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Sample records for candidate gene rom1

  1. Cloning of canine rom-1 and its investigation as a candidate gene for generalized progressive retinal atrophies in dogs.

    PubMed

    Gould, D J; Petersen-Jones, S M; Lin, C T; Sargan, D R

    1997-12-01

    Generalized progressive retinal atrophy (gPRA) represents a genetically heterogenous group of retinal degenerations affecting pedigree dogs. Currently, we are using a candidate gene approach in an attempt to identify mutations causing gPRA in dogs. Here we report the cloning, sequencing and analysis of canine rom-1, a structural gene of the rod photoreceptor. Single-stranded conformation polymorphism (SSCP) analysis was used to look for polymorphisms segregating with gPRA in the English cocker spaniel, Labrador retriever, miniature poodle, miniature long-haired dachshund, Tibetan terrier, miniature schnauzer, Cardigan Welsh corgi and Irish wolfhound. Further investigation involved DNA sequencing and restriction fragment length polymorphism (RFLP) analysis. Our studies revealed the presence of three polymorphisms, none of which segregated with disease phenotype. Haplotype analysis identified four rom-1 alleles. Our results indicate that rom-1 is unlikely to be a cause of gPRA in the breeds of dog examined. PMID:9589581

  2. Refining the locus for Best vitelliform macular dystrophy and mutation analysis of the candidate gene ROM1.

    PubMed Central

    Nichols, B. E.; Bascom, R.; Litt, M.; McInnes, R.; Sheffield, V. C.; Stone, E. M.

    1994-01-01

    Vitelliform macular dystrophy (Best disease) is an autosomal dominant macular dystrophy which shares important clinical features with age-related macular degeneration, the most common cause of legal blindness in the elderly. Unfortunately, our understanding and treatment for this common age-related disorder is limited. Discovery of the gene which causes Best disease has the potential to increase our understanding of the pathogenesis of all types of macular degeneration, including the common age-related form. Best disease has recently been mapped to chromosome 11q13. The photoreceptor-specific protein ROM1 has also been recently mapped to this location, and the ROM1 gene is a candidate gene for Best disease. Using highly polymorphic markers, we have narrowed the genetic region which contains the Best disease gene to the 10-cM region between markers D11S871 and PYGM. Marker D11S956 demonstrated no recombinants with Best disease in three large families and resulted in a lod score of 18.2. In addition, a polymorphism within the ROM1 gene also demonstrated no recombinants and resulted in a lod score of 10.0 in these same three families. We used a combination of SSCP analysis, denaturing gradient gel electrophoresis, and DNA sequencing to screen the entire coding region of the ROM1 gene in 11 different unrelated patients affected with Best disease. No nucleotide changes were found in the coding sequence of any affected patient, indicating that mutations within the coding sequence are unlikely to cause Best disease. Images Figure 2 PMID:8279475

  3. Refining the locus for Best vitelliform macular dystrophy and mutation analysis of the candidate gene ROM1.

    PubMed

    Nichols, B E; Bascom, R; Litt, M; McInnes, R; Sheffield, V C; Stone, E M

    1994-01-01

    Vitelliform macular dystrophy (Best disease) is an autosomal dominant macular dystrophy which shares important clinical features with age-related macular degeneration, the most common cause of legal blindness in the elderly. Unfortunately, our understanding and treatment for this common age-related disorder is limited. Discovery of the gene which causes Best disease has the potential to increase our understanding of the pathogenesis of all types of macular degeneration, including the common age-related form. Best disease has recently been mapped to chromosome 11q13. The photoreceptor-specific protein ROM1 has also been recently mapped to this location, and the ROM1 gene is a candidate gene for Best disease. Using highly polymorphic markers, we have narrowed the genetic region which contains the Best disease gene to the 10-cM region between markers D11S871 and PYGM. Marker D11S956 demonstrated no recombinants with Best disease in three large families and resulted in a lod score of 18.2. In addition, a polymorphism within the ROM1 gene also demonstrated no recombinants and resulted in a lod score of 10.0 in these same three families. We used a combination of SSCP analysis, denaturing gradient gel electrophoresis, and DNA sequencing to screen the entire coding region of the ROM1 gene in 11 different unrelated patients affected with Best disease. No nucleotide changes were found in the coding sequence of any affected patient, indicating that mutations within the coding sequence are unlikely to cause Best disease. PMID:8279475

  4. Refining the locus for Best vitelliform macular dystrophy and mutation analysis of the candidate gene ROM1

    SciTech Connect

    Nichols, B.E.; Stone, E.M.; Sheffield, V.C. ); McInnes, R.; Bascom, R. ); Litt, M. )

    1994-01-01

    Vitelliform macular dystrophy (Best disease) is an autosomal dominant macular dystrophy which shares important clinical features with age-related macular degeneration, the most common cause of legal blindness in the elderly. Unfortunately, understanding and treatment for this common age-related disorder is limited. Discovery of the gene which causes Best disease has the potential to increase the understanding of the pathogenesis of all types of macular degeneration, including the common age-related form. Best disease has recently been mapped to chromosome 11q13. The photoreceptor-specific protein ROM1 has also been recently mapped to this location, and the ROM1 gene is a candidate gene for Best disease. Using highly polymorphic markers, the authors have narrowed the genetic region which contains the Best disease gene to the 10-cM region between markers D11S871 and PYGM. Marker D11S956 demonstrated no recombinants with Best disease in three large families and resulted in a lod score of 18.2. In addition, a polymorphism within the ROM1 gene also demonstrated no recombinants and resulted in a lod score of 10.0 in these same three families. The authors used a combination of SSCP analysis, denaturing gradient gel electrophoresis, and DNA sequencing to screen the entire coding region of the ROM1 gene in 11 different unrelated patients affected with Best disease. No nucleotide changes were found in the coding sequence of any affected patient, indicating that mutations within the coding sequence are unlikely to cause Best disease. 28 refs., 3 figs., 2 tabs.

  5. Fine mapping of Best`s macular dystrophy localizes the gene in close proximity to but distinct from the D11S480/ROM1 loci

    SciTech Connect

    Graff, C.; Weissenbach, J.; Wadelius, C.

    1994-12-01

    The Best`s macular dystrophy (BMD) gene has previously been mapped to the 11q13 region. In this study, recombination data localizes the BMD gene to the 6-cM genetic interval between the markers Fc{epsilon}RI and D11S480/ROM1 in a large Swedish 12-generation BMD family. Mutation analyses of the candidate gene ROM1 did not reveal any mutations that could explain the disease phenotype. However, one recombination event between intragenic ROM1 polymorphisms and the BMD phenotype was detected. Therefore, it is highly unlikely that mutations in the ROM1 gene cause BMD. Identification of the disease gene will elucidate the pathophysiological mechanism in BMD, which may also be of importance in other retinopathies such as age-related macular degeneration. 50 refs., 4 figs., 4 tabs.

  6. Fine mapping of Best`s macular dystrophy localises the gene in close proximity to, but distinct from, the D115480/ROM1

    SciTech Connect

    Graff, C.; Ahlbom, B.E.; Anneren, G.

    1994-09-01

    Best`s macular dystrophy (BMD) is an autosomal dominant disease characterized by accumulation of lipofuscin beneath the pigment epithelium of the macula, leading to early-onset impairment of central vision. The gene has previously been mapped to 11q13. Based on DNA from 191 people from a large 12-generation family, the gene now has been mapped to a 1.5 cM interval between the markers Fc{epsilon}RI and D11S480/ROM1. By disequilibrium analysis the gene was estimated to be 0.321 cM centromeric to the marker D11S480. Since this on average corresponds to 300 kb, the gene may be at a distance contained in YAC molecules. To physically characterize this region, YAC clones positive for markers flanking BMD have been identified. Sequence analysis of the candidate gene ROM1 did not reveal any mutation. However, one recombination between intragenic ROM1 polymorphisms and BMD was detected, which make it highly unlikely that mutations in ROM1 are causing BMD.

  7. Candidate gene prioritization with Endeavour.

    PubMed

    Tranchevent, Léon-Charles; Ardeshirdavani, Amin; ElShal, Sarah; Alcaide, Daniel; Aerts, Jan; Auboeuf, Didier; Moreau, Yves

    2016-07-01

    Genomic studies and high-throughput experiments often produce large lists of candidate genes among which only a small fraction are truly relevant to the disease, phenotype or biological process of interest. Gene prioritization tackles this problem by ranking candidate genes by profiling candidates across multiple genomic data sources and integrating this heterogeneous information into a global ranking. We describe an extended version of our gene prioritization method, Endeavour, now available for six species and integrating 75 data sources. The performance (Area Under the Curve) of Endeavour on cross-validation benchmarks using 'gold standard' gene sets varies from 88% (for human phenotypes) to 95% (for worm gene function). In addition, we have also validated our approach using a time-stamped benchmark derived from the Human Phenotype Ontology, which provides a setting close to prospective validation. With this benchmark, using 3854 novel gene-phenotype associations, we observe a performance of 82%. Altogether, our results indicate that this extended version of Endeavour efficiently prioritizes candidate genes. The Endeavour web server is freely available at https://endeavour.esat.kuleuven.be/. PMID:27131783

  8. A heterozygous putative null mutation in ROM1 without a mutation in peripherin/RDS in a family with retinitis pigmentosa

    SciTech Connect

    Sakuma, Hitoshi; Inana, G.; Murakami, Akira

    1995-05-20

    ROM1 is a 351-amino-acid, 37-kDa outer segment membrane protein of rod photoreceptors. ROM1 is related to peripherin/RDS, another outer segment membrane protein found in both rods and cones. The precise function of ROM1 or peripherin/RDS is not known, but they have been suggested to play important roles in the function and/or structure of the rod photoreceptor outer segment disks. A recent report implicated ROM1 in disease by suggesting that RP can be caused by a heterozygous null mutation in ROM1 but only in combination with another heterozygous mutation in peripherin/RDS. Screening of the ROM1 gene using polymerase chain reaction amplification, denaturing gradient gel electrophoresis, and direct DNA sequencing identified the same heterozygous putative null mutation in a family with RP.

  9. Evaluating historical candidate genes for schizophrenia.

    PubMed

    Farrell, M S; Werge, T; Sklar, P; Owen, M J; Ophoff, R A; O'Donovan, M C; Corvin, A; Cichon, S; Sullivan, P F

    2015-05-01

    Prior to the genome-wide association era, candidate gene studies were a major approach in schizophrenia genetics. In this invited review, we consider the current status of 25 historical candidate genes for schizophrenia (for example, COMT, DISC1, DTNBP1 and NRG1). The initial study for 24 of these genes explicitly evaluated common variant hypotheses about schizophrenia. Our evaluation included a meta-analysis of the candidate gene literature, incorporation of the results of the largest genomic study yet published for schizophrenia, ratings from informed researchers who have published on these genes, and ratings from 24 schizophrenia geneticists. On the basis of current empirical evidence and mostly consensual assessments of informed opinion, it appears that the historical candidate gene literature did not yield clear insights into the genetic basis of schizophrenia. A likely reason why historical candidate gene studies did not achieve their primary aims is inadequate statistical power. However, the considerable efforts embodied in these early studies unquestionably set the stage for current successes in genomic approaches to schizophrenia. PMID:25754081

  10. Evaluating Historical Candidate Genes for Schizophrenia

    PubMed Central

    Farrell, Martilias; Werge, Thomas; Sklar, Pamela; Owen, Michael J.; Ophoff, Roel; O’Donovan, Michael; Corvin, Aiden; Cichon, Sven; Sullivan, Patrick F

    2015-01-01

    Prior to the genome-wide association era, candidate gene studies were a major approach in schizophrenia genetics. In this invited review, we consider the current status of 25 historical candidate genes for schizophrenia (e.g., COMT, DISC1, DTNBP1, and NRG1). The initial study for 24 of these genes explicitly evaluated common variant hypotheses about schizophrenia. Our evaluation included a meta-analysis of the candidate gene literature, incorporation of the results of the largest genomic study yet published for schizophrenia, ratings from informed researchers who have published on these genes, and ratings from 24 schizophrenia geneticists. On the basis of current empirical evidence and mostly consensual assessments of informed opinion, it appears that the historical candidate gene literature did not yield clear insights into the genetic basis of schizophrenia. A likely reason why historical candidate gene studies did not achieve their primary aims is inadequate statistical power. However, the considerable efforts embodied in these early studies unquestionably set the stage for current successes in genomic approaches to schizophrenia. PMID:25754081

  11. Phenoscape: Identifying Candidate Genes for Evolutionary Phenotypes.

    PubMed

    Edmunds, Richard C; Su, Baofeng; Balhoff, James P; Eames, B Frank; Dahdul, Wasila M; Lapp, Hilmar; Lundberg, John G; Vision, Todd J; Dunham, Rex A; Mabee, Paula M; Westerfield, Monte

    2016-01-01

    Phenotypes resulting from mutations in genetic model organisms can help reveal candidate genes for evolutionarily important phenotypic changes in related taxa. Although testing candidate gene hypotheses experimentally in nonmodel organisms is typically difficult, ontology-driven information systems can help generate testable hypotheses about developmental processes in experimentally tractable organisms. Here, we tested candidate gene hypotheses suggested by expert use of the Phenoscape Knowledgebase, specifically looking for genes that are candidates responsible for evolutionarily interesting phenotypes in the ostariophysan fishes that bear resemblance to mutant phenotypes in zebrafish. For this, we searched ZFIN for genetic perturbations that result in either loss of basihyal element or loss of scales phenotypes, because these are the ancestral phenotypes observed in catfishes (Siluriformes). We tested the identified candidate genes by examining their endogenous expression patterns in the channel catfish, Ictalurus punctatus. The experimental results were consistent with the hypotheses that these features evolved through disruption in developmental pathways at, or upstream of, brpf1 and eda/edar for the ancestral losses of basihyal element and scales, respectively. These results demonstrate that ontological annotations of the phenotypic effects of genetic alterations in model organisms, when aggregated within a knowledgebase, can be used effectively to generate testable, and useful, hypotheses about evolutionary changes in morphology. PMID:26500251

  12. Phenoscape: Identifying Candidate Genes for Evolutionary Phenotypes

    PubMed Central

    Edmunds, Richard C.; Su, Baofeng; Balhoff, James P.; Eames, B. Frank; Dahdul, Wasila M.; Lapp, Hilmar; Lundberg, John G.; Vision, Todd J.; Dunham, Rex A.; Mabee, Paula M.; Westerfield, Monte

    2016-01-01

    Phenotypes resulting from mutations in genetic model organisms can help reveal candidate genes for evolutionarily important phenotypic changes in related taxa. Although testing candidate gene hypotheses experimentally in nonmodel organisms is typically difficult, ontology-driven information systems can help generate testable hypotheses about developmental processes in experimentally tractable organisms. Here, we tested candidate gene hypotheses suggested by expert use of the Phenoscape Knowledgebase, specifically looking for genes that are candidates responsible for evolutionarily interesting phenotypes in the ostariophysan fishes that bear resemblance to mutant phenotypes in zebrafish. For this, we searched ZFIN for genetic perturbations that result in either loss of basihyal element or loss of scales phenotypes, because these are the ancestral phenotypes observed in catfishes (Siluriformes). We tested the identified candidate genes by examining their endogenous expression patterns in the channel catfish, Ictalurus punctatus. The experimental results were consistent with the hypotheses that these features evolved through disruption in developmental pathways at, or upstream of, brpf1 and eda/edar for the ancestral losses of basihyal element and scales, respectively. These results demonstrate that ontological annotations of the phenotypic effects of genetic alterations in model organisms, when aggregated within a knowledgebase, can be used effectively to generate testable, and useful, hypotheses about evolutionary changes in morphology. PMID:26500251

  13. Mining biological databases for candidate disease genes

    NASA Astrophysics Data System (ADS)

    Braun, Terry A.; Scheetz, Todd; Webster, Gregg L.; Casavant, Thomas L.

    2001-07-01

    The publicly-funded effort to sequence the complete nucleotide sequence of the human genome, the Human Genome Project (HGP), has currently produced more than 93% of the 3 billion nucleotides of the human genome into a preliminary `draft' format. In addition, several valuable sources of information have been developed as direct and indirect results of the HGP. These include the sequencing of model organisms (rat, mouse, fly, and others), gene discovery projects (ESTs and full-length), and new technologies such as expression analysis and resources (micro-arrays or gene chips). These resources are invaluable for the researchers identifying the functional genes of the genome that transcribe and translate into the transcriptome and proteome, both of which potentially contain orders of magnitude more complexity than the genome itself. Preliminary analyses of this data identified approximately 30,000 - 40,000 human `genes.' However, the bulk of the effort still remains -- to identify the functional and structural elements contained within the transcriptome and proteome, and to associate function in the transcriptome and proteome to genes. A fortuitous consequence of the HGP is the existence of hundreds of databases containing biological information that may contain relevant data pertaining to the identification of disease-causing genes. The task of mining these databases for information on candidate genes is a commercial application of enormous potential. We are developing a system to acquire and mine data from specific databases to aid our efforts to identify disease genes. A high speed cluster of Linux of workstations is used to analyze sequence and perform distributed sequence alignments as part of our data mining and processing. This system has been used to mine GeneMap99 sequences within specific genomic intervals to identify potential candidate disease genes associated with Bardet-Biedle Syndrome (BBS).

  14. Phenol sulfotransferases: Candidate genes for Batten disease

    SciTech Connect

    Dooley, T.P.; Probst, P.; Obermoeller, R.D.

    1995-06-05

    Batten disease (juvenile-onset neuronal ceroid lipofuscinosis; JNCL) is an autosomal recessive neurodegenerative disorder, characterized by the cytosomal accumulation of autofluorescent protolipopigments in neurons and other cell types. The Batten disease gene (CLN3) has not yet been identified, but has been mapped to a small region of human chromosome area 16p12.1-p11.2. We recently reported the fortuitous discovery that the cytosolic phenol sulfotransferase gene (STP) is located within this same interval of chromosome 16p. Since phenol sulfotransferase is expressed in neurons, can sulfate lipophilic phenolic compounds, and is mapped near CLN3, STP is considered as a candidate gene for Batten disease. YAC and cosmid cloning results have further substantiated the close proximity of STP and a highly related sulfotransferase (STM), encoding the catecholamine-preferring enzyme, to the CLN3 region of chromosome 16p. In this report, we summarize some of the recent progress in the identification of two phenol sulfotransferase genes (STP and STM) as positional candidate genes for Batten disease. 42 refs., 1 tab.

  15. Digenic retinitis pigmentosa due to mutations at the unlinked peripherin/RDS and ROM1 loci

    SciTech Connect

    Kajiwara, K.; Berson, E.L.; Dryja, T.P. )

    1994-06-10

    In spite of recent advances in identifying genes causing monogenic human disease, very little is known about the genes involved in polygenic disease. Three families were identified with mutations in the unlinked photoreceptor-specific genes ROM 1 and peripherin/RDS, in which only double heterozygotes develop retinitis pigmentosa (RP). These findings indicate that the allelic and nonallelic heterogeneity known to be a feature of monogenic RP is complicated further by interactions between unlinked mutations causing digenic RP. Recognition of the inheritance pattern exemplified by these three families might facilitate the identification of other examples of digenic inheritance in human disease.

  16. CRISPLD2: a novel NSCLP candidate gene.

    PubMed

    Chiquet, Brett T; Lidral, Andrew C; Stal, Samuel; Mulliken, John B; Moreno, Lina M; Arcos-Burgos, Mauricio; Arco-Burgos, Mauricio; Valencia-Ramirez, Consuelo; Blanton, Susan H; Hecht, Jacqueline T

    2007-09-15

    Non-syndromic cleft lip with or without cleft palate (NSCLP) results from the complex interaction between genes and environmental factors. Candidate gene analysis and genome scans have been employed to identify the genes contributing to NSCLP. In this study, we evaluated the 16q24.1 chromosomal region, which has been identified by multiple genome scans as an NSCLP region of interest. Two candidate genes were found in the region: interferon regulatory factor 8 (IRF8) and cysteine-rich secretory protein LCCL domain containing 2 (CRISPLD2). Initially, Caucasian and Hispanic NSCLP multiplex families and simplex parent-child trios were genotyped for single nucleotide polymorphisms (SNPs) in both IRF8 and CRISPLD2. CRISPLD2 was subsequently genotyped in a data set comprised of NSCLP families from Colombia, South America. Linkage disequilibrium analysis identified a significant association between CRISPLD2 and NSCLP in both our Caucasian and Hispanic NSCLP cohorts. SNP rs1546124 and haplotypes between rs1546124 and either rs4783099 or rs16974880 were significant in the Caucasian multiplex population (P=0.01, P=0.002 and P=0.001, respectively). An altered transmission of CRISPLD2 SNPs rs8061351 (P=0.02) and rs2326398 (P=0.06) was detected in the Hispanic population. No association was found between CRISPLD2 and our Colombian population or IRF8 and NSCLP. In situ hybridization showed that CRISPLD2 is expressed in the mandible, palate and nasopharynx regions during craniofacial development at E13.5-E17.5, respectively. Altogether, these data suggest that genetic variation in CRISPLD2 has a role in the etiology of NSCLP. PMID:17616516

  17. CRISPLD2: a novel NSCLP candidate gene

    PubMed Central

    Chiquet, Brett T.; Lidral, Andrew C.; Stal, Samuel; Mulliken, John B.; Moreno, Lina M.; Arco-Burgos, Mauricio; Valencia-Ramirez, Consuelo; Blanton, Susan H.; Hecht, Jacqueline T.

    2013-01-01

    Non-syndromic cleft lip with or without cleft palate (NSCLP) results from the complex interaction between genes and environmental factors. Candidate gene analysis and genome scans have been employed to identify the genes contributing to NSCLP. In this study, we evaluated the 16q24.1 chromosomal region, which has been identified by multiple genome scans as an NSCLP region of interest. Two candidate genes were found in the region: interferon regulatory factor 8 (IRF8) and cysteine-rich secretory protein LCCL domain containing 2 (CRISPLD2). Initially, Caucasian and Hispanic NSCLP multiplex families and simplex parent–child trios were genotyped for single nucleotide polymorphisms (SNPs) in both IRF8 and CRISPLD2. CRISPLD2 was subsequently genotyped in a data set comprised of NSCLP families from Colombia, South America. Linkage disequilibrium analysis identified a significant association between CRISPLD2 and NSCLP in both our Caucasian and Hispanic NSCLP cohorts. SNP rs1546124 and haplotypes between rs1546124 and either rs4783099 or rs16974880 were significant in the Caucasian multiplex population (P = 0.01, P = 0.002 and P = 0.001, respectively). An altered transmission of CRISPLD2 SNPs rs8061351 (P = 0.02) and rs2326398 (P = 0.06) was detected in the Hispanic population. No association was found between CRISPLD2 and our Colombian population or IRF8 and NSCLP. In situ hybridization showed that CRISPLD2 is expressed in the mandible, palate and nasopharynx regions during craniofacial development at E13.5–E17.5, respectively. Altogether, these data suggest that genetic variation in CRISPLD2 has a role in the etiology of NSCLP. PMID:17616516

  18. Candidate Gene Associations to Withdrawn Behavior

    PubMed Central

    Rubin, David H.; Althoff, Robert R.; Ehli, Erik A.; Davies, Gareth E.; Rettew, David C.; Crehan, Eileen T.; Walkup, John T.; Hudziak, James J.

    2013-01-01

    BACKGROUND Social withdrawal is a core neuropsychiatric phenomenon in developmental psychopathology. Its presence predicts psychopathology across many domains, including depression, psychosis, autism, anxiety, and suicide. Withdrawn behavior is highly heritable, persistent, and characteristically worsens without intervention. To date, few studies have successfully identified genetic associations with withdrawn behavior, despite the abundance of evidence of its heritability. This may be due to reliance of categorical over dimensional measures of the behaviorally inhibited phenotype. The aim of this study is to identify associations between known psychiatric candidate genes and a dimensionally derived measure of withdrawn behavior. METHODS Genetic information was collected on 20 Single-nucleotide Polymorphisms (SNPs) from a custom-designed SNP chip and TAQMAN arrays of 4 Variable Number of Tandem Repeat (VNTR) genes for 551 individuals from 187 families. Linear mixed modeling was employed to examine the relationship between genotypes of interest and Child Behavior Checklist (CBCL) Withdrawn Behavior Subscale Score (WBS) while controlling for gender and age through multiple linear regressions. RESULTS Withdrawn behavior was highly associated with polymorphism rs6314 of the Serotonin Receptor 2A (HTR2A) [p = 0.009, estimate = 0.310 (bootstrap 95% CI 0.155 – 0.448), bootstrap p = 0.001)] and rs1800544 of the Alpha 2 Adrenergic (ADRA2A) [p = 0.001, estimate = - 0.310 (bootstrap 95% CI -0.479 – -0.126), bootstrap p = 0.001)] genes after correction for gender and age. The association between withdrawn behavior and ADRA2A was stronger for younger children. CONCLUSIONS HTR2A and ADRA2A genes are associated with withdrawn behavior. This reinforces the role of catecholaminergic genes in the heritability of withdrawn behavior. PMID:23808549

  19. IBD Candidate Genes and Intestinal Barrier Regulation

    PubMed Central

    McCole, Declan F.

    2015-01-01

    Technological advances in the large scale analysis of human genetics have generated profound insights into possible genetic contributions to chronic diseases including the inflammatory bowel diseases (IBDs), Crohn’s disease and ulcerative colitis. To date, 163 distinct genetic risk loci have been associated with either Crohn’s disease or ulcerative colitis, with a substantial degree of genetic overlap between these 2 conditions. Although many risk variants show a reproducible correlation with disease, individual gene associations only affect a subset of patients, and the functional contribution(s) of these risk variants to the onset of IBD is largely undetermined. Although studies in twins have demonstrated that the development of IBD is not mediated solely by genetic risk, it is nevertheless important to elucidate the functional consequences of risk variants for gene function in relevant cell types known to regulate key physiological processes that are compromised in IBD. This article will discuss IBD candidate genes that are known to be, or are suspected of being, involved in regulating the intestinal epithelial barrier and several of the physiological processes presided over by this dynamic and versatile layer of cells. This will include assembly and regulation of tight junctions, cell adhesion and polarity, mucus and glycoprotein regulation, bacterial sensing, membrane transport, epithelial differentiation, and restitution. PMID:25215613

  20. CANDID: A flexible method for prioritizing candidate genes for complex human traits

    PubMed Central

    Hutz, Janna E.; Kraja, Aldi T.; McLeod, Howard L.; Province, Michael A.

    2015-01-01

    Genomewide studies and localized candidate gene approaches have become everyday study designs for identifying polymorphisms in genes that influence complex human traits. Yet, in general, the number of significant findings and the need to focus in smaller regions require a prioritization of genes for further study. Some candidate gene identification algorithms have been proposed in recent years to attempt to streamline this prioritization, but many suffer from limitations imposed by the source data or are difficult to use and understand. CANDID is a prioritization algorithm designed to produce impartial, accurate rankings of candidate genes that influence complex human traits. CANDID can use information from publications, protein domain descriptions, cross-species conservation measures, gene expression profiles, and protein-protein interactions in its analysis. Additionally, users may supplement these data sources with results from linkage, association and other studies. CANDID was tested on well-known complex trait genes using data from the Online Mendelian Inheritance in Man (OMIM) database. Additionally, CANDID was evaluated in a modeled gene discovery environment, where it ranked genes whose trait associations were published after CANDID’s databases were compiled. In all settings, CANDID exhibited high sensitivity and specificity, indicating an improvement upon previously published algorithms. Its accuracy and ease of use make CANDID a highly useful tool in study design and analysis for complex human traits. PMID:18613097

  1. Candidate reference genes for gene expression studies in water lily.

    PubMed

    Luo, Huolin; Chen, Sumei; Wan, Hongjian; Chen, Fadi; Gu, Chunsun; Liu, Zhaolei

    2010-09-01

    The selection of an appropriate reference gene(s) is a prerequisite for the proper interpretation of quantitative Real-Time polymerase chain reaction data. We report the evaluation of eight candidate reference genes across various tissues and treatments in the water lily by the two software packages geNorm and NormFinder. Across all samples, clathrin adaptor complexes medium subunit (AP47) and actin 11 (ACT11) emerged as the most suitable reference genes. Across different tissues, ACT11 and elongation factor 1-alpha (EF1alpha) exhibited a stable expression pattern. ACT11 and AP47 also stably expressed in roots subjected to various treatments, but in the leaves of the same plants the most stably expressed genes were ubiquitin-conjugating enzyme 16 (UBC16) and ACT11. PMID:20452325

  2. On improving the credibility of candidate gene studies: A review of candidate gene studies published in Emotion.

    PubMed

    Okbay, Aysu; Rietveld, Cornelius A

    2015-08-01

    The discovery of genetic variants associated with psychological traits deepens our knowledge about causes and consequences of individual differences. In psychology, the standard approach to identify these variants is the "candidate gene study." In a candidate gene study, a limited set of genetic variants is selected based on their hypothesized or known biological function, and these variants are tested for association with the psychological trait of interest. The successful replication of published candidate gene studies, however, is alarmingly scarce. In this article we describe the challenges to successfully identifying genetic associations, and review the candidate gene studies published in Emotion. We conclude that the implementation of 4 methodological guidelines developed by the Behavior Genetics Association for evaluating candidate gene studies will help to increase the credibility of candidate gene study findings. PMID:26214572

  3. Pathogenic Network Analysis Predicts Candidate Genes for Cervical Cancer

    PubMed Central

    Zhang, Yun-Xia

    2016-01-01

    Purpose. The objective of our study was to predicate candidate genes in cervical cancer (CC) using a network-based strategy and to understand the pathogenic process of CC. Methods. A pathogenic network of CC was extracted based on known pathogenic genes (seed genes) and differentially expressed genes (DEGs) between CC and normal controls. Subsequently, cluster analysis was performed to identify the subnetworks in the pathogenic network using ClusterONE. Each gene in the pathogenic network was assigned a weight value, and then candidate genes were obtained based on the weight distribution. Eventually, pathway enrichment analysis for candidate genes was performed. Results. In this work, a total of 330 DEGs were identified between CC and normal controls. From the pathogenic network, 2 intensely connected clusters were extracted, and a total of 52 candidate genes were detected under the weight values greater than 0.10. Among these candidate genes, VIM had the highest weight value. Moreover, candidate genes MMP1, CDC45, and CAT were, respectively, enriched in pathway in cancer, cell cycle, and methane metabolism. Conclusion. Candidate pathogenic genes including MMP1, CDC45, CAT, and VIM might be involved in the pathogenesis of CC. We believe that our results can provide theoretical guidelines for future clinical application. PMID:27034707

  4. A genomic view on epilepsy and autism candidate genes.

    PubMed

    Jabbari, Kamel; Nürnberg, Peter

    2016-07-01

    Epilepsy is a common complex disorder most frequently associated with psychiatric and neurological diseases. Massive parallel sequencing of individual or cohort genomes and exomes led the identification of several disease associated genes. We review here the candidate genes in epilepsy genetics with focus on exome and gene panel data. Together with the examination of brain expressed genes and post synaptic proteome the results show that: (1) Non-metabolic epilepsies and autism candidate genes tend to be AT-rich and (2) large transcript size and local AT-richness are characteristic features of genes involved in developmental brain disorders and synaptic functions. These results point to the preferential location of core epilepsy and autism candidate genes in late replicating, GC-poor chromosomal regions (isochores). These results indicate that the genomic alterations leading to some brain disorders are confined to responsive chromatin areas harboring brain critical genes. PMID:26772991

  5. Network analysis of EtOH-related candidate genes.

    PubMed

    Guo, An-Yuan; Sun, Jingchun; Jia, Peilin; Zhao, Zhongming

    2010-05-01

    Recently, we collected many large-scale datasets for alcohol dependence and EtOH response in five organisms and deposited them in our EtOH-related gene resource database (ERGR, http://bioinfo.mc.vanderbilt.edu/ERGR/). Based on multidimensional evidence among these datasets, we prioritized 57 EtOH-related candidate genes. To explore their biological roles, and the molecular mechanisms of EtOH response and alcohol dependence, we examined the features of these genes by the Gene Ontology (GO) term-enrichment test and network/pathway analysis. Our analysis revealed that these candidate genes were highly enriched in alcohol dependence/alcoholism and highly expressed in brain or liver tissues. All the significantly enriched GO terms were related to neurotransmitter systems or EtOH metabolic processes. Using the Ingenuity Pathway Analysis system, we found that these genes were involved in networks of neurological disease, cardiovascular disease, inflammatory response, and small molecular metabolism. Many key genes in signaling pathways were in the central position of these networks. Furthermore, our protein-protein interaction (PPI) network analysis suggested some novel candidate genes which also had evidence in the ERGR database. This study demonstrated that our candidate gene selection is effective and our network/pathway analysis is useful for uncovering the molecular mechanisms of EtOH response and alcohol dependence. This approach can be applied to study the features of candidate genes of other complex traits/phenotypes. PMID:20491071

  6. Integrative Data Mining Highlights Candidate Genes for Monogenic Myopathies

    PubMed Central

    Neto, Osorio Abath; Tassy, Olivier; Biancalana, Valérie; Zanoteli, Edmar; Pourquié, Olivier; Laporte, Jocelyn

    2014-01-01

    Inherited myopathies are a heterogeneous group of disabling disorders with still barely understood pathological mechanisms. Around 40% of afflicted patients remain without a molecular diagnosis after exclusion of known genes. The advent of high-throughput sequencing has opened avenues to the discovery of new implicated genes, but a working list of prioritized candidate genes is necessary to deal with the complexity of analyzing large-scale sequencing data. Here we used an integrative data mining strategy to analyze the genetic network linked to myopathies, derive specific signatures for inherited myopathy and related disorders, and identify and rank candidate genes for these groups. Training sets of genes were selected after literature review and used in Manteia, a public web-based data mining system, to extract disease group signatures in the form of enriched descriptor terms, which include functional annotation, human and mouse phenotypes, as well as biological pathways and protein interactions. These specific signatures were then used as an input to mine and rank candidate genes, followed by filtration against skeletal muscle expression and association with known diseases. Signatures and identified candidate genes highlight both potential common pathological mechanisms and allelic disease groups. Recent discoveries of gene associations to diseases, like B3GALNT2, GMPPB and B3GNT1 to congenital muscular dystrophies, were prioritized in the ranked lists, suggesting a posteriori validation of our approach and predictions. We show an example of how the ranked lists can be used to help analyze high-throughput sequencing data to identify candidate genes, and highlight the best candidate genes matching genomic regions linked to myopathies without known causative genes. This strategy can be automatized to generate fresh candidate gene lists, which help cope with database annotation updates as new knowledge is incorporated. PMID:25353622

  7. Science review: Searching for gene candidates in acute lung injury

    PubMed Central

    Grigoryev, Dmitry N; Finigan, James H; Hassoun, Paul; Garcia, Joe GN

    2004-01-01

    Acute lung injury (ALI) is a complex and devastating illness, often occurring within the setting of sepsis, and carries an annual mortality rate of 30–50%. Although the genetic basis of ALI has not been fully established, an increasing body of evidence suggests that genetic predisposition contributes to disease susceptibility and severity. Significant difficulty exists, however, in defining the exact nature of these genetic factors, including large phenotypic variance, incomplete penetrance, complex gene–environment interactions, and strong potential for locus heterogeneity. We utilized the candidate gene approach and an ortholog gene database to provide relevant gene ontologies and insights into the genetic basis of ALI. We employed a Medline search of selected basic and clinical studies in the English literature and studies sponsored by the HopGene National Institutes of Health sponsored Program in Genomic Applications. Extensive gene expression profiling studies in animal models of ALI (rat, murine, canine), as well as in humans, were performed to identify potential candidate genes . We identified a number of candidate genes for ALI, with blood coagulation and inflammation gene ontologies being the most highly represented. The candidate gene approach coupled with extensive gene profiling and novel bioinformatics approaches is a valuable way to identify genes that are involved in ALI. PMID:15566614

  8. Unifying Candidate Gene and GWAS Approaches in Asthma

    PubMed Central

    Michel, Sven; Liang, Liming; Depner, Martin; Klopp, Norman; Ruether, Andreas; Kumar, Ashish; Schedel, Michaela; Vogelberg, Christian; von Mutius, Erika; von Berg, Andrea; Bufe, Albrecht; Rietschel, Ernst; Heinzmann, Andrea; Laub, Otto; Simma, Burkhard; Frischer, Thomas; Genuneit, Jon; Gut, Ivo G.; Schreiber, Stefan; Lathrop, Mark; Illig, Thomas; Kabesch, Michael

    2010-01-01

    The first genome wide association study (GWAS) for childhood asthma identified a novel major susceptibility locus on chromosome 17q21 harboring the ORMDL3 gene, but the role of previous asthma candidate genes was not specifically analyzed in this GWAS. We systematically identified 89 SNPs in 14 candidate genes previously associated with asthma in >3 independent study populations. We re-genotyped 39 SNPs in these genes not covered by GWAS performed in 703 asthmatics and 658 reference children. Genotyping data were compared to imputation data derived from Illumina HumanHap300 chip genotyping. Results were combined to analyze 566 SNPs covering all 14 candidate gene loci. Genotyped polymorphisms in ADAM33, GSTP1 and VDR showed effects with p-values <0.0035 (corrected for multiple testing). Combining genotyping and imputation, polymorphisms in DPP10, EDN1, IL12B, IL13, IL4, IL4R and TNF showed associations at a significance level between p = 0.05 and p = 0.0035. These data indicate that (a) GWAS coverage is insufficient for many asthma candidate genes, (b) imputation based on these data is reliable but incomplete, and (c) SNPs in three previously identified asthma candidate genes replicate in our GWAS population with significance after correction for multiple testing in 14 genes. PMID:21103062

  9. Improved human disease candidate gene prioritization using mouse phenotype

    PubMed Central

    Chen, Jing; Xu, Huan; Aronow, Bruce J; Jegga, Anil G

    2007-01-01

    Background The majority of common diseases are multi-factorial and modified by genetically and mechanistically complex polygenic interactions and environmental factors. High-throughput genome-wide studies like linkage analysis and gene expression profiling, tend to be most useful for classification and characterization but do not provide sufficient information to identify or prioritize specific disease causal genes. Results Extending on an earlier hypothesis that the majority of genes that impact or cause disease share membership in any of several functional relationships we, for the first time, show the utility of mouse phenotype data in human disease gene prioritization. We study the effect of different data integration methods, and based on the validation studies, we show that our approach, ToppGene , outperforms two of the existing candidate gene prioritization methods, SUSPECTS and ENDEAVOUR. Conclusion The incorporation of phenotype information for mouse orthologs of human genes greatly improves the human disease candidate gene analysis and prioritization. PMID:17939863

  10. A direct molecular link between the autism candidate gene RORa and the schizophrenia candidate MIR137

    NASA Astrophysics Data System (ADS)

    Devanna, Paolo; Vernes, Sonja C.

    2014-02-01

    Retinoic acid-related orphan receptor alpha gene (RORa) and the microRNA MIR137 have both recently been identified as novel candidate genes for neuropsychiatric disorders. RORa encodes a ligand-dependent orphan nuclear receptor that acts as a transcriptional regulator and miR-137 is a brain enriched small non-coding RNA that interacts with gene transcripts to control protein levels. Given the mounting evidence for RORa in autism spectrum disorders (ASD) and MIR137 in schizophrenia and ASD, we investigated if there was a functional biological relationship between these two genes. Herein, we demonstrate that miR-137 targets the 3'UTR of RORa in a site specific manner. We also provide further support for MIR137 as an autism candidate by showing that a large number of previously implicated autism genes are also putatively targeted by miR-137. This work supports the role of MIR137 as an ASD candidate and demonstrates a direct biological link between these previously unrelated autism candidate genes.

  11. Genetic influences on smoking: candidate genes.

    PubMed Central

    Rossing, M A

    1998-01-01

    Twin studies consistently indicate important genetic influences on multiple aspects of smoking behavior, including both initiation and cessation; however, knowledge regarding the role of specific genes is extremely limited. Habit-forming actions of nicotine appear to be triggered primarily at nicotinic receptors on the cell bodies of dopaminergic neurons in the mesolimbic "reward" system of the brain, a region implicated in addiction to other substances including cocaine, opiates, and alcohol. Important aspects of the dopaminergic pathway include synthesis of dopamine in dopaminergic neurons, release of dopamine by presynaptic neurons, receptor activation of postsynaptic neurons, dopamine re-uptake by presynaptic neurons, and metabolism of released dopamine. Research examining the role of allelic variation in genes involved in these functions is being actively pursued with respect to addictive behavior as well as personality traits and psycho- and neuropathologic conditions and has implications for smoking research. In addition, genetic differences in nicotinic receptors or nicotine metabolism might reasonably be hypothesized to play a role in smoking addiction. A role of dopaminergic or other genes in smoking cessation is of particular potential importance, as research in this area may lead to the identification of subgroups of individuals for whom pharmacologic cessation aids may be most effective. PMID:9647893

  12. Analysis of candidate genes for macular telangiectasia type 2

    PubMed Central

    Parmalee, Nancy L.; Schubert, Carl; Merriam, Joanna E.; Allikmets, Kaija; Bird, Alan C.; Gillies, Mark C.; Peto, Tunde; Figueroa, Maria; Friedlander, Martin; Fruttiger, Marcus; Greenwood, John; Moss, Stephen E.; Smith, Lois E.H.; Toomes, Carmel; Inglehearn, Chris F.

    2010-01-01

    Purpose To find the gene(s) responsible for macular telangiectasia type 2 (MacTel) by a candidate-gene screening approach. Methods Candidate genes were selected based on the following criteria: those known to cause or be associated with diseases with phenotypes similar to MacTel, genes with known function in the retinal vasculature or macular pigment transport, genes that emerged from expression microarray data from mouse models designed to mimic MacTel phenotype characteristics, and genes expressed in the retina that are also related to diabetes or hypertension, which have increased prevalence in MacTel patients. Probands from eight families with at least two affected individuals were screened by direct sequencing of 27 candidate genes. Identified nonsynonymous variants were analyzed to determine whether they co-segregate with the disease in families. Allele frequencies were determined by TaqMan analysis of the large MacTel and control cohorts. Results We identified 23 nonsynonymous variants in 27 candidate genes in at least one proband. Of these, eight were known single nucleotide polymorphisms (SNPs) with allele frequencies of >0.05; these variants were excluded from further analyses. Three previously unidentified missense variants, three missense variants with reported disease association, and five rare variants were analyzed for segregation and/or allele frequencies. No variant fulfilled the criteria of being causal for MacTel. A missense mutation, p.Pro33Ser in frizzled homolog (Drosophila) 4 (FZD4), previously suggested as a disease-causing variant in familial exudative vitreoretinopathy, was determined to be a rare benign polymorphism. Conclusions We have ruled out the exons and flanking intronic regions in 27 candidate genes as harboring causal mutations for MacTel. PMID:21179236

  13. Association of candidate genes with antisocial drug dependence in adolescents

    PubMed Central

    Corley, Robin P.; Zeiger, Joanna S.; Crowley, Thomas; Ehringer, Marissa A.; Hewitt, John K.; Hopfer, Christian J.; Lessem, Jeffrey; McQueen, Matthew B.; Rhee, Soo Hyun; Smolen, Andrew; Stallings, Michael C.; Young, Susan E.; Krauter, Kenneth

    2008-01-01

    The Colorado Center for Antisocial Drug Dependence (CADD) is using several research designs and strategies in its study of the genetic basis for antisocial drug dependence in adolescents. This study reports Single Nucleotide Polymorphism (SNP) association results from a Targeted Gene Assay (SNP chip) of 231 Caucasian male probands in treatment with antisocial drug dependence and a matched set of community controls. The SNP chip was designed to assay 1500 SNPs distributed across 50 candidate genes that have had associations with substance use disorders and conduct disorder. There was an average gene-wide inter-SNP interval of 3000 base pairs. After eliminating SNPs with poor signals and low minor allele frequencies, 60 nominally significant associations were found among the remaining 1073 SNPs in 18 of 49 candidate genes. Although none of the SNPs achieved genome-wide association significance levels (defined as p < .000001), two genes probed with multiple SNPs (OPRM1 and CHRNA2) emerged as plausible candidates for a role in antisocial drug dependence after gene-based permutation tests. The custom-designed SNP chip served as an effective and flexible platform for rapid interrogation of a large number of plausible candidate genes. PMID:18384978

  14. Screening of three Usher syndrome type II candidate genes

    SciTech Connect

    Bloemker, B.K.; Swaroop, A.; Kimberling, W.J.

    1994-09-01

    Usher syndrome type II (US2) is an autosomal recessive disorder that results in blindness due to retinitis pigmentosa and congenital hearing loss. The disease affects approximately 1 in 20,000 individuals in the general population and is responsible for over 50% of all cases of deafness with blindness. The underlying US2 defect is unknown. The US2 gene has been localized to the 1q41 region of chromosome 1 by linkage studies. Three genes previously localized to 1q were analyzed to assess their candidacy as the US2 gene. These were evaluated by PCR assays using DNA from a YAC contig spanning the US2 region on chromosome 1. The first gene evaluated was the human choroideremia-like gene (hCHML), which had been mapped to chromosome 1q. The sequence on 1q is a homologue of the human choroideremia gene on chromosome X. Choroideremia is a degenerative disorder causing ocular pathology similar to that observed in US2 patients. Therefore, hCHML is a candidate for the US2 gene. Two cDNAs (A and B) from an enriched human retinal pigment epithelium library have been mapped to 1q41 by in situ hybridization. Both cDNAs are considered good candidates. The hCHML and cDNA A were ruled out as candidates for the US2 gene based on negative results from PCR assays performed on YACs spanning the US2 region. cDNA B could not be ruled out as a candidate for the US2 gene by these assays. Answers to many clinical questions regarding US2 will only be resolved after the gene is identified and characterized. Eventually, understanding the function and expression of the US2 gene will provide a basis for the development of therapy.

  15. Structural and Functional Analysis of the Native Peripherin-ROM1 Complex Isolated from Photoreceptor Cells*

    PubMed Central

    Kevany, Brian M.; Tsybovsky, Yaroslav; Campuzano, Iain D. G.; Schnier, Paul D.; Engel, Andreas; Palczewski, Krzysztof

    2013-01-01

    Peripherin and its homologue ROM1 are retina-specific members of the tetraspanin family of integral membrane proteins required for morphogenesis and maintenance of photoreceptor outer segments, regions that collect light stimuli. Over 100 pathogenic mutations in peripherin cause inherited rod- and cone-related dystrophies in humans. Peripherin and ROM1 interact in vivo and are predicted to form a core heterotetrameric complex capable of creating higher order oligomers. However, structural analysis of tetraspanin proteins has been hampered by their resistance to crystallization. Here we present a simplified methodology for high yield purification of peripherin-ROM1 from bovine retinas that permitted its biochemical and biophysical characterization. Using size exclusion chromatography and blue native gel electrophoresis, we confirmed that the core native peripherin-ROM1 complex exists as a tetramer. Peripherin, but not ROM1, is glycosylated and we examined the glycosylation site and glycan composition of ROM1 by liquid chromatographic tandem mass spectrometry. Mass spectrometry was used to analyze the native complex in detergent micelles, demonstrating its tetrameric state. Our electron microscopy-generated structure solved to 18 Å displayed the tetramer as an elongated structure with an apparent 2-fold symmetry. Finally, we demonstrated that peripherin-ROM1 tetramers induce membrane curvature when reconstituted in lipid vesicles. These results provide critical insights into this key retinal component with a poorly defined function. PMID:24196967

  16. Candidate genes that affect aging through protein homeostasis.

    PubMed

    Argon, Yair; Gidalevitz, Tali

    2015-01-01

    Because aging is a multifactorial, pleiotropic process where many interacting mechanisms contribute to the organismal decline, the candidate gene approach rarely provides a clear message. This chapter discusses some of the inherent complexity, focusing on aspects that impinge upon protein homeostasis and maintain a healthy proteome. We discuss candidate genes that operate in these pathways, and compare their actions in invertebrates, mice and humans. We highlight several themes that emerge from recent research—the interconnections of pathways that regulate aging, the pleiotropic effects of mutations and other manipulations of the candidate proteins and the tissue specificity in these pleiotropic outcomes. This body of knowledge highlights the need for multiple specific readouts of manipulating longevity genes, beyond measuring lifespan, as well as the need to understand the integrated picture, beyond examining the immediate outputs of individual longevity pathways. PMID:25916585

  17. Oligonucleotide conjugates - Candidates for gene silencing therapeutics.

    PubMed

    Gooding, Matt; Malhotra, Meenakshi; Evans, James C; Darcy, Raphael; O'Driscoll, Caitriona M

    2016-10-01

    The potential therapeutic and diagnostic applications of oligonucleotides (ONs) have attracted great attention in recent years. The capability of ONs to selectively inhibit target genes through antisense and RNA interference mechanisms, without causing un-intended sideeffects has led them to be investigated for various biomedical applications, especially for the treatment of viral diseases and cancer. In recent years, many researchers have focused on enhancing the stability and target specificity of ONs by encapsulating/complexing them with polymers or lipid chains to formulate nanoparticles/nanocomplexes/micelles. Also, chemical modification of nucleic acids has emerged as an alternative to impart stability to ONs against nucleases and other degrading enzymes and proteins found in blood. In addition to chemically modifying the nucleic acids directly, another strategy that has emerged, involves conjugating polymers/peptide/aptamers/antibodies/proteins, preferably to the sense strand (3'end) of siRNAs. Conjugation to the siRNA not only enhances the stability and targeting specificity of the siRNA, but also allows for the development of self-administering siRNA formulations, with a much smaller size than what is usually observed for nanoparticle (∼200nm). This review concentrates mainly on approaches and studies involving ON-conjugates for biomedical applications. PMID:27521696

  18. Candidate genes for individual recognition in Polistes fuscatus paper wasps.

    PubMed

    Berens, A J; Tibbetts, E A; Toth, A L

    2016-02-01

    Few animals are known to individually recognize conspecifics, i.e. learn and recall unique individuals during subsequent encounters, and nearly all are social vertebrates. Remarkably, the social paper wasp Polistes fuscatus has recently been discovered to possess this ability, which is useful for remembering identities during competitive social interactions. We analyzed brain gene expression in staged encounters between pairs of individuals to explore potential mechanisms underlying wasps' ability to recall familiar individuals using real-time qRT-PCR. We identified four candidate genes (IP3K, IP3R, Nckx30C and Su(var)2-10) that were down-regulated in the presence of familiar individuals compared to single wasps and pairs of wasps meeting for the first time. These candidate genes are related to calcium signaling, therefore, we treated wasps with lithium chloride, a pharmacological agent that inhibits calcium signaling in neurons. This treatment decreased aggression in paper wasps, but did not affect expression of genes related to calcium signaling. The results suggest calcium signaling differences may be related to individual memory recall in wasps, and we present four promising candidate genes for future study. These data suggest genes associated with dominance behavior may be co-opted for individual recognition, but further work is needed to establish a causal association with the behavior. PMID:26660069

  19. Genetic regulation of cholesterol homeostasis: chromosomal organization of candidate genes.

    PubMed

    Welch, C L; Xia, Y R; Shechter, I; Farese, R; Mehrabian, M; Mehdizadeh, S; Warden, C H; Lusis, A J

    1996-07-01

    As part of an effort to dissect the genetic factors involved in cholesterol homeostasis in the mouse model, we report the mapping of 12 new candidate genes using linkage analysis. The genes include: cytoplasmic HMG-CoA synthase (Hmgcs 1, Chr 13), mitochondrial synthase (Hmgcs 2, Chr 3), a synthase-related sequence (Hmgcs 1-rs, Chr 12), mevalonate kinase (Mvk, Chr 5), farnesyl diphosphate synthase (Fdps, Chr 3), squalene synthase (Fdft 1, Chr 14), acyl-CoA:cholesterol acyltransferase (Acact, Chr 1), sterol regulatory element binding protein-1 (Srebf1, Chr 8) and -2 (Srebf2, Chr 15), apolipoprotein A-I regulatory protein (Tcfcoup2, Chr 7), low density receptor-related protein-related sequence (Lrp-rs, Chr 10), and Lrp-associated protein (Lrpap 1, Chr 5). In addition, the map positions for several lipoprotein receptor genes were refined. These genes include: low density lipoprotein receptor (Ldlr, Chr 9), very low density lipoprotein receptor (Vldlr, Chr 19), and glycoprotein 330 (Gp330, Chr 2). Some of these candidate genes are located within previously defined chromosomal regions (quantitative trait loci, QTLs) contributing to plasma lipoprotein levels, and Acact maps near a mouse mutation, ald, resulting in depletion of cholesteryl esters in the adrenals. The combined use of QTL and candidate gene mapping provides a powerful means of dissecting complex traits such as cholesterol homeostasis. PMID:8827514

  20. Genomic loci and candidate genes underlying inflammatory nociception

    PubMed Central

    Nair, Harsha K.; Hain, Heather; Quock, Raymond M.; Philip, Vivek M.; Chesler, Elissa J.; Belknap, John K.; Lariviere, William R.

    2011-01-01

    Heritable genetic factors contribute significantly to inflammatory nociception. To determine candidate genes underlying inflammatory nociception, the current study used a mouse model of abdominal inflammatory pain. BXD recombinant inbred (RI) mouse strains were administered the intraperitoneal (IP) acetic acid test and genome-wide quantitative trait locus (QTL) mapping was performed on the mean number of abdominal contraction and extension movements in three distinct groups of BXD RI mouse strains in two separate experiments. Combined mapping results detected two QTLs on chromosomes (Chr) 3 and 10 across experiments and groups of mice; an additional sex-specific QTL was detected on Chr 16. The results replicate previous findings of a significant QTL, Nociq2, on distal Chr 10 for formalin-induced inflammatory nociception and will aid in identification of the underlying candidate genes. Comparisons of sensitivity to IP acetic acid in BXD RI mouse strains with microarray mRNA transcript expression profiles in specific brain areas detected covarying expression of candidate genes that are also found in the detected QTL confidence intervals. The results indicate that common and distinct genetic mechanisms underlie heritable sensitivity to diverse inflammatory insults, and provide a discrete set of high priority candidate genes to investigate further in rodents and human association studies. PMID:21195549

  1. Candidate Gene Analysis in Israeli Soldiers With Stress Fractures

    PubMed Central

    Yanovich, Ran; Friedman, Eitan; Milgrom, Roni; Oberman, Bernice; Freedman, Laurence; Moran, Daniel S.

    2012-01-01

    To investigate the association of polymorphisms within candidate genes which we hypothesized may contribute to stress fracture predisposition, a case-control, cross- sectional study design was employed. Genotyping 268 Single Nucleotide Polymorphisms- SNPs within 17 genes in 385 Israeli young male and female recruits (182 with and 203 without stress fractures). Twenty-five polymorphisms within 9 genes (NR3C1, ANKH, VDR, ROR2, CALCR, IL6, COL1A2, CBG, and LRP4) showed statistically significant differences (p < 0.05) in the distribution between stress fracture cases and non stress fracture controls. Seventeen genetic variants were associated with an increased stress fracture risk, and eight variants with a decreased stress fracture risk. None of the SNP associations remained significant after correcting for multiple comparisons (false discovery rate- FDR). Our findings suggest that genes may be involved in stress fracture pathogenesis. Specifically, the CALCR and the VDR genes are intriguing candidates. The putative involvement of these genes in stress fracture predisposition requires analysis of more cases and controls and sequencing the relevant genomic regions, in order to define the specific gene mutations. Key pointsUnderstanding the possible contribution of genetic variants to stress fracture pathogenesis.There is a paucity of data on the involvement of polymorphisms in specific genes in active military personnel/athletes which may contribute to stress fractures development.The results from the current study should facilitate a more comprehensive look at the genetic component of stress fractures. PMID:24149131

  2. Candidate genes for COPD: current evidence and research

    PubMed Central

    Kim, Woo Jin; Lee, Sang Do

    2015-01-01

    COPD is a common complex disease characterized by progressive airflow limitation. Several genome-wide association studies (GWASs) have discovered genes that are associated with COPD. Recently, candidate genes for COPD identified by GWASs include CHRNA3/5 (cholinergic nicotine receptor alpha 3/5), IREB2 (iron regulatory binding protein 2), HHIP (hedgehog-interacting protein), FAM13A (family with sequence similarity 13, member A), and AGER (advanced glycosylation end product–specific receptor). Their association with COPD susceptibility has been replicated in multiple populations. Since these candidate genes have not been considered in COPD, their pathological roles are still largely unknown. Herein, we review some evidences that they can be effective drug targets or serve as biomarkers for diagnosis or subtyping. However, more study is required to understand the functional roles of these candidate genes. Future research is needed to characterize the effect of genetic variants, validate gene function in humans and model systems, and elucidate the genes’ transcriptional and posttranscriptional regulatory mechanisms. PMID:26527870

  3. The cavefish genome reveals candidate genes for eye loss.

    PubMed

    McGaugh, Suzanne E; Gross, Joshua B; Aken, Bronwen; Blin, Maryline; Borowsky, Richard; Chalopin, Domitille; Hinaux, Hélène; Jeffery, William R; Keene, Alex; Ma, Li; Minx, Patrick; Murphy, Daniel; O'Quin, Kelly E; Rétaux, Sylvie; Rohner, Nicolas; Searle, Steve M J; Stahl, Bethany A; Tabin, Cliff; Volff, Jean-Nicolas; Yoshizawa, Masato; Warren, Wesley C

    2014-01-01

    Natural populations subjected to strong environmental selection pressures offer a window into the genetic underpinnings of evolutionary change. Cavefish populations, Astyanax mexicanus (Teleostei: Characiphysi), exhibit repeated, independent evolution for a variety of traits including eye degeneration, pigment loss, increased size and number of taste buds and mechanosensory organs, and shifts in many behavioural traits. Surface and cave forms are interfertile making this system amenable to genetic interrogation; however, lack of a reference genome has hampered efforts to identify genes responsible for changes in cave forms of A. mexicanus. Here we present the first de novo genome assembly for Astyanax mexicanus cavefish, contrast repeat elements to other teleost genomes, identify candidate genes underlying quantitative trait loci (QTL), and assay these candidate genes for potential functional and expression differences. We expect the cavefish genome to advance understanding of the evolutionary process, as well as, analogous human disease including retinal dysfunction. PMID:25329095

  4. The cavefish genome reveals candidate genes for eye loss

    PubMed Central

    McGaugh, Suzanne E.; Gross, Joshua B.; Aken, Bronwen; Blin, Maryline; Borowsky, Richard; Chalopin, Domitille; Hinaux, Hélène; Jeffery, William R.; Keene, Alex; Ma, Li; Minx, Patrick; Murphy, Daniel; O’Quin, Kelly E.; Rétaux, Sylvie; Rohner, Nicolas; Searle, Steve M. J.; Stahl, Bethany A.; Tabin, Cliff; Volff, Jean-Nicolas; Yoshizawa, Masato; Warren, Wesley C.

    2014-01-01

    Natural populations subjected to strong environmental selection pressures offer a window into the genetic underpinnings of evolutionary change. Cavefish populations, Astyanax mexicanus (Teleostei: Characiphysi), exhibit repeated, independent evolution for a variety of traits including eye degeneration, pigment loss, increased size and number of taste buds and mechanosensory organs, and shifts in many behavioural traits. Surface and cave forms are interfertile making this system amenable to genetic interrogation; however, lack of a reference genome has hampered efforts to identify genes responsible for changes in cave forms of A. mexicanus. Here we present the first de novo genome assembly for Astyanax mexicanus cavefish, contrast repeat elements to other teleost genomes, identify candidate genes underlying quantitative trait loci (QTL), and assay these candidate genes for potential functional and expression differences. We expect the cavefish genome to advance understanding of the evolutionary process, as well as, analogous human disease including retinal dysfunction. PMID:25329095

  5. Candidate genes for hypertension: insights from the Dahl S rat.

    PubMed

    Rudemiller, Nathan P; Mattson, David L

    2015-12-15

    Human genetic linkage and association studies have nominated many genes as possible contributors to disease. Mutating or deleting these genes in a relevant disease model can validate their association with disease and potentially uncover novel mechanisms of pathogenesis. Targeted genetic mutagenesis has only recently been developed in the rat, and this technique has been applied in the Dahl salt-sensitive (S) rat to investigate human candidate genes associated with hypertension. This mini-review communicates the findings of these studies and displays how targeted genetic mutagenesis may contribute to the discovery of novel therapies for patients. PMID:25877508

  6. Reranking candidate gene models with cross-species comparison for improved gene prediction

    PubMed Central

    Liu, Qian; Crammer, Koby; Pereira, Fernando CN; Roos, David S

    2008-01-01

    Background Most gene finders score candidate gene models with state-based methods, typically HMMs, by combining local properties (coding potential, splice donor and acceptor patterns, etc). Competing models with similar state-based scores may be distinguishable with additional information. In particular, functional and comparative genomics datasets may help to select among competing models of comparable probability by exploiting features likely to be associated with the correct gene models, such as conserved exon/intron structure or protein sequence features. Results We have investigated the utility of a simple post-processing step for selecting among a set of alternative gene models, using global scoring rules to rerank competing models for more accurate prediction. For each gene locus, we first generate the K best candidate gene models using the gene finder Evigan, and then rerank these models using comparisons with putative orthologous genes from closely-related species. Candidate gene models with lower scores in the original gene finder may be selected if they exhibit strong similarity to probable orthologs in coding sequence, splice site location, or signal peptide occurrence. Experiments on Drosophila melanogaster demonstrate that reranking based on cross-species comparison outperforms the best gene models identified by Evigan alone, and also outperforms the comparative gene finders GeneWise and Augustus+. Conclusion Reranking gene models with cross-species comparison improves gene prediction accuracy. This straightforward method can be readily adapted to incorporate additional lines of evidence, as it requires only a ranked source of candidate gene models. PMID:18854050

  7. Candidate Chemosensory Genes in the Stemborer Sesamia nonagrioides

    PubMed Central

    Glaser, Nicolas; Gallot, Aurore; Legeai, Fabrice; Montagné, Nicolas; Poivet, Erwan; Harry, Myriam; Calatayud, Paul-André; Jacquin-Joly, Emmanuelle

    2013-01-01

    The stemborer Sesamia nonagrioides is an important pest of maize in the Mediterranean Basin. Like other moths, this noctuid uses its chemosensory system to efficiently interact with its environment. However, very little is known on the molecular mechanisms that underlie chemosensation in this species. Here, we used next-generation sequencing (454 and Illumina) on different tissues from adult and larvae, including chemosensory organs and female ovipositors, to describe the chemosensory transcriptome of S. nonagrioides and identify key molecular components of the pheromone production and detection systems. We identified a total of 68 candidate chemosensory genes in this species, including 31 candidate binding-proteins and 23 chemosensory receptors. In particular, we retrieved the three co-receptors Orco, IR25a and IR8a necessary for chemosensory receptor functioning. Focusing on the pheromonal communication system, we identified a new pheromone-binding protein in this species, four candidate pheromone receptors and 12 carboxylesterases as candidate acetate degrading enzymes. In addition, we identified enzymes putatively involved in S. nonagrioides pheromone biosynthesis, including a ∆11-desaturase and different acetyltransferases and reductases. RNAseq analyses and RT-PCR were combined to profile gene expression in different tissues. This study constitutes the first large scale description of chemosensory genes in S. nonagrioides. PMID:23781142

  8. Generating Genome-Scale Candidate Gene Lists for Pharmacogenomics

    PubMed Central

    Hansen, NT; Brunak, S; Altman, RB

    2009-01-01

    A critical task in pharmacogenomics is identifying genes that may be important modulators of drug response. High-throughput experimental methods are often plagued by false positives and do not take advantage of existing knowledge. Candidate gene lists can usefully summarize existing knowledge, but they are expensive to generate manually and may therefore have incomplete coverage. We have developed a method that ranks 12,460 genes in the human genome on the basis of their potential relevance to a specific query drug and its putative indications. Our method uses known gene–drug interactions, networks of gene–gene interactions, and available measures of drug–drug similarity. It ranks genes by building a local network of known interactions and assessing the similarity of the query drug (by both structure and indication) with drugs that interact with gene products in the local network. In a comprehensive benchmark, our method achieves an overall area under the curve of 0.82. To showcase our method, we found novel gene candidates for warfarin, gefitinib, carboplatin, and gemcitabine, and we provide the molecular hypotheses for these predictions. PMID:19369935

  9. Mouse chromosome 17 candidate modifier genes for thrombosis

    PubMed Central

    Sa, Qila; Hart, Erika; Nadeau, Joseph H.

    2010-01-01

    Two overlapping quantitative trait loci (QTLs) for clot stability, Hmtb8 and Hmtb9, were identified on mouse chromosome 17 in an F2 intercross derived from C57BL/6J (B6) and B6-Chr17A/J (B6-Chr17) mouse strains. The intervals were in synteny with a QTL for thrombotic susceptibility on chromosome 18 in a human study, and there were 23 homologs between mouse and human. The objective of this study was to determine whether any of these genes in the syntenic region are likely candidates as modifiers for clot stability. Seven genes, Twsg1, Zfp161, Dlgap1, Ralbp1, Myom1, Rab31, and Emilin2, of the 23 genes with single nucleotide polymorphisms (SNPs) in the mRNA-UTR had differential expression in B6 and A/J mice. Dlgap1, Ralbp1, Myom1, and Emilin2 also had nonsynonymous SNPs. In addition, two other genes had nonsynonymous SNPs, Lama1 and Ndc80. Of these nine candidate genes, Emilin2 was selected for further analysis since other EMILIN (Elastin Microfibril Interface Located Protein) proteins have known functions in vascular structure and coagulation. Differences were found between B6 and A/J mice in vessel wall architecture and EMILIN2 protein in plasma, carotid vessel wall, and thrombi formed after ferric chloride injury. In B6-Chr17A/J mice both clot stability and Emilin2 mRNA expression were higher compared to those in B6 and A/J mice, suggesting the exposure of epistatic interactions. Although other homologous genes in the QTL region cannot be ruled out as causative genes, further investigation of Emilin2 as a candidate gene for thrombosis susceptibility is warranted. Electronic supplementary material The online version of this article (doi:10.1007/s00335-010-9274-6) contains supplementary material, which is available to authorized users. PMID:20700597

  10. Candidate genes of idiopathic pulmonary fibrosis: current evidence and research

    PubMed Central

    Zhou, Wei; Wang, Yaping

    2016-01-01

    Idiopathic pulmonary fibrosis (IPF) is a group of common and lethal forms of idiopathic interstitial pulmonary disease. IPF is characterized by a progressive decline in lung function with a median survival of 2–3 years after diagnosis. Although the pathogenesis of the disease remains unknown, genetic predisposition could play a causal role in IPF. A set of genes have been identified as candidate genes of IPF in the past 20 years. However, the recent technological advances that allow for the analysis of millions of polymorphisms in different subjects have deepened the understanding of the genetic complexity of IPF susceptibility. Genome-wide association studies and whole-genome sequencing continue to reveal the genetic loci associated with IPF risk. In this review, we describe candidate genes on the basis of their functions and aim to gain a better understanding of the genetic basis of IPF. The discovered candidate genes may help to clarify pivotal aspects in the diagnosis, prognosis, and therapies of IPF. PMID:26893575

  11. Candidate gene polymorphisms for behavioural adaptations during urbanization in blackbirds.

    PubMed

    Mueller, J C; Partecke, J; Hatchwell, B J; Gaston, K J; Evans, K L

    2013-07-01

    Successful urban colonization by formerly rural species represents an ideal situation in which to study adaptation to novel environments. We address this issue using candidate genes for behavioural traits that are expected to play a role in such colonization events. We identified and genotyped 16 polymorphisms in candidate genes for circadian rhythms, harm avoidance and migratory and exploratory behaviour in 12 paired urban and rural populations of the blackbird Turdus merula across the Western Palaearctic. An exonic microsatellite in the SERT gene, a candidate gene for harm avoidance behaviour, exhibited a highly significant association with habitat type in an analysis conducted across all populations. Genetic divergence at this locus was consistent in 10 of the 12 population pairs; this contrasts with previously reported stochastic genetic divergence between these populations at random markers. Our results indicate that behavioural traits related to harm avoidance and associated with the SERT polymorphism experience selection pressures during most blackbird urbanization events. These events thus appear to be influenced by homogeneous adaptive processes in addition to previously reported demographic founder events. PMID:23495914

  12. Congenital diaphragmatic hernia candidate genes derived from embryonic transcriptomes

    PubMed Central

    Russell, Meaghan K.; Longoni, Mauro; Wells, Julie; Maalouf, Faouzi I.; Tracy, Adam A.; Loscertales, Maria; Ackerman, Kate G.; Pober, Barbara R.; Lage, Kasper; Bult, Carol J.; Donahoe, Patricia K.

    2012-01-01

    Congenital diaphragmatic hernia (CDH) is a common (1 in 3,000 live births) major congenital malformation that results in significant morbidity and mortality. The discovery of CDH loci using standard genetic approaches has been hindered by its genetic heterogeneity. We hypothesized that gene expression profiling of developing embryonic diaphragms would help identify genes likely to be associated with diaphragm defects. We generated a time series of whole-transcriptome expression profiles from laser captured embryonic mouse diaphragms at embryonic day (E)11.5 and E12.5 when experimental perturbations lead to CDH phenotypes, and E16.5 when the diaphragm is fully formed. Gene sets defining biologically relevant pathways and temporal expression trends were identified by using a series of bioinformatic algorithms. These developmental sets were then compared with a manually curated list of genes previously shown to cause diaphragm defects in humans and in mouse models. Our integrative filtering strategy identified 27 candidates for CDH. We examined the diaphragms of knockout mice for one of the candidate genes, pre–B-cell leukemia transcription factor 1 (Pbx1), and identified a range of previously undetected diaphragmatic defects. Our study demonstrates the utility of genetic characterization of normal development as an integral part of a disease gene identification and prioritization strategy for CDH, an approach that can be extended to other diseases and developmental anomalies. PMID:22315423

  13. Testing candidate genes that may affect susceptibility to leprosy.

    PubMed

    Cervino, A C; Curnow, R N

    1997-12-01

    Several statistical methods have been used to search familial data sets for marker alleles associated with the occurrence of a disease. In the present paper, a recently developed method is used to re-analyze published data on leprosy and candidate genes at the HLA loci. This new method of analysis, the randomization transmission disequilibrium test (TDT), confirmed previous conclusions that there was no significant evidence against random transmission at the HLA-A locus but significant positive association with the HLA-DR2 allele. The randomization TDT detected significant protective associations, that had not previously been found, with alleles HLA-B8 in Egyptian families and HLA-B21 (current nomenclature B x 4901, 5001-5002) in South Indian families, highlighting a major advantage of permutation tests in analyzing candidate gene loci with rare alleles. These findings provide evidence that HLA class I restricted T lymphocytes may be of protective importance in leprosy. PMID:9465154

  14. Genetics of osteoporosis: searching for candidate genes for bone fragility.

    PubMed

    Rocha-Braz, Manuela G M; Ferraz-de-Souza, Bruno

    2016-08-01

    The pathogenesis of osteoporosis, a common disease with great morbidity and mortality, comprises environmental and genetic factors. As with other complex disorders, the genetic basis of osteoporosis has been difficult to identify. Nevertheless, several approaches have been undertaken in the past decades in order to identify candidate genes for bone fragility, including the study of rare monogenic syndromes with striking bone phenotypes (e.g. osteogenesis imperfecta and osteopetroses), the analysis of individuals or families with extreme osteoporotic phenotypes (e.g. idiopathic juvenile and pregnancy-related osteoporosis), and, chiefly, genome-wide association studies (GWAS) in large populations. Altogether, these efforts have greatly increased the understanding of molecular mechanisms behind bone remodelling, which has rapidly translated into the development of novel therapeutic strategies, exemplified by the tales of cathepsin K (CTSK) and sclerostin (SOST). Additional biological evidence of involvement in bone physiology still lacks for several candidate genes arisen from GWAS, opening an opportunity for the discovery of new mechanisms regulating bone strength, particularly with the advent of high-throughput genomic technologies. In this review, candidate genes for bone fragility will be presented in comprehensive tables and discussed with regard to how their association with osteoporosis emerged, highlighting key players such as LRP5, WNT1 and PLS3. Current limitations in our understanding of the genetic contribution to osteoporosis, such as yet unidentified genetic modifiers, may be overcome in the near future with better genotypic and phenotypic characterisation of large populations and the detailed study of candidate genes in informative individuals with marked phenotype. PMID:27533615

  15. The Genetics of Reading Disabilities: From Phenotypes to Candidate Genes

    PubMed Central

    Raskind, Wendy H.; Peter, Beate; Richards, Todd; Eckert, Mark M.; Berninger, Virginia W.

    2013-01-01

    This article provides an overview of (a) issues in definition and diagnosis of specific reading disabilities at the behavioral level that may occur in different constellations of developmental and phenotypic profiles (patterns); (b) rapidly expanding research on genetic heterogeneity and gene candidates for dyslexia and other reading disabilities; (c) emerging research on gene-brain relationships; and (d) current understanding of epigenetic mechanisms whereby environmental events may alter behavioral expression of genetic variations. A glossary of genetic terms (denoted by bold font) is provided for readers not familiar with the technical terms. PMID:23308072

  16. The KCNE genes in hypertrophic cardiomyopathy: a candidate gene study

    PubMed Central

    2011-01-01

    Background The gene family KCNE1-5, which encode modulating β-subunits of several repolarising K+-ion channels, has been associated with genetic cardiac diseases such as long QT syndrome, atrial fibrillation and Brugada syndrome. The minK peptide, encoded by KCNE1, is attached to the Z-disc of the sarcomere as well as the T-tubules of the sarcolemma. It has been suggested that minK forms part of an "electro-mechanical feed-back" which links cardiomyocyte stretching to changes in ion channel function. We examined whether mutations in KCNE genes were associated with hypertrophic cardiomyopathy (HCM), a genetic disease associated with an improper hypertrophic response. Results The coding regions of KCNE1, KCNE2, KCNE3, KCNE4, and KCNE5 were examined, by direct DNA sequencing, in a cohort of 93 unrelated HCM probands and 188 blood donor controls. Fifteen genetic variants, four previously unknown, were identified in the HCM probands. Eight variants were non-synonymous and one was located in the 3'UTR-region of KCNE4. No disease-causing mutations were found and no significant difference in the frequency of genetic variants was found between HCM probands and controls. Two variants of likely functional significance were found in controls only. Conclusions Mutations in KCNE genes are not a common cause of HCM and polymorphisms in these genes do not seem to be associated with a propensity to develop arrhythmia PMID:21967835

  17. Annual Killifish Transcriptomics and Candidate Genes for Metazoan Diapause.

    PubMed

    Thompson, Andrew W; Ortí, Guillermo

    2016-09-01

    Dormancy has evolved in all major metazoan lineages. It is critical for survival when environmental stresses are not conducive to growth, maturation, or reproduction. Embryonic diapause is a form of dormancy where development is reversibly delayed and metabolism is depressed. We report the diapause transcriptome of the annual killifish Nematolebias whitei, and compare gene expression between diapause embryos and free-living larvae to identify a candidate set of 945 differentially expressed "diapause" genes for this species. Similarity of transcriptional patterns among N. whitei and other diapausing animals is striking for a small set of genes associated with stress resistance, circadian rhythm, and metabolism, while other genes show discordant patterns. Although convergent evolution of diapause may require shared molecular mechanisms for fundamental processes, similar physiological phenotypes also may arise through modification of alternative pathways. Annual killifishes are a tractable model system for comparative transcriptomic studies on the evolution of diapause. PMID:27297470

  18. [Candidate gene analysis of high quality merino sheep].

    PubMed

    Liu, Gui-Fen; Tian, Ke-Chuan; Zhang, En-Ping; Huang, Xi-Xia; Zhang, Yan-Hua

    2007-01-01

    Partial sequences of wool fiber constituent genes KAP1.1 and KAP1.3 and the exonic sequence of the KAP6.1 gene were chosen for polymerase chain reaction-single strand conformation polymorphism (PCR-SSCP) analysis to assess their ability as candidate genes during indirect selection for fine wool traits. Results show that locus W08667 in the genes (KAP1.1, KAP1.3) which code the high sulfur protein associated-protein of keratin associated-protein family is significantly correlated with fine wool quality (P < 0.05). Among the high-glycine-tyrosine keratin associated- protein, the AA and BB genotypes of W06933 are also significantly correlated with fine wool quality (P < 0.05). PMID:17284427

  19. Candidate Gene Association Mapping of Arabidopsis Flowering Time

    PubMed Central

    Ehrenreich, Ian M.; Hanzawa, Yoshie; Chou, Lucy; Roe, Judith L.; Kover, Paula X.; Purugganan, Michael D.

    2009-01-01

    The pathways responsible for flowering time in Arabidopsis thaliana comprise one of the best characterized genetic networks in plants. We harness this extensive molecular genetic knowledge to identify potential flowering time quantitative trait genes (QTGs) through candidate gene association mapping using 51 flowering time loci. We genotyped common single nucleotide polymorphisms (SNPs) at these genes in 275 A. thaliana accessions that were also phenotyped for flowering time and rosette leaf number in long and short days. Using structured association techniques, we find that haplotype-tagging SNPs in 27 flowering time genes show significant associations in various trait/environment combinations. After correction for multiple testing, between 2 and 10 genes remain significantly associated with flowering time, with CO arguably possessing the most promising associations. We also genotyped a subset of these flowering time gene SNPs in an independent recombinant inbred line population derived from the intercrossing of 19 accessions. Approximately one-third of significant polymorphisms that were associated with flowering time in the accessions and genotyped in the outbred population were replicated in both mapping populations, including SNPs at the CO, FLC, VIN3, PHYD, and GA1 loci, and coding region deletions at the FRI gene. We conservatively estimate that ∼4–14% of known flowering time genes may harbor common alleles that contribute to natural variation in this life history trait. PMID:19581446

  20. Characterizations of 9p21 candidate genes in familial melanoma

    SciTech Connect

    Walker, G.J.; Flores, J.F.; Glendening, J.M.

    1994-09-01

    We have previously collected and characterized 16 melanoma families for the inheritance of a familial melanoma predisposition gene on 9p21. Clear evidence for genetic linkage has been detected in 8 of these families with the 9p21 markers D9S126 and 1FNA, while linkage of the remaining families to this region is less certain. A candidate for the 9p21 familial melanoma gene, the cyclin kinase inhibitor gene p16 (also known as the multiple tumor suppressor 1 (MTS1) gene), has been recently indentified. Notably, a nonsense mutation within the p16 gene has been detected in the lymphoblastoid cell line DNA from a dysplastic nevus syndrome (DNS), or familial melanoma, patient. The p16 gene is also known to be frequently deleted or mutated in a variety of tumor cell lines (including melanoma) and resides within a region that has been defined as harboring the 9p21 melanoma predisposition locus. This region is delineated on the distal side by the marker D9S736 (which resides just distal to the p16 gene) and extends in a proximal direction to the marker D9S171. Overall, the entire distance between these two loci is estimated at 3-5Mb. Preliminary analysis of our two largest 9p21-linked melanoma kindreds (by direct sequencing of PCR products) has not yet revealed mutations within the coding region of the p16 gene. Others have reported that 8/11 unrelated 9p21-linked melanoma families do not appear to carry p16 mutations; thus the possibility exists that p16 is not a melanoma susceptibility gene per se, although it appears to play some role in melanoma tumor progression. Our melanoma kindred DNAs are currently being analyzed by SSCP using primers that amplify exons of other candidate genes from the 9p21 region implicated in familial melanoma. These novel genes reside within a distinct critical region of homozygous loss in melanoma which is located >2 Mb from the p16 gene on 9p21.

  1. Sleeping Beauty Mouse Models Identify Candidate Genes Involved in Gliomagenesis

    PubMed Central

    Vyazunova, Irina; Maklakova, Vilena I.; Berman, Samuel; De, Ishani; Steffen, Megan D.; Hong, Won; Lincoln, Hayley; Morrissy, A. Sorana; Taylor, Michael D.; Akagi, Keiko; Brennan, Cameron W.; Rodriguez, Fausto J.; Collier, Lara S.

    2014-01-01

    Genomic studies of human high-grade gliomas have discovered known and candidate tumor drivers. Studies in both cell culture and mouse models have complemented these approaches and have identified additional genes and processes important for gliomagenesis. Previously, we found that mobilization of Sleeping Beauty transposons in mice ubiquitously throughout the body from the Rosa26 locus led to gliomagenesis with low penetrance. Here we report the characterization of mice in which transposons are mobilized in the Glial Fibrillary Acidic Protein (GFAP) compartment. Glioma formation in these mice did not occur on an otherwise wild-type genetic background, but rare gliomas were observed when mobilization occurred in a p19Arf heterozygous background. Through cloning insertions from additional gliomas generated by transposon mobilization in the Rosa26 compartment, several candidate glioma genes were identified. Comparisons to genetic, epigenetic and mRNA expression data from human gliomas implicates several of these genes as tumor suppressor genes and oncogenes in human glioblastoma. PMID:25423036

  2. Association Study of 182 Candidate Genes in Anorexia Nervosa

    PubMed Central

    Pinheiro, Andrea Poyastro; Bulik, Cynthia M.; Thornton, Laura M.; Sullivan, Patrick F.; Root, Tammy L.; Bloss, Cinnamon S.; Berrettini, Wade H.; Schork, Nicholas J.; Kaye, Walter H.; Bergen, Andrew W.; Magistretti, Pierre; Brandt, Harry; Crawford, Steve; Crow, Scott; Fichter, Manfred M.; Goldman, David; Halmi, Katherine A.; Johnson, Craig; Kaplan, Allan S.; Keel, Pamela K.; Klump, Kelly L.; La Via, Maria; Mitchell, James E.; Strober, Michael; Rotondo, Alessandro; Treasure, Janet; Woodside, D. Blake

    2010-01-01

    We performed association studies with 5,151 SNPs that were judged as likely candidate genetic variations conferring susceptibility to anorexia nervosa (AN) based on location under reported linkage peaks, previous results in the literature (182 candidate genes), brain expression, biological plausibility, and estrogen responsivity. We employed a case–control design that tested each SNP individually as well as haplotypes derived from these SNPs in 1,085 case individuals with AN diagnoses and 677 control individuals. We also performed separate association analyses using three increasingly restrictive case definitions for AN: all individuals with any subtype of AN (All AN: n = 1,085); individuals with AN with no binge eating behavior (AN with No Binge Eating: n = 687); and individuals with the restricting subtype of AN (Restricting AN: n = 421). After accounting for multiple comparisons, there were no statistically significant associations for any individual SNP or haplotype block with any definition of illness. These results underscore the importance of large samples to yield appropriate power to detect genotypic differences in individuals with AN and also motivate complementary approaches involving Genome-Wide Association (GWA) studies, Copy Number Variation (CNV) analyses, sequencing-based rare variant discovery assays, and pathway-based analysis in order to make up for deficiencies in traditional candidate gene approaches to AN. PMID:20468064

  3. Candidate genes for nicotine dependence via linkage, epistasis, and bioinformatics.

    PubMed

    Sullivan, Patrick F; Neale, Benjamin M; van den Oord, Edwin; Miles, Michael F; Neale, Michael C; Bulik, Cynthia M; Joyce, Peter R; Straub, Richard E; Kendler, Kenneth S

    2004-04-01

    Many smoking-related phenotypes are substantially heritable. One genome scan of nicotine dependence (ND) has been published and several others are in progress and should be completed in the next 5 years. The goal of this hypothesis-generating study was two-fold. First, we present further analyses of our genome scan data for ND published by Straub et al. [1999: Mol Psychiatry 4:129-144] (PMID: 10208445). Second, we used the method described by Cox et al. [1999: Nat Genet 21:213-215] (PMID: 9988276) to search for epistatic loci across the markers used in the genome scan. The overall results of the genome scan nearly reached the rigorous Lander and Kruglyak [1995: Nat Genet 11:241-247] criteria for "significant" linkage with the best findings on chromosomes 10 and 2. We then looked for correspondence between genes located in the 10 regions implicated in affected sibling pair (ASP) and epistatic linkage analyses with a list of genes suggested by microarray studies of experimental nicotine exposure and candidate genes from the literature. We found correspondence between linkage and microarray/candidate gene studies for genes involved with the mitogen-activated protein kinase (MAPK) signaling system, nuclear factor kappa B (NFKB) complex, neuropeptide Y (NPY) neurotransmission, a nicotinic receptor subunit (CHRNA2), the vesicular monoamine transporter (SLC18A2), genes in pathways implicated in human anxiety (HTR7, TDO2, and the endozepine-related protein precursor, DKFZP434A2417), and the micro 1-opioid receptor (OPRM1). Although the hypotheses resulting from these linkage and bioinformatic analyses are plausible and intriguing, their ultimate worth depends on replication in additional linkage samples and in future experimental studies. PMID:15048644

  4. Adaptations to Climate in Candidate Genes for Common Metabolic Disorders

    PubMed Central

    Hancock, Angela M; Witonsky, David B; Gordon, Adam S; Eshel, Gidon; Pritchard, Jonathan K; Coop, Graham; Di Rienzo, Anna

    2008-01-01

    Evolutionary pressures due to variation in climate play an important role in shaping phenotypic variation among and within species and have been shown to influence variation in phenotypes such as body shape and size among humans. Genes involved in energy metabolism are likely to be central to heat and cold tolerance. To test the hypothesis that climate shaped variation in metabolism genes in humans, we used a bioinformatics approach based on network theory to select 82 candidate genes for common metabolic disorders. We genotyped 873 tag SNPs in these genes in 54 worldwide populations (including the 52 in the Human Genome Diversity Project panel) and found correlations with climate variables using rank correlation analysis and a newly developed method termed Bayesian geographic analysis. In addition, we genotyped 210 carefully matched control SNPs to provide an empirical null distribution for spatial patterns of allele frequency due to population history alone. For nearly all climate variables, we found an excess of genic SNPs in the tail of the distributions of the test statistics compared to the control SNPs, implying that metabolic genes as a group show signals of spatially varying selection. Among our strongest signals were several SNPs (e.g., LEPR R109K, FABP2 A54T) that had previously been associated with phenotypes directly related to cold tolerance. Since variation in climate may be correlated with other aspects of environmental variation, it is possible that some of the signals that we detected reflect selective pressures other than climate. Nevertheless, our results are consistent with the idea that climate has been an important selective pressure acting on candidate genes for common metabolic disorders. PMID:18282109

  5. Walking on multiple disease-gene networks to prioritize candidate genes.

    PubMed

    Jiang, Rui

    2015-06-01

    Uncovering causal genes for human inherited diseases, as the primary step toward understanding the pathogenesis of these diseases, requires a combined analysis of genetic and genomic data. Although bioinformatics methods have been designed to prioritize candidate genes resulting from genetic linkage analysis or association studies, the coverage of both diseases and genes in existing methods is quite limited, thereby preventing the scan of causal genes for a significant proportion of diseases at the whole-genome level. To overcome this limitation, we propose a method named pgWalk to prioritize candidate genes by integrating multiple phenomic and genomic data. We derive three types of phenotype similarities among 7719 diseases and nine types of functional similarities among 20327 genes. Based on a pair of phenotype and gene similarities, we construct a disease-gene network and then simulate the process that a random walker wanders on such a heterogeneous network to quantify the strength of association between a candidate gene and a query disease. A weighted version of the Fisher's method with dependent correction is adopted to integrate 27 scores obtained in this way, and a final q-value is calibrated for prioritizing candidate genes. A series of validation experiments are conducted to demonstrate the superior performance of this approach. We further show the effectiveness of this method in exome sequencing studies of autism and epileptic encephalopathies. An online service and the standalone software of pgWalk can be found at http://bioinfo.au.tsinghua.edu.cn/jianglab/pgwalk. PMID:25681405

  6. Candidate Gene-Environment Interaction Research: Reflections and Recommendations

    PubMed Central

    Dick, Danielle M.; Agrawal, Arpana; Keller, Matthew C.; Adkins, Amy; Aliev, Fazil; Monroe, Scott; Hewitt, John K.; Kendler, Kenneth S.; Sher, Kenneth J.

    2014-01-01

    Studying how genetic predispositions come together with environmental factors to contribute to complex behavioral outcomes has great potential for advancing our understanding of the development of psychopathology. It represents a clear theoretical advance over studying these factors in isolation. However, research at the intersection of multiple fields creates many challenges. We review several reasons why the rapidly expanding candidate gene-environment interaction (cGxE) literature should be considered with a degree of caution. We discuss lessons learned about candidate gene main effects from the evolving genetics literature and how these inform the study of cGxE. We review the importance of the measurement of the gene and environment of interest in cGxE studies. We discuss statistical concerns with modeling cGxE that are frequently overlooked. And we review other challenges that have likely contributed to the cGxE literature being difficult to interpret, including low power and publication bias. Many of these issues are similar to other concerns about research integrity (e.g., high false positive rates) that have received increasing attention in the social sciences. We provide recommendations for rigorous research practices for cGxE studies that we believe will advance its potential to contribute more robustly to the understanding of complex behavioral phenotypes. PMID:25620996

  7. Candidate-gene analysis of white matter hyperintensities on neuroimaging

    PubMed Central

    Tran, Theresa; Cotlarciuc, Ioana; Yadav, Sunaina; Hasan, Nazeeha; Bentley, Paul; Levi, Christopher; Worrall, Bradford B; Meschia, James F; Rost, Natalia; Sharma, Pankaj

    2016-01-01

    Background White matter hyperintensities (WMH) are a common radiographic finding and may be a useful endophenotype for small vessel diseases. Given high heritability of WMH, we hypothesised that certain genotypes may predispose individuals to these lesions and consequently, to an increased risk of stroke, dementia and death. We performed a meta-analysis of studies investigating candidate genes and WMH to elucidate the genetic susceptibility to WMH and tested associated variants in a new independent WMH cohort. We assessed a causal relationship of WMH to methylene tetrahydrofolate reductase (MTHFR). Methods Database searches through March 2014 were undertaken and studies investigating candidate genes in WMH were assessed. Associated variants were tested in a new independent ischaemic cohort of 1202 WMH patients. Mendelian randomization was undertaken to assess a causal relationship between WMH and MTHFR. Results We identified 43 case-control studies interrogating eight polymorphisms in seven genes covering 6,314 WMH cases and 15,461 controls. Fixed-effects meta-analysis found that the C-allele containing genotypes of the aldosterone synthase CYP11B2 T(−344)C gene polymorphism were associated with a decreased risk of WMH (OR=0.61; 95% CI, 0.44 to 0.84; p=0.003). Using mendelian randomisation the association among MTHFR C677T, homocysteine levels and WMH, approached, but did not reach, significance (expected OR=1.75; 95% CI, 0.90−3.41; observed OR=1.68; 95% CI, 0.97−2.94). Neither CYP11B2 T(−344)C nor MTHFR C677T were significantly associated when tested in a new independent cohort of 1202 patients with WMH. Conclusions There is a genetic basis to WMH but anonymous genome wide and exome studies are more likely to provide novel loci of interest. PMID:25835038

  8. Novel Primary Immunodeficiency Candidate Genes Predicted by the Human Gene Connectome

    PubMed Central

    Itan, Yuval; Casanova, Jean-Laurent

    2015-01-01

    Germline genetic mutations underlie various primary immunodeficiency (PID) diseases. Patients with rare PID diseases (like most non-PID patients and healthy individuals) carry, on average, 20,000 rare and common coding variants detected by high-throughput sequencing. It is thus a major challenge to select only a few candidate disease-causing variants for experimental testing. One of the tools commonly used in the pipeline for estimating a potential PID-candidate gene is to test whether the specific gene is included in the list of genes that were already experimentally validated as PID-causing in previous studies. However, this approach is limited because it cannot detect the PID-causing mutation(s) in the many PID patients carrying causal mutations of as yet unidentified PID-causing genes. In this study, we expanded in silico the list of potential PID-causing candidate genes from 229 to 3,110. We first identified the top 1% of human genes predicted by the human genes connectome to be biologically close to the 229 known PID genes. We then further narrowed down the list of genes by retaining only the most biologically relevant genes, with functionally enriched gene ontology biological categories similar to those for the known PID genes. We validated this prediction by showing that 17 of the 21 novel PID genes published since the last IUIS classification fall into this group of 3,110 genes (p < 10−7). The resulting new extended list of 3,110 predicted PID genes should be useful for the discovery of novel PID genes in patients. PMID:25883595

  9. Identifying disease candidate genes via large-scale gene network analysis.

    PubMed

    Kim, Haseong; Park, Taesung; Gelenbe, Erol

    2014-01-01

    Gene Regulatory Networks (GRN) provide systematic views of complex living systems, offering reliable and large-scale GRNs to identify disease candidate genes. A reverse engineering technique, Bayesian Model Averaging-based Networks (BMAnet), which ensembles all appropriate linear models to tackle uncertainty in model selection that integrates heterogeneous biological data sets is introduced. Using network evaluation metrics, we compare the networks that are thus identified. The metric 'Random walk with restart (Rwr)' is utilised to search for disease genes. In a simulation our method shows better performance than elastic-net and Gaussian graphical models, but topological quantities vary among the three methods. Using real-data, brain tumour gene expression samples consisting of non-tumour, grade III and grade IV are analysed to estimate networks with a total of 4422 genes. Based on these networks, 169 brain tumour-related candidate genes were identified and some were found to relate to 'wound', 'apoptosis', and 'cell death' processes. PMID:25796737

  10. Candidate gene analysis of osteochondrosis in Spanish Purebred horses.

    PubMed

    Sevane, N; Dunner, S; Boado, A; Cañon, J

    2016-10-01

    Equine osteochondrosis (OC) is a frequent developmental orthopaedic disease with high economic impact on the equine industry and may lead to premature retirement of the animal as a result of chronic pain and lameness. The genetic background of OC includes different genes affecting several locations; however, these genetic associations have been tested in only one or few populations, lacking the validation in others. The aim of this study was to identify the genetic determinants of OC in the Spanish Purebred horse breed. For that purpose, we used a candidate gene approach to study the association between loci previously implicated in the onset and development of OC in other breeds and different OC locations using radiographic data from 144 individuals belonging to the Spanish Purebred horse breed. Of the 48 polymorphisms analysed, three single nucleotide polymorphisms (SNPs) located in the FAF1, FCN3 and COL1A2 genes were found to be associated with different locations of OC lesions. These data contribute insights into the complex gene networks underlying the multifactorial disease OC, and the associated SNPs could be used in a marker-assisted selection strategy to improve horse health, welfare and competitive lifespan. PMID:27422688

  11. Investigation of two candidate genes for Hailey-Hailey disease

    SciTech Connect

    Peluso, A.M.; Ikeda, S.; Bonifas, J.M.

    1994-09-01

    Hailey-Hailey disease (familial benign chronic pemphigus) is an autosomal dominant skin disease characterized by impaired keratinocyte cohesion and consequent blister formation. Recently we have used linkage to map the gene for this disease to a region of chromosome 3q between D3S1589 and D3S1316. The maximum combined two point lod score in four families studied was 14.60 at {theta} = 0 at the D3S1290 microsatellite repeat. Several genes have been mapped to chromosome 3q21-24, including cellular retinol binding protein (RBP1) and rhodopsin (RHO). Using microsatellite repeat for RHO we have found a recombinant with the RHO gene and Hailey-Hailey disease in one patient. Because of the profound effects of retinoids on epidermal differentiation, RBP1 could be considered as a possible candidate gene. We have amplified genomic DNA from patients from 14 individual families with Hailey-Hailey disease and 10 different control samples for each of the 4 exons of RBP1. Thus far, SSCP analysis has failed to detect different banding patterns in patients versus controls. We are now attempting to extend this RBP1 analysis and are collecting new families to use linkage analysis to narrow this still rather large (approximately 14 cM) interval.

  12. Direct interplay between two candidate genes in FSHD muscular dystrophy

    PubMed Central

    Ferri, Giulia; Huichalaf, Claudia H.; Caccia, Roberta; Gabellini, Davide

    2015-01-01

    Facioscapulohumeral muscular dystrophy (FSHD) is one of the most common neuromuscular disorders. The major form of the disease (FSHD1) is linked to decrease in copy number of a 3.3-kb tandem repeated macrosatellite (D4Z4), located on chromosome 4q35. D4Z4 deletion alters chromatin structure of the locus leading to aberrant expression of nearby 4q35 genes. Given the high variability in disease onset and progression, multiple factors could contribute to the pathogenesis of FSHD. Among the FSHD candidate genes are double homeobox 4 (DUX4), encoded by the most telomeric D4Z4 unit, and FSHD region gene 1 (FRG1). DUX4 is a sequence-specific transcription factor. Here, we located putative DUX4 binding sites in the human FRG1 genomic area and we show specific DUX4 association to these regions. We found also that ectopically expressed DUX4 up-regulates the endogenous human FRG1 gene in healthy muscle cells, while DUX4 knockdown leads to a decrease in FRG1 expression in FSHD muscle cells. Moreover, DUX4 binds directly and specifically to its binding site located in the human FRG1 gene and transactivates constructs containing FRG1 genomic regions. Intriguingly, the mouse Frg1 genomic area lacks DUX4 binding sites and DUX4 is unable to activate the endogenous mouse Frg1 gene providing a possible explanation for the lack of muscle phenotype in DUX4 transgenic mice. Altogether, our results demonstrate that FRG1 is a direct DUX4 transcriptional target uncovering a novel regulatory circuit contributing to FSHD. PMID:25326393

  13. Promoter methylation of candidate genes associated with familial testicular cancer.

    PubMed

    Mirabello, Lisa; Kratz, Christian P; Savage, Sharon A; Greene, Mark H

    2012-01-01

    Recent genomic studies have identified risk SNPs in or near eight genes associated with testicular germ cell tumors (TGCT). Mouse models suggest a role for Dnd1 epigenetics in TGCT susceptibility, and we have recently reported that transgenerational inheritance of epigenetic events may be associated with familial TGCT risk. We now investigate whether aberrant promoter methylation of selected candidate genes is associated with familial TGCT risk. Pyrosequencing assays were designed to evaluate CpG methylation in the promoters of selected genes in peripheral blood DNA from 153 TGCT affecteds and 116 healthy male relatives from 101 multiple-case families. Wilcoxon rank-sum tests and logistic regression models were used to investigate associations between promoter methylation and TGCT. We also quantified gene product expression of these genes, using quantitative PCR. We observed increased PDE11A, SPRY4 and BAK1 promoter methylation, and decreased KITLG promoter methylation, in familial TGCT cases versus healthy male family controls. A significant upward risk trend was observed for PDE11A when comparing the middle and highest tertiles of methylation to the lowest [odds ratio (OR) =1.55, 95% confidence intervals (CI) 0.82-2.93, and 1.94, 95% CI 1.03-3.66], respectively; P(trend)=0.042). A significant inverse association was observed for KITLG when comparing the middle and lowest tertiles to the highest (OR=2.15, 95% CI 1.12-4.11, and 2.15, 95% CI 1.12-4.14, respectively; P(trend)=0.031). There was a weak inverse correlation between promoter methylation and KITLG expression. Our results suggest that familial TGCT susceptibility may be associated with promoter methylation of previously-identified TGCT risk-modifying genes. Larger studies are warranted. PMID:23050052

  14. Direct interplay between two candidate genes in FSHD muscular dystrophy.

    PubMed

    Ferri, Giulia; Huichalaf, Claudia H; Caccia, Roberta; Gabellini, Davide

    2015-03-01

    Facioscapulohumeral muscular dystrophy (FSHD) is one of the most common neuromuscular disorders. The major form of the disease (FSHD1) is linked to decrease in copy number of a 3.3-kb tandem repeated macrosatellite (D4Z4), located on chromosome 4q35. D4Z4 deletion alters chromatin structure of the locus leading to aberrant expression of nearby 4q35 genes. Given the high variability in disease onset and progression, multiple factors could contribute to the pathogenesis of FSHD. Among the FSHD candidate genes are double homeobox 4 (DUX4), encoded by the most telomeric D4Z4 unit, and FSHD region gene 1 (FRG1). DUX4 is a sequence-specific transcription factor. Here, we located putative DUX4 binding sites in the human FRG1 genomic area and we show specific DUX4 association to these regions. We found also that ectopically expressed DUX4 up-regulates the endogenous human FRG1 gene in healthy muscle cells, while DUX4 knockdown leads to a decrease in FRG1 expression in FSHD muscle cells. Moreover, DUX4 binds directly and specifically to its binding site located in the human FRG1 gene and transactivates constructs containing FRG1 genomic regions. Intriguingly, the mouse Frg1 genomic area lacks DUX4 binding sites and DUX4 is unable to activate the endogenous mouse Frg1 gene providing a possible explanation for the lack of muscle phenotype in DUX4 transgenic mice. Altogether, our results demonstrate that FRG1 is a direct DUX4 transcriptional target uncovering a novel regulatory circuit contributing to FSHD. PMID:25326393

  15. [Identification of candidate genes and expression profiles, as doping biomarkers].

    PubMed

    Paparini, A; Impagnatiello, F; Pistilli, A; Rinaldi, M; Gianfranceschi, G; Signori, E; Stabile, A M; Fazio, V; Rende, M; Romano Spica, V

    2007-01-01

    Administration of prohibited substances to enhance athletic performance represents an emerging medical, social, ethical and legal issue. Traditional controls are based on direct detection of substances or their catabolites. However out-of-competition doping may not be easily revealed by standard analytical methods. Alternative indirect control strategies are based on the evaluation of mid- and long-term effects of doping in tissues. Drug-induced long-lasting changes of gene expression may be taken as effective indicators of doping exposure. To validate this approach, we used real-time PCR to monitor the expression pattern of selected genes in human haematopoietic cells exposed to nandrolone, insulin-like growth factor I (IGF-I) or growth hormone (GH). Some candidate genes were found significantly and consistently modulated by treatments. Nandrolone up-regulated AR, ESR2 and PGR in K562 cells, and SRD5A1, PPARA and JAK2 in Jurkat cells; IGF-I up-regulated EPOR and PGR in HL60 cells, and SRD5A1 in Jurkat; GH up-regulated SRD5A1 and GHR in K562. GATA1 expression was down-regulated in IGF-1-treated HL60, ESR2 was down-regulated in nandrolone-treated Jurkat, and AR and PGR were down-regulated in GH-treated Jurkat. This pilot study shows the potential of molecular biology-based strategies in anti-doping controls. PMID:17937323

  16. Achromatopsia as a Potential Candidate for Gene Therapy

    PubMed Central

    Pang, Ji-jing; Alexander, John; Lei, Bo; Deng, Wentao; Zhang, Keqing; Li, Qiuhong; Chang, Bo; Hauswirth, William W.

    2013-01-01

    Achromatopsia is an autosomal recessive retinal disease involving loss of cone function that afflicts approximately 1 in 30,000 individuals. Patients with achromatopsia usually have visual acuities lower than 20/200 because of the central vision loss, photophobia, complete color blindness and reduced cone-mediated electroretinographic (ERG) amplitudes. Mutations in three genes have been found to be the primary causes of achromatopsia, including CNGB3 (beta subunit of the cone cyclic nucleotide-gated cation channel), CNGA3 (alpha subunit of the cone cyclic nucleotide-gated cation channel), and GNAT2 (cone specific alpha subunit of transducin). Naturally occurring mouse models with mutations in Cnga3 (cpfl5 mice) and Gnat2 (cpfl3 mice) were discovered at The Jackson Laboratory. A natural occurring canine model with CNGB3 mutations has also been found. These animal models have many of the central phenotypic features of the corresponding human diseases. Using adeno-associated virus (AAV)-mediated gene therapy, we and others show that cone function can be restored in all three models. These data suggest that human achromatopsia may be a good candidate for corrective gene therapy. PMID:20238068

  17. Expression cloning of a candidate gene for Mucolipidosis type IV

    SciTech Connect

    Gama Sosa, M.A.; De Gasperi, R.; Battistini, S.

    1994-09-01

    Mucolipidosis IV is an autosomal recessive lysosomal storage disease characterized by progressive psychomotor retardation and opthalmological abnormalities, namely corneal opacity and retinal degeneration. Biochemically, it is characterized by the lysosomal accumulation of diverse compounds such as gangliosides, phospholipids and acidic mucopolysaccharides. To date, the basic biochemical defect causing this storage disease is still unknown and the relevant gene has also not been identified. An expression cloning strategy was used to identify human kidney cDNA clones capable of reverting in transient gene expression assays the PAS+ phenotype typical of Mucolipidosis IV cells to the normal PAS- phenotype. By this method, a candidate cDNA clone (Mu cDNA) capable of clearing Mucolipidosis IV fibroblasts of their PAS+ positive storage material was isolated. Nucleotide sequence analysis indicated the presence of 2 open reading frames. In vitro translation of T7 transcribed Mu RNA showed protein products of 7,000 and 6,000 mw. Altered expression of the Mu gene may result in the onset of Mucolipidosis type IV.

  18. Length of Selection Around Candidate Genes for Artificial Selection During Domestication and Crop Improvement in Maize

    Technology Transfer Automated Retrieval System (TEKTRAN)

    Genomic screens for artificial selection have been successful in identifying candidate genes for agronomic traits in maize (Zea mays L). However, the validity of the candidates identified requires that selection sweeps are very short, only containing the candidate gene with the nearest neighboring g...

  19. Genetics of intracerebral hemorrhage: Insights from candidate gene approaches.

    PubMed

    Liu, Baoqiong; Zhang, Le; Yang, Qidong

    2012-01-01

    Intracerebral hemorrhage (ICH) is a heterogeneous disease with genetic factors playing an important role. Association studies on a wide range of candidate pathways suggest a weak but significant effect for several alleles with ICH risk. Among the most widely investigated genes are those involved in the renin-angiotensin-aldosterone system (e.g., angiotensin-converting enzyme), coagulation pathway (e.g., Factor XIII, Factor VII, platelet-activating factor acetylhydrolase, Factor V Leiden, and beta1-tubulin), lipid metabolism (e.g., apolipoproteins (Apo)E, Apo(a), ApoH), homocysteine metabolism (e.g., methylenetetrahydrofolate reductase), inflammation (e.g., interleukin-6 and tumor necrosis-alpha) and other candidate pathways. To identify the robustness of the above associations with ICH, a search of Pubmed (1988 through December 2011) was performed, with searches limited to English-language studies conducted among adult human subjects. This article presents a review of the examined literature on the genetics of ICH. PMID:22406772

  20. Isolation and characterization of genes from the SMA candidate region

    SciTech Connect

    Thompson, T.G.; Ta, D.; Wasmuth, J.J.

    1994-09-01

    Spinal muscular atrophy (SMA) is an autosomal recessive disorder affecting alpha motor neutrons. SMA has been mapped to 5q12-13, between the genetic markers D5S435 and 38.3. The distance between these markers, which are closest on the opposite sides of the SMA locus, is {approximately}750 kb. An extensive physical map of this region has been constructed by radiation hybrid (RH) mapping and YAC contig assembly. Further analysis of the YAC contig of the SMA region revealed many deletions and duplications within the YACs. The extensive rearrangements in these YACs makes it very difficult to use them to construct a cosmid contig. The YACs and cosmids isolated thus far have been used to isolate expressed sequences using the method of exon amplification. Putative exons were then used to screen various cDNA libraries to isolate the corresponding cDNAs. Genomic sequences that cross-hybridize very strongly to many of the cDNAs are present in two different regions of chromosome 5, in the SMA region and in 5p13-14. These duplications appear to represent genes and partially processed psuedogenes in one or both of the regions and it has been difficult to determine which of the two loci is the functional gene. Other cDNAs located exclusively in the SMA region have also been found. From the two classes of cDNAs (duplicated or single copy), there are four that are good candidates for the disease gene. These include a cDNA that shows homology to a chicken neuronal specific myosin heavy chain gene, an expressed variant of promelanin concentrating hormone, k-cadherin and a glutathion-S-transferase Mu class protein. We are isolating the full length transcripts for each of these and will use them in DGGE and SSCP gel analysis of SMA patients.

  1. Reconstruction of a Functional Human Gene Network, with an Application for Prioritizing Positional Candidate Genes

    PubMed Central

    Franke, Lude; Bakel, Harm van; Fokkens, Like; de Jong, Edwin D.; Egmont-Petersen, Michael; Wijmenga, Cisca

    2006-01-01

    Most common genetic disorders have a complex inheritance and may result from variants in many genes, each contributing only weak effects to the disease. Pinpointing these disease genes within the myriad of susceptibility loci identified in linkage studies is difficult because these loci may contain hundreds of genes. However, in any disorder, most of the disease genes will be involved in only a few different molecular pathways. If we know something about the relationships between the genes, we can assess whether some genes (which may reside in different loci) functionally interact with each other, indicating a joint basis for the disease etiology. There are various repositories of information on pathway relationships. To consolidate this information, we developed a functional human gene network that integrates information on genes and the functional relationships between genes, based on data from the Kyoto Encyclopedia of Genes and Genomes, the Biomolecular Interaction Network Database, Reactome, the Human Protein Reference Database, the Gene Ontology database, predicted protein-protein interactions, human yeast two-hybrid interactions, and microarray coexpressions. We applied this network to interrelate positional candidate genes from different disease loci and then tested 96 heritable disorders for which the Online Mendelian Inheritance in Man database reported at least three disease genes. Artificial susceptibility loci, each containing 100 genes, were constructed around each disease gene, and we used the network to rank these genes on the basis of their functional interactions. By following up the top five genes per artificial locus, we were able to detect at least one known disease gene in 54% of the loci studied, representing a 2.8-fold increase over random selection. This suggests that our method can significantly reduce the cost and effort of pinpointing true disease genes in analyses of disorders for which numerous loci have been reported but for which

  2. Association of single nucleotide polymorphisms in candidate genes residing under quantitative trait loci in beef cattle

    Technology Transfer Automated Retrieval System (TEKTRAN)

    The objective was to assess the association of single nucleotide polymorphisms (SNP) developed on candidate genes residing under previously identified quantitative trait loci for marbling score and meat tenderness. Two hundred five SNP were identified on twenty candidate genes. Genes selected under ...

  3. Inferring Gene Regulatory Networks Using Conditional Regulation Pattern to Guide Candidate Genes

    PubMed Central

    Xiao, Fei; Gao, Lin; Ye, Yusen; Hu, Yuxuan; He, Ruijie

    2016-01-01

    Combining path consistency (PC) algorithms with conditional mutual information (CMI) are widely used in reconstruction of gene regulatory networks. CMI has many advantages over Pearson correlation coefficient in measuring non-linear dependence to infer gene regulatory networks. It can also discriminate the direct regulations from indirect ones. However, it is still a challenge to select the conditional genes in an optimal way, which affects the performance and computation complexity of the PC algorithm. In this study, we develop a novel conditional mutual information-based algorithm, namely RPNI (Regulation Pattern based Network Inference), to infer gene regulatory networks. For conditional gene selection, we define the co-regulation pattern, indirect-regulation pattern and mixture-regulation pattern as three candidate patterns to guide the selection of candidate genes. To demonstrate the potential of our algorithm, we apply it to gene expression data from DREAM challenge. Experimental results show that RPNI outperforms existing conditional mutual information-based methods in both accuracy and time complexity for different sizes of gene samples. Furthermore, the robustness of our algorithm is demonstrated by noisy interference analysis using different types of noise. PMID:27171286

  4. Candidate vaccine antigens and genes in Pasteurella multocida.

    PubMed

    Adler, B; Bulach, D; Chung, J; Doughty, S; Hunt, M; Rajakumar, K; Serrano, M; van Zanden, A; Zhang, Y; Ruffolo, C

    1999-08-20

    Pasteurella multocida is the causative agent of fowl cholera and other diseases of production animals. Isolates are classified into five groups based on capsular antigens and into 16 serotypes based on LPS antigens. Strains causing fowl cholera are most frequently designated A:1, A:3 or A:4. Whole cell bacterins can provide some degree of protection, but only against the homologous LPS serotype. There is good evidence that cross-protective antigens are expressed only under in vivo conditions. Empirically derived, live, attenuated vaccines can protect against heterologous serotypes, but because the basis for attenuation is undefined, reversion to virulence is not uncommon. Work in our laboratory is aimed at using a variety of approaches to identify potential protective antigens or virulence genes to be used as candidates for attenuating mutations or as the basis for vaccine antigen delivery systems. The gene encoding an outer membrane protein, Oma87, which is a homologue of the D15 protective antigen of Haemophilus influenzae, was cloned and sequenced. Rabbit antiserum prepared against recombinant Oma87 could passively protect mice against infection. Type 4 fimbriae form the basis of vaccines against ovine footrot and bovine keratoconjunctivitis. We have identified type 4 fimbriae on the surface of P. multocida, purified the fimbrial subunit protein, PtfA, and determined its N-terminal amino acid sequence. Subsequent cloning of the ptfA gene and its inactivation will now be used to assess the importance of type 4 fimbriae in virulence. There has long been anecdotal evidence for the importance of capsule in virulence, but unequivocal genetic evidence for such a role is lacking. We have cloned and characterised the capsule biosynthetic locus in P. multocida A:1 and identified four bex genes involved in capsule transport and genes encoding enzymes involved in the biosynthesis and transfer of the N-acetyl glucosamine and glucuronic acid components of the capsule. It has

  5. TNXB locus may be a candidate gene predisposing to schizophrenia.

    PubMed

    Wei, J; Hemmings, G P

    2004-02-15

    We report here on the detection of nine single nucleotide polymorphisms (SNPs) near to the NOTCH4 locus in the search for schizophrenia susceptibility genes in the class III region of the human major histocompatibility complex (MHC). We totally analyzed 122 family trios recruited in the UK. The TDT analysis demonstrated that of the nine SNPs, three were associated with schizophrenia, including rs1009382 (P = 0.00047), rs204887 (P = 0.007), and rs8283 (P = 0.015). Both rs1009382 and rs204887 are present in the TNXB locus. The rs1009382 is a non-synonymous SNP located in exon 23 of the gene and its A to G base change causes a Glu2578Gly substitution. The goodness-of-fit test showed that genotypic distribution of rs1009382 was deviated from Hardy-Weinberg equilibrium due to homozygote excess in the patient group (P = 0.01), suggesting that a double dose of a genetic risk may be involved. Possibly, rs1009382 is a candidate SNP predisposing to a schizophrenic illness. Moreover, the test for linkage disequilibrium (LD) between paired SNPs showed that the nine SNPs studied may be in the same LD block with an unexpected pattern as the strength of LD was not correlated with the distance between paired SNPs. The haplotype analysis suggested that there might be more than one disease-related allele located in the class III region of the MHC, and that these alleles possibly confer either susceptibility or resistance to schizophrenia. PMID:14755442

  6. Network Candidate Genes in Breeding for Drought Tolerant Crops

    PubMed Central

    Krannich, Christoph Tim; Maletzki, Lisa; Kurowsky, Christina; Horn, Renate

    2015-01-01

    Climate change leading to increased periods of low water availability as well as increasing demands for food in the coming years makes breeding for drought tolerant crops a high priority. Plants have developed diverse strategies and mechanisms to survive drought stress. However, most of these represent drought escape or avoidance strategies like early flowering or low stomatal conductance that are not applicable in breeding for crops with high yields under drought conditions. Even though a great deal of research is ongoing, especially in cereals, in this regard, not all mechanisms involved in drought tolerance are yet understood. The identification of candidate genes for drought tolerance that have a high potential to be used for breeding drought tolerant crops represents a challenge. Breeding for drought tolerant crops has to focus on acceptable yields under water-limited conditions and not on survival. However, as more and more knowledge about the complex networks and the cross talk during drought is available, more options are revealed. In addition, it has to be considered that conditioning a crop for drought tolerance might require the production of metabolites and might cost the plants energy and resources that cannot be used in terms of yield. Recent research indicates that yield penalty exists and efficient breeding for drought tolerant crops with acceptable yields under well-watered and drought conditions might require uncoupling yield penalty from drought tolerance. PMID:26193269

  7. Identification of candidate genes for chicken early- and late-feathering.

    PubMed

    Zhao, J; Yao, J; Li, F; Yang, Z; Sun, Z; Qu, L; Wang, K; Su, Y; Zhang, A; Montgomery, S A; Geng, T; Cui, H

    2016-07-01

    Previous studies suggest that prolactin receptor (Prlr) is a potential causative gene for chicken early- (EF) and late-feathering (LF) phenotypes. In this study, we evaluated candidate genes for this trait and determined the expression of 3 genes, including Prlr, sperm flagellar protein 2 (Spef2), and their fusion gene, in the skins of one-day-old EF and LF chicks using RT-qPCR. Data indicated that Prlr expression in the skin did not show significant difference between EF and LF chicks, suggesting Prlr may not be a suitable candidate gene. In contrast, Spef2 expression in the skin displayed a significant difference between EF and LF chicks (P < 0.01), suggesting that Spef2 may be a good candidate gene for chicken feathering. Moreover, dPrlr/dSpef2, the fusion gene, was also a good candidate gene as it was expressed only in LF chicks. However, the expression of the fusion gene was much lower than that of Prlr Additionally, using strand-specific primers, we found that the fusion gene was transcribed in 2 directions (one from dPrlr promoter, another from dSpef2 promoter), which could result in the formation of a double strand RNA. In conclusion, both Spef2 and the fusion gene are good candidate genes for chicken feathering, but Prlr is not. The research on the function and regulation of the candidate genes will help elucidate the molecular basis of the chicken feathering trait. PMID:27081197

  8. Candidate Luminal B Breast Cancer Genes Identified by Genome, Gene Expression and DNA Methylation Profiling

    PubMed Central

    Addou-Klouche, Lynda; Finetti, Pascal; Saade, Marie-Rose; Manai, Marwa; Carbuccia, Nadine; Bekhouche, Ismahane; Letessier, Anne; Charafe-Jauffret, Emmanuelle; Jacquemier, Jocelyne; Spicuglia, Salvatore; de The, Hugues; Viens, Patrice; Bertucci, François; Birnbaum, Daniel; Chaffanet, Max

    2014-01-01

    Breast cancers (BCs) of the luminal B subtype are estrogen receptor-positive (ER+), highly proliferative, resistant to standard therapies and have a poor prognosis. To better understand this subtype we compared DNA copy number aberrations (CNAs), DNA promoter methylation, gene expression profiles, and somatic mutations in nine selected genes, in 32 luminal B tumors with those observed in 156 BCs of the other molecular subtypes. Frequent CNAs included 8p11-p12 and 11q13.1-q13.2 amplifications, 7q11.22-q34, 8q21.12-q24.23, 12p12.3-p13.1, 12q13.11-q24.11, 14q21.1-q23.1, 17q11.1-q25.1, 20q11.23-q13.33 gains and 6q14.1-q24.2, 9p21.3-p24,3, 9q21.2, 18p11.31-p11.32 losses. A total of 237 and 101 luminal B-specific candidate oncogenes and tumor suppressor genes (TSGs) presented a deregulated expression in relation with their CNAs, including 11 genes previously reported associated with endocrine resistance. Interestingly, 88% of the potential TSGs are located within chromosome arm 6q, and seven candidate oncogenes are potential therapeutic targets. A total of 100 candidate oncogenes were validated in a public series of 5,765 BCs and the overexpression of 67 of these was associated with poor survival in luminal tumors. Twenty-four genes presented a deregulated expression in relation with a high DNA methylation level. FOXO3, PIK3CA and TP53 were the most frequent mutated genes among the nine tested. In a meta-analysis of next-generation sequencing data in 875 BCs, KCNB2 mutations were associated with luminal B cases while candidate TSGs MDN1 (6q15) and UTRN (6q24), were mutated in this subtype. In conclusion, we have reported luminal B candidate genes that may play a role in the development and/or hormone resistance of this aggressive subtype. PMID:24416132

  9. Differential Gene Expression Reveals Candidate Genes for Drought Stress Response in Abies alba (Pinaceae)

    PubMed Central

    Ziegenhagen, Birgit; Liepelt, Sascha

    2015-01-01

    Increasing drought periods as a result of global climate change pose a threat to many tree species by possibly outpacing their adaptive capabilities. Revealing the genetic basis of drought stress response is therefore implemental for future conservation strategies and risk assessment. Access to informative genomic regions is however challenging, especially for conifers, partially due to their large genomes, which puts constraints on the feasibility of whole genome scans. Candidate genes offer a valuable tool to reduce the complexity of the analysis and the amount of sequencing work and costs. For this study we combined an improved drought stress phenotyping of needles via a novel terahertz water monitoring technique with Massive Analysis of cDNA Ends to identify candidate genes for drought stress response in European silver fir (Abies alba Mill.). A pooled cDNA library was constructed from the cotyledons of six drought stressed and six well-watered silver fir seedlings, respectively. Differential expression analyses of these libraries revealed 296 candidate genes for drought stress response in silver fir (247 up- and 49 down-regulated) of which a subset was validated by RT-qPCR of the twelve individual cotyledons. A majority of these genes code for currently uncharacterized proteins and hint on new genomic resources to be explored in conifers. Furthermore, we could show that some traditional reference genes from model plant species (GAPDH and eIF4A2) are not suitable for differential analysis and we propose a new reference gene, TPC1, for drought stress expression profiling in needles of conifer seedlings. PMID:25924061

  10. Candidate Gene Analyses of Skeletal Variation in Malocclusion.

    PubMed

    da Fontoura, C S G; Miller, S F; Wehby, G L; Amendt, B A; Holton, N E; Southard, T E; Allareddy, V; Moreno Uribe, L M

    2015-07-01

    This study evaluated associations between craniofacial candidate genes and skeletal variation in patients with malocclusion. Lateral cephalometric radiographs of 269 untreated adults with skeletal classes I, II, and III malocclusion were digitized with 14 landmarks. Two-dimensional coordinates were analyzed using Procrustes fit and principal component (PC) analysis to generate continuous malocclusion phenotypes. Skeletal class classifications (I, II, or III) were used as a categorical phenotype. Individuals were genotyped for 198 single-nucleotide polymorphisms (SNPs) in 71 craniofacial genes and loci. Phenotype-genotype associations were tested via multivariate linear regression for continuous phenotypes and multinomial logistic regression for skeletal malocclusion class. PC analysis resulted in 4 principal components (PCs) explaining 69% of the total skeletal facial variation. PC1 explained 32.7% of the variation and depicted vertical discrepancies ranging from skeletal deep to open bites. PC1 was associated with a SNP near PAX5 (P = 0.01). PC2 explained 21.7% and captured horizontal maxillomandibular discrepancies. PC2 was associated with SNPs upstream of SNAI3 (P = 0.0002) and MYO1H (P = 0.006). PC3 explained 8.2% and captured variation in ramus height, body length, and anterior cranial base orientation. PC3 was associated with TWIST1 (P = 0.000076). Finally, PC4 explained 6.6% and detected variation in condylar inclination as well as symphysis projection. PC4 was associated with PAX7 (P = 0.007). Furthermore, skeletal class II risk increased relative to class I with the minor alleles of SNPs in FGFR2 (odds ratio [OR] = 2.1, P = 0.004) and declined with SNPs in EDN1 (OR = 0.5, P = 0.007). Conversely, skeletal class III risk increased versus class I with SNPs in FGFR2 (OR 2.2, P = 0.005) and COL1A1 (OR = 2.1, P = 0.008) and declined with SNPs in TBX5 (OR = 0.5, P = 0.014). PAX5, SNAI3, MYO1H, TWIST1, and PAX7 are associated with craniofacial skeletal variation

  11. Candidate Gene Analyses of Skeletal Variation in Malocclusion

    PubMed Central

    da Fontoura, C.S.G.; Miller, S.F.; Wehby, G.L.; Amendt, B.A.; Holton, N.E.; Southard, T.E.; Allareddy, V.

    2015-01-01

    This study evaluated associations between craniofacial candidate genes and skeletal variation in patients with malocclusion. Lateral cephalometric radiographs of 269 untreated adults with skeletal classes I, II, and III malocclusion were digitized with 14 landmarks. Two-dimensional coordinates were analyzed using Procrustes fit and principal component (PC) analysis to generate continuous malocclusion phenotypes. Skeletal class classifications (I, II, or III) were used as a categorical phenotype. Individuals were genotyped for 198 single-nucleotide polymorphisms (SNPs) in 71 craniofacial genes and loci. Phenotype-genotype associations were tested via multivariate linear regression for continuous phenotypes and multinomial logistic regression for skeletal malocclusion class. PC analysis resulted in 4 principal components (PCs) explaining 69% of the total skeletal facial variation. PC1 explained 32.7% of the variation and depicted vertical discrepancies ranging from skeletal deep to open bites. PC1 was associated with a SNP near PAX5 (P = 0.01). PC2 explained 21.7% and captured horizontal maxillomandibular discrepancies. PC2 was associated with SNPs upstream of SNAI3 (P = 0.0002) and MYO1H (P = 0.006). PC3 explained 8.2% and captured variation in ramus height, body length, and anterior cranial base orientation. PC3 was associated with TWIST1 (P = 0.000076). Finally, PC4 explained 6.6% and detected variation in condylar inclination as well as symphysis projection. PC4 was associated with PAX7 (P = 0.007). Furthermore, skeletal class II risk increased relative to class I with the minor alleles of SNPs in FGFR2 (odds ratio [OR] = 2.1, P = 0.004) and declined with SNPs in EDN1 (OR = 0.5, P = 0.007). Conversely, skeletal class III risk increased versus class I with SNPs in FGFR2 (OR 2.2, P = 0.005) and COL1A1 (OR = 2.1, P = 0.008) and declined with SNPs in TBX5 (OR = 0.5, P = 0.014). PAX5, SNAI3, MYO1H, TWIST1, and PAX7 are associated with craniofacial skeletal variation

  12. Hypothesis-Driven Candidate Genes for Schizophrenia Compared to Genome-Wide Association Results

    PubMed Central

    Collins, Ann L.; Kim, Yunjung; Sklar, Pamela; O’Donovan, Michael C.; Sullivan, Patrick F.

    2014-01-01

    Background Candidate gene studies have been a key approach to the genetics of schizophrenia. Results of these studies have been confusing and no genes have been unequivocally implicated. The hypothesis-driven candidate gene literature can be appraised via comparison with the results of genome-wide association studies (GWAS). Methods We described the characteristics of hypothesis-driven candidate gene studies from SZGene, and used pathway analysis to compare hypothesis-driven candidate genes with GWAS results from the International Schizophrenia Consortium (ISC). Results SZGene contained 732 autosomal genes evaluated in 1,374 studies. These genes had poor statistical power to detect genetic effects typical for human diseases, assessed only 3.7% of genes in the genome, and had low marker densities per gene. Most genes were assessed once or twice (76.9%), providing minimal ability to evaluate consensus across studies. The ISC had power of 89% to detect a genetic effect typical for common human diseases and assessed 79% of known autosomal common genetic variation. Pathway analyses did not reveal enrichment of smaller ISC p-values in hypothesis-driven candidate genes nor did a comprehensive evaluation of meta-hypotheses driving candidate gene selection (schizophrenia as a disease of the synapse or neurodevelopment). The most studied hypothesis-driven candidate genes had no notable ISC results (COMT, DRD3, DRD2, HTR2A, NRG1, BDNF, DTNBP1, and SLC6A4). Conclusions We did not find support for the idea that the hypothesis-driven candidate genes studied in the literature were enriched for common variation involved in the etiology of schizophrenia. Larger samples are required definitively to evaluate this conclusion. PMID:21854684

  13. Exclusion of the PAX2 gene as a candidate gene for Crouzon craniofacial dysostosis

    SciTech Connect

    Preston, R.A.; Gorry, M.C.; Warman, M.

    1994-09-01

    Crouzon craniofacial dysostosis (CFD, MIM 123500) is an abnormality of craniofacial development characterized by premature craniosynostosis, maxillary hypoplasia, and shallow orbits. We have mapped the CFD gene locus using a candidate gene approach to a 7 centiMorgan region on chromosome 10q in three CFD families. A maximal multipoint LOD score of 12.33 was achieved for a locus 2 cM distal to the microsatellite marker D10S209. A comparison of several physical, cytogenetic, and linkage maps revealed that the cytogenetic bands, 10q25-q26, most likely contain this CFD locus. The PAX2 gene, which has been mapped near another marker which in turn has been mapped to 10q25, was analyzed as a candidate gene. PAX2 was chosen for analysis because mutations in other members of the PAX gene family have been identified with human craniofacial abnormalities (e.g. Waardenburg syndrome). A YAC contig, consisting of 5 overlapping groups and composed of 11 YACs that spans the entire 7 cM region, was assembled for PAX2 analyses. None of these YACs supported PAX2-specific amplification using primer sets for both the second and third PAX2 exons. Control amplifications for YAC vector sequences produced robust amplifications in all cases. In addition, SSCP analyses of amplification products generated from the second and third PAX2 exons and the 3{prime} untranslated region of the PAX2 gene from both affected and unaffected family members in two of the kindreds failed to reveal any polymorphisms. Although it remains theoretically possible, due to artifacts in the YAC contigs, it is unlikely that PAX2 is the CFD gene.

  14. Identification of candidate genes for drought tolerance by whole-genome resequencing in maize

    PubMed Central

    2014-01-01

    Background Drought stress is one of the major limiting factors for maize production. With the availability of maize B73 reference genome and whole-genome resequencing of 15 maize inbreds, common variants (CV) and clustering analyses were applied to identify non-synonymous SNPs (nsSNPs) and corresponding candidate genes for drought tolerance. Results A total of 524 nsSNPs that were associated with 271 candidate genes involved in plant hormone regulation, carbohydrate and sugar metabolism, signaling molecules regulation, redox reaction and acclimation of photosynthesis to environment were detected by CV and cluster analyses. Most of the nsSNPs identified were clustered in bin 1.07 region that harbored six previously reported QTL with relatively high phenotypic variation explained for drought tolerance. Genes Ontology (GO) analysis of candidate genes revealed that there were 35 GO terms related to biotic stimulus and membrane-bounded organelle, showing significant differences between the candidate genes and the reference B73 background. Changes of expression level in these candidate genes for drought tolerance were detected using RNA sequencing for fertilized ovary, basal leaf meristem tissue and roots collected under drought stressed and well-watered conditions. The results indicated that 70% of candidate genes showed significantly expression changes under two water treatments and our strategies for mining candidate genes are feasible and relatively efficient. Conclusions Our results successfully revealed candidate nsSNPs and associated genes for drought tolerance by comparative sequence analysis of 16 maize inbred lines. Both methods we applied were proved to be efficient for identifying candidate genes for complex traits through the next-generation sequencing technologies (NGS). These selected genes will not only facilitate understanding of genetic basis of drought stress response, but also accelerate genetic improvement through marker-assisted selection in maize

  15. Utilizing Gene Tree Variation to Identify Candidate Effector Genes in Zymoseptoria tritici

    PubMed Central

    McDonald, Megan C.; McGinness, Lachlan; Hane, James K.; Williams, Angela H.; Milgate, Andrew; Solomon, Peter S.

    2016-01-01

    Zymoseptoria tritici is a host-specific, necrotrophic pathogen of wheat. Infection by Z. tritici is characterized by its extended latent period, which typically lasts 2 wks, and is followed by extensive host cell death, and rapid proliferation of fungal biomass. This work characterizes the level of genomic variation in 13 isolates, for which we have measured virulence on 11 wheat cultivars with differential resistance genes. Between the reference isolate, IPO323, and the 13 Australian isolates we identified over 800,000 single nucleotide polymorphisms, of which ∼10% had an effect on the coding regions of the genome. Furthermore, we identified over 1700 probable presence/absence polymorphisms in genes across the Australian isolates using de novo assembly. Finally, we developed a gene tree sorting method that quickly identifies groups of isolates within a single gene alignment whose sequence haplotypes correspond with virulence scores on a single wheat cultivar. Using this method, we have identified < 100 candidate effector genes whose gene sequence correlates with virulence toward a wheat cultivar carrying a major resistance gene. PMID:26837952

  16. Candidate genes and late-onset type 2 diabetes mellitus. Susceptibility genes or common polymorphisms?

    PubMed

    Hansen, Lars

    2003-11-01

    Several lines of evidence suggest that the aetio-pathogenesis of the common form of type 2 diabetes mellitus and its intrinsically related features of impaired insulin secretion and decreased insulin sensitivity (insulin resistance) includes a strong genetic component. At present, however, little is known about the nature of this genetic component although familial clustering of the disease has been described for decades. Major break-throughs in the genetic sciences of type 2 diabetes have been identifications of insulin receptor gene mutations in syndromes of severe insulin resistance and mutations in pancreatic beta-cell genes in the monogenic sub-group of type 2 diabetes: maturity-onset-diabetes-of-the-young, MODY. Pathophysiological models of insulin resistance in skeletal muscles and impaired glucose-induced insulin secretion in the beta-cells have formed a basis for selecting candidate genes with potential influence on the development of type 2 diabetes ("diabetogenes"). This process of selecting and analyzing genes for mutations that potentially associate with either type 2 diabetes mellitus, insulin resistance or impaired insulin secretion is often described as the "candidate gene approach". The studies reported in this thesis are excerpts from an extensive strategy of genetically dissecting (mutation analysis) in: 1) patients with the common form of late-onset type 2 diabetes mellitus the pathways that transduce the insulin signals from the plasma membrane to the activation of glycogen synthesis in skeletal muscle, and in 2) patients with either late-onset type diabetes or MODY the pathways involved in normal beta-cell development and beta-cell function (insulin secretion). Twelve of the genes that encode proteins in the insulin-signalling pathway from the insulin receptor through the phosphatidylinositide-regulated kinases down to the complex of phosphatases that regulate glycogen synthesis in skeletal muscle were analyzed. We could not confirm that a Val

  17. Identification of Candidate B-Lymphoma Genes by Cross-Species Gene Expression Profiling

    PubMed Central

    Tompkins, Van S.; Han, Seong-Su; Olivier, Alicia; Syrbu, Sergei; Bair, Thomas; Button, Anna; Jacobus, Laura; Wang, Zebin; Lifton, Samuel; Raychaudhuri, Pradip; Morse, Herbert C.; Weiner, George; Link, Brian; Smith, Brian J.; Janz, Siegfried

    2013-01-01

    Comparative genome-wide expression profiling of malignant tumor counterparts across the human-mouse species barrier has a successful track record as a gene discovery tool in liver, breast, lung, prostate and other cancers, but has been largely neglected in studies on neoplasms of mature B-lymphocytes such as diffuse large B cell lymphoma (DLBCL) and Burkitt lymphoma (BL). We used global gene expression profiles of DLBCL-like tumors that arose spontaneously in Myc-transgenic C57BL/6 mice as a phylogenetically conserved filter for analyzing the human DLBCL transcriptome. The human and mouse lymphomas were found to have 60 concordantly deregulated genes in common, including 8 genes that Cox hazard regression analysis associated with overall survival in a published landmark dataset of DLBCL. Genetic network analysis of the 60 genes followed by biological validation studies indicate FOXM1 as a candidate DLBCL and BL gene, supporting a number of studies contending that FOXM1 is a therapeutic target in mature B cell tumors. Our findings demonstrate the value of the “mouse filter” for genomic studies of human B-lineage neoplasms for which a vast knowledge base already exists. PMID:24130802

  18. Localization of a new autosomal dominant retinitis pigmentosa gene on chromosome 17p screeningof candidate genes

    SciTech Connect

    Greenberg, J.; Goliath, R.; Shugart, Y.Y.

    1994-09-01

    A new gene locus for autosomal dominant retinitis pigmentosa (ADRP) on 17p has been identified in a large South African (SA) family consisting of 28 living affected individuals in 4 successive generations. This is the first ADRP gene to be reported from SA. The human recoverin (RCVN) gene, which codes for a retinal-specific protein important in recovery to the dark state after visual excitation, has been mapped to 17p13.1 and was considered as a prime candidate gene for the disorder in this family. Mutation screening (using 8 different electrophoretic conditions to resolve heteroduplexes and SSCPs) did not produce any evidence of RCVN being involved in the pathogenesis of ADRP in this SA family. In addition, a mobility shift detected within exon 1 of the RCVN gene did not track with the ADRP phenotype. RP patients from 77 SA families and 30 normal individuals are being examined to establish the frequency of this polymorphism in the SA population. Highly polymorphic markers from 17p13 are now being sought in order to establish the minimum region containing this novel ADRP-SA gene. Two additional recently described retinal-expressed cDNAs, guanylyl cyclase and pigment epithelium-derived factor, which map to 17p13.1, will be tested for tight linkage to ADRP-SA.

  19. Degrees of separation as a statistical tool for evaluating candidate genes.

    PubMed

    Nelson, Ronald M; Pettersson, Mats E

    2014-12-01

    Selection of candidate genes is an important step in the exploration of complex genetic architecture. The number of gene networks available is increasing and these can provide information to help with candidate gene selection. It is currently common to use the degree of connectedness in gene networks as validation in Genome Wide Association (GWA) and Quantitative Trait Locus (QTL) mapping studies. However, it can cause misleading results if not validated properly. Here we present a method and tool for validating the gene pairs from GWA studies given the context of the network they co-occur in. It ensures that proposed interactions and gene associations are not statistical artefacts inherent to the specific gene network architecture. The CandidateBacon package provides an easy and efficient method to calculate the average degree of separation (DoS) between pairs of genes to currently available gene networks. We show how these empirical estimates of average connectedness are used to validate candidate gene pairs. Validation of interacting genes by comparing their connectedness with the average connectedness in the gene network will provide support for said interactions by utilising the growing amount of gene network information available. PMID:25450218

  20. Genetic mapping of thirteen drought tolerance candidate genes in wheat (T. aestivum)

    Technology Transfer Automated Retrieval System (TEKTRAN)

    Drought is a severe abiotic stress that affects wheat production worldwide. In order to identify candidate genes for tolerance to water stress in wheat, sequences of 11 genes that have function of drought tolerance in other plant species were used to identify the wheat ortholog genes via homology se...

  1. SNPs3D: Candidate gene and SNP selection for association studies

    PubMed Central

    Yue, Peng; Melamud, Eugene; Moult, John

    2006-01-01

    Background The relationship between disease susceptibility and genetic variation is complex, and many different types of data are relevant. We describe a web resource and database that provides and integrates as much information as possible on disease/gene relationships at the molecular level. Description The resource has three primary modules. One module identifies which genes are candidates for involvement in a specified disease. A second module provides information about the relationships between sets of candidate genes. The third module analyzes the likely impact of non-synonymous SNPs on protein function. Disease/candidate gene relationships and gene-gene relationships are derived from the literature using simple but effective text profiling. SNP/protein function relationships are derived by two methods, one using principles of protein structure and stability, the other based on sequence conservation. Entries for each gene include a number of links to other data, such as expression profiles, pathway context, mouse knockout information and papers. Gene-gene interactions are presented in an interactive graphical interface, providing rapid access to the underlying information, as well as convenient navigation through the network. Use of the resource is illustrated with aspects of the inflammatory response and hypertension. Conclusion The combination of SNP impact analysis, a knowledge based network of gene relationships and candidate genes, and access to a wide range of data and literature allow a user to quickly assimilate available information, and so develop models of gene-pathway-disease interaction. PMID:16551372

  2. Epidermal growth factor gene is a newly identified candidate gene for gout.

    PubMed

    Han, Lin; Cao, Chunwei; Jia, Zhaotong; Liu, Shiguo; Liu, Zhen; Xin, Ruosai; Wang, Can; Li, Xinde; Ren, Wei; Wang, Xuefeng; Li, Changgui

    2016-01-01

    Chromosome 4q25 has been identified as a genomic region associated with gout. However, the associations of gout with the genes in this region have not yet been confirmed. Here, we performed two-stage analysis to determine whether variations in candidate genes in the 4q25 region are associated with gout in a male Chinese Han population. We first evaluated 96 tag single nucleotide polymorphisms (SNPs) in eight inflammatory/immune pathway- or glucose/lipid metabolism-related genes in the 4q25 region in 480 male gout patients and 480 controls. The SNP rs12504538, located in the elongation of very-long-chain-fatty-acid-like family member 6 gene (Elovl6), was found to be associated with gout susceptibility (Padjusted = 0.00595). In the second stage of analysis, we performed fine mapping analysis of 93 tag SNPs in Elovl6 and in the epidermal growth factor gene (EGF) and its flanking regions in 1017 male patients gout and 1897 healthy male controls. We observed a significant association between the T allele of EGF rs2298999 and gout (odds ratio = 0.77, 95% confidence interval = 0.67-0.88, Padjusted = 6.42 × 10(-3)). These results provide the first evidence for an association between the EGF rs2298999 C/T polymorphism and gout. Our findings should be validated in additional populations. PMID:27506295

  3. Epidermal growth factor gene is a newly identified candidate gene for gout

    PubMed Central

    Han, Lin; Cao, Chunwei; Jia, Zhaotong; Liu, Shiguo; Liu, Zhen; Xin, Ruosai; Wang, Can; Li, Xinde; Ren, Wei; Wang, Xuefeng; Li, Changgui

    2016-01-01

    Chromosome 4q25 has been identified as a genomic region associated with gout. However, the associations of gout with the genes in this region have not yet been confirmed. Here, we performed two-stage analysis to determine whether variations in candidate genes in the 4q25 region are associated with gout in a male Chinese Han population. We first evaluated 96 tag single nucleotide polymorphisms (SNPs) in eight inflammatory/immune pathway- or glucose/lipid metabolism-related genes in the 4q25 region in 480 male gout patients and 480 controls. The SNP rs12504538, located in the elongation of very-long-chain-fatty-acid-like family member 6 gene (Elovl6), was found to be associated with gout susceptibility (Padjusted = 0.00595). In the second stage of analysis, we performed fine mapping analysis of 93 tag SNPs in Elovl6 and in the epidermal growth factor gene (EGF) and its flanking regions in 1017 male patients gout and 1897 healthy male controls. We observed a significant association between the T allele of EGF rs2298999 and gout (odds ratio = 0.77, 95% confidence interval = 0.67–0.88, Padjusted = 6.42 × 10−3). These results provide the first evidence for an association between the EGF rs2298999 C/T polymorphism and gout. Our findings should be validated in additional populations. PMID:27506295

  4. Alternative Gene Form Discovery and Candidate Gene Selection from Gene Indexing Projects

    PubMed Central

    Burke, John; Wang, Hui; Hide, Winston; Davison, Daniel B.

    1998-01-01

    Several efforts are under way to partition single-read expressed sequence tag (EST), as well as full-length transcript data, into large-scale gene indices, where transcripts are in common index classes if and only if they share a common progenitor gene. Accurate gene indexing facilitates gene expression studies, as well as inexpensive and early gene sequence discovery through assembly of ESTs that are derived from genes that have not been sequenced by classical methods. We extend, correct, and enhance the information obtained from index groups by splitting index classes into subclasses based on sequence dissimilarity (diversity). Two applications of this are highlighted in this report. First it is shown that our method can ameliorate the damage that artifacts, such as chimerism, inflict on index integrity. Additionally, we demonstrate how the organization imposed by an effective subpartition can greatly increase the sensitivity of gene expression studies by accounting for the existence and tissue- or pathology-specific regulation of novel gene isoforms and polymorphisms. We apply our subpartitioning treatment to the UniGene gene indexing project to measure a marked increase in information quality and abundance (in terms of assembly length and insertion/deletion error) after treatment and demonstrate cases where new levels of information concerning differential expression of alternate gene forms, such as regulated alternative splicing, are discovered. [Tables 2 and 3 can be viewed in their entirety as Online Supplements at http://www.genome.org.] PMID:9521931

  5. Gene-gene interaction between tuberculosis candidate genes in a South African population.

    PubMed

    de Wit, Erika; van der Merwe, Lize; van Helden, Paul D; Hoal, Eileen G

    2011-02-01

    In a complex disease such as tuberculosis (TB) it is increasingly evident that gene-gene interactions play a far more important role in an individual's susceptibility to develop the disease than single polymorphisms on their own, as one gene can enhance or hinder the expression of another gene. Gene-gene interaction analysis is a new approach to elucidate susceptibility to TB. The possibility of gene-gene interactions was assessed, focusing on 11 polymorphisms in nine genes (DC-SIGN, IFN-γ, IFNGR1, IL-8, IL-1Ra, MBL, NRAMP1, RANTES, and SP-D) that have been associated with TB, some repeatedly. An optimal model, which best describes and predicts TB case-control status, was constructed. Significant interactions were detected between eight pairs of variants. The models fitted the observed data extremely well, with p < 0.0001 for all eight models. A highly significant interaction was detected between INFGR1 and NRAMP1, which is not surprising because macrophage activation is greatly enhanced by IFN-γ and IFN-γ response elements that are present in the human NRAMP1 promoter region, providing further evidence for their interaction. This study enabled us to test the theory that disease outcome may be due to interaction of several gene effects. With eight instances of statistically significant gene-gene interactions, the importance of epistasis is clearly identifiable in this study. Methods for studying gene-gene interactions are based on a multilocus and multigene approach, consistent with the nature of complex-trait diseases, and may provide the paradigm for future genetic studies of TB. PMID:20799037

  6. Exploring novel candidate genes from the Mouse Genome Informatics database: Potential implications for avian migration research.

    PubMed

    Contina, Andrea; Bridge, Eli S; Kelly, Jeffrey F

    2016-07-01

    To search for genes associated with migratory phenotypes in songbirds, we selected candidate genes through annotations from the Mouse Genome Informatics database and assembled an extensive candidate-gene library. Then, we implemented a next-generation sequencing approach to obtain DNA sequences from the Painted Bunting genome. We focused on those sequences that were conserved across avian species and that aligned with candidate genes in our mouse library. We genotyped short sequence repeats from the following candidate genes: ADRA1d, ANKRD17, CISH and MYH7. We studied the possible correlations between allelic variations occurring in these novel candidate migration genes and avian migratory phenotypes available from the published literature. We found that allele variation at MYH7 correlated with a calculated index of speed of migration (km/day) across 11 species of songbirds. We highlight the potential of the Mouse Genome Informatics database in providing new candidate genes that might play a crucial role in regulating migration in birds and possibly in other taxa. Our research effort shows the benefits and limitations of working with extensive genomic datasets and offers a snapshot of the challenges related to cross-species validation in behavioral and molecular ecology studies. PMID:27061206

  7. Candidate genes for limiting cholestatic intestinal injury identified by gene expression profiling

    PubMed Central

    Alaish, Samuel M; Timmons, Jennifer; Smith, Alexis; Buzza, Marguerite S; Murphy, Ebony; Zhao, Aiping; Sun, Yezhou; Turner, Douglas J; Shea-Donahue, Terez; Antalis, Toni M; Cross, Alan; Dorsey, Susan G

    2013-01-01

    The lack of bile flow from the liver into the intestine can have devastating complications including hepatic failure, sepsis, and even death. This pathologic condition known as cholestasis can result from etiologies as diverse as total parenteral nutrition (TPN), hepatitis, and pancreatic cancer. The intestinal injury associated with cholestasis has been shown to result in decreased intestinal resistance, increased bacterial translocation, and increased endotoxemia. Anecdotal clinical evidence suggests a genetic predisposition to exaggerated injury. Recent animal research on two different strains of inbred mice demonstrating different rates of bacterial translocation with different mortality rates supports this premise. In this study, a microarray analysis of intestinal tissue following common bile duct ligation (CBDL) performed under general anesthesia on these same two strains of inbred mice was done with the goal of identifying the potential molecular mechanistic pathways responsible. Over 500 genes were increased more than 2.0-fold following CBDL. The most promising candidate genes included major urinary proteins (MUPs), serine protease-1-inhibitor (Serpina1a), and lipocalin-2 (LCN-2). Quantitative polymerase chain reaction (qPCR) validated the microarray results for these candidate genes. In an in vitro experiment using differentiated intestinal epithelial cells, inhibition of MUP-1 by siRNA resulted in increased intestinal epithelial cell permeability. Diverse novel mechanisms involving the growth hormone pathway, the acute phase response, and the innate immune response are thus potential avenues for limiting cholestatic intestinal injury. Changes in gene expression were at times found to be not only due to the CBDL but also due to the murine strain. Should further studies in cholestatic patients demonstrate interindividual variability similar to what we have shown in mice, then a “personalized medicine” approach to cholestatic patients may become

  8. Using the candidate gene approach for detecting genes underlying seed oil concentration and yield in soybean.

    PubMed

    Eskandari, Mehrzad; Cober, Elroy R; Rajcan, Istvan

    2013-07-01

    Increasing the oil concentration in soybean seeds has been given more attention in recent years because of demand for both edible oil and biodiesel production. Oil concentration in soybean is a complex quantitative trait regulated by many genes as well as environmental conditions. To identify genes governing seed oil concentration in soybean, 16 putative candidate genes of three important gene families (GPAT: acyl-CoA:sn-glycerol-3-phosphate acyltransferase, DGAT: acyl-CoA:diacylglycerol acyltransferase, and PDAT: phospholipid:diacylglycerol acyltransferase) involved in triacylglycerol (TAG) biosynthesis pathways were selected and their sequences retrieved from the soybean database ( http://www.phytozome.net/soybean ). Three sequence mutations were discovered in either coding or noncoding regions of three DGAT soybean isoforms when comparing the parents of a 203 recombinant inbreed line (RIL) population; OAC Wallace and OAC Glencoe. The RIL population was used to study the effects of these mutations on seed oil concentration and other important agronomic and seed composition traits, including seed yield and protein concentration across three field locations in Ontario, Canada, in 2009 and 2010. An insertion/deletion (indel) mutation in the GmDGAT2B gene in OAC Wallace was significantly associated with reduced seed oil concentration across three environments and reduced seed yield at Woodstock in 2010. A mutation in the 3' untranslated (3'UTR) region of GmDGAT2C was associated with seed yield at Woodstock in 2009. A mutation in the intronic region of GmDGAR1B was associated with seed yield and protein concentration at Ottawa in 2010. The genes identified in this study had minor effects on either seed yield or oil concentration, which was in agreement with the quantitative nature of the traits. However, the novel gene-specific markers designed in the present study can be used in soybean breeding for marker-assisted selection aimed at increasing seed yield and oil

  9. A Flexible Approach for Highly Multiplexed Candidate Gene Targeted Resequencing

    PubMed Central

    Natsoulis, Georges; Bell, John M.; Xu, Hua; Buenrostro, Jason D.; Ordonez, Heather; Grimes, Susan; Newburger, Daniel; Jensen, Michael; Zahn, Jacob M.; Zhang, Nancy; Ji, Hanlee P.

    2011-01-01

    We have developed an integrated strategy for targeted resequencing and analysis of gene subsets from the human exome for variants. Our capture technology is geared towards resequencing gene subsets substantially larger than can be done efficiently with simplex or multiplex PCR but smaller in scale than exome sequencing. We describe all the steps from the initial capture assay to single nucleotide variant (SNV) discovery. The capture methodology uses in-solution 80-mer oligonucleotides. To provide optimal flexibility in choosing human gene targets, we designed an in silico set of oligonucleotides, the Human OligoExome, that covers the gene exons annotated by the Consensus Coding Sequencing Project (CCDS). This resource is openly available as an Internet accessible database where one can download capture oligonucleotides sequences for any CCDS gene and design custom capture assays. Using this resource, we demonstrated the flexibility of this assay by custom designing capture assays ranging from 10 to over 100 gene targets with total capture sizes from over 100 Kilobases to nearly one Megabase. We established a method to reduce capture variability and incorporated indexing schemes to increase sample throughput. Our approach has multiple applications that include but are not limited to population targeted resequencing studies of specific gene subsets, validation of variants discovered in whole genome sequencing surveys and possible diagnostic analysis of disease gene subsets. We also present a cost analysis demonstrating its cost-effectiveness for large population studies. PMID:21738606

  10. Linkage analysis of candidate myelin genes in familial multiple sclerosis.

    PubMed

    Seboun, E; Oksenberg, J R; Rombos, A; Usuku, K; Goodkin, D E; Lincoln, R R; Wong, M; Pham-Dinh, D; Boesplug-Tanguy, O; Carsique, R; Fitoussi, R; Gartioux, C; Reyes, C; Ribierre, F; Faure, S; Fizames, C; Gyapay, G; Weissenbach, J; Dautigny, A; Rimmler, J B; Garcia, M E; Pericak-Vance, M A; Haines, J L; Hauser, S L

    1999-09-01

    Multiple sclerosis (MS) is an autoimmune demyelinating disease of the central nervous system. A complex genetic etiology is thought to underlie susceptibility to this disease. The present study was designed to analyze whether differences in genes that encode myelin proteins influence susceptibility to MS. We performed linkage analysis of MS to markers in chromosomal regions that include the genes encoding myelin basic protein (MBP), proteolipid protein (PLP), myelin-associated glycoprotein (MAG), oligodendrocyte myelin glycoprotein (OMGP), and myelin oligodendrocyte glycoprotein (MOG) in a well-characterized population of 65 multiplex MS families consisting of 399 total individuals, 169 affected with MS and 102 affected sibpairs. Physical mapping data permitted placement of MAG and PLP genes on the Genethon genetic map; all other genes were mapped on the Genethon genetic map by linkage analysis. For each gene, at least one marker within the gene and/or two tightly linked flanking markers were analyzed. Marker data analysis employed a combination of genetic trait model-dependent (parametric) and model-independent linkage methods. Results indicate that MAG, MBP, OMGP, and PLP genes do not have a significant genetic effect on susceptibility to MS in this population. As MOG resides within the MHC, a potential role of the MOG gene could not be excluded. PMID:10541588

  11. Genotype relative risks: methods for design and analysis of candidate-gene association studies.

    PubMed Central

    Schaid, D J; Sommer, S S

    1993-01-01

    Design and analysis methods are presented for studying the association of a candidate gene with a disease by using parental data in place of nonrelated controls. This alternative design eliminates spurious differences in allele frequencies between cases and nonrelated controls resulting from different ethnic origins and population stratification for these two groups. We present analysis methods which are based on two genetic relative risks: (1) the relative risk of disease for homozygotes with two copies of the candidate gene versus homozygotes without the candidate gene and (2) the relative risk for heterozygotes with one copy of the candidate gene versus homozygotes without the candidate gene. In addition to estimating the magnitude of these relative risks, likelihood methods allow specific hypotheses to be tested, namely, a test for overall association of the candidate gene with disease, as well as specific genetic hypotheses, such as dominant or recessive inheritance. Two likelihood methods are presented: (1) a likelihood method appropriate when Hardy-Weinberg equilibrium holds and (2) a likelihood method in which we condition on parental genotype data when Hardy-Weinberg equilibrium does not hold. The results for the relative efficiency of these two methods suggest that the conditional approach may at times be preferable, even when equilibrium holds. Sample-size and power calculations are presented for a multitiered design. The purpose of tier 1 is to detect the presence of an abnormal sequence for a postulated candidate gene among a small group of cases. The purpose of tier 2 is to test for association of the abnormal variant with disease, such as by the likelihood methods presented. The purpose of tier 3 is to confirm positive results from tier 2. Results indicate that required sample sizes are smaller when expression of disease is recessive, rather than dominant, and that, for recessive disease and large relative risks, necessary sample sizes may be

  12. Quantitative DNA methylation analysis of candidate genes in cervical cancer.

    PubMed

    Siegel, Erin M; Riggs, Bridget M; Delmas, Amber L; Koch, Abby; Hakam, Ardeshir; Brown, Kevin D

    2015-01-01

    Aberrant DNA methylation has been observed in cervical cancer; however, most studies have used non-quantitative approaches to measure DNA methylation. The objective of this study was to quantify methylation within a select panel of genes previously identified as targets for epigenetic silencing in cervical cancer and to identify genes with elevated methylation that can distinguish cancer from normal cervical tissues. We identified 49 women with invasive squamous cell cancer of the cervix and 22 women with normal cytology specimens. Bisulfite-modified genomic DNA was amplified and quantitative pyrosequencing completed for 10 genes (APC, CCNA, CDH1, CDH13, WIF1, TIMP3, DAPK1, RARB, FHIT, and SLIT2). A Methylation Index was calculated as the mean percent methylation across all CpG sites analyzed per gene (~4-9 CpG site) per sequence. A binary cut-point was defined at >15% methylation. Sensitivity, specificity and area under ROC curve (AUC) of methylation in individual genes or a panel was examined. The median methylation index was significantly higher in cases compared to controls in 8 genes, whereas there was no difference in median methylation for 2 genes. Compared to HPV and age, the combination of DNA methylation level of DAPK1, SLIT2, WIF1 and RARB with HPV and age significantly improved the AUC from 0.79 to 0.99 (95% CI: 0.97-1.00, p-value = 0.003). Pyrosequencing analysis confirmed that several genes are common targets for aberrant methylation in cervical cancer and DNA methylation level of four genes appears to increase specificity to identify cancer compared to HPV detection alone. Alterations in DNA methylation of specific genes in cervical cancers, such as DAPK1, RARB, WIF1, and SLIT2, may also occur early in cervical carcinogenesis and should be evaluated. PMID:25826459

  13. Quantitative DNA Methylation Analysis of Candidate Genes in Cervical Cancer

    PubMed Central

    Siegel, Erin M.; Riggs, Bridget M.; Delmas, Amber L.; Koch, Abby; Hakam, Ardeshir; Brown, Kevin D.

    2015-01-01

    Aberrant DNA methylation has been observed in cervical cancer; however, most studies have used non-quantitative approaches to measure DNA methylation. The objective of this study was to quantify methylation within a select panel of genes previously identified as targets for epigenetic silencing in cervical cancer and to identify genes with elevated methylation that can distinguish cancer from normal cervical tissues. We identified 49 women with invasive squamous cell cancer of the cervix and 22 women with normal cytology specimens. Bisulfite-modified genomic DNA was amplified and quantitative pyrosequencing completed for 10 genes (APC, CCNA, CDH1, CDH13, WIF1, TIMP3, DAPK1, RARB, FHIT, and SLIT2). A Methylation Index was calculated as the mean percent methylation across all CpG sites analyzed per gene (~4-9 CpG site) per sequence. A binary cut-point was defined at >15% methylation. Sensitivity, specificity and area under ROC curve (AUC) of methylation in individual genes or a panel was examined. The median methylation index was significantly higher in cases compared to controls in 8 genes, whereas there was no difference in median methylation for 2 genes. Compared to HPV and age, the combination of DNA methylation level of DAPK1, SLIT2, WIF1 and RARB with HPV and age significantly improved the AUC from 0.79 to 0.99 (95% CI: 0.97–1.00, p-value = 0.003). Pyrosequencing analysis confirmed that several genes are common targets for aberrant methylation in cervical cancer and DNA methylation level of four genes appears to increase specificity to identify cancer compared to HPV detection alone. Alterations in DNA methylation of specific genes in cervical cancers, such as DAPK1, RARB, WIF1, and SLIT2, may also occur early in cervical carcinogenesis and should be evaluated. PMID:25826459

  14. Analysis of Batten disease candidate genes STP and STM

    SciTech Connect

    Munroe, P.B.; Mitchison, H.M.; Gardiner, R.M.

    1995-06-05

    We have sequenced a large proportion of the open reading frames (ORFs) of two phenol sulphotransferase gene transcripts (STP and STM) from three patients with Batten disease. This was done using reverse transcription and PCR amplification of total RNA followed by direct sequencing of the PCR products. No mutations or changes have been observed in either gene after sequencing 93% of the STP ORF and 72% of the STM ORF. Work is in the progress to finish sequencing both genes which will allow the confirmation or exclusion of these phenol sulphotransferases having a role in the development of Batten disease. 11 refs., 1 fig.

  15. Isolation and characterization of the human CDX1 gene: A candidate gene for diastrophic dysplasia

    SciTech Connect

    Bonner, C.; Loftus, S.; Wasmuth, J.J.

    1994-09-01

    Diastrophic dysplasia is an autosomal recessive disorder characterized by short stature, dislocation of the joints, spinal deformities and malformation of the hands and feet. Multipoint linkage analysis places the diastrophic dysplasia (DTD) locus in 5q31-5q34. Linkage disequilibrium mapping places the DTD locus near CSFIR in the direction of PDGFRB (which is tandem to CSFIR). This same study tentatively placed PDGFRB and DTD proximal to CSFIR. Our results, as well as recently reported work from other laboratories, suggest that PDGFRB (and possibly DTD) is distal rather than proximal to CSFIR. We have constructed a cosmid contig covering approximately 200 kb of the region containing CSFIR. Several exons have been {open_quotes}trapped{close_quotes} from these cosmids using exon amplification. One of these exons was trapped from a cosmid isolated from a walk from PDGFRB, approximately 80 kb from CSFIR. This exon was sequenced and was determined to be 89% identical to the nucleotide sequence of exon two of the murine CDX1 gene (100% amino acid identity). The exon was used to isolate the human CDX gene. Sequence analysis of the human CDX1 gene indicates a very high degree of homology to the murine gene. CDX1 is a caudal type homeobox gene expressed during gastrulation. In the mouse, expression during gastrulation begins in the primitive streak and subsequently localizes to the ectodermal and mesodermal cells of the primitive streak, neural tube, somites, and limb buds. Later in gastrulation, CDX1 expression becomes most prominent in the mesoderm of the forelimbs, and, to a lesser extent, the hindlimbs. CDX1 is an intriguing candidate gene for diastrophic dysplasia. We are currently screening DNA from affected individuals and hope to shortly determine whether CDX1 is involved in this disorder.

  16. Exome Analyses of Long QT Syndrome Reveal Candidate Pathogenic Mutations in Calmodulin-Interacting Genes.

    PubMed

    Shigemizu, Daichi; Aiba, Takeshi; Nakagawa, Hidewaki; Ozaki, Kouichi; Miya, Fuyuki; Satake, Wataru; Toda, Tatsushi; Miyamoto, Yoshihiro; Fujimoto, Akihiro; Suzuki, Yutaka; Kubo, Michiaki; Tsunoda, Tatsuhiko; Shimizu, Wataru; Tanaka, Toshihiro

    2015-01-01

    Long QT syndrome (LQTS) is an arrhythmogenic disorder that can lead to sudden death. To date, mutations in 15 LQTS-susceptibility genes have been implicated. However, the genetic cause for approximately 20% of LQTS patients remains elusive. Here, we performed whole-exome sequencing analyses on 59 LQTS and 61 unaffected individuals in 35 families and 138 unrelated LQTS cases, after genetic screening of known LQTS genes. Our systematic analysis of familial cases and subsequent verification by Sanger sequencing identified 92 candidate mutations in 88 genes for 23 of the 35 families (65.7%): these included eleven de novo, five recessive (two homozygous and three compound heterozygous) and seventy-three dominant mutations. Although no novel commonly mutated gene was identified other than known LQTS genes, protein-protein interaction (PPI) network analyses revealed ten new pathogenic candidates that directly or indirectly interact with proteins encoded by known LQTS genes. Furthermore, candidate gene based association studies using an independent set of 138 unrelated LQTS cases and 587 controls identified an additional novel candidate. Together, mutations in these new candidates and known genes explained 37.1% of the LQTS families (13 in 35). Moreover, half of the newly identified candidates directly interact with calmodulin (5 in 11; comparison with all genes; p=0.042). Subsequent variant analysis in the independent set of 138 cases identified 16 variants in the 11 genes, of which 14 were in calmodulin-interacting genes (87.5%). These results suggest an important role of calmodulin and its interacting proteins in the pathogenesis of LQTS. PMID:26132555

  17. Genomic convergence: identifying candidate genes for Parkinson's disease by combining serial analysis of gene expression and genetic linkage.

    PubMed

    Hauser, Michael A; Li, Yi-Ju; Takeuchi, Satoshi; Walters, Robert; Noureddine, Maher; Maready, Melinda; Darden, Tiffany; Hulette, Christine; Martin, Eden; Hauser, Elizabeth; Xu, Hong; Schmechel, Don; Stenger, Judith E; Dietrich, Fred; Vance, Jeffery

    2003-03-15

    We present a multifactorial, multistep approach called genomic convergence that combines gene expression with genomic linkage analysis to identify and prioritize candidate susceptibility genes for Parkinson's disease (PD). To initiate this process, we used serial analysis of gene expression (SAGE) to identify genes expressed in two normal substantia nigras (SN) and adjacent midbrain tissue. This identified over 3700 transcripts, including the three most abundant SAGE tags, which did not correspond to any known genes or ESTs. We developed high-throughput bioinformatics methods to map the genes corresponding to these tags and identified 402 SN genes that lay within five large genomic linkage regions, previously identified in 174 multiplex PD families. These genes represent excellent candidates for PD susceptibility alleles and further genomic convergence and analyses. PMID:12620972

  18. A Systematic Analysis of Candidate Genes Associated with Nicotine Addiction

    PubMed Central

    Liu, Meng; Li, Xia; Fan, Rui; Liu, Xinhua; Wang, Ju

    2015-01-01

    Nicotine, as the major psychoactive component of tobacco, has broad physiological effects within the central nervous system, but our understanding of the molecular mechanism underlying its neuronal effects remains incomplete. In this study, we performed a systematic analysis on a set of nicotine addiction-related genes to explore their characteristics at network levels. We found that NAGenes tended to have a more moderate degree and weaker clustering coefficient and to be less central in the network compared to alcohol addiction-related genes or cancer genes. Further, clustering of these genes resulted in six clusters with themes in synaptic transmission, signal transduction, metabolic process, and apoptosis, which provided an intuitional view on the major molecular functions of the genes. Moreover, functional enrichment analysis revealed that neurodevelopment, neurotransmission activity, and metabolism related biological processes were involved in nicotine addiction. In summary, by analyzing the overall characteristics of the nicotine addiction related genes, this study provided valuable information for understanding the molecular mechanisms underlying nicotine addiction. PMID:26097843

  19. Mutation Burden of Rare Variants in Schizophrenia Candidate Genes

    PubMed Central

    Girard, Simon L.; Dion, Patrick A.; Bourassa, Cynthia V.; Geoffroy, Steve; Lachance-Touchette, Pamela; Barhdadi, Amina; Langlois, Mathieu; Joober, Ridha; Krebs, Marie-Odile; Dubé, Marie-Pierre; Rouleau, Guy A.

    2015-01-01

    Background Schizophrenia (SCZ) is a very heterogeneous disease that affects approximately 1% of the general population. Recently, the genetic complexity thought to underlie this condition was further supported by three independent studies that identified an increased number of damaging de novo mutations DNM in different SCZ probands. While these three reports support the implication of DNM in the pathogenesis of SCZ, the absence of overlap in the genes identified suggests that the number of genes involved in SCZ is likely to be very large; a notion that has been supported by the moderate success of Genome-Wide Association Studies (GWAS). Methods To further examine the genetic heterogeneity of this disease, we resequenced 62 genes that were found to have a DNM in SCZ patients, and 40 genes that encode for proteins known to interact with the products of the genes with DNM, in a cohort of 235 SCZ cases and 233 controls. Results We found an enrichment of private nonsense mutations amongst schizophrenia patients. Using a kernel association method, we were able to assess for association for different sets. Although our power of detection was limited, we observed an increased mutation burden in the genes that have DNM. PMID:26039597

  20. Aberrant methylation of candidate tumor suppressor genes in neuroblastoma.

    PubMed

    Hoebeeck, Jasmien; Michels, Evi; Pattyn, Filip; Combaret, Valérie; Vermeulen, Joëlle; Yigit, Nurten; Hoyoux, Claire; Laureys, Geneviève; De Paepe, Anne; Speleman, Frank; Vandesompele, Jo

    2009-01-18

    CpG island hypermethylation has been recognized as an alternative mechanism for tumor suppressor gene inactivation. In this study, we performed methylation-specific PCR (MSP) to investigate the methylation status of 10 selected tumor suppressor genes in neuroblastoma. Seven of the investigated genes (CD44, RASSF1A, CASP8, PTEN, ZMYND10, CDH1, PRDM2) showed high frequencies (> or =30%) of methylation in 33 neuroblastoma cell lines. In 42 primary neuroblastoma tumors, the frequencies of methylation were 69%, CD44; 71%, RASSF1A; 56%, CASP8; 25%, PTEN; 15%, ZMYND10; 8%, CDH1; and 0%, PRDM2. Furthermore, CASP8 and CDH1 hypermethylation was significantly associated with poor event-free survival. Meta-analysis of 115 neuroblastoma tumors demonstrated a significant correlation between CASP8 methylation and MYCN amplification. In addition, there was a correlation between ZMYND10 methylation and MYCN amplification. The MSP data, together with optimized mRNA re-expression experiments (in terms of concentration and time of treatment and use of proper reference genes) further strengthen the notion that epigenetic alterations could play a significant role in NB oncogenesis. This study thus warrants the need for a global profiling of gene promoter hypermethylation to identify genome-wide aberrantly methylated genes in order to further understand neuroblastoma pathogenesis and to identify prognostic methylation markers. PMID:18819746

  1. A Systematic Analysis of Candidate Genes Associated with Nicotine Addiction.

    PubMed

    Liu, Meng; Li, Xia; Fan, Rui; Liu, Xinhua; Wang, Ju

    2015-01-01

    Nicotine, as the major psychoactive component of tobacco, has broad physiological effects within the central nervous system, but our understanding of the molecular mechanism underlying its neuronal effects remains incomplete. In this study, we performed a systematic analysis on a set of nicotine addiction-related genes to explore their characteristics at network levels. We found that NAGenes tended to have a more moderate degree and weaker clustering coefficient and to be less central in the network compared to alcohol addiction-related genes or cancer genes. Further, clustering of these genes resulted in six clusters with themes in synaptic transmission, signal transduction, metabolic process, and apoptosis, which provided an intuitional view on the major molecular functions of the genes. Moreover, functional enrichment analysis revealed that neurodevelopment, neurotransmission activity, and metabolism related biological processes were involved in nicotine addiction. In summary, by analyzing the overall characteristics of the nicotine addiction related genes, this study provided valuable information for understanding the molecular mechanisms underlying nicotine addiction. PMID:26097843

  2. Evaluation of candidate gene effects for beef backfat via Bayesian model selection.

    PubMed

    Wu, Xiao-Lin; Macneil, Michael D; De, Sachinadan; Xiao, Qian-Jun; Michal, Jennifer J; Gaskins, Charles T; Reeves, Jerry J; Busboom, Jan R; Wright, Raymond W; Jiang, Zhihua

    2005-09-01

    Candidate gene approaches provide tools for exploring and localizing causative genes affecting quantitative traits and the underlying variation may be better understood by determining the relative magnitudes of effects of their polymorphisms. Diacyglycerol O-acyltransferase 1 (DGAT1), fatty acid binding protein (heart) 3 (FABP3), growth hormone 1 (GH1), leptin (LEP) and thyroglobulin (TG) have been previously identified as genes contributing to genetic control of subcutaneous fat thickness (SFT) in beef cattle. In the present research, Bayesian model selection was used to evaluate effects of these five candidate genes by comparing competing non-nested models and treating candidate gene effects as either random or fixed. The analyses were implemented in SAS to simplify the programming and computation. Phenotypic data were gathered from a F(2) population of Wagyu x Limousin cattle. The five candidate genes had significant but varied effects on SFT in this population. Bayesian model selection identified the DGAT1 model as the one with the greatest model probability, whether candidate gene effects were considered random or fixed, and DGAT1 had the greatest additive effect on SFT. The SAS codes developed in the study are freely available and can be downloaded at: http://www.ansci.wsu.edu/programs/. PMID:16175458

  3. Evaluating the ovarian cancer gonadotropin hypothesis: A candidate gene study

    PubMed Central

    Lee, Alice W.; Tyrer, Jonathan P.; Doherty, Jennifer A.; Stram, Douglas A.; Kupryjanczyk, Jolanta; Dansonka-Mieszkowska, Agnieszka; Plisiecka-Halasa, Joanna; Spiewankiewicz, Beata; Myers, Emily J.; Chenevix-Trench, Georgia; Fasching, Peter A.; Beckmann, Matthias W.; Ekici, Arif B.; Hein, Alexander; Vergote, Ignace; Van Nieuwenhuysen, Els; Lambrechts, Diether; Wicklund, Kristine G.; Eilber, Ursula; Wang-Gohrke, Shan; Chang-Claude, Jenny; Rudolph, Anja; Sucheston-Campbell, Lara; Odunsi, Kunle; Moysich, Kirsten B.; Shvetsov, Yurii B.; Thompson, Pamela J.; Goodman, Marc T.; Wilkens, Lynne R.; Dörk, Thilo; Hillemanns, Peter; Dürst, Matthias; Runnebaum, Ingo B.; Bogdanova, Natalia; Pelttari, Liisa M.; Nevanlinna, Heli; Leminen, Arto; Edwards, Robert P.; Kelley, Joseph L.; Harter, Philipp; Schwaab, Ira; Heitz, Florian; du Bois, Andreas; Orsulic, Sandra; Lester, Jenny; Walsh, Christine; Karlan, Beth Y.; Hogdall, Estrid; Kjaer, Susanne K.; Jensen, Allan; Vierkant, Robert A.; Cunningham, Julie M.; Goode, Ellen L.; Fridley, Brooke L.; Southey, Melissa C.; Giles, Graham G.; Bruinsma, Fiona; Wu, Xifeng; Hildebrandt, Michelle A.T.; Lu, Karen; Liang, Dong; Bisogna, Maria; Levine, Douglas A.; Weber, Rachel Palmieri; Schildkraut, Joellen M.; Iversen, Edwin S.; Berchuck, Andrew; Terry, Kathryn L.; Cramer, Daniel W.; Tworoger, Shelley S.; Poole, Elizabeth M.; Olson, Sara H.; Orlow, Irene; Bandera, Elisa V.; Bjorge, Line; Tangen, Ingvild L.; Salvesen, Helga B.; Krakstad, Camilla; Massuger, Leon F.A.G.; Kiemeney, Lambertus A.; Aben, Katja K.H.; van Altena, Anne M.; Bean, Yukie; Pejovic, Tanja; Kellar, Melissa; Le, Nhu D.; Cook, Linda S.; Kelemen, Linda E.; Brooks-Wilson, Angela; Lubinski, Jan; Gronwald, Jacek; Cybulski, Cezary; Jakubowska, Anna; Wentzensen, Nicolas; Brinton, Louise A.; Lissowska, Jolanta; Yang, Hannah; Nedergaard, Lotte; Lundvall, Lene; Hogdall, Claus; Song, Honglin; Campbell, Ian G.; Eccles, Diana; Glasspool, Rosalind; Siddiqui, Nadeem; Carty, Karen; Paul, James; McNeish, Iain A.; Sieh, Weiva; McGuire, Valerie; Rothstein, Joseph H.; Whittemore, Alice S.; McLaughlin, John R.; Risch, Harvey A.; Phelan, Catherine M.; Anton-Culver, Hoda; Ziogas, Argyrios; Menon, Usha; Ramus, Susan J.; Gentry-Maharaj, Aleksandra; Harrington, Patricia; Pike, Malcolm C.; Modugno, Francesmary; Rossing, Mary Anne; Ness, Roberta B.; Pharoah, Paul D.P.; Stram, Daniel O.; Wu, Anna H.; Pearce, Celeste Leigh

    2016-01-01

    Objective Ovarian cancer is a hormone-related disease with a strong genetic basis. However, none of its high-penetrance susceptibility genes and GWAS-identified variants to date are known to be involved in hormonal pathways. Given the hypothesized etiologic role of gonadotropins, an assessment of how variability in genes involved in the gonadotropin signaling pathway impacts disease risk is warranted. Methods Genetic data from 41 ovarian cancer study sites were pooled and unconditional logistic regression was used to evaluate whether any of the 2185 SNPs from 11 gonadotropin signaling pathway genes was associated with ovarian cancer risk. A burden test using the admixture likelihood (AML) method was also used to evaluate gene-level associations. Results We did not find any genome-wide significant associations between individual SNPs and ovarian cancer risk. However, there was some suggestion of gene-level associations for four gonadotropin signaling pathway genes: INHBB (p = 0.045, mucinous), LHCGR (p = 0.046, high-grade serous), GNRH (p = 0.041, high-grade serous), and FSHB (p = 0.036, overall invasive). There was also suggestive evidence for INHA (p = 0.060, overall invasive). Conclusions Ovarian cancer studies have limited sample numbers, thus fewer genome-wide susceptibility alleles, with only modest associations, have been identified relative to breast and prostate cancers. We have evaluated the majority of ovarian cancer studies with biological samples, to our knowledge, leaving no opportunity for replication. Using both our understanding of biology and powerful gene-level tests, we have identified four putative ovarian cancer loci near INHBB, LHCGR, GNRH, and FSHB that warrant a second look if larger sample sizes and denser genotype chips become available. PMID:25528498

  4. Transcriptome network analysis reveals potential candidate genes for squamous lung cancer.

    PubMed

    Bai, Jing; Hu, Sheng

    2012-01-01

    Squamous lung cancer is a common type of lung cancer; however, its mechanism of oncogenesis is still unknown. The aim of this study was to screen candidate genes of squamous lung cancer using a bioinformatics strategy and elucidate the mechanism of squamous lung cancer. Published microarray data of the GSE3268 series was obtained from Gene Expression Omnibus (GEO). Significance analysis of microarrays was performed using the software R, and differentially expressed genes by R analysis were harvested. The relationship between transcription factors and target genes in cancer were collected from the Transcriptional regulatory element database. A transcriptome network analysis method was used to construct gene regulation networks and select the candidate genes for squamous lung cancer. SPI1, FLI1, FOS, ETS2, EGR1 and PPARG were defined as candidate genes for squamous lung cancer by the transcriptome network analysis method. Among them, 5 genes had been reported to be involved in lung cancer, except SPI1 and FLI1. Effective recall on previous knowledge conferred strong confidence in these methods. It is demonstrated that transcriptome network analysis is useful in the identification of candidate genes in disease. PMID:21922129

  5. Parallel bacterial evolution within multiple patients identifies candidate pathogenicity genes

    PubMed Central

    Lieberman, Tami D.; Michel, Jean-Baptiste; Aingaran, Mythili; Potter-Bynoe, Gail; Roux, Damien; Davis, Michael R.; Skurnik, David; Leiby, Nicholas; LiPuma, John J.; Goldberg, Joanna B.; McAdam, Alexander J.; Priebe, Gregory P.; Kishony, Roy

    2011-01-01

    Bacterial pathogens evolve during the infection of their human hosts1-8, but separating adaptive and neutral mutations remains challenging9-11. Here, we identify bacterial genes under adaptive evolution by tracking recurrent patterns of mutations in the same pathogenic strain during the infection of multiple patients. We conducted a retrospective study of a Burkholderia dolosa outbreak among people with cystic fibrosis, sequencing the genomes of 112 isolates collected from 14 individuals over 16 years. We find that 17 bacterial genes acquired non-synonymous mutations in multiple individuals, which indicates parallel adaptive evolution. Mutations in these genes illuminate the genetic basis of important pathogenic phenotypes, including antibiotic resistance and bacterial membrane composition, and implicate oxygen-dependent gene regulation as paramount in lung infections. Several genes have not been previously implicated in pathogenesis, suggesting new therapeutic targets. The identification of parallel molecular evolution suggests key selection forces acting on pathogens within humans and can help predict and prepare for their future evolutionary course. PMID:22081229

  6. Gene-gene interactions among genetic variants from obesity candidate genes for nonobese and obese populations in type 2 diabetes.

    PubMed

    Lin, Eugene; Pei, Dee; Huang, Yi-Jen; Hsieh, Chang-Hsun; Wu, Lawrence Shih-Hsin

    2009-08-01

    Recent studies indicate that obesity may play a key role in modulating genetic predispositions to type 2 diabetes (T2D). This study examines the main effects of both single-locus and multilocus interactions among genetic variants in Taiwanese obese and nonobese individuals to test the hypothesis that obesity-related genes may contribute to the etiology of T2D independently and/or through such complex interactions. We genotyped 11 single nucleotide polymorphisms for 10 obesity candidate genes including adrenergic beta-2-receptor surface, adrenergic beta-3-receptor surface, angiotensinogen, fat mass and obesity associated gene, guanine nucleotide binding protein beta polypeptide 3 (GNB3), interleukin 6 receptor, proprotein convertase subtilisin/kexin type 1 (PCSK1), uncoupling protein 1, uncoupling protein 2, and uncoupling protein 3. There were 389 patients diagnosed with T2D and 186 age- and sex-matched controls. Single-locus analyses showed significant main effects of the GNB3 and PCSK1 genes on the risk of T2D among the nonobese group (p = 0.002 and 0.047, respectively). Further, interactions involving GNB3 and PCSK1 were suggested among the nonobese population using the generalized multifactor dimensionality reduction method (p = 0.001). In addition, interactions among angiotensinogen, fat mass and obesity associated gene, GNB3, and uncoupling protein 3 genes were found in a significant four-locus generalized multifactor dimensionality reduction model among the obese population (p = 0.001). The results suggest that the single nucleotide polymorphisms from the obesity candidate genes may contribute to the risk of T2D independently and/or in an interactive manner according to the presence or absence of obesity. PMID:19594364

  7. Mapping and candidate genes associated with saccharification yield in sorghum

    Technology Transfer Automated Retrieval System (TEKTRAN)

    Sorghum [Sorghum bicolor (L.) Moench] is a potentially high-yielding hardy energy crop to produce lignocellulosic biofuels. Saccharification is a process by which hydrolytic enzymes break down lignocellulosic materials to fermentable sugars for biofuel production. Mapping and identifying genes und...

  8. Candidate gene analysis: severe intraventricular hemorrhage in inborn preterm neonates.

    PubMed

    Adén, Ulrika; Lin, Aiping; Carlo, Waldemar; Leviton, Alan; Murray, Jeffrey C; Hallman, Mikko; Lifton, Richard P; Zhang, Heping; Ment, Laura R

    2013-11-01

    Intraventricular hemorrhage (IVH) is a disorder of complex etiology. We analyzed genotypes for 7 genes from 224 inborn preterm neonates treated with antenatal steroids and grade 3-4 IVH and 389 matched controls. Only methylenetetrahydrofolate reductase was more prevalent in cases of IVH, emphasizing the need for more comprehensive genetic strategies. PMID:23896193

  9. A Candidate Gene for Aphid Resistance in Wheat

    Technology Transfer Automated Retrieval System (TEKTRAN)

    The greenbug, Schizaphis graminum (Rondani), is an important aphid pest of small grain crops in many parts of the world. A single dominant gene, Gb3 originated from Aegilops tauschii has shown consistent and durable resistance against prevailing greenbug biotypes in wheat fields. Previously, we mapp...

  10. Identification of Candidate Genes in Rice for Resistance to Sheath Blight Disease by Whole Genome Sequencing

    Technology Transfer Automated Retrieval System (TEKTRAN)

    Recent advances in whole genome sequencing have allowed identification of genes for disease susceptibility in humans. The objective of our research was to exploit whole genome sequences of 13 rice (Oryza sativa L.) inbred lines to identify non-synonymous SNPs (nsSNPs) and candidate genes for resista...

  11. Identification of candidate genes encoding an LDL-C QTL in baboons[S

    PubMed Central

    Karere, Genesio M.; Glenn, Jeremy P.; Birnbaum, Shifra; Hafizi, Sussan; Rainwater, David L.; Mahaney, Michael C.; VandeBerg, John L.; Cox, Laura A.

    2013-01-01

    Cardiovascular disease (CVD) is the leading cause of death in developed countries, and dyslipidemia is a major risk factor for CVD. We previously identified a cluster of quantitative trait loci (QTL) on baboon chromosome 11 for multiple, related quantitative traits for serum LDL-cholesterol (LDL-C). Here we report differentially regulated hepatic genes encoding an LDL-C QTL that influences LDL-C levels in baboons. We performed hepatic whole-genome expression profiling for LDL-C-discordant baboons fed a high-cholesterol, high-fat (HCHF) diet for seven weeks. We detected expression of 117 genes within the QTL 2-LOD support interval. Three genes were differentially expressed in low LDL-C responders and 8 in high LDL-C responders in response to a HCHF diet. Seven genes (ACVR1B, CALCOCO1, DGKA, ERBB3, KRT73, MYL6B, TENC1) showed discordant expression between low and high LDL-C responders. To prioritize candidate genes, we integrated miRNA and mRNA expression profiles using network tools and found that four candidates (ACVR1B, DGKA, ERBB3, TENC1) were miRNA targets and that the miRNAs were inversely expressed to the target genes. Candidate gene expression was validated using QRT-PCR and Western blotting. This study reveals candidate genes that influence variation in LDL-C in baboons and potential genetic mechanisms for further investigation. PMID:23596326

  12. Mapping of Candidate Genes Involved in Bud Dormancy and Flowering Time in Sweet Cherry (Prunus avium)

    PubMed Central

    Le Dantec, Loïck; Quero-García, José; Barreneche, Teresa; Wenden, Bénédicte; Dirlewanger, Elisabeth

    2015-01-01

    The timing of flowering in perennial plants is crucial for their survival in temperate climates and is regulated by the duration of bud dormancy. Bud dormancy release and bud break depend on the perception of cumulative chilling during endodormancy and heat during the bud development. The objectives of this work were to identify candidate genes involved in dormancy and flowering processes in sweet cherry, their mapping in two mapping progenies ‘Regina’ × ‘Garnet’ and ‘Regina’ × ‘Lapins’, and to select those candidate genes which co-localized with quantitative trait loci (QTLs) associated with temperature requirements for bud dormancy release and flowering. Based on available data on flowering processes in various species, a list of 79 candidate genes was established. The peach and sweet cherry orthologs were identified and primers were designed to amplify sweet cherry candidate gene fragments. Based on the amplified sequences of the three parents of the mapping progenies, SNPs segregations in the progenies were identified. Thirty five candidate genes were genetically mapped in at least one of the two progenies and all were in silico mapped. Co-localization between candidate genes and QTLs associated with temperature requirements and flowering date were identified for the first time in sweet cherry. The allelic composition of the candidate genes located in the major QTL for heat requirements and flowering date located on linkage group 4 have a significant effect on these two traits indicating their potential use for breeding programs in sweet cherry to select new varieties adapted to putative future climatic conditions. PMID:26587668

  13. Mapping of Candidate Genes Involved in Bud Dormancy and Flowering Time in Sweet Cherry (Prunus avium).

    PubMed

    Castède, Sophie; Campoy, José Antonio; Le Dantec, Loïck; Quero-García, José; Barreneche, Teresa; Wenden, Bénédicte; Dirlewanger, Elisabeth

    2015-01-01

    The timing of flowering in perennial plants is crucial for their survival in temperate climates and is regulated by the duration of bud dormancy. Bud dormancy release and bud break depend on the perception of cumulative chilling during endodormancy and heat during the bud development. The objectives of this work were to identify candidate genes involved in dormancy and flowering processes in sweet cherry, their mapping in two mapping progenies 'Regina' × 'Garnet' and 'Regina' × 'Lapins', and to select those candidate genes which co-localized with quantitative trait loci (QTLs) associated with temperature requirements for bud dormancy release and flowering. Based on available data on flowering processes in various species, a list of 79 candidate genes was established. The peach and sweet cherry orthologs were identified and primers were designed to amplify sweet cherry candidate gene fragments. Based on the amplified sequences of the three parents of the mapping progenies, SNPs segregations in the progenies were identified. Thirty five candidate genes were genetically mapped in at least one of the two progenies and all were in silico mapped. Co-localization between candidate genes and QTLs associated with temperature requirements and flowering date were identified for the first time in sweet cherry. The allelic composition of the candidate genes located in the major QTL for heat requirements and flowering date located on linkage group 4 have a significant effect on these two traits indicating their potential use for breeding programs in sweet cherry to select new varieties adapted to putative future climatic conditions. PMID:26587668

  14. Genotype relative risks: Methods for design and analysis of candidate-gene association studies

    SciTech Connect

    Shaid, D.J.; Sommer, S.S. )

    1993-11-01

    Design and analysis methods are presented for studying the association of a candidate gene with a disease by using parental data in place of nonrelated controls. This alternating design eliminates spurious differences in allele frequencies between cases and nonrelated controls resulting from different ethnic origins and population stratification for these two groups. The authors present analysis methods which are based on two genetic relative risks: (1) the relative risk of disease for homozygotes with two copies of the candidate gene versus homozygotes without the candidate gene and (2) the relative risk for heterozygotes with one copy of the candidate gene versus homozygotes without the candidate gene. In addition to estimating the magnitude of these relative risks, likelihood methods allow specific hypotheses to be tested, namely, a test for overall association of the candidate gene with disease, as well as specific genetic hypotheses, such as dominant or recessive inheritance. Two likelihood methods are presented: (1) a likelihood method appropriate when Hardy-Weinberg equilibrium holds and (2) a likelihood method in which the authors condition on parental genotype data when Hardy-Weinberg equilibrium does not hold. The results for the relative efficiency of these two methods suggest that the conditional approach may at times be preferable, even when equilibrium holds. Sample-size and power calculations are presented for a multitiered design. Tier 1 detects the presence of an abnormal sequence for a postulated candidate gene among a small group of cases. Tier 2 tests for association of the abnormal variant with disease, such as by the likelihood methods presented. Tier 3 confirms positive results from tier 2. Results indicate that required sample sizes are smaller when expression of disease is recessive, rather than dominant, and that, for recessive disease and large relative risks, necessary sample sizes may be feasible. 19 refs., 2 figs., 2 tabs.

  15. Characterisation of five candidate genes within the ETEC F4ab/ac candidate region in pigs

    PubMed Central

    2011-01-01

    Background Enterotoxigenic Escherichia coli (ETEC) that express the F4ab and F4ac fimbriae is a major contributor to diarrhoea outbreaks in the pig breeding industry, infecting both newborn and weaned piglets. Some pigs are resistant to this infection, and susceptibility is inherited as a simple dominant Mendelian trait. Indentifying the genetics behind this trait will greatly benefit pig welfare as well as the pig breeding industry by providing an opportunity to select against genetically susceptible animals, thereby reducing the number of diarrhoea outbreaks. The trait has recently been mapped by haplotype sharing to a 2.5 Mb region on pig chromosome 13, a region containing 18 annotated genes. Findings The coding regions of five candidate genes for susceptibility to ETEC F4ab/ac infection (TFRC, ACK1, MUC20, MUC4 and KIAA0226), all located in the 2.5 Mb region, were investigated for the presence of possible causative mutations. A total of 34 polymorphisms were identified in either coding regions or their flanking introns. The genotyping data for two of those were found to perfectly match the genotypes at the ETEC F4ab/ac locus, a G to C polymorphism in intron 11 of TFRC and a C to T silent polymorphism in exon 22 of KIAA0226. Transcriptional profiles of the five genes were investigated in a porcine tissue panel including various intestinal tissues. All five genes were expressed in intestinal tissues at different levels but none of the genes were found differentially expressed between ETEC F4ab/ac resistant and ETEC F4ab/ac susceptible animals in any of the tested tissues. Conclusions None of the identified polymorphisms are obvious causative mutations for ETEC F4ab/ac susceptibility, as they have no impact on the level of the overall mRNA expression nor predicted to influence the composition of the amino acids composition. However, we cannot exclude that the five tested genes are bona fide candidate genes for susceptibility to ETEC F4ab/ac infection since the

  16. A putative greigite-type magnetosome gene cluster from the candidate phylum Latescibacteria.

    PubMed

    Lin, Wei; Pan, Yongxin

    2015-04-01

    The intracellular biomineralization of magnetite and/or greigite magnetosomes in magnetotactic bacteria (MTB) is strictly controlled by a group of conserved genes, termed magnetosome genes, which are organized as clusters (or islands) in MTB genomes. So far, all reported MTB are affiliated within the Proteobacteria phylum, the Nitrospirae phylum and the candidate division OP3. Here, we report the discovery of a putative magnetosome gene cluster structure from the draft genome of an uncultivated bacterium belonging to the candidate phylum Latescibacteria (formerly candidate division WS3) recently recovered by Rinke and colleagues, which contains 10 genes with homology to magnetosome mam genes of magnetotactic Proteobacteria and Nitrospirae. Moreover, these genes are phylogenetically closely related to greigite-type magnetosome genes that were only found from the Deltaproteobacteria MTB before, suggesting that the greigite genes may originate earlier than previously imagined. These findings indicate that some members of Latescibacteria may be capable of forming greigite magnetosomes, and thus may play previously unrecognized roles in environmental iron and sulfur cycles. The conserved genomic structure of magnetosome gene cluster in Latescibacteria phylum supports the hypothesis of horizontal transfer of these genes among distantly related bacterial groups in nature. PMID:25382584

  17. Parkinson's disease candidate gene prioritization based on expression profile of midbrain dopaminergic neurons

    PubMed Central

    2010-01-01

    Background Parkinson's disease is the second most common neurodegenerative disorder. The pathological hallmark of the disease is degeneration of midbrain dopaminergic neurons. Genetic association studies have linked 13 human chromosomal loci to Parkinson's disease. Identification of gene(s), as part of the etiology of Parkinson's disease, within the large number of genes residing in these loci can be achieved through several approaches, including screening methods, and considering appropriate criteria. Since several of the indentified Parkinson's disease genes are expressed in substantia nigra pars compact of the midbrain, expression within the neurons of this area could be a suitable criterion to limit the number of candidates and identify PD genes. Methods In this work we have used the combination of findings from six rodent transcriptome analysis studies on the gene expression profile of midbrain dopaminergic neurons and the PARK loci in OMIM (Online Mendelian Inheritance in Man) database, to identify new candidate genes for Parkinson's disease. Results Merging the two datasets, we identified 20 genes within PARK loci, 7 of which are located in an orphan Parkinson's disease locus and one, which had been identified as a disease gene. In addition to identifying a set of candidates for further genetic association studies, these results show that the criteria of expression in midbrain dopaminergic neurons may be used to narrow down the number of genes in PARK loci for such studies. PMID:20716345

  18. Candidate Gene Analysis of Mortality in Dialysis Patients

    PubMed Central

    Verschuren, Jeffrey J. W.; Dekker, Friedo W.; Rabelink, Ton J.; Jukema, J. Wouter; Rotmans, Joris I.

    2015-01-01

    Background Dialysis patients have high cardiovascular mortality risk. This study aimed to investigate the association between SNPs of genes involved in vascular processes and mortality in dialysis patients. Methods Forty two SNPs in 25 genes involved in endothelial function, vascular remodeling, cell proliferation, inflammation, coagulation and calcium/phosphate metabolism were genotyped in 1330 incident dialysis patients. The effect of SNPs on 5-years cardiovascular and non-cardiovascular mortality was investigated. Results The mortality rate was 114/1000 person-years and 49.4% of total mortality was cardiovascular. After correction for multiple testing, VEGF rs699947 was associated with all-cause mortality (HR1.48, 95% CI 1.14–1.92). The other SNPs were not associated with mortality. Conclusions This study provides further evidence that a SNP in the VEGF gene may contribute to the comorbid conditions of dialysis patients. Future studies should unravel the underlying mechanisms responsible for the increase in mortality in these patients. PMID:26587841

  19. Identifying Novel Candidate Genes Related to Apoptosis from a Protein-Protein Interaction Network

    PubMed Central

    Wang, Baoman; Yuan, Fei; Kong, Xiangyin; Hu, Lan-Dian; Cai, Yu-Dong

    2015-01-01

    Apoptosis is the process of programmed cell death (PCD) that occurs in multicellular organisms. This process of normal cell death is required to maintain the balance of homeostasis. In addition, some diseases, such as obesity, cancer, and neurodegenerative diseases, can be cured through apoptosis, which produces few side effects. An effective comprehension of the mechanisms underlying apoptosis will be helpful to prevent and treat some diseases. The identification of genes related to apoptosis is essential to uncover its underlying mechanisms. In this study, a computational method was proposed to identify novel candidate genes related to apoptosis. First, protein-protein interaction information was used to construct a weighted graph. Second, a shortest path algorithm was applied to the graph to search for new candidate genes. Finally, the obtained genes were filtered by a permutation test. As a result, 26 genes were obtained, and we discuss their likelihood of being novel apoptosis-related genes by collecting evidence from published literature. PMID:26543496

  20. Allele diversity for abiotic stress responsive candidate genes in chickpea reference set using gene based SNP markers

    PubMed Central

    Roorkiwal, Manish; Nayak, Spurthi N.; Thudi, Mahendar; Upadhyaya, Hari D.; Brunel, Dominique; Mournet, Pierre; This, Dominique; Sharma, Prakash C.; Varshney, Rajeev K.

    2014-01-01

    Chickpea is an important food legume crop for the semi-arid regions, however, its productivity is adversely affected by various biotic and abiotic stresses. Identification of candidate genes associated with abiotic stress response will help breeding efforts aiming to enhance its productivity. With this objective, 10 abiotic stress responsive candidate genes were selected on the basis of prior knowledge of this complex trait. These 10 genes were subjected to allele specific sequencing across a chickpea reference set comprising 300 genotypes including 211 genotypes of chickpea mini core collection. A total of 1.3 Mbp sequence data were generated. Multiple sequence alignment (MSA) revealed 79 SNPs and 41 indels in nine genes while the CAP2 gene was found to be conserved across all the genotypes. Among 10 candidate genes, the maximum number of SNPs (34) was observed in abscisic acid stress and ripening (ASR) gene including 22 transitions, 11 transversions and one tri-allelic SNP. Nucleotide diversity varied from 0.0004 to 0.0029 while polymorphism information content (PIC) values ranged from 0.01 (AKIN gene) to 0.43 (CAP2 promoter). Haplotype analysis revealed that alleles were represented by more than two haplotype blocks, except alleles of the CAP2 and sucrose synthase (SuSy) gene, where only one haplotype was identified. These genes can be used for association analysis and if validated, may be useful for enhancing abiotic stress, including drought tolerance, through molecular breeding. PMID:24926299

  1. Genetic region characterization (Gene RECQuest) - software to assist in identification and selection of candidate genes from genomic regions

    PubMed Central

    Sadasivam, Rajani S; Sundar, Gayathri; Vaughan, Laura K; Tanik, Murat M; Arnett, Donna K

    2009-01-01

    Background The availability of research platforms like the web tools of the National Center for Biotechnology Information (NCBI) has transformed the time-consuming task of identifying candidate genes from genetic studies to an interactive process where data from a variety of sources are obtained to select likely genes for follow-up. This process presents its own set of challenges, as the genetic researcher has to interact with several tools in a time-intensive, manual, and cumbersome manner. We developed a method and implemented an effective software system to address these challenges by multidisciplinary efforts of professional software developers with domain experts. The method presented in this paper, Gene RECQuest, simplifies the interaction with existing research platforms through the use of advanced integration technologies. Findings Gene RECQuest is a web-based application that assists in the identification of candidate genes from linkage and association studies using information from Online Mendelian Inheritance in Man (OMIM) and PubMed. To illustrate the utility of Gene RECQuest we used it to identify genes physically located within a linkage region as potential candidate genes for a quantitative trait locus (QTL) for very low density lipoprotein (VLDL) response on chromosome 18. Conclusion Gene RECQuest provides a tool which enables researchers to easily identify and organize literature supporting their own expertise and make informed decisions. It is important to note that Gene RECQuest is a data acquisition and organization software, and not a data analysis method. PMID:19793396

  2. Bioinformatics-Based Identification of Candidate Genes from QTLs Associated with Cell Wall Traits in Populus

    SciTech Connect

    Ranjan, Priya; Yin, Tongming; Zhang, Xinye; Kalluri, Udaya C; Yang, Xiaohan; Jawdy, Sara; Tuskan, Gerald A

    2009-11-01

    Quantitative trait locus (QTL) studies are an integral part of plant research and are used to characterize the genetic basis of phenotypic variation observed in structured populations and inform marker-assisted breeding efforts. These QTL intervals can span large physical regions on a chromosome comprising hundreds of genes, thereby hampering candidate gene identification. Genome history, evolution, and expression evidence can be used to narrow the genes in the interval to a smaller list that is manageable for detailed downstream functional genomics characterization. Our primary motivation for the present study was to address the need for a research methodology that identifies candidate genes within a broad QTL interval. Here we present a bioinformatics-based approach for subdividing candidate genes within QTL intervals into alternate groups of high probability candidates. Application of this approach in the context of studying cell wall traits, specifically lignin content and S/G ratios of stem and root in Populus plants, resulted in manageable sets of genes of both known and putative cell wall biosynthetic function. These results provide a roadmap for future experimental work leading to identification of new genes controlling cell wall recalcitrance and, ultimately, in the utility of plant biomass as an energy feedstock.

  3. Gene Duplication and Gene Expression Changes Play a Role in the Evolution of Candidate Pollen Feeding Genes in Heliconius Butterflies.

    PubMed

    Smith, Gilbert; Macias-Muñoz, Aide; Briscoe, Adriana D

    2016-01-01

    Heliconius possess a unique ability among butterflies to feed on pollen. Pollen feeding significantly extends their lifespan, and is thought to have been important to the diversification of the genus. We used RNA sequencing to examine feeding-related gene expression in the mouthparts of four species of Heliconius and one nonpollen feeding species, Eueides isabella We hypothesized that genes involved in morphology and protein metabolism might be upregulated in Heliconius because they have longer proboscides than Eueides, and because pollen contains more protein than nectar. Using de novo transcriptome assemblies, we tested these hypotheses by comparing gene expression in mouthparts against antennae and legs. We first looked for genes upregulated in mouthparts across all five species and discovered several hundred genes, many of which had functional annotations involving metabolism of proteins (cocoonase), lipids, and carbohydrates. We then looked specifically within Heliconius where we found eleven common upregulated genes with roles in morphology (CPR cuticle proteins), behavior (takeout-like), and metabolism (luciferase-like). Closer examination of these candidates revealed that cocoonase underwent several duplications along the lineage leading to heliconiine butterflies, including two Heliconius-specific duplications. Luciferase-like genes also underwent duplication within lepidopterans, and upregulation in Heliconius mouthparts. Reverse-transcription PCR confirmed that three cocoonases, a peptidase, and one luciferase-like gene are expressed in the proboscis with little to no expression in labial palps and salivary glands. Our results suggest pollen feeding, like other dietary specializations, was likely facilitated by adaptive expansions of preexisting genes-and that the butterfly proboscis is involved in digestive enzyme production. PMID:27553646

  4. Integrating genes and phenotype: a wheat-Arabidopsis-rice glycosyltransferase database for candidate gene analyses.

    PubMed

    Sado, Pierre-Etienne; Tessier, Dominique; Vasseur, Marc; Elmorjani, Khalil; Guillon, Fabienne; Saulnier, Luc

    2009-02-01

    Glycosyltransferases (GTs) constitute a very large multi-gene superfamily, containing several thousand members identified in sequenced organisms especially in plants. GTs are key enzymes involved in various biological processes such as cell wall formation, storage polysaccharides biosynthesis, and glycosylation of various metabolites. GTs have been identified in rice (Oryza sativa) and Arabidopsis thaliana, but their precise function has been demonstrated biochemically for only a few. In this work we have established a repertoire of virtually all the wheat (Triticum aestivum) GT sequences, using the large publicly available banks of expressed sequences. Based on sequence similarity with Arabidopsis and rice GTs compiled in the carbohydrate active enzyme database (CAZY), we have identified and classified these wheat sequences. The results were used to feed a searchable database available on the web ( http://wwwappli.nantes.inra.fr:8180/GTIDB ) that can be used for initiating an exhaustive candidate gene survey in wheat applied to a particular biological process. This is illustrated through the identification of GT families which are expressed during cell wall formation in wheat grain maturation. PMID:19005709

  5. Quantitative expression of candidate genes affecting eggshell color.

    PubMed

    Zheng, Chuanwei; Li, Zesheng; Yang, Ning; Ning, Zhonghua

    2014-05-01

    There are three pigments that affect the color of an eggshell: protoporphyrin, biliverdin and biliverdin-zinc chelate. Protoporphyrin is the main pigment in brown and light-brown eggshells, whereas very little protoporphyrin is found in white eggshells. Eggshell protoporphyrin is derived from the heme formation in birds. Coproporphyrinogen III oxidase (CPOX) and ferrochelatase (FECH) represent rate-limiting enzymes for the heme-biosynthetic pathway. Breast cancer resistance protein (BCRP), feline leukemia virus receptor (FLVCR), and heme-responsive gene-1 (HRG1) serve as primary transporters for both protoporphyrinogen and heme. Finally, four organic anion transporting polypeptide family members (including solute carrier organic anion transporter family, SLCO1C1, SLCO1A2, SLCO1B3 and LOC418189) may affect pigment transport within eggshells. Here we measured gene expression levels in key tissues of egg-producing hens. We analyzed three different types of hens that generated distinct eggshell colors: white, pink or brown. Our data revealed three ways in which eggshell color was genetically influenced. First, high-level expression of CPOX generated more protoporphyrinogen and a brown eggshell color. In contrast, high expression of FECH likely converted more protoporphyrinogen into heme, reduced protoporphyrinogen levels within the eggshell and generated a light color. Second, heme transporters also affected eggshell color. High-level expression of BCRP, HRG1 and FLVCR were associated with brown, white and generally lighter eggshell colors, respectively. Finally, protoporphyrin precipitation also affected eggshell color, as high expression of both SLCO1A2 and SLCO1C1 were associated with brown eggshell color. As such, we have identified seven genes in which expression levels in different tissues were associated with eggshell color. PMID:24612318

  6. Characterization of a candidate tumor suppressor gene on chromosome 3

    SciTech Connect

    Daly, M.C.; Xiang, R.H.; Hensel, C.H.

    1994-09-01

    Small cell lung cancer (SCLC) tumors frequently display deletions on the short arm of chromosome 3 suggesting the existence of a tumor suppressor gene(s) within that region. The hybrid, HA(3)BB9F, contains a small fragment of human chromosome 3(p22-p21) in mouse A9 cells and is suppressed for tumor formation. Further we have identified a SCLC cell line, NCI H740, that bears a homozygous deletion involving the loss of 6 markers that map to the region 3p21.3-p21.2 and all but one are located within the 3p fragment exhibiting properties of tumor suppression in the HA(3)BB9F hybrid. A homozygous deletion overlapping found in NCI H740 has been identified in a Dutch SCLC cell line. To define the extent of the deletion in NCI H740, we have constructed a YAC and P1 contig spanning 2 Mb. The order of markers within the contig is as follows: -D8-(1,2)-D3S1235-ALU5-ALU342-ALU6-DDI-(3,4)-GNAI2. An SstII fragment corresponding to a CpG island from P1 170 was used to isolate 5 overlapping cDNA clones. These clones detect both DNA rearrangements and altered expression patterns in a proportion of SCLC cell lines. SSCP analysis is being used to identify mutations in those SCLC cell lines which express the gene as assessed by both Northern and RT-PCR analyses. As functional evidence is final proof for tumor suppressor activity, the P1 clones and cDNA have been transfected into a mouse fibrosarcoma (A9) and a human SCLC cell line. A9 transfectants containing the P1 170 clone exhibit both altered morphology and a high frequency of apoptosis when compared to the non-transfected A9 cells. Stable transfectants will be injected into nude mice to assess the ability of the P1 clones to suppress tumorigenesis in vivo.

  7. Gene Duplication and Gene Expression Changes Play a Role in the Evolution of Candidate Pollen Feeding Genes in Heliconius Butterflies

    PubMed Central

    Smith, Gilbert; Macias-Muñoz, Aide; Briscoe, Adriana D.

    2016-01-01

    Heliconius possess a unique ability among butterflies to feed on pollen. Pollen feeding significantly extends their lifespan, and is thought to have been important to the diversification of the genus. We used RNA sequencing to examine feeding-related gene expression in the mouthparts of four species of Heliconius and one nonpollen feeding species, Eueides isabella. We hypothesized that genes involved in morphology and protein metabolism might be upregulated in Heliconius because they have longer proboscides than Eueides, and because pollen contains more protein than nectar. Using de novo transcriptome assemblies, we tested these hypotheses by comparing gene expression in mouthparts against antennae and legs. We first looked for genes upregulated in mouthparts across all five species and discovered several hundred genes, many of which had functional annotations involving metabolism of proteins (cocoonase), lipids, and carbohydrates. We then looked specifically within Heliconius where we found eleven common upregulated genes with roles in morphology (CPR cuticle proteins), behavior (takeout-like), and metabolism (luciferase-like). Closer examination of these candidates revealed that cocoonase underwent several duplications along the lineage leading to heliconiine butterflies, including two Heliconius-specific duplications. Luciferase-like genes also underwent duplication within lepidopterans, and upregulation in Heliconius mouthparts. Reverse-transcription PCR confirmed that three cocoonases, a peptidase, and one luciferase-like gene are expressed in the proboscis with little to no expression in labial palps and salivary glands. Our results suggest pollen feeding, like other dietary specializations, was likely facilitated by adaptive expansions of preexisting genes—and that the butterfly proboscis is involved in digestive enzyme production. PMID:27553646

  8. Candidate gene loci in asthmatic and allergic inflammation.

    PubMed Central

    Wilkinson, J.; Holgate, S. T.

    1996-01-01

    New techniques for scanning the human genome promise great advances in tracking the origins of disorders caused by multiple genes. However, it is clear from the studies presented in this overview that we are far from understanding the genetic basis of asthma and atopy and their interaction with the environment. It is also clear that agreement must be reached on definition of the phenotype and methods of ascertainment in order to carry out large multicentre collaborative studies. Positive findings need to be validated in different populations selected for the presence of the disease and then confirmed in a random population where the prevalence of asthma and atopy will also be expected to be significant. PMID:8658365

  9. Development of New Candidate Gene and EST-Based Molecular Markers for Gossypium Species.

    PubMed

    Buyyarapu, Ramesh; Kantety, Ramesh V; Yu, John Z; Saha, Sukumar; Sharma, Govind C

    2011-01-01

    New source of molecular markers accelerate the efforts in improving cotton fiber traits and aid in developing high-density integrated genetic maps. We developed new markers based on candidate genes and G. arboreum EST sequences that were used for polymorphism detection followed by genetic and physical mapping. Nineteen gene-based markers were surveyed for polymorphism detection in 26 Gossypium species. Cluster analysis generated a phylogenetic tree with four major sub-clusters for 23 species while three species branched out individually. CAP method enhanced the rate of polymorphism of candidate gene-based markers between G. hirsutum and G. barbadense. Two hundred A-genome based SSR markers were designed after datamining of G. arboreum EST sequences (Mississippi Gossypium arboreum  EST-SSR: MGAES). Over 70% of MGAES markers successfully produced amplicons while 65 of them demonstrated polymorphism between the parents of G. hirsutum and G. barbadense RIL population and formed 14 linkage groups. Chromosomal localization of both candidate gene-based and MGAES markers was assisted by euploid and hypoaneuploid CS-B analysis. Gene-based and MGAES markers were highly informative as they were designed from candidate genes and fiber transcriptome with a potential to be integrated into the existing cotton genetic and physical maps. PMID:22315588

  10. Development of New Candidate Gene and EST-Based Molecular Markers for Gossypium Species

    PubMed Central

    Buyyarapu, Ramesh; Kantety, Ramesh V.; Yu, John Z.; Saha, Sukumar; Sharma, Govind C.

    2011-01-01

    New source of molecular markers accelerate the efforts in improving cotton fiber traits and aid in developing high-density integrated genetic maps. We developed new markers based on candidate genes and G. arboreum EST sequences that were used for polymorphism detection followed by genetic and physical mapping. Nineteen gene-based markers were surveyed for polymorphism detection in 26 Gossypium species. Cluster analysis generated a phylogenetic tree with four major sub-clusters for 23 species while three species branched out individually. CAP method enhanced the rate of polymorphism of candidate gene-based markers between G. hirsutum and G. barbadense. Two hundred A-genome based SSR markers were designed after datamining of G. arboreum EST sequences (Mississippi Gossypium arboreum  EST-SSR: MGAES). Over 70% of MGAES markers successfully produced amplicons while 65 of them demonstrated polymorphism between the parents of G. hirsutum and G. barbadense RIL population and formed 14 linkage groups. Chromosomal localization of both candidate gene-based and MGAES markers was assisted by euploid and hypoaneuploid CS-B analysis. Gene-based and MGAES markers were highly informative as they were designed from candidate genes and fiber transcriptome with a potential to be integrated into the existing cotton genetic and physical maps. PMID:22315588

  11. High-throughput analysis of candidate imprinted genes and allele-specific gene expression in the human term placenta

    PubMed Central

    2010-01-01

    Background Imprinted genes show expression from one parental allele only and are important for development and behaviour. This extreme mode of allelic imbalance has been described for approximately 56 human genes. Imprinting status is often disrupted in cancer and dysmorphic syndromes. More subtle variation of gene expression, that is not parent-of-origin specific, termed 'allele-specific gene expression' (ASE) is more common and may give rise to milder phenotypic differences. Using two allele-specific high-throughput technologies alongside bioinformatics predictions, normal term human placenta was screened to find new imprinted genes and to ascertain the extent of ASE in this tissue. Results Twenty-three family trios of placental cDNA, placental genomic DNA (gDNA) and gDNA from both parents were tested for 130 candidate genes with the Sequenom MassArray system. Six genes were found differentially expressed but none imprinted. The Illumina ASE BeadArray platform was then used to test 1536 SNPs in 932 genes. The array was enriched for the human orthologues of 124 mouse candidate genes from bioinformatics predictions and 10 human candidate imprinted genes from EST database mining. After quality control pruning, a total of 261 informative SNPs (214 genes) remained for analysis. Imprinting with maternal expression was demonstrated for the lymphocyte imprinted gene ZNF331 in human placenta. Two potential differentially methylated regions (DMRs) were found in the vicinity of ZNF331. None of the bioinformatically predicted candidates tested showed imprinting except for a skewed allelic expression in a parent-specific manner observed for PHACTR2, a neighbour of the imprinted PLAGL1 gene. ASE was detected for two or more individuals in 39 candidate genes (18%). Conclusions Both Sequenom and Illumina assays were sensitive enough to study imprinting and strong allelic bias. Previous bioinformatics approaches were not predictive of new imprinted genes in the human term

  12. The Landscape of Candidate Driver Genes Differs between Male and Female Breast Cancer

    PubMed Central

    Johansson, Ida; Ringnér, Markus; Hedenfalk, Ingrid

    2013-01-01

    The rapidly growing collection of diverse genome-scale data from multiple tumor types sheds light on various aspects of the underlying tumor biology. With the objective to identify genes of importance for breast tumorigenesis in men and to enable comparisons with genes important for breast cancer development in women, we applied the computational framework COpy Number and EXpression In Cancer (CONEXIC) to detect candidate driver genes among all altered passenger genes. Unique to this approach is that each driver gene is associated with several gene modules that are believed to be altered by the driver. Thirty candidate drivers were found in the male breast cancers and 67 in the female breast cancers. We identified many known drivers of breast cancer and other types of cancer, in the female dataset (e.g. GATA3, CCNE1, GRB7, CDK4). In contrast, only three known cancer genes were found among male breast cancers; MAP2K4, LHP, and ZNF217. Many of the candidate drivers identified are known to be involved in processes associated with tumorigenesis, including proliferation, invasion and differentiation. One of the modules identified in male breast cancer was regulated by THY1, a gene involved in invasion and related to epithelial-mesenchymal transition. Furthermore, men with THY1 positive breast cancers had significantly inferior survival. THY1 may thus be a promising novel prognostic marker for male breast cancer. Another module identified among male breast cancers, regulated by SPAG5, was closely associated with proliferation. Our data indicate that male and female breast cancers display highly different landscapes of candidate driver genes, as only a few genes were found in common between the two. Consequently, the pathobiology of male breast cancer may differ from that of female breast cancer and can be associated with differences in prognosis; men diagnosed with breast cancer may consequently require different management and treatment strategies than women. PMID

  13. Candidate gene polymorphisms and risk of psoriasis: A pilot study

    PubMed Central

    VILLARREAL-MARTÍNEZ, ALEJANDRA; GALLARDO-BLANCO, HUGO; CERDA-FLORES, RICARDO; TORRES-MUÑOZ, IRIS; GÓMEZ-FLORES, MINERVA; SALAS-ALANÍS, JULIO; OCAMPO-CANDIANI, JORGE; MARTÍNEZ-GARZA, LAURA

    2016-01-01

    Psoriasis is a complex genetic disease, which has previously been associated with numerous single nucleotide polymorphisms (SNPs) that are implicated in various processes, including skin barrier functions and in the regulation of inflammatory and immune responses. The present study aimed to investigate the genotypic and allelic frequencies of 32 SNPs at 24 genetic loci, and their association with psoriasis in a Mexican population. These SNPs, which were associated with psoriasis in previous studies, included the following genes: Major histocompatibility complex class I-C (HLA-C), interleukin (IL)-12B, IL-23R, IL-23A, IL-28RA, tumor necrosis factor (TNF)-α, ring finger protein-114 (RNF114), cyclin-dependent kinase 5 regulatory subunit-associated protein 1-like 1, late cornified envelope 3B/3C, signal transducer and activator of transcription 4, LINC01185, interferon induced with helicase C domain 1, IL-13, TNF-α-induced protein 3 (TNFAIP3), TNFAIP3 interacting protein 1, endoplasmic reticulum aminopeptidase 1, TNF receptor-associated factor interacting protein 2, Leptin, nuclear factor of kappa light polypeptide gene enhancer in B-cells inhibitor-alpha, F-box and leucine-rich repeat protein 19, nitric oxide synthase 2, cluster of differentiation 40, nuclear receptor coactivator 5, and ADAM metallopeptidase domain 33. A total of 32 male and 14 female subjects with a clinical diagnosis of chronic plaque psoriasis, as well as 103 control subjects, were analyzed. Molecular analyses were performed using TaqMan® assays in a TaqMan® OpenArray® Genotyping system. Results were analyzed using the Golden Helix SNP and Variation Suite 7 program. Of the 32 SNPs, six were associated with an increased risk of developing psoriasis, including: HLA-C rs10484554 [allele T: odds ratio (OR) 3.51], IL-12B rs3212227 (allele T: OR 1.88), IL-12B rs3213094 (allele C: OR 1.94), HLA complex group 27 rs1265181 (allele C: OR 2.83), annexin A6 rs17728338 (allele A: OR 2.41), and RNF114 rs

  14. Nested Patch PCR enables highly multiplexed mutation discovery in candidate genes

    PubMed Central

    Varley, Katherine Elena; Mitra, Robi David

    2008-01-01

    Medical resequencing of candidate genes in individual patient samples is becoming increasingly important in the clinic and in clinical research. Medical resequencing requires the amplification and sequencing of many candidate genes in many patient samples. Here we introduce Nested Patch PCR, a novel method for highly multiplexed PCR that is very specific, can sensitively detect SNPs and mutations, and is easy to implement. This is the first method that couples multiplex PCR with sample-specific DNA barcodes and next-generation sequencing to enable highly multiplex mutation discovery in candidate genes for multiple samples in parallel. In our pilot study, we amplified exons from colon cancer and matched normal human genomic DNA. From each sample, we successfully amplified 96% (90 of 94) targeted exons from across the genome, totaling 21.6 kbp of sequence. Ninety percent of all sequencing reads were from targeted exons, demonstrating that Nested Patch PCR is highly specific. We found that the abundance of reads per exon was reproducible across samples. We reliably detected germline SNPs and discovered a colon tumor specific nonsense mutation in APC, a gene causally implicated in colorectal cancer. With Nested Patch PCR, candidate gene mutation discovery across multiple individual patient samples can now utilize the power of second-generation sequencing. PMID:18849522

  15. In silico identification of genetically attenuated vaccine candidate genes for Plasmodium liver stage.

    PubMed

    Kumar, Hirdesh; Frischknecht, Friedrich; Mair, Gunnar R; Gomes, James

    2015-12-01

    Genetically attenuated parasites (GAPs) that lack genes essential for the liver stage of the malaria parasite, and therefore cause developmental arrest, have been developed as live vaccines in rodent malaria models and recently been tested in humans. The genes targeted for deletion were often identified by trial and error. Here we present a systematic gene - protein and transcript - expression analyses of several Plasmodium species with the aim to identify candidate genes for the generation of novel GAPs. With a lack of liver stage expression data for human malaria parasites, we used data available for liver stage development of Plasmodium yoelii, a rodent malaria model, to identify proteins expressed in the liver stage but absent from blood stage parasites. An orthology-based search was then employed to identify orthologous proteins in the human malaria parasite Plasmodium falciparum resulting in a total of 310 genes expressed in the liver stage but lacking evidence of protein expression in blood stage parasites. Among these 310 possible GAP candidates, we further studied Plasmodium liver stage proteins by phyletic distribution and functional domain analyses and shortlisted twenty GAP-candidates; these are: fabB/F, fabI, arp, 3 genes encoding subunits of the PDH complex, dnaJ, urm1, rS5, ancp, mcp, arh, gk, lisp2, valS, palm, and four conserved Plasmodium proteins of unknown function. Parasites lacking one or several of these genes might yield new attenuated malaria parasites for experimental vaccination studies. PMID:26348884

  16. Identification of candidate cancer-causing genes in mouse brain tumors by retroviral tagging

    PubMed Central

    Johansson, Fredrik K.; Brodd, Josefin; Eklöf, Charlotta; Ferletta, Maria; Hesselager, Göran; Tiger, Carl-Fredrik; Uhrbom, Lene; Westermark, Bengt

    2004-01-01

    Murine retroviruses may cause malignant tumors in mice by insertional mutagenesis of host genes. The use of retroviral tagging as a means of identifying cancer-causing genes has, however, almost entirely been restricted to hematopoietic tumors. The aim of this study was to develop a system allowing for the retroviral tagging of candidate genes in malignant brain tumors. Mouse gliomas were induced by a recombinant Moloney murine leukemia virus encoding platelet-derived growth factor (PDGF) B-chain. The underlying idea was that tumors evolve through a combination of PDGF-mediated autocrine growth stimulation and insertional mutagenesis of genes that cooperate with PDGF in gliomagenesis. Common insertion sites (loci that were tagged in more than one tumor) were identified by cloning and sequencing retroviral flanking segments, followed by blast searches of mouse genome databases. A number of candidate brain tumor loci (Btls) were identified. Several of these Btls correspond to known tumor-causing genes; these findings strongly support the underlying idea of our experimental approach. Other Btls harbor genes with a hitherto unproven role in transformation or oncogenesis. Our findings indicate that retroviral tagging with a growth factor-encoding virus may be a powerful means of identifying candidate tumor-causing genes in nonhematopoietic tumors. PMID:15273287

  17. Identification of candidate cancer-causing genes in mouse brain tumors by retroviral tagging.

    PubMed

    Johansson, Fredrik K; Brodd, Josefin; Eklöf, Charlotta; Ferletta, Maria; Hesselager, Göran; Tiger, Carl-Fredrik; Uhrbom, Lene; Westermark, Bengt

    2004-08-01

    Murine retroviruses may cause malignant tumors in mice by insertional mutagenesis of host genes. The use of retroviral tagging as a means of identifying cancer-causing genes has, however, almost entirely been restricted to hematopoietic tumors. The aim of this study was to develop a system allowing for the retroviral tagging of candidate genes in malignant brain tumors. Mouse gliomas were induced by a recombinant Moloney murine leukemia virus encoding platelet-derived growth factor (PDGF) B-chain. The underlying idea was that tumors evolve through a combination of PDGF-mediated autocrine growth stimulation and insertional mutagenesis of genes that cooperate with PDGF in gliomagenesis. Common insertion sites (loci that were tagged in more than one tumor) were identified by cloning and sequencing retroviral flanking segments, followed by blast searches of mouse genome databases. A number of candidate brain tumor loci (Btls) were identified. Several of these Btls correspond to known tumor-causing genes; these findings strongly support the underlying idea of our experimental approach. Other Btls harbor genes with a hitherto unproven role in transformation or oncogenesis. Our findings indicate that retroviral tagging with a growth factor-encoding virus may be a powerful means of identifying candidate tumor-causing genes in nonhematopoietic tumors. PMID:15273287

  18. Functional Annotation and Identification of Candidate Disease Genes by Computational Analysis of Normal Tissue Gene Expression Data

    PubMed Central

    Miozzi, Laura; Piro, Rosario Michael; Rosa, Fabio; Ala, Ugo; Silengo, Lorenzo; Di Cunto, Ferdinando; Provero, Paolo

    2008-01-01

    Background High-throughput gene expression data can predict gene function through the “guilt by association” principle: coexpressed genes are likely to be functionally associated. Methodology/Principal Findings We analyzed publicly available expression data on normal human tissues. The analysis is based on the integration of data obtained with two experimental platforms (microarrays and SAGE) and of various measures of dissimilarity between expression profiles. The building blocks of the procedure are the Ranked Coexpression Groups (RCG), small sets of tightly coexpressed genes which are analyzed in terms of functional annotation. Functionally characterized RCGs are selected by means of the majority rule and used to predict new functional annotations. Functionally characterized RCGs are enriched in groups of genes associated to similar phenotypes. We exploit this fact to find new candidate disease genes for many OMIM phenotypes of unknown molecular origin. Conclusions/Significance We predict new functional annotations for many human genes, showing that the integration of different data sets and coexpression measures significantly improves the scope of the results. Combining gene expression data, functional annotation and known phenotype-gene associations we provide candidate genes for several genetic diseases of unknown molecular basis. PMID:18560577

  19. A SYSTEMATIC ASSESSMENT OF LINKING GENE EXPRESSION WITH GENETIC VARIANTS FOR PRIORITIZING CANDIDATE TARGETS

    PubMed Central

    FAN-MINOGUE, HUA; CHEN, BIN; SIKORA-WOHLFELD, WERONIKA; SIROTA, MARINA; BUTTE, ATUL J

    2014-01-01

    Gene expression and disease-associated variants are often used to prioritize candidate genes for target validation. However, the success of these gene features alone or in combination in the discovery of therapeutic targets is uncertain. Here we evaluated the effectiveness of the differential expression (DE), the disease-associated single nucleotide polymorphisms (SNPs) and the combination of the two in recovering and predicting known therapeutic targets across 56 human diseases. We demonstrate that the performance of each feature varies across diseases and generally the features have more recovery power than predictive power. The combination of the two features, however, has significantly higher predictive power than each feature alone. Our study provides a systematic evaluation of two common gene features, DE and SNPs, for prioritization of candidate targets and identified an improved predictive power of coupling these two features. PMID:25592598

  20. 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

  1. Whole genome approaches to identify early meiotic gene candidates in cereals.

    PubMed

    Bovill, William D; Deveshwar, Priyanka; Kapoor, Sanjay; Able, Jason A

    2009-05-01

    Early events during meiotic prophase I underpin not only viability but the variation of a species from generation to generation. Understanding and manipulating processes such as chromosome pairing and recombination are integral for improving plant breeding. This study uses comparative genetics, quantitative trait locus (QTL) analysis and a transcriptomics-based approach to identify genes that might have a role in genome-wide recombination control. Comparative genetics and the analysis of the yeast and Arabidopsis sequenced genomes has allowed the identification of early meiotic candidates that are conserved in wheat, rice and barley. Secondly, scoring recombination frequency as a phenotype for QTL analysis across wheat, rice and barley mapping populations has enabled us to identify genomic regions and candidate genes that could be involved in genome-wide recombination. Transcriptome data for candidate genes indicate that they are expressed in meiotic tissues. Candidates identified included a non-annotated expressed protein, a DNA topoisomerase 2-like candidate, RecG, RuvB and RAD54 homologues. PMID:18836753

  2. Validation of Candidate Causal Genes for Abdominal Obesity Which Affect Shared Metabolic Pathways and Networks

    PubMed Central

    Yang, Xia; Deignan, Joshua L.; Qi, Hongxiu; Zhu, Jun; Qian, Su; Zhong, Judy; Torosyan, Gevork; Majid, Sana; Falkard, Brie; Kleinhanz, Robert R.; Karlsson, Jenny; Castellani, Lawrence W.; Mumick, Sheena; Wang, Kai; Xie, Tao; Coon, Michael; Zhang, Chunsheng; Estrada-Smith, Daria; Farber, Charles R.; Wang, Susanna S.; Van Nas, Atila; Ghazalpour, Anatole; Zhang, Bin; MacNeil, Douglas J.; Lamb, John R.; Dipple, Katrina M.; Reitman, Marc L.; Mehrabian, Margarete; Lum, Pek Y.; Schadt, Eric E.; Lusis, Aldons J.

    2010-01-01

    A major task in dissecting the genetics of complex traits is to identify causal genes for disease phenotypes. We previously developed a method to infer causal relationships among genes through the integration of DNA variation, gene transcription, and phenotypic information. Here we validated our method through the characterization of transgenic and knockout mouse models of candidate genes that were predicted to be causal for abdominal obesity. Perturbation of eight out of the nine genes, with Gas7, Me1 and Gpx3 being novel, resulted in significant changes in obesity related traits. Liver expression signatures revealed alterations in common metabolic pathways and networks contributing to abdominal obesity and overlapped with a macrophage-enriched metabolic network module that is highly associated with metabolic traits in mice and humans. Integration of gene expression in the design and analysis of traditional F2 intercross studies allows high confidence prediction of causal genes and identification of involved pathways and networks. PMID:19270708

  3. Mapping regulatory genes as candidates for cold and drought stress tolerance in barley.

    PubMed

    Tondelli, A; Francia, E; Barabaschi, D; Aprile, A; Skinner, J S; Stockinger, E J; Stanca, A M; Pecchioni, N

    2006-02-01

    Cereal crop yield is greatly affected in many growing areas by abiotic stresses, mainly low temperature and drought. In order to find candidates for the tolerance genes for these stresses, 13 genes encoding for transcription factors and upstream regulators were screened by amplification and SSCP on six parental genotypes of three barley mapping populations ('Nure' x 'Tremois', 'Proctor' x 'Nudinka', and 'Steptoe' x 'Morex'), and mapped as newly developed STS, SNP, and SSCP markers. A new consensus function map was then drawn using the three maps above, including 16 regulatory candidate genes (CGs). The positions of barley cold and drought tolerance quantitative trait loci (QTLs) presently described in the literature were added to the consensus map to find positional candidates from among the mapped genes. A cluster of six HvCBF genes co-mapped with the Fr-H2 cold tolerance QTL, while no QTLs for the same trait were positioned on chromosome 7H, where two putative barley regulators of CBF expression, ICE1 and FRY1, found by homology search, were mapped in this work. These observations suggest that CBF gene(s) themselves, rather than their two regulators, are at present the best candidates for cold tolerance. Four out of 12 drought tolerance QTLs of the consensus map are associated with regulatory CGs, on chromosomes 2H, 5H, and 7H, and two QTLs with effector genes, on chromosomes 5H and 6H. The results obtained could be used to guide MAS applications, allowing introduction into an ideal genotype of favourable alleles of tolerance QTLs. PMID:16315028

  4. Isolation and characterization of candidate genes of the 5q13 region in spinal muscular atrophy

    SciTech Connect

    Lefebvre, S.; Reboullet, S.; Benichou, B.

    1994-09-01

    Based on a fine genetic and physical map of the region deleted in spinal muscular atrophy, we defined the smallest rearrangements encompassing the SMA gene. This interval is entirely contained in the 903D1 YAC clone. Several approaches to identify candidate genes were applied, including the search for interspecies conservation, exon trapping amplification and direct cDNA selection. Combining these strategies, six different cDNA molecules mapping to the YAC contig were isolated. Four cDNA molecules were isolated using the exon trapping system. They map to chromosome 5p and to more than one locus within the 5q13 region. They are homologous to each other and share sequence homology with the {beta}-glucuronidase gene. Based on interspecies conservation, a fifth candidate gene was identified. Sequence analyses of the cDNAs revealed no homologies with any other described genes. This gene mapped to two loci within the 5q13 region. Two other cDNA molecules isolated by direct cDNA selection are also under investigation. Complete characterization and fine physical mapping of those genes with respect to the physical interval defined by the deletions of the SMA region will allow the identification of the disease gene (or genes).

  5. SRGAP1 Is a Candidate Gene for Papillary Thyroid Carcinoma Susceptibility

    PubMed Central

    He, Huiling; Bronisz, Agnieszka; Liyanarachchi, Sandya; Nagy, Rebecca; Li, Wei; Huang, Yungui; Akagi, Keiko; Saji, Motoyasu; Kula, Dorota; Wojcicka, Anna; Sebastian, Nikhil; Wen, Bernard; Puch, Zbigniew; Kalemba, Michal; Stachlewska, Elzbieta; Czetwertynska, Malgorzata; Dlugosinska, Joanna; Dymecka, Kinga; Ploski, Rafal; Krawczyk, Marek; Morrison, Patrick J.; Ringel, Matthew D.; Kloos, Richard T.; Jazdzewski, Krystian; Symer, David E.; Vieland, Veronica J.; Ostrowski, Michael; Jarząb, Barbara

    2013-01-01

    Background: Papillary thyroid carcinoma (PTC) shows high heritability, yet efforts to find predisposing genes have been largely negative. Objectives: The objective of this study was to identify susceptibility genes for PTC. Methods: A genome-wide linkage analysis was performed in 38 families. Targeted association study and screening were performed in 2 large cohorts of PTC patients and controls. Candidate DNA variants were tested in functional studies. Results: Linkage analysis and association studies identified the Slit-Robo Rho GTPase activating protein 1 gene (SRGAP1) in the linkage peak as a candidate gene. Two missense variants, Q149H and A275T, localized in the Fes/CIP4 homology domain segregated with the disease in 1 family each. One missense variant, R617C, located in the RhoGAP domain occurred in 1 family. Biochemical assays demonstrated that the ability to inactivate CDC42, a key function of SRGAP1, was severely impaired by the Q149H and R617C variants. Conclusions: Our findings suggest that SRGAP1 is a candidate gene in PTC susceptibility. SRGAP1 is likely a low-penetrant gene, possibly of a modifier type. PMID:23539728

  6. Genome-Wide Association Analyses Point to Candidate Genes for Electric Shock Avoidance in Drosophila melanogaster

    PubMed Central

    Appel, Mirjam; Scholz, Claus-Jürgen; Müller, Tobias; Dittrich, Marcus; König, Christian; Bockstaller, Marie; Oguz, Tuba; Khalili, Afshin; Antwi-Adjei, Emmanuel; Schauer, Tamas; Margulies, Carla; Tanimoto, Hiromu; Yarali, Ayse

    2015-01-01

    Electric shock is a common stimulus for nociception-research and the most widely used reinforcement in aversive associative learning experiments. Yet, nothing is known about the mechanisms it recruits at the periphery. To help fill this gap, we undertook a genome-wide association analysis using 38 inbred Drosophila melanogaster strains, which avoided shock to varying extents. We identified 514 genes whose expression levels and/ or sequences co-varied with shock avoidance scores. We independently scrutinized 14 of these genes using mutants, validating the effect of 7 of them on shock avoidance. This emphasizes the value of our candidate gene list as a guide for follow-up research. In addition, by integrating our association results with external protein-protein interaction data we obtained a shock avoidance-associated network of 38 genes. Both this network and the original candidate list contained a substantial number of genes that affect mechanosensory bristles, which are hair-like organs distributed across the fly’s body. These results may point to a potential role for mechanosensory bristles in shock sensation. Thus, we not only provide a first list of candidate genes for shock avoidance, but also point to an interesting new hypothesis on nociceptive mechanisms. PMID:25992709

  7. Mining for Candidate Genes Related to Pancreatic Cancer Using Protein-Protein Interactions and a Shortest Path Approach

    PubMed Central

    Yuan, Fei; Zhang, Yu-Hang; Wan, Sibao; Wang, ShaoPeng; Kong, Xiang-Yin

    2015-01-01

    Pancreatic cancer (PC) is a highly malignant tumor derived from pancreas tissue and is one of the leading causes of death from cancer. Its molecular mechanism has been partially revealed by validating its oncogenes and tumor suppressor genes; however, the available data remain insufficient for medical workers to design effective treatments. Large-scale identification of PC-related genes can promote studies on PC. In this study, we propose a computational method for mining new candidate PC-related genes. A large network was constructed using protein-protein interaction information, and a shortest path approach was applied to mine new candidate genes based on validated PC-related genes. In addition, a permutation test was adopted to further select key candidate genes. Finally, for all discovered candidate genes, the likelihood that the genes are novel PC-related genes is discussed based on their currently known functions. PMID:26613085

  8. A Candidate Gene Analysis of Methylphenidate Response in Attention-Deficit/Hyperactivity Disorder

    ERIC Educational Resources Information Center

    McGough, James J.; McCracken, James T.; Loo, Sandra K.; Manganiello, Marc; Leung, Michael C.; Tietjens, Jeremy R.; Trinh, Thao; Baweja, Shilpa; Suddath, Robert; Smalley, Susan L.; Hellemann, Gerhard; Sugar, Catherine A.

    2009-01-01

    Objective: This study examines the potential role of candidate genes in moderating treatment effects of methylphenidate (MPH) in attention-deficit/hyperactivity disorder (ADHD). Method: Eighty-two subjects with ADHD aged 6 to 17 years participated in a prospective, double-blind, placebo-controlled, multiple-dose, crossover titration trial of…

  9. Mapping and expression of candidate genes for development rate in rainbow trout (Oncorhynchus mykiss)

    Technology Transfer Automated Retrieval System (TEKTRAN)

    Development rate has important implications for many aspects of an individual's biology. In rainbow trout (Oncorhynchus mykiss), a major QTL for embryonic development rate has been detected on chromosome 5, but at present, few candidate genes have been mapped to this region. This paucity of known ge...

  10. Candidate gene association mapping for winter survival and spring regrowth in perennial ryegrass

    Technology Transfer Automated Retrieval System (TEKTRAN)

    Perennial ryegrass (Lolium perenne L.) is a widely cultivated cool-season grass species because of its high quality for forage and turf. Susceptibility to freezing damage limits its further use in temperate zones. The objective of this study was to identify candidate genes significantly associated w...

  11. A search for candidate genes affecting late heading to orchardgrass/cocksfoot (Dactylis glomerata L.)

    Technology Transfer Automated Retrieval System (TEKTRAN)

    Orchardgrass (Dactylis glomerata L.) is indigenous to Eurasia and northern Africa, but has been naturalized on nearly every continent. Despite its distribution and uses, there is a need for improved late flowering germplasm for use in North American mixed pastures. Many candidate genes affecting h...

  12. Candidate fire blight resistance genes in Malus identified with the use of genomic tools and approaches

    Technology Transfer Automated Retrieval System (TEKTRAN)

    The goal of this research is to utilize current advances in Rosaceae genomics to identify DNA markers for use in marker-assisted selection of durable resistance to fire blight. Candidate fire blight resistance genes were selected and ranked based upon differential expression after inoculation with ...

  13. Development of new candidate gene and EST-based molecular markers for Gossypium species

    Technology Transfer Automated Retrieval System (TEKTRAN)

    New source of molecular markers accelerates the efforts in improving cotton fiber traits and aid in developing high-density integrated genetic maps. We developed new markers based on candidate genes and G. arboreum expressed sequence tag (EST) sequences, and validated them through amplification, ge...

  14. Population Stratification in the Candidate Gene Study: Fatal Threat or Red Herring?

    ERIC Educational Resources Information Center

    Hutchison, Kent E.; Stallings, Michael; McGeary, John; Bryan, Angela

    2004-01-01

    Advances in molecular genetics have provided behavioral scientists with a means of investigating the influence of genetic factors on human behavior. Unfortunately, recent candidate gene studies have produced inconsistent results, and a frequent scapegoat for the lack of replication across studies is the threat of population stratification. This…

  15. SEQUENCING OF CUCUMBER (CUCUMIS SATIVUS L.) CHLOROPLAST GENOMES IDENTIFIES PUTATIVE CANDIDATE GENES FOR CHILLING TOLERANCE

    Technology Transfer Automated Retrieval System (TEKTRAN)

    Chilling injury in cucumber (Cucumis sativus L.) is conditioned by maternal factors and the sequencing of its chloroplast (cp) genome could lead to the identification of economically important candidate genes. Complete sequencing of cucumber cpDNA was facilitated by the development of 414 consensus...

  16. Single nucleotide polymorphisms in candidate genes related to daughter pregnancy rate in Holstein cows

    Technology Transfer Automated Retrieval System (TEKTRAN)

    ABSTRACT: Previously, a candidate gene approach identified 40 SNPs associated with daughter pregnancy rate (DPR) in dairy bulls. We evaluated 39 of these SNPs for relationship to DPR in a separate population of Holstein cows grouped on their predicted transmitting ability for DPR: <= -1 (n=1266) a...

  17. Congenic mapping and candidate sequencing of susceptibility genes for Type 1 diabetes in the NOD mouse.

    PubMed

    Ikegami, Hiroshi; Fujisawa, Tomomi; Makino, Susumu; Ogihara, Toshio

    2003-11-01

    Inheritance of type 1 diabetes is polygenic with a major susceptibility gene located in the major histocompatibility complex (MHC). In addition to MHC-linked susceptibility, a number of susceptibility genes have been mapped outside the MHC in both humans and animal models. In order to localize and identify susceptibility genes for type 1 diabetes, we have developed a series of congenic strains in which either susceptibility intervals from the NOD mouse, a mouse model of type 1 diabetes, were introgressed onto control background genes or protective intervals from control strains were introgressed onto NOD background genes. NOD. CTS-H-2 congenic mice, which possess recombinant MHC with NOD alleles at class II A and E genes, which are candidates for Idd1, revealed that Idd1 consists of multiple components, one in class II (Idd1) and the other adjacent to, but distinct from, Idd1 (Idd16). Phenotypes of NOD. IIS-Idd3 congenic mice, which share the same alleles at both Il2 and Il21 as the NOD mouse, were indistinguishable from the NOD parental strain, indicating that both Il2 and Il21 are candidates for Idd3. In contrast, NOD. IIS-Idd10 congenic mice, which share the same alleles at Fcgr1, a previous candidate for Idd10, as the NOD mouse, were protected from type 1 diabetes, suggesting that Fcgr1 may not be responsible for the Idd10 effect. These data suggest that the use of strain colony closely related to a disease model to find the same candidate mutation on different haplotypes and make congenic strains with this recombinant chromosome, termed ancestral haplotype congenic mapping, is an effective strategy for fine mapping and identification of genes responsible for complex traits. PMID:14679059

  18. A cross-species genetic analysis identifies candidate genes for mouse anxiety and human bipolar disorder.

    PubMed

    Ashbrook, David G; Williams, Robert W; Lu, Lu; Hager, Reinmar

    2015-01-01

    Bipolar disorder (BD) is a significant neuropsychiatric disorder with a lifetime prevalence of ~1%. To identify genetic variants underlying BD genome-wide association studies (GWAS) have been carried out. While many variants of small effect associated with BD have been identified few have yet been confirmed, partly because of the low power of GWAS due to multiple comparisons being made. Complementary mapping studies using murine models have identified genetic variants for behavioral traits linked to BD, often with high power, but these identified regions often contain too many genes for clear identification of candidate genes. In the current study we have aligned human BD GWAS results and mouse linkage studies to help define and evaluate candidate genes linked to BD, seeking to use the power of the mouse mapping with the precision of GWAS. We use quantitative trait mapping for open field test and elevated zero maze data in the largest mammalian model system, the BXD recombinant inbred mouse population, to identify genomic regions associated with these BD-like phenotypes. We then investigate these regions in whole genome data from the Psychiatric Genomics Consortium's bipolar disorder GWAS to identify candidate genes associated with BD. Finally we establish the biological relevance and pathways of these genes in a comprehensive systems genetics analysis. We identify four genes associated with both mouse anxiety and human BD. While TNR is a novel candidate for BD, we can confirm previously suggested associations with CMYA5, MCTP1, and RXRG. A cross-species, systems genetics analysis shows that MCTP1, RXRG, and TNR coexpress with genes linked to psychiatric disorders and identify the striatum as a potential site of action. CMYA5, MCTP1, RXRG, and TNR are associated with mouse anxiety and human BD. We hypothesize that MCTP1, RXRG, and TNR influence intercellular signaling in the striatum. PMID:26190982

  19. A cross-species genetic analysis identifies candidate genes for mouse anxiety and human bipolar disorder

    PubMed Central

    Ashbrook, David G.; Williams, Robert W.; Lu, Lu; Hager, Reinmar

    2015-01-01

    Bipolar disorder (BD) is a significant neuropsychiatric disorder with a lifetime prevalence of ~1%. To identify genetic variants underlying BD genome-wide association studies (GWAS) have been carried out. While many variants of small effect associated with BD have been identified few have yet been confirmed, partly because of the low power of GWAS due to multiple comparisons being made. Complementary mapping studies using murine models have identified genetic variants for behavioral traits linked to BD, often with high power, but these identified regions often contain too many genes for clear identification of candidate genes. In the current study we have aligned human BD GWAS results and mouse linkage studies to help define and evaluate candidate genes linked to BD, seeking to use the power of the mouse mapping with the precision of GWAS. We use quantitative trait mapping for open field test and elevated zero maze data in the largest mammalian model system, the BXD recombinant inbred mouse population, to identify genomic regions associated with these BD-like phenotypes. We then investigate these regions in whole genome data from the Psychiatric Genomics Consortium's bipolar disorder GWAS to identify candidate genes associated with BD. Finally we establish the biological relevance and pathways of these genes in a comprehensive systems genetics analysis. We identify four genes associated with both mouse anxiety and human BD. While TNR is a novel candidate for BD, we can confirm previously suggested associations with CMYA5, MCTP1, and RXRG. A cross-species, systems genetics analysis shows that MCTP1, RXRG, and TNR coexpress with genes linked to psychiatric disorders and identify the striatum as a potential site of action. CMYA5, MCTP1, RXRG, and TNR are associated with mouse anxiety and human BD. We hypothesize that MCTP1, RXRG, and TNR influence intercellular signaling in the striatum. PMID:26190982

  20. Identification of novel candidate genes for follicle selection in the broiler breeder ovary

    PubMed Central

    2012-01-01

    Background Broiler breeders fed ad libitum are characterised by multiple ovulation, which leads to poor shell quality and egg production. Multiple ovulation is controlled by food restriction in commercial flocks. However, the level of food restriction raises welfare concerns, including that of severe hunger. Reducing the rate of multiple ovulation by genetic selection would facilitate progress towards developing a growth profile for optimum animal welfare. Results The study utilised 3 models of ovarian follicle development; laying hens fed ad libitum (experiment 2) and broiler breeders fed ad libitum or a restricted diet (experiments 1 & 3). This allowed us to investigate gene candidates for follicular development by comparing normal, abnormal and “controlled” follicle hierarchies at different stages of development. Several candidate genes for multiple ovulation were identified by combining microarray analysis of restricted vs. ad libitum feeding, literature searches and QPCR expression profiling throughout follicle development. Three candidate genes were confirmed by QPCR as showing significant differential expression between restricted and ad libitum feeding: FSHR, GDF9 and PDGFRL. PDGFRL, a candidate for steroidogenesis, showed significantly up-regulated expression in 6–8 mm follicles of ad libitum fed broiler breeders (P = 0.016), the period at which follicle recruitment occurs. Conclusions Gene candidates have been identified and evidence provided to support a possible role in regulation of ovarian function and follicle number. Further characterisation of these genes will be required to assess their potential for inclusion into breeding programmes to improve the regulation of follicle selection and reduce the need for feed restriction. PMID:22992265

  1. Candidate genes for the development of hair follicles in Hu sheep.

    PubMed

    Lv, X Y; Ni, R; Sun, W; Su, R; Musa, H H; Yin, J F; Wang, Q Z; Gao, W; Chen, L

    2016-01-01

    The aim of this study was to detect candidate genes for the development of hair follicles in the Hu sheep breed. Seven genes have been detected in large, medium, and small wave follicles of Hu sheep using gene chip technology. The histological features of the follicles of newborn Hu-lambs were combined with fluorescence quantitative PCR technology to detect the correlation between the expression of the seven genes and hair follicle development. Among the genes studied, matrix metalloproteinase 2 (MMP2), bone morphogenetic protein-7 (BMP7), and sideroflexin 1 (SFXN1) showed a significantly different pattern of expression in large, medium, and small wave follicles (P < 0.05). The expression of MMP2 had a significant positive correlation with secondary follicles in large waves (P < 0.05), while the expression of BMP7 had a significant correlation with primary follicle diameter in small wave follicles, and a highly significant positive correlation with the number of secondary follicles in the small waves (P < 0.01). The expression of SFXN1 was significantly and positively correlated with the diameters of small wave primary follicles; it also showed a highly significant positive correlation with secondary follicle diameters. Although other genes are associated with hair follicles, their expression in large, medium, and small wave follicles was not significant. We propose that BMP7, MMP2, and SFXN1 genes could be important candidate genes for use in breeding Hu lambs with early coat development. PMID:27525902

  2. Candidate DNA repair susceptibility genes identified by exome sequencing in high-risk pancreatic cancer.

    PubMed

    Smith, Alyssa L; Alirezaie, Najmeh; Connor, Ashton; Chan-Seng-Yue, Michelle; Grant, Robert; Selander, Iris; Bascuñana, Claire; Borgida, Ayelet; Hall, Anita; Whelan, Thomas; Holter, Spring; McPherson, Treasa; Cleary, Sean; Petersen, Gloria M; Omeroglu, Atilla; Saloustros, Emmanouil; McPherson, John; Stein, Lincoln D; Foulkes, William D; Majewski, Jacek; Gallinger, Steven; Zogopoulos, George

    2016-01-28

    The genetic basis underlying the majority of hereditary pancreatic adenocarcinoma (PC) is unknown. Since DNA repair genes are widely implicated in gastrointestinal malignancies, including PC, we hypothesized that there are novel DNA repair PC susceptibility genes. As germline DNA repair gene mutations may lead to PC subtypes with selective therapeutic responses, we also hypothesized that there is an overall survival (OS) difference in mutation carriers versus non-carriers. We therefore interrogated the germline exomes of 109 high-risk PC cases for rare protein-truncating variants (PTVs) in 513 putative DNA repair genes. We identified PTVs in 41 novel genes among 36 kindred. Additional genetic evidence for causality was obtained for 17 genes, with FAN1, NEK1 and RHNO1 emerging as the strongest candidates. An OS difference was observed for carriers versus non-carriers of PTVs with early stage (≤IIB) disease. This adverse survival trend in carriers with early stage disease was also observed in an independent series of 130 PC cases. We identified candidate DNA repair PC susceptibility genes and suggest that carriers of a germline PTV in a DNA repair gene with early stage disease have worse survival. PMID:26546047

  3. Association of existing and new candidate genes for anxiety, depression and personality traits in older people.

    PubMed

    Luciano, Michelle; Houlihan, Lorna M; Harris, Sarah E; Gow, Alan J; Hayward, Caroline; Starr, John M; Deary, Ian J

    2010-07-01

    Genetic variants that have previously been associated with personality traits and/or psychological distress, or inflammatory marker levels were investigated for their relationship to self-rated personality traits, anxiety, and depression in two elderly Scottish cohorts. Ten genes (29 SNPs) were investigated in the Lothian Birth Cohort 1936 (approximately 70 years, N = 1,091). Four of these genes and seven others (35 SNPs) were tested in the Lothian Birth Cohort 1921 who were measured on the same traits and states on two occasions (approximately 80 years, N = 550; 87 years, N = 229). For previously investigated candidate genes, some support (at a nominal significance level of 0.05/0.01) was found for association between NOS1 and personality traits (especially extraversion), PSEN1 and depression/neuroticism, and GRIK3 and depression. Of the inflammatory marker candidate genes, TF showed some association with psychological distress. No SNPs withstood the correction to significance level for multiple testing. Nevertheless, the results will be of importance to future meta-analyses of these candidate genes in relation to psychological distress and personality. PMID:20052609

  4. Thirty-seven candidate genes for polycystic ovary syndrome: Strongest evidence for linkage is with follistatin

    PubMed Central

    Urbanek, Margrit; Legro, Richard S.; Driscoll, Deborah A.; Azziz, Ricardo; Ehrmann, David A.; Norman, Robert J.; Strauss, Jerome F.; Spielman, Richard S.; Dunaif, Andrea

    1999-01-01

    Polycystic ovary syndrome (PCOS) is a common endocrine disorder of women, characterized by hyperandrogenism and chronic anovulation. It is a leading cause of female infertility and is associated with polycystic ovaries, hirsutism, obesity, and insulin resistance. We tested a carefully chosen collection of 37 candidate genes for linkage and association with PCOS or hyperandrogenemia in data from 150 families. The strongest evidence for linkage was with the follistatin gene, for which affected sisters showed increased identity by descent (72%; χ2 = 12.97; nominal P = 3.2 × 10−4). After correction for multiple testing (33 tests), the follistatin findings were still highly significant (Pc = 0.01). Although the linkage results for CYP11A were also nominally significant (P = 0.02), they were no longer significant after correction. In 11 candidate gene regions, at least one allele showed nominally significant evidence for population association with PCOS in the transmission/disequilibrium test (χ2 ≥ 3.84; nominal P < 0.05). The strongest effect in the transmission/disequilibrium test was observed in the INSR region (D19S884; allele 5; χ2 = 8.53) but was not significant after correction. Our study shows how a systematic screen of candidate genes can provide strong evidence for genetic linkage in complex diseases and can identify those genes that should have high (or low) priority for further study. PMID:10411917

  5. Candidate gene associated with a mutation causing recessive polycystic kidney disease in mice

    SciTech Connect

    Moyer, J.H.; Lee-Tischler, M.J.; Kwon, H.Y.; Schrick, J.J. ); Avner, E.D.; Sweeney, W.E. ); Godfrey, V.L.; Cacheiro, N.L.A.; Woychik, R.P. ); Wilkinson, J.E. )

    1994-05-27

    A line of transgenic mice was generated that contains an insertional mutation causing a phenotype similar to human autosomal recessive polycystic kidney disease. Homozygotes displayed a complex phenotype that included bilateral polycystic kidneys and an unusual liver lesion. The mutant locus was cloned and characterized through use of the transgene as a molecular marker. Additionally, a candidate polycystic kidney disease (PKD) gene was identified whose structure and expression are directly associated with the mutant locus. A complementary DNA derived from this gene predicted a peptide containing a motif that was originally identified in several genes involved in cell cycle control.

  6. Large-Scale candidate gene analysis of spontaneous hepatitis C virus clearance

    PubMed Central

    Mosbruger, Timothy L; Duggal, Priya; Goedert, James J.; Kirk, Gregory D; Hoots, W. Keith; Tobler, Leslie H; Busch, Michael; Peters, Marion G.; Rosen, Hugo R; Thomas, David L; Thio, Chloe L

    2010-01-01

    Human genetic variation is a determinant of recovery from an acute hepatitis C virus (HCV) infection, but, to date, single nucleotide polymorphisms (SNPs) in a limited number of genes have been studied with respect to HCV clearance. We determined whether SNPs in 112 selected immune-response genes are important for HCV clearance by genotyping 1536 SNPs in a cohort of 343 persons with natural HCV clearance and 547 persons with HCV persistence. PLINK and Haploview software packages were used to perform association, permutation, and haplotype analyses stratified by African-American (AA) and European-American (EA) race. Of the 1536 SNPs tested, 1426 were successfully genotyped (92.8%). In AAs, we identified 18 SNPs located in 11 gene regions that were associated with HCV outcome (empirical p-value < 0.01). In EAs, there were 20 SNPs located in eight gene regions associated with HCV outcome. Four of the gene regions studied (TNFSF18, TANK, HAVCR1 and IL18BP) contained SNPs with empirical p-values < 0.01 in both of the race groups. Conclusion In this large-scale analysis of 1426 genotyped SNPs in 112 candidate genes, we identified four gene regions that are likely candidates for a role in HCV clearance or persistence in both AAs and EAs. PMID:20331378

  7. Evolutionary conservation of candidate osmoregulation genes in plant phloem sap-feeding insects.

    PubMed

    Jing, X; White, T A; Luan, J; Jiao, C; Fei, Z; Douglas, A E

    2016-06-01

    The high osmotic pressure generated by sugars in plant phloem sap is reduced in phloem-feeding aphids by sugar transformations and facilitated water flux in the gut. The genes mediating these osmoregulatory functions have been identified and validated empirically in the pea aphid Acyrthosiphon pisum: sucrase 1 (SUC1), a sucrase in glycoside hydrolase family 13 (GH13), and aquaporin 1 (AQP1), a member of the Drosophila integral protein (DRIP) family of aquaporins. Here, we describe molecular analysis of GH13 and AQP genes in phloem-feeding representatives of the four phloem-feeding groups: aphids (Myzus persicae), coccids (Planococcus citri), psyllids (Diaphorina citri, Bactericera cockerelli) and whiteflies (Bemisia tabaci MEAM1 and MED). A single candidate GH13-SUC gene and DRIP-AQP gene were identified in the genome/transcriptome of most insects tested by the criteria of sequence motif and gene expression in the gut. Exceptionally, the psyllid Ba. cockerelli transcriptome included a gut-expressed Pyrocoelia rufa integral protein (PRIP)-AQP, but has no DRIP-AQP transcripts, suggesting that PRIP-AQP is recruited for osmoregulatory function in this insect. This study indicates that phylogenetically related SUC and AQP genes may generally mediate osmoregulatory functions in these diverse phloem-feeding insects, and provides candidate genes for empirical validation and development as targets for osmotic disruption of pest species. PMID:26896054

  8. Bioinformatics-Driven Identification and Examination of Candidate Genes for Non-Alcoholic Fatty Liver Disease

    PubMed Central

    Banasik, Karina; Justesen, Johanne M.; Hornbak, Malene; Krarup, Nikolaj T.; Gjesing, Anette P.; Sandholt, Camilla H.; Jensen, Thomas S.; Grarup, Niels; Andersson, Åsa; Jørgensen, Torben; Witte, Daniel R.; Sandbæk, Annelli; Lauritzen, Torsten; Thorens, Bernard; Brunak, Søren; Sørensen, Thorkild I. A.; Pedersen, Oluf; Hansen, Torben

    2011-01-01

    Objective Candidate genes for non-alcoholic fatty liver disease (NAFLD) identified by a bioinformatics approach were examined for variant associations to quantitative traits of NAFLD-related phenotypes. Research Design and Methods By integrating public database text mining, trans-organism protein-protein interaction transferal, and information on liver protein expression a protein-protein interaction network was constructed and from this a smaller isolated interactome was identified. Five genes from this interactome were selected for genetic analysis. Twenty-one tag single-nucleotide polymorphisms (SNPs) which captured all common variation in these genes were genotyped in 10,196 Danes, and analyzed for association with NAFLD-related quantitative traits, type 2 diabetes (T2D), central obesity, and WHO-defined metabolic syndrome (MetS). Results 273 genes were included in the protein-protein interaction analysis and EHHADH, ECHS1, HADHA, HADHB, and ACADL were selected for further examination. A total of 10 nominal statistical significant associations (P<0.05) to quantitative metabolic traits were identified. Also, the case-control study showed associations between variation in the five genes and T2D, central obesity, and MetS, respectively. Bonferroni adjustments for multiple testing negated all associations. Conclusions Using a bioinformatics approach we identified five candidate genes for NAFLD. However, we failed to provide evidence of associations with major effects between SNPs in these five genes and NAFLD-related quantitative traits, T2D, central obesity, and MetS. PMID:21339799

  9. PiNGO: a Cytoscape plugin to find candidate genes in biological networks

    PubMed Central

    Smoot, Michael; Ono, Keiichiro; Ideker, Trey; Maere, Steven

    2011-01-01

    Summary: PiNGO is a tool to screen biological networks for candidate genes, i.e. genes predicted to be involved in a biological process of interest. The user can narrow the search to genes with particular known functions or exclude genes belonging to particular functional classes. PiNGO provides support for a wide range of organisms and Gene Ontology classification schemes, and it can easily be customized for other organisms and functional classifications. PiNGO is implemented as a plugin for Cytoscape, a popular network visualization platform. Availability: PiNGO is distributed as an open-source Java package under the GNU General Public License (http://www.gnu.org/), and can be downloaded via the Cytoscape plugin manager. A detailed user guide and tutorial are available on the PiNGO website (http://www.psb.ugent.be/esb/PiNGO. Contact: steven.maere@psb.vib-ugent.be PMID:21278188

  10. No Association between Personality and Candidate Gene Polymorphisms in a Wild Bird Population

    PubMed Central

    Durieux, Gillian; Burke, Terry; Dugdale, Hannah L.

    2015-01-01

    Consistency of between-individual differences in behaviour or personality is a phenomenon in populations that can have ecological consequences and evolutionary potential. One way that behaviour can evolve is to have a genetic basis. Identifying the molecular genetic basis of personality could therefore provide insight into how and why such variation is maintained, particularly in natural populations. Previously identified candidate genes for personality in birds include the dopamine receptor D4 (DRD4), and serotonin transporter (SERT). Studies of wild bird populations have shown that exploratory and bold behaviours are associated with polymorphisms in both DRD4 and SERT. Here we tested for polymorphisms in DRD4 and SERT in the Seychelles warbler (Acrocephalus sechellensis) population on Cousin Island, Seychelles, and then investigated correlations between personality and polymorphisms in these genes. We found no genetic variation in DRD4, but identified four polymorphisms in SERT that clustered into five haplotypes. There was no correlation between bold or exploratory behaviours and SERT polymorphisms/haplotypes. The null result was not due to lack of power, and indicates that there was no association between these behaviours and variation in the candidate genes tested in this population. These null findings provide important data to facilitate representative future meta-analyses on candidate personality genes. PMID:26473495

  11. Linkage and candidate gene studies of autism spectrum disorders in European populations.

    PubMed

    Holt, Richard; Barnby, Gabrielle; Maestrini, Elena; Bacchelli, Elena; Brocklebank, Denise; Sousa, Inês; Mulder, Erik J; Kantojärvi, Katri; Järvelä, Irma; Klauck, Sabine M; Poustka, Fritz; Bailey, Anthony J; Monaco, Anthony P

    2010-09-01

    Over the past decade, research on the genetic variants underlying susceptibility to autism and autism spectrum disorders (ASDs) has focused on linkage and candidate gene studies. This research has implicated various chromosomal loci and genes. Candidate gene studies have proven to be particularly intractable, with many studies failing to replicate previously reported associations. In this paper, we investigate previously implicated genomic regions for a role in ASD susceptibility, using four cohorts of European ancestry. Initially, a 384 SNP Illumina GoldenGate array was used to examine linkage at six previously implicated loci. We identify linkage approaching genome-wide suggestive levels on chromosome 2 (rs2885116, MLOD=1.89). Association analysis showed significant associations in MKL2 with ASD (rs756472, P=4.31 x 10(-5)) and between SND1 and strict autism (rs1881084, P=7.76 x 10(-5)) in the Finnish and Northern Dutch populations, respectively. Subsequently, we used a second 384 SNP Illumina GoldenGate array to examine the association in seven candidate genes, and evidence for association was found in RELN (rs362780, P=0.00165). Further increasing the sample size strengthened the association with RELN (rs362780, P=0.001) and produced a second significant result in GRIK2 (rs2518261, P=0.008). Our results strengthen the case for a more detailed study of the role of RELN and GRIK2 in autism susceptibility, as well as identifying two new potential candidate genes, MKL2 and SND1. PMID:20442744

  12. The effects of polymorphisms in 7 candidate genes on resistance to Salmonella Enteritidis in native chickens.

    PubMed

    Tohidi, R; Idris, I B; Malar Panandam, J; Hair Bejo, M

    2013-04-01

    Salmonella enterica serovar Enteritidis infection is a common concern in poultry production for its negative effects on growth as well as food safety for humans. Identification of molecular markers that are linked to resistance to Salmonella Enteritidis may lead to appropriate solutions to control Salmonella infection in chickens. This study investigated the association of candidate genes with resistance to Salmonella Enteritidis in young chickens. Two native breeds of Malaysian chickens, namely, Village Chickens and Red Junglefowl, were evaluated for bacterial colonization after Salmonella Enteritidis inoculation. Seven candidate genes were selected on the basis of their physiological role in immune response, as determined by prior studies in other genetic lines: natural resistance-associated protein 1 (NRAMP1), transforming growth factor β3 (TGFβ3), transforming growth factor β4 (TGFβ4), inhibitor of apoptosis protein 1 (IAP1), caspase 1 (CASP1), lipopolysaccharide-induced tumor necrosis factor (TNF) α factor (LITAF), and TNF-related apoptosis-inducing ligand (TRAIL). Polymerase chain reaction-RFLP was used to identify polymorphisms in the candidate genes; all genes exhibited polymorphisms in at least one breed. The NRAMP1-SacI polymorphism correlated with the differences in Salmonella Enteritidis load in the cecum (P = 0.002) and spleen (P = 0.01) of Village Chickens. Polymorphisms in the restriction sites of TGFβ3-BsrI, TGFβ4-MboII, and TRAIL-StyI were associated with Salmonella Enteritidis burden in the cecum, spleen, and liver of Village Chickens and Red Junglefowl (P < 0.05). These results indicate that the NRAMP1, TGFβ3, TGFβ4, and TRAIL genes are potential candidates for use in selection programs for increasing genetic resistance against Salmonella Enteritidis in native Malaysian chickens. PMID:23472012

  13. Identification of Candidate Genes in Scleroderma-Related Pulmonary Arterial Hypertension

    PubMed Central

    Grigoryev, DN; Mathai, SC; Fisher, MR; Girgis, RE; Zaiman, AL; Housten-Harris, T; Cheadle, C; Gao, L; Hummers, LK; Champion, HC; Garcia, JGN; Wigley, FM; Tuder, RM; Barnes, KC; Hassoun, PM

    2008-01-01

    We hypothesize that pulmonary arterial hypertension (PAH)-associated genes identified by expression profiling of peripheral blood mononuclear cells (PBMCs) from patients with idiopathic pulmonary arterial hypertension (IPAH) can also be identified in PBMCs from scleroderma patients with PAH (PAH-SSc). Gene expression profiles of PBMCs collected from IPAH (n=9), PAH-SSc (n=10) patients and healthy controls (n=5) were generated using HG_U133A_2.0 GeneChips and processed by RMA/GCOS_1.4/SAM_1.21 data analysis pipeline. Disease severity in consecutive patients was assessed by functional status and hemodynamic measurements. The expression profiles were analyzed using PAH severity-stratification, and identified candidate genes were validated with real time PCR (rtPCR). Transcriptomics of PBMCs from IPAH patients was highly comparable with that of PMBCs from PAH-SSc patients. The PBMC gene expression patterns significantly correlate with right atrium pressure (RA) and cardiac index (CI), known predictors of survival in PAH. Array stratification by RA and CI identified 364 PAH-associated candidate genes. Gene ontology analysis revealed significant (Zscore > 1.96) alterations in angiogenesis genes according to PAH severity: MMP9 and VEGF were significantly upregulated in mild as compared to severe PAH and healthy controls, as confirmed by rtPCR. These data demonstrate that PBMCs from patients with PAH-SSc carry distinct transcriptional expression. Furthermore, our findings suggest an association between angiogenesis-related gene expression and severity of PAH in PAH-SSc patients. Deciphering the role of genes involved in vascular remodeling and PAH development may reveal new treatment targets for this devastating disorder. PMID:18355767

  14. Identification of candidate genes for dissecting complex branch number trait in chickpea.

    PubMed

    Bajaj, Deepak; Upadhyaya, Hari D; Das, Shouvik; Kumar, Vinod; Gowda, C L L; Sharma, Shivali; Tyagi, Akhilesh K; Parida, Swarup K

    2016-04-01

    The present study exploited integrated genomics-assisted breeding strategy for genetic dissection of complex branch number quantitative trait in chickpea. Candidate gene-based association analysis in a branch number association panel was performed by utilizing the genotyping data of 401 SNP allelic variants mined from 27 known cloned branch number gene orthologs of chickpea. The genome-wide association study (GWAS) integrating both genome-wide GBS- (4556 SNPs) and candidate gene-based genotyping information of 4957 SNPs in a structured population of 60 sequenced desi and kabuli accessions (with 350-400 kb LD decay), detected 11 significant genomic loci (genes) associated (41% combined PVE) with branch number in chickpea. Of these, seven branch number-associated genes were further validated successfully in two inter (ICC 4958 × ICC 17160)- and intra (ICC 12299 × ICC 8261)-specific mapping populations. The axillary meristem and shoot apical meristem-specific expression, including differential up- and down-regulation (4-5 fold) of the validated seven branch number-associated genes especially in high branch number as compared to the low branch number-containing parental accessions and homozygous individuals of two aforesaid mapping populations was apparent. Collectively, this combinatorial genomic approach delineated diverse naturally occurring novel functional SNP allelic variants in seven potential known/candidate genes [PIN1 (PIN-FORMED protein 1), TB1 (teosinte branched 1), BA1/LAX1 (BARREN STALK1/LIKE AUXIN1), GRAS8 (gibberellic acid insensitive/GAI, Repressor of ga13/RGA and Scarecrow8/SCR8), ERF (ethylene-responsive element-binding factor), MAX2 (more axillary growth 2) and lipase] governing chickpea branch number. The useful information generated from this study have potential to expedite marker-assisted genetic enhancement by developing high-yielding cultivars with more number of productive (pods and seeds) branches in chickpea. PMID:26940492

  15. Retinoblastoma-associated protein 140 as a candidate for a novel etiological gene to hypertension.

    PubMed

    Crespo, Kimberley; Ménard, Annie; Deng, Alan Y

    2016-01-01

    Gene discovery in animal models may lead to the revelation of therapeutic targets for essential hypertension as well as mechanistic insights into blood pressure (BP) regulation. Our aim was to identify a disease-causing gene for a component of polygenic hypertension contrasting inbred hypertensive Dahl salt-sensitive (DSS) and normotensive Lewis rats. The chromosome segment harboring a quantitative trait locus (QTL), C16QTL, was first isolated from the rat genome via congenic strains. A candidate gene responsible for C16QTL causing a BP difference between DSS and Lewis rats was then identified using molecular analyses combining our independently-conducted total genome and gene-specific sequencings. The retinoblastoma-associated protein 140 (Rap140)/family with sequence similarity 208 member A (Fam208a) is the only candidate gene supported to be C16QTL among three genes in genome block 1 present in the C16QTL-residing interval. A mode of its actions could be to influence the expressions of genes that are downstream in a pathway potentially leading to BP regulation such as that encoding the solute carrier family 7 (cationic amino acid transporter, y+ system) member 12 (Slc7a12), which is specifically expressed in kidneys. Thus, Rap140/Fam208a probably encoding a transcription factor is the strongest candidate for a novel BP QTL that acts via a putative Rap140/Fam208a-Slc7a12-BP pathway. These data implicate a premier physiological role for Rap140/Fam208 beyond development and a first biological function for the Slc7a12 protein in any organism. PMID:27391979

  16. Transcriptomic Analysis Using Olive Varieties and Breeding Progenies Identifies Candidate Genes Involved in Plant Architecture.

    PubMed

    González-Plaza, Juan J; Ortiz-Martín, Inmaculada; Muñoz-Mérida, Antonio; García-López, Carmen; Sánchez-Sevilla, José F; Luque, Francisco; Trelles, Oswaldo; Bejarano, Eduardo R; De La Rosa, Raúl; Valpuesta, Victoriano; Beuzón, Carmen R

    2016-01-01

    Plant architecture is a critical trait in fruit crops that can significantly influence yield, pruning, planting density and harvesting. Little is known about how plant architecture is genetically determined in olive, were most of the existing varieties are traditional with an architecture poorly suited for modern growing and harvesting systems. In the present study, we have carried out microarray analysis of meristematic tissue to compare expression profiles of olive varieties displaying differences in architecture, as well as seedlings from their cross pooled on the basis of their sharing architecture-related phenotypes. The microarray used, previously developed by our group has already been applied to identify candidates genes involved in regulating juvenile to adult transition in the shoot apex of seedlings. Varieties with distinct architecture phenotypes and individuals from segregating progenies displaying opposite architecture features were used to link phenotype to expression. Here, we identify 2252 differentially expressed genes (DEGs) associated to differences in plant architecture. Microarray results were validated by quantitative RT-PCR carried out on genes with functional annotation likely related to plant architecture. Twelve of these genes were further analyzed in individual seedlings of the corresponding pool. We also examined Arabidopsis mutants in putative orthologs of these targeted candidate genes, finding altered architecture for most of them. This supports a functional conservation between species and potential biological relevance of the candidate genes identified. This study is the first to identify genes associated to plant architecture in olive, and the results obtained could be of great help in future programs aimed at selecting phenotypes adapted to modern cultivation practices in this species. PMID:26973682

  17. Transcriptomic Analysis Using Olive Varieties and Breeding Progenies Identifies Candidate Genes Involved in Plant Architecture

    PubMed Central

    González-Plaza, Juan J.; Ortiz-Martín, Inmaculada; Muñoz-Mérida, Antonio; García-López, Carmen; Sánchez-Sevilla, José F.; Luque, Francisco; Trelles, Oswaldo; Bejarano, Eduardo R.; De La Rosa, Raúl; Valpuesta, Victoriano; Beuzón, Carmen R.

    2016-01-01

    Plant architecture is a critical trait in fruit crops that can significantly influence yield, pruning, planting density and harvesting. Little is known about how plant architecture is genetically determined in olive, were most of the existing varieties are traditional with an architecture poorly suited for modern growing and harvesting systems. In the present study, we have carried out microarray analysis of meristematic tissue to compare expression profiles of olive varieties displaying differences in architecture, as well as seedlings from their cross pooled on the basis of their sharing architecture-related phenotypes. The microarray used, previously developed by our group has already been applied to identify candidates genes involved in regulating juvenile to adult transition in the shoot apex of seedlings. Varieties with distinct architecture phenotypes and individuals from segregating progenies displaying opposite architecture features were used to link phenotype to expression. Here, we identify 2252 differentially expressed genes (DEGs) associated to differences in plant architecture. Microarray results were validated by quantitative RT-PCR carried out on genes with functional annotation likely related to plant architecture. Twelve of these genes were further analyzed in individual seedlings of the corresponding pool. We also examined Arabidopsis mutants in putative orthologs of these targeted candidate genes, finding altered architecture for most of them. This supports a functional conservation between species and potential biological relevance of the candidate genes identified. This study is the first to identify genes associated to plant architecture in olive, and the results obtained could be of great help in future programs aimed at selecting phenotypes adapted to modern cultivation practices in this species. PMID:26973682

  18. Genome-Wide Association Study Identifies Candidate Genes for Starch Content Regulation in Maize Kernels.

    PubMed

    Liu, Na; Xue, Yadong; Guo, Zhanyong; Li, Weihua; Tang, Jihua

    2016-01-01

    Kernel starch content is an important trait in maize (Zea mays L.) as it accounts for 65-75% of the dry kernel weight and positively correlates with seed yield. A number of starch synthesis-related genes have been identified in maize in recent years. However, many loci underlying variation in starch content among maize inbred lines still remain to be identified. The current study is a genome-wide association study that used a set of 263 maize inbred lines. In this panel, the average kernel starch content was 66.99%, ranging from 60.60 to 71.58% over the three study years. These inbred lines were genotyped with the SNP50 BeadChip maize array, which is comprised of 56,110 evenly spaced, random SNPs. Population structure was controlled by a mixed linear model (MLM) as implemented in the software package TASSEL. After the statistical analyses, four SNPs were identified as significantly associated with starch content (P ≤ 0.0001), among which one each are located on chromosomes 1 and 5 and two are on chromosome 2. Furthermore, 77 candidate genes associated with starch synthesis were found within the 100-kb intervals containing these four QTLs, and four highly associated genes were within 20-kb intervals of the associated SNPs. Among the four genes, Glucose-1-phosphate adenylyltransferase (APS1; Gene ID GRMZM2G163437) is known as an important regulator of kernel starch content. The identified SNPs, QTLs, and candidate genes may not only be readily used for germplasm improvement by marker-assisted selection in breeding, but can also elucidate the genetic basis of starch content. Further studies on these identified candidate genes may help determine the molecular mechanisms regulating kernel starch content in maize and other important cereal crops. PMID:27512395

  19. Genome-Wide Association Study Identifies Candidate Genes for Starch Content Regulation in Maize Kernels

    PubMed Central

    Liu, Na; Xue, Yadong; Guo, Zhanyong; Li, Weihua; Tang, Jihua

    2016-01-01

    Kernel starch content is an important trait in maize (Zea mays L.) as it accounts for 65–75% of the dry kernel weight and positively correlates with seed yield. A number of starch synthesis-related genes have been identified in maize in recent years. However, many loci underlying variation in starch content among maize inbred lines still remain to be identified. The current study is a genome-wide association study that used a set of 263 maize inbred lines. In this panel, the average kernel starch content was 66.99%, ranging from 60.60 to 71.58% over the three study years. These inbred lines were genotyped with the SNP50 BeadChip maize array, which is comprised of 56,110 evenly spaced, random SNPs. Population structure was controlled by a mixed linear model (MLM) as implemented in the software package TASSEL. After the statistical analyses, four SNPs were identified as significantly associated with starch content (P ≤ 0.0001), among which one each are located on chromosomes 1 and 5 and two are on chromosome 2. Furthermore, 77 candidate genes associated with starch synthesis were found within the 100-kb intervals containing these four QTLs, and four highly associated genes were within 20-kb intervals of the associated SNPs. Among the four genes, Glucose-1-phosphate adenylyltransferase (APS1; Gene ID GRMZM2G163437) is known as an important regulator of kernel starch content. The identified SNPs, QTLs, and candidate genes may not only be readily used for germplasm improvement by marker-assisted selection in breeding, but can also elucidate the genetic basis of starch content. Further studies on these identified candidate genes may help determine the molecular mechanisms regulating kernel starch content in maize and other important cereal crops. PMID:27512395

  20. Novel candidate genes putatively involved in stress fracture predisposition detected by whole-exome sequencing.

    PubMed

    Friedman, Eitan; Moran, Daniel S; Ben-Avraham, Danny; Yanovich, Ran; Atzmon, Gil

    2014-01-01

    While genetic factors in all likelihood contribute to stress fracture (SF) pathogenesis, a few studies focusing on candidate genes have previously been reported. The objective of this study is to gain better understanding on the genetic basis of SF in a gene-naive manner. Exome sequence capture followed by massive parallel sequencing of two pooled DNA samples from Israeli combat soldiers was employed: cases with high grade SF and ethnically matched healthy controls. The resulting sequence variants were individually verified using the Sequenom™ platform and the contribution of the genetic alterations was validated in a second cohort of cases and controls. In the discovery set that included DNA pool of cases (n = 34) and controls (n = 60), a total of 1174 variants with >600 reads/variant/DNA pool were identified, and 146 (in 127 genes) of these exhibited statistically significant (P < 0·05) different rates between SF cases and controls after multiple comparisons correction. Subsequent validation of these 146 sequence variants individually in a total of 136 SF cases and 127 controls using the Sequenom™ platform validated 20/146 variants. Of these, three missense mutations (rs7426114, rs4073918, rs3752135 in the NEB, SLC6A18 and SIGLEC12 genes, respectively) and three synonymous mutations (rs2071856, rs2515941, rs716745 in the ELFN2, GRK4, LRRC55 genes) displayed significant different rates in SF cases compared with controls. Exome sequencing seemingly unravelled novel candidate genes as involved in SF pathogenesis and predisposition. PMID:25023003

  1. Isolation of genes from the Batten candidate region using exon amplification

    SciTech Connect

    Lerner, T.J.; D`Arigo, K.L.; Haines, J.L.

    1995-06-05

    In order to identify genes originating from the Batten disease candidate region, we have used the technique of exon amplification to identify transcribed sequences. This procedure produces trapped exon clones, which can represent single exons or multiple exons spliced together and is an efficient method for obtaining probes for physical mapping and for screening cDNA libraries. The source of DNA for these experiments was a collection of chromosome 16 cosmid contigs isolated by the direct subcloning of region-specific yeast artificial chromosomes (YACs) and hybridization of inter-alu PCR products from these YACs to the flow-sorted Los Alamos chromosome 16 cosmid library. We are now using the resulting exon probes to screen retina and brain cDNA libraries for candidate JNCL genes. 23 refs., 1 fig.

  2. Validation of candidate genes associated with cardiovascular risk factors in psychiatric patients

    PubMed Central

    Windemuth, Andreas; de Leon, Jose; Goethe, John W.; Schwartz, Harold I.; Woolley, Stephen; Susce, Margaret; Kocherla, Mohan; Bogaard, Kali; Holford, Theodore R.; Seip, Richard L.; Ruaño, Gualberto

    2016-01-01

    The purpose of this study was to identify genetic variants predictive of cardiovascular risk factors in a psychiatric population treated with second generation antipsychotics (SGA). 924 patients undergoing treatment for severe mental illness at four US hospitals were genotyped at 1.2 million single nucleotide polymorphisms. Patients were assessed for fasting serum lipid (low density lipoprotein cholesterol [LDLc], high density lipoprotein cholesterol [HDLc], and triglycerides) and obesity phenotypes (body mass index, BMI). Thirteen candidate genes from previous studies of the same phenotypes in non-psychiatric populations were tested for association. We confirmed 8 of the 13 candidate genes at the 95% confidence level. An increased genetic effect size was observed for triglycerides in the psychiatric population compared to that in the cardiovascular population. PMID:21851846

  3. RNA-Seq Analysis Reveals Candidate Genes for Ontogenic Resistance in Malus-Venturia Pathosystem

    PubMed Central

    Gusberti, Michele; Gessler, Cesare; Broggini, Giovanni A. L.

    2013-01-01

    Ontogenic scab resistance in apple leaves and fruits is a horizontal resistance against the plant pathogen Venturia inaequalis and is expressed as a decrease in disease symptoms and incidence with the ageing of the leaves. Several studies at the biochemical level tried to unveil the nature of this resistance; however, no conclusive results were reported. We decided therefore to investigate the genetic origin of this phenomenon by performing a full quantitative transcriptome sequencing and comparison of young (susceptible) and old (ontogenic resistant) leaves, infected or not with the pathogen. Two time points at 72 and 96 hours post-inoculation were chosen for RNA sampling and sequencing. Comparison between the different conditions (young and old leaves, inoculated or not) should allow the identification of differentially expressed genes which may represent different induced plant defence reactions leading to ontogenic resistance or may be the cause of a constitutive (uninoculated with the pathogen) shift toward resistance in old leaves. Differentially expressed genes were then characterised for their function by homology to A. thaliana and other plant genes, particularly looking for genes involved in pathways already suspected of appertaining to ontogenic resistance in apple or other hosts, or to plant defence mechanisms in general. In this work, five candidate genes putatively involved in the ontogenic resistance of apple were identified: a gene encoding an “enhanced disease susceptibility 1 protein” was found to be down-regulated in both uninoculated and inoculated old leaves at 96 hpi, while the other four genes encoding proteins (metallothionein3-like protein, lipoxygenase, lipid transfer protein, and a peroxidase 3) were found to be constitutively up-regulated in inoculated and uninoculated old leaves. The modulation of the five candidate genes has been validated using the real-time quantitative PCR. Thus, ontogenic resistance may be the result of the

  4. Differential introgression in a mosaic hybrid zone reveals candidate barrier genes.

    PubMed

    Larson, Erica L; Andrés, Jose A; Bogdanowicz, Steven M; Harrison, Richard G

    2013-12-01

    Hybrid zones act as genomic sieves. Although globally advantageous alleles will spread throughout the zone and neutral alleles can be freely exchanged between species, introgression will be restricted for genes that contribute to reproductive barriers or local adaptation. Seminal fluid proteins (SFPs) are known to contribute to reproductive barriers in insects and have been proposed as candidate barrier genes in the hybridizing field crickets Gryllus pennsylvanicus and Gryllus firmus. Here, we have used 125 single nucleotide polymorphisms to characterize patterns of differential introgression and to identify genes that may contribute to prezygotic barriers between these species. Using a transcriptome scan of the male cricket accessory gland (the site of SFP synthesis), we identified genes with major allele frequency differences between the species. We then compared patterns of introgression for genes encoding SFPs with patterns for genes expressed in the same tissue that do not encode SFPs. We find no evidence that SFPs have reduced gene exchange across the cricket hybrid zone. However, a number of genes exhibit dramatically reduced introgression, and many of these genes encode proteins with functional roles consistent with known barriers. PMID:24299416

  5. The influence of disease categories on gene candidate predictions from model organism phenotypes

    PubMed Central

    2014-01-01

    Background The molecular etiology is still to be identified for about half of the currently described Mendelian diseases in humans, thereby hindering efforts to find treatments or preventive measures. Advances, such as new sequencing technologies, have led to increasing amounts of data becoming available with which to address the problem of identifying disease genes. Therefore, automated methods are needed that reliably predict disease gene candidates based on available data. We have recently developed Exomiser as a tool for identifying causative variants from exome analysis results by filtering and prioritising using a number of criteria including the phenotype similarity between the disease and mouse mutants involving the gene candidates. Initial investigations revealed a variation in performance for different medical categories of disease, due in part to a varying contribution of the phenotype scoring component. Results In this study, we further analyse the performance of our cross-species phenotype matching algorithm, and examine in more detail the reasons why disease gene filtering based on phenotype data works better for certain disease categories than others. We found that in addition to misleading phenotype alignments between species, some disease categories are still more amenable to automated predictions than others, and that this often ties in with community perceptions on how well the organism works as model. Conclusions In conclusion, our automated disease gene candidate predictions are highly dependent on the organism used for the predictions and the disease category being studied. Future work on computational disease gene prediction using phenotype data would benefit from methods that take into account the disease category and the source of model organism data. PMID:25093073

  6. SNP discovery in candidate adaptive genes using exon capture in a free-ranging alpine ungulate.

    PubMed

    Roffler, Gretchen H; Amish, Stephen J; Smith, Seth; Cosart, Ted; Kardos, Marty; Schwartz, Michael K; Luikart, Gordon

    2016-09-01

    Identification of genes underlying genomic signatures of natural selection is key to understanding adaptation to local conditions. We used targeted resequencing to identify SNP markers in 5321 candidate adaptive genes associated with known immunological, metabolic and growth functions in ovids and other ungulates. We selectively targeted 8161 exons in protein-coding and nearby 5' and 3' untranslated regions of chosen candidate genes. Targeted sequences were taken from bighorn sheep (Ovis canadensis) exon capture data and directly from the domestic sheep genome (Ovis aries v. 3; oviAri3). The bighorn sheep sequences used in the Dall's sheep (Ovis dalli dalli) exon capture aligned to 2350 genes on the oviAri3 genome with an average of 2 exons each. We developed a microfluidic qPCR-based SNP chip to genotype 476 Dall's sheep from locations across their range and test for patterns of selection. Using multiple corroborating approaches (lositan and bayescan), we detected 28 SNP loci potentially under selection. We additionally identified candidate loci significantly associated with latitude, longitude, precipitation and temperature, suggesting local environmental adaptation. The three methods demonstrated consistent support for natural selection on nine genes with immune and disease-regulating functions (e.g. Ovar-DRA, APC, BATF2, MAGEB18), cell regulation signalling pathways (e.g. KRIT1, PI3K, ORRC3), and respiratory health (CYSLTR1). Characterizing adaptive allele distributions from novel genetic techniques will facilitate investigation of the influence of environmental variation on local adaptation of a northern alpine ungulate throughout its range. This research demonstrated the utility of exon capture for gene-targeted SNP discovery and subsequent SNP chip genotyping using low-quality samples in a nonmodel species. PMID:27327375

  7. Exome sequencing identifies potential novel candidate genes in patients with unexplained colorectal adenomatous polyposis.

    PubMed

    Spier, Isabel; Kerick, Martin; Drichel, Dmitriy; Horpaopan, Sukanya; Altmüller, Janine; Laner, Andreas; Holzapfel, Stefanie; Peters, Sophia; Adam, Ronja; Zhao, Bixiao; Becker, Tim; Lifton, Richard P; Holinski-Feder, Elke; Perner, Sven; Thiele, Holger; Nöthen, Markus M; Hoffmann, Per; Timmermann, Bernd; Schweiger, Michal R; Aretz, Stefan

    2016-04-01

    In up to 30% of patients with colorectal adenomatous polyposis, no germline mutation in the known genes APC, causing familial adenomatous polyposis, MUTYH, causing MUTYH-associated polyposis, and POLE or POLD1, causing Polymerase-Proofreading-associated polyposis can be identified, although a hereditary etiology is likely. To uncover new causative genes, exome sequencing was performed using DNA from leukocytes and a total of 12 colorectal adenomas from seven unrelated patients with unexplained sporadic adenomatous polyposis. For data analysis and variant filtering, an established bioinformatics pipeline including in-house tools was applied. Variants were filtered for rare truncating point mutations and copy-number variants assuming a dominant, recessive, or tumor suppressor model of inheritance. Subsequently, targeted sequence analysis of the most promising candidate genes was performed in a validation cohort of 191 unrelated patients. All relevant variants were validated by Sanger sequencing. The analysis of exome sequencing data resulted in the identification of rare loss-of-function germline mutations in three promising candidate genes (DSC2, PIEZO1, ZSWIM7). In the validation cohort, further variants predicted to be pathogenic were identified in DSC2 and PIEZO1. According to the somatic mutation spectra, the adenomas in this patient cohort follow the classical pathways of colorectal tumorigenesis. The present study identified three candidate genes which might represent rare causes for a predisposition to colorectal adenoma formation. Especially PIEZO1 (FAM38A) and ZSWIM7 (SWS1) warrant further exploration. To evaluate the clinical relevance of these genes, investigation of larger patient cohorts and functional studies are required. PMID:26780541

  8. Perrault syndrome: report of four new cases, review and exclusion of candidate genes.

    PubMed

    Marlin, Sandrine; Lacombe, Didier; Jonard, Laurence; Leboulanger, Nicolas; Bonneau, Dominique; Goizet, Cyril; de Villemeur, Thierry Billette; Cabrol, Sylvie; Houang, Muriel; Moatti, Lucien; Feldmann, Delphine; Denoyelle, Françoise

    2008-03-01

    We report on two sporadic and two familial new cases with sensorineural hearing impairment and ovarian dysgenesis which are the cardinal signs of Perrault syndrome in females. Only one of them has a nervous system defect. We reviewed all the published cases of Perrault syndrome in order to define the clinical variability and to evaluate the frequency of the neurological anomalies in this clinical entity. Moreover we excluded GJB2, POLG, and FOXL2 as candidate genes in Perrault syndrome. PMID:18241061

  9. The Pharmacogenetic Control of Antiplatelet Response: Candidate Genes and CYP2C19

    PubMed Central

    Yang, Yao; Lewis, Joshua P.; Hulot, Jean-Sébastien; Scott, Stuart A.

    2016-01-01

    Introduction Aspirin, clopidogrel, prasugrel and ticagrelor are antiplatelet agents for the prevention of ischemic events in patients with acute coronary syndromes (ACS), percutaneous coronary intervention (PCI), and other indications. Variability in response is observed to different degrees with these agents, which can translate to increased risks for adverse cardiovascular events. As such, potential pharmacogenetic determinants of antiplatelet pharmacokinetics, pharmacodynamics and clinical outcomes have been actively studied. Areas covered This article provides an overview of the available antiplatelet pharmacogenetics literature. Evidence supporting the significance of candidate genes and their potential influence on antiplatelet response and clinical outcomes are summarized and evaluated. Additional focus is directed at CYP2C19 and clopidogrel response, including the availability of clinical testing and genotype-directed antiplatelet therapy. Expert opinion The reported aspirin response candidate genes have not been adequately replicated and few candidate genes have thus far been implicated in prasugrel or ticagrelor response. However, abundant data supports the clinical validity of CYP2C19 and clopidogrel response variability among ACS/PCI patients. Although limited prospective trial data are available to support the utility of routine CYP2C19 testing, the increased risks for reduced clopidogrel efficacy among ACS/PCI patients that carry CYP2C19 loss-of-function alleles should be considered when genotype results are available. PMID:26173871

  10. Candidate gene association studies in syndromic and non-syndromic cleft lip and palate

    SciTech Connect

    Daack-Hirsch, S.; Basart, A.; Frischmeyer, P.

    1994-09-01

    Using ongoing case ascertainment through a birth defects registry, we have collected 219 nuclear families with non-syndromic cleft lip and/or palate and 111 families with a collection of syndromic forms. Syndromic cases include 24 with recognized forms and 72 with unrecognized syndromes. Candidate gene studies as well as genome-wide searches for evidence of microdeletions and isodisomy are currently being carried out. Candidate gene association studies, to date, have made use of PCR-based polymorphisms for TGFA, MSX1, CLPG13 (a CA repeat associated with a human homologue of a locus that results in craniofacial dysmorphogenesis in the mouse) and an STRP found in a Van der Woude syndrome microdeletion. Control tetranucleotide repeats, which insure that population-based differences are not responsible for any observed associations, are also tested. Studies of the syndromic cases have included the same list of candidate genes searching for evidence of microdeletions and a genome-wide search using tri- and tetranucleotide polymorphic markers to search for isodisomy or structural rearrangements. Significant associations have previously been identified for TGFA, and, in this report, identified for MSX1 and nonsyndromic cleft palate only (p = 0.04, uncorrected). Preliminary results of the genome-wide scan for isodisomy has returned no true positives and there has been no evidence for microdeletion cases.

  11. Candidate Gene Studies of a Promising Intermediate Phenotype: Failure to Replicate

    PubMed Central

    Hart, Amy B; de Wit, Harriet; Palmer, Abraham A

    2013-01-01

    Many candidate gene studies use ‘intermediate phenotypes' instead of disease diagnoses. It has been proposed that intermediate phenotypes have simpler genetic architectures such that individual alleles account for a larger percentage of trait variance. This implies that smaller samples can be used to identify genetic associations. Pharmacogenomic drug challenge studies may be an especially promising class of intermediate phenotype. We previously conducted a series of 12 candidate gene analyses of acute subjective and physiological responses to amphetamine in 99–162 healthy human volunteers (ADORA2A, SLC6A3, BDNF, SLC6A4, CSNK1E, SLC6A2, DRD2, FAAH, COMT, OPRM1). Here, we report our attempt to replicate these findings in over 200 additional participants ascertained using identical methodology. We were unable to replicate any of our previous findings. These results raise critical issues related to non-replication of candidate gene studies, such as power, sample size, multiple testing within and between studies, publication bias and the expectation that true allelic effect sizes are similar to those reported in genome-wide association studies. Many of these factors may have contributed to our failure to replicate our previous findings. Our results should instill caution in those considering similarly designed studies. PMID:23303064

  12. Few associations of candidate genes with nonsyndromic orofacial clefts in the population of Lithuania.

    PubMed

    Morkūniené, Ausra; Steponaviciūt, Danguole; Utkus, Algirdas; Kucinskas, Vaidutis

    2007-01-01

    Nonsyndromic orofacial clefting (NS-OFC) is a common complex multifactorial trait with a considerable genetic component and a number of candidate genes suggested by various approaches. Twenty biallelic and microsatellite DNA markers in the strong candidate loci TGFA, TGFB3, GABRB3, RARA, and BCL3 were analysed for allelic association with the NS-OFC phenotype in 112 nuclear families (proband + both parents) from Lithuania by using the transmission disequilibrium test (TDT). Associations were found between the TGFA gene marker rs2166975 and nonsyndromic cleft palate only (CPO) phenotype (p = 0.045, df 1) as well as between the D2S292 marker and the cleft lip with or without cleft palate (CL/CP) phenotype in allele-wise TDT (P = 0.005, df 9) and genotype-wise TDT (P = 0.021, df 24). A weak association (P = 0.085, df 3) of the BCL3 marker (BCL3 gene) with the risk of CPO was also found. Thus our initial results support the contribution of allelic variation in the TGFA locus to the aetiology of CL/CP in the population of Lithuania but they do not point to TGFA as a major causal gene. Different roles of the TGFA and BCL3 genes in the susceptibility to NS-OFC phenotypes are suggested. PMID:17272867

  13. Early embryonic failure: Expression and imprinted status of candidate genes on human chromosome 21

    SciTech Connect

    Sherman, L.S.; Bennett, P.R.; Moore, G.E.

    1994-09-01

    Two cases of maternal uniparental (hetero)disomy for human chromosome 21 (mUPD21) have been identified in a systematic search for UPD in 23 cases of early embryonic failure (EEF). Bi-parental origin of the other chromosome pairs was confirmed using specific VNTR probes or dinucleotide repeat analysis. Both maternally and paternally derived isochromosomes 21q have previously been identified in two individuals with normal phenotypes. Full UPD21 has a different mechanism of origin than uniparental isochromosome 21q and its effect on imprinted genes and phenotypic outcome will therefore not necessarily be the same. EEF associated with mUPD21 suggests that developmentally important genes on HSA 21 may be imprinted such that they are only expressed from either the maternally or paternally derived alleles. We have searched for monoallelic expression of candidate genes on HSA 21 in human pregnancy (CBS, IFNAR, COL6A1) using intragenic DNA polymorphisms. These genes were chosen either because their murine homologues lie in imprinted regions or because they are potentially important in embryogenesis. Once imprinted candidate genes have been identified, their methylation status and expression in normal, early embryonic failure and uniparental disomy 21 pregnancies will be studied. At the same time, a larger number of cases of EEF are being examined to further investigate the incidence of UPD21 in this group.

  14. Exome sequencing identifies SLC24A5 as a candidate gene for nonsyndromic oculocutaneous albinism.

    PubMed

    Wei, Ai-Hua; Zang, Dong-Jie; Zhang, Zhe; Liu, Xuan-Zhu; He, Xin; Yang, Lin; Wang, Yi; Zhou, Zhi-Yong; Zhang, Ming-Rong; Dai, Lan-Lan; Yang, Xiu-Min; Li, Wei

    2013-07-01

    Oculocutaneous albinism (OCA) is a heterogeneous and autosomal recessive disorder with hypopigmentation in the eye, hair, and skin color. Four genes, TYR, OCA2, TYRP1, and SLC45A2, have been identified as causative genes for nonsyndromic OCA1-4, respectively. The genetic identity of OCA5 locus on 4q24 is unknown. Additional unknown OCA genes may exist as at least 5% of OCA patients have not been characterized during mutational screening in several populations. We used exome sequencing with a family-based recessive mutation model to determine that SLC24A5 is a previously unreported candidate gene for nonsyndromic OCA, which we designate as OCA6. Two deleterious mutations in this patient, c.591G>A and c.1361insT, were identified. We found apparent increase of immature melanosomes and less mature melanosomes in the patient's skin melanocytes. However, no defects in the platelet dense granules were observed, excluding typical Hermansky-Pudlak syndrome (HPS), a well-known syndromic OCA. Moreover, the SLC24A5 protein was reduced in steady-state levels in mouse HPS mutants with deficiencies in BLOC-1 and BLOC-2. Our results suggest that SLC24A5 is a previously unreported nonsyndromic OCA candidate gene and that the SLC24A5 transporter is transported into mature melanosomes by HPS protein complexes. PMID:23364476

  15. Methylation profiling of 48 candidate genes in tumor and matched normal tissues from breast cancer patients.

    PubMed

    Li, Zibo; Guo, Xinwu; Wu, Yepeng; Li, Shengyun; Yan, Jinhua; Peng, Limin; Xiao, Zhi; Wang, Shouman; Deng, Zhongping; Dai, Lizhong; Yi, Wenjun; Xia, Kun; Tang, Lili; Wang, Jun

    2015-02-01

    Gene-specific methylation alterations in breast cancer have been suggested to occur early in tumorigenesis and have the potential to be used for early detection and prevention. The continuous increase in worldwide breast cancer incidences emphasizes the urgent need for identification of methylation biomarkers for early cancer detection and patient stratification. Using microfluidic PCR-based target enrichment and next-generation bisulfite sequencing technology, we analyzed methylation status of 48 candidate genes in paired tumor and normal tissues from 180 Chinese breast cancer patients. Analysis of the sequencing results showed 37 genes differentially methylated between tumor and matched normal tissues. Breast cancer samples with different clinicopathologic characteristics demonstrated distinct profiles of gene methylation. The methylation levels were significantly different between breast cancer subtypes, with basal-like and luminal B tumors having the lowest and the highest methylation levels, respectively. Six genes (ACADL, ADAMTSL1, CAV1, NPY, PTGS2, and RUNX3) showed significant differential methylation among the 4 breast cancer subtypes and also between the ER +/ER- tumors. Using unsupervised hierarchical clustering analysis, we identified a panel of 13 hypermethylated genes as candidate biomarkers that performed a high level of efficiency for cancer prediction. These 13 genes included CST6, DBC1, EGFR, GREM1, GSTP1, IGFBP3, PDGFRB, PPM1E, SFRP1, SFRP2, SOX17, TNFRSF10D, and WRN. Our results provide evidence that well-defined DNA methylation profiles enable breast cancer prediction and patient stratification. The novel gene panel might be a valuable biomarker for early detection of breast cancer. PMID:25636590

  16. Complex repetitive arrangements of gene sequence in the candidate region of the spinal muscular atrophy gene in 5q13

    SciTech Connect

    Theodosiou, A.M.; Nesbit, A.M.; Daniels, R.J.; Campbell, L.; Francis, M.J.; Christodoulou, Z.; Morrison, K.E.; Davies, K.E. |

    1994-12-01

    Childhood-onset proximal spinal muscular atrophy (SMA) is a heritable neurological disorder, which has been mapped by genetic linkage analysis to chromosome 5q13, in the interval between markers D5S435 and D5S557. Here, we present gene sequences that have been isolated from this interval, several of which show sequence homologies to exons of {beta}-glucuronidase. These gene sequences are repeated several times across the candidate region and are also present on chromosome 5p. The arrangement of these repetitive gene motifs is polymorphic between individuals. The high degree of variability observed may have some influence on the expression of the genes in the region. Since SMA is not inherited as a classical autosomal recessive disease, novel genomic rearrangements arising from aberrant recombination events between the complex repeats may be associated with the phenotype observed.

  17. Genomic convergence to identify candidate genes for Parkinson disease: SAGE analysis of the substantia nigra.

    PubMed

    Noureddine, Maher A; Li, Yi-Ju; van der Walt, Joelle M; Walters, Robert; Jewett, Rita M; Xu, Hong; Wang, Tianyuan; Walter, Jeffrey W; Scott, Burton L; Hulette, Christine; Schmechel, Don; Stenger, Judith E; Dietrich, Fred; Vance, Jeffery M; Hauser, Michael A

    2005-10-01

    Genomic convergence is a multistep approach that combines gene expression with genomic linkage to identify and prioritize susceptibility genes for complex disease. As a first step, we previously performed linkage analysis on 174 multiplex Parkinson's disease (PD) families, identifying five peaks for PD risk and two for genes affecting age at onset (AAO) in PD [Hauser et al., Hum Mol Genet 2003;12:671-677]. We report here the next step: serial analysis of gene expression [SAGE; Scott et al., JAMA 2001;286:2239-2242] to analyze substantia nigra tissue from three PD patients and two age-matched controls. We find 933 differentially expressed genes (P<0.05) between PD and controls, but of these, only 50 genes represented by unique SAGE tags map within our previously described PD linkage regions. Furthermore, genes encoded by mitochondrial DNA are expressed 1.5-fold higher in PD patients versus controls, without an increase in the corresponding nuclear-encoded mitochondrial components, suggesting an increase in mtDNA genomes in PD or a disjunction with nuclear expression. The next step in the genomic convergence process will be to screen these 50 high-quality candidate genes for association with PD risk susceptibility and genetic effects on AAO. PMID:15966006

  18. The systematic functional characterisation of Xq28 genes prioritises candidate disease genes

    PubMed Central

    Kolb-Kokocinski, Anja; Mehrle, Alexander; Bechtel, Stephanie; Simpson, Jeremy C; Kioschis, Petra; Wiemann, Stefan; Wellenreuther, Ruth; Poustka, Annemarie

    2006-01-01

    Background Well known for its gene density and the large number of mapped diseases, the human sub-chromosomal region Xq28 has long been a focus of genome research. Over 40 of approximately 300 X-linked diseases map to this region, and systematic mapping, transcript identification, and mutation analysis has led to the identification of causative genes for 26 of these diseases, leaving another 17 diseases mapped to Xq28, where the causative gene is still unknown. To expedite disease gene identification, we have initiated the functional characterisation of all known Xq28 genes. Results By using a systematic approach, we describe the Xq28 genes by RNA in situ hybridisation and Northern blotting of the mouse orthologs, as well as subcellular localisation and data mining of the human genes. We have developed a relational web-accessible database with comprehensive query options integrating all experimental data. Using this database, we matched gene expression patterns with affected tissues for 16 of the 17 remaining Xq28 linked diseases, where the causative gene is unknown. Conclusion By using this systematic approach, we have prioritised genes in linkage regions of Xq28-mapped diseases to an amenable number for mutational screens. Our database can be queried by any researcher performing highly specified searches including diseases not listed in OMIM or diseases that might be linked to Xq28 in the future. PMID:16503986

  19. Identification of candidate genes affecting Δ9-tetrahydrocannabinol biosynthesis in Cannabis sativa

    PubMed Central

    Marks, M. David; Tian, Li; Wenger, Jonathan P.; Omburo, Stephanie N.; Soto-Fuentes, Wilfredo; He, Ji; Gang, David R.; Weiblen, George D.; Dixon, Richard A.

    2009-01-01

    RNA isolated from the glands of a Δ9-tetrahydrocannabinolic acid (THCA)-producing strain of Cannabis sativa was used to generate a cDNA library containing over 100 000 expressed sequence tags (ESTs). Sequencing of over 2000 clones from the library resulted in the identification of over 1000 unigenes. Candidate genes for almost every step in the biochemical pathways leading from primary metabolites to THCA were identified. Quantitative PCR analysis suggested that many of the pathway genes are preferentially expressed in the glands. Hexanoyl-CoA, one of the metabolites required for THCA synthesis, could be made via either de novo fatty acids synthesis or via the breakdown of existing lipids. qPCR analysis supported the de novo pathway. Many of the ESTs encode transcription factors and two putative MYB genes were identified that were preferentially expressed in glands. Given the similarity of the Cannabis MYB genes to those in other species with known functions, these Cannabis MYBs may play roles in regulating gland development and THCA synthesis. Three candidates for the polyketide synthase (PKS) gene responsible for the first committed step in the pathway to THCA were characterized in more detail. One of these was identical to a previously reported chalcone synthase (CHS) and was found to have CHS activity. All three could use malonyl-CoA and hexanoyl-CoA as substrates, including the CHS, but reaction conditions were not identified that allowed for the production of olivetolic acid (the proposed product of the PKS activity needed for THCA synthesis). One of the PKS candidates was highly and specifically expressed in glands (relative to whole leaves) and, on the basis of these expression data, it is proposed to be the most likely PKS responsible for olivetolic acid synthesis in Cannabis glands. PMID:19581347

  20. Candidate gene analysis of GH1 for effects on growth and carcass composition of cattle.

    PubMed

    Taylor, J F; Coutinho, L L; Herring, K L; Gallagher, D S; Brenneman, R A; Burney, N; Sanders, J O; Turner, J W; Smith, S B; Miller, R K; Savell, J W; Davis, S K

    1998-06-01

    We present an approach to evaluate the support for candidate genes as quantitative trait loci (QTLs) within the context of genome-wide map-based cloning strategies. To establish candidacy, a bacterial artificial chromosome (BAC) clone containing a putative candidate gene is physically assigned to an anchored linkage map to localise the gene relative to an identified QTL effect. Microsatellite loci derived from BAC clones containing an established candidate gene are integrated into the linkage map facilitating the evaluation by interval analysis of the statistical support for QTL identity. Permutation analysis is employed to determine experiment-wise statistical support. The approach is illustrated for the growth hormone 1 (GH1) gene and growth and carcass phenotypes in cattle. Polymerase chain reaction (PCR) primers which amplify a 441 bp fragment of GH1 were used to systematically screen a bovine BAC library comprising 60,000 clones and with a 95% probability of containing a single copy sequence. The presence of GH1 in BAC-110R2C3 was confirmed by sequence analysis of the PCR product from this clone and by the physical assignment of BAC110R2C3 to bovine chromosome 19 (BTA19) band 22 by fluorescence in situ hybridisation (FISH). Microsatellite KHGH1 was isolated from BAC110R2C3 and scored in 529 reciprocal backcross and F2 fullsib progeny from 41 resource families derived from Angus (Bos taurus) and Brahman (Bos indicus). The microsatellite KHGH1 was incorporated into a framework genetic map of BTA19 comprising 12 microsatellite loci, the erythrocyte antigen T and a GH1-TaqI restriction fragment length polymorphism (RFLP). Interval analysis localised effects of taurus vs. indicus alleles on subcutaneous fat and the percentage of either extractable fat from the Iongissimus dorsi muscle to the region of BTA19 harbouring GH1. PMID:9720178

  1. Natural Genetic Variation and Candidate Genes for Morphological Traits in Drosophila melanogaster

    PubMed Central

    Carreira, Valeria Paula; Mensch, Julián; Hasson, Esteban; Fanara, Juan José

    2016-01-01

    Body size is a complex character associated to several fitness related traits that vary within and between species as a consequence of environmental and genetic factors. Latitudinal and altitudinal clines for different morphological traits have been described in several species of Drosophila and previous work identified genomic regions associated with such variation in D. melanogaster. However, the genetic factors that orchestrate morphological variation have been barely studied. Here, our main objective was to investigate genetic variation for different morphological traits associated to the second chromosome in natural populations of D. melanogaster along latitudinal and altitudinal gradients in Argentina. Our results revealed weak clinal signals and a strong population effect on morphological variation. Moreover, most pairwise comparisons between populations were significant. Our study also showed important within-population genetic variation, which must be associated to the second chromosome, as the lines are otherwise genetically identical. Next, we examined the contribution of different candidate genes to natural variation for these traits. We performed quantitative complementation tests using a battery of lines bearing mutated alleles at candidate genes located in the second chromosome and six second chromosome substitution lines derived from natural populations which exhibited divergent phenotypes. Results of complementation tests revealed that natural variation at all candidate genes studied, invected, Fasciclin 3, toucan, Reticulon-like1, jing and CG14478, affects the studied characters, suggesting that they are Quantitative Trait Genes for morphological traits. Finally, the phenotypic patterns observed suggest that different alleles of each gene might contribute to natural variation for morphological traits. However, non-additive effects cannot be ruled out, as wild-derived strains differ at myriads of second chromosome loci that may interact

  2. Identification of a strawberry flavor gene candidate using an integrated genetic-genomic-analytical chemistry approach

    PubMed Central

    2014-01-01

    Background There is interest in improving the flavor of commercial strawberry (Fragaria × ananassa) varieties. Fruit flavor is shaped by combinations of sugars, acids and volatile compounds. Many efforts seek to use genomics-based strategies to identify genes controlling flavor, and then designing durable molecular markers to follow these genes in breeding populations. In this report, fruit from two cultivars, varying for presence-absence of volatile compounds, along with segregating progeny, were analyzed using GC/MS and RNAseq. Expression data were bulked in silico according to presence/absence of a given volatile compound, in this case γ-decalactone, a compound conferring a peach flavor note to fruits. Results Computationally sorting reads in segregating progeny based on γ-decalactone presence eliminated transcripts not directly relevant to the volatile, revealing transcripts possibly imparting quantitative contributions. One candidate encodes an omega-6 fatty acid desaturase, an enzyme known to participate in lactone production in fungi, noted here as FaFAD1. This candidate was induced by ripening, was detected in certain harvests, and correlated with γ-decalactone presence. The FaFAD1 gene is present in every genotype where γ-decalactone has been detected, and it was invariably missing in non-producers. A functional, PCR-based molecular marker was developed that cosegregates with the phenotype in F1 and BC1 populations, as well as in many other cultivars and wild Fragaria accessions. Conclusions Genetic, genomic and analytical chemistry techniques were combined to identify FaFAD1, a gene likely controlling a key flavor volatile in strawberry. The same data may now be re-sorted based on presence/absence of any other volatile to identify other flavor-affecting candidates, leading to rapid generation of gene-specific markers. PMID:24742080

  3. Natural Genetic Variation and Candidate Genes for Morphological Traits in Drosophila melanogaster.

    PubMed

    Carreira, Valeria Paula; Mensch, Julián; Hasson, Esteban; Fanara, Juan José

    2016-01-01

    Body size is a complex character associated to several fitness related traits that vary within and between species as a consequence of environmental and genetic factors. Latitudinal and altitudinal clines for different morphological traits have been described in several species of Drosophila and previous work identified genomic regions associated with such variation in D. melanogaster. However, the genetic factors that orchestrate morphological variation have been barely studied. Here, our main objective was to investigate genetic variation for different morphological traits associated to the second chromosome in natural populations of D. melanogaster along latitudinal and altitudinal gradients in Argentina. Our results revealed weak clinal signals and a strong population effect on morphological variation. Moreover, most pairwise comparisons between populations were significant. Our study also showed important within-population genetic variation, which must be associated to the second chromosome, as the lines are otherwise genetically identical. Next, we examined the contribution of different candidate genes to natural variation for these traits. We performed quantitative complementation tests using a battery of lines bearing mutated alleles at candidate genes located in the second chromosome and six second chromosome substitution lines derived from natural populations which exhibited divergent phenotypes. Results of complementation tests revealed that natural variation at all candidate genes studied, invected, Fasciclin 3, toucan, Reticulon-like1, jing and CG14478, affects the studied characters, suggesting that they are Quantitative Trait Genes for morphological traits. Finally, the phenotypic patterns observed suggest that different alleles of each gene might contribute to natural variation for morphological traits. However, non-additive effects cannot be ruled out, as wild-derived strains differ at myriads of second chromosome loci that may interact

  4. Selection in the dopamine receptor 2 gene: a candidate SNP study

    PubMed Central

    Fieder, Martin

    2015-01-01

    Dopamine is a major neurotransmitter in the human brain and is associated with various diseases. Schizophrenia, for example, is treated by blocking the dopamine receptors type 2. Shaner, Miller & Mintz (2004) stated that schizophrenia was the low fitness variant of a highly variable mental trait. We therefore explore whether the dopamine receptor 2 gene (DRD2) underwent any selection processes. We acquired genotype data of the 1,000 Genomes project (phase I), which contains 1,093 individuals from 14 populations. We included single nucleotide polymorphisms (SNPs) with two minor allele frequencies (MAFs) in the analysis: MAF over 0.05 and over 0.01. This is equivalent to 151 SNPs (MAF > 0.05) and 246 SNPs (MAF > 0.01) for DRD2. We used two different approaches (an outlier approach and a Bayesian approach) to detect loci under selection. The combined results of both approaches yielded nine (MAF > 0.05) and two candidate SNPs (MAF > 0.01), under balancing selection. We also found weak signs for directional selection on DRD2, but in our opinion these were too weak to draw any final conclusions on directional selection in DRD2. All candidates for balancing selection are in the intronic region of the gene and only one (rs12574471) has been mentioned in the literature. Two of our candidate SNPs are located in specific regions of the gene: rs80215768 lies within a promoter flanking region and rs74751335 lies within a transcription factor binding site. We strongly encourage research on our candidate SNPs and their possible effects. PMID:26290802

  5. Genome-Wide Linkage Analysis of Global Gene Expression in Loin Muscle Tissue Identifies Candidate Genes in Pigs

    PubMed Central

    Steibel, Juan Pedro; Bates, Ronald O.; Rosa, Guilherme J. M.; Tempelman, Robert J.; Rilington, Valencia D.; Ragavendran, Ashok; Raney, Nancy E.; Ramos, Antonio Marcos; Cardoso, Fernando F.; Edwards, David B.; Ernst, Catherine W.

    2011-01-01

    Background Nearly 6,000 QTL have been reported for 588 different traits in pigs, more than in any other livestock species. However, this effort has translated into only a few confirmed causative variants. A powerful strategy for revealing candidate genes involves expression QTL (eQTL) mapping, where the mRNA abundance of a set of transcripts is used as the response variable for a QTL scan. Methodology/Principal Findings We utilized a whole genome expression microarray and an F2 pig resource population to conduct a global eQTL analysis in loin muscle tissue, and compared results to previously inferred phenotypic QTL (pQTL) from the same experimental cross. We found 62 unique eQTL (FDR <10%) and identified 3 gene networks enriched with genes subject to genetic control involved in lipid metabolism, DNA replication, and cell cycle regulation. We observed strong evidence of local regulation (40 out of 59 eQTL with known genomic position) and compared these eQTL to pQTL to help identify potential candidate genes. Among the interesting associations, we found aldo-keto reductase 7A2 (AKR7A2) and thioredoxin domain containing 12 (TXNDC12) eQTL that are part of a network associated with lipid metabolism and in turn overlap with pQTL regions for marbling, % intramuscular fat (% fat) and loin muscle area on Sus scrofa (SSC) chromosome 6. Additionally, we report 13 genomic regions with overlapping eQTL and pQTL involving 14 local eQTL. Conclusions/Significance Results of this analysis provide novel candidate genes for important complex pig phenotypes. PMID:21346809

  6. DGAT1, a new positional and functional candidate gene for intramuscular fat deposition in cattle.

    PubMed

    Thaller, G; Kühn, C; Winter, A; Ewald, G; Bellmann, O; Wegner, J; Zühlke, H; Fries, R

    2003-10-01

    Intramuscular fat content, also assessed as marbling of meat, represents an important beef quality trait. Recent work has mapped a quantitative trait locus (QTL) with an effect on marbling to the centromeric region of bovine chromosome 14, with the gene encoding thyroglobulin (TG) being proposed as a positional and functional candidate gene for this QTL. Recently, the gene encoding diacylglycerol O-acyltransferase (DGAT1), which also has been mapped within the region of the marbling QTL, has been demonstrated to affect the fat content of milk. In the present study, the effects of a 5'-polymorphism of TG and of a lysine/alanine polymorphism of DGAT1 on the fat content of musculus (m.) semitendinosus and m. longissimus dorsi in 55 bovine animals (28 German Holstein and 27 Charolais) has been investigated. Significant effects were found for both candidate genes in both the breeds. These effects seem to be independent of one another because the alleles of the two polymorphisms showed no statistically significant disequilibrium. The DGAT1 effect is mainly on the m. semitendinosus. The TG polymorphism only affects m. longissimus dorsi. However, both intramuscular fat enhancing effects seem to be recessive. The possibility of two linked loci, acting recessively on intramuscular fat content, will require special strategies when selecting for higher marbling scores. PMID:14510671

  7. Allelic effects of mouse Pas1 candidate genes in human lung cancer cell lines.

    PubMed

    Galbiati, Federica; Pettinicchio, Angela; Dragani, Tommaso A; Manenti, Giacomo

    2006-12-01

    Four of the six genes constituting the mouse Pulmonary adenoma susceptibility 1 (Pas1) locus haplotype carry amino acid variants: Lrmp, Casc1, Ghiso, and Lmna-rs1. In vitro colony formation assay of human lung cancer cell lines A549 and NCI-H520 transfected with the allelic variants of the four genes revealed allele-specific modulations of colony numbers by Lmna-rs1 and Casc1, but not by Lrmp or Ghiso. In A549 and NCI-H520 cells, the A/J allele of Lmna-rs1 produced approximately 4- and approximately 2-fold, respectively, more transfectants than did the C57BL/6J allele, whereas the A/J allele of Casc1 produced approximately 6- and approximately 5-fold fewer transfectants, respectively, as compared to the C57BL/6J allele. Inhibition of clonogenicity by allelic forms of Pas1 candidate genes was not mediated by induction of apoptosis. These findings provide evidence that allelic variants of mouse Pas1 candidate genes differentially modulate growth of human cancer cells. PMID:16458428

  8. Lack of haplotype structuring for two candidate genes for trypanotolerance in cattle.

    PubMed

    Álvarez, I; Pérez-Pardal, L; Traoré, A; Fernández, I; Goyache, F

    2016-04-01

    Bovine trypanotolerance is a heritable trait associated to the ability of the individuals to control parasitaemia and anaemia. The INHBA (BTA4) and TICAM1 (BTA7) genes are strong candidates for trypanotolerance-related traits. The coding sequence of both genes (3951 bp in total) were analysed in a panel including 79 Asian, African and European cattle (Bos taurus and B. indicus) to identify naturally occurring polymorphisms on both genes. In general, the genetic diversity was low. Nineteen of the 33 mutations identified were found just one time. Seventeen different haplotypes were defined for the TICAM1 gene, and 9 and 12 were defined for the exon 1 and the exon 2 of the INHBA gene, respectively. There was no clear separation between cattle groups. The most frequent haplotypes identified in West African taurine samples were also identified in other cattle groups including Asian zebu and European cattle. Phylogenetic trees and principal component analysis confirmed that divergence among the cattle groups analysed was poor, particularly for the INHBA sequences. The European cattle subset had the lowest values of haplotype diversity for both the exon1 (monomorphic) and the exon2 (0.077 ± 0.066) of the INHBA gene. Neutrality tests, in general, did not suggest that the analysed genes were under positive selection. The assessed scenario would be consistent with the identification of recent mutations in evolutionary terms. PMID:26365013

  9. Candidate Resistant Genes of Sand Pear (Pyrus pyrifolia Nakai) to Alternaria alternata Revealed by Transcriptome Sequencing

    PubMed Central

    Yang, Xiaoping; Hu, Hongju; Yu, Dazhao; Sun, Zhonghai; He, Xiujuan; Zhang, Jingguo; Chen, Qiliang; Tian, Rui; Fan, Jing

    2015-01-01

    Pear black spot (PBS) disease, which is caused by Alternaria alternata (Aa), is one of the most serious diseases affecting sand pear (Pyrus pyrifolia Nakai) cultivation worldwide. To investigate the defense mechanisms of sand pear in response to Aa, the transcriptome of a sand pear germplasm with differential resistance to Aa was analyzed using Illumina paired-end sequencing. Four libraries derived from PBS-resistant and PBS-susceptible sand pear leaves were characterized through inoculation or mock-inoculation. In total, 20.5 Gbp of sequence data and 101,632,565 reads were generated, representing 44717 genes. Approximately 66% of the genes or sequenced reads could be aligned to the pear reference genome. A large number (5213) of differentially expressed genes related to PBS resistance were obtained; 34 microsatellites were detected in these genes, and 28 genes were found to be closely related to PBS resistance. Using a transcriptome analysis in response to PBS inoculation and comparison analysis to the PHI database, 4 genes (Pbr039001, Pbr001627, Pbr025080 and Pbr023112) were considered to be promising candidates for sand pear resistance to PBS. This study provides insight into changes in the transcriptome of sand pear in response to PBS infection, and the findings have improved our understanding of the resistance mechanism of sand pear to PBS and will facilitate future gene discovery and functional genome studies of sand pear. PMID:26292286

  10. Whole Exome Sequencing in Females with Autism Implicates Novel and Candidate Genes

    PubMed Central

    Butler, Merlin G.; Rafi, Syed K.; Hossain, Waheeda; Stephan, Dietrich A.; Manzardo, Ann M.

    2015-01-01

    Classical autism or autistic disorder belongs to a group of genetically heterogeneous conditions known as Autism Spectrum Disorders (ASD). Heritability is estimated as high as 90% for ASD with a recently reported compilation of 629 clinically relevant candidate and known genes. We chose to undertake a descriptive next generation whole exome sequencing case study of 30 well-characterized Caucasian females with autism (average age, 7.7 ± 2.6 years; age range, 5 to 16 years) from multiplex families. Genomic DNA was used for whole exome sequencing via paired-end next generation sequencing approach and X chromosome inactivation status. The list of putative disease causing genes was developed from primary selection criteria using machine learning-derived classification score and other predictive parameters (GERP2, PolyPhen2, and SIFT). We narrowed the variant list to 10 to 20 genes and screened for biological significance including neural development, function and known neurological disorders. Seventy-eight genes identified met selection criteria ranging from 1 to 9 filtered variants per female. Five females presented with functional variants of X-linked genes (IL1RAPL1, PIR, GABRQ, GPRASP2, SYTL4) with cadherin, protocadherin and ankyrin repeat gene families most commonly altered (e.g., CDH6, FAT2, PCDH8, CTNNA3, ANKRD11). Other genes related to neurogenesis and neuronal migration (e.g., SEMA3F, MIDN), were also identified. PMID:25574603

  11. Identification and Candidate Gene Analysis of a Novel Phytophthora Resistance Gene Rps10 in a Chinese Soybean Cultivar

    PubMed Central

    Zhang, Jiqing; Xia, Changjian; Duan, Canxing; Sun, Suli; Wang, Xiaoming; Wu, Xiaofei; Zhu, Zhendong

    2013-01-01

    Resistance to Phytophthora sojae isolate PsMC1 was evaluated in 102 F2∶3 families derived from a cross between the resistant soybean cultivar Wandou 15 and the susceptible cultivar Williams and genotyped using simple sequence repeat (SSR) markers. The segregation ratio of resistant, segregating, and susceptible phenotypes in the population suggested that the resistance in Wandou 15 was dominant and monogenic. Twenty-six polymorphic SSR markers were identified on soybean chromosome 17 (Molecular linkage group D2; MLG D2), which were linked to the resistance gene based on bulked segregation analysis (BSA). Markers Sattwd15-24/25 and Sattwd15-47 flanked the resistance gene at a distance of 0.5 cM and 0.8 cM, respectively. Two cosegregating markers, Sattwd15-28 and Sattwd15-32, were also screened in this region. This is the first Rps resistance gene mapped on chromosome 17, which is designated as Rps10. Eight putative genes were found in the mapped region between markers Sattwd15-24/25 and Sattwd15-47. Among them, two candidate genes encoding serine/threonine (Ser/Thr) protein kinases in Wandou 15 and Williams were identified and sequenced. And the differences in genomic sequence and the putative amino acid sequence, respectively, were identified within each candidate gene between Wandou 15 and Williams. This novel gene Rps10 and the linked markers should be useful in developing soybean cultivars with durable resistance to P. sojae. PMID:23936102

  12. Semantic interrogation of a multi knowledge domain ontological model of tendinopathy identifies four strong candidate risk genes.

    PubMed

    Saunders, Colleen J; Jalali Sefid Dashti, Mahjoubeh; Gamieldien, Junaid

    2016-01-01

    Tendinopathy is a multifactorial syndrome characterised by tendon pain and thickening, and impaired performance during activity. Candidate gene association studies have identified genetic factors that contribute to intrinsic risk of developing tendinopathy upon exposure to extrinsic factors. Bioinformatics approaches that data-mine existing knowledge for biological relationships may assist with the identification of candidate genes. The aim of this study was to data-mine functional annotation of human genes and identify candidate genes by ontology-seeded queries capturing the features of tendinopathy. Our BioOntological Relationship Graph database (BORG) integrates multiple sources of genomic and biomedical knowledge into an on-disk semantic network where human genes and their orthologs in mouse and rat are central concepts mapped to ontology terms. The BORG was used to screen all human genes for potential links to tendinopathy. Following further prioritisation, four strong candidate genes (COL11A2, ELN, ITGB3, LOX) were identified. These genes are differentially expressed in tendinopathy, functionally linked to features of tendinopathy and previously implicated in other connective tissue diseases. In conclusion, cross-domain semantic integration of multiple sources of biomedical knowledge, and interrogation of phenotypes and gene functions associated with disease, may significantly increase the probability of identifying strong and unobvious candidate genes in genetic association studies. PMID:26804977

  13. Semantic interrogation of a multi knowledge domain ontological model of tendinopathy identifies four strong candidate risk genes

    PubMed Central

    Saunders, Colleen J.; Jalali Sefid Dashti, Mahjoubeh; Gamieldien, Junaid

    2016-01-01

    Tendinopathy is a multifactorial syndrome characterised by tendon pain and thickening, and impaired performance during activity. Candidate gene association studies have identified genetic factors that contribute to intrinsic risk of developing tendinopathy upon exposure to extrinsic factors. Bioinformatics approaches that data-mine existing knowledge for biological relationships may assist with the identification of candidate genes. The aim of this study was to data-mine functional annotation of human genes and identify candidate genes by ontology-seeded queries capturing the features of tendinopathy. Our BioOntological Relationship Graph database (BORG) integrates multiple sources of genomic and biomedical knowledge into an on-disk semantic network where human genes and their orthologs in mouse and rat are central concepts mapped to ontology terms. The BORG was used to screen all human genes for potential links to tendinopathy. Following further prioritisation, four strong candidate genes (COL11A2, ELN, ITGB3, LOX) were identified. These genes are differentially expressed in tendinopathy, functionally linked to features of tendinopathy and previously implicated in other connective tissue diseases. In conclusion, cross-domain semantic integration of multiple sources of biomedical knowledge, and interrogation of phenotypes and gene functions associated with disease, may significantly increase the probability of identifying strong and unobvious candidate genes in genetic association studies. PMID:26804977

  14. Exploiting Differential Gene Expression and Epistasis to Discover Candidate Genes for Drought-Associated QTLs in Arabidopsis thaliana

    PubMed Central

    Lovell, John T.; Mullen, Jack L.; Lowry, David B.; Awole, Kedija; Richards, James H.; Sen, Saunak; Verslues, Paul E.; Juenger, Thomas E.; McKay, John K.

    2015-01-01

    Soil water availability represents one of the most important selective agents for plants in nature and the single greatest abiotic determinant of agricultural productivity, yet the genetic bases of drought acclimation responses remain poorly understood. Here, we developed a systems-genetic approach to characterize quantitative trait loci (QTLs), physiological traits and genes that affect responses to soil moisture deficit in the TSUxKAS mapping population of Arabidopsis thaliana. To determine the effects of candidate genes underlying QTLs, we analyzed gene expression as a covariate within the QTL model in an effort to mechanistically link markers, RNA expression, and the phenotype. This strategy produced ranked lists of candidate genes for several drought-associated traits, including water use efficiency, growth, abscisic acid concentration (ABA), and proline concentration. As a proof of concept, we recovered known causal loci for several QTLs. For other traits, including ABA, we identified novel loci not previously associated with drought. Furthermore, we documented natural variation at two key steps in proline metabolism and demonstrated that the mitochondrial genome differentially affects genomic QTLs to influence proline accumulation. These findings demonstrate that linking genome, transcriptome, and phenotype data holds great promise to extend the utility of genetic mapping, even when QTL effects are modest or complex. PMID:25873386

  15. Lack of an association between candidate gene loci and idiopathic generalized epilepsy in Kuwaiti Arab children.

    PubMed

    Haider, M Z; Habeeb, Y; Al-Nakkas, E; Al-Anzi, H; Zaki, M; Al-Tawari, A; Al-Bloushi, M

    2005-10-01

    Idiopathic generalized epilepsies (IGEs) are the most common types of epilepsy in childhood and adolescence. A variety of data suggest that IGEs have a predominant genetic etiology. Recently, a number of gene mutations have been found to be associated with various types of epilepsy in mainly the Caucasian populations. The objective of this study was to investigate the association of three different candidate genes with IGE in Kuwaiti Arab children. This study includes 123 Kuwaiti patients with a confirmed diagnosis of epilepsy. Most of the patients have had a diagnostic EEG with generalized spike-wave discharges (GSWs). All patients were evaluated by using a validated seizure questionnaire. The clinical type of epilepsy was determined by a trained neurologist/pediatrician. The study also include 100 controls, the control subjects were children which did not have any history of neurological disorders. Blood samples were collected from all patients and control subjects after taking informed consent. DNA was isolated and analyzed by molecular methods. A FokI polymorphism in neuronal nicotinic acetylcholine receptor alpha-4 subunit (CHRNA4) gene was detected by PCR-RFLP method. A missense mutation (Ser248Phe) in CHRNA4 gene was analyzed by PCR-RFLP using HpaII. A C121W mutation in sodium-channel beta-1 subunit (SCN1B) gene was screened by a PCR-RFLP method using HinPI. A 2-bp deletion in Cystatin B gene was detected by PCR-RFLP using XcmI. The incidence of three FokI polymorphism genotypes in Kuwaiti IGE patients was 1,1 (85%), 1,2 (14%) and 2,2 (1%) respectively. The missense mutation Ser248Phe of CHRNA4 gene was not detected at all in Kuwaiti IGE patients. The C387G transversion resulting in C121W change in third exon of the SCN1B gene was detected in 3/123 patients (2%). The patients carrying this mutation also exhibited febrile seizures. The incidence of 2 bp deletion in the cystatin B gene was found to be 4% (5/123 IGE patients). The data obtained from molecular

  16. Root Transcriptome Analysis of Wild Peanut Reveals Candidate Genes for Nematode Resistance

    PubMed Central

    Guimaraes, Patricia M.; Guimaraes, Larissa A.; Morgante, Carolina V.; Silva, Orzenil B.; Araujo, Ana Claudia G.; Martins, Andressa C. Q.; Saraiva, Mario A. P.; Oliveira, Thais N.; Togawa, Roberto C.; Leal-Bertioli, Soraya C. M.; Bertioli, David J.; Brasileiro, Ana Cristina M.

    2015-01-01

    Wild peanut relatives (Arachis spp.) are genetically diverse and were adapted to a range of environments during the evolution course, constituting an important source of allele diversity for resistance to biotic and abiotic stresses. The wild diploid A. stenosperma harbors high levels of resistance to a variety of pathogens, including the root-knot nematode (RKN) Meloidogyne arenaria, through the onset of the Hypersensitive Response (HR). In order to identify genes and regulators triggering this defense response, a comprehensive root transcriptome analysis during the first stages of this incompatible interaction was conducted using Illumina Hi-Seq. Overall, eight cDNA libraries were produced generating 28.2 GB, which were de novo assembled into 44,132 contigs and 37,882 loci. Differentially expressed genes (DEGs) were identified and clustered according to their expression profile, with the majority being downregulated at 6 DAI, which coincides with the onset of the HR. Amongst these DEGs, 27 were selected for further qRT-PCR validation allowing the identification of nematode-responsive candidate genes that are putatively related to the resistance response. Those candidates are engaged in the salycilic (NBS-LRR, lipocalins, resveratrol synthase) and jasmonic (patatin, allene oxidase cyclase) acids pathways, and also related to hormonal balance (auxin responsive protein, GH3) and cellular plasticity and signaling (tetraspanin, integrin, expansin), with some of them showing contrasting expression behavior between Arachis RKN-resistant and susceptible genotypes. As these candidate genes activate different defensive signaling systems, the genetic (HR) and the induced resistance (IR), their pyramidding in one genotype via molecular breeding or transgenic strategy might contribute to a more durable resistance, thus improving the long-term control of RKN in peanut. PMID:26488731

  17. Haplotype structure enables prioritization of common markers and candidate genes in autism spectrum disorder

    PubMed Central

    Vardarajan, B N; Eran, A; Jung, J-Y; Kunkel, L M; Wall, D P

    2013-01-01

    Autism spectrum disorder (ASD) is a neurodevelopmental condition that results in behavioral, social and communication impairments. ASD has a substantial genetic component, with 88–95% trait concordance among monozygotic twins. Efforts to elucidate the causes of ASD have uncovered hundreds of susceptibility loci and candidate genes. However, owing to its polygenic nature and clinical heterogeneity, only a few of these markers represent clear targets for further analyses. In the present study, we used the linkage structure associated with published genetic markers of ASD to simultaneously improve candidate gene detection while providing a means of prioritizing markers of common genetic variation in ASD. We first mined the literature for linkage and association studies of single-nucleotide polymorphisms, copy-number variations and multi-allelic markers in Autism Genetic Resource Exchange (AGRE) families. From markers that reached genome-wide significance, we calculated male-specific genetic distances, in light of the observed strong male bias in ASD. Four of 67 autism-implicated regions, 3p26.1, 3p26.3, 3q25-27 and 5p15, were enriched with differentially expressed genes in blood and brain from individuals with ASD. Of 30 genes differentially expressed across multiple expression data sets, 21 were within 10 cM of an autism-implicated locus. Among them, CNTN4, CADPS2, SUMF1, SLC9A9, NTRK3 have been previously implicated in autism, whereas others have been implicated in neurological disorders comorbid with ASD. This work leverages the rich multimodal genomic information collected on AGRE families to present an efficient integrative strategy for prioritizing autism candidates and improving our understanding of the relationships among the vast collection of past genetic studies. PMID:23715297

  18. Identification of Gender-Specific Candidate Genes That Influence Bone Microarchitecture in Chromosome 1

    PubMed Central

    Mohan, Subburaman; Hu, Yan; Edderkaoui, Bouchra

    2016-01-01

    The studies on the identification of the genetic basis for sexual dimorphism in peak bone mass are obviously important toward providing novel therapeutic approaches to prevent or treat metabolic bone diseases. Our goal in this study is to identify the bone microstructure that could lead to differences in volumetric (v) bone mineral density (BMD) and identify new candidate genes that regulate the gender effect on bone. Therefore, we used a congenic line of mice that carry the BMD1-4 locus from CAST/EiJ (CAST) mice in a C57BL/6J (B6) background and show greater vBMD in female but not male congenics compared to age and gender matched B6 mice. To assess the vBMD variations between the two lines of mice, we performed micro-CT measurements and found no difference in cortical bone volume by tissue volume (BV/TV) between congenics and B6 mice. However, trabecular BV/TV was significantly greater in female but not male congenics compared to corresponding B6 mice which was due to increased trabecular thickness but not reduced trabecular separation suggesting that a bone formation but not a bone resorption is responsible for the trabecular bone phenotype observed in the female but not male congenics. To identify the gender candidate genes, we have determined the polymorphisms between B6 and CAST within the BMD1-4 locus and performed gene expression profiling. We have identified ef-hand calcium binding domain (Efcab2), consortin, connexin sorting protein (Cnst) and presenilin 2 (Psen2) as potential candidate genes that regulate bone mass by influencing trabecular thickness in a gender specific manner. PMID:23263656

  19. Candidate gene expression affects intramuscular fat content and fatty acid composition in pigs.

    PubMed

    Wang, Wei; Xue, Wenda; Jin, Bangquan; Zhang, Xixia; Ma, Fei; Xu, Xiaofeng

    2013-02-01

    The objective of this study was to correlate the expression pattern of candidate genes with the intramuscular fat (IMF) content and fatty acid composition of the Longissimus dorsi muscle of Duroc × Shanzhu commercial crossbred pigs. Animals of both sexes were slaughtered at a body weight of about 90 kg. The IMF content and fatty acid composition of the Longissimus dorsi muscle were measured and correlated with candidate genes mRNA expression (AdPLA, ADRB3, LEPR, MC4R, PPARγ, PPARα, LPL, PEPCK, and SCD). Females presented higher IMF content (p < 0.05) than males. The total saturated fatty acid (SFA) in males was greater (p < 0.01), whereas the total monounsaturated fatty acid (MUFA) (p < 0.01) and polyunsaturated fatty acid (PUFA) (p < 0.05) were lower than in females. The expressions of AdPLA, MC4R, PEPCK, and SCD correlated with the IMF content (p < 0.05). AdPLA showed a positive association with MUFA and a negative association with SFA (p < 0.05). LEPR and MC4R were both positively and significantly associated with C18:3 and C20:0 (p < 0.05). PPARα and PPARγ were negatively correlated with SFA, and PPARγ was positively associated with MUFA (p < 0.05). LPL was positively associated with MUFA and negatively associated with SFA (p < 0.05). PEPCK was negatively correlated with PUFA (p < 0.05). SCD was positively associated with MUFA (p < 0.05). The revealed correlations may confirm that these candidate genes are important for fat deposition and fatty acid composition in pigs, and the evaluation and use of these genes may be useful for improving porcine meat quality. PMID:23275256

  20. Haplotype structure enables prioritization of common markers and candidate genes in autism spectrum disorder.

    PubMed

    Vardarajan, B N; Eran, A; Jung, J-Y; Kunkel, L M; Wall, D P

    2013-01-01

    Autism spectrum disorder (ASD) is a neurodevelopmental condition that results in behavioral, social and communication impairments. ASD has a substantial genetic component, with 88-95% trait concordance among monozygotic twins. Efforts to elucidate the causes of ASD have uncovered hundreds of susceptibility loci and candidate genes. However, owing to its polygenic nature and clinical heterogeneity, only a few of these markers represent clear targets for further analyses. In the present study, we used the linkage structure associated with published genetic markers of ASD to simultaneously improve candidate gene detection while providing a means of prioritizing markers of common genetic variation in ASD. We first mined the literature for linkage and association studies of single-nucleotide polymorphisms, copy-number variations and multi-allelic markers in Autism Genetic Resource Exchange (AGRE) families. From markers that reached genome-wide significance, we calculated male-specific genetic distances, in light of the observed strong male bias in ASD. Four of 67 autism-implicated regions, 3p26.1, 3p26.3, 3q25-27 and 5p15, were enriched with differentially expressed genes in blood and brain from individuals with ASD. Of 30 genes differentially expressed across multiple expression data sets, 21 were within 10 cM of an autism-implicated locus. Among them, CNTN4, CADPS2, SUMF1, SLC9A9, NTRK3 have been previously implicated in autism, whereas others have been implicated in neurological disorders comorbid with ASD. This work leverages the rich multimodal genomic information collected on AGRE families to present an efficient integrative strategy for prioritizing autism candidates and improving our understanding of the relationships among the vast collection of past genetic studies. PMID:23715297

  1. Association between Variants in Atopy-Related Immunologic Candidate Genes and Pancreatic Cancer Risk

    PubMed Central

    Cotterchio, Michelle; Lowcock, Elizabeth; Bider-Canfield, Zoe; Lemire, Mathieu; Greenwood, Celia; Gallinger, Steven; Hudson, Thomas

    2015-01-01

    Background Many epidemiology studies report that atopic conditions such as allergies are associated with reduced pancreas cancer risk. The reason for this relationship is not yet understood. This is the first study to comprehensively evaluate the association between variants in atopy-related candidate genes and pancreatic cancer risk. Methods A population-based case-control study of pancreas cancer cases diagnosed during 2011-2012 (via Ontario Cancer Registry), and controls recruited using random digit dialing utilized DNA from 179 cases and 566 controls. Following an exhaustive literature review, SNPs in 180 candidate genes were pre-screened using dbGaP pancreas cancer GWAS data; 147 SNPs in 56 allergy-related immunologic genes were retained and genotyped. Logistic regression was used to estimate age-adjusted odd ratio (AOR) for each variant and false discovery rate was used to adjust Wald p-values for multiple testing. Subsequently, a risk allele score was derived based on statistically significant variants. Results 18 SNPs in 14 candidate genes (CSF2, DENND1B, DPP10, FLG, IL13, IL13RA2, LRP1B, NOD1, NPSR1, ORMDL3, RORA, STAT4, TLR6, TRA) were significantly associated with pancreas cancer risk. After adjustment for multiple comparisons, two LRP1B SNPs remained statistically significant; for example, LRP1B rs1449477 (AA vs. CC: AOR=0.37, 95% CI: 0.22-0.62; p (adjusted)=0.04). Furthermore, the risk allele score was associated with a significant reduction in pancreas cancer risk (p=0.0007). Conclusions Preliminary findings suggest certain atopy-related variants may be associated with pancreas cancer risk. Further studies are needed to replicate this, and to elucidate the biology behind the growing body of epidemiologic evidence suggesting allergies may reduce pancreatic cancer risk. PMID:25945796

  2. Root Transcriptome Analysis of Wild Peanut Reveals Candidate Genes for Nematode Resistance.

    PubMed

    Guimaraes, Patricia M; Guimaraes, Larissa A; Morgante, Carolina V; Silva, Orzenil B; Araujo, Ana Claudia G; Martins, Andressa C Q; Saraiva, Mario A P; Oliveira, Thais N; Togawa, Roberto C; Leal-Bertioli, Soraya C M; Bertioli, David J; Brasileiro, Ana Cristina M

    2015-01-01

    Wild peanut relatives (Arachis spp.) are genetically diverse and were adapted to a range of environments during the evolution course, constituting an important source of allele diversity for resistance to biotic and abiotic stresses. The wild diploid A. stenosperma harbors high levels of resistance to a variety of pathogens, including the root-knot nematode (RKN) Meloidogyne arenaria, through the onset of the Hypersensitive Response (HR). In order to identify genes and regulators triggering this defense response, a comprehensive root transcriptome analysis during the first stages of this incompatible interaction was conducted using Illumina Hi-Seq. Overall, eight cDNA libraries were produced generating 28.2 GB, which were de novo assembled into 44,132 contigs and 37,882 loci. Differentially expressed genes (DEGs) were identified and clustered according to their expression profile, with the majority being downregulated at 6 DAI, which coincides with the onset of the HR. Amongst these DEGs, 27 were selected for further qRT-PCR validation allowing the identification of nematode-responsive candidate genes that are putatively related to the resistance response. Those candidates are engaged in the salycilic (NBS-LRR, lipocalins, resveratrol synthase) and jasmonic (patatin, allene oxidase cyclase) acids pathways, and also related to hormonal balance (auxin responsive protein, GH3) and cellular plasticity and signaling (tetraspanin, integrin, expansin), with some of them showing contrasting expression behavior between Arachis RKN-resistant and susceptible genotypes. As these candidate genes activate different defensive signaling systems, the genetic (HR) and the induced resistance (IR), their pyramidding in one genotype via molecular breeding or transgenic strategy might contribute to a more durable resistance, thus improving the long-term control of RKN in peanut. PMID:26488731

  3. Association Analysis Suggests SOD2 as a Newly Identified Candidate Gene Associated With Leprosy Susceptibility.

    PubMed

    Ramos, Geovana Brotto; Salomão, Heloisa; Francio, Angela Schneider; Fava, Vinícius Medeiros; Werneck, Renata Iani; Mira, Marcelo Távora

    2016-08-01

    Genetic studies have identified several genes and genomic regions contributing to the control of host susceptibility to leprosy. Here, we test variants of the positional and functional candidate gene SOD2 for association with leprosy in 2 independent population samples. Family-based analysis revealed an association between leprosy and allele G of marker rs295340 (P = .042) and borderline evidence of an association between leprosy and alleles C and A of markers rs4880 (P = .077) and rs5746136 (P = .071), respectively. Findings were validated in an independent case-control sample for markers rs295340 (P = .049) and rs4880 (P = .038). These results suggest SOD2 as a newly identified gene conferring susceptibility to leprosy. PMID:27132285

  4. A family history study of schizophrenia spectrum disorders suggests new candidate genes in schizophrenia and autism.

    PubMed

    Goodman, A B

    1994-01-01

    To limit genetic heterogeneity, this study focused on the widely extended pedigrees of Ashkenazi Jewish schizophrenic and autistic probands, to determine if similar causal mechanisms might obtain for both conditions. At least two previous epidemiological studies have demonstrated increased risk for schizophrenia in Ashkenazi Jews. The hypothesis posed is that increased prevalence of various rare autosomal recessive diseases among the Ashkenazim might contribute to the increased vulnerability to schizophrenia and to autism in this large genetic isolate. Rates of amyotrophic lateral sclerosis (ALS) and bleeding disorders were significantly increased among relatives of schizophrenic and autistic probands, compared to relatives of normal probands. These results suggest new candidate loci in schizophrenia and autism, particularly the chromosome 15q23-24 locus of the hexosaminidase A gene, causing various GM2 gangliosidoses, and the 21q22.1-q22.2 loci of the antioxidant, superoxide dismutase gene, and a cytokine receptor gene. PMID:7831415

  5. Expression analysis of 13 ovine immune response candidate genes in Visna/Maedi disease progression.

    PubMed

    Larruskain, Amaia; Bernales, Irantzu; Luján, Lluis; de Andrés, Damián; Amorena, Beatriz; Jugo, Begoña M

    2013-07-01

    Visna/Maedi virus (VMV) is a lentivirus that infects cells of the monocyte/macrophage lineage in sheep. Infection with VMV may lead to Visna/Maedi (VM) disease, which causes a multisystemic inflammatory disorder causing pneumonia, encephalitis, mastitis and arthritis. The role of ovine immune response genes in the development of VM disease is not fully understood. In this work, sheep of the Rasa Aragonesa breed were divided into two groups depending on the presence/absence of VM-characteristic clinical lesions in the aforementioned organs and the relative levels of candidate gene expression, including cytokines and innate immunity loci were measured by qPCR in the lung and udder. Sheep with lung lesions showed differential expression in five target genes: CCR5, TLR7, and TLR8 were up regulated and IL2 and TNFα down regulated. TNFα up regulation was detected in the udder. PMID:23582860

  6. Analysis of SSH library of rice variety Aganni reveals candidate gall midge resistance genes.

    PubMed

    Divya, Dhanasekar; Singh, Y Tunginba; Nair, Suresh; Bentur, J S

    2016-03-01

    The Asian rice gall midge, Orseolia oryzae, is a serious insect pest causing extensive yield loss. Interaction between the gall midge and rice genotypes is known to be on a gene-for-gene basis. Here, we report molecular basis of HR- (hypersensitive reaction-negative) type of resistance in Aganni (an indica rice variety possessing gall midge resistance gene Gm8) through the construction and analysis of a suppressive subtraction hybridization (SSH) cDNA library. In all, 2,800 positive clones were sequenced and analyzed. The high-quality ESTs were assembled into 448 non-redundant gene sequences. Homology search with the NCBI databases, using BlastX and BlastN, revealed that 73% of the clones showed homology to genes with known function and majority of ESTs belonged to the gene ontology category 'biological process'. Validation of 27 putative candidate gall midge resistance genes through real-time PCR, following gall midge infestation, in contrasting parents and their derived pre-NILs (near isogenic lines) revealed induction of specific genes related to defense and metabolism. Interestingly, four genes, belonging to families of leucine-rich repeat (LRR), heat shock protein (HSP), pathogenesis related protein (PR), and NAC domain-containing protein, implicated in conferring HR+ type of resistance, were found to be up-regulated in Aganni. Two of the reactive oxygen intermediates (ROI)-scavenging-enzyme-coding genes Cytosolic Ascorbate Peroxidase1, 2 (OsAPx1 and OsAPx2) were found up-regulated in Aganni in incompatible interaction possibly suppressing HR. We suggest that Aganni has a deviant form of inducible, salicylic acid (SA)-mediated resistance but without HR. PMID:26801786

  7. Molecular Mapping and Candidate Gene Analysis for Numerous Spines on the Fruit of Cucumber.

    PubMed

    Zhang, Shengping; Liu, Shulin; Miao, Han; Wang, Min; Liu, Panna; Wehner, Todd C; Gu, Xingfang

    2016-09-01

    Number of spines on the fruit is an important quality trait in cucumber. The inheritance and identification of molecular markers for fruit spine density gene can provide a basis for breeding and lay the foundation for gene cloning. Cucumber inbred lines NCG-122 with numerous spines and NCG-121 with few spines were used for genetic analysis and gene mapping in this study. Genetic analysis showed that the numerous spines trait in NCG-122 was qualitative, and a single recessive nuclear gene (ns) controlled this trait. The few spines trait was dominant over the numerous spines trait. In the preliminary genetic mapping of the ns gene, 8 SSR markers were found to be linked to ns, which mapped to chromosome 2 (Chr.2) of cucumber. The closest flanking markers SSR22338 and SSR11596 were linked to the ns gene, with genetic distances of 10.2 and 1.7cM, respectively. One-hundred and thirty pairs of new SSR primers and 28 pairs of Indel primers were developed based on sequence information in the preliminary mapping region of ns Fifteen SSR markers and 2 Indel markers were identified to be linked to the ns gene after analysis on the F2 mapping population using the new molecular markers. The 2 closest flanking markers, SSRns-127 and SSR04219, were 0.7 and 2.4 cM from ns, respectively. The physical distance between SSRns-127 and SSR04219 was 266.1kb, containing 27 predicted genes. Csa2G285390 was speculated as the probable candidate gene for numerous spines. The accuracy of the closest linked marker to the ns gene, SSRns-127, for MAS breeding was 95.0%. PMID:27317924

  8. Candidate genes associated with bud dormancy release in blackcurrant (Ribes nigrum L.)

    PubMed Central

    2010-01-01

    Background The detrimental effects of mild winter temperatures on the consistency of cropping of blackcurrant (Ribes nigrum L.) in parts of Europe have led to increasing interest in the genetic control of dormancy release in this species. This study examined patterns of gene expression in leaf buds of blackcurrant to identify key differential changes in these profiles around the time of budbreak. Results Using leaf bud tissue of blackcurrant, a cDNA library was generated as a source of blackcurrant ESTs for construction of a custom microarray, which was used to identify differential gene expression during dormancy release. Gene activity was lowest in early stages of dormancy, increasing to reach a maximum around the time of budbreak. Genes with significantly changing expression profiles were clustered and evidence is provided for the transient activity of genes previously associated with dormancy processes in other species. Expression profiling identified candidate genes which were mapped onto a blackcurrant genetic linkage map containing budbreak-related QTL. Three genes, which putatively encode calmodulin-binding protein, beta tubulin and acetyl CoA carboxylase respectively, were found to co-localise with budbreak QTL. Conclusions This study provides insight into the genetic control of dormancy transition in blackcurrant, identifying key changes in gene expression around budbreak. Genetic mapping of ESTs enabled the identification of genes which co-localise with previously-characterised blackcurrant QTL, and it is concluded that these genes have probable roles in release of dormancy and can therefore provide a basis for the development of genetic markers for future breeding deployment. PMID:20840772

  9. Candidate Genes Within Tissue Culture Regeneration QTL Revisited with a Linkage Map Based on Transcript Derived Markers

    Technology Transfer Automated Retrieval System (TEKTRAN)

    Green plant regeneration from tissue culture is under the genetic control of multiple genes. Candidate genes for regeneration have been identified in multiple species using QTL and microarray analyses, and some of these genes have been verified as improving regeneration through transformation. Multi...

  10. A physical map of the heterozygous grapevine 'Cabernet Sauvignon' allows mapping candidate genes for disease resistance

    PubMed Central

    Moroldo, Marco; Paillard, Sophie; Marconi, Raffaella; Fabrice, Legeai; Canaguier, Aurelie; Cruaud, Corinne; De Berardinis, Veronique; Guichard, Cecile; Brunaud, Veronique; Le Clainche, Isabelle; Scalabrin, Simone; Testolin, Raffaele; Di Gaspero, Gabriele; Morgante, Michele; Adam-Blondon, Anne-Francoise

    2008-01-01

    Background Whole-genome physical maps facilitate genome sequencing, sequence assembly, mapping of candidate genes, and the design of targeted genetic markers. An automated protocol was used to construct a Vitis vinifera 'Cabernet Sauvignon' physical map. The quality of the result was addressed with regard to the effect of high heterozygosity on the accuracy of contig assembly. Its usefulness for the genome-wide mapping of genes for disease resistance, which is an important trait for grapevine, was then assessed. Results The physical map included 29,727 BAC clones assembled into 1,770 contigs, spanning 715,684 kbp, and corresponding to 1.5-fold the genome size. Map inflation was due to high heterozygosity, which caused either the separation of allelic BACs in two different contigs, or local mis-assembly in contigs containing BACs from the two haplotypes. Genetic markers anchored 395 contigs or 255,476 kbp to chromosomes. The fully automated assembly and anchorage procedures were validated by BAC-by-BAC blast of the end sequences against the grape genome sequence, unveiling 7.3% of chimerical contigs. The distribution across the physical map of candidate genes for non-host and host resistance, and for defence signalling pathways was then studied. NBS-LRR and RLK genes for host resistance were found in 424 contigs, 133 of them (32%) were assigned to chromosomes, on which they are mostly organised in clusters. Non-host and defence signalling genes were found in 99 contigs dispersed without a discernable pattern across the genome. Conclusion Despite some limitations that interfere with the correct assembly of heterozygous clones into contigs, the 'Cabernet Sauvignon' physical map is a useful and reliable intermediary step between a genetic map and the genome sequence. This tool was successfully exploited for a quick mapping of complex families of genes, and it strengthened previous clues of co-localisation of major NBS-LRR clusters and disease resistance loci in