evolution of reproductive isolation, and the extent of hybridization across individuals and genomes can illuminate the degree of isolation. We examine patterns of interchromosomal linkage disequilibrium (ILD) and the presence of hybridization in Atlantic cod, Gadus morhua, in previously identified hybrid zones in the North Atlantic. Here, previously identified clinal loci were mapped to the cod genome with most (∼70%) occurring in or associated with (<5 kb) coding regions representing a diverse array of possible functions and pathways. Despite the observation that clinal loci were distributed across three linkage groups, elevated ILD was observed among all groups of clinal loci and strongest in comparisons involving a region of low recombination along linkage group 7. Evidence of ILD supports a hypothesis of divergence hitchhiking transitioning to genome hitchhiking consistent with reproductive isolation. This hypothesis is supported by Bayesian characterization of hybrid classes present and we find evidence of common F1 hybrids in several regions consistent with frequent interbreeding, yet little evidence of F2 or backcrossed individuals. This work suggests that significant barriers to hybridization and introgression exist among these co-occurring groups of cod either through strong selection against hybrid individuals, or genetic incompatibility and intrinsic barriers to hybridization. In either case, the presence of strong clinal trends, and little gene flow despite extensive hybridization supports a hypothesis of reproductive isolation and cryptic speciation in Atlantic cod. Further work is required to test the degree and nature of reproductive isolation in this species. PMID:25259573

  14. Effective Population Size, Extended Linkage Disequilibrium and Signatures of Selection in the Rare Dog Breed Lundehund

    PubMed Central

    Pfahler, Sophia; Distl, Ottmar

    2015-01-01

    The Lundehund is an old dog breed with remarkable anatomical features including polydactyly in all four limbs and extraordinary flexibility of the spine. We genotyped 28 Lundehund using the canine Illumina high density beadchip to estimate the effective population size (Ne) and inbreeding coefficients as well as to identify potential regions of positive selection. The decay of linkage disequilibrium was slow with r2 = 0.95 in 50 kb distance. The last 7-200 generations ago, Ne was at 10-13. An increase of Ne was noted in the very recent generations with a peak value of 19 for Ne at generation 4. The FROH estimated for 50-, 65- and 358-SNP windows were 0.87, 087 and 0.81, respectively. The most likely estimates for FROH after removing identical-by-state segments due to linkage disequilibria were at 0.80-0.81. The extreme loss of heterozygosity has been accumulated through continued inbreeding over 200 generations within a probably closed population with a small effective population size. The mean inbreeding coefficient based on pedigree data for the last 11 generations (FPed = 0.10) was strongly biased downwards due to the unknown coancestry of the founders in this pedigree data. The long-range haplotype test identified regions with genes involved in processes of immunity, olfaction, woundhealing and neuronal development as potential targets of selection. The genes QSOX2, BMPR1B and PRRX2 as well as MYOM1 are candidates for selection on the Lundehund characteristics small body size, increased number of digits per paw and extraordinary mobility, respectively. PMID:25860808

  15. Linkage disequilibrium based association mapping of fiber quality traits in G. hirsutum L. variety germplasm.

    PubMed

    Abdurakhmonov, Ibrokhim Y; Saha, Sukumar; Jenkins, Jonnie N; Buriev, Zabardast T; Shermatov, Shukhrat E; Scheffler, Brain E; Pepper, Alan E; Yu, John Z; Kohel, Russell J; Abdukarimov, Abdusattor

    2009-07-01

    Cotton is the world's leading cash crop, but it lags behind other major crops for marker-assisted breeding due to limited polymorphisms and a genetic bottleneck through historic domestication. This underlies a need for characterization, tagging, and utilization of existing natural polymorphisms in cotton germplasm collections. Here we report genetic diversity, population characteristics, the extent of linkage disequilibrium (LD), and association mapping of fiber quality traits using 202 microsatellite marker primer pairs in 335 G. hirsutum germplasm grown in two diverse environments, Uzbekistan and Mexico. At the significance threshold (r (2) >or= 0.1), a genome-wide average of LD extended up to genetic distance of 25 cM in assayed cotton variety accessions. Genome wide LD at r (2) >or= 0.2 was reduced to approximately 5-6 cM, providing evidence of the potential for association mapping of agronomically important traits in cotton. Results suggest linkage, selection, inbreeding, population stratification, and genetic drift as the potential LD-generating factors in cotton. In two environments, an average of ~20 SSR markers was associated with each main fiber quality traits using a unified mixed liner model (MLM) incorporating population structure and kinship. These MLM-derived significant associations were confirmed in general linear model and structured association test, accounting for population structure and permutation-based multiple testing. Several common markers, showing the significant associations in both Uzbekistan and Mexican environments, were determined. Between 7 and 43% of the MLM-derived significant associations were supported by a minimum Bayes factor at 'moderate to strong' and 'strong to very strong' evidence levels, suggesting their usefulness for marker-assisted breeding programs and overall effectiveness of association mapping using cotton germplasm resources. PMID:19067183

  16. Linkage disequilibrium and diversity for three genomic regions in Azoreans and mainland Portuguese

    PubMed Central

    2009-01-01

    Studies on linkage disequilibrium (LD) across the genome and populations have been used in recent years with the main objective of improving gene mapping of complex traits. Here, we characterize the patterns of genetic diversity of HLA loci and evaluate LD (D') extent in three genomic regions: Xq13.3, NRY and HLA. In addition, we examine the distribution of DXS1225-DXS8082 haplotype diversity in Azoreans and mainland Portuguese. Allele distribution has demonstrated that the São Miguel population is genetically very diverse; haplotype analysis revealed 100% discriminatory power for X- and Y-markers and 94.3% for HLA markers. Standardized multiallelic D' in these three genomic regions shows values lower than 0.33, thereby suggesting there is no extensive LD in the São Miguel population. Data regarding the distribution of DXS1225-DXS8082 haplotypes indicate that there are no significant differences among all the populations studied, (Azorean geographical groups, the Azores archipelago and mainland Portugal). Moreover, in these as well as in other European populations, the most frequent DXS1225-DXS8082 haplotype is 210-219. Even though São Miguel islanders and Azoreans do not constitute isolated populations and show LD for only very short physical distances, certain characteristics, such as the absence of genetic structure, the same environment and the possibility of constructing extensive pedigrees through church and civil records, offer an opportunity for dissecting the genetic background of complex diseases in these populations. PMID:21637671

  17. Exploiting Linkage Disequilibrium for Ultrahigh-Dimensional Genome-Wide Data with an Integrated Statistical Approach.

    PubMed

    Carlsen, Michelle; Fu, Guifang; Bushman, Shaun; Corcoran, Christopher

    2016-02-01

    Genome-wide data with millions of single-nucleotide polymorphisms (SNPs) can be highly correlated due to linkage disequilibrium (LD). The ultrahigh dimensionality of big data brings unprecedented challenges to statistical modeling such as noise accumulation, the curse of dimensionality, computational burden, spurious correlations, and a processing and storing bottleneck. The traditional statistical approaches lose their power due to [Formula: see text] (n is the number of observations and p is the number of SNPs) and the complex correlation structure among SNPs. In this article, we propose an integrated distance correlation ridge regression (DCRR) approach to accommodate the ultrahigh dimensionality, joint polygenic effects of multiple loci, and the complex LD structures. Initially, a distance correlation (DC) screening approach is used to extensively remove noise, after which LD structure is addressed using a ridge penalized multiple logistic regression (LRR) model. The false discovery rate, true positive discovery rate, and computational cost were simultaneously assessed through a large number of simulations. A binary trait of Arabidopsis thaliana, the hypersensitive response to the bacterial elicitor AvrRpm1, was analyzed in 84 inbred lines (28 susceptibilities and 56 resistances) with 216,130 SNPs. Compared to previous SNP discovery methods implemented on the same data set, the DCRR approach successfully detected the causative SNP while dramatically reducing spurious associations and computational time. PMID:26661113

  18. Linkage Disequilibrium Decay and Past Population History in the Human Genome

    PubMed Central

    Park, Leeyoung

    2012-01-01

    The fluctuation of population size has not been well studied in the previous studies of theoretical linkage disequilibrium (LD) expectation. In this study, an improved theoretical prediction of LD decay was derived to account for the effects of changes in effective population sizes. The equation was used to estimate effective population size (Ne) assuming a constant Ne and LD at equilibrium, and these Ne estimates implied the past changes of Ne for a certain number of generations until equilibrium, which differed based on recombination rate. As the influence of recent population history on the Ne estimates is larger than old population history, recent changes in population size can be inferred more accurately than old changes. The theoretical predictions based on this improved expression showed accurate agreement with the simulated values. When applied to human genome data, the detailed recent history of human populations was obtained. The inferred past population history of each population showed good correspondence with historical studies. Specifically, four populations (three African ancestries and one Mexican ancestry) showed population growth that was significantly less than that of other populations, and two populations originated from China showed prominent exponential growth. During the examination of overall LD decay in the human genome, a selection pressure on chromosome 14, the gephyrin gene, was observed in all populations. PMID:23056365

  19. Fine-scale genetic mapping based on linkage disequilibrium: theory and applications.

    PubMed

    Xiong, M; Guo, S W

    1997-06-01

    Linkage-disequilibrium mapping (LDM) recently has been hailed as a powerful statistical method for fine-scale mapping of disease genes. After reviewing its historical background and methodological development, we present a general, mathematical, and conceptually coherent framework for LDM that incorporates multilocus and multiallelic markers and mutational processes at the marker and disease loci. With this framework, we address several issues relevant to fine-scale mapping and propose some efficient computational methods for LDM. We implement various LDM methods that incorporate population growth, recurrent mutation, and marker mutations, on the basis of a general framework. We demonstrate these methods by applying them to published data on cystic fibrosis, Huntington disease, Friedreich ataxia, and progressive myoclonus epilepsy. Since the genes responsible for these diseases all have been cloned, we can evaluate the performance of our methods and can compare ours with that of other methods. Using the proposed methods, we successfully and accurately predicted the locations of genes responsible for these diseases, on the basis of published data only. PMID:9199574

  20. Linkage Disequilibrium and Genome-Wide Association Mapping in Tetraploid Wheat (Triticum turgidum L.)

    PubMed Central

    Laidò, Giovanni; Marone, Daniela; Russo, Maria A.; Colecchia, Salvatore A.; Mastrangelo, Anna M.; De Vita, Pasquale; Papa, Roberto

    2014-01-01

    Association mapping is a powerful tool for the identification of quantitative trait loci through the exploitation of the differential decay of linkage disequilibrium (LD) between marker loci and genes of interest in natural and domesticated populations. Using a sample of 230 tetraploid wheat lines (Triticum turgidum ssp), which included naked and hulled accessions, we analysed the pattern of LD considering 26 simple sequence repeats and 970 mostly mapped diversity array technology loci. In addition, to validate the potential for association mapping in durum wheat, we evaluated the same genotypes for plant height, heading date, protein content, and thousand-kernel weight. Molecular and phenotypic data were used to: (i) investigate the genetic and phenotypic diversity; (ii) study the dynamics of LD across the durum wheat genome, by investigating the patterns of LD decay; and (iii) test the potential of our panel to identify marker–trait associations through the analysis of four quantitative traits of major agronomic importance. Moreover, we compared and validated the association mapping results with outlier detection analysis based on population divergence. Overall, in tetraploid wheat, the pattern of LD is extremely population dependent and is related to the domestication and breeding history of durum wheat. Comparing our data with several other studies in wheat, we confirm the position of many major genes and quantitative trait loci for the traits considered. Finally, the analysis of the selection signature represents a very useful complement to validate marker–trait associations. PMID:24759998

  1. Linkage disequilibrium and population structure in wild and domesticated populations of Phaseolus vulgaris L.

    PubMed Central

    Rossi, Monica; Bitocchi, Elena; Bellucci, Elisa; Nanni, Laura; Rau, Domenico; Attene, Giovanna; Papa, Roberto

    2009-01-01

    Together with the knowledge of the population structure, a critical aspect for the planning of association and/or population genomics studies is the level of linkage disequilibrium (LD) that characterizes the species and the population used for such an analysis. We have analyzed the population structure and LD in wild and domesticated populations of Phaseolus vulgaris L. using amplified fragment length polymorphism markers, most of which were genetically mapped in two recombinant inbred populations. Our results reflect the previous knowledge of the occurrence of two major wild gene pools of P. vulgaris, from which two independent domestication events originated, one in the Andes and one in Mesoamerica. The high level of LD in the whole sample was mostly due to the gene pool structure, with a much higher LD in domesticated compared to wild populations. In relation to association studies, our results also suggest that whole-genome-scan approaches are feasible in the common bean. Interestingly, an excess of inter-chromosomal LD was found in the domesticated populations, which suggests an important role for epistatic selection during domestication. Moreover, our results indicate the occurrence of a strong bottleneck in the Andean wild population before domestication, suggesting a Mesoamerican origin of P. vulgaris. Finally, our data support the occurrence of a single domestication event in Mesoamerica, and the same scenario in the Andes. PMID:25567895

  2. Sequence variation and linkage disequilibrium in the human T-cell receptor beta (TCRB) locus.

    PubMed

    Subrahmanyan, L; Eberle, M A; Clark, A G; Kruglyak, L; Nickerson, D A

    2001-08-01

    The T-cell receptor (TCR) plays a central role in the immune system, and > 90% of human T cells present a receptor that consists of the alpha TCR subunit (TCRA) and the beta subunit (TCRB). Here we report an analysis of 63 variable genes (BV), spanning 553 kb of TCRB that yielded 279 single-nucleotide polymorphisms (SNPs). Samples were drawn from 10 individuals and represent four populations-African American, Chinese, Mexican, and Northern European. We found nine variants that produce nonfunctional BV segments, removing those genes from the TCRB genomic repertoire. There was significant heterogeneity among population samples in SNP frequency (including the BV-inactivating sites), indicating the need for multiple-population samples for adequate variant discovery. In addition, we observed considerable linkage disequilibrium (LD) (r(2) > 0.1) over distances of approximately 30 kb in TCRB, and, in general, the distribution of r(2) as a function of physical distance was in close agreement with neutral coalescent simulations. LD in TCRB showed considerable spatial variation across the locus, being concentrated in "blocks" of LD; however, coalescent simulations of the locus illustrated that the heterogeneity of LD we observed in TCRB did not differ markedly from that expected from neutral processes. Finally, examination of the extended genotypes for each subject demonstrated homozygous stretches of >100 kb in the locus of several individuals. These results provide the basis for optimization of locuswide SNP typing in TCRB for studies of genotype-phenotype association. PMID:11438886

  3. Sequence Variation and Linkage Disequilibrium in the Human T-Cell Receptor β (TCRB) Locus

    PubMed Central

    Subrahmanyan, Lakshman; Eberle, Michael A.; Clark, Andrew G.; Kruglyak, Leonid; Nickerson, Deborah A.

    2001-01-01

    The T-cell receptor (TCR) plays a central role in the immune system, and >90% of human T cells present a receptor that consists of the α TCR subunit (TCRA) and the β subunit (TCRB). Here we report an analysis of 63 variable genes (BV), spanning 553 kb of TCRB that yielded 279 single-nucleotide polymorphisms (SNPs). Samples were drawn from 10 individuals and represent four populations—African American, Chinese, Mexican, and Northern European. We found nine variants that produce nonfunctional BV segments, removing those genes from the TCRB genomic repertoire. There was significant heterogeneity among population samples in SNP frequency (including the BV-inactivating sites), indicating the need for multiple-population samples for adequate variant discovery. In addition, we observed considerable linkage disequilibrium (LD) (r2>0.1) over distances of ∼30 kb in TCRB, and, in general, the distribution of r2 as a function of physical distance was in close agreement with neutral coalescent simulations. LD in TCRB showed considerable spatial variation across the locus, being concentrated in “blocks” of LD; however, coalescent simulations of the locus illustrated that the heterogeneity of LD we observed in TCRB did not differ markedly from that expected from neutral processes. Finally, examination of the extended genotypes for each subject demonstrated homozygous stretches of >100 kb in the locus of several individuals. These results provide the basis for optimization of locuswide SNP typing in TCRB for studies of genotype-phenotype association. PMID:11438886

  4. Shades of gray: A comparison of linkage disequilibrium between Hutterites and Europeans

    PubMed Central

    Thompson, Emma E; Sun, Ying; Nicolae, Dan; Ober, Carole

    2014-01-01

    Founder or isolated populations have advantages for genetic studies due to decreased genetic and environmental heterogeneity. However, whereas longer range linkage disequilibrium (LD) in these populations is expected to facilitate gene localization, extensive LD may actually limit the ability for gene discovery. The North American Hutterite population is one of the best characterized young founder populations and members of this isolate have been the subjects of our studies of complex traits, including fertility, asthma and cardiovascular disease, for >20 years. Here, we directly assess the patterns and extent of global LD using single nucleotide polymorphism (SNP) genotypes with minor allele frequencies (MAFs) ≥5% from the Affymetrix GeneChip® Mapping 500K array in 60 relatively unrelated Hutterites and 60 unrelated Europeans (HapMap CEU). Although LD among some marker pairs extends further in the Hutterites than in Europeans, the pattern of LD and minor allele frequencies are surprisingly similar. These results indicate that 1) identifying disease genes should be no more difficult in the Hutterites than in outbred European populations, 2) the same common susceptibility alleles for complex diseases should be present in the Hutterites and outbred European populations, and 3) imputation algorithms based on HapMap CEU should be applicable to the Hutterites. PMID:19697328

  5. Experimental Designs for Reliable Detection of Linkage Disequilibrium in Unstructured Random Population Association Studies

    PubMed Central

    Ball, Roderick D.

    2005-01-01

    A method is given for design of experiments to detect associations (linkage disequilibrium) in a random population between a marker and a quantitative trait locus (QTL), or gene, with a given strength of evidence, as defined by the Bayes factor. Using a version of the Bayes factor that can be linked to the value of an F-statistic with an existing deterministic power calculation makes it possible to rapidly evaluate a comprehensive range of scenarios, demonstrating the feasibility, or otherwise, of detecting genes of small effect. The Bayes factor is advocated for use in determining optimal strategies for selecting candidate genes for further testing or applications. The prospects for fine-scale mapping of QTL are reevaluated in this framework. We show that large sample sizes are needed to detect small-effect genes with a respectable-sized Bayes factor, and to have good power to detect a QTL allele at low frequency it is necessary to have a marker with similar allele frequency near the gene. PMID:15781715

  6. Linkage Disequilibrium Estimation of Chinese Beef Simmental Cattle Using High-density SNP Panels

    PubMed Central

    Zhu, M.; Zhu, B.; Wang, Y. H.; Wu, Y.; Xu, L.; Guo, L. P.; Yuan, Z. R.; Zhang, L. P.; Gao, X.; Gao, H. J.; Xu, S. Z.; Li, J. Y.

    2013-01-01

    Linkage disequilibrium (LD) plays an important role in genomic selection and mapping quantitative trait loci (QTL). In this study, the pattern of LD and effective population size (Ne) were investigated in Chinese beef Simmental cattle. A total of 640 bulls were genotyped with IlluminaBovinSNP50BeadChip and IlluminaBovinHDBeadChip. We estimated LD for each autosomal chromosome at the distance between two random SNPs of <0 to 25 kb, 25 to 50 kb, 50 to 100 kb, 100 to 500 kb, 0.5 to 1 Mb, 1 to 5 Mb and 5 to 10 Mb. The mean values of r2 were 0.30, 0.16 and 0.08, when the separation between SNPs ranged from 0 to 25 kb to 50 to 100 kb and then to 0.5 to 1 Mb, respectively. The LD estimates decreased as the distance increased in SNP pairs, and increased with the increase of minor allelic frequency (MAF) and with the decrease of sample sizes. Estimates of effective population size for Chinese beef Simmental cattle decreased in the past generations and Ne was 73 at five generations ago. PMID:25049849

  7. Extensive Long-Range and Nonsyntenic Linkage Disequilibrium in Livestock Populations: Deconstruction of a Conundrum

    PubMed Central

    Lipkin, E.; Straus, K.; Stein, R. Tal; Bagnato, A.; Schiavini, F.; Fontanesi, L.; Russo, V.; Medugorac, I.; Foerster, M.; Sölkner, J.; Dolezal, M.; Medrano, J. F.; Friedmann, A.; Soller, M.

    2009-01-01

    Great interest was aroused by reports, based on microsatellite markers, of high levels of statistically significant long-range and nonsyntenic linkage disequilibrium (LD) in livestock. Simulation studies showed that this could result from population family structure. In contrast, recent SNP-based studies of livestock populations report much lower levels of LD. In this study we show, on the basis of microsatellite data from four cattle populations, that high levels of long-range LD are indeed obtained when using the multi-allelic D′ measure of LD. Long-range and nonsyntenic LD are exceedingly low, however, when evaluated by the standardized chi-square measure of LD, which stands in relation to the predictive ability of LD. Furthermore, specially constructed study populations provided no evidence for appreciable LD resulting from family structure at the grandparent level. We propose that the high statistical significance and family structure effects observed in the earlier studies are due to the use of large sample sizes, which accord high statistical significance to even slight deviations from asymptotic expectations under the null hypothesis. Nevertheless, even after taking sample size into account, our results indicate that microsatellites testify to the presence of usable LD at considerably wider separation distances than SNPs, suggesting that use of SNP haplotypes may considerably increase the usefulness of a given fixed SNP array. PMID:19087960

  8. Linkage disequilibrium analysis of case-control data: an application to generalized aggressive periodontitis.

    PubMed

    Scapoli, C; Trombelli, L; Mamolini, E; Collins, A

    2005-02-01

    Several studies have shown a role for the involvement of interleukin (IL)-1 gene cluster polymorphisms in the risk of periodontal diseases. In the present study, we tested polymorphisms, derived from genes of the IL-1 cluster, for association with generalized aggressive periodontitis (GAP) through both allelic association and by constructing a linkage disequilibrium (LD) map of the 2q13-14 disease candidate region. The IL-1RN (VNTR) genotype distribution observed was significantly different in GAP and control subjects (P=0.019). We also observed some evidence for an association between GAP and the IL-1B(+3953) polymorphism (P=0.039). The pattern of association in the region, represented as an LD map, identifies a recombination hot area between the IL-1B(+3953) and IL-1B(-511) polymorphisms. Multilocus modelling of association with disease gives a location for the peak association at the IL-1B(+3953) marker, although support for the peak is not significant. Haplotype analysis identifies a IL-1B(+3953)-IL-1B(-511) haplotype as having the lowest P-value in the region. Recognition of the presence of a recombination hot area between the IL-1B(+3953) and IL-1B(-511) polymorphisms will have an important bearing on future efforts to develop higher resolution SNP analysis in this region for both this and other diseases for which this cluster is implicated. PMID:15602586

  9. Linkage disequilibrium and haplotype analysis among Polish families with spinal muscular atrophy

    SciTech Connect

    Brzustowicz, L.M.; Wang, C.H.; Matseoane, D.; Kleyn, P.W.; Vitale, E.; Das, K.; Penchaszadeh, G.K.; Gilliam, T.C.; Munsat, T.L.; Hausmanowa-Petrusewicz, I.

    1995-01-01

    Spinal muscular atrophy (SMA) is an inherited degenerative disorder of anterior horn cells that results in progressive muscle weakness and atrophy. The autosomal recessive forms of childhood-onset SMA have been mapped to chromosome 5q11.2-13.3, in a number of studies examining different populations. A total of 9 simple sequence repeat markers were genotyped against 32 Polish families with SMA. The markers span an {approximately}0.7 cM region defined by the SMA flanking markers D5S435 and MAP1B. Significant linkage disequilibrium (corrected P<0.5) was detected at four of these markers, with D/D{sub max} values of {le}.89. Extended haplotype analysis revealed a predominant haplotype associated with SMA. The apparently high mutation rate of some of the markers has resulted in a number of haplotypes that vary slightly from this predominant haplotype. The predominant haplotype and these closely related patterns represent 25% of the disease chromosomes and none of the nontransmitted parental chromosomes. This predominant haplotype is present both in patients with acute (type I) and in chronic (types II and III) forms of SMA and occurs twice in a homozygous state, both times in children with chronic SMA. 34 refs., 2 figs., 2 tabs.

  10. Temporal dynamics of linkage disequilibrium in two populations of bighorn sheep

    PubMed Central

    Miller, Joshua M; Poissant, Jocelyn; Malenfant, René M; Hogg, John T; Coltman, David W

    2015-01-01

    Linkage disequilibrium (LD) is the nonrandom association of alleles at two markers. Patterns of LD have biological implications as well as practical ones when designing association studies or conservation programs aimed at identifying the genetic basis of fitness differences within and among populations. However, the temporal dynamics of LD in wild populations has received little empirical attention. In this study, we examined the overall extent of LD, the effect of sample size on the accuracy and precision of LD estimates, and the temporal dynamics of LD in two populations of bighorn sheep (Ovis canadensis) with different demographic histories. Using over 200 microsatellite loci, we assessed two metrics of multi-allelic LD, D′, and χ′2. We found that both populations exhibited high levels of LD, although the extent was much shorter in a native population than one that was founded via translocation, experienced a prolonged bottleneck post founding, followed by recent admixture. In addition, we observed significant variation in LD in relation to the sample size used, with small sample sizes leading to depressed estimates of the extent of LD but inflated estimates of background levels of LD. In contrast, there was not much variation in LD among yearly cross-sections within either population once sample size was accounted for. Lack of pronounced interannual variability suggests that researchers may not have to worry about interannual variation when estimating LD in a population and can instead focus on obtaining the largest sample size possible. PMID:26380673

  11. Potential linkage disequilibrium between schizophrenia and locus D22S278 on the long arm of chromosome 22

    SciTech Connect

    Moises, H.W.; Yang, L.; Havsteen, B.

    1995-10-09

    Locus D22S278 at 22q12 has been implicated in schizophrenia by sib-pair analysis. In order to replicate these results, we performed the transmission test for linkage disequilibrium (TDT) in 113 unrelated schizophrenic patients and their 226 parents. Evidence for potential linkage disequilibrium was obtained between schizophrenia and allele 243 of the marker AFM 182xd12 at the locus D22S278 (P = 0.02). The results of our study suggest a detectable oligogenic gene in a multigene system for schizophrenia closely linked to D22S278 on the long arm of chromosome 22. If confirmed by others, this finding could lead to the identification of a schizophrenia susceptibility gene. 12 refs., 1 tab.

  12. A powerful likelihood method for the analysis of linkage disequilibrium between trait loci and one or more polymorphic marker loci

    SciTech Connect

    Terwilliger, J.D.

    1995-03-01

    Historically, most methods for detecting linkage disequilibrium were designed for use with diallelic marker loci, for which the analysis is straightforward. With the advent of polymorphic markers with many alleles, the normal approach to their analysis has been either to extend the methodology for two-allele systems (leading to an increase in df and to a corresponding loss of power) or to select the allele believed to be associated and then collapse the other alleles, reducing, in a biased way, the locus to a diallelic system. I propose a likelihood-based approach to testing for linkage disequilibrium, an approach that becomes more conservative as the number of alleles increases, and as the number of markers considered jointly increases in a multipoint test for linkage disequilibrium, while maintaining high power. Properties of this method for detecting associations and fine mapping the location of disease traits are investigated. It is found to be, in general, more powerful than conventional methods, and it provides a tractable framework for the fine mapping of new disease loci. Application to the cystic fibrosis data of Kerem et al. is included to illustrate the method. 12 refs., 4 figs., 4 tabs.

  13. Linkage disequilibrium between the juvenile neuronal ceroid lipofuscinosis gene and marker loci on chromosome 16p12. 1

    SciTech Connect

    Lerner, T.J.; MacCormack, K.; Gleitsman, J.; Schlumpf, K.; Breakefield, X.O.; Gusella, J.F.; Haines, J.L. )

    1994-01-01

    The neuronal ceroid lipofuscinoses (NCL; Batten disease) are a collection of autosomal recessive disorders characterized by the accumulation of autofluorescent lipopigments in the neurons and other cell types. Clinically, these disorders are characterized by progressive encephalopathy, loss of vision, and seizures. CLN3, the gene responsible for juvenile NCL, has been mapped to a 15-cM region flanked by the marker loci D16S148 and D16S150 on human chromosome 16. CLN2, the gene causing the late-infantile form of NCL (LNCL), is not yet mapped. The authors have used highly informative dinucleoide repeat markers mapping between D16S148 and D16S150 to refine the localization of CLN3 and to test for linkage to CLN2. The authors find significant linkage disequilibrium between CLN3 and the dinucleotide repeat marker loci D16S288 (X[sup 2](7) = 46.5, P < .005), D16S298 (X[sup 2](6) = 36.6, P < .005), and D16S299 (X[sup 2](7) = 73.8, P < .005), and also a novel RFLP marker at the D16S272 locus (X[sup 2](1) = 5.7, P = .02). These markers all map to 16p12.1. The D16S298/D16S299 haplotype [open quotes]5/4[close quotes] is highly overrepresented, accounting for 54% of CLN3 chromosomes as compared with 8% of control chromosomes (X[sup 2] = 117, df = 1, P < .001). Examination of the haplotypes suggests that the CLN3 locus can be narrowed to the region immediately surrounding these markers in 16p12.1. Analysis of D16S299 in LNCL pedigrees supports the previous finding that CLN3 and CLN2 are different genetic loci. This study also indicates that dinucleotide repeat markers play a valuable role in disequilibrium studies. 23 refs., 1 fig., 4 tabs.

  14. Sexual antagonism and meiotic drive cause stable linkage disequilibrium and favour reduced recombination on the X chromosome.

    PubMed

    Rydzewski, W T; Carioscia, S A; Liévano, G; Lynch, V D; Patten, M M

    2016-06-01

    Sexual antagonism and meiotic drive are sex-specific evolutionary forces with the potential to shape genomic architecture. Previous theory has found that pairing two sexually antagonistic loci or combining sexual antagonism with meiotic drive at linked autosomal loci augments genetic variation, produces stable linkage disequilibrium (LD) and favours reduced recombination. However, the influence of these two forces has not been examined on the X chromosome, which is thought to be enriched for sexual antagonism and meiotic drive. We investigate the evolution of the X chromosome under both sexual antagonism and meiotic drive with two models: in one, both loci experience sexual antagonism; in the other, we pair a meiotic drive locus with a sexually antagonistic locus. We find that LD arises between the two loci in both models, even when the two loci freely recombine in females and that driving haplotypes will be enriched for male-beneficial alleles, further skewing sex ratios in these populations. We introduce a new measure of LD, Dz', which accounts for population allele frequencies and is appropriate for instances where these are sex specific. Both models demonstrate that natural selection favours modifiers that reduce the recombination rate. These results inform observed patterns of congealment found on driving X chromosomes and have implications for patterns of natural variation and the evolution of recombination rates on the X chromosome. PMID:26999777

  15. Extent of Linkage Disequilibrium in the Domestic Cat, Felis silvestris catus, and Its Breeds

    PubMed Central

    Alhaddad, Hasan; Khan, Razib; Grahn, Robert A.; Gandolfi, Barbara; Mullikin, James C.; Cole, Shelley A.; Gruffydd-Jones, Timothy J.; Häggström, Jens; Lohi, Hannes; Longeri, Maria; Lyons, Leslie A.

    2013-01-01

    Domestic cats have a unique breeding history and can be used as models for human hereditary and infectious diseases. In the current era of genome-wide association studies, insights regarding linkage disequilibrium (LD) are essential for efficient association studies. The objective of this study is to investigate the extent of LD in the domestic cat, Felis silvestris catus, particularly within its breeds. A custom illumina GoldenGate Assay consisting of 1536 single nucleotide polymorphisms (SNPs) equally divided over ten 1 Mb chromosomal regions was developed, and genotyped across 18 globally recognized cat breeds and two distinct random bred populations. The pair-wise LD descriptive measure (r2) was calculated between the SNPs in each region and within each population independently. LD decay was estimated by determining the non-linear least-squares of all pair-wise estimates as a function of distance using established models. The point of 50% decay of r2 was used to compare the extent of LD between breeds. The longest extent of LD was observed in the Burmese breed, where the distance at which r2 ≈ 0.25 was ∼380 kb, comparable to several horse and dog breeds. The shortest extent of LD was found in the Siberian breed, with an r2 ≈ 0.25 at approximately 17 kb, comparable to random bred cats and human populations. A comprehensive haplotype analysis was also conducted. The haplotype structure of each region within each breed mirrored the LD estimates. The LD of cat breeds largely reflects the breeds’ population history and breeding strategies. Understanding LD in diverse populations will contribute to an efficient use of the newly developed SNP array for the cat in the design of genome-wide association studies, as well as to the interpretation of results for the fine mapping of disease and phenotypic traits. PMID:23308248

  16. Extent of Linkage Disequilibrium and Effective Population Size in Four South African Sanga Cattle Breeds

    PubMed Central

    Makina, Sithembile O.; Taylor, Jeremy F.; van Marle-Köster, Este; Muchadeyi, Farai C.; Makgahlela, Mahlako L.; MacNeil, Michael D.; Maiwashe, Azwihangwisi

    2015-01-01

    Knowledge on the extent of linkage disequilibrium (LD) in livestock populations is essential to determine the minimum distance between markers required for effective coverage when conducting genome-wide association studies (GWAS). This study evaluated the extent of LD, persistence of allelic phase and effective population size (Ne) for four Sanga cattle breeds in South Africa including the Afrikaner (n = 44), Nguni (n = 54), Drakensberger (n = 47), and Bonsmara breeds (n = 46), using Angus (n = 31) and Holstein (n = 29) as reference populations. We found that moderate LD extends up to inter-marker distances of 40–60 kb in Angus (0.21) and Holstein (0.21) and up to 100 kb in Afrikaner (0.20). This suggests that genomic selection and association studies performed within these breeds using an average inter-marker r2≥ 0.20 would require about 30,000–50,000 SNPs. However, r2≥ 0.20 extended only up to 10–20 kb in the Nguni and Drakensberger and 20–40 kb in the Bonsmara indicating that 75,000 to 150,000 SNPs would be necessary for GWAS in these breeds. Correlation between alleles at contiguous loci indicated that phase was not strongly preserved between breeds. This suggests the need for breed-specific reference populations in which a much greater density of markers should be scored to identify breed specific haplotypes which may then be imputed into multi-breed commercial populations. Analysis of effective population size based on the extent of LD, revealed Ne = 95 (Nguni), Ne = 87 (Drakensberger), Ne = 77 (Bonsmara), and Ne = 41 (Afrikaner). Results of this study form the basis for implementation of genomic selection programs in the Sanga breeds of South Africa. PMID:26648975

  17. Improving power in contrasting linkage-disequilibrium patterns between cases and controls.

    PubMed

    Wang, Tao; Zhu, Xiaofeng; Elston, Robert C

    2007-05-01

    Genetic association studies offer an opportunity to find genetic variants underlying complex human diseases. The success of this approach depends on the linkage disequilibrium (LD) between markers and the disease variant(s) in a local region of the genome. Because, in the region with a disease mutation, the LD pattern among markers may differ between cases and controls, in some scenarios, it is useful to compare a measure of this LD, to map disease mutations. For example, using the composite correlation to characterize the LD among markers, Zaykin et al. recently suggested an "LD contrast" test and showed that it has high power under certain haplotype-driven disease models. Furthermore, it is likely that individual variants observed at different positions in a gene act jointly with each other to influence the phenotype, and the LD contrast test is also a useful method to detect such joint action. However, the LD among markers introduced by mutations and their joint action is usually confounded by background LD, which is measured at the population level, especially in a local region with disease mutations. Because the measures of LD that are usually used, such as the composite correlation, represent both effects, they may not be optimal for the purpose of detecting association when high background LD exists. Here, we describe a test that improves the LD contrast test by taking into account the background LD. Because the proposed test is developed in a regression framework, it is very flexible and can be extended to continuous traits and to incorporate covariates. Our simulation results demonstrate the validity and substantially higher power of the proposed method over current methods. Finally, we illustrate our new method by applying it to real data from the International Collaborative Study on Hypertension in Blacks. PMID:17436245

  18. Efficient Genome-Wide TagSNP Selection Across Populations via the Linkage Disequilibrium Criterion

    PubMed Central

    Wu, Yonghui; Lonardi, Stefano; Jiang, Tao

    2010-01-01

    Abstract In this article, we studied the tag single-nucleotide polymorphism (tagSNP) selection problem on multiple populations using the pairwise r2 linkage disequilibrium criterion. We proposed a novel combinatorial optimization model for the tagSNP selection problem, called the minimum common tagSNP selection (MCTS) problem, and presented efficient solutions for MCTS. Our approach consists of the following three main steps: (i) partitioning the SNP markers into small disjoint components, (ii) applying some data reduction rules to simplify the problem, and (iii) applying either a fast greedy algorithm or a Lagrangian relaxation algorithm to solve the remaining (general) MCTS. These algorithms also provide lower bounds on tagging (i.e., the minimum number of tagSNPs needed). The lower bounds allow us to evaluate how far our solution is from the optimum. To the best of our knowledge, it is the first time the tagging lower bounds are discussed in the literature. We assessed the performance of our algorithms on real HapMap data for genome-wide tagging. The experiments demonstrated that our algorithms run 3–4 orders of magnitude faster than the existing single-population tagging programs such as FESTA, LD-Select, and the multiple-population tagging method MultiPop-TagSelect. Our method also greatly reduced the required tagSNPs compared with LD-Select on a single population and MultiPop-TagSelect on multiple populations. Moreover, the numbers of tagSNPs selected by our algorithms are almost optimal because they are very close to the corresponding lower bounds obtained by our method. PMID:20078395

  19. A Scale-Corrected Comparison of Linkage Disequilibrium Levels between Genic and Non-Genic Regions

    PubMed Central

    Berger, Swetlana; Schlather, Martin; de los Campos, Gustavo; Weigend, Steffen; Preisinger, Rudolf; Erbe, Malena; Simianer, Henner

    2015-01-01

    The understanding of non-random association between loci, termed linkage disequilibrium (LD), plays a central role in genomic research. Since causal mutations are generally not included in genomic marker data, LD between those and available markers is essential for capturing the effects of causal loci on localizing genes responsible for traits. Thus, the interpretation of association studies requires a detailed knowledge of LD patterns. It is well known that most LD measures depend on minor allele frequencies (MAF) of the considered loci and the magnitude of LD is influenced by the physical distances between loci. In the present study, a procedure to compare the LD structure between genomic regions comprising several markers each is suggested. The approach accounts for different scaling factors, namely the distribution of MAF, the distribution of pair-wise differences in MAF, and the physical extent of compared regions, reflected by the distribution of pair-wise physical distances. In the first step, genomic regions are matched based on similarity in these scaling factors. In the second step, chromosome- and genome-wide significance tests for differences in medians of LD measures in each pair are performed. The proposed framework was applied to test the hypothesis that the average LD is different in genic and non-genic regions. This was tested with a genome-wide approach with data sets for humans (Homo sapiens), a highly selected chicken line (Gallus gallus domesticus) and the model plant Arabidopsis thaliana. In all three data sets we found a significantly higher level of LD in genic regions compared to non-genic regions. About 31% more LD was detected genome-wide in genic compared to non-genic regions in Arabidopsis thaliana, followed by 13.6% in human and 6% chicken. Chromosome-wide comparison discovered significant differences on all 5 chromosomes in Arabidopsis thaliana and on one third of the human and of the chicken chromosomes. PMID:26517830

  20. Extent and Distribution of Linkage Disequilibrium in the Old Order Amish

    PubMed Central

    Van Hout, Cristopher V; Levin, Albert M; Rampersaud, Evadnie; Shen, Haiqing; O'Connell, Jeffrey R; Mitchell, Braxton D; Shuldiner, Alan R; Douglas, Julie A

    2010-01-01

    Knowledge of the extent and distribution of linkage disequilibrium (LD) is critical to the design and interpretation of gene mapping studies. Because the demographic history of each population varies and is often not accurately known, it is necessary to empirically evaluate LD on a population-specific basis. Here we present the first genome-wide survey of LD in the Old Order Amish (OOA) of Lancaster County Pennsylvania, a closed population derived from a modest number of founders. Specifically, we present a comparison of LD between OOA individuals and US Utah participants in the International HapMap project (abbreviated CEU) using a high-density single nucleotide polymorphism (SNP) map. Overall, the allele (and haplotype) frequency distributions and LD profiles were remarkably similar between these two populations. For example, the median absolute allele frequency difference for autosomal SNPs was 0.05, with an inter-quartile range of 0.02–0.09, and for autosomal SNPs 10–20 kb apart with common alleles (minor allele frequency≥0.05), the LD measure r2 was at least 0.8 for 15 and 14% of SNP pairs in the OOA and CEU, respectively. Moreover, tag SNPs selected from the HapMap CEU sample captured a substantial portion of the common variation in the OOA (∼88%) at r2≥0.8. These results suggest that the OOA and CEU may share similar LD profiles for other common but untyped SNPs. Thus, in the context of the common variant-common disease hypothesis, genetic variants discovered in gene mapping studies in the OOA may generalize to other populations. PMID:19697356

  1. Ethnic-Difference Markers for Use in Mapping by Admixture Linkage Disequilibrium

    PubMed Central

    Collins-Schramm, Heather E.; Phillips, Carolyn M.; Operario, Darwin J.; Lee, Jane S.; Weber, James L.; Hanson, Robert L.; Knowler, William C.; Cooper, Richard; Li, Hongzhe; Seldin, Michael F.

    2002-01-01

    Mapping by admixture linkage disequilibrium (MALD) is a potentially powerful technique for the mapping of complex genetic diseases. The practical requirements of this method include (a) a set of markers spanning the genome that have large allele-frequency differences between the parental ethnicities contributing to the admixed population and (b) an understanding of the extent of admixture in the study population. To this end, a DNA-pooling technique was used to screen microsatellite and diallelic insertion/deletion markers for allele-frequency differences between putative representatives of the parental populations of the admixed Mexican American (MA) and African American (AA) populations. Markers with promising pooled differences were then confirmed by individual genotyping in both the parental and admixed populations. For the MA population, screening of >600 markers identified 151 ethnic-difference markers (EDMs) with δ>0.30 (where δ is the absolute value of each allele-frequency difference between two populations, summed over all marker alleles and divided by two) that are likely to be useful for MALD analysis. For the AA population, analysis of >400 markers identified 97 EDMs. In addition, individual genotyping of these markers in Pima Amerindians, Yavapai Amerindians, European American (EA) individuals, Africans from Zimbabwe, MA individuals, and AA individuals, as well as comparison to the CEPH genotyping set, suggests that the differences between subpopulations of an ethnicity are small for many markers with large interethnic differences. Estimates of admixture that are based on individual genotyping of these markers are consistent with a 60% EA:40% Amerindian contribution to MA populations and with a 20% EA:80% African contribution to AA populations. Taken together, these data suggest that EDMs with large interpopulation and small intrapopulation differences can be readily identified for MALD studies in both AA and MA populations. PMID:11845411

  2. Nucleotide diversity and linkage disequilibrium in 11 expressed resistance candidate genes in Lolium perenne

    PubMed Central

    Xing, Yongzhong; Frei, Uschi; Schejbel, Britt; Asp, Torben; Lübberstedt, Thomas

    2007-01-01

    Background Association analysis is an alternative way for QTL mapping in ryegrass. So far, knowledge on nucleotide diversity and linkage disequilibrium in ryegrass is lacking, which is essential for the efficiency of association analyses. Results 11 expressed disease resistance candidate (R) genes including 6 nucleotide binding site and leucine rich repeat (NBS-LRR) like genes and 5 non-NBS-LRR genes were analyzed for nucleotide diversity. For each of the genes about 1 kb genomic fragments were isolated from 20 heterozygous genotypes in ryegrass. The number of haplotypes per gene ranged from 9 to 27. On average, one single nucleotide polymorphism (SNP) was present per 33 bp between two randomly sampled sequences for the 11 genes. NBS-LRR like gene fragments showed a high degree of nucleotide diversity, with one SNP every 22 bp between two randomly sampled sequences. NBS-LRR like gene fragments showed very high non-synonymous mutation rates, leading to altered amino acid sequences. Particularly LRR regions showed very high diversity with on average one SNP every 10 bp between two sequences. In contrast, non-NBS LRR resistance candidate genes showed a lower degree of nucleotide diversity, with one SNP every 112 bp. 78% of haplotypes occurred at low frequency (<5%) within the collection of 20 genotypes. Low intragenic LD was detected for most R genes, and rapid LD decay within 500 bp was detected. Conclusion Substantial LD decay was found within a distance of 500 bp for most resistance candidate genes in this study. Hence, LD based association analysis is feasible and promising for QTL fine mapping of resistance traits in ryegrass. PMID:17683574

  3. Population Structure, Genetic Variation, and Linkage Disequilibrium in Perennial Ryegrass Populations Divergently Selected for Freezing Tolerance

    PubMed Central

    Kovi, Mallikarjuna Rao; Fjellheim, Siri; Sandve, Simen R.; Larsen, Arild; Rudi, Heidi; Asp, Torben; Kent, Matthew Peter; Rognli, Odd Arne

    2015-01-01

    Low temperature is one of the abiotic stresses seriously affecting the growth of perennial ryegrass (Lolium perenne L.), and freezing tolerance is a complex trait of major agronomical importance in northern and central Europe. Understanding the genetic control of freezing tolerance would aid in the development of cultivars of perennial ryegrass with improved adaptation to frost. The plant material investigated in this study was an experimental synthetic population derived from pair-crosses among five European perennial ryegrass genotypes, representing adaptations to a range of climatic conditions across Europe. A total number of 80 individuals (24 of High frost [HF]; 29 of Low frost [LF], and 27 of Unselected [US]) from the second generation of the two divergently selected populations and an unselected (US) control population were genotyped using 278 genome-wide SNPs derived from perennial ryegrass transcriptome sequences. Our studies investigated the genetic diversity among the three experimental populations by analysis of molecular variance and population structure, and determined that the HF and LF populations are very divergent after selection for freezing tolerance, whereas the HF and US populations are more similar. Linkage disequilibrium (LD) decay varied across the seven chromosomes and the conspicuous pattern of LD between the HF and LF population confirmed their divergence in freezing tolerance. Furthermore, two Fst outlier methods; finite island model (fdist) by LOSITAN and hierarchical structure model using ARLEQUIN, both detected six loci under directional selection. These outlier loci are most probably linked to genes involved in freezing tolerance, cold adaptation, and abiotic stress. These six candidate loci under directional selection for freezing tolerance might be potential marker resources for breeding perennial ryegrass cultivars with improved freezing tolerance. PMID:26617611

  4. The heterogeneous levels of linkage disequilibrium in white spruce genes and comparative analysis with other conifers.

    PubMed

    Pavy, N; Namroud, M-C; Gagnon, F; Isabel, N; Bousquet, J

    2012-03-01

    In plants, knowledge about linkage disequilibrium (LD) is relevant for the design of efficient single-nucleotide polymorphism arrays in relation to their use in population and association genomics studies. Previous studies of conifer genes have shown LD to decay rapidly within gene limits, but exceptions have been reported. To evaluate the extent of heterogeneity of LD among conifer genes and its potential causes, we examined LD in 105 genes of white spruce (Picea glauca) by sequencing a panel of 48 haploid megagametophytes from natural populations and further compared it with LD in other conifer species. The average pairwise r(2) value was 0.19 (s.d.=0.19), and LD dropped quickly with a half-decay being reached at a distance of 65 nucleotides between sites. However, LD was significantly heterogeneous among genes. A first group of 29 genes had stronger LD (mean r(2)=0.28), and a second group of 38 genes had weaker LD (mean r(2)=0.12). While a strong relationship was found with the recombination rate, there was no obvious relationship between LD and functional classification. The level of nucleotide diversity, which was highly heterogeneous across genes, was also not significantly correlated with LD. A search for selection signatures highlighted significant deviations from the standard neutral model, which could be mostly attributed to recent demographic changes. Little evidence was seen for hitchhiking and clear relationships with LD. When compared among conifer species, on average, levels of LD were similar in genes from white spruce, Norway spruce and Scots pine, whereas loblolly pine and Douglas fir genes exhibited a significantly higher LD. PMID:21897435

  5. Extent of linkage disequilibrium in the domestic cat, Felis silvestris catus, and its breeds.

    PubMed

    Alhaddad, Hasan; Khan, Razib; Grahn, Robert A; Gandolfi, Barbara; Mullikin, James C; Cole, Shelley A; Gruffydd-Jones, Timothy J; Häggström, Jens; Lohi, Hannes; Longeri, Maria; Lyons, Leslie A

    2013-01-01

    Domestic cats have a unique breeding history and can be used as models for human hereditary and infectious diseases. In the current era of genome-wide association studies, insights regarding linkage disequilibrium (LD) are essential for efficient association studies. The objective of this study is to investigate the extent of LD in the domestic cat, Felis silvestris catus, particularly within its breeds. A custom illumina GoldenGate Assay consisting of 1536 single nucleotide polymorphisms (SNPs) equally divided over ten 1 Mb chromosomal regions was developed, and genotyped across 18 globally recognized cat breeds and two distinct random bred populations. The pair-wise LD descriptive measure (r(2)) was calculated between the SNPs in each region and within each population independently. LD decay was estimated by determining the non-linear least-squares of all pair-wise estimates as a function of distance using established models. The point of 50% decay of r(2) was used to compare the extent of LD between breeds. The longest extent of LD was observed in the Burmese breed, where the distance at which r(2) ≈ 0.25 was ∼380 kb, comparable to several horse and dog breeds. The shortest extent of LD was found in the Siberian breed, with an r(2) ≈ 0.25 at approximately 17 kb, comparable to random bred cats and human populations. A comprehensive haplotype analysis was also conducted. The haplotype structure of each region within each breed mirrored the LD estimates. The LD of cat breeds largely reflects the breeds' population history and breeding strategies. Understanding LD in diverse populations will contribute to an efficient use of the newly developed SNP array for the cat in the design of genome-wide association studies, as well as to the interpretation of results for the fine mapping of disease and phenotypic traits. PMID:23308248

  6. Geographic stratification of linkage disequilibrium: a worldwide population study in a region of chromosome 22

    PubMed Central

    2004-01-01

    Recent studies of haplotype diversity in a number of genomic regions have suggested that long stretches of DNA are preserved in the same chromosome, with little evidence of recombination events. The knowledge of the extent and strength of these haplotypes could become a powerful tool for future genetic analysis of complex traits. Different patterns of linkage disequilibrium (LD) have been found when comparing individuals of African and European descent, but there is scarce knowledge about the worldwide population stratification. Thus, the study of haplotype composition and the pattern of LD from a global perspective are relevant for elucidating their geographical stratification, as it may have implications in the future analysis of complex traits. We have typed 12 single nucleotide polymorphisms in a chromosome 22 region--previously described as having high LD levels in European populations -- in 39 different world populations. Haplotype structure has a clear continental structure with marked heterogeneity within some continents (Africa, America). The pattern of LD among neighbouring markers exhibits a strong clustering of all East Asian populations on the one hand and of Western Eurasian populations (including Europe) on the other, revealing only two major LD patterns, but with some very specific outliers due to specific demographic histories. Moreover, it should be taken into account that African populations are highly heterogeneous. The present results support the existence of a wide (but not total) communality in LD patterns in human populations from different continental regions, despite differences in their demographic histories, as population factors seem to be less relevant compared with genomic forces in shaping the patterns of LD. PMID:15606995

  7. Estimating contemporary effective population size on the basis of linkage disequilibrium in the face of migration.

    PubMed

    Waples, Robin S; England, Phillip R

    2011-10-01

    Effective population size (Ne) is an important genetic parameter because of its relationship to loss of genetic variation, increases in inbreeding, accumulation of mutations, and effectiveness of selection. Like most other genetic approaches that estimate contemporary Ne, the method based on linkage disequilibrium (LD) assumes a closed population and (in the most common applications) randomly recombining loci. We used analytical and numerical methods to evaluate the absolute and relative consequences of two potential violations of the closed-population assumption: (1) mixture LD caused by occurrence of more than one gene pool, which would downwardly bias Ne and (2) reductions in drift LD (and hence upward bias in Ne) caused by an increase in the number of parents responsible for local samples. The LD method is surprisingly robust to equilibrium migration. Effects of mixture LD are small for all values of migration rate (m), and effects of additional parents are also small unless m is high in genetic terms. LD estimates of Ne therefore accurately reflect local (subpopulation) Ne unless m>∼5-10%. With higher m, Ne converges on the global (metapopulation) Ne. Two general exceptions were observed. First, equilibrium migration that is rare and hence episodic can occasionally lead to substantial mixture LD, especially when sample size is small. Second, nonequilibrium, pulse migration of strongly divergent individuals can also create strong mixture LD and depress estimates of local Ne. In both cases, assignment tests, Bayesian clustering, and other methods often will allow identification of recent immigrants that strongly influence results. In simulations involving equilibrium migration, the standard LD method performed better than a method designed to jointly estimate Ne and m. The above results assume loci are not physically linked; for tightly linked loci, the LD signal from past migration events can persist for many generations, with consequences for Ne estimates

  8. Effects of overlapping generations on linkage disequilibrium estimates of effective population size.

    PubMed

    Waples, Robin S; Antao, Tiago; Luikart, Gordon

    2014-06-01

    Use of single-sample genetic methods to estimate effective population size has skyrocketed in recent years. Although the underlying models assume discrete generations, they are widely applied to age-structured species. We simulated genetic data for 21 iteroparous animal and plant species to evaluate two untested hypotheses regarding performance of the single-sample method based on linkage disequilibrium (LD): (1) estimates based on single-cohort samples reflect the effective number of breeders in one reproductive cycle (Nb), and (2) mixed-age samples reflect the effective size per generation (Ne). We calculated true Ne and Nb, using the model species' vital rates, and verified these with individual-based simulations. We show that single-cohort samples should be equally influenced by Nb and Ne and confirm this with simulated results: [Formula: see text] was a linear (r(2) = 0.98) function of the harmonic mean of Ne and Nb. We provide a quantitative bias correction for raw [Formula: see text] based on the ratio Nb/Ne, which can be estimated from two or three simple life history traits. Bias-adjusted estimates were within 5% of true Nb for all 21 study species and proved robust when challenged with new data. Mixed-age adult samples produced downwardly biased estimates in all species, which we attribute to a two-locus Wahlund effect (mixture LD) caused by combining parents from different cohorts in a single sample. Results from this study will facilitate interpretation of rapidly accumulating genetic estimates in terms of both Ne (which influences long-term evolutionary processes) and Nb (which is more important for understanding eco-evolutionary dynamics and mating systems). PMID:24717176

  9. Effects of Overlapping Generations on Linkage Disequilibrium Estimates of Effective Population Size

    PubMed Central

    Waples, Robin S.; Antao, Tiago; Luikart, Gordon

    2014-01-01

    Use of single-sample genetic methods to estimate effective population size has skyrocketed in recent years. Although the underlying models assume discrete generations, they are widely applied to age-structured species. We simulated genetic data for 21 iteroparous animal and plant species to evaluate two untested hypotheses regarding performance of the single-sample method based on linkage disequilibrium (LD): (1) estimates based on single-cohort samples reflect the effective number of breeders in one reproductive cycle (Nb), and (2) mixed-age samples reflect the effective size per generation (Ne). We calculated true Ne and Nb, using the model species’ vital rates, and verified these with individual-based simulations. We show that single-cohort samples should be equally influenced by Nb and Ne and confirm this with simulated results: N^b was a linear (r2 = 0.98) function of the harmonic mean of Ne and Nb. We provide a quantitative bias correction for raw N^b based on the ratio Nb/Ne, which can be estimated from two or three simple life history traits. Bias-adjusted estimates were within 5% of true Nb for all 21 study species and proved robust when challenged with new data. Mixed-age adult samples produced downwardly biased estimates in all species, which we attribute to a two-locus Wahlund effect (mixture LD) caused by combining parents from different cohorts in a single sample. Results from this study will facilitate interpretation of rapidly accumulating genetic estimates in terms of both Ne (which influences long-term evolutionary processes) and Nb (which is more important for understanding eco-evolutionary dynamics and mating systems). PMID:24717176

  10. The extent of linkage disequilibrium in beef cattle breeds using high-density SNP genotypes

    PubMed Central

    2014-01-01

    Background The extent of linkage disequilibrium (LD) between molecular markers impacts genome-wide association studies and implementation of genomic selection. The availability of high-density single nucleotide polymorphism (SNP) genotyping platforms makes it possible to investigate LD at an unprecedented resolution. In this work, we characterised LD decay in breeds of beef cattle of taurine, indicine and composite origins and explored its variation across autosomes and the X chromosome. Findings In each breed, LD decayed rapidly and r2 was less than 0.2 for marker pairs separated by 50 kb. The LD decay curves clustered into three groups of similar LD decay that distinguished the three main cattle types. At short distances between markers (< 10 kb), taurine breeds showed higher LD (r2 = 0.45) than their indicine (r2 = 0.25) and composite (r2 = 0.32) counterparts. This higher LD in taurine breeds was attributed to a smaller effective population size and a stronger bottleneck during breed formation. Using all SNPs on only the X chromosome, the three cattle types could still be distinguished. However for taurine breeds, the LD decay on the X chromosome was much faster and the background level much lower than for indicine breeds and composite populations. When using only SNPs that were polymorphic in all breeds, the analysis of the X chromosome mimicked that of the autosomes. Conclusions The pattern of LD mirrored some aspects of the history of breed populations and showed a sharp decay with increasing physical distance between markers. We conclude that the availability of the HD chip can be used to detect association signals that remained hidden when using lower density genotyping platforms, since LD dropped below 0.2 at distances of 50 kb. PMID:24661366

  11. Linkage disequilibrium at the APA insecticidal seed protein locus of common bean (Phaseolus vulgaris L.)

    PubMed Central

    2010-01-01

    Background An interesting seed protein family with a role in preventing insect herbivory is the multi-gene, APA family encoding the α-amylase inhibitor, phytohemagglutinin and arcelin proteins of common bean (Phaseolus vulgaris). Variability for this gene family exists and has been exploited to breed for insect resistance. For example, the arcelin locus has been successfully transferred from wild to cultivated common bean genotypes to provide resistance against the bruchid species Zabrotes subfasciatus although the process has been hampered by a lack of genetic tools for and understanding about the locus. In this study, we analyzed linkage disequilibrium (LD) between microsatellite markers at the APA locus and bruchid resistance in a germplasm survey of 105 resistant and susceptible genotypes and compared this with LD in other parts of the genome. Results Microsatellite allele diversity was found to vary with each of the eight APA-linked markers analyzed, and two markers within the APA locus were found to be diagnostic for bruchid resistance or susceptibility and for the different arcelin alleles inherited from the wild accessions. Arc1 was found to provide higher levels of resistance than Arc5 and the markers in the APA locus were highly associated with resistance showing that introgression of this gene-family from wild beans provides resistance in cultivated beans. LD around the APA locus was found to be intermediate compared to other regions of the genome and the highest LD was found within the APA locus itself for example between the markers PV-atct001 and PV-ag004. Conclusions We found the APA locus to be an important genetic determinant of bruchid resistance and also found that LD existed mostly within the APA locus but not beyond it. Moderate LD was also found for some other regions of the genome perhaps related to domestication genes. The LD pattern may reflect the introgression of arcelin from the wild into the cultivated background through breeding. LD

  12. Linkage disequilibrium between an allele at the dopamine D4 receptor locus and Tourette syndrome, by the transmission-disequilibrium test

    SciTech Connect

    Grice, D.E.; Gelernter, J.; Leckman, J.F.; Pauls, D.L.

    1996-09-01

    Dopaminergic abnormalities are implicated in the pathogenesis of Tourette syndrome (TS) and chronic multiple tics. We used the transmission-disequilibrium test (TDT) method to test for linkage disequilibrium between a specific allele (the seven-repeat allele (DRD4*7R) of the exon 3 VNTR polymorphic site) at the D4 dopamine receptor locus (DRD4) and expression of chronic multiple tics and TS. This particular allele had been shown in functional studies to have different binding properties compared with the other common alleles in this DRD4 polymorphic system. We studied 64 family trios (consisting of an affected person and two parents, at least one heterozygous for DRD4*7R), including 12 nuclear family trios and 52 trios from four large TS kindreds. The DRD4*7R allele was transmitted significantly more frequently than expected ({chi}{sup 2}{sub TDT} ranging from 8.47 [P < .004] to 10.80 [P = .001], depending on breadth of disease definition and inclusion or exclusion of inferred genotypes). Confirmation of this finding will depend on either replication in other samples or the identification of a transmitted functional mutation within this sample. 56 refs., 2 figs., 3 tabs.

  13. Genome-wide patterns of segregation and linkage disequilibrium: the construction of a linkage genetic map of the poplar rust fungus Melampsora larici-populina

    PubMed Central

    Pernaci, Michaël; De Mita, Stéphane; Andrieux, Axelle; Pétrowski, Jérémy; Halkett, Fabien; Duplessis, Sébastien; Frey, Pascal

    2014-01-01

    The poplar rust fungus Melampsora larici-populina causes significant yield reduction and severe economic losses in commercial poplar plantations. After several decades of breeding for qualitative resistance and subsequent breakdown of the released resistance genes, breeders now focus on quantitative resistance, perceived to be more durable. But quantitative resistance also can be challenged by an increase of aggressiveness in the pathogen. Thus, it is of primary importance to better understand the genetic architecture of aggressiveness traits. To this aim, our goal is to build a genetic linkage map for M. larici-populina in order to map quantitative trait loci related to aggressiveness. First, a large progeny of M. larici-populina was generated through selfing of the reference strain 98AG31 (which genome sequence is available) on larch plants, the alternate host of the poplar rust fungus. The progeny's meiotic origin was validated through a segregation analysis of 115 offspring with 14 polymorphic microsatellite markers, of which 12 segregated in the expected 1:2:1 Mendelian ratio. A microsatellite-based linkage disequilibrium analysis allowed us to identify one potential linkage group comprising two scaffolds. The whole genome of a subset of 47 offspring was resequenced using the Illumina HiSeq 2000 technology at a mean sequencing depth of 6X. The reads were mapped onto the reference genome of the parental strain and 144,566 SNPs were identified across the genome. Analysis of distribution and polymorphism of the SNPs along the genome led to the identification of 2580 recombination blocks. A second linkage disequilibrium analysis, using the recombination blocks as markers, allowed us to group 81 scaffolds into 23 potential linkage groups. These preliminary results showed that a high-density linkage map could be constructed by using high-quality SNPs based on low-coverage resequencing of a larger number of M. larici-populina offspring. PMID:25309554

  14. Refined assignment of the infantile neuronal ceroid lipofuscinosis (INCL, CLN1) locus at 1p32: Incorporation of linkage disequilibrium in multipoint analysis

    SciTech Connect

    Hellsten, E.; Vesa, J.; Peltonen, L.; Jaervela, I. ); Speer, M.C.; Ott, J. New York State Psychiatric Institute, New York ); Maekelae, T.P.; Alitalo, K. )

    1993-06-01

    Infantile neuronal ceroid lipofuscinosis, INCL, CLN1, is an autosomally inherited progressive neuro-generative disorder. The disease results in the massive death of cortical neurons, suggesting an essential role for the CLN1 gene product in the normal neuronal maturation during the first years of life. Identification of new multiallelic markers has now made possible the construction of a refined genetic map encompassing the CLN1 locus at 1p32. Strong allelic association was detected with a new, highly polymorphic HY-TM1 marker. The authors incorporated this observed linkage disequilibrium into multipoint linkage analysis, which significantly increased the informativeness of the limited family material and facilitated refined assignment of the CLN1 locus. 23 refs., 2 figs., 4 tabs.

  15. Anonymous marker loci within 400 kb of HLA-A generate haplotypes in linkage disequilibrium with the hemochromatosis gene (HFE)

    SciTech Connect

    Yaouanq, J.; Perichon, M.; Treut, A.L.; Kahloun, A.E.; Mauvieux, V.; Blayau, M.; Jouanolle, A.M.; Chauvel, B.; Le Gall, J.Y.; David, V. )

    1994-02-01

    The hemochromatosis gene (HFE) maps to 6p21.3 and is less than 1 cM from the HLA class I gene; however, the precise physical location of the gene has remained elusive and controversial. The unambiguous identification of a crossover event within hemochromatosis families is very difficult; it is particularly hampered by the variability of the phenotypic expression as well as by the sex- and age-related penetrance of the disease. For these considerations, traditional linkage analysis could prove of limited value in further refining the extrapolated physical position of HFE. The authors therefore embarked upon a linkage-disequilibrium analysis of HFE and normal chromosomes for the Brittany population. In this report, 66 hemochromatosis families yielding 151 hemochromatosis chromosomes and 182 normal chromosomes were RFLP-typed with a battery of probes, including two newly derived polymorphic markers from the 6.7 and HLA-F loci located 150 and 250 kb telomeric to HLA-A, respectively. The results suggest a strong peak of existing linkage disequilibrium focused within the i82-to-6.7 interval (approximately 250 kb). The zone of linkage disequilibrium is flanked by the i97 locus, positioned 30 kb proximal to i82, and the HLA-F gene, found 250 kb distal to HLA-A, markers of which display no significant association with HFE. These data support the possibility that HFE resides within the 400-kb expanse of DNA between i97 and HLA-F. Alternatively, the very tight association of HLA-A3 and allele 1 of the 6.7 locus, both of which are comprised by the major ancestral or founder HFE haplotype in Brittany, supports the possibility that the disease gene may reside immediately telomeric to the 6.7 locus within the linkage-disequilibrium zone. Additionally, hemochromatosis haplotypes possessing HLA-A11 and the low-frequency HLA-F polymorphism (allele 2) are supportive of a separate founder chromosome containing a second, independently arising mutant allele. 69 refs., 1 fig., 5 tabs.

  16. Microsatellites haplotyping of CF chromosomes shows linkage disequilibrium and several founder effects in Brittany (France)

    SciTech Connect

    Raguenes, O.; Ferec, C.; Mercier, B.

    1994-09-01

    A large study on cystic fibrosis (CF) is underway in Brittany (France). It is based on 902 CF patients distributed in 795 families who were or are still followed at the {open_quotes}Centre Helio-Marin{close_quotes} in Roscoff and/or were subjected to a molecular analysis at the {open_quotes}Centre de Biogenetique{close_quotes} in Brest. At present, the CF mutations have been identified in 309 patients born in Brittany, most of them of Celtic origin. A microsatellite (MS) study using IVS 17b TA, IVS 17b CA and IVS 8 CA was also completed in 63 CF patients and their parents (carriers of the {Delta}F508 mutation or the G551D mutation or the 1078delT mutation or the W846X mutation). All the 21 chromosomes carrying the 1078delT mutation had the same MS haplotype (16-21-13), which was also found on 9 of the 83 non-CF chromosomes analyzed. All the 16 chromosomes with the G551D mutation carried another MS haplotype (16-7-17), which was also found on 13.3% of the non-CF chromosomes. All the 6 chromosomes with the W846X mutation carried the 16-32-13 haplotype, also found on 6.0% of the non-CF chromosomes. Sixteen different MS haplotypes were found among the 74 chromosomes carrying the{Delta}F508 mutation, three of them representing 74.3% (55/74) of the chromosomes. These were the 23-31-13 haplotype (31/74 - 41.9%), the 17-31-13 haplotype (11/74 - 14.9%), and the 17-32-13 haplotype (13/74 - 17.6%). These results show that the CF mutations observed in Brittany are in linkage disequilibrium with the MS haplotypes. They also suggest that their presence in Brittany is the consequence of several founder effects.

  17. The age of human mutation: genealogical and linkage disequilibrium analysis of the CLN5 mutation in the Finnish population.

    PubMed Central

    Varilo, T.; Savukoski, M.; Norio, R.; Santavuori, P.; Peltonen, L.; Järvelä, I.

    1996-01-01

    Variant late infantile neuronal ceroid lipofuscinosis (vLINCL) is an autosomal recessive progressive encephalopathy of childhood enriched in the western part of Finland, with a local incidence of 1 in 1500. We recently assigned the locus for vLINCL, CLN5, to 13q21.1-q32. In the present study, the haplotype analysis of Finnish CLN5 chromosomes provides evidence that one single mutation causes vLINCL in the Finnish population. Eight microsatellite markers closely linked to the CLN5 gene on chromosome 13q were analyzed, to study identity by descent by shared haplotype analysis. One single haplotype formed by flanking markers D13S160 and D13S162 in strong linkage disequilibrium (P < .0001) was present in 81% of disease-bearing chromosomes. Allele 4 at the marker locus D13S162 was detected in 94% of disease-bearing chromosomes. To evaluate the age of the CLN5 mutation by virtue of its restricted geographical distribution, church records were used to identify the common ancestors for 18 vLINCL families diagnosed in Finland. The pedigrees of the vLINCL ancestors merged on many occasions, which also supports a single founder mutation that obviously happened 20 to 30 generations ago (i.e., approximately 500 years ago) in this isolated population. Linkage disequilibrium was detected with seven markers covering an extended genetic distance of 11 cM, which further supports the young age of the CLN5 mutation. When the results of genealogical and linkage disequilibrium studies were combined, the CLN5 gene was predicted to lie approximately 200 - 400 kb (total range 30 - 1360 kb) from the closest marker D13S162. Images Figure 1 PMID:8644710

  18. Conservative Extensions of Linkage Disequilibrium Measures from Pairwise to Multi-loci and Algorithms for Optimal Tagging SNP Selection

    NASA Astrophysics Data System (ADS)

    Tarpine, Ryan; Lam, Fumei; Istrail, Sorin

    We present results on two classes of problems. The first result addresses the long standing open problem of finding unifying principles for Linkage Disequilibrium (LD) measures in population genetics (Lewontin 1964 [10], Hedrick 1987 [8], Devlin and Risch 1995 [5]). Two desirable properties have been proposed in the extensive literature on this topic and the mutual consistency between these properties has remained at the heart of statistical and algorithmic difficulties with haplotype and genome-wide association study analysis. The first axiom is (1) The ability to extend LD measures to multiple loci as a conservative extension of pairwise LD. All widely used LD measures are pairwise measures. Despite significant attempts, it is not clear how to naturally extend these measures to multiple loci, leading to a "curse of the pairwise". The second axiom is (2) The Interpretability of Intermediate Values. In this paper, we resolve this mutual consistency problem by introducing a new LD measure, directed informativeness overrightarrow{I} (the directed graph theoretic counterpart of the informativeness measure introduced by Halldorsson et al. [6]) and show that it satisfies both of the above axioms. We also show the maximum informative subset of tagging SNPs based on overrightarrow{I} can be computed exactly in polynomial time for realistic genome-wide data. Furthermore, we present polynomial time algorithms for optimal genome-wide tagging SNPs selection for a number of commonly used LD measures, under the bounded neighborhood assumption for linked pairs of SNPs. One problem in the area is the search for a quality measure for tagging SNPs selection that unifies the LD-based methods such as LD-select (implemented in Tagger, de Bakker et al. 2005 [4], Carlson et al. 2004 [3]) and the information-theoretic ones such as informativeness. We show that the objective function of the LD-select algorithm is the Minimal Dominating Set (MDS) on r 2-SNP graphs and show that we can

  19. A tetranucleotide repeat (D4S1652) is linked to facioscapulohumeral dystrophy and shows no linkage disequilibrium with the disease

    SciTech Connect

    Mathews, K.D.; Bailey, H.L.; Mills, K.A.

    1994-09-01

    Facioscapulohumeral dystrophy (FSHD) is an autosomal dominant dystrophy which is associated with a deletion in a subtelomeric repeat element on 4q35. The gene has not yet been identified. The probe detecting this deletion (D4F104S1) is not chromosome 4-specific, and at least one large family has been identified which is not linked to chromosome 4. Thus, persymptomatic/prenatal diagnosis can only be provided to families that are proven to be chromosome 4-linked or where a new mutation is demonstrated. The markers available to demonstrate linkage to chromosome 4, D4S139, D4S163, and D4F35S1, are VNTRs. We have used D4S1652, a tetranucleotide repeat recently identified by the Cooperative Human Linkage Center, in our FSHD families. We found it is completely linked to the 4q35 VNTRs and to the disease phenotype. Physical mapping, using radiation hybrids and somatic cell hybrids, places D4S1652 between D4S139, an interval of approximately 1 Mb. We have used D4S1652 to look for linkage disequilibrium in our FSHD patient population. This result is of interest because of our hypothesis that the deletion in the subtelomeric repeat element alters transcription of a more proximal gene through a position effect. Previously available markers have been unsatisfactory for this experiment because of difficulty comparing numerous VNTR alleles across families. We observed 4, easily distinguished, D4S1652 alleles in our families. We studied 14 chromosomes associated with disease phenotype and 55 chromosomes from nontransmitting parents. We found no evidence for linkage disequilibrium ({chi}{sup 2}=1.313, nonsignificant). This result will need confirmation with a larger patient population, but is consistent with the clinical observation that there is a high rate of a new mutation in this disorder.

  20. Linkage Disequilibrium Estimation of Effective Population Size with Immigrants from Divergent Populations: A Case Study on Spanish Mackerel (Scomberomorus commerson).

    PubMed

    Macbeth, Gilbert Michael; Broderick, Damien; Buckworth, Rik C; Ovenden, Jennifer R

    2013-03-11

    Estimates of genetic effective population size (Ne) using molecular markers are a potentially useful tool for the management of endangered through to commercial species. But, pitfalls are predicted when the effective size is large, as estimates require large numbers of samples from wild populations for statistical validity. Our simulations showed that linkage disequilibrium estimates of Ne up to 10,000 with finite confidence limits can be achieved with sample sizes around 5000. This was deduced from empirical allele frequencies of seven polymorphic microsatellite loci in a commercially harvested fisheries species, the narrow barred Spanish mackerel (Scomberomorus commerson). As expected, the smallest standard deviation of Ne estimates occurred when low frequency alleles were excluded. Additional simulations indicated that the linkage disequilibrium method was sensitive to small numbers of genotypes from cryptic species or conspecific immigrants. A correspondence analysis algorithm was developed to detect and remove outlier genotypes that could possibly be inadvertently sampled from cryptic species or non-breeding immigrants from genetically separate populations. Simulations demonstrated the value of this approach in Spanish mackerel data. When putative immigrants were removed from the empirical data, 95% of the Ne estimates from jacknife resampling were above 24,000. PMID:23550119

  1. Linkage Disequilibrium Estimation of Effective Population Size with Immigrants from Divergent Populations: A Case Study on Spanish Mackerel (Scomberomorus commerson)

    PubMed Central

    Macbeth, Gilbert Michael; Broderick, Damien; Buckworth, Rik C.; Ovenden, Jennifer R.

    2013-01-01

    Estimates of genetic effective population size (Ne) using molecular markers are a potentially useful tool for the management of endangered through to commercial species. However, pitfalls are predicted when the effective size is large because estimates require large numbers of samples from wild populations for statistical validity. Our simulations showed that linkage disequilibrium estimates of Ne up to 10,000 with finite confidence limits can be achieved with sample sizes of approximately 5000. This number was deduced from empirical allele frequencies of seven polymorphic microsatellite loci in a commercially harvested fisheries species, the narrow-barred Spanish mackerel (Scomberomorus commerson). As expected, the smallest SD of Ne estimates occurred when low-frequency alleles were excluded. Additional simulations indicated that the linkage disequilibrium method was sensitive to small numbers of genotypes from cryptic species or conspecific immigrants. A correspondence analysis algorithm was developed to detect and remove outlier genotypes that could possibly be inadvertently sampled from cryptic species or nonbreeding immigrants from genetically separate populations. Simulations demonstrated the value of this approach in Spanish mackerel data. When putative immigrants were removed from the empirical data, 95% of the Ne estimates from jacknife resampling were greater than 24,000. PMID:23550119

  2. Short Communication Mendelian inheritance, linkage, and genotypic disequilibrium in microsatellite loci of Hymenaea stigonocarpa Mart. ex Hayne (Fabaceae-Caesalpinioideae).

    PubMed

    Moraes, M A; Kubota, T Y K; Silva, E C B; Silva, A M; Cambuim, J; Moraes, M L T; Furlani Junior, E; Sebbenn, A M

    2016-01-01

    Hymenaea stigonocarpa is a deciduous and monoecious Neotropical tree species pollinated by bats. Due to overexploitation and habitat destruction, the population size has drastically diminished in nature. No previous study has investigated Mendelian inheritance, linkage, and genotypic disequilibrium in the available microsatellite markers in this species. So, our aim was to estimate these parameters using six microsatellite loci in a sample of 470 adults and 219 juveniles from two populations of H. stigonocarpa. In addition, 30 seeds per tree from 35 seed-trees were collected. Each seed was kept record of the seed-trees and fruit origin. Based on the six microsatellite loci, we found that only 10.6% of the cases showed significant deviations from Mendelian segregation and 15.3% showed linkage. We detected no evidence of genotypic disequilibrium between the loci in the adult trees or juveniles. Thus, our results suggest that these loci can be used with great accuracy in future genetic analyses of H. stigonocarpa populations. PMID:27525897

  3. Estimating Effective Population Size from Linkage Disequilibrium between Unlinked Loci: Theory and Application to Fruit Fly Outbreak Populations

    PubMed Central

    Sved, John A; Cameron, Emilie C.; Gilchrist, A. Stuart

    2013-01-01

    There is a substantial literature on the use of linkage disequilibrium (LD) to estimate effective population size using unlinked loci. The estimates are extremely sensitive to the sampling process, and there is currently no theory to cope with the possible biases. We derive formulae for the analysis of idealised populations mating at random with multi-allelic (microsatellite) loci. The ‘Burrows composite index’ is introduced in a novel way with a ‘composite haplotype table’. We show that in a sample of diploid size , the mean value of or from the composite haplotype table is biased by a factor of , rather than the usual factor for a conventional haplotype table. But analysis of population data using these formulae leads to estimates that are unrealistically low. We provide theory and simulation to show that this bias towards low estimates is due to null alleles, and introduce a randomised permutation correction to compensate for the bias. We also consider the effect of introducing a within-locus disequilibrium factor to , and find that this factor leads to a bias in the estimate. However this bias can be overcome using the same randomised permutation correction, to yield an altered with lower variance than the original , and one that is also insensitive to null alleles. The resulting formulae are used to provide estimates on 40 samples of the Queensland fruit fly, Bactrocera tryoni, from populations with widely divergent expectations. Linkage relationships are known for most of the microsatellite loci in this species. We find that there is little difference in the estimated values from using known unlinked loci as compared to using all loci, which is important for conservation studies where linkage relationships are unknown. PMID:23894410

  4. Linkage Disequilibrium Mapping of the Chromosome 6q21–22.31 Bipolar I Disorder Susceptibility Locus

    PubMed Central

    Fan, Jinbo; Ionita-Laza, Iuliana; McQueen, Matthew B.; Devlin, Bernie; Purcell, Shaun; Faraone, Stephen V.; Allen, Michael H.; Bowden, Charles L.; Calabrese, Joseph R.; Fossey, Mark D.; Friedman, Edward S.; Gyulai, Laszlo; Hauser, Peter; Ketter, Terence B.; Marangell, Lauren B.; Miklowitz, David J.; Nierenberg, Andrew A.; Patel, Jayendra K.; Sachs, Gary S.; Thase, Michael E.; Molay, Francine B.; Escamilla, Michael A.; Nimgaonkar, Vishwajit L.; Sklar, Pamela; Laird, Nan M.; Smoller, Jordan W.

    2014-01-01

    We previously reported genome-wide significant evidence for linkage between chromosome 6q and bipolar I disorder (BPI) by performing a meta-analysis of original genotype data from 11 genome scan linkage studies. We now present follow-up linkage disequilibrium mapping of the linked region utilizing 3,047 single nucleotide polymorphism (SNP) markers in a case–control sample (N = 530 cases, 534 controls) and family-based sample (N = 256 nuclear families, 1,301 individuals). The strongest single SNP result (rs6938431, P=6.72× 10−5) was observed in the case–control sample, near the solute carrier family 22, member 16 gene (SLC22A16). In a replication study, we genotyped 151 SNPs in an independent sample (N = 622 cases, 1,181 controls) and observed further evidence of association between variants at SLC22A16 and BPI. Although consistent evidence of association with any single variant was not seen across samples, SNP-wise and gene-based test results in the three samples provided convergent evidence for association with SLC22A16, a carnitine transporter, implicating this gene as a novel candidate for BPI risk. Further studies in larger samples are warranted to clarify which, if any, genes in the 6q region confer risk for bipolar disorder. PMID:19308960

  5. Linkage disequilibrium and haplotype studies of chromosome 8p 11. 1-21. 1 markers and Werner syndrome

    SciTech Connect

    Yu, Chang-En; Schellenberg, G.D.; Oshima, Junko; Martin, G.M.; Goddard, K.A.B.; Wijsman, E.M. ); Miki, Tetsuro; Nakura, Jun; Ogihara, Toshio ); Poot, M.; Hoehn, H. )

    1994-08-01

    Werner syndrome (WS) is an autosomal recessive disorder, characterized as a progeroid syndrome, previously mapped to the 8p 11.2-21.1 region. Because WS is so rare, and because many patients are from consanguineous marriages, fine localization of the gene by traditional meiotic mapping methods is unlikely to succeed. Here the authors present the results of a search for a region that exhibits linkage disequilibrium with the disorder, under the assumption that identification of such a region may provide an alternative method of narrowing down the location of WRN, the gene responsible for WS. They present allele frequencies in Japanese and Caucasian cases and controls for D8S137, D8S131, D8S87, D8S278, D8S259, D8S283, fibroblast growth factor receptor 1, ankyrin 1, D8S339, and two polymorphisms in glutathione reductase (GSR), covering [approximately] 16.5 cM in total. They show that three of the markers examined - D8S339 and both polymorphisms in the GSR locus - show strong statistically significant evidence of disequilibrium with WRN in the Japanese population but not in the Caucasian population. In addition, they show that a limited number of haplotypes are associated with the disease in both populations and that these haplotypes define clusters of apparently related haplotypes that may identify as many as eight or nine independent WRN mutations in these two populations. 36 refs., 1 fig., 4 tabs.

  6. Population genetic structure, linkage disequilibrium and effective population size of conserved and extensively raised village chicken populations of Southern Africa

    PubMed Central

    Khanyile, Khulekani S.; Dzomba, Edgar F.; Muchadeyi, Farai C.

    2015-01-01

    Extensively raised village chickens are considered a valuable source of biodiversity, with genetic variability developed over thousands of years that ought to be characterized and utilized. Surveys that can reveal a population's genetic structure and provide an insight into its demographic history will give valuable information that can be used to manage and conserve important indigenous animal genetic resources. This study reports population diversity and structure, linkage disequilibrium and effective population sizes of Southern African village chickens and conservation flocks from South Africa. DNA samples from 312 chickens from South African village and conservation flocks (n = 146), Malawi (n = 30) and Zimbabwe (n = 136) were genotyped using the Illumina iSelect chicken SNP60K BeadChip. Population genetic structure analysis distinguished the four conservation flocks from the village chicken populations. Of the four flocks, the Ovambo clustered closer to the village chickens particularly those sampled from South Africa. Clustering of the village chickens followed a geographic gradient whereby South African chickens were closer to those from Zimbabwe than to chickens from Malawi. Different conservation flocks seemed to have maintained different components of the ancestral genomes with a higher proportion of village chicken diversity found in the Ovambo population. Overall population LD averaged over chromosomes ranged from 0.03 ± 0.07 to 0.58 ± 0.41 and averaged 0.15 ± 0.16. Higher LD, ranging from 0.29 to 0.36, was observed between SNP markers that were less than 10 kb apart in the conservation flocks. LD in the conservation flocks steadily decreased to 0.15 (PK) and 0.24 (VD) at SNP marker interval of 500 kb. Genomewide LD decay in the village chickens from Malawi, Zimbabwe and South Africa followed a similar trend as the conservation flocks although the mean LD values for the investigated SNP intervals were lower. The results suggest low effective

  7. Linkage disequilibrium and population-structure analysis among Capsicum annuum L. cultivars for use in association mapping.

    PubMed

    Nimmakayala, Padma; Abburi, Venkata L; Abburi, Lavanya; Alaparthi, Suresh Babu; Cantrell, Robert; Park, Minkyu; Choi, Doil; Hankins, Gerald; Malkaram, Sridhar; Reddy, Umesh K

    2014-08-01

    Knowledge of population structure and linkage disequilibrium among the worldwide collections of peppers currently classified as hot, mild, sweet and ornamental types is indispensable for applying association mapping and genomic selection to improve pepper. The current study aimed to resolve the genetic diversity and relatedness of Capsicum annuum germplasm by use of simple sequence repeat (SSR) loci across all chromosomes in samples collected in 2011 and 2012. The physical distance covered by the entire set of SSRs used was 2,265.9 Mb from the 3.48-Gb hot-pepper genome size. The model-based program STRUCTURE was used to infer five clusters, which was further confirmed by classical molecular-genetic diversity analysis. Mean heterozygosity of various loci was estimated to be 0.15. Linkage disequilibrium (LD) was used to identify 17 LD blocks across various chromosomes with sizes from 0.154 Kb to 126.28 Mb. CAMS-142 of chromosome 1 was significantly associated with both capsaicin (CA) and dihydrocapsaicin (DCA) levels. Further, CAMS-142 was located in an LD block of 98.18 Mb. CAMS-142 amplified bands of 244, 268, 283 and 326 bp. Alleles 268 and 283 bp had positive effects on both CA and DCA levels, with an average R(2) of 12.15 % (CA) and 12.3 % (DCA). Eight markers from seven different chromosomes were significantly associated with fruit weight, contributing an average effect of 15 %. CAMS-199, HpmsE082 and CAMS-190 are the three major quantitative trait loci located on chromosomes 8, 9, and 10, respectively, and were associated with fruit weight in samples from both years of the study. This research demonstrates the effectiveness of using genome-wide SSR-based markers to assess features of LD and genetic diversity within C. annuum. PMID:24585251

  8. EVALUATION OF GENETIC DIVERSITY AND GENOME-WIDE LINKAGE DISEQUILIBRIUM AMOUNG US WHEAT (TRITICUM AETIVUM L.) GERMPLASM REPRESENTING DIFFERENT MARKET CLASSES

    Technology Transfer Automated Retrieval System (TEKTRAN)

    Genetic diversity and genome-wide linkage disequilibrium (LD) were investigated among forty-three US wheat (Triticum aestivum L.) elite cultivars and breeding lines representing seven US wheat market classes using 242 wheat genomic simple sequence repeat (SSR) markers distributed throughout the whea...

  9. Single nucleotide polymorphisms generated by genotyping by sequencing to characterize genome-wide diversity, linkage disequilibrium, and selective sweeps in cultivated watermelon

    Technology Transfer Automated Retrieval System (TEKTRAN)

    Large datasets containing single nucleotide polymorphisms (SNPs) are used to analyze genome-wide diversity in a robust collection of cultivars from representative accessions, across the world. The extent of linkage disequilibrium (LD) within a population determines the number of markers required fo...

  10. Linkage disequilibrium levels in Bos indicus and Bos taurus cattle using medium and high density SNP chip data and different minor allele frequency distributions

    Technology Transfer Automated Retrieval System (TEKTRAN)

    Linkage disequilibrium (LD), the observed correlation between alleles at different loci in the genome, is a determinant parameter in many applications of molecular genetics. With the wider use of genomic technologies in animal breeding and animal genetics, it is worthwhile revising and improving the...

  11. Evaluation of genetic diversity and genome-wide linkage disequilibrium among US wheat (Triticum aestivum L.) germplasm representing different market classes

    Technology Transfer Automated Retrieval System (TEKTRAN)

    Genetic diversity and genome-wide linkage disequilibrium (LD) were investigated among forty-three U.S. wheat (Triticum aestivum L.) elite cultivars and breeding lines representing seven U.S. wheat market classes using 242 wheat genomic simple sequence repeat (SSR) markers distributed throughout the ...

  12. HLA class II linkage disequilibrium and haplotype evolution in the Cayapa Indians of Ecuador

    SciTech Connect

    Trachtenberg, E.A.; Erlich, H.A.; Klitz, W.

    1995-08-01

    DNA-based typing of the HLA class II loci in a sample of the Cayapa Indians of Ecuador reveals several lines of evidence that selection has operated to maintain and to diversify the existing level of polymorphism in the class II region. As has been noticed for other Native American groups, the overall level of polymorphism at the DRB1, DQA1, DQB1, and DPB1 loci is reduced relative to that found in other human populations. Nonetheless, the relative eveness in the distribution of allele frequencies at each of the four loci points to the role of balancing selection in the maintenance of the polymorphism. The DQA1 and DQB1 loci, in particular, have near-maximum departures from the neutrality model, which suggests that balancing selection has been especially strong in these cases. Several novel DQA1-DQB1 haplotypes and the discovery of a new DRB1 allele demonstrate an evolutionary tendency favoring the diversification of class II alleles and haplotypes. The recombination interval between the centromeric DPB1 locus and the other class II loci will, in the absence of other forces such as selection, reduce disequilibrium across this region. However, nearly all common alleles were found to be part of DR-DP haplotypes in strong disequilibrium, consistent with the recent action of selection acting on these haplotypes in the Cayapa. 50 refs., 3 figs., 3 tabs.

  13. Using the variability of linkage disequilibrium between subpopulations to infer sweeps and epistatic selection in a diverse panel of chickens.

    PubMed

    Beissinger, T M; Gholami, M; Erbe, M; Weigend, S; Weigend, A; de Leon, N; Gianola, D; Simianer, H

    2016-02-01

    A whole-genome scan for identifying selection acting on pairs of linked loci is proposed and implemented. The scan is based on , one of Ohta's 1982 measures of between-population linkage disequilibrium (LD). An approximate empirical null distribution for the statistic is suggested. Although the partitioning of LD into between-population components was originally used to investigate epistatic selection, we demonstrate that values of may also be influenced by single-locus selective sweeps with linkage but no epistasis. The proposed scan is implemented in a diverse panel of chickens including 72 distinct breeds genotyped at 538 298 single-nucleotide polymorphisms. In all, 1723 locus pairs are identified as putatively corresponding to a selective sweep or epistatic selection. These pairs of loci generally cluster to form overlapping or neighboring signals of selection. Known variants that were expected to have been under selection in the panel are identified, as well as an assortment of novel regions that have putatively been under selection in chickens. Notably, a promising pair of genes located 8 MB apart on chromosome 9 are identified based on as demonstrating strong evidence of dispersive epistatic selection between populations. PMID:26350629

  14. Evaluation of Linkage Disequilibrium Pattern and Association Study on Seed Oil Content in Brassica napus Using ddRAD Sequencing.

    PubMed

    Wu, Zhikun; Wang, Bo; Chen, Xun; Wu, Jiangsheng; King, Graham J; Xiao, Yingjie; Liu, Kede

    2016-01-01

    High-density genetic markers are the prerequisite for understanding linkage disequilibrium (LD) and genome-wide association studies (GWASs) of complex traits in crops. To evaluate the LD pattern in oilseed rape, we sequenced a previous association panel containing 189 B. napus inbred lines using double-digested restriction-site associated DNA (ddRAD) and genotyped 19,327 RAD tags. A total of 15,921 RAD tags were assigned to a published genetic linkage map and the majority (71.1%) of these tags was uniquely mapped to the draft reference genome "Darmor-bzh." The distance of LD decay was 1,214 kb across the genome at the background level (r2 = 0.26), with the distances of LD decay being 405 kb and 2,111 kb in the A and C subgenomes, respectively. A total of 361 haplotype blocks with length > 100 kb were identified in the entire genome. The association panel could be classified into two groups, P1 and P2, which are essentially consistent with the geographical origins of varieties. A large number of group-specific haplotypes were identified, reflecting that varieties in the P1 and P2 groups experienced distinct selection in breeding programs to adapt their different growth habitats. GWAS repeatedly detected two loci significantly associated with oil content of seeds based on the developed SNPs, suggesting that the high-density SNPs were useful for understanding the genetic determinants of complex traits in GWAS. PMID:26730738

  15. Evaluation of Linkage Disequilibrium Pattern and Association Study on Seed Oil Content in Brassica napus Using ddRAD Sequencing

    PubMed Central

    Wu, Zhikun; Wang, Bo; Chen, Xun; Wu, Jiangsheng; King, Graham J.; Xiao, Yingjie; Liu, Kede

    2016-01-01

    High-density genetic markers are the prerequisite for understanding linkage disequilibrium (LD) and genome-wide association studies (GWASs) of complex traits in crops. To evaluate the LD pattern in oilseed rape, we sequenced a previous association panel containing 189 B. napus inbred lines using double-digested restriction-site associated DNA (ddRAD) and genotyped 19,327 RAD tags. A total of 15,921 RAD tags were assigned to a published genetic linkage map and the majority (71.1%) of these tags was uniquely mapped to the draft reference genome “Darmor-bzh.” The distance of LD decay was 1,214 kb across the genome at the background level (r2 = 0.26), with the distances of LD decay being 405 kb and 2,111 kb in the A and C subgenomes, respectively. A total of 361 haplotype blocks with length > 100 kb were identified in the entire genome. The association panel could be classified into two groups, P1 and P2, which are essentially consistent with the geographical origins of varieties. A large number of group-specific haplotypes were identified, reflecting that varieties in the P1 and P2 groups experienced distinct selection in breeding programs to adapt their different growth habitats. GWAS repeatedly detected two loci significantly associated with oil content of seeds based on the developed SNPs, suggesting that the high-density SNPs were useful for understanding the genetic determinants of complex traits in GWAS. PMID:26730738

  16. Identification and Replication of Three Novel Myopia Common Susceptibility Gene Loci on Chromosome 3q26 using Linkage and Linkage Disequilibrium Mapping

    PubMed Central

    Carbonaro, Francis; Liew, S. H. Melissa; Lau, Winston; Spector, Tim D.; Hammond, Christopher J.

    2008-01-01

    Refractive error is a highly heritable quantitative trait responsible for considerable morbidity. Following an initial genome-wide linkage study using microsatellite markers, we confirmed evidence for linkage to chromosome 3q26 and then conducted fine-scale association mapping using high-resolution linkage disequilibrium unit (LDU) maps. We used a preliminary discovery marker set across the 30-Mb region with an average SNP density of 1 SNP/15 kb (Map 1). Map 1 was divided into 51 LDU windows and additional SNPs were genotyped for six regions (Map 2) that showed preliminary evidence of multi-marker association using composite likelihood. A total of 575 cases and controls selected from the tails of the trait distribution were genotyped for the discovery sample. Malecot model estimates indicate three loci with putative common functional variants centred on MFN1 (180,566 kb; 95% confidence interval 180,505–180, 655 kb), approximately 156 kb upstream from alternate-splicing SOX2OT (182,595 kb; 95% CI 182,533–182,688 kb) and PSARL (184,386 kb; 95% CI 184,356–184,411 kb), with the loci showing modest to strong evidence of association for the Map 2 discovery samples (p<10−7, p<10−10, and p = 0.01, respectively). Using an unselected independent sample of 1,430 individuals, results replicated for the MFN1 (p = 0.006), SOX2OT (p = 0.0002), and PSARL (p = 0.0005) gene regions. MFN1 and PSARL both interact with OPA1 to regulate mitochondrial fusion and the inhibition of mitochondrial-led apoptosis, respectively. That two mitochondrial regulatory processes in the retina are implicated in the aetiology of myopia is surprising and is likely to provide novel insight into the molecular genetic basis of common myopia. PMID:18846214

  17. Toward localization of the Werner syndrome gene by linkage disequilibrium and ancestral haplotyping: Lessons learned from analysis of 35 chromosome 8p11.1-21.1 markers

    SciTech Connect

    Goddard, K.A.B.; Wijsman, E.M.; Martin, G.M.

    1996-06-01

    Werner syndrome (WS) is an autosomal recessive disorder characterized by premature onset of a number of age-related diseases. The gene for WS, WRN, has been mapped to the 8p11.1-21.1 region with further localization through linkage disequilibrium mapping. Here we present the results of linkage disequilibrium and ancestral haplotype analyses of 35 markers to further refine the location of WRN. We identified an interval in this region in which 14 of 18 markers tested show significant evidence of linkage disequilibrium in at least one of the two populations tested. Analysis of extended and partial haplotypes covering 21 of the markers studied supports the existence of both obligate and probable ancestral recombinant events which localize WRN almost certainly to the interval between DSS2196 and D8S2186, and most likely to the narrower interval between D8S2168 and D8S2186. These haplotype analyses also suggest that there are multiple WRN mutations in each of the two populations under study. We also present a comparison of approaches to performing disequilibrium tests with multiallelic markers, and show that some commonly used approximations for such tests perform poorly in comparison to exact probability tests. Finally, we discuss some of the difficulties introduced by the high mutation rate at microsatellite markers which influence our ability to use ancestral haplotype analysis to localize disease genes. 51 refs., 6 figs., 7 tabs.

  18. Evidence for linkage disequilibrium in chromosome 13-linked Duchenne-like muscular dystrophy

    SciTech Connect

    Othmane, K.B.; Speer, M.C.; Stauffer, J.

    1995-09-01

    Duchenne-like muscular dystrophy (DLMD) is an autosomal recessive Limb Girdle muscular dystrophy (LGMD2C) characterized by late age of onset, proximal muscle weakness leading to disability, high creatine kinase values, normal intelligence and normal dystrophin in muscle biopsy. We have shown previously that three DLMD families from Tunisia are linked to chromosome 13q12. To further localize the LGMD2C gene, we have investigated seven additional families (119 individuals). Both genotyping and two-point linkage analysis were performed as described elsewhere. 7 refs., 1 fig., 1 tab.

  19. Population genomic structure and linkage disequilibrium analysis of South African goat breeds using genome-wide SNP data.

    PubMed

    Mdladla, K; Dzomba, E F; Huson, H J; Muchadeyi, F C

    2016-08-01

    The sustainability of goat farming in marginal areas of southern Africa depends on local breeds that are adapted to specific agro-ecological conditions. Unimproved non-descript goats are the main genetic resources used for the development of commercial meat-type breeds of South Africa. Little is known about genetic diversity and the genetics of adaptation of these indigenous goat populations. This study investigated the genetic diversity, population structure and breed relations, linkage disequilibrium, effective population size and persistence of gametic phase in goat populations of South Africa. Three locally developed meat-type breeds of the Boer (n = 33), Savanna (n = 31), Kalahari Red (n = 40), a feral breed of Tankwa (n = 25) and unimproved non-descript village ecotypes (n = 110) from four goat-producing provinces of the Eastern Cape, KwaZulu-Natal, Limpopo and North West were assessed using the Illumina Goat 50K SNP Bead Chip assay. The proportion of SNPs with minor allele frequencies >0.05 ranged from 84.22% in the Tankwa to 97.58% in the Xhosa ecotype, with a mean of 0.32 ± 0.13 across populations. Principal components analysis, admixture and pairwise FST identified Tankwa as a genetically distinct population and supported clustering of the populations according to their historical origins. Genome-wide FST identified 101 markers potentially under positive selection in the Tankwa. Average linkage disequilibrium was highest in the Tankwa (r(2)  = 0.25 ± 0.26) and lowest in the village ecotypes (r(2) range = 0.09 ± 0.12 to 0.11 ± 0.14). We observed an effective population size of <150 for all populations 13 generations ago. The estimated correlations for all breed pairs were lower than 0.80 at marker distances >100 kb with the exception of those in Savanna and Tswana populations. This study highlights the high level of genetic diversity in South African indigenous goats as well as the utility of the genome-wide SNP marker panels in

  20. Molecular diversity, population structure, and linkage disequilibrium in a worldwide collection of tobacco (Nicotiana tabacum L.) germplasm

    PubMed Central

    2012-01-01

    Background The goals of our study were to assess the phylogeny and the population structure of tobacco accessions representing a wide range of genetic diversity; identify a subset of accessions as a core collection capturing most of the existing genetic diversity; and estimate, in the tobacco core collection, the extent of linkage disequilibrium (LD) in seven genomic regions using simple sequence repeat (SSR) markers. To this end, a collection of accessions were genotyped with SSR markers. Molecular diversity was evaluated and LD was analyzed across seven regions of the genome. Results A genotyping database for 312 tobacco accessions was profiled with 49 SSR markers. Principal Coordinate Analysis (PCoA) and Bayesian cluster analysis revealed structuring of the tobacco population with regard to commercial classes and six main clades were identified, which correspond to "Oriental", Flue-Cured", "Burley", "Dark", "Primitive", and "Other" classes. Pairwise kinship was calculated between accessions, and an overall low level of co-ancestry was observed. A set of 89 genotypes was identified that captured the whole genetic diversity detected at the 49 loci. LD was evaluated on these genotypes, using 422 SSR markers mapping on seven linkage groups. LD was estimated as squared correlation of allele frequencies (r2). The pattern of intrachromosomal LD revealed that in tobacco LD extended up to distances as great as 75 cM with r2 > 0.05 or up to 1 cM with r2 > 0.2. The pattern of LD was clearly dependent on the population structure. Conclusions A global population of tobacco is highly structured. Clustering highlights the accessions with the same market class. LD in tobacco extends up to 75 cM and is strongly dependent on the population structure. PMID:22435796

  1. Linkage disequilibrium, SNP frequency change due to selection, and association mapping in popcorn chromosome regions containing QTLs for quality traits.

    PubMed

    Paes, Geísa Pinheiro; Viana, José Marcelo Soriano; Silva, Fabyano Fonseca E; Mundim, Gabriel Borges

    2016-03-01

    The objectives of this study were to assess linkage disequilibrium (LD) and selection-induced changes in single nucleotide polymorphism (SNP) frequency, and to perform association mapping in popcorn chromosome regions containing quantitative trait loci (QTLs) for quality traits. Seven tropical and two temperate popcorn populations were genotyped for 96 SNPs chosen in chromosome regions containing QTLs for quality traits. The populations were phenotyped for expansion volume, 100-kernel weight, kernel sphericity, and kernel density. The LD statistics were the difference between the observed and expected haplotype frequencies (D), the proportion of D relative to the expected maximum value in the population, and the square of the correlation between the values of alleles at two loci. Association mapping was based on least squares and Bayesian approaches. In the tropical populations, D-values greater than 0.10 were observed for SNPs separated by 100-150 Mb, while most of the D-values in the temperate populations were less than 0.05. Selection for expansion volume indirectly led to increase in LD values, population differentiation, and significant changes in SNP frequency. Some associations were observed for expansion volume and the other quality traits. The candidate genes are involved with starch, storage protein, lipid, and cell wall polysaccharides synthesis. PMID:27007903

  2. The association between type 1 diabetes and the ITPR3 gene polymorphism due to linkage disequilibrium with HLA class II.

    PubMed

    Qu, H-Q; Marchand, L; Szymborski, A; Grabs, R; Polychronakos, C

    2008-04-01

    A fine mapping study of the MHC region in a Swedish case-control population sample reported a novel type 1 diabetes (T1D) association from the inositol 1-, 4-, 5-trisphosphate receptor type 3 gene (ITPR3) in a case-control study, reportedly independent of the HLA class II effect. We attempted to replicate this novel association in a family-based study of 1120 T1D families with at least one affected child, an approach immune to population stratification. We found association of the ITPR3 single nucleotide polymorphisms (SNPs) rs2296336 with T1D but in a direction opposite to that reported. Moreover, rs2296336 was in linkage disequilibrium (LD) with specific alleles of the HLA DQB1 gene. Conditional regression showed that all of the ITPR3 SNP T1D association could be accounted for by the DQB1 effect. Therefore, our findings do not support an obvious role of genetic variation of the ITPR3 gene in T1D risk. PMID:18340361

  3. Combinatorial effects of multiple enhancer variants in linkage disequilibrium dictate levels of gene expression to confer susceptibility to common traits.

    PubMed

    Corradin, Olivia; Saiakhova, Alina; Akhtar-Zaidi, Batool; Myeroff, Lois; Willis, Joseph; Cowper-Sal lari, Richard; Lupien, Mathieu; Markowitz, Sanford; Scacheri, Peter C

    2014-01-01

    DNA variants (SNPs) that predispose to common traits often localize within noncoding regulatory elements such as enhancers. Moreover, loci identified by genome-wide association studies (GWAS) often contain multiple SNPs in linkage disequilibrium (LD), any of which may be causal. Thus, determining the effect of these multiple variant SNPs on target transcript levels has been a major challenge. Here, we provide evidence that for six common autoimmune disorders (rheumatoid arthritis, Crohn's disease, celiac disease, multiple sclerosis, lupus, and ulcerative colitis), the GWAS association arises from multiple polymorphisms in LD that map to clusters of enhancer elements active in the same cell type. This finding suggests a "multiple enhancer variant" hypothesis for common traits, where several variants in LD impact multiple enhancers and cooperatively affect gene expression. Using a novel method to delineate enhancer-gene interactions, we show that multiple enhancer variants within a given locus typically target the same gene. Using available data from HapMap and B lymphoblasts as a model system, we provide evidence at numerous loci that multiple enhancer variants cooperatively contribute to altered expression of their gene targets. The effects on target transcript levels tend to be modest and can be either gain- or loss-of-function. Additionally, the genes associated with multiple enhancer variants encode proteins that are often functionally related and enriched in common pathways. Overall, the multiple enhancer variant hypothesis offers a new paradigm by which noncoding variants can confer susceptibility to common traits. PMID:24196873

  4. Linkage disequilibrium analysis in young populations: pseudo-vitamin D-deficiency rickets and the founder effect in French Canadians.

    PubMed

    Labuda, M; Labuda, D; Korab-Laskowska, M; Cole, D E; Zietkiewicz, E; Weissenbach, J; Popowska, E; Pronicka, E; Root, A W; Glorieux, F H

    1996-09-01

    Pseudo-vitamin D-deficiency rickets (PDDR) was mapped close to D12S90 and between proximal D12S312 and distal (D12S305, D12S104) microsatellites that were subsequently found on a single YAC clone. Analysis of a complex haplotype in linkage disequilibrium (LD) with the disease discriminated among distinct founder effects in French Canadian populations in Acadia and in Charlevoix-Saguenay-Lac-Saint-Jean (Ch-SLSJ), as well as an earlier one in precolonial Europe. A simple demographic model suggested the historical age of the founder effect in Ch-SLSJ to be approximately 12 generations. The corresponding LD data are consistent with this figure when they are analyzed within the framework of Luria-Delbrück model, which takes into account the population growth. Population sampling due to a limited number of first settlers and the rapid demographic expansion appear to have played a major role in the founding of PDDR in Ch-SLSJ and, presumably, other genetic disorders endemic to French Canada. Similarly, the founder effect in Ashkenazim, coinciding with their early settlement in medieval Poland and subsequent expansion eastward, could explain the origin of frequent genetic diseases in this population. PMID:8751865

  5. Comparative population genetics of the panicoid grasses: sequence polymorphism, linkage disequilibrium and selection in a diverse sample of sorghum bicolor.

    PubMed Central

    Hamblin, Martha T; Mitchell, Sharon E; White, Gemma M; Gallego, Javier; Kukatla, Rakesh; Wing, Rod A; Paterson, Andrew H; Kresovich, Stephen

    2004-01-01

    Levels of genetic variation and linkage disequilibrium (LD) are critical factors in association mapping methods as well as in identification of loci that have been targets of selection. Maize, an outcrosser, has a high level of sequence variation and a limited extent of LD. Sorghum, a closely related but largely self-pollinating panicoid grass, is expected to have higher levels of LD. As a first step in estimation of population genetic parameters in sorghum, we surveyed 27 diverse S. bicolor accessions for sequence variation at a total of 29,186 bp in 95 short regions derived from genetically mapped RFLPs located throughout the genome. Consistent with its higher level of inbreeding, the extent of LD is at least severalfold greater in sorghum than in maize. Total sequence variation in sorghum is about fourfold lower than that in maize, while synonymous variation is fivefold lower, suggesting a smaller effective population size in sorghum. Because we surveyed a species-wide sample, the mating system, which primarily affects population-level diversity, may not be primarily responsible for this difference. Comparisons of polymorphism and divergence suggest that both directional and diversifying selection have played important roles in shaping variation in the sorghum genome. PMID:15166170

  6. Linkage disequilibrium analysis of polymorphisms in the gene for myelin oligodendrocyte glycoprotein in Tourette's syndrome patients from a Chinese sample.

    PubMed

    Huang, Yi; Li, Tao; Wang, Yun; Ansar, Jawaid; Lanting, Guo; Liu, Xiehe; Zhao, Jing Hua; Hu, Xun; Sham, Pak C; Collier, David

    2004-01-01

    Gilles de la Tourette syndrome (GTS) is a neuropsychiatric disorder characterised by multiple motor and phonic tics, which wax and wane. Recently, evidence has accumulated supporting the role of autoimmune mechanisms in the aetiology of GTS, suggesting that it is within the paediatric autoimmune neuropsychiatric disorders associated with streptococcal infection (PANDAS) spectrum of childhood neurobehavioural disorders. An immunopathogenic role of antibodies against myelin oligodendrocyte glycoprotein (MOG) has been suggested in this syndrome. In this study, we investigate the association of three microsatellite polymorphisms (MOGa, MOGb, MOGc) in the gene for MOG with GTS in 197 family trios collected from southwest China. Linkage disequilibrium between these three markers was observed with the strongest between MOGa and MOGc (D' = 0.541, P = 0.000). We did not find overall significant evidence for distorted transmission of any of these three markers of MOG gene in GTS, although we observed a weak preferential transmission of the 148 bp allele of MOGc (chi(2) = 4.000, P = 0.046) which did not survive correction for multiple testing. Our results suggest that there is no association between the MOG gene polymorphisms we tested and GTS. PMID:14681920

  7. Linkage disequilibrium, SNP frequency change due to selection, and association mapping in popcorn chromosome regions containing QTLs for quality traits

    PubMed Central

    Paes, Geísa Pinheiro; Viana, José Marcelo Soriano; Silva, Fabyano Fonseca e; Mundim, Gabriel Borges

    2016-01-01

    Abstract The objectives of this study were to assess linkage disequilibrium (LD) and selection-induced changes in single nucleotide polymorphism (SNP) frequency, and to perform association mapping in popcorn chromosome regions containing quantitative trait loci (QTLs) for quality traits. Seven tropical and two temperate popcorn populations were genotyped for 96 SNPs chosen in chromosome regions containing QTLs for quality traits. The populations were phenotyped for expansion volume, 100-kernel weight, kernel sphericity, and kernel density. The LD statistics were the difference between the observed and expected haplotype frequencies (D), the proportion of D relative to the expected maximum value in the population, and the square of the correlation between the values of alleles at two loci. Association mapping was based on least squares and Bayesian approaches. In the tropical populations, D-values greater than 0.10 were observed for SNPs separated by 100-150 Mb, while most of the D-values in the temperate populations were less than 0.05. Selection for expansion volume indirectly led to increase in LD values, population differentiation, and significant changes in SNP frequency. Some associations were observed for expansion volume and the other quality traits. The candidate genes are involved with starch, storage protein, lipid, and cell wall polysaccharides synthesis. PMID:27007903

  8. Global patterns of variation in allele and haplotype frequencies and linkage disequilibrium across the CYP2E1 gene

    PubMed Central

    Lee, Mi-Young; Mukherjee, Namita; Pakstis, Andrew J.; Khaliq, Shagufta; Mohyuddin, Aisha; Mehdi, S. Qasim; Speed, William C.; Kidd, Judith R.; Kidd, Kenneth K.

    2009-01-01

    Cytochrome P450 2E1, gene symbol CYP2E1, is one of a family of enzymes with a central role in activating and detoxifying xenobiotics and endogenous compounds. Genetic variation at this gene has been reported in different human populations, and some association studies have reported increased risk for cancers and other diseases. To the best of our knowledge, multi-SNP haplotypes and linkage disequilibrium (LD) have not been systematically studied for CYP2E1 in multiple populations. Haplotypes can greatly increase the power both to identify patterns of genetic variation relevant for gene expression as well as to detect disease-related susceptibility mutations. We present frequency and LD data and analyses for 11 polymorphisms and their haplotypes that we have studied on over 2,600 individuals from 50 human population samples representing the major geographical regions of the world. The diverse patterns of haplotype variation found in the different populations we have studied show that ethnicity may be an important variable helping to explain inconsistencies that have been reported by association studies. More studies clearly are needed of the variants we have studied, especially those in the 5′ region, such as the VNTR, as well as studies of additional polymorphisms known for this gene to establish evidence relating any systematic differences in gene expression that exist to the haplotypes at this gene. PMID:18663376

  9. Refined mapping of a gene responsible for Fukuyama-type congenital muscular dystrophy: Evidence for strong linkage disequilibrium

    SciTech Connect

    Toda, Tatsushi; Ikegawa, Shiro; Okui, Keiko; Nakamura, Yusuke; Kanazawa, Ichiro; Kondo, Eri; Saito, Kayoko; Fukuyama, Yukio; Yoshioka, Mieko; Kumagai, Toshiyuki

    1994-11-01

    Fukuyama-type congenital muscular dystrophy (FCMD), the second most common form of childhood muscular dystrophy in Japan, is an autosomal recessive severe muscular dystrophy associated with an anomaly of the brain. After our initial mapping of the FCMD locus to chromosome 9q31-33, we further defined the locus within a region of {approximately}5 cM between loci D9S127 and CA246, by homozygosity mapping in patients born to consanguineous marriages and by recombination analyses in other families. We also found evidence for strong linkage disequilibrium between FCMD and a polymorphic microsatellite marker, mfd220, which showed no recombination and a lod score of (Z) 17.49. A {open_quotes}111-bp{close_quotes} allele for the mfd220 was observed in 22 (34%) of 64 FCMD chromosomes, but it was present in only 1 of 120 normal chromosomes. This allelic association with FCMD was highly significant ({chi}{sup 2} = 50.7; P < .0001). Hence, we suspect that the FCMD gene could lie within a few hundred kilobases of the mfd220 locus. 32 refs., 2 figs., 2 tabs.

  10. Effects of Introgression and Recombination on Haplotype Structure and Linkage Disequilibrium Surrounding a Locus Encoding Bymovirus Resistance in Barley

    PubMed Central

    Stracke, Silke; Presterl, Thomas; Stein, Nils; Perovic, Dragan; Ordon, Frank; Graner, Andreas

    2007-01-01

    We present a detailed analysis of linkage disequilibrium (LD) in the physical and genetic context of the barley gene Hv-eIF4E, which confers resistance to the barley yellow mosaic virus (BYMV) complex. Eighty-three SNPs distributed over 132 kb of Hv-eIF4E and six additional fragments genetically mapped to its flanking region were used to derive haplotypes from 131 accessions. Three haplogroups were recognized, discriminating between the alleles rym4 and rym5, which each encode for a spectrum of resistance to BYMV. With increasing map distance, haplotypes of susceptible genotypes displayed diverse patterns driven mainly by recombination, whereas haplotype diversity within the subgroups of resistant genotypes was limited. We conclude that the breakdown of LD within 1 cM of the resistance gene was generated mainly by susceptible genotypes. Despite the LD decay, a significant association between haplotype and resistance to BYMV was detected up to a distance of 5.5 cM from the resistance gene. The LD pattern and the haplotype structure of the target chromosomal region are the result of interplay between low recombination and recent breeding history. PMID:17151251

  11. Linkage disequilibrium in the insulin gene region: Size variation at the 5{prime} flanking polymorphism and bimodality among {open_quotes}Class I{close_quotes} alleles

    SciTech Connect

    McGinnis, R.E.; Spielman, R.S.

    1994-09-01

    The 5{prime} flanking polymorphism (5{prime}FP), a hypervariable region at the 5{prime} end of the insulin gene, has {open_quotes}class 1{close_quotes} alleles (650-900 bp long) that are in positive linkage disequilibrium with insulin-dependent diabetes mellitus (IDDM). The authors report that precise sizing of the 5{prime}FP yields a bimodal frequency distribution of class 1 allele lengths. Class 1 alleles belonging to the lower component (650-750 bp) of the bimodal distribution were somewhat more highly associated with IDDM than were alleles from the upper component (760-900 bp), but the difference was not statistically significant. They also examined 5{prime}FP length variation in relation to allelic variation at nearby polymorphisms. At biallelic RFLPs on both sides of the 5{prime}FP, they found that one allele exhibits near-total association with the upper component of the 5FP class 1 distribution. Such associations represent a little-known but potentially wide-spread form of linkage disequilibrium. In this type of disequilibrium, a flanking allele has near-complete association with a single mode of VNTR alleles whose lengths represent consecutive numbers of tandem repeats (CNTR). Such extreme disequilibrium between a CNTR mode and flanking alleles may originate and persist because length mutations at some VNTR loci usually add or delete only one or two repeat units. 22 refs., 5 figs., 6 tabs.

  12. Using Sequence Variants in Linkage Disequilibrium with Causative Mutations to Improve Across-Breed Prediction in Dairy Cattle: A Simulation Study.

    PubMed

    van den Berg, Irene; Boichard, Didier; Guldbrandtsen, Bernt; Lund, Mogens S

    2016-01-01

    Sequence data are expected to increase the reliability of genomic prediction by containing causative mutations directly, especially in cases where low linkage disequilibrium between markers and causative mutations limits prediction reliability, such as across-breed prediction in dairy cattle. In practice, the causative mutations are unknown, and prediction with only variants in perfect linkage disequilibrium with the causative mutations is not realistic, leading to a reduced reliability compared to knowing the causative variants. Our objective was to use sequence data to investigate the potential benefits of sequence data for the prediction of genomic relationships, and consequently reliability of genomic breeding values. We used sequence data from five dairy cattle breeds, and a larger number of imputed sequences for two of the five breeds. We focused on the influence of linkage disequilibrium between markers and causative mutations, and assumed that a fraction of the causative mutations was shared across breeds and had the same effect across breeds. By comparing the loss in reliability of different scenarios, varying the distance between markers and causative mutations, using either all genome wide markers from commercial SNP chips, or only the markers closest to the causative mutations, we demonstrate the importance of using only variants very close to the causative mutations, especially for across-breed prediction. Rare variants improved prediction only if they were very close to rare causative mutations, and all causative mutations were rare. Our results show that sequence data can potentially improve genomic prediction, but careful selection of markers is essential. PMID:27317779

  13. Using Sequence Variants in Linkage Disequilibrium with Causative Mutations to Improve Across-Breed Prediction in Dairy Cattle: A Simulation Study

    PubMed Central

    van den Berg, Irene; Boichard, Didier; Guldbrandtsen, Bernt; Lund, Mogens S.

    2016-01-01

    Sequence data are expected to increase the reliability of genomic prediction by containing causative mutations directly, especially in cases where low linkage disequilibrium between markers and causative mutations limits prediction reliability, such as across-breed prediction in dairy cattle. In practice, the causative mutations are unknown, and prediction with only variants in perfect linkage disequilibrium with the causative mutations is not realistic, leading to a reduced reliability compared to knowing the causative variants. Our objective was to use sequence data to investigate the potential benefits of sequence data for the prediction of genomic relationships, and consequently reliability of genomic breeding values. We used sequence data from five dairy cattle breeds, and a larger number of imputed sequences for two of the five breeds. We focused on the influence of linkage disequilibrium between markers and causative mutations, and assumed that a fraction of the causative mutations was shared across breeds and had the same effect across breeds. By comparing the loss in reliability of different scenarios, varying the distance between markers and causative mutations, using either all genome wide markers from commercial SNP chips, or only the markers closest to the causative mutations, we demonstrate the importance of using only variants very close to the causative mutations, especially for across-breed prediction. Rare variants improved prediction only if they were very close to rare causative mutations, and all causative mutations were rare. Our results show that sequence data can potentially improve genomic prediction, but careful selection of markers is essential. PMID:27317779

  14. Linkage disequilibrium estimates of contemporary N e using highly variable genetic markers: a largely untapped resource for applied conservation and evolution.

    PubMed

    Waples, Robin S; Do, Chi

    2010-05-01

    Genetic methods are routinely used to estimate contemporary effective population size (N e) in natural populations, but the vast majority of applications have used only the temporal (two-sample) method. We use simulated data to evaluate how highly polymorphic molecular markers affect precision and bias in the single-sample method based on linkage disequilibrium (LD). Results of this study are as follows: (1) Low-frequency alleles upwardly bias [Formula: see text], but a simple rule can reduce bias to information about N e in nature by wider use of single-sample estimators and by combining estimates from different methods. PMID:25567922

  15. Genetic Characterization and Linkage Disequilibrium Estimation of a Global Maize Collection Using SNP Markers

    Technology Transfer Automated Retrieval System (TEKTRAN)

    A newly developed maize Illumina GoldenGate Assay with 1536 SNPs from 582 candidate genes was used to genotype a highly diverse global maize collection of 632 inbred lines from temperate, tropical, and subtropical public breeding programs. A total of 1229 informative SNPs and 1785 haplotypes were ...

  16. A Consensus Genetic Map for Pinus taeda and Pinus elliottii and Extent of Linkage Disequilibrium in Two Genotype-Phenotype Discovery Populations of Pinus taeda.

    PubMed

    Westbrook, Jared W; Chhatre, Vikram E; Wu, Le-Shin; Chamala, Srikar; Neves, Leandro Gomide; Muñoz, Patricio; Martínez-García, Pedro J; Neale, David B; Kirst, Matias; Mockaitis, Keithanne; Nelson, C Dana; Peter, Gary F; Davis, John M; Echt, Craig S

    2015-08-01

    A consensus genetic map for Pinus taeda (loblolly pine) and Pinus elliottii (slash pine) was constructed by merging three previously published P. taeda maps with a map from a pseudo-backcross between P. elliottii and P. taeda. The consensus map positioned 3856 markers via genotyping of 1251 individuals from four pedigrees. It is the densest linkage map for a conifer to date. Average marker spacing was 0.6 cM and total map length was 2305 cM. Functional predictions of mapped genes were improved by aligning expressed sequence tags used for marker discovery to full-length P. taeda transcripts. Alignments to the P. taeda genome mapped 3305 scaffold sequences onto 12 linkage groups. The consensus genetic map was used to compare the genome-wide linkage disequilibrium in a population of distantly related P. taeda individuals (ADEPT2) used for association genetic studies and a multiple-family pedigree used for genomic selection (CCLONES). The prevalence and extent of LD was greater in CCLONES as compared to ADEPT2; however, extended LD with LGs or between LGs was rare in both populations. The average squared correlations, r(2), between SNP alleles less than 1 cM apart were less than 0.05 in both populations and r(2) did not decay substantially with genetic distance. The consensus map and analysis of linkage disequilibrium establish a foundation for comparative association mapping and genomic selection in P. taeda and P. elliottii. PMID:26068575

  17. A Consensus Genetic Map for Pinus taeda and Pinus elliottii and Extent of Linkage Disequilibrium in Two Genotype-Phenotype Discovery Populations of Pinus taeda

    PubMed Central

    Westbrook, Jared W.; Chhatre, Vikram E.; Wu, Le-Shin; Chamala, Srikar; Neves, Leandro Gomide; Muñoz, Patricio; Martínez-García, Pedro J.; Neale, David B.; Kirst, Matias; Mockaitis, Keithanne; Nelson, C. Dana; Peter, Gary F.; Echt, Craig S.

    2015-01-01

    A consensus genetic map for Pinus taeda (loblolly pine) and Pinus elliottii (slash pine) was constructed by merging three previously published P. taeda maps with a map from a pseudo-backcross between P. elliottii and P. taeda. The consensus map positioned 3856 markers via genotyping of 1251 individuals from four pedigrees. It is the densest linkage map for a conifer to date. Average marker spacing was 0.6 cM and total map length was 2305 cM. Functional predictions of mapped genes were improved by aligning expressed sequence tags used for marker discovery to full-length P. taeda transcripts. Alignments to the P. taeda genome mapped 3305 scaffold sequences onto 12 linkage groups. The consensus genetic map was used to compare the genome-wide linkage disequilibrium in a population of distantly related P. taeda individuals (ADEPT2) used for association genetic studies and a multiple-family pedigree used for genomic selection (CCLONES). The prevalence and extent of LD was greater in CCLONES as compared to ADEPT2; however, extended LD with LGs or between LGs was rare in both populations. The average squared correlations, r2, between SNP alleles less than 1 cM apart were less than 0.05 in both populations and r2 did not decay substantially with genetic distance. The consensus map and analysis of linkage disequilibrium establish a foundation for comparative association mapping and genomic selection in P. taeda and P. elliottii. PMID:26068575

  18. Disequilibrium mapping: Composite likelihood for pairwise disequilibrium

    SciTech Connect

    Devlin, B.; Roeder, K.; Risch, N.

    1996-08-15

    The pattern of linkage disequilibrium between a disease locus and a set of marker loci has been shown to be a useful tool for geneticists searching for disease genes. Several methods have been advanced to utilize the pairwise disequilibrium between the disease locus and each of a set of marker loci. However, none of the methods take into account the information from all pairs simultaneously while also modeling the variability in the disequilibrium values due to the evolutionary dynamics of the population. We propose a Composite Likelihood CL model that has these features when the physical distances between the marker loci are known or can be approximated. In this instance, and assuming that there is a single disease mutation, the CL model depends on only three parameters, the recombination fraction between the disease locus and an arbitrary marker locus, {theta}, the age of the mutation, and a variance parameter. When the CL is maximized over a grid of {theta}, it provides a graph that can direct the search for the disease locus. We also show how the CL model can be generalized to account for multiple disease mutations. Evolutionary simulations demonstrate the power of the analyses, as well as their potential weaknesses. Finally, we analyze the data from two mapped diseases, cystic fibrosis and diastrophic dysplasia, finding that the CL method performs well in both cases. 28 refs., 6 figs., 4 tabs.

  19. Evidence, from family studies, for linkage disequilibrium between TGFA and a gene for nonsyndromic cleft lip with or without cleft palate

    SciTech Connect

    Feng, Hongshu; Lee, A.; Gasser, D.L.; Sassani, R.; Bartlett, S.P.; Buetow, K.H.; Hecht, J.T.; Malcolm, S.; Winter, R.M.; Vintiner, G.M.

    1994-11-01

    The inheritance of alleles of the transforming growth factor alpha (TGFA) locus has been studied in families affected with cleft lip with or without cleft palate (CL/P), by using the transmission/disequilibrium test described by Spielman and colleagues. Only heterozygous parents with an affected child can be included in this test, but within such families a significantly greater frequency of C2 alleles were transmitted to affected children than would be expected by chance. There was no evidence that the total number of C2 alleles transmitted to affected and unaffected children differed significantly from random segregation. These data provide evidence from within families that a gene for susceptibility to CL/P is in significant linkage disequilibrium with the C2 allele of the TGFA locus. 30 refs., 1 fig., 2 tabs.

  20. MHC microsatellite diversity and linkage disequilibrium among common HLA-A, HLA-B, DRB1 haplotypes: implications for unrelated donor hematopoietic transplantation and disease association studies.

    PubMed

    Malkki, M; Single, R; Carrington, M; Thomson, G; Petersdorf, E

    2005-08-01

    Twenty-two human major histocompatibility complex (MHC) region microsatellite (Msat) markers were studied for diversity and linkage disequilibrium (LD) with HLA loci in hematopoietic cell transplant recipients and their HLA-A, HLA-B, HLA-C, HLA-DRB1, and HLA-DQB1 allele-matched unrelated donors. These Msats showed highly significant LD over much of the MHC region. The Msat diversity of five common Caucasian haplotypes (HLA-A1-B8-DR3, A3-B7-DR15, A2-B44-DR4, A29-B44-DR7, and A2-B7-DR15) was examined using a new measure called 'haplotype specific heterozygosity' (HSH). Each of the five haplotypes had at least one Msat marker with an HSH value of zero indicating that only one Msat allele was observed for the particular HLA haplotype. In addition, the ability of Msats to predict HLA-A-B-DRB1 haplotypes was studied. Over 90% prediction probability of two common haplotypes (HLA-A1-B8-DR3 and HLA-A3-B7-DR15) was achieved with information from three Msats (D6S265/D6S2787/D6S2894 and D6S510/D6S2810/D6S2876, respectively). We demonstrate how the HSH index can be used in the selection of informative Msats for transplantation and disease association studies. Markers with low HSH values can be used to predict specific HLA haplotypes or multilocus genotypes to supplement the screening of HLA-matched donors for transplantation. Markers with high HSH values will be most informative in studies investigating MHC region disease-susceptibility genes where HLA haplotypic effects are known to exist. PMID:16029431

  1. FastTagger: an efficient algorithm for genome-wide tag SNP selection using multi-marker linkage disequilibrium

    PubMed Central

    2010-01-01

    Background Human genome contains millions of common single nucleotide polymorphisms (SNPs) and these SNPs play an important role in understanding the association between genetic variations and human diseases. Many SNPs show correlated genotypes, or linkage disequilibrium (LD), thus it is not necessary to genotype all SNPs for association study. Many algorithms have been developed to find a small subset of SNPs called tag SNPs that are sufficient to infer all the other SNPs. Algorithms based on the r2 LD statistic have gained popularity because r2 is directly related to statistical power to detect disease associations. Most of existing r2 based algorithms use pairwise LD. Recent studies show that multi-marker LD can help further reduce the number of tag SNPs. However, existing tag SNP selection algorithms based on multi-marker LD are both time-consuming and memory-consuming. They cannot work on chromosomes containing more than 100 k SNPs using length-3 tagging rules. Results We propose an efficient algorithm called FastTagger to calculate multi-marker tagging rules and select tag SNPs based on multi-marker LD. FastTagger uses several techniques to reduce running time and memory consumption. Our experiment results show that FastTagger is several times faster than existing multi-marker based tag SNP selection algorithms, and it consumes much less memory at the same time. As a result, FastTagger can work on chromosomes containing more than 100 k SNPs using length-3 tagging rules. FastTagger also produces smaller sets of tag SNPs than existing multi-marker based algorithms, and the reduction ratio ranges from 3%-9% when length-3 tagging rules are used. The generated tagging rules can also be used for genotype imputation. We studied the prediction accuracy of individual rules, and the average accuracy is above 96% when r2 ≥ 0.9. Conclusions Generating multi-marker tagging rules is a computation intensive task, and it is the bottleneck of existing multi-marker based tag

  2. Linkage Disequilibrium for Two X-Linked Genes in Sardinia and Its Bearing on the Statistical Mapping of the Human X Chromosome

    PubMed Central

    Filippi, G.; Rinaldi, A.; Palmarino, R.; Seravalli, E.; Siniscalco, M.

    1977-01-01

    The distribution of four X-linked mutants (G6PD, Deutan, Protan and Xg) among lowland and once highly malarial populations of Sardinia discloses a clear-cut example of linkage disequilibrium between two of them (G6PD and Protan). In the same populations the distribution of G6PD-deficiency versus colorblindness of the Deutan type and the Xg blood-group is not significantly different from that expected at equilibrium. These data suggest indirectly that the loci for G6PD and Protan may be nearer to one another than those for G6PD and Deutan. PMID:301840

  3. Refined positioning of a quantitative trait locus affecting somatic cell score on chromosome 18 in the German Holstein using linkage disequilibrium.

    PubMed

    Baes, C; Brand, B; Mayer, M; Kühn, C; Liu, Z; Reinhardt, F; Reinsch, N

    2009-08-01

    Combined linkage and linkage disequilibrium analysis (LALD) was conducted to more accurately map a previously reported quantitative trait locus (QTL) affecting somatic cell score on bovine chromosome 18. A grand-daughter design consisting of 6 German Holstein grandsire families with 1,054 progeny-tested genotyped sons was used in this study. Twenty microsatellite markers, 5 single nucleotide polymorphisms, and an erythrocyte antigen marker with an average marker spacing of 1.95 cM were analyzed along a chromosomal segment of 50.80 cM. Variance components were estimated and restricted maximum likelihood test statistics were calculated at the midpoint of each marker interval. The test statistics calculated in single-QTL linkage analysis exceeded the genome-wide significance threshold at several putative QTL positions. Using LALD, we were successful in assigning a genome-wide significant QTL to a confidence interval of 10.8 cM between the markers ILSTS002 and BMS833. The QTL in this marker interval was estimated to be responsible for between 5.89 and 13.86% of the genetic variation in somatic cell score. In contrast to the single-QTL linkage analysis model, LALD analyses with a 2-QTL model confirmed the position of one QTL, but gave no conclusive evidence for the existence or position of a second QTL. Ultimately, the QTL position was narrowed down considerably compared with previous results with a refined confidence interval of less than 11 cM. PMID:19620688

  4. MIDAS: software for analysis and visualisation of interallelic disequilibrium between multiallelic markers

    PubMed Central

    Gaunt, Tom R; Rodriguez, Santiago; Zapata, Carlos; Day, Ian NM

    2006-01-01

    Background Various software tools are available for the display of pairwise linkage disequilibrium across multiple single nucleotide polymorphisms. The HapMap project also presents these graphics within their website. However, these approaches are limited in their use of data from multiallelic markers and provide limited information in a graphical form. Results We have developed a software package (MIDAS – Multiallelic Interallelic Disequilibrium Analysis Software) for the estimation and graphical display of interallelic linkage disequilibrium. Linkage disequilibrium is analysed for each allelic combination (of one allele from each of two loci), between all pairwise combinations of any type of multiallelic loci in a contig (or any set) of many loci (including single nucleotide polymorphisms, microsatellites, minisatellites and haplotypes). Data are presented graphically in a novel and informative way, and can also be exported in tabular form for other analyses. This approach facilitates visualisation of patterns of linkage disequilibrium across genomic regions, analysis of the relationships between different alleles of multiallelic markers and inferences about patterns of evolution and selection. Conclusion MIDAS is a linkage disequilibrium analysis program with a comprehensive graphical user interface providing novel views of patterns of linkage disequilibrium between all types of multiallelic and biallelic markers. Availability Available from and PMID:16643648

  5. HLA-A-B-C-DRB1-DQB1 phased haplotypes in 124 Nigerian families indicate extreme HLA diversity and low linkage disequilibrium in Central-West Africa.

    PubMed

    Testi, M; Battarra, M; Lucarelli, G; Isgro, A; Morrone, A; Akinyanju, O; Wakama, T; Nunes, J M; Andreani, M; Sanchez-Mazas, A

    2015-10-01

    The simultaneous typing of five-HLA loci at high resolution and the availability of pedigree data allowed us to characterize extended five-locus phased haplotypes in 124 Nigerian families and to compare the observed frequencies with those expected by an expectation-maximization algorithm for unphased data. Despite the occurrence of some frequent alleles at each locus (e.g. B*53:01, which is assumed to protect against Plasmodium falciparum), as many as 82% of the sampled individuals carry two unique five-locus haplotypes and only three extended haplotypes with frequency above 1% exhibit significant linkage disequilibrium. Although preliminary, these results reveal an extreme level of HLA diversity in the Nigerian population, which reflects both its multi-ethnic composition and the very ancient demographic history of African populations. PMID:26300115

  6. Linkage disequilibrium in the insulin gene region is related to the exact number of repeat units present at the 5{prime} flanking polymorphism

    SciTech Connect

    McGinnis, R.E.; Spielman, R.S.

    1994-09-01

    Tandem DNA repeat units (RUs) located 5{prime} to the insulin (INS) gene give rise to a {open_quotes}5{prime} flanking polymorphism{close_quotes} (5{prime}FP) with minisatellite alleles belonging to 3 size classes. The shortest or {open_quotes}class 1{close_quotes} alleles (mean length of {approximately}40 RUs) are associated with insulin-dependent diabetes mellitus (IDDM), and the 5{prime}FP is one of several INS region loci in strong linkage disequilibrium with IDDM. We have amplified class 1 alleles and have determined the exact number of RUs in individual class 1 alleles found in parents of 50 IDDM families. We also obtained INS region haplotypes by typing two loci near tyrosine hydroxylase (TH) and two loci near insulin-like growth factor II (IGF2). We obtained these results: (1) Class 1 alleles (n=101) were found at every integer length from 30 to 44 RUs, the lengths of smallest and largest class 1 alleles observed. The allele frequency distribution was trimodal with peaks at 31, 40 and 42 RUs; 18%, 34% and 48% of the alleles belonged to the three components, respectively. (2) Allelic variation at each flanking locus was highly associated with the exact number of RUs present at the 5{prime}FP. Our results suggest that creation of new 5{prime}FP or other minisatellite haplotypes may be {open_quotes}constrained{close_quotes} in that flanking alleles usually become associated with a new minisatellite length different by only one or two RUs. Furthermore, since many flanking alleles were associated with a single narrow range of class 1 integer lengths, determining exact RU length may aid in visualizing linkage disequilibrium and allelic associations involving other minisatellite loci.

  7. Evidence of linkage disequilibrium between schizophrenia and the SCA1 CAG repeat on chromosome 6p23

    SciTech Connect

    Wang, S.; Sun, Cui-E; Diehl, S.R.

    1996-09-01

    Schizophrenia and the closely related phenotype schizoaffective disorder are severe mental illnesses that affect >1.0% of the population. The major role that genetic factors contribute to disease susceptibility is very well established. Schizophrenia appears to be a highly complex and heterogeneous disorder, however, and gene-mapping efforts also face challenges in assigning diagnoses and in delineating the disease`s phenotypic boundary. Several recently reported studies indicate that a schizophrenia-susceptibility gene may reside on the distal short arm of chromosome 6. Wang et al. reported a strong suggestion of linkage to chromosome 6pter-p22, using a resource based on 186 Irish families that was developed by K. S, Kendler, D. Walsh and colleagues, and one of us (S.R.D.), as described elsewhere. In that study, locus D6S260 gave the highest pairwise LOD score, 3.5, allowing for locus heterogeneity. Analysis with D6S260 and the distal locus F13A1 yielded a multipoint LOD score of 3.9, which maximized by allowing for locus heterogeneity and assuming that 50% of families are linked to this region. Nonparametric affected-pedigree-member analyses also supported this finding. Several other groups have recently reported additional evidence suggesting linkage to this region, both in an expanded collection of Irish families and in families from a variety of other geographic locations. However, none of these studies succeed in narrowing the location of the putative disease gene beyond the {approximately}30-cM region first identified by Wang et al. 44 refs., 1 fig., 1 tab.

  8. A High-Resolution Linkage-Disequilibrium Map of the Human Major Histocompatibility Complex and First Generation of Tag Single-Nucleotide Polymorphisms

    PubMed Central

    Miretti, Marcos M.; Walsh, Emily C.; Ke, Xiayi; Delgado, Marcos; Griffiths, Mark; Hunt, Sarah; Morrison, Jonathan; Whittaker, Pamela; Lander, Eric S.; Cardon, Lon R.; Bentley, David R.; Rioux, John D.; Beck, Stephan; Deloukas, Panos

    2005-01-01

    Autoimmune, inflammatory, and infectious diseases present a major burden to human health and are frequently associated with loci in the human major histocompatibility complex (MHC). Here, we report a high-resolution (1.9 kb) linkage-disequilibrium (LD) map of a 4.46-Mb fragment containing the MHC in U.S. pedigrees with northern and western European ancestry collected by the Centre d'Etude du Polymorphisme Humain (CEPH) and the first generation of haplotype tag single-nucleotide polymorphisms (tagSNPs) that provide up to a fivefold increase in genotyping efficiency for all future MHC-linked disease-association studies. The data confirm previously identified recombination hotspots in the class II region and allow the prediction of numerous novel hotspots in the class I and class III regions. The region of longest LD maps outside the classic MHC to the extended class I region spanning the MHC-linked olfactory-receptor gene cluster. The extended haplotype homozygosity analysis for recent positive selection shows that all 14 outlying haplotype variants map to a single extended haplotype, which most commonly bears HLA-DRB1*1501. The SNP data, haplotype blocks, and tagSNPs analysis reported here have been entered into a multidimensional Web-based database (GLOVAR), where they can be accessed and viewed in the context of relevant genome annotation. This LD map allowed us to give coordinates for the extremely variable LD structure underlying the MHC. PMID:15747258

  9. Linkage Disequilibrium Mapping in Domestic Dog Breeds Narrows the Progressive Rod-Cone Degeneration (prcd) Interval and Identifies Ancestral Disease Transmitting Chromosome

    PubMed Central

    Goldstein, Orly; Zangerl, Barbara; Pearce-Kelling, Sue; Sidjanin, Duska J.; Kijas, James W.; Felix, Jeanette; Acland, Gregory M; Aguirre, Gustavo D.

    2014-01-01

    Canine progressive rod-cone degeneration (prcd) is a retinal disease previously mapped to a broad, gene-rich centromeric region of canine chromosome 9. As allelic disorders are present in multiple breeds, we used linkage disequilibrium (LD) to narrow the ∼6.4 Mb interval candidate region. Multiple dog breeds, each representing genetically isolated populations, were typed for SNPs and other polymorphisms identified from BACs. The candidate region was initially localized to a 1.5 Mb zero recombination interval between growth factor receptor-bound protein 2 (GRB2) and SEC14-like 1 (SEC14L). A fine-scale haplotype of the region was developed which reduced the LD interval to 106 Kb, and identified a conserved haplotype of 98 polymorphisms present in all prcd-affected chromosomes from 14 different dog breeds. The findings strongly suggest that a common ancestor transmitted the prcd disease allele to many of the modern dog breeds, and demonstrate the power of LD approach in the canine model. PMID:16859891

  10. Distinct Linkage Disequilibrium (LD) Runs of Single Nucleotide Polymorphisms and Microsatellite Markers; Implications for Use of Mixed Marker Haplotypes in LD-based Mapping

    PubMed Central

    Lee, Kyung-A; Sohn, Kwang-Min; Cho, Seung-Hee; Hwang, Hyokkee; Kim, Sun Woo; Won, Hong-Hee; Kim, Hee-Jin; Kim, Min Ji; Cho, Sang Sun; Park, Jun Hee

    2007-01-01

    It has been suggested that the haplotypic relationship between microsatellite markers and single nucleotide polymorphisms (SNPs) is of considerable importance, as microsatellite markers can potentially be incorporated into haplotypes containing SNPs to increase marker density across a region of interest. However, SNPs and microsatellite markers have different mutation rates and durations, and it is conceivable that the linkage disequilibrium (LD) patterns between the genetic markers may considerably differ. We assessed the LD patterns using 1,661 SNPs and 65 microsatellite markers along chromosome 22 and investigated whether common patterns of LD between the two genetic markers are deduced from the results. The results demonstrated that the patterns of LD among microsatellite markers varied considerably and the LD runs of SNPs and microsatellite markers showed distinct patterns. Microsatellite markers have a much higher mutation rate and the evolution of microsatellite markers is a more complex process which has distinct mutation properties from those of SNPs. We consider that these might contribute to the different LD patterns between the two genetic markers. Therefore, it would seem inadvisable to make assumptions about persistence of LD across even a relatively small genetic distance among microsatellite markers and to construct mixed marker haplotypes/LD maps employing microsatellite markers. PMID:17596648

  11. Genetic association between intronic variants in AS3MT and arsenic methylation efficiency is focused on a large linkage disequilibrium cluster in chromosome 10

    PubMed Central

    Gomez-Rubio, Paulina; Meza-Montenegro, Maria M.; Cantu-Soto, Ernesto; Klimecki, Walter T.

    2009-01-01

    Differences in arsenic metabolism are known to play a role in individual variability in arsenic-induced disease susceptibility. Genetic variants in genes relevant to arsenic metabolism are considered to be partially responsible for the variation in arsenic metabolism. Specifically, variants in arsenic (3+ oxidation state) methyltransferase (AS3MT), the key gene in the metabolism of arsenic, have been associated with increased arsenic methylation efficiency. Of particular interest is the fact that different studies have reported that several of the AS3MT single nucleotide polymorphisms (SNPs) are in strong linkage-disequilibrium (LD), which also extends to a nearby gene, CYP17A1. In an effort to characterize the extent of the region in LD, we genotyped 46 SNPs in a 347,000 base region of chromosome 10 that included AS3MT in arsenic-exposed subjects from Mexico. Pairwise LD analysis showed strong LD for these polymorphisms, represented by a mean r2 of 0.82, spanning a region that includes 5 genes. Genetic association analysis with arsenic metabolism confirmed the previously observed association between AS3MT variants, including this large cluster of linked polymorphisms, and arsenic methylation efficiency. The existence of a large genomic region sharing strong LD with polymorphisms associated with arsenic metabolism presents a predicament because the observed phenotype cannot be unequivocally assigned to a single SNP or even a single gene. The results reported here should be carefully considered for future genomic association studies involving AS3MT and arsenic metabolism. PMID:20014157

  12. Genome-wide distribution of linkage disequilibrium in the population of Palau and its implications for gene flow in Remote Oceania.

    PubMed

    Devlin, B; Roeder, K; Otto, C; Tiobech, S; Byerley, W

    2001-06-01

    Linkage disequilibrium (LD) between alleles on the same human chromosome results from various evolutionary processes and is thus telling about the history of populations. Recently, LD has garnered substantial interest for its value to map and fine-map disease genes. We examine the distribution of LD between short tandem repeat alleles on autosomes and sex chromosomes in the Remote Oceanic population of Palau to evaluate whether the data are consistent with a recent hypothesis about the origins of genetic variation in Palau, specifically that the population experienced extensive male-biased gene flow following initial settlement. Consistent with evolutionary theory based on effective population size, LD between X-linked alleles is stochastically greater than LD between autosomal alleles, however, small but detectable LD occurs for autosomal markers separated by substantial distances. By contrast, while Y-linked alleles experience only one-third the effective population size of X-linked alleles, their mean value for pairwise LD is only slightly larger than X-linked alleles. For a small population known to experience at least two extreme bottlenecks, 56 six-locus Y haplotypes exhibit remarkable diversity (0.96), comparable to Y diversity of Europeans, however, autosomal and X-linked markers display significantly less diversity, as measured by heterozygosity (4.1% less). Palauan Y haplotypes also fall into distinct clusters, again unlike that of Europe. We argue these data are consistent with waves of male-biased gene flow. PMID:11499679

  13. Estimates of Selection and Gene Flow from Measures of Cline Width and Linkage Disequilibrium in Heliconius Hybrid Zones

    PubMed Central

    Mallet, J.; Barton, N.; Gerardo, L. M.; Jose, S. C.; Manuel, M. M.; Eeley, H.

    1990-01-01

    Hybrid zones can yield estimates of natural selection and gene flow. The width of a cline in gene frequency is approximately proportional to gene flow (σ) divided by the square root of per-locus selection ( &s). Gene flow also causes gametic correlations (linkage disequilibria) between genes that differ across hybrid zones. Correlations are stronger when the hybrid zone is narrow, and rise to a maximum roughly equal to s. Thus cline width and gametic correlations combine to give estimates of gene flow and selection. These indirect measures of σ and s are especially useful because they can be made from collections, and require no field experiments. The method was applied to hybrid zones between color pattern races in a pair of Peruvian Heliconius butterfly species. The species are Mullerian mimics of one another, and both show the same changes in warning color pattern across their respective hybrid zones. The expectations of cline width and gametic correlation were generated using simulations of clines stabilized by strong frequency-dependent selection. In the hybrid zone in Heliconius erato, clines at three major color pattern loci were between 8.5 and 10.2 km wide, and the pairwise gametic correlations peaked at R & 0.35. These measures suggest that s & 0.23 per locus, and that σ & 2.6 km. In erato, the shapes of the clines agreed with that expected on the basis of dominance. Heliconius melpomene has a nearly coincident hybrid zone. In this species, cline widths at four major color pattern loci varied between 11.7 and 13.4 km. Pairwise gametic correlations peaked near R & 1.00 for tightly linked genes, and at R & 0.40 for unlinked genes, giving s & 0.25 per locus and σ & 3.7 km. In melpomene, cline shapes did not perfectly fit theoretical shapes based on dominance; this deviation might be explained by long-distance migration and/or strong epistasis. Compared with erato, sample sizes in melpomene are lower and the genetics of its color patterns are less well

  14. Does a central MHC gene in linkage disequilibrium with HLA-DRB1*0401 affect susceptibility to type 1 diabetes?

    PubMed

    Windsor, L; Puschendorf, M; Allcock, R; Scott, A; Sayer, D; Kucharzak, R; Gut, I; McCann, V; Davis, E; Witt, C; Christiansen, F; Price, P

    2005-06-01

    Subtypes of HLA-DR4 are associated with susceptibility or protection against type 1 diabetes (T1DM). We addressed whether this reflects linkage disequilibrium with the true susceptibility locus by studying broader MHC haplotypes marked by alleles of HLA-B, IKBL (adjacent to TNFA) and complement C4. The study used a largely Caucasian cohort from Western Australia. HLA-DRB1*0401 and HLA-DRB1*0405 marked susceptibility to T1DM. In Caucasians, DRB1*0401 occurs predominantly in the 44.1 ancestral haplotype (AH; HLA-A2,B44, DRB1*0401,DQB1*0301) and the 62.1AH (HLA-A2,B15(62),DRB1*0401,DQB1*0302). HLA-B15 marked susceptibility and HLA-B44 marked with resistance to T1DM in patients and controls preselected for HLA-DRB1*0401. A gene between TNFA and HLA-B on the 8.1AH (HLA-A1,B8,;DR3,DQ2) modifies the effects of the class II alleles. Here, alleles characteristic of the 62.1AH (C4B3, IKBL+446*T and HLA-A2,B15) were screened in donors preselected for HLA-DRB1*0401. C4B3 was associated with diabetes, consistent with a diabetes gene telomeric of MHC class II. However, increases in carriage of IKBL+446*T and HLA-A2,B15 were marginal, as too few control subjects were available with the diabetogenic alleles. However, with these tools, selection of HLA-DRB1*0401, DQB1*0302 donors who are positive and negative for C4B3 will allow bidirectional mapping of diabetes genes in the central MHC. PMID:15858601

  15. Extensive Linkage Disequilibrium, a Common 16.7-Kilobase Deletion, and Evidence of Balancing Selection in the Human Protocadherin α Cluster

    PubMed Central

    Noonan, James P.; Li, Jun; Nguyen, Loan; Caoile, Chenier; Dickson, Mark; Grimwood, Jane; Schmutz, Jeremy; Feldman, Marcus W.; Myers, Richard M.

    2003-01-01

    Regions of extensive linkage disequilibrium (LD) appear to be a common feature of the human genome. However, the mechanisms that maintain these regions are unknown. In an effort to understand whether gene density contributes to LD, we determined the degree of promoter sequence variation in a large tandem-arrayed gene family, the human protocadherin α cluster, on chromosome 5. These genes are expressed at synaptic junctions in the developing brain and the adult brain and may be involved in the determination of synaptic complexity. We sequenced the promoters of all 13 α protocadherin genes in 96 European Americans and identified polymorphisms in the promoters α1, α3, α4, α5, α7, α9, α11, and α13. In these promoters, 11 common SNPs are in extensive LD, forming two 48-kb haplotypes of equal frequency, in this population, that extend from the α1 through α7 genes. We sequenced these promoters in East Asians and African Americans, and we estimated haplotype frequencies and calculated LD statistics for all three populations. Our results indicate that, although extensive LD is an ancient feature of the α cluster, it has eroded over time. SNPs 3′ of α7 are involved in ancestral recombination events in all populations, and overall α-cluster LD is reduced in African Americans. We obtained significant positive values for Tajima's D test for all α promoter SNPs in Europeans (D=3.03) and East Asians (D=2.64), indicating an excess of intermediate-frequency variants, which is a signature of balancing selection. We also discovered a 16.7-kb deletion that truncates the α8 gene and completely removes the α9 and α10 genes. This deletion appears in unaffected individuals from multiple populations, suggesting that a reduction in protocadherin gene number is not obviously deleterious. PMID:12577201

  16. Linkage Disequilibrium between Two High-Frequency Deletion Polymorphisms: Implications for Association Studies Involving the glutathione-S transferase (GST) Genes

    PubMed Central

    Zhao, Yongzhong; Marotta, Michael; Eichler, Evan E.; Eng, Charis; Tanaka, Hisashi

    2009-01-01

    Copy number variations (CNVs) represent a large source of genetic variation in humans and have been increasingly studied for disease association. A deletion polymorphism of the gene encoding the cytosolic detoxification enzyme glutathione S-transferase theta 1 (GSTT1) has been extensively studied for cancer susceptibility (919 studies, from HuGE navigator, http://www.hugenavigator.net/). However, clear conclusions have not been reached. Since the GSTT1 gene is located within a genomic region of segmental duplications (SD), there may be a confounding effect from another, yet-uncharacterized CNV at the same locus. Here we describe a previously uncharacterized 38-kilo-base (kb) long deletion polymorphism of GSTT2B located within a 61-kb DNA inverted repeat. GSTT2B is a duplicated copy of GSTT2, the only paralogue of GSTT1 in humans. A newly developed PCR assay revealed that a microhomology-mediated breakpoint appears to be shared among individuals at high frequency. The GSTT2B deletion polymorphism was in strong linkage disequilibrium (LD) (D′ = 0.841) with the neighboring GSTT1 deletion polymorphism in the Caucasian population. Alleles harboring a single deletion were significantly overrepresented (p = 2.22×10−16), suggesting a selection against alleles with both deletions. The deletion alleles are almost certainly the derived ones, because the GSTT2B-GSTT2-GSTT1 genes were strictly retained in chimpanzees. Extremely low GSTT2 mRNA expression was associated with the GSTT2B deletion, suggesting an influence of the deletion on the flanking region and loss of GSTT2 function. Genome-wide LD analysis between deletion polymorphisms further points to the uniqueness of two deletions, because strong LD between deletion polymorphisms might be very rare in humans. These results show a complex genomic organization and unexpected biological functions of CNVs within segmental duplications and emphasize the importance of detailed structural characterization for disease

  17. Genetic Diversity, Population Structure and Linkage Disequilibrium in U.S. Elite Winter Wheat (Triticum Aestivum L.)

    Technology Transfer Automated Retrieval System (TEKTRAN)

    Information on genetic diversity and population structure of elite wheat breeding lines promotes effective use of genetic resources. We analyzed 205 elite wheat breeding lines from major winter wheat breeding programs in the U.S.A. using 245 markers across the wheat genomes. This collection showed a...

  18. Subtyping of phosphoglucomutase locus 1 (PGM1) polymorphism in some populations of Rwanda: description of variant phenotypes, "haplotype" frequencies, and linkage disequilibrium data.

    PubMed

    Santachiara-Benerecetti, A S; Ranzani, G N; Antonini, G; Beretta, M

    1982-03-01

    Some populations of Rwanda (South Twa Pygmies, Hutu, and Tutsi) have been analyzed by acid starch gel electrophoresis for the subtyping of PGM1 polymorphism. The new polymorphic third PGM11 allele, the PGM1(1Twa), which we recently detected in Twa Pygmies from North Rwanda, has not been found in this survey, whereas the rare PGM1(6) allele attains subpolymorphic frequencies in all groups. Comparison between the various populations of Rwanda shows that they differ significantly from each other with the exception of South Twa Pygmies and Tutsi. A relatively low frequency (9.6%) of the PGM1(2S) allele appears to be typical of North Twa Pygmies; a low frequency of PGM1(2F) (1.2%-3.6%) has been found in all these groups but not in the Hutu (6.4%); and a particularly high incidence of the PGM1(1F) allele (the highest so far reported) has been observed in the South Twa Pygmies (20%) and in the Tutsi (18%). The PGM1(1Twa) and PGM1(6) enzymes, which in acid starch gel are not distinguishable, can be clearly differentiated by isoelectric focusing. In addition, the same technique has shown that the rare PGM1(7) allele observed in one Hutu is different from that found at polymorphic frequency in the Japanese and from a rare PGM1(7) allele found in Germany. On the very likely hypothesis that the PGM1(1S), PGM1(1F), PGM1(2S), and PGM1(2F) result from variations at two different polymorphic sites, 1/2 and F/S, within the PGM1 structural gene, all the available population data have been analyzed to investigate whether preferential combinations (haplotypes) were identifiable. Whereas Caucasians show a prevalence of 2F and 1S combination with an 8.02% mean value of linkage disequilibrium expressed as % Dmax, from the very few and scattered African data, it is impossible to draw any inference at present. PMID:6462057

  19. Recombination patterns reveal information about centromere location on linkage maps.

    PubMed

    Limborg, Morten T; McKinney, Garrett J; Seeb, Lisa W; Seeb, James E

    2016-05-01

    Linkage mapping is often used to identify genes associated with phenotypic traits and for aiding genome assemblies. Still, many emerging maps do not locate centromeres - an essential component of the genomic landscape. Here, we demonstrate that for genomes with strong chiasma interference, approximate centromere placement is possible by phasing the same data used to generate linkage maps. Assuming one obligate crossover per chromosome arm, information about centromere location can be revealed by tracking the accumulated recombination frequency along linkage groups, similar to half-tetrad analyses. We validate the method on a linkage map for sockeye salmon (Oncorhynchus nerka) with known centromeric regions. Further tests suggest that the method will work well in other salmonids and other eukaryotes. However, the method performed weakly when applied to a male linkage map (rainbow trout; O. mykiss) characterized by low and unevenly distributed recombination - a general feature of male meiosis in many species. Further, a high frequency of double crossovers along chromosome arms in barley reduced resolution for locating centromeric regions on most linkage groups. Despite these limitations, our method should work well for high-density maps in species with strong recombination interference and will enrich many existing and future mapping resources. PMID:26561199

  20. The phenotypic difference discards sib-pair QTL linkage information

    SciTech Connect

    Wright, F.A. |

    1997-03-01

    Kruglyak and Lander provide an important synthesis of methods for (IBD) sib-pair linkage mapping, with an emphasis on the use of complete multipoint inheritance information for each sib pair. These procedures are implemented in the computer program MAPMAKER/SIBS, which performs interval mapping for dichotomous and quantitative traits. The authors present three methods for mapping quantitative trait loci (QTLs): a variant of the commonly used Haseman-Elston regression approach, a maximum-likelihood procedure involving variance components, and a rank-based nonparametric procedure. These approaches and related work use the magnitude of the difference in the sibling phenotype values for each sib pair as the observation for analysis. Linkage is detected if siblings sharing more alleles IBD have similar phenotypes (i.e., a small difference in the phenotype values), while siblings sharing fewer alleles IBD have less similar phenotypes. Such techniques have been used to detect linkage for a number of quantitative traits. However, the exclusive reliance on the phenotypic differences may be due in large part to historical inertia. A likelihood argument is presented here to show that, under certain classical assumptions, the phenotypic differences do not contain the full likelihood information for QTL mapping. Furthermore, considerable gains in power to detect linkage can be achieved with an expanded likelihood model. The development here is related to previous work, which incorporates the full set of phenotypic data using likelihood and robust quasi-likelihood methods. The purpose of this letter is not to endorse a particular approach but to spur research in alternative and perhaps more powerful linkage tests. 17 refs.

  1. Refined localization of the Batten disease gene (CL3) by haplotype and linkage disequilibrium mapping to D16S288-D16S383 and exclusion from this region of a variant form of Batten disease with granular osmiophilic deposits

    SciTech Connect

    Mitchison, H.M.; O`Rawe, A.M.; Gormally, E.

    1995-06-05

    Haplotype analysis in a collaborative collection of 143 families with juvenile-onset neuronal ceroid lipofuscinosis (JNCL) or Batten (Spielmeyer-Vogt-Sjoegren) disease has permitted refined localization of the disease gene, CLN3, which was assigned to chromosome 16 in 1989. Recombination events in four maternal meioses delimit new flanking genetic markers for CLN3 which localize the gene to the chromosome interval 16p12.1-11.2 between microsatellite markers D16S288 and D16S383. This narrows the position of CLN3 to a region of 2.1 cM, a significant reduction from the previous best interval. Using haplotypes, analysis of the strong linkage disequilibrium that exists between genetic markers within the D16S288-D16S383 interval and CLN3 shows that CLN3 is in closest proximity to loci D16S299 and D16S298. Analysis of markers across the D16S288-D16S383 region in four families with a variant form of JNCL characterized histologically by cytosomal granular osmiophilic deposits (GROD) has excluded linkage of the gene locus to the CLN3 region of chromosome 16, suggesting that JNCL with GROD is not an allelic form of JNCL. 8 refs., 2 figs., 2 tabs.

  2. Homozygosity and linkage-disequilibrium mapping of the syndrome of congenital hypoparathyroidism, growth and mental retardation, and dysmorphism to a 1-cM interval on chromosome 1q42-43.

    PubMed Central

    Parvari, R; Hershkovitz, E; Kanis, A; Gorodischer, R; Shalitin, S; Sheffield, V C; Carmi, R

    1998-01-01

    The syndrome of hypoparathyroidism associated with growth retardation, developmental delay, and dysmorphism (HRD) is a newly described, autosomal recessive, congenital disorder with severe, often fatal consequences. Since the syndrome is very rare, with all parents of affected individuals being consanguineous, it is presumed to be caused by homozygous inheritance of a single recessive mutation from a common ancestor. To localize the HRD gene, we performed a genomewide screen using DNA pooling and homozygosity mapping for apparently unlinked kindreds. Analysis of a panel of 359 highly polymorphic markers revealed linkage to D1S235. The maximum LOD score obtained was 4.11 at a recombination fraction of 0. Analysis of three additional markers-GGAA6F06, D1S2678, and D1S179-in a 2-cM interval around D1S235 resulted in LOD scores >3. Analysis of additional chromosome 1 markers revealed evidence of genetic linkage disequilibrium and place the HRD locus within an approximately 1-cM interval defined by D1S1540 and D1S2678 on chromosome 1q42-43. PMID:9634513

  3. Mapping of the gene for Machado-Joseph disease within a 3.6-cM interval flanked by D14S291/D14S280 and D14S81, on the basis of studies of linkage and linkage disequilibrium in 24 Japanese families

    SciTech Connect

    Sasaki, Hidenao; Ihara, Tatsuo; Wakisaka, Akemi; Takada, Akio; Yoshiki, Takashi; Hamada, Takeshi; Suzuki, Yoshihiro; Iwabuchi, Kiyoshi; Onari, Keiko; Tada, Jyoji

    1995-01-01

    The gene locus of Machado-Joseph disease (MJD) has recently been mapped within a 29-cM subregion of 14q chromosome. We did a linkage study of 24 multigenerational MJD Japanese pedigrees, in an attempt to narrow the candidate region of this gene. Pairwise and multipoint linkage analysis, together with haplotype segregation analysis, led to the conclusion that the MJD gene is located at the 6.8-cM interval between D14S256 and D14S81 (Z{sub max} = 24.78, multipoint linkage analysis). D14S291 and D14S280, located at the center of this interval, showed no obligate recombination with the MJD gene (Z{sub max} = 5.93 for D14S291 and 9.99 for D14S280). A weak, but significant, linkage disequilibrium of MJD gene was noted with D14S81 (P<.05) but not with D14S291 or D14S280. These results suggest that a 3.6-cM interval flanked by D14S291/D14S280 and D14S81 is the most likely location of the MJD gene and that it is closest to D14S81. 33 refs., 4 figs., 6 tabs.

  4. Exploiting semantic linkages among multiple sources for semantic information retrieval

    NASA Astrophysics Data System (ADS)

    Li, JianQiang; Yang, Ji-Jiang; Liu, Chunchen; Zhao, Yu; Liu, Bo; Shi, Yuliang

    2014-07-01

    The vision of the Semantic Web is to build a global Web of machine-readable data to be consumed by intelligent applications. As the first step to make this vision come true, the initiative of linked open data has fostered many novel applications aimed at improving data accessibility in the public Web. Comparably, the enterprise environment is so different from the public Web that most potentially usable business information originates in an unstructured form (typically in free text), which poses a challenge for the adoption of semantic technologies in the enterprise environment. Considering that the business information in a company is highly specific and centred around a set of commonly used concepts, this paper describes a pilot study to migrate the concept of linked data into the development of a domain-specific application, i.e. the vehicle repair support system. The set of commonly used concepts, including the part name of a car and the phenomenon term on the car repairing, are employed to build the linkage between data and documents distributed among different sources, leading to the fusion of documents and data across source boundaries. Then, we describe the approaches of semantic information retrieval to consume these linkages for value creation for companies. The experiments on two real-world data sets show that the proposed approaches outperform the best baseline 6.3-10.8% and 6.4-11.1% in terms of top five and top 10 precisions, respectively. We believe that our pilot study can serve as an important reference for the development of similar semantic applications in an enterprise environment.

  5. Polymorphisms in the cytochrome P450 CYP1A2 gene (CYP1A2) in colorectal cancer patients and controls: allele frequencies, linkage disequilibrium and influence on caffeine metabolism

    PubMed Central

    Sachse, Christoph; Bhambra, Upinder; Smith, Gillian; Lightfoot, Tracy J; Barrett, Jennifer H; Scollay, Jenna; Garner, R Colin; Boobis, Alan R; Wolf, C Roland; Gooderham, Nigel J

    2003-01-01

    Aim Several single nucleotide polymorphisms (SNPs) of the cytochrome P450 enzyme 1A2 gene (CYP1A2) have been reported. Here, frequencies, linkage disequilibrium and phenotypic consequences of six SNPs are described. Methods From genomic DNA, 114 British Caucasians (49 colorectal cancer cases and 65 controls) were genotyped for the CYP1A2 polymorphisms −3858G→A (allele CYP1A2*1C), −2464T→delT (CYP1A2*1D), −740T→G (CYP1A2*1E and *1G), −164A→C (CYP1A2*1F), 63C→G (CYP1A2*2), and 1545T→C (alleles CYP1A2*1B, *1G, *1H and *3), using polymerase chain reaction–restriction fragment length polymorphism assays. All patients and controls were phenotyped for CYP1A2 by h.p.l.c. analysis of urinary caffeine metabolites. Results In 114 samples, the most frequent CYP1A2 SNPs were 1545T→C (38.2% of tested chromosomes), −164A→C (CYP1A2*1F, 33.3%) and −2464T→delT (CYP1A2*1D, 4.82%). The SNPs were in linkage disequilibrium: the most frequent constellations were found to be −3858G/−2464T/−740T/−164A/63C/1545T (61.8%), −3858G/−2464T/−740T/−164C/63C/1545C (33.3%), and −3858G/−2464delT/−740T/−164A/63C/1545C (3.51%), with no significant frequency differences between cases and controls. In the phenotype analysis, lower caffeine metabolic ratios were detected in cases than in controls. This was significant in smokers (n = 14, P = 0.020), and in a subgroup of 15 matched case-control pairs (P = 0.007), but it was not significant in nonsmokers (n = 100, P = 0.39). There was no detectable association between CYP1A2 genotype and caffeine phenotype. Conclusions (i) CYP1A2 polymorphisms are in linkage disequilibrium. Therefore, only −164A→C (CYP1A2*1F) and −2464T→delT (CYP1A2*1D) need to be analysed in the routine assessment of CYP1A2 genotype; (ii) in vivo CYP1A2 activity is lower in colorectal cancer patients than in controls, and (iii) CYP1A2 genotype had no effect on phenotype (based on the caffeine metabolite ratio). However, this

  6. Linkage disequilibrium for two X-linked genes in Sardinia and its bearing on the statistical mapping of the human X chromosome.

    PubMed

    Filippi, G; Rinaldi, A; Palmarino, R; Seravalli, E; Siniscalco, M

    1977-05-01

    The distribution of four X-linked mutants (G6PD, Deutan, Protan and Xg) among lowland and once highly malarial populations of Sardinia discloses a clear-cut example of linkage disequiligrium between two of them (G6PD and Protan). In the same populations the distribution of G6PD-deficiency versus colorblindness of the Deutan type and the Xg blood-group is not significantly different from that expected at equilibrium. These data suggest indirectly that the loci for G6PD and Protan may be nearer to one another than those for G6PD and Deutan. PMID:301840

  7. Discovery and Protection of Sensitive Linkage Information for Online Social Networks Services

    NASA Astrophysics Data System (ADS)

    Zhang, Nan; Song, Min; Fu, Xinwen; Yu, Wei

    This paper investigates the problem of suppressing access to sensitive linkage information over data published by users of an online social network service. We unveil the potential threats by inferring linkage information from the user-published data, and suggest a class of data publishing schemes to enable distributed data publication by individual users but hide the sensitive information. Our hope is that this white paper shed lights on the future investigation of privacy-preserving online social network services.

  8. Helping People Cope with Tragedy and Grief: Information, Resources & Linkages.

    ERIC Educational Resources Information Center

    Walz, Garry R., Ed.; Kirkman, Chris J.

    Following the horrific experiences of September 11th, 2001, efforts were undertaken to gather information to provide counselors with the help they need for counseling those in the face of tragedy. With this publication, information about trauma and grief counseling becomes readily available. Guides for responding to tragedies are included from…

  9. Dinucleotide repeat loci contribute highly informative genetic markers to the human chromosome 2 linkage map

    SciTech Connect

    Todd, S. ); Sherman, S.L. ); Naylor, S.L. )

    1993-06-01

    Microsatellite repeat loci can provide informative markers for genetic linkage. Currently, the human chromosome 2 genetic linkage map has very few highly polymorphic markers. Being such a large chromosome, it will require a large number of informative markers for the dense coverage desired to allow disease genes to be mapped quickly and accurately. Dinucleotide repeat loci from two anonymous chromosome 2 genomic DNA clones were sequenced so that oligonucleotide primers could be designed for amplifying each locus using the polymerase chain reaction (PCR). Five sets of PCR primers were also generated from nucleotide sequences in the GenBank Database of chromosome 2 genes containing dinucleotide repeats. In addition, one PCR primer pair was made that amplifies a restriction fragment length polymorphism on the TNP1 gene. These markers were placed on the CEPH genetic linkage map by screening the CEPH reference DNA panel with each primer set, combining these data with those of other markers previously placed on the map, and analyzing the combined data set using CRI-MAP and LINKAGE. The microsatellite loci are highly informative markers and the TNP1 locus, as expected, is only moderately informative. A map was constructed with 38 ordered loci (odds [ge] 1000:1) spanning 296 cM (male) and 476 cM (female) of chromosome 2 compared with 306 cM (male) and 529 cM (female) for a previous map of 20 markers. 32 refs., 2 figs., 3 tabs.

  10. Genomewide linkage scan of schizophrenia in a large multicenter pedigree sample using single nucleotide polymorphisms

    PubMed Central

    Holmans, PA; Riley, B; Pulver, AE; Owen, MJ; Wildenauer, DB; Gejman, PV; Mowry, BJ; Laurent, C; Kendler, KS; Nestadt, G; Williams, NM; Schwab, SG; Sanders, AR; Nertney, D; Mallet, J; Wormley, B; Lasseter, VK; O’Donovan, MC; Duan, J; Albus, M; Alexander, M; Godard, S; Ribble, R; Liang, KY; Norton, N; Maier, W; Papadimitriou, G; Walsh, D; Jay, M; O’Neill, A; Lerer, FB; Dikeos, D; Crowe, RR; Silverman, JM; Levinson, DF

    2008-01-01

    A genomewide linkage scan was carried out in eight clinical samples of informative schizophrenia families. After all quality control checks, the analysis of 707 European-ancestry families included 1,615 affected and 1,602 unaffected genotyped individuals, and the analysis of all 807 families included 1900 affected and 1839 unaffected individuals. Multipoint linkage analysis with correction for marker-marker linkage disequilibrium was carried out with 5,861 single nucleotide polymorphisms (SNPs; Illumina 4.0 linkage map). Suggestive evidence for linkage (European families) was observed on chromosomes 8p21, 8q24.1, 9q34 and 12q24.1 in non-parametric and/or parametric analyses. In a logistic regression allele-sharing analysis of linkage allowing for intersite heterogeneity, genomewide significant evidence for linkage was observed on chromosome 10p12. Significant heterogeneity was also observed on chromosome 22q11.1. Evidence for linkage across family sets and analyses was most consistent on chromosome 8p21, with a one-lod support interval that does not include the candidate gene NRG1, suggesting that one or more other susceptibility loci might exist in the region. In this era of genomewide association and deep resequencing studies, consensus linkage regions deserve continued attention, given that linkage signals can be produced by many types of genomic variation, including any combination of multiple common or rare SNPs or copy number variants in a region. PMID:19223858

  11. Linkage analysis: Inadequate for detecting susceptibility loci in complex disorders?

    SciTech Connect

    Field, L.L.; Nagatomi, J.

    1994-09-01

    Insulin-dependent diabetes mellitus (IDDM) may provide valuable clues about approaches to detecting susceptibility loci in other oligogenic disorders. Numerous studies have demonstrated significant association between IDDM and a VNTR in the 5{prime} flanking region of the insulin (INS) gene. Paradoxically, all attempts to demonstrate linkage of IDDM to this VNTR have failed. Lack of linkage has been attributed to insufficient marker locus information, genetic heterogeneity, or high frequency of the IDDM-predisposing allele in the general population. Tyrosine hydroxylase (TH) is located 2.7 kb from INS on the 5` side of the VNTR and shows linkage disequilibrium with INS region loci. We typed a highly polymorphic microsatellite within TH in 176 multiplex families, and performed parametric (lod score) linkage analysis using various intermediate reduced penetrance models for IDDM (including rare and common disease allele frequencies), as well as non-parametric (affected sib pair) linkage analysis. The scores significantly reject linkage for recombination values of .05 or less, excluding the entire 19 kb region containing TH, the 5{prime} VNTR, the INS gene, and IGF2 on the 3{prime} side of INS. Non-parametric linkage analysis also provided no significant evidence for linkage (mean TH allele sharing 52.5%, P=.12). These results have important implications for efforts to locate genes predisposing to complex disorders, strongly suggesting that regions which are significantly excluded by linkage methods may nevertheless contain predisposing genes readily detectable by association methods. We advocate that investigators routinely perform association analyses in addition to linkage analyses.

  12. Linear models for joint association and linkage QTL mapping

    PubMed Central

    2009-01-01

    Background Populational linkage disequilibrium and within-family linkage are commonly used for QTL mapping and marker assisted selection. The combination of both results in more robust and accurate locations of the QTL, but models proposed so far have been either single marker, complex in practice or well fit to a particular family structure. Results We herein present linear model theory to come up with additive effects of the QTL alleles in any member of a general pedigree, conditional to observed markers and pedigree, accounting for possible linkage disequilibrium among QTLs and markers. The model is based on association analysis in the founders; further, the additive effect of the QTLs transmitted to the descendants is a weighted (by the probabilities of transmission) average of the substitution effects of founders' haplotypes. The model allows for non-complete linkage disequilibrium QTL-markers in the founders. Two submodels are presented: a simple and easy to implement Haley-Knott type regression for half-sib families, and a general mixed (variance component) model for general pedigrees. The model can use information from all markers. The performance of the regression method is compared by simulation with a more complex IBD method by Meuwissen and Goddard. Numerical examples are provided. Conclusion The linear model theory provides a useful framework for QTL mapping with dense marker maps. Results show similar accuracies but a bias of the IBD method towards the center of the region. Computations for the linear regression model are extremely simple, in contrast with IBD methods. Extensions of the model to genomic selection and multi-QTL mapping are straightforward. PMID:19788745

  13. Backward disequilibrium in elderly subjects

    PubMed Central

    Manckoundia, Patrick; Mourey, France; Pérennou, Dominic; Pfitzenmeyer, Pierre

    2008-01-01

    Backward disequilibrium is observed frequently in daily clinical practice. However, there are no epidemiological data concerning this postural disorder. Defined by a posterior position of the centre of mass with respect to the base of support, backward disequilibrium is abnormal postural behavior, usually characterized by a posterior trunk tilt in standing and sitting positions, which predisposes subjects to backward falls. Many afflictions whether they are somatic (degenerative, ischemic and traumatic brain lesions), psychosomatic (psychomotor disadaptation syndrome, confinement to bed, nonuse situations) or psychological (depression) can cause backward disequilibrium. A vicious circle of falls, and loss of autonomy can arise and this is the main consequence of backward disequilibrium. Thus, in this paper, we review backward disequilibrium in elderly subjects with regard to the causes, consequences, assessment, and management. PMID:19281059

  14. Probabilistic Linkage of Police and Emergency Department Sources of Information on Motor-Vehicle Injury Cases: A Proposal for Improvement.

    PubMed Central

    Cirera, Eva; Plasència, Antoni; Ferrando, Josep; Arribas, Pere

    1999-01-01

    BACKGROUND The availability of complete data on traffic injury cases including both the crash circumstances as well as health outcomes is a key tool to tailor appropriate motor-vehicle injury prevention policies at local and regional levels. OBJECTIVE To explore the feasibility of the probabilistic linkage of police and hospital emergency department data regarding motor-vehicle injury cases in Barcelona (Spain), including the use of methodologies to optimize the linkage process. METHODS A probabilistic linkage process was performed using local police reports (n=12,481) as well as hospital emergency department data (n=16,733) from all traffic injury cases having occurred in 1997. The common variables in both files used were: age, sex, position, vehicle, hospital, date of the crash, and postal code of place of residence. RESULTS In all linked pairs at least one variable coincided, while in almost two out of every three pairs at least five of the seven variables coincided, and in 7,3% of the cases all variables coincided fully. CONCLUSION This work has allowed the empirical development of combined methods for the linkage of police and health care sources of information at the local level, as preliminary steps towards the construction of a data base including information on the circumstances and the consequences of motor-vehicle crashes.

  15. Characterization of Linkage Disequilibrium in a Rainbow Trout Broodstock Population

    Technology Transfer Automated Retrieval System (TEKTRAN)

    The development of selective breeding strategies employing marker assisted selection in species with low to medium density genetic maps must account for the non-random association of alleles between linked loci. To conduct efficient association studies and estimate the average size of haplotypes ge...

  16. Admixture and linkage disequilibrium analysis of meat goat breeds

    Technology Transfer Automated Retrieval System (TEKTRAN)

    Understanding the population structure and variation within the genome will assist with efforts to make genetic gains for meat goat production. A recently developed Illumina Goat 50K SNP panel containing 52,295 SNP loci was created primarily from SNPs identified in European dairy goat breeds and Asi...

  17. River Capture in Disequilibrium Landscapes

    NASA Astrophysics Data System (ADS)

    McCoy, S. W.; Perron, J.; Willett, S.; Goren, L.

    2013-12-01

    The process of river piracy or river capture has long drawn interest as a potential mechanism by which drainage basins large and small evolve towards an equilibrium state. River capture transfers both drainage area and drainage lines from one river basin to another, which can cause large, abrupt shifts in network topology, drainage divide positions, and river incision rates. Despite numerous case studies in which river capture has been proposed to have occurred, there is no general, mechanistic framework for understanding the controls on river capture, nor are there quantitative criteria for determining if capture has occurred. Here we use new metrics of landscape disequilibrium to first identify landscapes in which drainage reorganization is occurring. These metrics are based on a balance between an integral of the contributing drainage area and elevation. In an analysis of rivers in the Eastern United States we find that many rivers are in a state of disequilibrium and are experiencing recent or ongoing area exchange between basins. In these disequilibrium basins we find widespread evidence for network rearrangement via river capture at multiple scales. We then conduct numerical experiments with a 2-D landscape evolution model to explore the conditions in which area exchange among drainage basins is likely to occur as discrete capture events as opposed to continuous divide migration. These experiments indicate that: (1) capture activity increases with the degree of disequilibrium induced by persistent spatial gradients in tectonic forcing or by temporal changes in climate or tectonic forcing; (2) capture activity is strongly controlled by the initial planform drainage network geometry; and (3) capture activity scales with the fluvial incision rate constant in the river power erosion law.

  18. Construction of a virtual EPR and automated contextual linkage to multiple sources of support information on the Oxford Clinical Intranet.

    PubMed Central

    Kay, J. D.; Nurse, D.

    1999-01-01

    We have used internet-standard tools to provide access for clinicians to the components of the electronic patient record held on multiple remote disparate systems. Through the same interface we have provided access to multiple knowledgebases, some written locally and others published elsewhere. We have developed linkage between these two types of information which removes the need for the user to drill down into each knowledgebase to search for relevant information. This approach may help in the implementation of evidence-based practice. The major problems appear to be semantic rather than technological. The intranet was developed at low cost and is now in routine use. This approach appears to be transferable across systems and organisations. PMID:10566476

  19. Accuracy of a probabilistic record-linkage methodology used to track blood donors in the Mortality Information System database

    PubMed Central

    Capuani, Ligia; Bierrenbach, Ana Luiza; Abreu, Fatima; Takecian, Pedro Losco; Ferreira, João Eduardo; Sabino, Ester Cerdeira

    2016-01-01

    The probabilistic record linkage (PRL) is based on a likelihood score that measures the degree of similarity of several matching variables. Screening test results for different diseases are available for the blood donor population. In this paper, we describe the accuracy of a PRL process used to track blood donors from the Fundação Pró-Sangue (FPS) in the Mortality Information System (SIM), in order that future studies might determine the blood donor’s cause of death. The databases used for linkage were SIM and the database made up of individuals that were living (200 blood donors in 2007) and dead (196 from the Hospital das Clinicas de São Paulo that died in 2001–2005). The method consists of cleaning and linking the databases using three blocking steps comparing the variables “Name/Mother’s Name/ Date of Birth” to determine a cut-off score. For a cut-off score of 7.06, the sensitivity and specificity of the method is 94.4% (95%CI: 90.0–97.0) and 100% (95%CI: 98.0–100.0), respectively. This method can be used in studies that aim to track blood donors from the FPS database in SIM. PMID:25210903

  20. Toward allotetraploid cotton genome assembly: integration of a high-density molecular genetic linkage map with DNA sequence information

    PubMed Central

    2012-01-01

    Background Cotton is the world’s most important natural textile fiber and a significant oilseed crop. Decoding cotton genomes will provide the ultimate reference and resource for research and utilization of the species. Integration of high-density genetic maps with genomic sequence information will largely accelerate the process of whole-genome assembly in cotton. Results In this paper, we update a high-density interspecific genetic linkage map of allotetraploid cultivated cotton. An additional 1,167 marker loci have been added to our previously published map of 2,247 loci. Three new marker types, InDel (insertion-deletion) and SNP (single nucleotide polymorphism) developed from gene information, and REMAP (retrotransposon-microsatellite amplified polymorphism), were used to increase map density. The updated map consists of 3,414 loci in 26 linkage groups covering 3,667.62 cM with an average inter-locus distance of 1.08 cM. Furthermore, genome-wide sequence analysis was finished using 3,324 informative sequence-based markers and publicly-available Gossypium DNA sequence information. A total of 413,113 EST and 195 BAC sequences were physically anchored and clustered by 3,324 sequence-based markers. Of these, 14,243 ESTs and 188 BACs from different species of Gossypium were clustered and specifically anchored to the high-density genetic map. A total of 2,748 candidate unigenes from 2,111 ESTs clusters and 63 BACs were mined for functional annotation and classification. The 337 ESTs/genes related to fiber quality traits were integrated with 132 previously reported cotton fiber quality quantitative trait loci, which demonstrated the important roles in fiber quality of these genes. Higher-level sequence conservation between different cotton species and between the A- and D-subgenomes in tetraploid cotton was found, indicating a common evolutionary origin for orthologous and paralogous loci in Gossypium. Conclusion This study will serve as a valuable genomic resource

  1. Geographic Differences in Genetic Locus Linkages for Borrelia burgdorferi

    PubMed Central

    Travinsky, Bridgit; Bunikis, Jonas

    2010-01-01

    Borrelia burdorferi genotype in the northeastern United States is associated with Lyme borreliosis severity. Analysis of DNA sequences of the outer surface protein C gene and rrs-rrlA intergenic spacer from extracts of Ixodes spp. ticks in 3 US regions showed linkage disequilibrium between the 2 loci within a region but not consistently between regions. PMID:20587192

  2. A case study of the Secure Anonymous Information Linkage (SAIL) Gateway: A privacy-protecting remote access system for health-related research and evaluation☆

    PubMed Central

    Jones, Kerina H.; Ford, David V.; Jones, Chris; Dsilva, Rohan; Thompson, Simon; Brooks, Caroline J.; Heaven, Martin L.; Thayer, Daniel S.; McNerney, Cynthia L.; Lyons, Ronan A.

    2014-01-01

    With the current expansion of data linkage research, the challenge is to find the balance between preserving the privacy of person-level data whilst making these data accessible for use to their full potential. We describe a privacy-protecting safe haven and secure remote access system, referred to as the Secure Anonymised Information Linkage (SAIL) Gateway. The Gateway provides data users with a familiar Windows interface and their usual toolsets to access approved anonymously-linked datasets for research and evaluation. We outline the principles and operating model of the Gateway, the features provided to users within the secure environment, and how we are approaching the challenges of making data safely accessible to increasing numbers of research users. The Gateway represents a powerful analytical environment and has been designed to be scalable and adaptable to meet the needs of the rapidly growing data linkage community. PMID:24440148

  3. Demonstrating Cost-Effective Marker Assisted Selection for Biomass Yield in Red Clover (Trifolium pratense L.) – Part 2: Nested Within-Family Linkage Based Selection

    Technology Transfer Automated Retrieval System (TEKTRAN)

    Many linkage and linkage-disequilibrium based marker assisted selection (MAS) methodologies have been proposed. To achieve success, most require mapping populations and/or very high marker genome coverage. Presented is a MAS scheme that requires no mapping populations or known linkage group configur...

  4. Segregation and linkage analysis of serum angiotensin I-converting enzyme levels: Evidence for two quantitative-trait loci

    SciTech Connect

    McKenzie, C.A.; Keavney, B.; Farrall, M.

    1995-12-01

    Human serum angiotensin I-converting enzyme (ACE) levels vary substantially between individuals and are highly heritable. Segregation analysis in European families has shown that more than half of the total variability in ACE levels is influenced by quantitative-trait loci (QTL). One of these QTLs is located within or close to the ACE locus itself. Combined segregation/linkage analysis in a series of African Caribbean families from Jamaica shows that the ACE insertion-deletion polymorphism is in moderate linkage disequilibrium with an ACE-linked QTL. Linkage analysis with a highly informative polymorphism at the neighboring growth hormone gene (GH) shows surprisingly little support for linkage (LOD score [Z] = 0.12). An extended analysis with a two-QTL model, where an ACE-linked QTL interacts additively with an unlinked QTL, significantly improves both the fit of the model (P = .002) and the support for linkage between the ACE-linked QTL and GH polymorphism (Z = 5.0). We conclude that two QTLs jointly influence serum ACE levels in this population. One QTL is located within or close to the ACE locus and explains 27% of the total variability; the second QTL is unlinked to the ACE locus and explains 52% of the variability. The identification of the molecular mechanisms underlying both QTLs is necessary in order to interpret the role of ACE in cardiovascular disease. 44 refs., 7 tabs.

  5. Infinite dimensional variational inequalities and dynamic network disequilibrium modeling

    SciTech Connect

    Friesz, T.; Bernstein, D.

    1994-12-31

    In this paper we explain the importance of modeling disequilibrium flow patterns occurring on networks, with special emphasis on automobile networks and the role of information technology. We show how elementary notions of disequilibrium, whether abstract, physical or economic in nature, give rise to an adjustment process expressible as a dynamical system. We comment that when such a system is autonomous its steady states can be given the traditional finite dimensional variational inequality/fixed point representations common to static network equilibria. Beyond this, and unique to our work, we show that if the disequilibrium dynamical system is nonautonomous it may tend toward moving or dynamic (instead of static) network equilibria expressible as infinite dimensional variational inequalities. Using concepts of fast and slow dynamic systems, we show how day-to-day and within-day aspects of automobile travel decision making can be combined to yield a nonautonomous dynamical system with the mathematical properties reviewed previously. We introduce axioms for a proper predictive model of urban network flows which integrates both day-to-day and within-day considerations and postulate one such model for further study.

  6. Ancestry inference in complex admixtures via variable-length Markov chain linkage models.

    PubMed

    Rodriguez, Jesse M; Bercovici, Sivan; Elmore, Megan; Batzoglou, Serafim

    2013-03-01

    Inferring the ancestral origin of chromosomal segments in admixed individuals is key for genetic applications, ranging from analyzing population demographics and history, to mapping disease genes. Previous methods addressed ancestry inference by using either weak models of linkage disequilibrium, or large models that make explicit use of ancestral haplotypes. In this paper we introduce ALLOY, an efficient method that incorporates generalized, but highly expressive, linkage disequilibrium models. ALLOY applies a factorial hidden Markov model to capture the parallel process producing the maternal and paternal admixed haplotypes, and models the background linkage disequilibrium in the ancestral populations via an inhomogeneous variable-length Markov chain. We test ALLOY in a broad range of scenarios ranging from recent to ancient admixtures with up to four ancestral populations. We show that ALLOY outperforms the previous state of the art, and is robust to uncertainties in model parameters. PMID:23421795

  7. Ancestry Inference in Complex Admixtures via Variable-length Markov Chain Linkage Models

    PubMed Central

    Bercovici, Sivan; Elmore, Megan; Batzoglou, Serafim

    2013-01-01

    Abstract Inferring the ancestral origin of chromosomal segments in admixed individuals is key for genetic applications, ranging from analyzing population demographics and history, to mapping disease genes. Previous methods addressed ancestry inference by using either weak models of linkage disequilibrium, or large models that make explicit use of ancestral haplotypes. In this paper we introduce ALLOY, an efficient method that incorporates generalized, but highly expressive, linkage disequilibrium models. ALLOY applies a factorial hidden Markov model to capture the parallel process producing the maternal and paternal admixed haplotypes, and models the background linkage disequilibrium in the ancestral populations via an inhomogeneous variable-length Markov chain. We test ALLOY in a broad range of scenarios ranging from recent to ancient admixtures with up to four ancestral populations. We show that ALLOY outperforms the previous state of the art, and is robust to uncertainties in model parameters. PMID:23421795

  8. High-density sex-specific linkage maps of a European tree frog (Hyla arborea) identify the sex chromosome without information on offspring sex.

    PubMed

    Brelsford, A; Dufresnes, C; Perrin, N

    2016-02-01

    Identifying homology between sex chromosomes of different species is essential to understanding the evolution of sex determination. Here, we show that the identity of a homomorphic sex chromosome pair can be established using a linkage map, without information on offspring sex. By comparing sex-specific maps of the European tree frog Hyla arborea, we find that the sex chromosome (linkage group 1) shows a threefold difference in marker number between the male and female maps. In contrast, the number of markers on each autosome is similar between the two maps. We also find strongly conserved synteny between H. arborea and Xenopus tropicalis across 200 million years of evolution, suggesting that the rate of chromosomal rearrangement in anurans is low. Finally, we show that recombination in males is greatly reduced at the centers of large chromosomes, consistent with previous cytogenetic findings. Our research shows the importance of high-density linkage maps for studies of recombination, chromosomal rearrangement and the genetic architecture of ecologically or economically important traits. PMID:26374238

  9. Validation of the STR DXS7424 and the linkage situation on the X-chromosome.

    PubMed

    Edelmann, Jeanett; Hering, Sandra; Kuhlisch, Eberhard; Szibor, Reinhard

    2002-02-18

    X-linked microsatellite markers have proven to be powerful tools for parentage testing, mainly in deficiency paternity cases when the disputed child is female. However, only a small number of X-linked short tandem repeats (STRs) have been comprehensively described for forensic applications to date. We present sequence and population genetic data of the DXS7424 STR (GDB-G00-577-633) which is a trinucleotide repeat polymorphism representing 12 alleles of 147-180 bp in length. DXS7424 is located at Xq22 and closely linked to DXS101, corresponding to a genetic localisation of 104.9-121 cM from Xp-tel.PCR fragment length measurements and sequencing were carried out using the automatic gene analyser ABI 310 (Applied Biosystems). The population of 764 unrelated Germans checked for this STR exhibited the following features: polymorphism information content (PIC) = 0.780; heterozygosity (Het) = 0.843; mean exclusion chance (MEC = 0.766. Kinship tests revealed a typical X-linked inheritance. In 300 meioses under investigation, mutations were not found. Significant deviations from the Hardy-Weinberg equilibrium (HWE) were not established. Linkage studies confirmed closely linkage to DXS101. Additional we found linkage disequilibrium between DXS7424 and DXS101. This requires to use the established haplotype frequencies in kinship testing. PMID:11909667

  10. Genomic Scans of Zygotic Disequilibrium and Epistatic SNPs in HapMap Phase III Populations

    PubMed Central

    Hu, Xin-Sheng; Hu, Yang

    2015-01-01

    Previous theory indicates that zygotic linkage disequilibrium (LD) is more informative than gametic or composite digenic LD in revealing natural population history. Further, the difference between the composite digenic and maximum zygotic LDs can be used to detect epistatic selection for fitness. Here we corroborate the theory by investigating genome-wide zygotic LDs in HapMap phase III human populations. Results show that non-Africa populations have much more significant zygotic LDs than do Africa populations. Africa populations (ASW, LWK, MKK, and YRI) possess more significant zygotic LDs for the double-homozygotes (DAABB) than any other significant zygotic LDs (DAABb, DAaBB, and DAaBb), while non-Africa populations generally have more significant DAaBb’s than any other significant zygotic LDs (DAABB, DAABb, and DAaBB). Average r-squares for any significant zygotic LDs increase generally in an order of populations YRI, MKK, CEU, CHB, LWK, JPT, CHD, TSI, GIH, ASW, and MEX. Average r-squares are greater for DAABB and DAaBb than for DAaBB and DAABb in each population. YRI and MKK can be separated from LWK and ASW in terms of the pattern of average r-squares. All population divergences in zygotic LDs can be interpreted with the model of Out of Africa for modern human origins. We have also detected 19735-95921 SNP pairs exhibiting strong signals of epistatic selection in different populations. Gene-gene interactions for some epistatic SNP pairs are evident from empirical findings, but many more epistatic SNP pairs await evidence. Common epistatic SNP pairs rarely exist among all populations, but exist in distinct regions (Africa, Europe, and East Asia), which helps to understand geographical genomic medicine. PMID:26126177