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Sample records for genetic regulatory variants

  1. Genetic variants in regulatory regions of microRNAs are associated with lung cancer risk.

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    Xie, Kaipeng; Wang, Cheng; Qin, Na; Yang, Jianshui; Zhu, Meng; Dai, Juncheng; Jin, Guangfu; Shen, Hongbing; Ma, Hongxia; Hu, Zhibin

    2016-07-26

    Genetic variants in regulatory regions of some miRNAs might be associated with lung cancer risk and survival. We performed a case-control study including 1341 non-small cell lung cancer (NSCLC) cases and 1982 controls to evaluate the associations of 7 potentially functional polymorphisms in several differently expressed miRNAs with NSCLC risk. Each SNP was also tested for the association with overall survival of 1001 NSCLC patients. We identified that rs9660710 in miR-200b/200a/429 cluster and rs763354 in miR-30a were significantly associated with NSCLC risk [odds ratio (OR) = 1.17, 95% confidence interval (CI) = 1.06-1.30, P = 0.002; OR = 0.88, 95% CI = 0.80-0.98, P = 0.017; respectively]. However, no significant association between variants and NSCLC death risk was observed in survival analysis. Functional annotation showed that both rs9660710 and rs763354 were located in regulatory elements in lung cancer cells. Compared to normal tissues, miR-200a-3p, miR-200a-5p, miR-200b-3p, miR-200b-5p and miR-429 were significantly increased in The Cancer Genome Atlas (TCGA) Lung Adenocarcinoma (LUAD) tumors, whereas miR-30a-3p and miR-30a-5p were significantly decreased in tumors (all P < 0.05). Furthermore, we observed that rs9660710 is an expression quantitative trait locus (eQTL) or methylation eQTL for miR-429 expression in TCGA normal tissues. Our results indicated that rs9660710 in miR-200b/200a/429 cluster and rs763354 in miR-30a might modify the susceptibility to NSCLC.

  2. Modeling disease risk through analysis of physical interactions between genetic variants within chromatin regulatory circuitry.

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    Corradin, Olivia; Cohen, Andrea J; Luppino, Jennifer M; Bayles, Ian M; Schumacher, Fredrick R; Scacheri, Peter C

    2016-11-01

    SNPs associated with disease susceptibility often reside in enhancer clusters, or super-enhancers. Constituents of these enhancer clusters cooperate to regulate target genes and often extend beyond the linkage disequilibrium (LD) blocks containing risk SNPs identified in genome-wide association studies (GWAS). We identified 'outside variants', defined as SNPs in weak LD with GWAS risk SNPs that physically interact with risk SNPs as part of a target gene's regulatory circuitry. These outside variants further explain variation in target gene expression beyond that explained by GWAS-associated SNPs. Additionally, the clinical risk associated with GWAS SNPs is considerably modified by the genotype of outside variants. Collectively, these findings suggest a potential model in which outside variants and GWAS SNPs that physically interact in 3D chromatin collude to influence target transcript levels as well as clinical risk. This model offers an additional hypothesis for the source of missing heritability for complex traits.

  3. A trans-acting Variant within the Transcription Factor RIM101 Interacts with Genetic Background to Determine its Regulatory Capacity.

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    Read, Timothy; Richmond, Phillip A; Dowell, Robin D

    2016-01-01

    Most genetic variants associated with disease occur within regulatory regions of the genome, underscoring the importance of defining the mechanisms underlying differences in regulation of gene expression between individuals. We discovered a pair of co-regulated, divergently oriented transcripts, AQY2 and ncFRE6, that are expressed in one strain of Saccharomyces cerevisiae, ∑1278b, but not in another, S288c. By combining classical genetics techniques with high-throughput sequencing, we identified a trans-acting single nucleotide polymorphism within the transcription factor RIM101 that causes the background-dependent expression of both transcripts. Subsequent RNA-seq experiments revealed that RIM101 regulates many more targets in S288c than in ∑1278b and that deletion of RIM101 in both backgrounds abrogates the majority of differential expression between the strains. Strikingly, only three transcripts undergo a significant change in expression after swapping RIM101 alleles between backgrounds, implying that the differences in the RIM101 allele lead to a remarkably focused transcriptional response. However, hundreds of RIM101-dependent targets undergo a subtle but consistent shift in expression in the S288c RIM101-swapped strain, but not its ∑1278b counterpart. We conclude that ∑1278b may harbor a variant(s) that buffers against widespread transcriptional dysregulation upon introduction of a non-native RIM101 allele, emphasizing the importance of accounting for genetic background when assessing the impact of a regulatory variant.

  4. Glucokinase regulatory proten genetic variant interacts with omega-3 PUFA to influence insulin resistance and inflammation in metabolic syndrome

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    Glucokinase Regulatory Protein (GCKR) plays a central role regulating both hepatic triglyceride and glucose metabolism. Fatty acids are key metabolic regulators, which interact with genetic factors and influence glucose metabolism and other metabolic traits. Omega-3 polyunsaturated fatty acids (n-3...

  5. Evaluation of regulatory genetic variants in POU5F1 and risk of congenital heart disease in Han Chinese.

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    Lin, Yuan; Ding, Chenyue; Zhang, Kai; Ni, Bixian; Da, Min; Hu, Liang; Hu, Yuanli; Xu, Jing; Wang, Xiaowei; Chen, Yijiang; Mo, Xuming; Cui, Yugui; Shen, Hongbing; Sha, Jiahao; Liu, Jiayin; Hu, Zhibin

    2015-10-28

    OCT4 is a transcription factor of the POU family, which plays a key role in embryonic development and stem cell pluripotency. Previous studies have shown that Oct4 is required for cardiomyocyte differentiation in mice and its depletion could result in cardiac morphogenesis in embryo. However, whether the genetic variations in OCT4 coding gene, POU5F1, confer the predisposition to congenital heart disease (CHD) is unclear. This study sought to investigate the associations between low-frequency (defined here as having minor allele frequency (MAF) between 0.1%-5%) and rare (MAF below 0.1%) variants with potential function in POU5F1 and risk of CHD. We conducted association analysis in a two-stage case-control study with a total of 2,720 CHD cases and 3,331 controls in Chinese. The low-frequency variant rs3130933 was observed to be associated with a significantly increased risk of CHD [additive model: adjusted odds ratio (OR) = 2.15, adjusted P = 3.37 × 10(-6)]. Furthermore, luciferase activity assay showed that the variant A allele led to significantly lower expression levels as compared to the G allele. These findings indicate for the first time that low-frequency functional variant in POU5F1 may contribute to the risk of congenital heart malformations.

  6. Genetic Variants in the STMN1 Transcriptional Regulatory Region Affect Promoter Activity and Fear Behavior in English Springer Spaniels.

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    Xiaolin Ding

    Full Text Available Stathmin 1 (STMN1 is a neuronal growth-associated protein that is involved in microtubule dynamics and plays an important role in synaptic outgrowth and plasticity. Given that STMN1 affects fear behavior, we hypothesized that genetic variations in the STMN1 transcriptional regulatory region affect gene transcription activity and control fear behavior. In this study, two single nucleotide polymorphisms (SNPs, g. -327 A>G and g. -125 C>T, were identified in 317 English Springer Spaniels. A bioinformatics analysis revealed that both were loci located in the canine STMN1 putative promoter region and affected transcription factor binding. A statistical analysis revealed that the TT genotype at g.-125 C>T produced a significantly greater fear level than that of the CC genotype (P < 0.05. Furthermore, the H4H4 (GTGT haplotype combination was significantly associated with canine fear behavior (P < 0.01. Using serially truncated constructs of the STMN1 promoters and the luciferase reporter, we found that a 395 bp (-312 nt to +83 nt fragment constituted the core promoter region. The luciferase assay also revealed that the H4 (GT haplotype promoter had higher activity than that of other haplotypes. Overall, our results suggest that the two SNPs in the canine STMN1 promoter region could affect canine fear behavior by altering STMN1 transcriptional activity.

  7. The power of multiplexed functional analysis of genetic variants.

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    Gasperini, Molly; Starita, Lea; Shendure, Jay

    2016-10-01

    New technologies have recently enabled saturation mutagenesis and functional analysis of nearly all possible variants of regulatory elements or proteins of interest in single experiments. Here we discuss the past, present, and future of such multiplexed (functional) assays for variant effects (MAVEs). MAVEs provide detailed insight into sequence-function relationships, and they may prove critical for the prospective clinical interpretation of genetic variants.

  8. Association analysis identifies ZNF750 regulatory variants in psoriasis

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    Birnbaum Ramon Y

    2011-12-01

    Full Text Available Abstract Background Mutations in the ZNF750 promoter and coding regions have been previously associated with Mendelian forms of psoriasis and psoriasiform dermatitis. ZNF750 encodes a putative zinc finger transcription factor that is highly expressed in keratinocytes and represents a candidate psoriasis gene. Methods We examined whether ZNF750 variants were associated with psoriasis in a large case-control population. We sequenced the promoter and exon regions of ZNF750 in 716 Caucasian psoriasis cases and 397 Caucasian controls. Results We identified a total of 47 variants, including 38 rare variants of which 35 were novel. Association testing identified two ZNF750 haplotypes associated with psoriasis (p ZNF750 promoter and 5' UTR variants displayed a 35-55% reduction of ZNF750 promoter activity, consistent with the promoter activity reduction seen in a Mendelian psoriasis family with a ZNF750 promoter variant. However, the rare promoter and 5' UTR variants identified in this study did not strictly segregate with the psoriasis phenotype within families. Conclusions Two haplotypes of ZNF750 and rare 5' regulatory variants of ZNF750 were found to be associated with psoriasis. These rare 5' regulatory variants, though not causal, might serve as a genetic modifier of psoriasis.

  9. Regulatory element-based prediction identifies new susceptibility regulatory variants for osteoporosis.

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    Yao, Shi; Guo, Yan; Dong, Shan-Shan; Hao, Ruo-Han; Chen, Xiao-Feng; Chen, Yi-Xiao; Chen, Jia-Bin; Tian, Qing; Deng, Hong-Wen; Yang, Tie-Lin

    2017-08-01

    Despite genome-wide association studies (GWASs) have identified many susceptibility genes for osteoporosis, it still leaves a large part of missing heritability to be discovered. Integrating regulatory information and GWASs could offer new insights into the biological link between the susceptibility SNPs and osteoporosis. We generated five machine learning classifiers with osteoporosis-associated variants and regulatory features data. We gained the optimal classifier and predicted genome-wide SNPs to discover susceptibility regulatory variants. We further utilized Genetic Factors for Osteoporosis Consortium (GEFOS) and three in-house GWASs samples to validate the associations for predicted positive SNPs. The random forest classifier performed best among all machine learning methods with the F1 score of 0.8871. Using the optimized model, we predicted 37,584 candidate SNPs for osteoporosis. According to the meta-analysis results, a list of regulatory variants was significantly associated with osteoporosis after multiple testing corrections and contributed to the expression of known osteoporosis-associated protein-coding genes. In summary, combining GWASs and regulatory elements through machine learning could provide additional information for understanding the mechanism of osteoporosis. The regulatory variants we predicted will provide novel targets for etiology research and treatment of osteoporosis.

  10. A Regulatory MDM4 Genetic Variant Locating in the Binding Sequence of Multiple MicroRNAs Contributes to Susceptibility of Small Cell Lung Cancer.

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    Feng Gao

    Full Text Available A functional rs4245739 A>C single nucleotide polymorphism (SNP locating in the MDM43'-untranslated (3'-UTR region creates a miR-191-5p or miR-887-3p targeting sites. This change results in decreased expression of oncogene MDM4. Therefore, we examined the association between this SNP and small cell lung cancer (SCLC risk as well as its regulatory function in SCLC cells. Genotypes were determined in two independent case-control sets consisted of 520SCLC cases and 1040 controls from two regions of China. Odds ratios (ORs and 95% confidence intervals (CIs were estimated by logistic regression. The impact of the rs4245739 SNP on miR-191-5p/miR-887-3p mediated MDM4 expression regulation was investigated using luciferase reporter gene assays. We found that the MDM4 rs4245739AC and CC genotypes were significantly associated with decreased SCLC susceptibility compared with the AA genotype in both case-control sets (Shandong set: OR = 0.53, 95% CI = 0.32-0.89, P = 0.014; Jiangsu set: OR = 0.47, 95% CI = 0.26-0.879, P = 0.017. Stratified analyses indicated that there was a significantly multiplicative interaction between rs4245739 and smoking (Pinteractioin = 0.048. After co-tranfection of miRNAs and different allelic-MDM4 reporter constructs into SCLC cells, we found that the both miR-191-5p and miR-887-3p can lead to significantly decreased MDM4 expression activities in the construct with C-allelic 3'-UTR but not A-allelic 3'-UTR, suggesting a consistent genotype-phenotype correlation. Our data illuminate that the MDM4rs4245739SNP contributes to SCLC risk and support the notion that gene 3'-UTR genetic variants, impacting miRNA-binding, might modify SCLC susceptibility.

  11. Genetic variants in the regulatory region of SLC10A1 are not associated with the risk of hepatitis B virus infection and clearance.

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    Chen, Xueqin; Wang, Ying; Chen, Xiaohua; Cheng, Kailiang; Li, Jiaoyuan; Lou, Jiao; Ke, Juntao; Yang, Yang; Gong, Yajie; Zhu, Ying; Wang, Li; Zhong, Rong

    2016-10-01

    The Na/taurocholate cotransporter NTCP (encoded by SLC10A1) was identified as a cellular entry receptor for the human hepatitis B virus (HBV), advancing our understanding of the molecular mechanism of HBV infection. An alternative hypothesis was put forward that regulatory variants in SLC10A1 might play an important role in HBV susceptibility by potentially influencing expression levels of NTCP. The three regulatory SNPs (rs8011311, rs7154439, rs111409076) were genotyped in 1023 HBV-persistent carriers, 735 subjects with HBV natural clearance and 732 HBV marker-negative subjects in a Han Chinese population. Real-time reverse transcription PCR analysis and luciferase assays have been performed to dissect the potential functionality. In logistic regression analysis, when subjects with HBV natural clearance were compared with HBV marker-negative subjects, no significant associations with the risk of HBV infection were observed for any of the three SNPs after adjusting for age, sex, smoking status and alcohol consumption (P>0.05). Similar negative results were also found for the three SNPs when HBV-persistent carriers were compared with HBV marker-negative subjects. Likewise, no significant associations with the risk of HBV clearance were observed when HBV-persistent carriers were compared with subjects with HBV natural clearance (P>0.05). Quantitative RT/PCR showed no significant difference in NTCP expression levels in normal liver tissue amongst individuals with different rs111409076 genotypes (P=0.317 for the general linear model). Moreover, no evident effect of the SLC10A1 rs111409076 AACA/- polymorphism on transcriptional activity was found by luciferase assay in either HepG2 (P=0.161) or Hep3b (P=0.129) cell lines. The present study indicated that the common variants in the regulatory region of SLC10A1 may not influence the expression of NTCP at the level of transcriptional regulation, and ultimately may not be associated with HBV susceptibility in this Chinese

  12. A compendium of genetic variant data

    DEFF Research Database (Denmark)

    Cardoso, Joao; Schöning, Lars Yannik; Herrgard, Markus

    2014-01-01

    Laboratory strains are genetically unstable if exposed to selective pressure as encountered, for example, during molecular cloning, fermentation, or adaptive laboratory evolution experiments. This genetic variation is the consequence of an adaptation process of the microorganism to stress...... obtained from distinct experiments. This compendium of genetic variant is a critical step to develop approaches to automatically and systematically characterize mutated strains in the future....

  13. New genetic variants associated with prostate cancer

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    Researchers have newly identified 23 common genetic variants -- one-letter changes in DNA known as single-nucleotide polymorphisms or SNPs -- that are associated with risk of prostate cancer. These results come from an analysis of more than 10 million SNP

  14. Genetic variants associated with Crohn's disease

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    Michail S

    2013-07-01

    Full Text Available Sonia Michail,1 Gilberto Bultron,1 R William DePaolo2 1The University of Southern California, Children's Hospital of Los Angeles, Los Angeles, CA, USA; 2Molecular Microbiology and Immunology, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA Abstract: Crohn's disease is an immune-related disorder characterized by inflammation of the gastrointestinal mucosa, which can occur in any area throughout the digestive tract. This life-long disease commonly presents with abdominal pain, diarrhea, vomiting, and weight loss. While the exact etiology of this disease is largely unknown, it is thought to arise from an interaction between microbial, immunological, and environmental factors in a genetically susceptible host, whereby the immune system attacks the intestine as it cross reacts against gut microbial antigens. The study of genetic variants associated with Crohn's disease has shed light on our understanding of disease pathophysiology. A large number of genetic variants identified in Crohn's disease are related to genes targeting microbial recognition and bacterial wall sensing, the most common being NOD2/CARD15 gene. This review will discuss the recent advance in our knowledge of genetic variants of this disease and how they influence the disease course and prognosis. Keywords: Crohn's disease, genetics, autophagy

  15. Genetic variants in periodontal health and disease

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    Dumitrescu, Alexandrina L. [Tromsoe Univ. (Norway). Inst. of Clinical Dentistry; Kobayashi, Junya [Kyoto Univ. (Japan). Dept. of Genome Repair Dynamics

    2010-07-01

    Periodontitis is a complex, multifactorial disease and its susceptibility is genetically determined. The present book systematically reviews the evidence of the association between the genetic variants and periodontitis progression and/or treatment outcomes. Genetic syndromes known to be associated with periodontal disease, the candidate gene polymorphisms investigated in relation to periodontitis, the heritability of chronic and aggressive periodontitis, as well as common guidelines for association studies are described. This growing understanding of the role of genetic variation in inflammation and periodontal chronic disease presents opportunities to identify healthy persons who are at increased risk of disease and to potentially modify the trajectory of disease to prolong healthy aging. The book represents a new concept in periodontology with its pronounced focus on understanding through knowledge rather than presenting the presently valid answers. Connections between genetics and periodontology are systematically reviewed and covered in detail. (orig.)

  16. Association of genetic variants with diabetic nephropathy

    Institute of Scientific and Technical Information of China (English)

    Saliha; Rizvi; Syed; Tasleem; Raza; Farzana; Mahdi

    2014-01-01

    Diabetic nephropathy accounts for the most serious microvascular complication of diabetes mellitus. It is suggested that the prevalence of diabetic nephropathy will continue to increase in future posing a major challenge to the healthcare system resulting in increased morbidity and mortality. It occurs as a result of interaction between both genetic and environmental factors in individuals with both type 1 and type 2 diabetes. Genetic susceptibility has been proposed as an important factor for the development and progression of diabetic nephropathy, and various research efforts are being executed worldwide to identify the susceptibility gene for diabetic nephropathy. Numerous single nucleotide polymorphisms have been found in various genes giving rise to various gene variants which have been found to play a major role in genetic susceptibility to diabetic nephropathy. The risk of developing diabetic nephropathy is increased several times by inheriting risk alleles at susceptibility loci of various genes like ACE, IL, TNF-α, COL4A1, e NOS, SOD2, APOE, GLUT, etc. The identification of these genetic variants at a biomarker level could thus, allow the detection of those individuals at high risk for diabetic nephropathy which could thus help in the treatment, diagnosis and early prevention of the disease. The present review discusses about the various gene variants found till date to be associated with diabetic nephropathy.

  17. Association of genetic variants with diabetic nephropathy.

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    Rizvi, Saliha; Raza, Syed Tasleem; Mahdi, Farzana

    2014-12-15

    Diabetic nephropathy accounts for the most serious microvascular complication of diabetes mellitus. It is suggested that the prevalence of diabetic nephropathy will continue to increase in future posing a major challenge to the healthcare system resulting in increased morbidity and mortality. It occurs as a result of interaction between both genetic and environmental factors in individuals with both type 1 and type 2 diabetes. Genetic susceptibility has been proposed as an important factor for the development and progression of diabetic nephropathy, and various research efforts are being executed worldwide to identify the susceptibility gene for diabetic nephropathy. Numerous single nucleotide polymorphisms have been found in various genes giving rise to various gene variants which have been found to play a major role in genetic susceptibility to diabetic nephropathy. The risk of developing diabetic nephropathy is increased several times by inheriting risk alleles at susceptibility loci of various genes like ACE, IL, TNF-α, COL4A1, eNOS, SOD2, APOE, GLUT, etc. The identification of these genetic variants at a biomarker level could thus, allow the detection of those individuals at high risk for diabetic nephropathy which could thus help in the treatment, diagnosis and early prevention of the disease. The present review discusses about the various gene variants found till date to be associated with diabetic nephropathy.

  18. Genetics in psychiatry: common variant association studies

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    Buxbaum Joseph D

    2010-03-01

    Full Text Available Abstract Many psychiatric conditions and traits are associated with significant heritability. Genetic risk for psychiatric conditions encompass rare variants, identified due to major effect, as well as common variants, the latter analyzed by association analyses. We review guidelines for common variant association analyses, undertaking after assessing evidence of heritability. We highlight the importance of: suitably large sample sizes; an experimental design that controls for ancestry; careful data cleaning; correction for multiple testing; small P values for positive findings; assessment of effect size for positive findings; and, inclusion of an independent replication sample. We also note the importance of a critical discussion of any prior findings, biological follow-up where possible, and a means of accessing the raw data.

  19. A genetic variant in microRNA-122 regulatory region confers risk for chronic hepatitis B virus infection and hepatocellular carcinoma in Han Chinese.

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    Liu, Yao; Xie, Kaipeng; Wen, Juan; Deng, Min; Li, Jianming; Hu, Zhibin

    2014-10-01

    miR-122 plays a vital role in the development of chronic hepatitis B virus (HBV) infection and hepatocellular carcinoma (HCC). Based on data from the Encyclopedia of DNA Elements (ENCODE), two single nucleotide polymorphisms (SNPs), rs4309483 and rs4503880, were identified in the upstream regulatory region of miR-122. A case-control study consisting of 1,300 HBV-positive HCC cases, 1,344 HBV carriers, and 1,344 persons who cleared HBV naturally was carried out to test the association between the two SNPs and the risk for chronic HBV infection and HCC. The CA/AA genotypes of rs4309483 were associated with significantly increased risk for HCC [adjusted odds ratio (OR) = 1.21, 95% confidence intervals (CIs) = 1.02-1.43, P = 0.025] compared with HBV carriers, but decreased risk for chronic HBV infection (adjusted OR = 0.82, 95% CIs = 0.70-0.97, P = 0.017) compared with persons who cleared HBV naturally. The genotype-expression correlation between rs4309483 and the expression of primary or mature miR-122 expression was investigated in 29 pairs of HBV positive HCC and noncancerous liver tissues. In noncancerous liver tissues, subjects carrying the CA genotype exhibited significantly lower expression level of pri-miR-122 than those carrying the CC genotype. In addition, positive or inverse correlation between the expression levels of pri-miR-122 and mature miR-122 were observed in HCC tissues or noncancerous tissues, respectively. These findings indicate that the C to A base change of rs4309483 may alter the expression of miR-122, thus providing protective effect from chronic HBV infection but an increased risk for HCC in HBV carriers.

  20. Correlation of rare coding variants in the gene encoding human glucokinase regulatory protein with phenotypic, cellular, and kinetic outcomes.

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    Rees, Matthew G; Ng, David; Ruppert, Sarah; Turner, Clesson; Beer, Nicola L; Swift, Amy J; Morken, Mario A; Below, Jennifer E; Blech, Ilana; Mullikin, James C; McCarthy, Mark I; Biesecker, Leslie G; Gloyn, Anna L; Collins, Francis S

    2012-01-01

    Defining the genetic contribution of rare variants to common diseases is a major basic and clinical science challenge that could offer new insights into disease etiology and provide potential for directed gene- and pathway-based prevention and treatment. Common and rare nonsynonymous variants in the GCKR gene are associated with alterations in metabolic traits, most notably serum triglyceride levels. GCKR encodes glucokinase regulatory protein (GKRP), a predominantly nuclear protein that inhibits hepatic glucokinase (GCK) and plays a critical role in glucose homeostasis. The mode of action of rare GCKR variants remains unexplored. We identified 19 nonsynonymous GCKR variants among 800 individuals from the ClinSeq medical sequencing project. Excluding the previously described common missense variant p.Pro446Leu, all variants were rare in the cohort. Accordingly, we functionally characterized all variants to evaluate their potential phenotypic effects. Defects were observed for the majority of the rare variants after assessment of cellular localization, ability to interact with GCK, and kinetic activity of the encoded proteins. Comparing the individuals with functional rare variants to those without such variants showed associations with lipid phenotypes. Our findings suggest that, while nonsynonymous GCKR variants, excluding p.Pro446Leu, are rare in individuals of mixed European descent, the majority do affect protein function. In sum, this study utilizes computational, cell biological, and biochemical methods to present a model for interpreting the clinical significance of rare genetic variants in common disease.

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

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    ... July 20, 2014 Common gene variants account for most genetic risk for autism Roles of heritability, mutations, ... factors. Population-Based Autism Genetics and Environment Study Most of the genetic risk for autism comes from ...

  2. Genetic variants associated with lung function

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    Thyagarajan, Bharat; Wojczynski, Mary; Minster, Ryan L

    2014-01-01

    BACKGROUND: Reduced forced expiratory volume in 1 second (FEV1) and the ratio of FEV1 to forced vital capacity (FVC) are strong predictors of mortality and lung function is higher among individuals with exceptional longevity. However, genetic factors associated with lung function in individuals...... with exceptional longevity have not been identified. METHOD: We conducted a genome wide association study (GWAS) to identify novel genetic variants associated with lung function in the Long Life Family Study (LLFS) (n = 3,899). Replication was performed using data from the CHARGE/SpiroMeta consortia...... used the residuals of the FEV1 and FEV1/FVC, adjusted for age, sex, height, ancestry principal components (PCs), smoking status, pack-years, and field center. RESULTS: We identified nine SNPs in strong linkage disequilibrium in the CYP2U1 gene to be associated with FEV1 and a novel SNP (rs889574...

  3. Are Interactions between cis-Regulatory Variants Evidence for Biological Epistasis or Statistical Artifacts?

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    Fish, Alexandra E; Capra, John A; Bush, William S

    2016-10-06

    The importance of epistasis-or statistical interactions between genetic variants-to the development of complex disease in humans has been controversial. Genome-wide association studies of statistical interactions influencing human traits have recently become computationally feasible and have identified many putative interactions. However, statistical models used to detect interactions can be confounded, which makes it difficult to be certain that observed statistical interactions are evidence for true molecular epistasis. In this study, we investigate whether there is evidence for epistatic interactions between genetic variants within the cis-regulatory region that influence gene expression after accounting for technical, statistical, and biological confounding factors. We identified 1,119 (FDR = 5%) interactions that appear to regulate gene expression in human lymphoblastoid cell lines, a tightly controlled, largely genetically determined phenotype. Many of these interactions replicated in an independent dataset (90 of 803 tested, Bonferroni threshold). We then performed an exhaustive analysis of both known and novel confounders, including ceiling/floor effects, missing genotype combinations, haplotype effects, single variants tagged through linkage disequilibrium, and population stratification. Every interaction could be explained by at least one of these confounders, and replication in independent datasets did not protect against some confounders. Assuming that the confounding factors provide a more parsimonious explanation for each interaction, we find it unlikely that cis-regulatory interactions contribute strongly to human gene expression, which calls into question the relevance of cis-regulatory interactions for other human phenotypes. We additionally propose several best practices for epistasis testing to protect future studies from confounding. Copyright © 2016 American Society of Human Genetics. Published by Elsevier Inc. All rights reserved.

  4. Genetic flexibility of regulatory networks.

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    Hunziker, Alexander; Tuboly, Csaba; Horváth, Péter; Krishna, Sandeep; Semsey, Szabolcs

    2010-07-20

    Gene regulatory networks are based on simple building blocks such as promoters, transcription factors (TFs) and their binding sites on DNA. But how diverse are the functions that can be obtained by different arrangements of promoters and TF binding sites? In this work we constructed synthetic regulatory regions using promoter elements and binding sites of two noninteracting TFs, each sensing a single environmental input signal. We show that simply by combining these three kinds of elements, we can obtain 11 of the 16 Boolean logic gates that integrate two environmental signals in vivo. Further, we demonstrate how combination of logic gates can result in new logic functions. Our results suggest that simple elements of transcription regulation form a highly flexible toolbox that can generate diverse functions under natural selection.

  5. CRY2 genetic variants associate with dysthymia.

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    Leena Kovanen

    Full Text Available People with mood disorders often have disruptions in their circadian rhythms. Recent molecular genetics has linked circadian clock genes to mood disorders. Our objective was to study two core circadian clock genes, CRY1 and CRY2 as well as TTC1 that interacts with CRY2, in relation to depressive and anxiety disorders. Of these three genes, 48 single-nucleotide polymorphisms (SNPs whose selection was based on the linkage disequilibrium and potential functionality were genotyped in 5910 individuals from a nationwide population-based sample. The diagnoses of major depressive disorder, dysthymia and anxiety disorders were assessed with a structured interview (M-CIDI. In addition, the participants filled in self-report questionnaires on depressive and anxiety symptoms. Logistic and linear regression models were used to analyze the associations of the SNPs with the phenotypes. Four CRY2 genetic variants (rs10838524, rs7121611, rs7945565, rs1401419 associated significantly with dysthymia (false discovery rate q<0.05. This finding together with earlier CRY2 associations with winter depression and with bipolar type 1 disorder supports the view that CRY2 gene has a role in mood disorders.

  6. Genetic risk variants for social anxiety.

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    Stein, Murray B; Chen, Chia-Yen; Jain, Sonia; Jensen, Kevin P; He, Feng; Heeringa, Steven G; Kessler, Ronald C; Maihofer, Adam; Nock, Matthew K; Ripke, Stephan; Sun, Xiaoying; Thomas, Michael L; Ursano, Robert J; Smoller, Jordan W; Gelernter, Joel

    2017-03-01

    Social anxiety is a neurobehavioral trait characterized by fear and reticence in social situations. Twin studies have shown that social anxiety has a heritable basis, shared with neuroticism and extraversion, but genetic studies have yet to demonstrate robust risk variants. We conducted genomewide association analysis (GWAS) of subjects within the Army Study To Assess Risk and Resilience in Servicemembers (Army STARRS) to (i) determine SNP-based heritability of social anxiety; (ii) discern genetic risk loci for social anxiety; and (iii) determine shared genetic risk with neuroticism and extraversion. GWAS were conducted within ancestral groups (EUR, AFR, LAT) using linear regression models for each of the three component studies in Army STARRS, and then meta-analyzed across studies. SNP-based heritability for social anxiety was significant (h(2)g  = 0.12, P = 2.17 × 10(-4) in EUR). One meta-analytically genomewide significant locus was seen in each of EUR (rs708012, Chr 6: BP 36965970, P = 1.55 × 10(-8) ; beta = 0.073) and AFR (rs78924501, Chr 1: BP 88406905, P = 3.58 × 10(-8) ; beta = 0.265) samples. Social anxiety in Army STARRS was significantly genetically correlated (negatively) with extraversion (rg  = -0.52, se = 0.22, P = 0.02) but not with neuroticism (rg  = 0.05, se = 0.22, P = 0.81) or with an anxiety disorder factor score (rg  = 0.02, se = 0.32, P = 0.94) from external GWAS meta-analyses. This first GWAS of social anxiety confirms a genetic basis for social anxiety, shared with extraversion but possibly less so with neuroticism. © 2017 Wiley Periodicals, Inc. © 2017 Wiley Periodicals, Inc.

  7. Adaptation by Plasticity of Genetic Regulatory Networks

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    Brenner, Naama

    2007-03-01

    Genetic regulatory networks have an essential role in adaptation and evolution of cell populations. This role is strongly related to their dynamic properties over intermediate-to-long time scales. We have used the budding yeast as a model Eukaryote to study the long-term dynamics of the genetic regulatory system and its significance in evolution. A continuous cell growth technique (chemostat) allows us to monitor these systems over long times under controlled condition, enabling a quantitative characterization of dynamics: steady states and their stability, transients and relaxation. First, we have demonstrated adaptive dynamics in the GAL system, a classic model for a Eukaryotic genetic switch, induced and repressed by different carbon sources in the environment. We found that both induction and repression are only transient responses; over several generations, the system converges to a single robust steady state, independent of external conditions. Second, we explored the functional significance of such plasticity of the genetic regulatory network in evolution. We used genetic engineering to mimic the natural process of gene recruitment, placing the gene HIS3 under the regulation of the GAL system. Such genetic rewiring events are important in the evolution of gene regulation, but little is known about the physiological processes supporting them and the dynamics of their assimilation in a cell population. We have shown that cells carrying the rewired genome adapted to a demanding change of environment and stabilized a population, maintaining the adaptive state for hundreds of generations. Using genome-wide expression arrays we showed that underlying the observed adaptation is a global transcriptional programming that allowed tuning expression of the recruited gene to demands. Our results suggest that non-specific properties reflecting the natural plasticity of the regulatory network support adaptation of cells to novel challenges and enhance their evolvability.

  8. Targeted resequencing of regulatory regions at schizophrenia risk loci: Role of rare functional variants at chromatin repressive states.

    Science.gov (United States)

    González-Peñas, Javier; Amigo, Jorge; Santomé, Luis; Sobrino, Beatriz; Brenlla, Julio; Agra, Santiago; Paz, Eduardo; Páramo, Mario; Carracedo, Ángel; Arrojo, Manuel; Costas, Javier

    2016-07-01

    There is mounting evidence that regulatory variation plays an important role in genetic risk for schizophrenia. Here, we specifically search for regulatory variants at risk by sequencing promoter regions of twenty-three genes implied in schizophrenia by copy number variant or genome-wide association studies. After strict quality control, a total of 55,206bp per sample were analyzed in 526 schizophrenia cases and 516 controls from Galicia, NW Spain, using the Applied Biosystems SOLiD System. Variants were filtered based on frequency from public databases, chromatin states from the RoadMap Epigenomics Consortium at tissues relevant for schizophrenia, such as fetal brain, mid-frontal lobe, and angular gyrus, and prediction of functionality from RegulomeDB. The proportion of rare variants at polycomb repressive chromatin state at relevant tissues was higher in cases than in controls. The proportion of rare variants with predicted regulatory role was significantly higher in cases than in controls (P=0.0028, OR=1.93, 95% C.I.=1.23-3.04). Combination of information from both sources led to the identification of an excess of carriers of rare variants with predicted regulatory role located at polycomb repressive chromatin state at relevant tissues in cases versus controls (P=0.0016, OR=19.34, 95% C.I.=2.45-2495.26). The variants are located at two genes affected by the 17q12 copy number variant, LHX1 and HNF1B. These data strongly suggest that a specific epigenetic mechanism, chromatin remodeling by histone modification during early development, may be impaired in a subset of schizophrenia patients, in agreement with previous data.

  9. Myostatin: genetic variants, therapy and gene doping

    Directory of Open Access Journals (Sweden)

    André Katayama Yamada

    2012-09-01

    Full Text Available Since its discovery, myostatin (MSTN has been at the forefront of muscle therapy research because intrinsic mutations or inhibition of this protein, by either pharmacological or genetic means, result in muscle hypertrophy and hyperplasia. In addition to muscle growth, MSTN inhibition potentially disturbs connective tissue, leads to strength modulation, facilitates myoblast transplantation, promotes tissue regeneration, induces adipose tissue thermogenesis and increases muscle oxidative phenotype. It is also known that current advances in gene therapy have an impact on sports because of the illicit use of such methods. However, the adverse effects of these methods, their impact on athletic performance in humans and the means of detecting gene doping are as yet unknown. The aim of the present review is to discuss biosynthesis, genetic variants, pharmacological/genetic manipulation, doping and athletic performance in relation to the MSTN pathway. As will be concluded from the manuscript, MSTN emerges as a promising molecule for combating muscle wasting diseases and for triggering wide-ranging discussion in view of its possible use in gene doping.Desde sua descoberta, a miostatina (MSTN entrou na linha de frente em pesquisas relacionadas às terapias musculares porque mutações intrínsecas ou inibição desta proteína tanto por abordagens farmacológicas como genéticas resultam em hipertrofia muscular e hiperplasia. Além do aumento da massa muscular, a inibição de MSTN potencialmente prejudica o tecido conectivo, modula a força muscular, facilita o transplante de mioblastos, promove regeneração tecidual, induz termogênese no tecido adiposo e aumenta a oxidação na musculatura esquelética. É também sabido que os atuais avanços em terapia gênica têm uma relação com o esporte devido ao uso ilícito de tal método. Os efeitos adversos de tal abordagem, seus efeitos no desempenho de atletas e métodos para detectar doping genético s

  10. Population Dynamics of Genetic Regulatory Networks

    Science.gov (United States)

    Braun, Erez

    2005-03-01

    Unlike common objects in physics, a biological cell processes information. The cell interprets its genome and transforms the genomic information content, through the action of genetic regulatory networks, into proteins which in turn dictate its metabolism, functionality and morphology. Understanding the dynamics of a population of biological cells presents a unique challenge. It requires to link the intracellular dynamics of gene regulation, through the mechanism of cell division, to the level of the population. We present experiments studying adaptive dynamics of populations of genetically homogeneous microorganisms (yeast), grown for long durations under steady conditions. We focus on population dynamics that do not involve random genetic mutations. Our experiments follow the long-term dynamics of the population distributions and allow to quantify the correlations among generations. We focus on three interconnected issues: adaptation of genetically homogeneous populations following environmental changes, selection processes on the population and population variability and expression distributions. We show that while the population exhibits specific short-term responses to environmental inputs, it eventually adapts to a robust steady-state, largely independent of external conditions. Cycles of medium-switch show that the adapted state is imprinted in the population and that this memory is maintained for many generations. To further study population adaptation, we utilize the process of gene recruitment whereby a gene naturally regulated by a specific promoter is placed under a different regulatory system. This naturally occurring process has been recognized as a major driving force in evolution. We have recruited an essential gene to a foreign regulatory network and followed the population long-term dynamics. Rewiring of the regulatory network allows us to expose their complex dynamics and phase space structure.

  11. [Genetic variants associated to male infertility in Mexican patients].

    Science.gov (United States)

    Piña-Aguilar, Raúl Eduardo; Chima-Galán, María del Carmen; Yerena-de-vega, María de la Concepción A; Regalado-Hernández, Miguel Angel; Sánchez-Guerrero, Cecilia; García-Ortiz, Liliana; Santillán-Hernández, Yuritzi; Moreno-García, Jesús Daniel

    2013-05-01

    Recently Mexican Federation of Obstetrics and Gynecology Colleges (Federación Mexicana de Colegios de Obstetricia y Ginecologia, FEMECOG) published the Mexican guideline forthe management of male infertility, which suggests performing genetic laboratory tests as part of diagnosis and management of infertile patients and states that these should receive genetic counseling. This paper reviews the genetic approach proposed by Mexican guideline. A systematic review of medical literature was performed in Pubmed and Web of Knowledge from 1980 to 2012 in order to find reports of genetic variants associated to male infertility in Mexican patients. Also it is discussed the current knowledge of these variants, their clinical implications and finally the guidelines and recommendations for their molecular diagnosis. Most genetic variants in Mexican infertile patients are chromosome abnormalities. In relation to other variants there is only a report of Y chromosome microdeletions, repeated CAG in androgen receptor and more common mutations in CFTR, and other article reporting mutations in CFTR in patients with congenital absence of vas deferens. Little is known about the genetics of Mexican infertile patients apart from chromosome abnormalities. However, the contribution of genetics as etiology of male infertility is taking more relevance and currently the consensual management of infertile male should include the screening of genetic background. This review pretends to be a quick guide for clinicians who want to know about reports of genetic variants related to male infertility in Mexican population and how to approach their diagnosis.

  12. Genetic variant as a marker for bladder cancer therapy

    Science.gov (United States)

    Patients who have inherited a specific common genetic variant develop bladder cancer tumors that strongly express a protein known as prostate stem cell antigen (PSCA), which is also expressed in many pancreatic and prostate tumors, according to research a

  13. Determining the pathogenicity of genetic variants associated with cardiac channelopathies.

    Science.gov (United States)

    Campuzano, Oscar; Allegue, Catarina; Fernandez, Anna; Iglesias, Anna; Brugada, Ramon

    2015-01-22

    Advancements in genetic screening have generated massive amounts of data on genetic variation; however, a lack of clear pathogenic stratification has left most variants classified as being of unknown significance. This is a critical limitation for translating genetic data into clinical practice. Genetic screening is currently recommended in the guidelines for diagnosis and treatment of cardiac channelopathies, which are major contributors to sudden cardiac death in young people. We propose to characterize the pathogenicity of genetic variants associated with cardiac channelopathies using a stratified scoring system. The development of this system was considered by using all of the tools currently available to define pathogenicity. The use of this scoring system could help clinicians to understand the limitations of genetic associations with a disease, and help them better define the role that genetics can have in their clinical routine.

  14. Evolutionary algorithms in genetic regulatory networks model

    CERN Document Server

    Raza, Khalid

    2012-01-01

    Genetic Regulatory Networks (GRNs) plays a vital role in the understanding of complex biological processes. Modeling GRNs is significantly important in order to reveal fundamental cellular processes, examine gene functions and understanding their complex relationships. Understanding the interactions between genes gives rise to develop better method for drug discovery and diagnosis of the disease since many diseases are characterized by abnormal behaviour of the genes. In this paper we have reviewed various evolutionary algorithms-based approach for modeling GRNs and discussed various opportunities and challenges.

  15. Genetic Regulatory Networks in Embryogenesis and Evolution

    Science.gov (United States)

    1998-01-01

    The article introduces a series of papers that were originally presented at a workshop titled Genetic Regulatory Network in Embryogenesis and Evaluation. Contents include the following: evolution of cleavage programs in relationship to axial specification and body plan evolution, changes in cell lineage specification elucidate evolutionary relations in spiralia, axial patterning in the leech: developmental mechanisms and evolutionary implications, hox genes in arthropod development and evolution, heterochronic genes in development and evolution, a common theme for LIM homeobox gene function across phylogeny, and mechanisms of specification in ascidian embryos.

  16. Splitting Strategy for Simulating Genetic Regulatory Networks

    Directory of Open Access Journals (Sweden)

    Xiong You

    2014-01-01

    Full Text Available The splitting approach is developed for the numerical simulation of genetic regulatory networks with a stable steady-state structure. The numerical results of the simulation of a one-gene network, a two-gene network, and a p53-mdm2 network show that the new splitting methods constructed in this paper are remarkably more effective and more suitable for long-term computation with large steps than the traditional general-purpose Runge-Kutta methods. The new methods have no restriction on the choice of stepsize due to their infinitely large stability regions.

  17. The role of common genetic variants in atrial fibrillation

    DEFF Research Database (Denmark)

    Paludan-Muller, Christian; Svendsen, Jesper H.; Olesen, Morten S.

    2016-01-01

    this approach. Highly penetrant variants in lone AF have also been described in a number of cases. Furthermore, familial AF, although rare, have been recognized for many years. Variants associated with AF have been identified in more than 40 genes, including cardiac gap junction proteins, ion channels and beta......This review focuses on the genetic basis of atrial fibrillation (AF) and the role of variants in the susceptibility of developing the disease. AF is the most common cardiac arrhythmia affecting 1-2% of the general population. Studies in the last decade have demonstrated that AF, and in particular...... and non-cardiac diseases....

  18. Genetically complex epilepsies, copy number variants and syndrome constellations.

    Science.gov (United States)

    Mefford, Heather C; Mulley, John C

    2010-10-05

    Epilepsy is one of the most common neurological disorders, with a prevalence of 1% and lifetime incidence of 3%. There are numerous epilepsy syndromes, most of which are considered to be genetic epilepsies. Despite the discovery of more than 20 genes for epilepsy to date, much of the genetic contribution to epilepsy is not yet known. Copy number variants have been established as an important source of mutation in other complex brain disorders, including intellectual disability, autism and schizophrenia. Recent advances in technology now facilitate genome-wide searches for copy number variants and are beginning to be applied to epilepsy. Here, we discuss what is currently known about the contribution of copy number variants to epilepsy, and how that knowledge is redefining classification of clinical and genetic syndromes.

  19. Dynamics of network motifs in genetic regulatory networks

    Institute of Scientific and Technical Information of China (English)

    Li Ying; Liu Zeng-Rong; Zhang Jian-Bao

    2007-01-01

    Network motifs hold a very important status in genetic regulatory networks. This paper aims to analyse the dynamical property of the network motifs in genetic regulatory networks. The main result we obtained is that the dynamical property of a single motif is very simple with only an asymptotically stable equilibrium point, but the combination of several motifs can make more complicated dynamical properties emerge such as limit cycles. The above-mentioned result shows that network motif is a stable substructure in genetic regulatory networks while their combinations make the genetic regulatory network more complicated.

  20. Common genetic variants influence human subcortical brain structures.

    Science.gov (United States)

    Hibar, Derrek P; Stein, Jason L; Renteria, Miguel E; Arias-Vasquez, Alejandro; Desrivières, Sylvane; Jahanshad, Neda; Toro, Roberto; Wittfeld, Katharina; Abramovic, Lucija; Andersson, Micael; Aribisala, Benjamin S; Armstrong, Nicola J; Bernard, Manon; Bohlken, Marc M; Boks, Marco P; Bralten, Janita; Brown, Andrew A; Chakravarty, M Mallar; Chen, Qiang; Ching, Christopher R K; Cuellar-Partida, Gabriel; den Braber, Anouk; Giddaluru, Sudheer; Goldman, Aaron L; Grimm, Oliver; Guadalupe, Tulio; Hass, Johanna; Woldehawariat, Girma; Holmes, Avram J; Hoogman, Martine; Janowitz, Deborah; Jia, Tianye; Kim, Sungeun; Klein, Marieke; Kraemer, Bernd; Lee, Phil H; Olde Loohuis, Loes M; Luciano, Michelle; Macare, Christine; Mather, Karen A; Mattheisen, Manuel; Milaneschi, Yuri; Nho, Kwangsik; Papmeyer, Martina; Ramasamy, Adaikalavan; Risacher, Shannon L; Roiz-Santiañez, Roberto; Rose, Emma J; Salami, Alireza; Sämann, Philipp G; Schmaal, Lianne; Schork, Andrew J; Shin, Jean; Strike, Lachlan T; Teumer, Alexander; van Donkelaar, Marjolein M J; van Eijk, Kristel R; Walters, Raymond K; Westlye, Lars T; Whelan, Christopher D; Winkler, Anderson M; Zwiers, Marcel P; Alhusaini, Saud; Athanasiu, Lavinia; Ehrlich, Stefan; Hakobjan, Marina M H; Hartberg, Cecilie B; Haukvik, Unn K; Heister, Angelien J G A M; Hoehn, David; Kasperaviciute, Dalia; Liewald, David C M; Lopez, Lorna M; Makkinje, Remco R R; Matarin, Mar; Naber, Marlies A M; McKay, D Reese; Needham, Margaret; Nugent, Allison C; Pütz, Benno; Royle, Natalie A; Shen, Li; Sprooten, Emma; Trabzuni, Daniah; van der Marel, Saskia S L; van Hulzen, Kimm J E; Walton, Esther; Wolf, Christiane; Almasy, Laura; Ames, David; Arepalli, Sampath; Assareh, Amelia A; Bastin, Mark E; Brodaty, Henry; Bulayeva, Kazima B; Carless, Melanie A; Cichon, Sven; Corvin, Aiden; Curran, Joanne E; Czisch, Michael; de Zubicaray, Greig I; Dillman, Allissa; Duggirala, Ravi; Dyer, Thomas D; Erk, Susanne; Fedko, Iryna O; Ferrucci, Luigi; Foroud, Tatiana M; Fox, Peter T; Fukunaga, Masaki; Gibbs, J Raphael; Göring, Harald H H; Green, Robert C; Guelfi, Sebastian; Hansell, Narelle K; Hartman, Catharina A; Hegenscheid, Katrin; Heinz, Andreas; Hernandez, Dena G; Heslenfeld, Dirk J; Hoekstra, Pieter J; Holsboer, Florian; Homuth, Georg; Hottenga, Jouke-Jan; Ikeda, Masashi; Jack, Clifford R; Jenkinson, Mark; Johnson, Robert; Kanai, Ryota; Keil, Maria; Kent, Jack W; Kochunov, Peter; Kwok, John B; Lawrie, Stephen M; Liu, Xinmin; Longo, Dan L; McMahon, Katie L; Meisenzahl, Eva; Melle, Ingrid; Mohnke, Sebastian; Montgomery, Grant W; Mostert, Jeanette C; Mühleisen, Thomas W; Nalls, Michael A; Nichols, Thomas E; Nilsson, Lars G; Nöthen, Markus M; Ohi, Kazutaka; Olvera, Rene L; Perez-Iglesias, Rocio; Pike, G Bruce; Potkin, Steven G; Reinvang, Ivar; Reppermund, Simone; Rietschel, Marcella; Romanczuk-Seiferth, Nina; Rosen, Glenn D; Rujescu, Dan; Schnell, Knut; Schofield, Peter R; Smith, Colin; Steen, Vidar M; Sussmann, Jessika E; Thalamuthu, Anbupalam; Toga, Arthur W; Traynor, Bryan J; Troncoso, Juan; Turner, Jessica A; Valdés Hernández, Maria C; van 't Ent, Dennis; van der Brug, Marcel; van der Wee, Nic J A; van Tol, Marie-Jose; Veltman, Dick J; Wassink, Thomas H; Westman, Eric; Zielke, Ronald H; Zonderman, Alan B; Ashbrook, David G; Hager, Reinmar; Lu, Lu; McMahon, Francis J; Morris, Derek W; Williams, Robert W; Brunner, Han G; Buckner, Randy L; Buitelaar, Jan K; Cahn, Wiepke; Calhoun, Vince D; Cavalleri, Gianpiero L; Crespo-Facorro, Benedicto; Dale, Anders M; Davies, Gareth E; Delanty, Norman; Depondt, Chantal; Djurovic, Srdjan; Drevets, Wayne C; Espeseth, Thomas; Gollub, Randy L; Ho, Beng-Choon; Hoffmann, Wolfgang; Hosten, Norbert; Kahn, René S; Le Hellard, Stephanie; Meyer-Lindenberg, Andreas; Müller-Myhsok, Bertram; Nauck, Matthias; Nyberg, Lars; Pandolfo, Massimo; Penninx, Brenda W J H; Roffman, Joshua L; Sisodiya, Sanjay M; Smoller, Jordan W; van Bokhoven, Hans; van Haren, Neeltje E M; Völzke, Henry; Walter, Henrik; Weiner, Michael W; Wen, Wei; White, Tonya; Agartz, Ingrid; Andreassen, Ole A; Blangero, John; Boomsma, Dorret I; Brouwer, Rachel M; Cannon, Dara M; Cookson, Mark R; de Geus, Eco J C; Deary, Ian J; Donohoe, Gary; Fernández, Guillén; Fisher, Simon E; Francks, Clyde; Glahn, David C; Grabe, Hans J; Gruber, Oliver; Hardy, John; Hashimoto, Ryota; Hulshoff Pol, Hilleke E; Jönsson, Erik G; Kloszewska, Iwona; Lovestone, Simon; Mattay, Venkata S; Mecocci, Patrizia; McDonald, Colm; McIntosh, Andrew M; Ophoff, Roel A; Paus, Tomas; Pausova, Zdenka; Ryten, Mina; Sachdev, Perminder S; Saykin, Andrew J; Simmons, Andy

    2015-04-01

    The highly complex structure of the human brain is strongly shaped by genetic influences. Subcortical brain regions form circuits with cortical areas to coordinate movement, learning, memory and motivation, and altered circuits can lead to abnormal behaviour and disease. To investigate how common genetic variants affect the structure of these brain regions, here we conduct genome-wide association studies of the volumes of seven subcortical regions and the intracranial volume derived from magnetic resonance images of 30,717 individuals from 50 cohorts. We identify five novel genetic variants influencing the volumes of the putamen and caudate nucleus. We also find stronger evidence for three loci with previously established influences on hippocampal volume and intracranial volume. These variants show specific volumetric effects on brain structures rather than global effects across structures. The strongest effects were found for the putamen, where a novel intergenic locus with replicable influence on volume (rs945270; P = 1.08 × 10(-33); 0.52% variance explained) showed evidence of altering the expression of the KTN1 gene in both brain and blood tissue. Variants influencing putamen volume clustered near developmental genes that regulate apoptosis, axon guidance and vesicle transport. Identification of these genetic variants provides insight into the causes of variability in human brain development, and may help to determine mechanisms of neuropsychiatric dysfunction.

  1. Common genetic variants influence human subcortical brain structures

    Science.gov (United States)

    Hibar, Derrek P.; Stein, Jason L.; Renteria, Miguel E.; Arias-Vasquez, Alejandro; Desrivières, Sylvane; Jahanshad, Neda; Toro, Roberto; Wittfeld, Katharina; Abramovic, Lucija; Andersson, Micael; Aribisala, Benjamin S.; Armstrong, Nicola J.; Bernard, Manon; Bohlken, Marc M.; Boks, Marco P.; Bralten, Janita; Brown, Andrew A.; Chakravarty, M. Mallar; Chen, Qiang; Ching, Christopher R. K.; Cuellar-Partida, Gabriel; den Braber, Anouk; Giddaluru, Sudheer; Goldman, Aaron L.; Grimm, Oliver; Guadalupe, Tulio; Hass, Johanna; Woldehawariat, Girma; Holmes, Avram J.; Hoogman, Martine; Janowitz, Deborah; Jia, Tianye; Kim, Sungeun; Klein, Marieke; Kraemer, Bernd; Lee, Phil H.; Olde Loohuis, Loes M.; Luciano, Michelle; Macare, Christine; Mather, Karen A.; Mattheisen, Manuel; Milaneschi, Yuri; Nho, Kwangsik; Papmeyer, Martina; Ramasamy, Adaikalavan; Risacher, Shannon L.; Roiz-Santiañez, Roberto; Rose, Emma J.; Salami, Alireza; Sämann, Philipp G.; Schmaal, Lianne; Schork, Andrew J.; Shin, Jean; Strike, Lachlan T.; Teumer, Alexander; van Donkelaar, Marjolein M. J.; van Eijk, Kristel R.; Walters, Raymond K.; Westlye, Lars T.; Whelan, Christopher D.; Winkler, Anderson M.; Zwiers, Marcel P.; Alhusaini, Saud; Athanasiu, Lavinia; Ehrlich, Stefan; Hakobjan, Marina M. H.; Hartberg, Cecilie B.; Haukvik, Unn K.; Heister, Angelien J. G. A. M.; Hoehn, David; Kasperaviciute, Dalia; Liewald, David C. M.; Lopez, Lorna M.; Makkinje, Remco R. R.; Matarin, Mar; Naber, Marlies A. M.; McKay, D. Reese; Needham, Margaret; Nugent, Allison C.; Pütz, Benno; Royle, Natalie A.; Shen, Li; Sprooten, Emma; Trabzuni, Daniah; van der Marel, Saskia S. L.; van Hulzen, Kimm J. E.; Walton, Esther; Wolf, Christiane; Almasy, Laura; Ames, David; Arepalli, Sampath; Assareh, Amelia A.; Bastin, Mark E.; Brodaty, Henry; Bulayeva, Kazima B.; Carless, Melanie A.; Cichon, Sven; Corvin, Aiden; Curran, Joanne E.; Czisch, Michael; de Zubicaray, Greig I.; Dillman, Allissa; Duggirala, Ravi; Dyer, Thomas D.; Erk, Susanne; Fedko, Iryna O.; Ferrucci, Luigi; Foroud, Tatiana M.; Fox, Peter T.; Fukunaga, Masaki; Gibbs, J. Raphael; Göring, Harald H. H.; Green, Robert C.; Guelfi, Sebastian; Hansell, Narelle K.; Hartman, Catharina A.; Hegenscheid, Katrin; Heinz, Andreas; Hernandez, Dena G.; Heslenfeld, Dirk J.; Hoekstra, Pieter J.; Holsboer, Florian; Homuth, Georg; Hottenga, Jouke-Jan; Ikeda, Masashi; Jack, Clifford R.; Jenkinson, Mark; Johnson, Robert; Kanai, Ryota; Keil, Maria; Kent, Jack W.; Kochunov, Peter; Kwok, John B.; Lawrie, Stephen M.; Liu, Xinmin; Longo, Dan L.; McMahon, Katie L.; Meisenzahl, Eva; Melle, Ingrid; Mohnke, Sebastian; Montgomery, Grant W.; Mostert, Jeanette C.; Mühleisen, Thomas W.; Nalls, Michael A.; Nichols, Thomas E.; Nilsson, Lars G.; Nöthen, Markus M.; Ohi, Kazutaka; Olvera, Rene L.; Perez-Iglesias, Rocio; Pike, G. Bruce; Potkin, Steven G.; Reinvang, Ivar; Reppermund, Simone; Rietschel, Marcella; Romanczuk-Seiferth, Nina; Rosen, Glenn D.; Rujescu, Dan; Schnell, Knut; Schofield, Peter R.; Smith, Colin; Steen, Vidar M.; Sussmann, Jessika E.; Thalamuthu, Anbupalam; Toga, Arthur W.; Traynor, Bryan J.; Troncoso, Juan; Turner, Jessica A.; Valdés Hernández, Maria C.; van ’t Ent, Dennis; van der Brug, Marcel; van der Wee, Nic J. A.; van Tol, Marie-Jose; Veltman, Dick J.; Wassink, Thomas H.; Westman, Eric; Zielke, Ronald H.; Zonderman, Alan B.; Ashbrook, David G.; Hager, Reinmar; Lu, Lu; McMahon, Francis J.; Morris, Derek W.; Williams, Robert W.; Brunner, Han G.; Buckner, Randy L.; Buitelaar, Jan K.; Cahn, Wiepke; Calhoun, Vince D.; Cavalleri, Gianpiero L.; Crespo-Facorro, Benedicto; Dale, Anders M.; Davies, Gareth E.; Delanty, Norman; Depondt, Chantal; Djurovic, Srdjan; Drevets, Wayne C.; Espeseth, Thomas; Gollub, Randy L.; Ho, Beng-Choon; Hoffmann, Wolfgang; Hosten, Norbert; Kahn, René S.; Le Hellard, Stephanie; Meyer-Lindenberg, Andreas; Müller-Myhsok, Bertram; Nauck, Matthias; Nyberg, Lars; Pandolfo, Massimo; Penninx, Brenda W. J. H.; Roffman, Joshua L.; Sisodiya, Sanjay M.; Smoller, Jordan W.; van Bokhoven, Hans; van Haren, Neeltje E. M.; Völzke, Henry; Walter, Henrik; Weiner, Michael W.; Wen, Wei; White, Tonya; Agartz, Ingrid; Andreassen, Ole A.; Blangero, John; Boomsma, Dorret I.; Brouwer, Rachel M.; Cannon, Dara M.; Cookson, Mark R.; de Geus, Eco J. C.; Deary, Ian J.; Donohoe, Gary; Fernández, Guillén; Fisher, Simon E.; Francks, Clyde; Glahn, David C.; Grabe, Hans J.; Gruber, Oliver; Hardy, John; Hashimoto, Ryota; Hulshoff Pol, Hilleke E.; Jönsson, Erik G.; Kloszewska, Iwona; Lovestone, Simon; Mattay, Venkata S.; Mecocci, Patrizia; McDonald, Colm; McIntosh, Andrew M.; Ophoff, Roel A.; Paus, Tomas; Pausova, Zdenka; Ryten, Mina; Sachdev, Perminder S.; Saykin, Andrew J.; Simmons, Andy; Singleton, Andrew; Soininen, Hilkka; Wardlaw, Joanna M.; Weale, Michael E.; Weinberger, Daniel R.; Adams, Hieab H. H.; Launer, Lenore J.; Seiler, Stephan; Schmidt, Reinhold; Chauhan, Ganesh; Satizabal, Claudia L.; Becker, James T.; Yanek, Lisa; van der Lee, Sven J.; Ebling, Maritza; Fischl, Bruce; Longstreth, W. T.; Greve, Douglas; Schmidt, Helena; Nyquist, Paul; Vinke, Louis N.; van Duijn, Cornelia M.; Xue, Luting; Mazoyer, Bernard; Bis, Joshua C.; Gudnason, Vilmundur; Seshadri, Sudha; Ikram, M. Arfan; Martin, Nicholas G.; Wright, Margaret J.; Schumann, Gunter; Franke, Barbara; Thompson, Paul M.; Medland, Sarah E.

    2015-01-01

    The highly complex structure of the human brain is strongly shaped by genetic influences1. Subcortical brain regions form circuits with cortical areas to coordinate movement2, learning, memory3 and motivation4, and altered circuits can lead to abnormal behaviour and disease2. To investigate how common genetic variants affect the structure of these brain regions, here we conduct genome-wide association studies of the volumes of seven subcortical regions and the intracranial volume derived from magnetic resonance images of 30,717 individuals from 50 cohorts. We identify five novel genetic variants influencing the volumes of the putamen and caudate nucleus. We also find stronger evidence for three loci with previously established influences on hippocampal volume5 and intracranial volume6. These variants show specific volumetric effects on brain structures rather than global effects across structures. The strongest effects were found for the putamen, where a novel intergenic locus with replicable influence on volume (rs945270; P = 1.08 × 10−33; 0.52% variance explained) showed evidence of altering the expression of the KTN1 gene in both brain and blood tissue. Variants influencing putamen volume clustered near developmental genes that regulate apoptosis, axon guidance and vesicle transport. Identification of these genetic variants provides insight into the causes of variability inhuman brain development, and may help to determine mechanisms of neuropsychiatric dysfunction. PMID:25607358

  2. The Association between Pediatric NAFLD and Common Genetic Variants

    Directory of Open Access Journals (Sweden)

    Giuseppina Rosaria Umano

    2017-06-01

    Full Text Available Non-alcoholic fatty liver disease (NAFLD is one of the most common complications of obesity. Several studies have shown that genetic predisposition probably plays an important role in its pathogenesis. In fact, in the last few years a large number of genetic studies have provided compelling evidence that some gene variants, especially those in genes encoding proteins regulating lipid metabolism, are associated with intra-hepatic fat accumulation. Here we provide a comprehensive review of the gene variants that have affected the natural history of the disease.

  3. Information capacity of genetic regulatory elements

    Science.gov (United States)

    Tkačik, Gašper; Callan, Curtis G., Jr.; Bialek, William

    2008-07-01

    Changes in a cell’s external or internal conditions are usually reflected in the concentrations of the relevant transcription factors. These proteins in turn modulate the expression levels of the genes under their control and sometimes need to perform nontrivial computations that integrate several inputs and affect multiple genes. At the same time, the activities of the regulated genes would fluctuate even if the inputs were held fixed, as a consequence of the intrinsic noise in the system, and such noise must fundamentally limit the reliability of any genetic computation. Here we use information theory to formalize the notion of information transmission in simple genetic regulatory elements in the presence of physically realistic noise sources. The dependence of this “channel capacity” on noise parameters, cooperativity and cost of making signaling molecules is explored systematically. We find that, in the range of parameters probed by recent in vivo measurements, capacities higher than one bit should be achievable. It is of course generally accepted that gene regulatory elements must, in order to function properly, have a capacity of at least one bit. The central point of our analysis is the demonstration that simple physical models of noisy gene transcription, with realistic parameters, can indeed achieve this capacity: it was not self-evident that this should be so. We also demonstrate that capacities significantly greater than one bit are possible, so that transcriptional regulation need not be limited to simple “on-off” components. The question whether real systems actually exploit this richer possibility is beyond the scope of this investigation.

  4. Genetic variants linked to education predict longevity

    NARCIS (Netherlands)

    R.E. Marioni (Riccardo); Ritchie, S.J. (Stuart J.); P.K. Joshi (Peter); S. Hagenaars (Saskia); A. Okbay (Aysu); K. Fischer (Krista); Adams, M.J. (Mark J.); W.D. Hill (W. David); G. Davies (Gail); Nagy, R. (Reka); Amador, C. (Carmen); K. Läll; A. Metspalu (Andres); D.C. Liewald (David C.); A. Campbell (Archie); J.F. Wilson (James F.); C. Hayward (Caroline); T. Esko (Tõnu); D.J. Porteous (David J.); Gale, C.R. (Catharine R.); I.J. Deary (Ian J.)

    2016-01-01

    textabstractEducational attainment is associated with many health outcomes, including longevity. It is also known to be substantially heritable. Here, we used data from three large genetic epidemiology cohort studies (Generation Scotland, n = ∼17,000; UK Biobank, n = ∼115,000; and the Estonian Bioba

  5. Genetic variants linked to education predict longevity

    NARCIS (Netherlands)

    Marioni, R.E.; Ritchie, S.J.; Joshi, P.K.; Hagenaars, S.P.; Okbay, A.; Fischer, K.; Adams, M.J.; Hill, W.D.; Davies, G.; Nagy, R.; Amador, C.; Lall, K.; Metspalu, A.; Liewald, D.C.; Campbell, A.; Wilson, J.F.; Hayward, C.; Esko, T.; Porteous, D.J.; Gale, C.R.; Deary, I.J.; Galesloot, T.E.; Franke, B.; Kiemeney, L.A.L.M.

    2016-01-01

    Educational attainment is associated with many health outcomes, including longevity. It is also known to be substantially heritable. Here, we used data from three large genetic epidemiology cohort studies (Generation Scotland, n = approximately 17,000; UK Biobank, n = approximately 115,000; and the

  6. Common genetic variants influence human subcortical brain structures

    OpenAIRE

    Hibar, Derrek P.; Stein, Jason L.; Renteria, Miguel E.; Arias-Vasquez, Alejandro,; Desrivieres, Sylvane; Jahanshad, Neda; Toro, Roberto; Wittfeld, Katharina; Abramovic, Lucija; Andersson, Micael; Aribisala, Benjamin S.; Armstrong, Nicola J.; Bernard, Manon; Bohlken, Marc M.; Boks, Marco P

    2015-01-01

    The highly complex structure of the human brain is strongly shaped by genetic influences(1). Subcortical brain regions form circuits with cortical areas to coordinate movement(2), learning, memory(3) and motivation(4), and altered circuits can lead to abnormal behaviour and disease(5). To investigate how common genetic variants affect the structure of these brain regions, here we conduct genome-wide association studies of the volumes of seven subcortical regions and the intracranial volume de...

  7. Genetic variants associated with warfarin dosage in Kuwaiti population.

    Science.gov (United States)

    John, Sumi Elsa; Antony, Dinu; Eaaswarkhanth, Muthukrishnan; Hebbar, Prashantha; Alkayal, Fadi; Tuomilehto, Jaakko; Alsmadi, Osama; Thanaraj, Thangavel Alphonse

    2017-06-01

    Assessing the distinct prevalence or absence of genetic variants associated with differential response to the anticoagulant medication of warfarin in different population groups is actively pursued by pharmacogenomics community. Populations from Arabian Peninsula are underrepresented in such studies. By way of examining exome- and genome-wide genotype data from 1395 Arab individuals in Kuwait, we report distinct occurrence of warfarin response-related variants rs12460590_A/CYP2A7, rs2108622_T/CYP4F2, rs2884737_C/VKORC1 and distinct absence of rs11150606_C/PRSS53 in Kuwaiti population. The presented results in conjunction with similar literature reports on Qatari population enhance the worldwide understanding on population-specific distributions of genetic variants associated with warfarin drug dosage.

  8. Quantifying the contribution of genetic variants for survival phenotypes.

    Science.gov (United States)

    Müller, Martina; Döring, Angela; Küchenhoff, Helmut; Lamina, Claudia; Malzahn, Dörthe; Bickeböller, Heike; Vollmert, Caren; Klopp, Norman; Meisinger, Christa; Heinrich, Joachim; Kronenberg, Florian; Wichmann, H Erich; Heid, Iris M

    2008-09-01

    Particularly in studies based on population representative samples, it is of major interest what impact a genetic variant has on the phenotype of interest, which cannot be answered by mere association estimates alone. One possible measure for quantifying the phenotype's variance explained by the genetic variant is R(2). However, for survival outcomes, no clear definition of R(2) is available in the presence of censored observations. We selected three criteria proposed for this purpose in the literature and compared their performance for single nucleotide polymorphism (SNP) data through simulation studies and for mortality data with candidate SNPs in the general population-based KORA cohort. The evaluated criteria were based on: (1) the difference of deviance residuals, (2) the variation of individual survival curves, and (3) the variation of Schoenfeld residuals. Our simulation studies included various censoring and genetic scenarios. The simulation studies revealed that the deviance residuals' criterion had a high dependence on the censoring percentage, was generally not limited to the range [0; 1] and therefore lacked interpretation as a percentage of explained variation. The second criterion (variation of survival curves) hardly reached values above 60%. Our requirements were best fulfilled by the criterion based on Schoenfeld residuals. Our mortality data analysis also supported the findings in simulation studies. With the criterion based on Schoenfeld residuals, we recommend a powerful and flexible tool for genetic epidemiological studies to refine genetic association studies by judging the contribution of genetic variants to survival phenotype.

  9. Interaction between 5 genetic variants and allergy in glioma risk

    DEFF Research Database (Denmark)

    Schoemaker, Minouk J; Robertson, Lindsay; Wigertz, Annette

    2010-01-01

    The etiology of glioma is barely known. Epidemiologic studies have provided evidence for an inverse relation between glioma risk and allergic disease. Genome-wide association data have identified common genetic variants at 5p15.33 (rs2736100, TERT), 8q24.21 (rs4295627, CCDC26), 9p21.3 (rs4977756...

  10. Host Genetic Variants in the Pathogenesis of Hepatitis C

    Directory of Open Access Journals (Sweden)

    Monika Rau

    2012-11-01

    Full Text Available Direct-acting antiviral drugs (DAAs are currently replacing antiviral therapy for Hepatitis C infection. Treatment related side effects are even worse and the emergence of resistant viruses must be avoided because of the direct-antiviral action. Altogether it remains a challenge to take treatment decisions in a clinical setting with cost restrictions. Genetic host factors are hereby essential to implement an individualized treatment concept. In recent years results on different genetic variants have been published with a strong association with therapy response, fibrosis and treatment-related side effects. Polymorphisms of the IL28B gene were identified as accurate predictors for therapy response and spontaneous clearance of HCV infection and are already used for diagnostic decisions. For RBV-induced side effects, such as hemolytic anemia, associations to genetic variants of inosine triphosphatase (ITPA were described and different SLC28 transporters for RBV-uptake have been successfully analyzed. Fibrosis progression has been associated with variants of Vitamin D receptor (VDR and ABCB11 (bile salt export pump. Cirrhotic patients especially have a high treatment risk and low therapy response, so that personalized antiviral treatment is mandatory. This review focuses on different host genetic variants in the pathogenesis of Hepatitis C at the beginning of a new area of treatment.

  11. Fine-Mapping of Common Genetic Variants Associated with Colorectal Tumor Risk Identified Potential Functional Variants.

    Directory of Open Access Journals (Sweden)

    Mengmeng Du

    Full Text Available Genome-wide association studies (GWAS have identified many common single nucleotide polymorphisms (SNPs associated with colorectal cancer risk. These SNPs may tag correlated variants with biological importance. Fine-mapping around GWAS loci can facilitate detection of functional candidates and additional independent risk variants. We analyzed 11,900 cases and 14,311 controls in the Genetics and Epidemiology of Colorectal Cancer Consortium and the Colon Cancer Family Registry. To fine-map genomic regions containing all known common risk variants, we imputed high-density genetic data from the 1000 Genomes Project. We tested single-variant associations with colorectal tumor risk for all variants spanning genomic regions 250-kb upstream or downstream of 31 GWAS-identified SNPs (index SNPs. We queried the University of California, Santa Cruz Genome Browser to examine evidence for biological function. Index SNPs did not show the strongest association signals with colorectal tumor risk in their respective genomic regions. Bioinformatics analysis of SNPs showing smaller P-values in each region revealed 21 functional candidates in 12 loci (5q31.1, 8q24, 11q13.4, 11q23, 12p13.32, 12q24.21, 14q22.2, 15q13, 18q21, 19q13.1, 20p12.3, and 20q13.33. We did not observe evidence of additional independent association signals in GWAS-identified regions. Our results support the utility of integrating data from comprehensive fine-mapping with expanding publicly available genomic databases to help clarify GWAS associations and identify functional candidates that warrant more onerous laboratory follow-up. Such efforts may aid the eventual discovery of disease-causing variant(s.

  12. Fine-Mapping of Common Genetic Variants Associated with Colorectal Tumor Risk Identified Potential Functional Variants

    Science.gov (United States)

    Gala, Manish; Abecasis, Goncalo; Bezieau, Stephane; Brenner, Hermann; Butterbach, Katja; Caan, Bette J.; Carlson, Christopher S.; Casey, Graham; Chang-Claude, Jenny; Conti, David V.; Curtis, Keith R.; Duggan, David; Gallinger, Steven; Haile, Robert W.; Harrison, Tabitha A.; Hayes, Richard B.; Hoffmeister, Michael; Hopper, John L.; Hudson, Thomas J.; Jenkins, Mark A.; Küry, Sébastien; Le Marchand, Loic; Leal, Suzanne M.; Newcomb, Polly A.; Nickerson, Deborah A.; Potter, John D.; Schoen, Robert E.; Schumacher, Fredrick R.; Seminara, Daniela; Slattery, Martha L.; Hsu, Li; Chan, Andrew T.; White, Emily; Berndt, Sonja I.; Peters, Ulrike

    2016-01-01

    Genome-wide association studies (GWAS) have identified many common single nucleotide polymorphisms (SNPs) associated with colorectal cancer risk. These SNPs may tag correlated variants with biological importance. Fine-mapping around GWAS loci can facilitate detection of functional candidates and additional independent risk variants. We analyzed 11,900 cases and 14,311 controls in the Genetics and Epidemiology of Colorectal Cancer Consortium and the Colon Cancer Family Registry. To fine-map genomic regions containing all known common risk variants, we imputed high-density genetic data from the 1000 Genomes Project. We tested single-variant associations with colorectal tumor risk for all variants spanning genomic regions 250-kb upstream or downstream of 31 GWAS-identified SNPs (index SNPs). We queried the University of California, Santa Cruz Genome Browser to examine evidence for biological function. Index SNPs did not show the strongest association signals with colorectal tumor risk in their respective genomic regions. Bioinformatics analysis of SNPs showing smaller P-values in each region revealed 21 functional candidates in 12 loci (5q31.1, 8q24, 11q13.4, 11q23, 12p13.32, 12q24.21, 14q22.2, 15q13, 18q21, 19q13.1, 20p12.3, and 20q13.33). We did not observe evidence of additional independent association signals in GWAS-identified regions. Our results support the utility of integrating data from comprehensive fine-mapping with expanding publicly available genomic databases to help clarify GWAS associations and identify functional candidates that warrant more onerous laboratory follow-up. Such efforts may aid the eventual discovery of disease-causing variant(s). PMID:27379672

  13. Shared genetic variants suggest common pathways in allergy and autoimmune diseases

    DEFF Research Database (Denmark)

    Kreiner-Møller, Eskil; Waage, Johannes; Standl, Marie

    2016-01-01

    Background: The relationship between allergy and autoimmune disorders is complex and poorly understood. Objective: To investigate commonalities in genetic loci and pathways between allergy and autoimmune diseases to elucidate shared disease mechanisms. Methods: We meta-analyzed two GWAS on self......-reported allergy and sensitization comprising a total of 62,330 individuals. These results were used to calculate enrichment for SNPs previously associated with autoimmune diseases. Furthermore, we probed for enrichment within genetic pathways and of transcription factor binding sites, and characterized...... commonalities in the variant burden on tissue-specific regulatory sites by calculating the enrichment of allergy SNPs falling in gene regulatory regions in various cells using Encode Roadmap DHS data, and compared the allergy data with all known diseases. Conclusion: Among 290 loci previously associated with 16...

  14. Challenges of Identifying Clinically Actionable Genetic Variants for Precision Medicine

    Directory of Open Access Journals (Sweden)

    Tonia C. Carter

    2016-01-01

    Full Text Available Advances in genomic medicine have the potential to change the way we treat human disease, but translating these advances into reality for improving healthcare outcomes depends essentially on our ability to discover disease- and/or drug-associated clinically actionable genetic mutations. Integration and manipulation of diverse genomic data and comprehensive electronic health records (EHRs on a big data infrastructure can provide an efficient and effective way to identify clinically actionable genetic variants for personalized treatments and reduce healthcare costs. We review bioinformatics processing of next-generation sequencing (NGS data, bioinformatics infrastructures for implementing precision medicine, and bioinformatics approaches for identifying clinically actionable genetic variants using high-throughput NGS data and EHRs.

  15. Functional relevance for associations between osteoporosis and genetic variants

    Science.gov (United States)

    Tan, Li-Jun; Wang, Peng; Chen, Xiang-Ding; Zhu, Li-Hua; Zeng, Qin; Hu, Yuan; Deng, Hong-Wen

    2017-01-01

    Osteoporosis is characterized by increased bone loss and deterioration of bone microarchitecture, which will lead to reduced bone strength and increased risk of fragility fractures. Previous studies have identified many genetic loci associated with osteoporosis, but functional mechanisms underlying the associations have rarely been explored. In order to explore the potential molecular functional mechanisms underlying the associations for osteoporosis, we performed integrative analyses by using the publically available datasets and resources. We searched 128 identified osteoporosis associated SNPs (Posteoporosis. This study may provide novel insights into the functional mechanisms underlying the osteoporosis associated genetic variants, which will help us to comprehend the potential mechanisms underlying the genetic association for osteoporosis. PMID:28369098

  16. Mendelian randomization analysis with multiple genetic variants using summarized data.

    Science.gov (United States)

    Burgess, Stephen; Butterworth, Adam; Thompson, Simon G

    2013-11-01

    Genome-wide association studies, which typically report regression coefficients summarizing the associations of many genetic variants with various traits, are potentially a powerful source of data for Mendelian randomization investigations. We demonstrate how such coefficients from multiple variants can be combined in a Mendelian randomization analysis to estimate the causal effect of a risk factor on an outcome. The bias and efficiency of estimates based on summarized data are compared to those based on individual-level data in simulation studies. We investigate the impact of gene-gene interactions, linkage disequilibrium, and 'weak instruments' on these estimates. Both an inverse-variance weighted average of variant-specific associations and a likelihood-based approach for summarized data give similar estimates and precision to the two-stage least squares method for individual-level data, even when there are gene-gene interactions. However, these summarized data methods overstate precision when variants are in linkage disequilibrium. If the P-value in a linear regression of the risk factor for each variant is less than 1×10⁻⁵, then weak instrument bias will be small. We use these methods to estimate the causal association of low-density lipoprotein cholesterol (LDL-C) on coronary artery disease using published data on five genetic variants. A 30% reduction in LDL-C is estimated to reduce coronary artery disease risk by 67% (95% CI: 54% to 76%). We conclude that Mendelian randomization investigations using summarized data from uncorrelated variants are similarly efficient to those using individual-level data, although the necessary assumptions cannot be so fully assessed. © 2013 WILEY PERIODICALS, INC.

  17. THERAPEUTIC IMPLICATIONS OF GENETIC RISK VARIANTS FOR CORONARY ARTERY DISEASE

    Directory of Open Access Journals (Sweden)

    Rajiv Kumar Srivastava

    2017-02-01

    Full Text Available BACKGROUND This review covers therapeutic implication of genetic risk variant responsible for coronary artery disease by utilising the highdensity single-nucleotide microarrays to screen the entire human genome. The sequence of the human genome provides the blueprint for life. Approximately, 99.5% of the human genome Deoxyribonucleic Acid (DNA sequence is identical among humans with 0.5% of the genome sequence (15 million bps accounting for all individual differences. MATERIALS AND METHODS The new technology of the computerised chip array of millions of Single-Nucleotide Polymorphisms (SNPs as Deoxyribonucleic Acid (DNA markers makes it possible to study and detect genetic predisposition to common polygenic disorders such as Coronary Artery Disease (CAD. The sample sizes required for these studies are massive and large; worldwide consortiums such as Coronary Artery Disease Genome-wide Replication and Meta-Analysis (CARDIoGRAM study have been formed to accommodate this requirement. After the identification of 9p21 progress to detect genetic predisposition has been remarkable. RESULTS There are currently a total of 50 genetic risk variants predisposing to CAD of genome-wide significance with confirmation in independent populations. Rare variants (Minor Allele Frequency, MAF <5% will require direct sequencing to detect genetic predisposition. CONCLUSION We can develop new biomarkers for detecting early CAD as well as unique targets for novel therapy. The challenge for the future will be to identify the molecular mechanisms mediating the risk of those genetic risk variants that act through nonconventional risk factors. The ultimate objective for the future is the sequencing and functional analysis of the causative polymorphisms for its therapeutic implications.

  18. Information transmission in genetic regulatory networks: a review

    Science.gov (United States)

    Tkačik, Gašper; Walczak, Aleksandra M.

    2011-04-01

    Genetic regulatory networks enable cells to respond to changes in internal and external conditions by dynamically coordinating their gene expression profiles. Our ability to make quantitative measurements in these biochemical circuits has deepened our understanding of what kinds of computations genetic regulatory networks can perform, and with what reliability. These advances have motivated researchers to look for connections between the architecture and function of genetic regulatory networks. Transmitting information between a network's inputs and outputs has been proposed as one such possible measure of function, relevant in certain biological contexts. Here we summarize recent developments in the application of information theory to gene regulatory networks. We first review basic concepts in information theory necessary for understanding recent work. We then discuss the functional complexity of gene regulation, which arises from the molecular nature of the regulatory interactions. We end by reviewing some experiments that support the view that genetic networks responsible for early development of multicellular organisms might be maximizing transmitted 'positional information'.

  19. Information transmission in genetic regulatory networks: a review.

    Science.gov (United States)

    Tkačik, Gašper; Walczak, Aleksandra M

    2011-04-20

    Genetic regulatory networks enable cells to respond to changes in internal and external conditions by dynamically coordinating their gene expression profiles. Our ability to make quantitative measurements in these biochemical circuits has deepened our understanding of what kinds of computations genetic regulatory networks can perform, and with what reliability. These advances have motivated researchers to look for connections between the architecture and function of genetic regulatory networks. Transmitting information between a network's inputs and outputs has been proposed as one such possible measure of function, relevant in certain biological contexts. Here we summarize recent developments in the application of information theory to gene regulatory networks. We first review basic concepts in information theory necessary for understanding recent work. We then discuss the functional complexity of gene regulation, which arises from the molecular nature of the regulatory interactions. We end by reviewing some experiments that support the view that genetic networks responsible for early development of multicellular organisms might be maximizing transmitted 'positional information'.

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

    Directory of Open Access Journals (Sweden)

    Sayols-Baixeras S

    2014-01-01

    Full Text Available Sergi Sayols-Baixeras, Carla Lluís-Ganella, Gavin Lucas, Roberto ElosuaCardiovascular Epidemiology and Genetics Research Group, Institut Hospital del Mar d'Investigacions Mèdiques, Barcelona, SpainAbstract: Coronary artery disease (CAD is the leading cause of death and disability worldwide, and its prevalence is expected to increase in the coming years. CAD events are caused by the interplay of genetic and environmental factors, the effects of which are mainly mediated through cardiovascular risk factors. The techniques used to study the genetic basis of these diseases have evolved from linkage studies to candidate gene studies and genome-wide association studies. Linkage studies have been able to identify genetic variants associated with monogenic diseases, whereas genome-wide association studies have been more successful in determining genetic variants associated with complex diseases. Currently, genome-wide association studies have identified approximately 40 loci that explain 6% of the heritability of CAD. The application of this knowledge to clinical practice is challenging, but can be achieved using various strategies, such as genetic variants to identify new therapeutic targets, personal genetic information to improve disease risk prediction, and pharmacogenomics. The main aim of this narrative review is to provide a general overview of our current understanding of the genetics of coronary artery disease and its potential clinical utility.Keywords: coronary artery disease, pathogenesis, genetic risk factors, genetic variants

  1. An eQTL mapping approach reveals that rare variants in the SEMA5A regulatory network impact autism risk.

    Science.gov (United States)

    Cheng, Ye; Quinn, Jeffrey Francis; Weiss, Lauren Anne

    2013-07-15

    To date, genome-wide single nucleotide polymorphism (SNP) and copy number variant (CNV) association studies of autism spectrum disorders (ASDs) have led to promising signals but not to easily interpretable or translatable results. Our own genome-wide association study (GWAS) showed significant association to an intergenic SNP near Semaphorin 5A (SEMA5A) and provided evidence for reduced expression of the same gene. In a novel GWAS follow-up approach, we map an expression regulatory pathway for a GWAS candidate gene, SEMA5A, in silico by using population expression and genotype data sets. We find that the SEMA5A regulatory network significantly overlaps rare autism-specific CNVs. The SEMA5A regulatory network includes previous autism candidate genes and regions, including MACROD2, A2BP1, MCPH1, MAST4, CDH8, CADM1, FOXP1, AUTS2, MBD5, 7q21, 20p, USH2A, KIRREL3, DBF4B and RELN, among others. Our results provide: (i) a novel data-derived network implicated in autism, (ii) evidence that the same pathway seeded by an initial SNP association shows association with rare genetic variation in ASDs, (iii) a potential mechanism of action and interpretation for the previous autism candidate genes and genetic variants that fall in this network, and (iv) a novel approach that can be applied to other candidate genes for complex genetic disorders. We take a step towards better understanding of the significance of SEMA5A pathways in autism that can guide interpretation of many other genetic results in ASDs.

  2. Genetic variants in CETP increase risk of intracerebral hemorrhage

    Science.gov (United States)

    Falcone, Guido J.; Phuah, Chia‐Ling; Radmanesh, Farid; Brouwers, H. Bart; Battey, Thomas W. K.; Biffi, Alessandro; Peloso, Gina M.; Liu, Dajiang J.; Ayres, Alison M.; Goldstein, Joshua N.; Viswanathan, Anand; Greenberg, Steven M.; Selim, Magdy; Meschia, James F.; Brown, Devin L.; Worrall, Bradford B.; Silliman, Scott L.; Tirschwell, David L.; Flaherty, Matthew L.; Kraft, Peter; Jagiella, Jeremiasz M.; Schmidt, Helena; Hansen, Björn M.; Jimenez‐Conde, Jordi; Giralt‐Steinhauer, Eva; Elosua, Roberto; Cuadrado‐Godia, Elisa; Soriano, Carolina; van Nieuwenhuizen, Koen M.; Klijn, Catharina J. M.; Rannikmae, Kristiina; Samarasekera, Neshika; Salman, Rustam Al‐Shahi; Sudlow, Catherine L.; Deary, Ian J.; Morotti, Andrea; Pezzini, Alessandro; Pera, Joanna; Urbanik, Andrzej; Pichler, Alexander; Enzinger, Christian; Norrving, Bo; Montaner, Joan; Fernandez‐Cadenas, Israel; Delgado, Pilar; Roquer, Jaume; Lindgren, Arne; Slowik, Agnieszka; Schmidt, Reinhold; Kidwell, Chelsea S.; Kittner, Steven J.; Waddy, Salina P.; Langefeld, Carl D.; Abecasis, Goncalo; Willer, Cristen J.; Kathiresan, Sekar; Woo, Daniel; Rosand, Jonathan

    2016-01-01

    Objective In observational epidemiologic studies, higher plasma high‐density lipoprotein cholesterol (HDL‐C) has been associated with increased risk of intracerebral hemorrhage (ICH). DNA sequence variants that decrease cholesteryl ester transfer protein (CETP) gene activity increase plasma HDL‐C; as such, medicines that inhibit CETP and raise HDL‐C are in clinical development. Here, we test the hypothesis that CETP DNA sequence variants associated with higher HDL‐C also increase risk for ICH. Methods We performed 2 candidate‐gene analyses of CETP. First, we tested individual CETP variants in a discovery cohort of 1,149 ICH cases and 1,238 controls from 3 studies, followed by replication in 1,625 cases and 1,845 controls from 5 studies. Second, we constructed a genetic risk score comprised of 7 independent variants at the CETP locus and tested this score for association with HDL‐C as well as ICH risk. Results Twelve variants within CETP demonstrated nominal association with ICH, with the strongest association at the rs173539 locus (odds ratio [OR] = 1.25, standard error [SE] = 0.06, p = 6.0 × 10−4) with no heterogeneity across studies (I 2 = 0%). This association was replicated in patients of European ancestry (p = 0.03). A genetic score of CETP variants found to increase HDL‐C by ∼2.85mg/dl in the Global Lipids Genetics Consortium was strongly associated with ICH risk (OR = 1.86, SE = 0.13, p = 1.39 × 10−6). Interpretation Genetic variants in CETP associated with increased HDL‐C raise the risk of ICH. Given ongoing therapeutic development in CETP inhibition and other HDL‐raising strategies, further exploration of potential adverse cerebrovascular outcomes may be warranted. Ann Neurol 2016;80:730–740 PMID:27717122

  3. Estimating the contribution of genetic variants to difference in incidence of disease between population groups.

    Science.gov (United States)

    Moonesinghe, Ramal; Ioannidis, John P A; Flanders, W Dana; Yang, Quanhe; Truman, Benedict I; Khoury, Muin J

    2012-08-01

    Genome-wide association studies have identified multiple genetic susceptibility variants to several complex human diseases. However, risk-genotype frequency at loci showing robust associations might differ substantially among different populations. In this paper, we present methods to assess the contribution of genetic variants to the difference in the incidence of disease between different population groups for different scenarios. We derive expressions for the contribution of a single genetic variant, multiple genetic variants, and the contribution of the joint effect of a genetic variant and an environmental factor to the difference in the incidence of disease. The contribution of genetic variants to the difference in incidence increases with increasing difference in risk-genotype frequency, but declines with increasing difference in incidence between the two populations. The contribution of genetic variants also increases with increasing relative risk and the contribution of joint effect of genetic and environmental factors increases with increasing relative risk of the gene-environmental interaction. The contribution of genetic variants to the difference in incidence between two populations can be expressed as a function of the population attributable risks of the genetic variants in the two populations. The contribution of a group of genetic variants to the disparity in incidence of disease could change considerably by adding one more genetic variant to the group. Any estimate of genetic contribution to the disparity in incidence of disease between two populations at this stage seems to be an elusive goal.

  4. Genetic variants of the human dipeptide transporter PEPT1

    DEFF Research Database (Denmark)

    Anderle, Pascale; Nielsen, Carsten Uhd; Pinsonneault, Julia

    2006-01-01

    We tested whether genetic polymorphisms affect activity of the dipeptide transporter PEPT1, which mediates bioavailability of peptidomimetic drugs. All 23 exons and adjoining intronic sections of PEPT1 (SLC15A1) were sequenced in 247 individuals of various ethnic origins (Coriell collection). Of 38...... single nucleotide polymorphisms (SNPs), 21 occurred in intronic and non-coding regions and 17 in exonic coding region, of which nine were nonsynonymous. Eight nonsynonymous variants were cloned into expression vectors and functionally characterized after transient transfection into Cos7 and Chinese...... formation of a splice variant (PEPT1-RF). PEPT1-RF mRNA levels ranged from 2 to 44% of total PEPT1-related mRNA, with potential consequences for drug absorption. Together with previous results, this study reveals a relatively low level of genetic variability in polymorphisms affecting both protein function...

  5. Unclassified sequence variants (UVS and genetic predisposition to cancer

    Directory of Open Access Journals (Sweden)

    Yves-Jean Bignon

    2011-06-01

    Full Text Available Hereditary breast and ovarian cancers are mainly attributable to predisposition genes whose germinal mutations are responsible for the disease. The most common genes associated with breast/ovarian cancer are BRCA1 and BRCA2 but at least 20 other genes of medium of high penetrance have been associated with these types of cancer. Lifetime risk of breast cancer for BRCA mutations carriers approaches 90%. Appropriate medical follow-up is therefore essential for women carrying mutations in these genes. BRCA mutational spectrum has not been entirely characterized but not all sequence variants are pathogenic. These are classified as benign polymorphisms or unclassified variants (UV with unknown pathological potential. To date, 43,5% of over 3500 genetic variants BRCA1 and BRCA2 are reported as having uncertain clinical significance. Whether one sequence variant has or not a pathogenicity implication is often a hard decision to take, involving important consequences for diagnosis and medical follow-up. Here we present several cases of unclassified sequence variants detection and interpretation by in-silico analysis.

  6. Delay-independent stability of genetic regulatory networks.

    Science.gov (United States)

    Wu, Fang-Xiang

    2011-11-01

    Genetic regulatory networks can be described by nonlinear differential equations with time delays. In this paper, we study both locally and globally delay-independent stability of genetic regulatory networks, taking messenger ribonucleic acid alternative splicing into consideration. Based on nonnegative matrix theory, we first develop necessary and sufficient conditions for locally delay-independent stability of genetic regulatory networks with multiple time delays. Compared to the previous results, these conditions are easy to verify. Then we develop sufficient conditions for global delay-independent stability for genetic regulatory networks. Compared to the previous results, this sufficient condition is less conservative. To illustrate theorems developed in this paper, we analyze delay-independent stability of two genetic regulatory networks: a real-life repressilatory network with three genes and three proteins, and a synthetic gene regulatory network with five genes and seven proteins. The simulation results show that the theorems developed in this paper can effectively determine the delay-independent stability of genetic regulatory networks.

  7. Search for Genetic Variants Underlying Musical Aptitude and Related Traits

    OpenAIRE

    Ukkola-Vuoti, Liisa

    2013-01-01

    Music perception and practice represents complex cognitive functions of the brain. There is an abundance of data about the neurophysiological effects of music on the human brain, but heritability and especially molecular studies have been lacking. The development of genome technologies and bioinformatics has enabled the identification of genetic variants underlying complex human traits. These methods can be applied to normal human traits like music perception and performance. Prior to th...

  8. Population sequencing of two endocannabinoid metabolic genes identifies rare and common regulatory variants associated with extreme obesity and metabolite level

    Science.gov (United States)

    2010-01-01

    Background Targeted re-sequencing of candidate genes in individuals at the extremes of a quantitative phenotype distribution is a method of choice to gain information on the contribution of rare variants to disease susceptibility. The endocannabinoid system mediates signaling in the brain and peripheral tissues involved in the regulation of energy balance, is highly active in obese patients, and represents a strong candidate pathway to examine for genetic association with body mass index (BMI). Results We sequenced two intervals (covering 188 kb) encoding the endocannabinoid metabolic enzymes fatty-acid amide hydrolase (FAAH) and monoglyceride lipase (MGLL) in 147 normal controls and 142 extremely obese cases. After applying quality filters, we called 1,393 high quality single nucleotide variants, 55% of which are rare, and 143 indels. Using single marker tests and collapsed marker tests, we identified four intervals associated with BMI: the FAAH promoter, the MGLL promoter, MGLL intron 2, and MGLL intron 3. Two of these intervals are composed of rare variants and the majority of the associated variants are located in promoter sequences or in predicted transcriptional enhancers, suggesting a regulatory role. The set of rare variants in the FAAH promoter associated with BMI is also associated with increased level of FAAH substrate anandamide, further implicating a functional role in obesity. Conclusions Our study, which is one of the first reports of a sequence-based association study using next-generation sequencing of candidate genes, provides insights into study design and analysis approaches and demonstrates the importance of examining regulatory elements rather than exclusively focusing on exon sequences. PMID:21118518

  9. Population sequencing of two endocannabinoid metabolic genes identifies rare and common regulatory variants associated with extreme obesity and metabolite level.

    Science.gov (United States)

    Harismendy, Olivier; Bansal, Vikas; Bhatia, Gaurav; Nakano, Masakazu; Scott, Michael; Wang, Xiaoyun; Dib, Colette; Turlotte, Edouard; Sipe, Jack C; Murray, Sarah S; Deleuze, Jean Francois; Bafna, Vineet; Topol, Eric J; Frazer, Kelly A

    2010-01-01

    Targeted re-sequencing of candidate genes in individuals at the extremes of a quantitative phenotype distribution is a method of choice to gain information on the contribution of rare variants to disease susceptibility. The endocannabinoid system mediates signaling in the brain and peripheral tissues involved in the regulation of energy balance, is highly active in obese patients, and represents a strong candidate pathway to examine for genetic association with body mass index (BMI). We sequenced two intervals (covering 188 kb) encoding the endocannabinoid metabolic enzymes fatty-acid amide hydrolase (FAAH) and monoglyceride lipase (MGLL) in 147 normal controls and 142 extremely obese cases. After applying quality filters, we called 1,393 high quality single nucleotide variants, 55% of which are rare, and 143 indels. Using single marker tests and collapsed marker tests, we identified four intervals associated with BMI: the FAAH promoter, the MGLL promoter, MGLL intron 2, and MGLL intron 3. Two of these intervals are composed of rare variants and the majority of the associated variants are located in promoter sequences or in predicted transcriptional enhancers, suggesting a regulatory role. The set of rare variants in the FAAH promoter associated with BMI is also associated with increased level of FAAH substrate anandamide, further implicating a functional role in obesity. Our study, which is one of the first reports of a sequence-based association study using next-generation sequencing of candidate genes, provides insights into study design and analysis approaches and demonstrates the importance of examining regulatory elements rather than exclusively focusing on exon sequences. © 2010 Harismendy et al.; licensee BioMed Central Ltd.

  10. Information transmission in genetic regulatory networks: a review

    CERN Document Server

    Walczak, Aleksandra M

    2011-01-01

    Genetic regulatory networks enable cells to respond to the changes in internal and external conditions by dynamically coordinating their gene expression profiles. Our ability to make quantitative measurements in these biochemical circuits has deepened our understanding of what kinds of computations genetic regulatory networks can perform and with what reliability. These advances have motivated researchers to look for connections between the architecture and function of genetic regulatory networks. Transmitting information between network's inputs and its outputs has been proposed as one such possible measure of function, relevant in certain biological contexts. Here we summarize recent developments in the application of information theory to gene regulatory networks. We first review basic concepts in information theory necessary to understand recent work. We then discuss the functional complexity of gene regulation which arrises from the molecular nature of the regulatory interactions. We end by reviewing som...

  11. State Observer Design for Delayed Genetic Regulatory Networks

    Directory of Open Access Journals (Sweden)

    Li-Ping Tian

    2014-01-01

    Full Text Available Genetic regulatory networks are dynamic systems which describe the interactions among gene products (mRNAs and proteins. The internal states of a genetic regulatory network consist of the concentrations of mRNA and proteins involved in it, which are very helpful in understanding its dynamic behaviors. However, because of some limitations such as experiment techniques, not all internal states of genetic regulatory network can be effectively measured. Therefore it becomes an important issue to estimate the unmeasured states via the available measurements. In this study, we design a state observer to estimate the states of genetic regulatory networks with time delays from available measurements. Furthermore, based on linear matrix inequality (LMI approach, a criterion is established to guarantee that the dynamic of estimation error is globally asymptotically stable. A gene repressillatory network is employed to illustrate the effectiveness of our design approach.

  12. Transcriptome outlier analysis implicates schizophrenia susceptibility genes and enriches putatively functional rare genetic variants.

    Science.gov (United States)

    Duan, Jubao; Sanders, Alan R; Moy, Winton; Drigalenko, Eugene I; Brown, Eric C; Freda, Jessica; Leites, Catherine; Göring, Harald H H; Gejman, Pablo V

    2015-08-15

    We searched a gene expression dataset comprised of 634 schizophrenia (SZ) cases and 713 controls for expression outliers (i.e., extreme tails of the distribution of transcript expression values) with SZ cases overrepresented compared with controls. These outlier genes were enriched for brain expression and for genes known to be associated with neurodevelopmental disorders. SZ cases showed higher outlier burden (i.e., total outlier events per subject) than controls for genes within copy number variants (CNVs) associated with SZ or neurodevelopmental disorders. Outlier genes were enriched for CNVs and for rare putative regulatory variants, but this only explained a small proportion of the outlier subjects, highlighting the underlying presence of additional genetic and potentially, epigenetic mechanisms.

  13. Analysis of Plasminogen Genetic Variants in Multiple Sclerosis Patients

    Science.gov (United States)

    Sadovnick, A. Dessa; Traboulsee, Anthony L.; Bernales, Cecily Q.; Ross, Jay P.; Forwell, Amanda L.; Yee, Irene M.; Guillot-Noel, Lena; Fontaine, Bertrand; Cournu-Rebeix, Isabelle; Alcina, Antonio; Fedetz, Maria; Izquierdo, Guillermo; Matesanz, Fuencisla; Hilven, Kelly; Dubois, Bénédicte; Goris, An; Astobiza, Ianire; Alloza, Iraide; Antigüedad, Alfredo; Vandenbroeck, Koen; Akkad, Denis A.; Aktas, Orhan; Blaschke, Paul; Buttmann, Mathias; Chan, Andrew; Epplen, Joerg T.; Gerdes, Lisa-Ann; Kroner, Antje; Kubisch, Christian; Kümpfel, Tania; Lohse, Peter; Rieckmann, Peter; Zettl, Uwe K.; Zipp, Frauke; Bertram, Lars; Lill, Christina M; Fernandez, Oscar; Urbaneja, Patricia; Leyva, Laura; Alvarez-Cermeño, Jose Carlos; Arroyo, Rafael; Garagorri, Aroa M.; García-Martínez, Angel; Villar, Luisa M.; Urcelay, Elena; Malhotra, Sunny; Montalban, Xavier; Comabella, Manuel; Berger, Thomas; Fazekas, Franz; Reindl, Markus; Schmied, Mascha C.; Zimprich, Alexander; Vilariño-Güell, Carles

    2016-01-01

    Multiple sclerosis (MS) is a prevalent neurological disease of complex etiology. Here, we describe the characterization of a multi-incident MS family that nominated a rare missense variant (p.G420D) in plasminogen (PLG) as a putative genetic risk factor for MS. Genotyping of PLG p.G420D (rs139071351) in 2160 MS patients, and 886 controls from Canada, identified 10 additional probands, two sporadic patients and one control with the variant. Segregation in families harboring the rs139071351 variant, identified p.G420D in 26 out of 30 family members diagnosed with MS, 14 unaffected parents, and 12 out of 30 family members not diagnosed with disease. Despite considerably reduced penetrance, linkage analysis supports cosegregation of PLG p.G420D and disease. Genotyping of PLG p.G420D in 14446 patients, and 8797 controls from Canada, France, Spain, Germany, Belgium, and Austria failed to identify significant association with disease (P = 0.117), despite an overall higher prevalence in patients (OR = 1.32; 95% CI = 0.93–1.87). To assess whether additional rare variants have an effect on MS risk, we sequenced PLG in 293 probands, and genotyped all rare variants in cases and controls. This analysis identified nine rare missense variants, and although three of them were exclusively observed in MS patients, segregation does not support pathogenicity. PLG is a plausible biological candidate for MS owing to its involvement in immune system response, blood-brain barrier permeability, and myelin degradation. Moreover, components of its activation cascade have been shown to present increased activity or expression in MS patients compared to controls; further studies are needed to clarify whether PLG is involved in MS susceptibility. PMID:27194806

  14. Analysis of Plasminogen Genetic Variants in Multiple Sclerosis Patients

    Directory of Open Access Journals (Sweden)

    A. Dessa Sadovnick

    2016-07-01

    Full Text Available Multiple sclerosis (MS is a prevalent neurological disease of complex etiology. Here, we describe the characterization of a multi-incident MS family that nominated a rare missense variant (p.G420D in plasminogen (PLG as a putative genetic risk factor for MS. Genotyping of PLG p.G420D (rs139071351 in 2160 MS patients, and 886 controls from Canada, identified 10 additional probands, two sporadic patients and one control with the variant. Segregation in families harboring the rs139071351 variant, identified p.G420D in 26 out of 30 family members diagnosed with MS, 14 unaffected parents, and 12 out of 30 family members not diagnosed with disease. Despite considerably reduced penetrance, linkage analysis supports cosegregation of PLG p.G420D and disease. Genotyping of PLG p.G420D in 14446 patients, and 8797 controls from Canada, France, Spain, Germany, Belgium, and Austria failed to identify significant association with disease (P = 0.117, despite an overall higher prevalence in patients (OR = 1.32; 95% CI = 0.93–1.87. To assess whether additional rare variants have an effect on MS risk, we sequenced PLG in 293 probands, and genotyped all rare variants in cases and controls. This analysis identified nine rare missense variants, and although three of them were exclusively observed in MS patients, segregation does not support pathogenicity. PLG is a plausible biological candidate for MS owing to its involvement in immune system response, blood-brain barrier permeability, and myelin degradation. Moreover, components of its activation cascade have been shown to present increased activity or expression in MS patients compared to controls; further studies are needed to clarify whether PLG is involved in MS susceptibility.

  15. Association study of functional genetic variants of innate immunity related genes in celiac disease

    Directory of Open Access Journals (Sweden)

    Martín J

    2005-08-01

    Full Text Available Abstract Background Recent evidence suggest that the innate immune system is implicated in the early events of celiac disease (CD pathogenesis. In this work for the first time we have assessed the relevance of different proinflammatory mediators typically related to innate immunity in CD predisposition. Methods We performed a familial study in which 105 celiac families characterized by the presence of an affected child with CD were genotyped for functional polymorphisms located at regulatory regions of IL-1α, IL-1β, IL-1RN, IL-18, RANTES and MCP-1 genes. Familial data was analysed with a transmission disequilibrium test (TDT that revealed no statistically significant differences in the transmission pattern of the different genetic markers considered. Results The TDT analysis for IL-1α, IL-1β, IL-1RN, IL-18, and MCP-1 genes genetic variants did not reveal biased transmission to the affected offspring. Only a borderline association of RANTES promoter genetic variants with CD predisposition was observed. Conclusion Our results suggest that the analysed polymorphisms of IL-1α, IL-1β, IL-1RN, IL-18, RANTES and MCP-1 genes do not seem to play a major role in CD genetic predisposition in our population.

  16. Genetic mechanisms and age-related macular degeneration: common variants, rare variants, copy number variations, epigenetics, and mitochondrial genetics

    Directory of Open Access Journals (Sweden)

    Liu Melissa M

    2012-08-01

    Full Text Available Abstract Age-related macular degeneration (AMD is a complex and multifaceted disease involving contributions from both genetic and environmental influences. Previous work exploring the genetic contributions of AMD has implicated numerous genomic regions and a variety of candidate genes as modulators of AMD susceptibility. Nevertheless, much of this work has revolved around single-nucleotide polymorphisms (SNPs, and it is apparent that a significant portion of the heritability of AMD cannot be explained through these mechanisms. In this review, we consider the role of common variants, rare variants, copy number variations, epigenetics, microRNAs, and mitochondrial genetics in AMD. Copy number variations in regulators of complement activation genes (CFHR1 and CFHR3 and glutathione S transferase genes (GSTM1 and GSTT1 have been associated with AMD, and several additional loci have been identified as regions of potential interest but require further evaluation. MicroRNA dysregulation has been linked to the retinal pigment epithelium degeneration in geographic atrophy, ocular neovascularization, and oxidative stress, all of which are hallmarks in the pathogenesis of AMD. Certain mitochondrial DNA haplogroups and SNPs in mitochondrially encoded NADH dehydrogenase genes have also been associated with AMD. The role of these additional mechanisms remains only partly understood, but the importance of their further investigation is clear to elucidate more completely the genetic basis of AMD.

  17. Genetic susceptibility variants associated with colorectal cancer prognosis.

    Science.gov (United States)

    Abulí, Anna; Lozano, Juan José; Rodríguez-Soler, María; Jover, Rodrigo; Bessa, Xavier; Muñoz, Jenifer; Esteban-Jurado, Clara; Fernández-Rozadilla, Ceres; Carracedo, Angel; Ruiz-Ponte, Clara; Cubiella, Joaquín; Balaguer, Francesc; Bujanda, Luis; Reñé, Josep M; Clofent, Juan; Morillas, Juan Diego; Nicolás-Pérez, David; Xicola, Rosa M; Llor, Xavier; Piqué, Josep M; Andreu, Montserrat; Castells, Antoni; Castellví-Bel, Sergi

    2013-10-01

    Colorectal cancer (CRC) is the second leading cause of cancer-related death among men and women in Western countries. Once a tumour develops, a differentiated prognosis could be determined by lifestyle habits or inherited and somatic genetic factors. Finding such prognostic factors will be helpful in order to identify cases with a shorter survival or at a higher risk of recurrence that may benefit from more intensive treatment and follow-up surveillance. Sixteen CRC genetic susceptibility variants were directly genotyped in a cohort of 1235 CRC patients recruited by the EPICOLON Spanish consortium. Univariate Cox and multivariate regression analyses were performed taking as primary outcomes overall survival (OS), disease-free survival and recurrence-free interval. Genetic variants rs9929218 at 16q22.1 and rs10795668 at 10p14 may have an effect on OS. The G allele of rs9929218 was linked with a better OS [GG genotype, genotypic model: hazard ratio (HR) = 0.65, 95% confidence interval (CI) 0.45-0.93, P = 0.0179; GG/GA genotypes, dominant model: HR = 0.66, 95% CI 0.47-0.94, P = 0.0202]. Likewise, the G allele of rs10795668 was associated with better clinical outcome (GG genotype, genotypic model: HR = 0.73, 95% CI 0.53-1.01, P = 0.0570; GA genotype, genotypic model: HR = 0.66, 95% CI 0.47-0.92, P = 0.0137; GG/GA genotypes, dominant model: HR = 0.68, 95% CI 0.50-0.94, P = 0.0194). In conclusion, CRC susceptibility variants rs9929218 and rs10795668 may exert some influence in modulating patient's survival and they deserve to be further tested in additional CRC cohorts in order to confirm their potential as prognosis or predictive biomarkers.

  18. Genetic variants associated with neurodegenerative Alzheimer disease in natural models.

    Science.gov (United States)

    Salazar, Claudia; Valdivia, Gonzalo; Ardiles, Álvaro O; Ewer, John; Palacios, Adrián G

    2016-02-26

    The use of transgenic models for the study of neurodegenerative diseases has made valuable contributions to the field. However, some important limitations, including protein overexpression and general systemic compensation for the missing genes, has caused researchers to seek natural models that show the main biomarkers of neurodegenerative diseases during aging. Here we review some of these models-most of them rodents, focusing especially on the genetic variations in biomarkers for Alzheimer diseases, in order to explain their relationships with variants associated with the occurrence of the disease in humans.

  19. Blood type, ABO genetic variants, and ovarian cancer survival.

    Science.gov (United States)

    Cozzi, Gabriella D; Levinson, Rebecca T; Toole, Hilary; Snyder, Malcolm-Robert; Deng, Angie; Crispens, Marta A; Khabele, Dineo; Beeghly-Fadiel, Alicia

    2017-01-01

    Blood type A and the A1 allele have been associated with increased ovarian cancer risk. With only two small studies published to date, evidence for an association between ABO blood type and ovarian cancer survival is limited. We conducted a retrospective cohort study of Tumor Registry confirmed ovarian cancer cases from the Vanderbilt University Medical Center with blood type from linked laboratory reports and ABO variants from linked Illumina Exome BeadChip data. Associations with overall survival (OS) were quantified by hazard ratios (HR) and confidence intervals (CI) from proportional hazards regression models; covariates included age, race, stage, grade, histologic subtype, and year of diagnosis. ABO phenotype (N = 694) and/or genotype (N = 154) data were available for 713 predominantly Caucasian (89.3%) cases. In multivariable models, blood type A had significantly better OS compared to either O (HR: 0.75, 95% CI: 0.60-0.93) or all non-A (HR: 0.77, 95% CI: 0.63-0.94) cases. Similarly, missense rs1053878 minor allele carriers (A2) had better OS (HR: 0.50, 95% CI: 0.25-0.99). Among Caucasians, this phenotype association was strengthened, but the genotype association was attenuated; instead, four variants sharing moderate linkage disequilibrium with the O variant were associated with better OS (HR: 0.62, 95% CI: 0.39-0.99) in unadjusted models. Blood type A was significantly associated with longer ovarian cancer survival in the largest such study to date. This finding was supported by genetic analysis, which implicated the A2 allele, although O related variants also had suggestive associations. Further research on ABO and ovarian cancer survival is warranted.

  20. Canalization and symmetry in Boolean models for genetic regulatory networks

    Energy Technology Data Exchange (ETDEWEB)

    Reichhardt, C J Olson [Theoretical Division and Center for Nonlinear Studies, Los Alamos National Laboratory, Los Alamos, NM 87545 (United States); Bassler, Kevin E [Department of Physics, University of Houston, Houston, TX 77204-5005 (United States)

    2007-04-20

    Canalization of genetic regulatory networks has been argued to be favoured by evolutionary processes due to the stability that it can confer to phenotype expression. We explore whether a significant amount of canalization and partial canalization can arise in purely random networks in the absence of evolutionary pressures. We use a mapping of the Boolean functions in the Kauffman N-K model for genetic regulatory networks onto a k-dimensional Ising hypercube (where k = K) to show that the functions can be divided into different classes strictly due to geometrical constraints. The classes can be counted and their properties determined using results from group theory and isomer chemistry. We demonstrate that partially canalizing functions completely dominate all possible Boolean functions, particularly for higher k. This indicates that partial canalization is extremely common, even in randomly chosen networks, and has implications for how much information can be obtained in experiments on native state genetic regulatory networks.

  1. Association of genetic variants with response to iron supplements in pregnancy.

    Science.gov (United States)

    Athiyarath, Rekha; Shaktivel, Kalaiselvi; Abraham, Vinod; Singh, Daisy; Bondu, Joseph Dian; Chapla, Aaron; George, Biju; Srivastava, Alok; Edison, Eunice Sindhuvi

    2015-07-01

    The incidence of iron deficiency anemia in pregnancy is high in India where iron supplementation is a regular practice. The response to oral iron is influenced by several factors such as age, body mass index, gravida, socioeconomic status, food, vitamin deficiency and compliance to supplements. The major challenge is to understand the various modulators of iron status in this high-risk group so that we can improve the diagnosis and the management of these patients. The current study was designed to evaluate the iron status during pregnancy and to identify factors which might be influencing their response to oral iron. We investigated a total of 181 pregnant women with anemia (Hb < 11 g/dl) and evaluated the impact of probable factors on anemia and their iron status. Assessment of the response was based on hemoglobin and serum ferritin or transferrin saturation level after 8 and 20 weeks of iron supplementation. Socioeconomic, clinical, hematological, biochemical and genetic factors were all evaluated. Molecular analysis revealed that HFE variant allele (G) (rs1799945) was significantly associated with an adequate response to iron supplementation. We identified five subjects with a sustained poor response, and targeted re-sequencing of eleven iron-related genes was performed in them. We have identified seven novel variants in them, and in silico analysis suggested that these variants may have an iron regulatory effect. Taken together, our findings underscore the association of genetic variants with response to supplements in pregnancy, and they can be extended to other diseases where anemia and iron deficiency coexist.

  2. The SSV Evaluation System: A Tool to Prioritize Short Structural Variants for Studies of Possible Regulatory and Causal Variants.

    Science.gov (United States)

    Saul, Robert; Lutz, Michael W; Burns, Daniel K; Roses, Allen D; Chiba-Falek, Ornit

    2016-09-01

    Short structural variants (SSVs) are short genomic variants (prototype bioinformatics tool, "SSV evaluation system," which is a searchable, annotated database of SSVs in the human genome, with associated customizable scoring software that is used to evaluate and prioritize SSVs that are most likely to have significant biological effects and impact on disease risk. This new bioinformatics tool is a component in a larger strategy that we have been using to discover potentially important SSVs within candidate genomic regions that have been identified in genome-wide association studies, with the goal to prioritize potential functional/causal SSVs and focus the follow-up experiments on a relatively small list of strong candidate SSVs. We describe our strategy and discuss how we have used the SSV evaluation system to discover candidate causal variants related to complex neurodegenerative diseases. We present the SSV evaluation system as a powerful tool to guide genetic investigations aiming to uncover SSVs that underlie human complex diseases including neurodegenerative diseases in aging.

  3. Gastrointestinal stromal tumors, somatic mutations and candidate genetic risk variants.

    Science.gov (United States)

    O'Brien, Katie M; Orlow, Irene; Antonescu, Cristina R; Ballman, Karla; McCall, Linda; DeMatteo, Ronald; Engel, Lawrence S

    2013-01-01

    Gastrointestinal stromal tumors (GISTs) are rare but treatable soft tissue sarcomas. Nearly all GISTs have somatic mutations in either the KIT or PDGFRA gene, but there are no known inherited genetic risk factors. We assessed the relationship between KIT/PDGFRA mutations and select deletions or single nucleotide polymorphisms (SNPs) in 279 participants from a clinical trial of adjuvant imatinib mesylate. Given previous evidence that certain susceptibility loci and carcinogens are associated with characteristic mutations, or "signatures" in other cancers, we hypothesized that the characteristic somatic mutations in the KIT and PDGFRA genes in GIST tumors may similarly be mutational signatures that are causally linked to specific mutagens or susceptibility loci. As previous epidemiologic studies suggest environmental risk factors such as dioxin and radiation exposure may be linked to sarcomas, we chose 208 variants in 39 candidate genes related to DNA repair and dioxin metabolism or response. We calculated adjusted odds ratios (ORs) and 95% confidence intervals (CIs) for the association between each variant and 7 categories of tumor mutation using logistic regression. We also evaluated gene-level effects using the sequence kernel association test (SKAT). Although none of the association p-values were statistically significant after adjustment for multiple comparisons, SNPs in CYP1B1 were strongly associated with KIT exon 11 codon 557-8 deletions (OR = 1.9, 95% CI: 1.3-2.9 for rs2855658 and OR = 1.8, 95% CI: 1.2-2.7 for rs1056836) and wild type GISTs (OR = 2.7, 95% CI: 1.5-4.8 for rs1800440 and OR = 0.5, 95% CI: 0.3-0.9 for rs1056836). CYP1B1 was also associated with these mutations categories in the SKAT analysis (p = 0.002 and p = 0.003, respectively). Other potential risk variants included GSTM1, RAD23B and ERCC2. This preliminary analysis of inherited genetic risk factors for GIST offers some clues about the disease's genetic origins and

  4. Gastrointestinal stromal tumors, somatic mutations and candidate genetic risk variants.

    Directory of Open Access Journals (Sweden)

    Katie M O'Brien

    Full Text Available Gastrointestinal stromal tumors (GISTs are rare but treatable soft tissue sarcomas. Nearly all GISTs have somatic mutations in either the KIT or PDGFRA gene, but there are no known inherited genetic risk factors. We assessed the relationship between KIT/PDGFRA mutations and select deletions or single nucleotide polymorphisms (SNPs in 279 participants from a clinical trial of adjuvant imatinib mesylate. Given previous evidence that certain susceptibility loci and carcinogens are associated with characteristic mutations, or "signatures" in other cancers, we hypothesized that the characteristic somatic mutations in the KIT and PDGFRA genes in GIST tumors may similarly be mutational signatures that are causally linked to specific mutagens or susceptibility loci. As previous epidemiologic studies suggest environmental risk factors such as dioxin and radiation exposure may be linked to sarcomas, we chose 208 variants in 39 candidate genes related to DNA repair and dioxin metabolism or response. We calculated adjusted odds ratios (ORs and 95% confidence intervals (CIs for the association between each variant and 7 categories of tumor mutation using logistic regression. We also evaluated gene-level effects using the sequence kernel association test (SKAT. Although none of the association p-values were statistically significant after adjustment for multiple comparisons, SNPs in CYP1B1 were strongly associated with KIT exon 11 codon 557-8 deletions (OR = 1.9, 95% CI: 1.3-2.9 for rs2855658 and OR = 1.8, 95% CI: 1.2-2.7 for rs1056836 and wild type GISTs (OR = 2.7, 95% CI: 1.5-4.8 for rs1800440 and OR = 0.5, 95% CI: 0.3-0.9 for rs1056836. CYP1B1 was also associated with these mutations categories in the SKAT analysis (p = 0.002 and p = 0.003, respectively. Other potential risk variants included GSTM1, RAD23B and ERCC2. This preliminary analysis of inherited genetic risk factors for GIST offers some clues about the disease's genetic

  5. Propagation of genetic variation in gene regulatory networks.

    Science.gov (United States)

    Plahte, Erik; Gjuvsland, Arne B; Omholt, Stig W

    2013-08-01

    A future quantitative genetics theory should link genetic variation to phenotypic variation in a causally cohesive way based on how genes actually work and interact. We provide a theoretical framework for predicting and understanding the manifestation of genetic variation in haploid and diploid regulatory networks with arbitrary feedback structures and intra-locus and inter-locus functional dependencies. Using results from network and graph theory, we define propagation functions describing how genetic variation in a locus is propagated through the network, and show how their derivatives are related to the network's feedback structure. Similarly, feedback functions describe the effect of genotypic variation of a locus on itself, either directly or mediated by the network. A simple sign rule relates the sign of the derivative of the feedback function of any locus to the feedback loops involving that particular locus. We show that the sign of the phenotypically manifested interaction between alleles at a diploid locus is equal to the sign of the dominant feedback loop involving that particular locus, in accordance with recent results for a single locus system. Our results provide tools by which one can use observable equilibrium concentrations of gene products to disclose structural properties of the network architecture. Our work is a step towards a theory capable of explaining the pleiotropy and epistasis features of genetic variation in complex regulatory networks as functions of regulatory anatomy and functional location of the genetic variation.

  6. Ancient mtDNA genetic variants modulate mtDNA transcription and replication.

    Directory of Open Access Journals (Sweden)

    Sarit Suissa

    2009-05-01

    Full Text Available Although the functional consequences of mitochondrial DNA (mtDNA genetic backgrounds (haplotypes, haplogroups have been demonstrated by both disease association studies and cell culture experiments, it is not clear which of the mutations within the haplogroup carry functional implications and which are "evolutionary silent hitchhikers". We set forth to study the functionality of haplogroup-defining mutations within the mtDNA transcription/replication regulatory region by in vitro transcription, hypothesizing that haplogroup-defining mutations occurring within regulatory motifs of mtDNA could affect these processes. We thus screened >2500 complete human mtDNAs representing all major populations worldwide for natural variation in experimentally established protein binding sites and regulatory regions comprising a total of 241 bp in each mtDNA. Our screen revealed 77/241 sites showing point mutations that could be divided into non-fixed (57/77, 74% and haplogroup/sub-haplogroup-defining changes (i.e., population fixed changes, 20/77, 26%. The variant defining Caucasian haplogroup J (C295T increased the binding of TFAM (Electro Mobility Shift Assay and the capacity of in vitro L-strand transcription, especially of a shorter transcript that maps immediately upstream of conserved sequence block 1 (CSB1, a region associated with RNA priming of mtDNA replication. Consistent with this finding, cybrids (i.e., cells sharing the same nuclear genetic background but differing in their mtDNA backgrounds harboring haplogroup J mtDNA had a >2 fold increase in mtDNA copy number, as compared to cybrids containing haplogroup H, with no apparent differences in steady state levels of mtDNA-encoded transcripts. Hence, a haplogroup J regulatory region mutation affects mtDNA replication or stability, which may partially account for the phenotypic impact of this haplogroup. Our analysis thus demonstrates, for the first time, the functional impact of particular mt

  7. Schizophrenia genetic variants are not associated with intelligence

    DEFF Research Database (Denmark)

    Van Scheltinga, A.F.T.; Bakker, S.C.; Van Haren, N.E.M.

    2013-01-01

    BACKGROUND: Schizophrenia is associated with lower pre-morbid intelligence (IQ) in addition to (pre-morbid) cognitive decline. Both schizophrenia and IQ are highly heritable traits. Therefore, we hypothesized that genetic variants associated with schizophrenia, including copy number variants (CNVs......) and a polygenic schizophrenia (risk) score (PSS), may influence intelligence. Method IQ was estimated with the Wechsler Adult Intelligence Scale (WAIS). CNVs were determined from single nucleotide polymorphism (SNP) data using the QuantiSNP and PennCNV algorithms. For the PSS, odds ratios for genome-wide SNP data...... significantly more genes were disrupted by deletions in schizophrenia patients compared to controls (p = 0.009), there was no effect of CNV measures on IQ. The PSS was associated with disease status (R 2 = 0.055, p = 2.1 × 10-7) and with IQ in the entire sample (R 2 = 0.018, p = 0.0008) but the effect on IQ...

  8. Mining the LIPG allelic spectrum reveals the contribution of rare and common regulatory variants to HDL cholesterol.

    Directory of Open Access Journals (Sweden)

    Sumeet A Khetarpal

    2011-12-01

    Full Text Available Genome-wide association studies (GWAS have successfully identified loci associated with quantitative traits, such as blood lipids. Deep resequencing studies are being utilized to catalogue the allelic spectrum at GWAS loci. The goal of these studies is to identify causative variants and missing heritability, including heritability due to low frequency and rare alleles with large phenotypic impact. Whereas rare variant efforts have primarily focused on nonsynonymous coding variants, we hypothesized that noncoding variants in these loci are also functionally important. Using the HDL-C gene LIPG as an example, we explored the effect of regulatory variants identified through resequencing of subjects at HDL-C extremes on gene expression, protein levels, and phenotype. Resequencing a portion of the LIPG promoter and 5' UTR in human subjects with extreme HDL-C, we identified several rare variants in individuals from both extremes. Luciferase reporter assays were used to measure the effect of these rare variants on LIPG expression. Variants conferring opposing effects on gene expression were enriched in opposite extremes of the phenotypic distribution. Minor alleles of a common regulatory haplotype and noncoding GWAS SNPs were associated with reduced plasma levels of the LIPG gene product endothelial lipase (EL, consistent with its role in HDL-C catabolism. Additionally, we found that a common nonfunctional coding variant associated with HDL-C (rs2000813 is in linkage disequilibrium with a 5' UTR variant (rs34474737 that decreases LIPG promoter activity. We attribute the gene regulatory role of rs34474737 to the observed association of the coding variant with plasma EL levels and HDL-C. Taken together, the findings show that both rare and common noncoding regulatory variants are important contributors to the allelic spectrum in complex trait loci.

  9. Genetic Variants Associated with Gestational Hypertriglyceridemia and Pancreatitis.

    Science.gov (United States)

    Xie, Sai-Li; Chen, Tan-Zhou; Huang, Xie-Lin; Chen, Chao; Jin, Rong; Huang, Zhi-Ming; Zhou, Meng-Tao

    2015-01-01

    Severe hypertriglyceridemia is a well-known cause of pancreatitis. Usually, there is a moderate increase in plasma triglyceride level during pregnancy. Additionally, certain pre-existing genetic traits may render a pregnant woman susceptible to development of severe hypertriglyceridemia and pancreatitis, especially in the third trimester. To elucidate the underlying mechanism of gestational hypertriglyceridemic pancreatitis, we undertook DNA mutation analysis of the lipoprotein lipase (LPL), apolipoprotein C2 (APOC2), apolipoprotein A5 (APOA5), lipase maturation factor 1 (LMF1), and glycosylphosphatidylinositol-anchored high-density lipoprotein-binding protein 1 (GPIHBP1) genes in five unrelated pregnant Chinese women with severe hypertriglyceridemia and pancreatitis. DNA sequencing showed that three out of five patients had the same homozygous variation, p.G185C, in APOA5 gene. One patient had a compound heterozygous mutation, p.A98T and p.L279V, in LPL gene. Another patient had a compound heterozygous mutation, p.A98T & p.C14F in LPL and GPIHBP1 gene, respectively. No mutations were seen in APOC2 or LMF1 genes. All patients were diagnosed with partial LPL deficiency in non-pregnant state. As revealed in our study, genetic variants appear to play an important role in the development of severe gestational hypertriglyceridemia, and, p.G185C mutation in APOA5 gene appears to be the most common variant implicated in the Chinese population. Antenatal screening for mutations in susceptible women, combined with subsequent interventions may be invaluable in the prevention of potentially life threatening gestational hypertriglyceridemia-induced pancreatitis.

  10. Genetic Variants Associated with Gestational Hypertriglyceridemia and Pancreatitis.

    Directory of Open Access Journals (Sweden)

    Sai-Li Xie

    Full Text Available Severe hypertriglyceridemia is a well-known cause of pancreatitis. Usually, there is a moderate increase in plasma triglyceride level during pregnancy. Additionally, certain pre-existing genetic traits may render a pregnant woman susceptible to development of severe hypertriglyceridemia and pancreatitis, especially in the third trimester. To elucidate the underlying mechanism of gestational hypertriglyceridemic pancreatitis, we undertook DNA mutation analysis of the lipoprotein lipase (LPL, apolipoprotein C2 (APOC2, apolipoprotein A5 (APOA5, lipase maturation factor 1 (LMF1, and glycosylphosphatidylinositol-anchored high-density lipoprotein-binding protein 1 (GPIHBP1 genes in five unrelated pregnant Chinese women with severe hypertriglyceridemia and pancreatitis. DNA sequencing showed that three out of five patients had the same homozygous variation, p.G185C, in APOA5 gene. One patient had a compound heterozygous mutation, p.A98T and p.L279V, in LPL gene. Another patient had a compound heterozygous mutation, p.A98T & p.C14F in LPL and GPIHBP1 gene, respectively. No mutations were seen in APOC2 or LMF1 genes. All patients were diagnosed with partial LPL deficiency in non-pregnant state. As revealed in our study, genetic variants appear to play an important role in the development of severe gestational hypertriglyceridemia, and, p.G185C mutation in APOA5 gene appears to be the most common variant implicated in the Chinese population. Antenatal screening for mutations in susceptible women, combined with subsequent interventions may be invaluable in the prevention of potentially life threatening gestational hypertriglyceridemia-induced pancreatitis.

  11. Susceptibility genetic variants associated with early-onset colorectal cancer.

    Science.gov (United States)

    Giráldez, María Dolores; López-Dóriga, Adriana; Bujanda, Luis; Abulí, Anna; Bessa, Xavier; Fernández-Rozadilla, Ceres; Muñoz, Jenifer; Cuatrecasas, Miriam; Jover, Rodrigo; Xicola, Rosa M; Llor, Xavier; Piqué, Josep M; Carracedo, Angel; Ruiz-Ponte, Clara; Cosme, Angel; Enríquez-Navascués, José María; Moreno, Victor; Andreu, Montserrat; Castells, Antoni; Balaguer, Francesc; Castellví-Bel, Sergi

    2012-03-01

    Colorectal cancer (CRC) is the second most common cancer in Western countries. Hereditary forms only correspond to 5% of CRC burden. Recently, genome-wide association studies have identified common low-penetrant CRC genetic susceptibility loci. Early-onset CRC (CRC65 years old) (n = 1264). CRC susceptibility variants at 8q23.3 (rs16892766), 8q24.21 (rs6983267), 10p14 (rs10795668), 11q23.1 (rs3802842), 15q13.3 (rs4779584), 18q21 (rs4939827), 14q22.2 (rs4444235), 16q22.1 (rs9929218), 19q13.1 (rs10411210) and 20p12.3 (rs961253) were genotyped in all DNA samples. A genotype-phenotype correlation with clinical and pathological characteristics in both groups was performed. Risk allele carriers for rs3802842 [Odds ratio (OR) = 1.5, 95% confidence interval (CI) 1.1-2.05, P = 0.0096, dominant model) and rs4779584 (OR = 1.39, 95% CI 1.02-1.9, P = 0.0396, dominant model) were more frequent in the CRC<50 group, whereas homozygotes for rs10795668 risk allele were also more frequent in the early-onset CRC (P = 0.02, codominant model). Regarding early-onset cases, 14q22 (rs4444235), 11q23 (rs3802842) and 20p12 (rs961253) variants were more associated with family history of CRC or tumors of the Lynch syndrome spectrum excluding CRC. In our entire cohort, sum of risk alleles was significantly higher in patients with a CRC family history (OR = 1.40, 95% CI 1.06-1.85, P = 0.01). In conclusion, variants at 10p14 (rs10795668), 11q23.1 (rs3802842) and 15q13.3 (rs4779584) may have a predominant role in predisposition to early-onset CRC. Association of CRC susceptibility variants with some patient's familiar and personal features could be relevant for screening and surveillance strategies in this high-risk group and it should be explored in further studies.

  12. Genetic variants in telomere-maintenance genes and bladder cancer risk

    Institute of Scientific and Technical Information of China (English)

    Chengyuan Gu; Yao Zhu; Dingwei Ye

    2013-01-01

    Telomere maintenance genes play an important role in maintaining the integrity of the telomere structure that protects chromosome ends, and telomere dysfunction may lead to tumorigenesis. Genetic variation in telomere maintenance genes has been confirmed. Cumulative evidence shows that the dif erence of telomere length and stability among the indi-vidual depends on the genetic variants of telomere maintenance genes. Genetic variants in telomere maintenance genes may af ect telomere length and stability, thus the increased cancer risk. This review intends to summarize the association of genetic variants in telomere maintenance genes with bladder cancer risk.

  13. Genetic variation in human disease and a new role for copy number variants.

    Science.gov (United States)

    Shelling, Andrew N; Ferguson, Lynnette R

    2007-09-01

    While complex diseases, such as inflammatory bowel disease, do not follow distinctive Mendelian inheritance patterns, there is now considerable evidence from twin and pedigree studies to show that there are significant genetic influences in the development of many such diseases. In times past, this type of information was considered to be interesting, and was used mainly to alert other members of the families that they may also be at increased risk of developing the disease. However, with the ability to evaluate the genetic basis of common disease, this information will have important consequences for the diagnosis, prevention and treatment of the disorder. The genetic basis for common disease is likely to be more complicated than we had previously anticipated, since we now recognise epigenetic causes of disease, and other subtle gene regulatory mechanisms. Copy number variants have been highlighted in this review, as being a phenomenon that we have known about for a long time, but that has not previously been clearly associated with human disease. As complex disease is related to changes in gene expression, any variation in the human genome that alters gene expression is now a candidate for being involved in the disease process.

  14. Genetic variant rs17225178 in the ARNT2 gene is associated with Asperger Syndrome.

    Science.gov (United States)

    Di Napoli, Agnese; Warrier, Varun; Baron-Cohen, Simon; Chakrabarti, Bhismadev

    2015-01-01

    Autism Spectrum Conditions (ASC) are neurodevelopmental conditions characterized by difficulties in communication and social interaction, alongside unusually repetitive behaviours and narrow interests. Asperger Syndrome (AS) is one subgroup of ASC and differs from classic autism in that in AS there is no language or general cognitive delay. Genetic, epigenetic and environmental factors are implicated in ASC and genes involved in neural connectivity and neurodevelopment are good candidates for studying the susceptibility to ASC. The aryl-hydrocarbon receptor nuclear translocator 2 (ARNT2) gene encodes a transcription factor involved in neurodevelopmental processes, neuronal connectivity and cellular responses to hypoxia. A mutation in this gene has been identified in individuals with ASC and single nucleotide polymorphisms (SNPs) have been nominally associated with AS and autistic traits in previous studies. In this study, we tested 34 SNPs in ARNT2 for association with AS in 118 cases and 412 controls of Caucasian origin. P values were adjusted for multiple comparisons, and linkage disequilibrium (LD) among the SNPs analysed was calculated in our sample. Finally, SNP annotation allowed functional and structural analyses of the genetic variants in ARNT2. We tested the replicability of our result using the genome-wide association studies (GWAS) database of the Psychiatric Genomics Consortium (PGC). We report statistically significant association of rs17225178 with AS. This SNP modifies transcription factor binding sites and regions that regulate the chromatin state in neural cell lines. It is also included in a LD block in our sample, alongside other genetic variants that alter chromatin regulatory regions in neural cells. These findings demonstrate that rs17225178 in the ARNT2 gene is associated with AS and support previous studies that pointed out an involvement of this gene in the predisposition to ASC.

  15. Computational Genetic Regulatory Networks Evolvable, Self-organizing Systems

    CERN Document Server

    Knabe, Johannes F

    2013-01-01

    Genetic Regulatory Networks (GRNs) in biological organisms are primary engines for cells to enact their engagements with environments, via incessant, continually active coupling. In differentiated multicellular organisms, tremendous complexity has arisen in the course of evolution of life on earth. Engineering and science have so far achieved no working system that can compare with this complexity, depth and scope of organization. Abstracting the dynamics of genetic regulatory control to a computational framework in which artificial GRNs in artificial simulated cells differentiate while connected in a changing topology, it is possible to apply Darwinian evolution in silico to study the capacity of such developmental/differentiated GRNs to evolve. In this volume an evolutionary GRN paradigm is investigated for its evolvability and robustness in models of biological clocks, in simple differentiated multicellularity, and in evolving artificial developing 'organisms' which grow and express an ontogeny starting fr...

  16. From Single Variants to Protein Cascades: MULTISCALE MODELING OF SINGLE NUCLEOTIDE VARIANT SETS IN GENETIC DISORDERS.

    Science.gov (United States)

    Mueller, Sabine C; Sommer, Björn; Backes, Christina; Haas, Jan; Meder, Benjamin; Meese, Eckart; Keller, Andreas

    2016-01-22

    Understanding the role of genetics in disease has become a central part of medical research. Non-synonymous single nucleotide variants (nsSNVs) in coding regions of human genes frequently lead to pathological phenotypes. Beyond single variations, the individual combination of nsSNVs may add to pathogenic processes. We developed a multiscale pipeline to systematically analyze the existence of quantitative effects of multiple nsSNVs and gene combinations in single individuals on pathogenicity. Based on this pipeline, we detected in a data set of 842 nsSNVs discovered in 76 genes related to cardiomyopathies, associated nsSNV combinations in seven genes present in at least 70% of all 639 patient samples, but not in a control cohort of healthy humans. Structural analyses of these revealed primarily an influence on the protein stability. For amino acid substitutions located at the protein surface, we generally observed a proximity to putative binding pockets. To computationally analyze cumulative effects and their impact, pathogenicity methods are currently being developed. Our approach supports this process, as shown on the example of a cardiac phenotype but can be likewise applied to other diseases such as cancer.

  17. Stochastic Oscillations in Genetic Regulatory Networks: Application to Microarray Experiments

    Directory of Open Access Journals (Sweden)

    Rosenfeld Simon

    2006-01-01

    Full Text Available We analyze the stochastic dynamics of genetic regulatory networks using a system of nonlinear differential equations. The system of -functions is applied to capture the role of RNA polymerase in the transcription-translation mechanism. Using probabilistic properties of chemical rate equations, we derive a system of stochastic differential equations which are analytically tractable despite the high dimension of the regulatory network. Using stationary solutions of these equations, we explain the apparently paradoxical results of some recent time-course microarray experiments where mRNA transcription levels are found to only weakly correlate with the corresponding transcription rates. Combining analytical and simulation approaches, we determine the set of relationships between the size of the regulatory network, its structural complexity, chemical variability, and spectrum of oscillations. In particular, we show that temporal variability of chemical constituents may decrease while complexity of the network is increasing. This finding provides an insight into the nature of "functional determinism" of such an inherently stochastic system as genetic regulatory network.

  18. Partitioning Heritability of Regulatory and Cell-Type-Specific Variants across 11 Common Diseases

    Science.gov (United States)

    Gusev, Alexander; Lee, S. Hong; Trynka, Gosia; Finucane, Hilary; Vilhjálmsson, Bjarni J.; Xu, Han; Zang, Chongzhi; Ripke, Stephan; Bulik-Sullivan, Brendan; Stahl, Eli; Ripke, Stephan; Neale, Benjamin M.; Corvin, Aiden; Walters, James T.R.; Farh, Kai-How; Holmans, Peter A.; Lee, Phil; Bulik-Sullivan, Brendan; Collier, David A.; Huang, Hailiang; Pers, Tune H.; Agartz, Ingrid; Agerbo, Esben; Albus, Margot; Alexander, Madeline; Amin, Farooq; Bacanu, Silviu A.; Begemann, Martin; Belliveau, Richard A.; Bene, Judit; Bergen, Sarah E.; Bevilacqua, Elizabeth; Bigdeli, Tim B.; Black, Donald W.; Børglum, Anders D.; Bruggeman, Richard; Buccola, Nancy G.; Buckner, Randy L.; Byerley, William; Cahn, Wiepke; Cai, Guiqing; Campion, Dominique; Cantor, Rita M.; Carr, Vaughan J.; Carrera, Noa; Catts, Stanley V.; Chambert, Kimberly D.; Chan, Raymond C.K.; Chen, Ronald Y.L.; Chen, Eric Y.H.; Cheng, Wei; Cheung, Eric F.C.; Chong, Siow Ann; Cloninger, C. Robert; Cohen, David; Cohen, Nadine; Cormican, Paul; Craddock, Nick; Crowley, James J.; Curtis, David; Davidson, Michael; Davis, Kenneth L.; Degenhardt, Franziska; Del Favero, Jurgen; DeLisi, Lynn E.; Demontis, Ditte; Dikeos, Dimitris; Dinan, Timothy; Djurovic, Srdjan; Donohoe, Gary; Drapeau, Elodie; Duan, Jubao; Dudbridge, Frank; Durmishi, Naser; Eichhammer, Peter; Eriksson, Johan; Escott-Price, Valentina; Essioux, Laurent; Fanous, Ayman H.; Farrell, Martilias S.; Frank, Josef; Franke, Lude; Freedman, Robert; Freimer, Nelson B.; Friedl, Marion; Friedman, Joseph I.; Fromer, Menachem; Genovese, Giulio; Georgieva, Lyudmila; Gershon, Elliot S.; Giegling, Ina; Giusti-Rodrguez, Paola; Godard, Stephanie; Goldstein, Jacqueline I.; Golimbet, Vera; Gopal, Srihari; Gratten, Jacob; Grove, Jakob; de Haan, Lieuwe; Hammer, Christian; Hamshere, Marian L.; Hansen, Mark; Hansen, Thomas; Haroutunian, Vahram; Hartmann, Annette M.; Henskens, Frans A.; Herms, Stefan; Hirschhorn, Joel N.; Hoffmann, Per; Hofman, Andrea; Hollegaard, Mads V.; Hougaard, David M.; Ikeda, Masashi; Joa, Inge; Julià, Antonio; Kahn, René S.; Kalaydjieva, Luba; Karachanak-Yankova, Sena; Karjalainen, Juha; Kavanagh, David; Keller, Matthew C.; Kelly, Brian J.; Kennedy, James L.; Khrunin, Andrey; Kim, Yunjung; Klovins, Janis; Knowles, James A.; Konte, Bettina; Kucinskas, Vaidutis; Kucinskiene, Zita Ausrele; Kuzelova-Ptackova, Hana; Kähler, Anna K.; Laurent, Claudine; Keong, Jimmy Lee Chee; Lee, S. Hong; Legge, Sophie E.; Lerer, Bernard; Li, Miaoxin; Li, Tao; Liang, Kung-Yee; Lieberman, Jeffrey; Limborska, Svetlana; Loughland, Carmel M.; Lubinski, Jan; Lnnqvist, Jouko; Macek, Milan; Magnusson, Patrik K.E.; Maher, Brion S.; Maier, Wolfgang; Mallet, Jacques; Marsal, Sara; Mattheisen, Manuel; Mattingsdal, Morten; McCarley, Robert W.; McDonald, Colm; McIntosh, Andrew M.; Meier, Sandra; Meijer, Carin J.; Melegh, Bela; Melle, Ingrid; Mesholam-Gately, Raquelle I.; Metspalu, Andres; Michie, Patricia T.; Milani, Lili; Milanova, Vihra; Mokrab, Younes; Morris, Derek W.; Mors, Ole; Mortensen, Preben B.; Murphy, Kieran C.; Murray, Robin M.; Myin-Germeys, Inez; Mller-Myhsok, Bertram; Nelis, Mari; Nenadic, Igor; Nertney, Deborah A.; Nestadt, Gerald; Nicodemus, Kristin K.; Nikitina-Zake, Liene; Nisenbaum, Laura; Nordin, Annelie; O’Callaghan, Eadbhard; O’Dushlaine, Colm; O’Neill, F. Anthony; Oh, Sang-Yun; Olincy, Ann; Olsen, Line; Van Os, Jim; Pantelis, Christos; Papadimitriou, George N.; Papiol, Sergi; Parkhomenko, Elena; Pato, Michele T.; Paunio, Tiina; Pejovic-Milovancevic, Milica; Perkins, Diana O.; Pietilinen, Olli; Pimm, Jonathan; Pocklington, Andrew J.; Powell, John; Price, Alkes; Pulver, Ann E.; Purcell, Shaun M.; Quested, Digby; Rasmussen, Henrik B.; Reichenberg, Abraham; Reimers, Mark A.; Richards, Alexander L.; Roffman, Joshua L.; Roussos, Panos; Ruderfer, Douglas M.; Salomaa, Veikko; Sanders, Alan R.; Schall, Ulrich; Schubert, Christian R.; Schulze, Thomas G.; Schwab, Sibylle G.; Scolnick, Edward M.; Scott, Rodney J.; Seidman, Larry J.; Shi, Jianxin; Sigurdsson, Engilbert; Silagadze, Teimuraz; Silverman, Jeremy M.; Sim, Kang; Slominsky, Petr; Smoller, Jordan W.; So, Hon-Cheong; Spencer, Chris C.A.; Stahl, Eli A.; Stefansson, Hreinn; Steinberg, Stacy; Stogmann, Elisabeth; Straub, Richard E.; Strengman, Eric; Strohmaier, Jana; Stroup, T. Scott; Subramaniam, Mythily; Suvisaari, Jaana; Svrakic, Dragan M.; Szatkiewicz, Jin P.; Sderman, Erik; Thirumalai, Srinivas; Toncheva, Draga; Tooney, Paul A.; Tosato, Sarah; Veijola, Juha

    2014-01-01

    Regulatory and coding variants are known to be enriched with associations identified by genome-wide association studies (GWASs) of complex disease, but their contributions to trait heritability are currently unknown. We applied variance-component methods to imputed genotype data for 11 common diseases to partition the heritability explained by genotyped SNPs (hg2) across functional categories (while accounting for shared variance due to linkage disequilibrium). Extensive simulations showed that in contrast to current estimates from GWAS summary statistics, the variance-component approach partitions heritability accurately under a wide range of complex-disease architectures. Across the 11 diseases DNaseI hypersensitivity sites (DHSs) from 217 cell types spanned 16% of imputed SNPs (and 24% of genotyped SNPs) but explained an average of 79% (SE = 8%) of hg2 from imputed SNPs (5.1× enrichment; p = 3.7 × 10−17) and 38% (SE = 4%) of hg2 from genotyped SNPs (1.6× enrichment, p = 1.0 × 10−4). Further enrichment was observed at enhancer DHSs and cell-type-specific DHSs. In contrast, coding variants, which span 1% of the genome, explained <10% of hg2 despite having the highest enrichment. We replicated these findings but found no significant contribution from rare coding variants in independent schizophrenia cohorts genotyped on GWAS and exome chips. Our results highlight the value of analyzing components of heritability to unravel the functional architecture of common disease. PMID:25439723

  19. Discovery of Novel Splice Variants and Regulatory Mechanisms for Microsomal Triglyceride Transfer Protein in Human Tissues

    Science.gov (United States)

    Suzuki, Takashi; Swift, Larry L.

    2016-01-01

    Microsomal triglyceride transfer protein (MTP) is a unique lipid transfer protein essential for the assembly of triglyceride-rich lipoproteins by the liver and intestine. Previous studies in mice identified a splice variant of MTP with an alternate first exon. Splice variants of human MTP have not been reported. Using PCR approaches we have identified two splice variants in human tissues, which we have named MTP-B and MTP-C. MTP-B has a unique first exon (Ex1B) located 10.5 kb upstream of the first exon (Ex1A) for canonical MTP (MTP-A); MTP-C contains both first exons for MTP-A and MTP-B. MTP-B was found in a number of tissues, whereas MTP-C was prominent in brain and testis. MTP-B does not encode a protein; MTP-C encodes the same protein encoded by MTP-A, although MTP-C translation is strongly inhibited by regulatory elements within its 5′-UTR. Using luciferase assays, we demonstrate that the promoter region upstream of exon 1B is quite adequate to drive expression of MTP. We conclude that alternate splicing plays a key role in regulating cellular MTP levels by introducing distinct promoter regions and unique 5′-UTRs, which contain elements that alter translation efficiency, enabling the cell to optimize MTP activity. PMID:27256115

  20. Primary osteoarthritis of the hip: a genetic disease caused by European genetic variants.

    Science.gov (United States)

    Hoaglund, Franklin T

    2013-03-06

    Primary osteoarthritis of the hip is a separate phenotype that occurs at a rate of 3% to 6% in the populations of the world with European ancestry. In all non-European populations, there is a consistent rarity of primary osteoarthritis that suggests a different etiology for these few patients. Family, sibling, and twin studies prove primary osteoarthritis to be a genetic disease with a 50% heritability caused by European genetic variants. The genetic basis is reinforced by the lower rate of primary osteoarthritis in American minorities consistent with their degree of European gene admixture. Whether the mechanism of degeneration of primary osteoarthritis may be secondary through a morphologic deformity, such as femoroacetabular impingement, remains unknown. The virtual absence of the disease in non-Europeans indicates that the European gene component is necessary for the expression of this separate phenotype of osteoarthritis.

  1. Regulatory options for genetically modified crops in India.

    Science.gov (United States)

    Choudhary, Bhagirath; Gheysen, Godelieve; Buysse, Jeroen; van der Meer, Piet; Burssens, Sylvia

    2014-02-01

    The introduction of semi-dwarfing, high-yielding and nutrients-responsive crop varieties in the 1960s and 1970s alleviated the suffering of low crop yield, food shortages and epidemics of famine in India and other parts of the Asian continent. Two semi-dwarfing genes, Rht in wheat and Sd-1 in rice heralded the green revolution for which Dr. Norman Borlaug was awarded the Nobel Peace Prize in 1970. In contrast, the revolutionary new genetics of crop improvement shamble over formidable obstacles of regulatory delays, political interferences and public misconceptions. India benefited immensely from the green revolution and is now grappling to deal with the nuances of GM crops. The development of GM mustard discontinued prematurely in 2001 and insect-resistant Bt cotton varieties were successfully approved for commercial cultivation in 2002 in an evolving nature of regulatory system. However, the moratorium on Bt brinjal by MOEF in 2010 meant a considerable detour from an objective, science-based, rigorous institutional process of regulatory approval to a more subjective, nonscience-driven, political decision-making process. This study examines what ails the regulatory system of GM crops in India and the steps that led to the regulatory logjam. Responding to the growing challenges and impediments of existing biosafety regulation, it suggests options that are critical for GM crops to take roots for a multiplier harvest.

  2. A method of predicting changes in human gene splicing induced by genetic variants in context of cis-acting elements

    Directory of Open Access Journals (Sweden)

    Hicks Chindo

    2010-01-01

    Full Text Available Abstract Background Polymorphic variants and mutations disrupting canonical splicing isoforms are among the leading causes of human hereditary disorders. While there is a substantial evidence of aberrant splicing causing Mendelian diseases, the implication of such events in multi-genic disorders is yet to be well understood. We have developed a new tool (SpliceScan II for predicting the effects of genetic variants on splicing and cis-regulatory elements. The novel Bayesian non-canonical 5'GC splice site (SS sensor used in our tool allows inference on non-canonical exons. Results Our tool performed favorably when compared with the existing methods in the context of genes linked to the Autism Spectrum Disorder (ASD. SpliceScan II was able to predict more aberrant splicing isoforms triggered by the mutations, as documented in DBASS5 and DBASS3 aberrant splicing databases, than other existing methods. Detrimental effects behind some of the polymorphic variations previously associated with Alzheimer's and breast cancer could be explained by changes in predicted splicing patterns. Conclusions We have developed SpliceScan II, an effective and sensitive tool for predicting the detrimental effects of genomic variants on splicing leading to Mendelian and complex hereditary disorders. The method could potentially be used to screen resequenced patient DNA to identify de novo mutations and polymorphic variants that could contribute to a genetic disorder.

  3. MicroRNA Genetic Variation: From Population Analysis to Functional Implications of Three Allele Variants Associated with Cancer.

    Science.gov (United States)

    Torruella-Loran, Ignasi; Laayouni, Hafid; Dobon, Begoña; Gallego, Alicia; Balcells, Ingrid; Garcia-Ramallo, Eva; Espinosa-Parrilla, Yolanda

    2016-10-01

    Nucleotide variants in microRNA regions have been associated with disease; nevertheless, few studies still have addressed the allele-dependent effect of these changes. We studied microRNA genetic variation in human populations and found that while low-frequency variants accumulate indistinctly in microRNA regions, the mature and seed regions tend to be depleted of high-frequency variants, probably as a result of purifying selection. Comparison of pairwise population fixation indexes among regions showed that the seed had higher population fixation indexes than the other regions, suggesting the existence of local adaptation in the seed region. We further performed functional studies of three microRNA variants associated with cancer (rs2910164:C > G in MIR146A, rs11614913:C > T in MIR196A2, and rs3746444:A > G in both MIR499A and MIR499B). We found differences in the expression between alleles and in the regulation of several genes involved in cancer, such as TP53, KIT, CDH1, CLH, and TERT, which may result in changes in regulatory networks related to tumorigenesis. Furthermore, luciferase-based assays showed that MIR499A could be regulating the cadherin CDH1 and the cell adhesion molecule CLH1 in an allele-dependent fashion. A better understanding of the effect of microRNA variants associated with disease could be key in our way to a more personalized medicine.

  4. Legal and regulatory aspects of genetically engineered animals.

    Science.gov (United States)

    Jones, D D

    1986-01-01

    The commercialization of genetically engineered food animals will pose a number of legal and regulatory questions. These may be grouped into questions of process and questions of products. The process of animal genetic engineering with artificially constructed vectors will probably be regulated in much the same manner as other veterinary procedures. There may be some discussion, however, as to whether animal drug or animal biologic regulations are more applicable. The products of animal genetic engineering, i.e., transgenic food animals and food products made from them, also raise important questions about product safety and identity. These include whether and how genetically engineered food animals will be subject to federal inspection for wholesomeness, whether artificial vectors, foreign genes, or gene products will adulterate recipient animal tissues, and how food products made from such animals will be labeled. Prior federal experience with the inspection of interspecific hybrids of cattle and buffalo provides a useful basis for further policy developments in the inspection and labeling of genetically engineered food animals. In particular, the inspection of cattle/buffalo hybrids has established a phenotypic (based on appearance) criterion for deciding how novel food animals should be inspected. As the genetic engineering of food animals on a production basis draws nearer, it may be necessary to supplement the phenotypic criterion with genetic (based on pedigree) criteria to assure that the essential characteristics of animals slaughtered under current food statutes are maintained.

  5. Functional Assessment of Disease-Associated Regulatory Variants In Vivo Using a Versatile Dual Colour Transgenesis Strategy in Zebrafish

    Science.gov (United States)

    Bhatia, Shipra; Gordon, Christopher T.; Foster, Robert G.; Melin, Lucie; Abadie, Véronique; Baujat, Geneviève; Vazquez, Marie-Paule; Amiel, Jeanne; Lyonnet, Stanislas; van Heyningen, Veronica; Kleinjan, Dirk A.

    2015-01-01

    Disruption of gene regulation by sequence variation in non-coding regions of the genome is now recognised as a significant cause of human disease and disease susceptibility. Sequence variants in cis-regulatory elements (CREs), the primary determinants of spatio-temporal gene regulation, can alter transcription factor binding sites. While technological advances have led to easy identification of disease-associated CRE variants, robust methods for discerning functional CRE variants from background variation are lacking. Here we describe an efficient dual-colour reporter transgenesis approach in zebrafish, simultaneously allowing detailed in vivo comparison of spatio-temporal differences in regulatory activity between putative CRE variants and assessment of altered transcription factor binding potential of the variant. We validate the method on known disease-associated elements regulating SHH, PAX6 and IRF6 and subsequently characterise novel, ultra-long-range SOX9 enhancers implicated in the craniofacial abnormality Pierre Robin Sequence. The method provides a highly cost-effective, fast and robust approach for simultaneously unravelling in a single assay whether, where and when in embryonic development a disease-associated CRE-variant is affecting its regulatory function. PMID:26030420

  6. Assessment of Functional Effects of Unclassified Genetic Variants

    NARCIS (Netherlands)

    Couch, Fergus J.; Rasmussen, Lene Juel; Hofstra, Robert; Monteiro, Alvaro N. A.; Greenblatt, Marc S.; de Wind, Niels

    2008-01-01

    Inherited predisposition to disease is often linked to reduced activity of a disease associated gene product. Thus, quantitation of the influence of inherited variants on gene function can potentially be used to predict the disease relevance of these variants. While many disease genes have been exte

  7. Human thromboxane A2 receptor genetic variants: in silico, in vitro and "in platelet" analysis.

    Directory of Open Access Journals (Sweden)

    Scott Gleim

    Full Text Available Thromboxane and its receptor have emerged as key players in modulating vascular thrombotic events. Thus, a dysfunctional hTP genetic variant may protect against (hypoactivity or promote (hyperactivity vascular events, based upon its activity on platelets. After extensive in silico analysis, six hTP-α variants were selected (C(68S, V(80E, E(94V, A(160T, V(176E, and V(217I for detailed biochemical studies based on structural proximity to key regions involved in receptor function and in silico predictions. Variant biochemical profiles ranged from severe instability (C(68S to normal (V(217I, with most variants demonstrating functional alteration in binding, expression or activation (V(80E, E(94V, A(160T, and V(176E. In the absence of patient platelet samples, we developed and validated a novel megakaryocyte based system to evaluate human platelet function in the presence of detected dysfunctional genetic variants. Interestingly, variant V80E exhibited reduced platelet activation whereas A160T demonstrated platelet hyperactivity. This report provides the most comprehensive in silico, in vitro and "in platelet" evaluation of hTP variants to date and highlightscurrent inherent problems in evaluating genetic variants, with possible solutions. The study additionally provides clinical relevance to characterized dysfunctional hTP variants.

  8. New exome data question the pathogenicity of genetic variants previously associated with catecholaminergic polymorphic ventricular tachycardia

    DEFF Research Database (Denmark)

    Jabbari, Javad; Jabbari, Reza; Nielsen, Morten Wagner

    2013-01-01

    Catecholaminergic polymorphic ventricular tachycardia (CPVT) is a lethal, rare hereditary disease with an estimated prevalence of 1:10 000. The genetic variants that cause CPVT are usually highly penetrant. To date, about 189 variants in 5 genes (RYR2, CASQ2, CALM1, TRND, and KCNJ2) have been...

  9. The role of DCDC2 genetic variants and low socioeconomic status in vulnerability to attention problems.

    Science.gov (United States)

    Riva, Valentina; Marino, Cecilia; Giorda, Roberto; Molteni, Massimo; Nobile, Maria

    2015-03-01

    Both genetic and socio-demographic factors influence the risk for behavioral problems in the developmental age. Genetic studies indicate that shared genetic factors partially contribute to behavioral and learning problems, in particular reading disabilities (RD). For the first time, we explore the conjoint role of DCDC2 gene, an identified RD candidate gene, and socioeconomic status (SES) upon behavioral phenotypes in a general population of Italian children. Two of the most replicated DCDC2 markers [i.e., regulatory element associated with dyslexia 1 (READ1), rs793862] were genotyped in 631 children (boys = 314; girls = 317) aged 11-14 years belonging to a community-based sample. Main and interactive effects were tested by MANOVA for each combination of DCDC2 genotypes and socioeconomic status upon emotional and behavioral phenotypes, assessed by Child Behavior Check-List/6-18. The two-way MANOVA (Bonferroni corrected p value = 0.01) revealed a trend toward significance of READ1(4) effect (F = 2.39; p = 0.016), a significant main effect of SES (F = 3.01; p = 0.003) and interactive effect of READ1(4) × SES (F = 2.65; p = 0.007) upon behavioral measures, showing higher attention problems scores among subjects 'READ1(4+) and low SES' compared to all other groups (p values range 0.00003-0.0004). ANOVAs stratified by gender confirmed main and interactive effects among girls, but not boys. Among children exposed to low socioeconomic level, READ1 genetic variant targets the worst outcome in children's attention.

  10. Copy number variants in candidate genes are genetic modifiers of Hirschsprung disease.

    Directory of Open Access Journals (Sweden)

    Qian Jiang

    Full Text Available Hirschsprung disease (HSCR is a neurocristopathy characterized by absence of intramural ganglion cells along variable lengths of the gastrointestinal tract. The HSCR phenotype is highly variable with respect to gender, length of aganglionosis, familiality and the presence of additional anomalies. By molecular genetic analysis, a minimum of 11 neuro-developmental genes (RET, GDNF, NRTN, SOX10, EDNRB, EDN3, ECE1, ZFHX1B, PHOX2B, KIAA1279, TCF4 are known to harbor rare, high-penetrance mutations that confer a large risk to the bearer. In addition, two other genes (RET, NRG1 harbor common, low-penetrance polymorphisms that contribute only partially to risk and can act as genetic modifiers. To broaden this search, we examined whether a set of 67 proven and candidate HSCR genes harbored additional modifier alleles. In this pilot study, we utilized a custom-designed array CGH with ∼33,000 test probes at an average resolution of ∼185 bp to detect gene-sized or smaller copy number variants (CNVs within these 67 genes in 18 heterogeneous HSCR patients. Using stringent criteria, we identified CNVs at three loci (MAPK10, ZFHX1B, SOX2 that are novel, involve regulatory and coding sequences of neuro-developmental genes, and show association with HSCR in combination with other congenital anomalies. Additional CNVs are observed under relaxed criteria. Our research suggests a role for CNVs in HSCR and, importantly, emphasizes the role of variation in regulatory sequences. A much larger study will be necessary both for replication and for identifying the full spectrum of small CNV effects.

  11. The association of XRCC3 Thr241Met genetic variant with risk of ...

    African Journals Online (AJOL)

    Methods: We identified three eligible studies, 499 prostate cancer cases and 571 ... Conclusions: Results from this meta-analysis indicate that the XRCC3 Thr241Met genetic variant is associated with prostate cancer risk. ... Article Metrics.

  12. Genetic variants in hormone-related genes and risk of breast cancer.

    Directory of Open Access Journals (Sweden)

    Tess Clendenen

    Full Text Available Sex hormones play a key role in the development of breast cancer. Certain polymorphic variants (SNPs and repeat polymorphisms in hormone-related genes are associated with sex hormone levels. However, the relationship observed between these genetic variants and breast cancer risk has been inconsistent. We conducted a case-control study nested within two prospective cohorts to assess the relationship between specific genetic variants in hormone-related genes and breast cancer risk. In total, 1164 cases and 2111 individually-matched controls were included in the study. We did not observe an association between potential functional genetic polymorphisms in the estrogen pathway, SHBG rs6259, ESR1 rs2234693, CYP19 rs10046 and rs4775936, and UGT1A1 rs8175347, or the progesterone pathway, PGR rs1042838, with the risk of breast cancer. Our results suggest that these genetic variants do not have a strong effect on breast cancer risk.

  13. Partitioning Heritability of Regulatory and Cell-Type-Specific Variants across 11 Common Diseases

    DEFF Research Database (Denmark)

    Gusev, Alexander; Lee, S Hong; Trynka, Gosia

    2014-01-01

    Regulatory and coding variants are known to be enriched with associations identified by genome-wide association studies (GWASs) of complex disease, but their contributions to trait heritability are currently unknown. We applied variance-component methods to imputed genotype data for 11 common...... diseases to partition the heritability explained by genotyped SNPs (hg(2)) across functional categories (while accounting for shared variance due to linkage disequilibrium). Extensive simulations showed that in contrast to current estimates from GWAS summary statistics, the variance-component approach...... partitions heritability accurately under a wide range of complex-disease architectures. Across the 11 diseases DNaseI hypersensitivity sites (DHSs) from 217 cell types spanned 16% of imputed SNPs (and 24% of genotyped SNPs) but explained an average of 79% (SE = 8%) of hg(2) from imputed SNPs (5.1× enrichment...

  14. Genetic Redundancies Enhance Information Transfer in Noisy Regulatory Circuits

    Science.gov (United States)

    Rodrigo, Guillermo; Poyatos, Juan F.

    2016-01-01

    Cellular decision making is based on regulatory circuits that associate signal thresholds to specific physiological actions. This transmission of information is subjected to molecular noise what can decrease its fidelity. Here, we show instead how such intrinsic noise enhances information transfer in the presence of multiple circuit copies. The result is due to the contribution of noise to the generation of autonomous responses by each copy, which are altogether associated with a common decision. Moreover, factors that correlate the responses of the redundant units (extrinsic noise or regulatory cross-talk) contribute to reduce fidelity, while those that further uncouple them (heterogeneity within the copies) can lead to stronger information gain. Overall, our study emphasizes how the interplay of signal thresholding, redundancy, and noise influences the accuracy of cellular decision making. Understanding this interplay provides a basis to explain collective cell signaling mechanisms, and to engineer robust decisions with noisy genetic circuits. PMID:27741249

  15. Identifying genetic risk variants for coronary heart disease in familial hypercholesterolemia: an extreme genetics approach

    Science.gov (United States)

    Versmissen, Jorie; Oosterveer, Daniëlla M; Yazdanpanah, Mojgan; Dehghan, Abbas; Hólm, Hilma; Erdman, Jeanette; Aulchenko, Yurii S; Thorleifsson, Gudmar; Schunkert, Heribert; Huijgen, Roeland; Vongpromek, Ranitha; Uitterlinden, André G; Defesche, Joep C; van Duijn, Cornelia M; Mulder, Monique; Dadd, Tony; Karlsson, Hróbjartur D; Ordovas, Jose; Kindt, Iris; Jarman, Amelia; Hofman, Albert; van Vark-van der Zee, Leonie; Blommesteijn-Touw, Adriana C; Kwekkeboom, Jaap; Liem, Anho H; van der Ouderaa, Frans J; Calandra, Sebastiano; Bertolini, Stefano; Averna, Maurizio; Langslet, Gisle; Ose, Leiv; Ros, Emilio; Almagro, Fátima; de Leeuw, Peter W; Civeira, Fernando; Masana, Luis; Pintó, Xavier; Simoons, Maarten L; Schinkel, Arend FL; Green, Martin R; Zwinderman, Aeilko H; Johnson, Keith J; Schaefer, Arne; Neil, Andrew; Witteman, Jacqueline CM; Humphries, Steve E; Kastelein, John JP; Sijbrands, Eric JG

    2015-01-01

    Mutations in the low-density lipoprotein receptor (LDLR) gene cause familial hypercholesterolemia (FH), a disorder characterized by coronary heart disease (CHD) at young age. We aimed to apply an extreme sampling method to enhance the statistical power to identify novel genetic risk variants for CHD in individuals with FH. We selected cases and controls with an extreme contrast in CHD risk from 17 000 FH patients from the Netherlands, whose functional LDLR mutation was unequivocally established. The genome-wide association (GWA) study was performed on 249 very young FH cases with CHD and 217 old FH controls without CHD (above 65 years for males and 70 years of age for females) using the Illumina HumanHap550K chip. In the next stage, two independent samples (one from the Netherlands and one from Italy, Norway, Spain, and the United Kingdom) of FH patients were used as replication samples. In the initial GWA analysis, we identified 29 independent single nucleotide polymorphisms (SNPs) with suggestive associations with premature CHD (P<1 × 10−4). We examined the association of these SNPs with CHD risk in the replication samples. After Bonferroni correction, none of the SNPs either replicated or reached genome-wide significance after combining the discovery and replication samples. Therefore, we conclude that the genetics of CHD risk in FH is complex and even applying an ‘extreme genetics' approach we did not identify new genetic risk variants. Most likely, this method is not as effective in leveraging effect size as anticipated, and may, therefore, not lead to significant gains in statistical power. PMID:24916650

  16. Whole-genome sequencing and genetic variant analysis of a Quarter Horse mare.

    Science.gov (United States)

    Doan, Ryan; Cohen, Noah D; Sawyer, Jason; Ghaffari, Noushin; Johnson, Charlie D; Dindot, Scott V

    2012-02-17

    The catalog of genetic variants in the horse genome originates from a few select animals, the majority originating from the Thoroughbred mare used for the equine genome sequencing project. The purpose of this study was to identify genetic variants, including single nucleotide polymorphisms (SNPs), insertion/deletion polymorphisms (INDELs), and copy number variants (CNVs) in the genome of an individual Quarter Horse mare sequenced by next-generation sequencing. Using massively parallel paired-end sequencing, we generated 59.6 Gb of DNA sequence from a Quarter Horse mare resulting in an average of 24.7X sequence coverage. Reads were mapped to approximately 97% of the reference Thoroughbred genome. Unmapped reads were de novo assembled resulting in 19.1 Mb of new genomic sequence in the horse. Using a stringent filtering method, we identified 3.1 million SNPs, 193 thousand INDELs, and 282 CNVs. Genetic variants were annotated to determine their impact on gene structure and function. Additionally, we genotyped this Quarter Horse for mutations of known diseases and for variants associated with particular traits. Functional clustering analysis of genetic variants revealed that most of the genetic variation in the horse's genome was enriched in sensory perception, signal transduction, and immunity and defense pathways. This is the first sequencing of a horse genome by next-generation sequencing and the first genomic sequence of an individual Quarter Horse mare. We have increased the catalog of genetic variants for use in equine genomics by the addition of novel SNPs, INDELs, and CNVs. The genetic variants described here will be a useful resource for future studies of genetic variation regulating performance traits and diseases in equids.

  17. Whole-Genome sequencing and genetic variant analysis of a quarter Horse mare

    Directory of Open Access Journals (Sweden)

    Doan Ryan

    2012-02-01

    Full Text Available Abstract Background The catalog of genetic variants in the horse genome originates from a few select animals, the majority originating from the Thoroughbred mare used for the equine genome sequencing project. The purpose of this study was to identify genetic variants, including single nucleotide polymorphisms (SNPs, insertion/deletion polymorphisms (INDELs, and copy number variants (CNVs in the genome of an individual Quarter Horse mare sequenced by next-generation sequencing. Results Using massively parallel paired-end sequencing, we generated 59.6 Gb of DNA sequence from a Quarter Horse mare resulting in an average of 24.7X sequence coverage. Reads were mapped to approximately 97% of the reference Thoroughbred genome. Unmapped reads were de novo assembled resulting in 19.1 Mb of new genomic sequence in the horse. Using a stringent filtering method, we identified 3.1 million SNPs, 193 thousand INDELs, and 282 CNVs. Genetic variants were annotated to determine their impact on gene structure and function. Additionally, we genotyped this Quarter Horse for mutations of known diseases and for variants associated with particular traits. Functional clustering analysis of genetic variants revealed that most of the genetic variation in the horse's genome was enriched in sensory perception, signal transduction, and immunity and defense pathways. Conclusions This is the first sequencing of a horse genome by next-generation sequencing and the first genomic sequence of an individual Quarter Horse mare. We have increased the catalog of genetic variants for use in equine genomics by the addition of novel SNPs, INDELs, and CNVs. The genetic variants described here will be a useful resource for future studies of genetic variation regulating performance traits and diseases in equids.

  18. Whole-genome sequencing and genetic variant analysis of a Quarter Horse mare.

    KAUST Repository

    Doan, Ryan

    2012-02-17

    BACKGROUND: The catalog of genetic variants in the horse genome originates from a few select animals, the majority originating from the Thoroughbred mare used for the equine genome sequencing project. The purpose of this study was to identify genetic variants, including single nucleotide polymorphisms (SNPs), insertion/deletion polymorphisms (INDELs), and copy number variants (CNVs) in the genome of an individual Quarter Horse mare sequenced by next-generation sequencing. RESULTS: Using massively parallel paired-end sequencing, we generated 59.6 Gb of DNA sequence from a Quarter Horse mare resulting in an average of 24.7X sequence coverage. Reads were mapped to approximately 97% of the reference Thoroughbred genome. Unmapped reads were de novo assembled resulting in 19.1 Mb of new genomic sequence in the horse. Using a stringent filtering method, we identified 3.1 million SNPs, 193 thousand INDELs, and 282 CNVs. Genetic variants were annotated to determine their impact on gene structure and function. Additionally, we genotyped this Quarter Horse for mutations of known diseases and for variants associated with particular traits. Functional clustering analysis of genetic variants revealed that most of the genetic variation in the horse\\'s genome was enriched in sensory perception, signal transduction, and immunity and defense pathways. CONCLUSIONS: This is the first sequencing of a horse genome by next-generation sequencing and the first genomic sequence of an individual Quarter Horse mare. We have increased the catalog of genetic variants for use in equine genomics by the addition of novel SNPs, INDELs, and CNVs. The genetic variants described here will be a useful resource for future studies of genetic variation regulating performance traits and diseases in equids.

  19. A monomeric variant of insulin degrading enzyme (IDE loses its regulatory properties.

    Directory of Open Access Journals (Sweden)

    Eun Suk Song

    Full Text Available BACKGROUND: Insulin degrading enzyme (IDE is a key enzyme in the metabolism of both insulin and amyloid beta peptides. IDE is unique in that it is subject to allosteric activation which is hypothesized to occur through an oligomeric structure. METHODOLOGY/PRINCIPAL FINDINGS: IDE is known to exist as an equilibrium mixture of monomers, dimers, and higher oligomers, with the dimer being the predominant form. Based on the crystal structure of IDE we deleted the putative dimer interface in the C-terminal region, which resulted in a monomeric variant. Monomeric IDE retained enzymatic activity, however instead of the allosteric behavior seen with wild type enzyme it displayed Michaelis-Menten kinetic behavior. With the substrate Abz-GGFLRKHGQ-EDDnp, monomeric IDE retained approximately 25% of the wild type activity. In contrast with the larger peptide substrates beta-endorphin and amyloid beta peptide 1-40, monomeric IDE retained only 1 to 0.25% of wild type activity. Unlike wild type IDE neither bradykinin nor dynorphin B-9 activated the monomeric variant of the enzyme. Similarly, monomeric IDE was not activated by polyphosphates under conditions in which the activity of wild type enzyme was increased more than 50 fold. CONCLUSIONS/SIGNIFICANCE: These findings serve to establish the dimer interface in IDE and demonstrate the requirement for an oligomeric form of the enzyme for its regulatory properties. The data support a mechanism where the binding of activators to oligomeric IDE induces a conformational change that cannot occur in the monomeric variant. Since a conformational change from a closed to a more open structure is likely the rate-determining step in the IDE reaction, the subunit induced conformational change likely shifts the structure of the oligomeric enzyme to a more open conformation.

  20. Mutations in complement regulatory proteins predispose to preeclampsia: a genetic analysis of the PROMISSE cohort.

    Directory of Open Access Journals (Sweden)

    Jane E Salmon

    2011-03-01

    Full Text Available BACKGROUND: Pregnancy in women with systemic lupus erythematosus (SLE or antiphospholipid antibodies (APL Ab--autoimmune conditions characterized by complement-mediated injury--is associated with increased risk of preeclampsia and miscarriage. Our previous studies in mice indicate that complement activation targeted to the placenta drives angiogenic imbalance and placental insufficiency. METHODS AND FINDINGS: We use PROMISSE, a prospective study of 250 pregnant patients with SLE and/or APL Ab, to test the hypothesis in humans that impaired capacity to limit complement activation predisposes to preeclampsia. We sequenced genes encoding three complement regulatory proteins--membrane cofactor protein (MCP, complement factor I (CFI, and complement factor H (CFH--in 40 patients who had preeclampsia and found heterozygous mutations in seven (18%. Five of these patients had risk variants in MCP or CFI that were previously identified in atypical hemolytic uremic syndrome, a disease characterized by endothelial damage. One had a novel mutation in MCP that impairs regulation of C4b. These findings constitute, to our knowledge, the first genetic defects associated with preeclampsia in SLE and/or APL Ab. We confirmed the association of hypomorphic variants of MCP and CFI in a cohort of non-autoimmune preeclampsia patients in which five of 59 were heterozygous for mutations. CONCLUSION: The presence of risk variants in complement regulatory proteins in patients with SLE and/or APL Ab who develop preeclampsia, as well as in preeclampsia patients lacking autoimmune disease, links complement activation to disease pathogenesis and suggests new targets for treatment of this important public health problem. STUDY REGISTRATION: ClinicalTrials.gov NCT00198068.

  1. Direct Correlation of Cell Toxicity to Conformational Ensembles of GeneticVariants

    DEFF Research Database (Denmark)

    Somavarapu, Arun Kumar; Kepp, Kasper Planeta

    2015-01-01

    We report a systematic analysis of conformational ensembles generated from multiseed molecular dynamics simulations of all 15 known genetic variants of Aβ42. We show that experimentally determined variant toxicities are largely explained by random coil content of the amyloid ensembles (correlation......, are fundamentally related to neurodegeneration. The data provide molecular explanations for the high toxicity of E22 variants and for the protective features of the recently characterized A2T variant. The identified conformational features, for example, the local helix-coil-strand transitions of the C...

  2. Modular genetic regulatory networks increase organization during pattern formation.

    Science.gov (United States)

    Mohamadlou, Hamid; Podgorski, Gregory J; Flann, Nicholas S

    2016-08-01

    Studies have shown that genetic regulatory networks (GRNs) consist of modules that are densely connected subnetworks that function quasi-autonomously. Modules may be recognized motifs that comprise of two or three genes with particular regulatory functions and connectivity or be purely structural and identified through connection density. It is unclear what evolutionary and developmental advantages modular structure and in particular motifs provide that have led to this enrichment. This study seeks to understand how modules within developmental GRNs influence the complexity of multicellular patterns that emerge from the dynamics of the regulatory networks. We apply an algorithmic complexity to measure the organization of the patterns. A computational study was performed by creating Boolean intracellular networks within a simulated epithelial field of embryonic cells, where each cell contains the same network and communicates with adjacent cells using contact-mediated signaling. Intracellular networks with random connectivity were compared to those with modular connectivity and with motifs. Results show that modularity effects network dynamics and pattern organization significantly. In particular: (1) modular connectivity alone increases complexity in network dynamics and patterns; (2) bistable switch motifs simplify both the pattern and network dynamics; (3) all other motifs with feedback loops increase multicellular pattern complexity while simplifying the network dynamics; (4) negative feedback loops affect the dynamics complexity more significantly than positive feedback loops.

  3. Regulatory control of genetically modified (GM) foods: likely developments.

    Science.gov (United States)

    Schilter, Benoît; Constable, Anne

    2002-02-28

    The placing of genetically modified (GM) crops on the European market requires a regulatory approval supported by a thorough safety evaluation. This approach has been applied to all GM crops presently on the market. Despite this stringent process there has been an increasing public concern about the impact of GM foods on human health and the environment. In this context, regulatory control may develop in several directions. One response to the public concern is to strengthen the data requirements for the risk assessment process. Several avenues have been proposed. They include the application of technologies such as proteomics and metabolomics to assess unintended changes, and the development of predictive methods to evaluate allergenicity. Obligations for post-launch surveillance have appeared in regulations. Criteria are required to define when and why such approaches are necessary. Significant challenges including feasibility and validation of the methods, and safety relevance of the data generated will have to be addressed before any general application of these new approaches. Effective monitoring requires the ability to identify the presence of GM products and trace their origin. Traceability and labeling are therefore important developments in the GM food regulatory arena. Both require the development of reliable analytical detection tools.

  4. PCSK9 genetic variants and risk of type 2 diabetes

    DEFF Research Database (Denmark)

    Schmidt, Amand F; Swerdlow, Daniel I; Holmes, Michael V;

    2016-01-01

    a standardised analysis plan, meta-analyses, and weighted gene-centric scores. FINDINGS: Data were available for more than 550 000 individuals and 51 623 cases of type 2 diabetes. Combined analyses of four independent PCSK9 variants (rs11583680, rs11591147, rs2479409, and rs11206510) scaled to 1 mmol/L lower LDL......BACKGROUND: Statin treatment and variants in the gene encoding HMG-CoA reductase are associated with reductions in both the concentration of LDL cholesterol and the risk of coronary heart disease, but also with modest hyperglycaemia, increased bodyweight, and modestly increased risk of type 2...... diabetes, which in no way offsets their substantial benefits. We sought to investigate the associations of LDL cholesterol-lowering PCSK9 variants with type 2 diabetes and related biomarkers to gauge the likely effects of PCSK9 inhibitors on diabetes risk. METHODS: In this mendelian randomisation study, we...

  5. Genetic association of marbling score with intragenic nucleotide variants at selection signals of the bovine genome.

    Science.gov (United States)

    Ryu, J; Lee, C

    2016-04-01

    Selection signals of Korean cattle might be attributed largely to artificial selection for meat quality. Rapidly increased intragenic markers of newly annotated genes in the bovine genome would help overcome limited findings of genetic markers associated with meat quality at the selection signals in a previous study. The present study examined genetic associations of marbling score (MS) with intragenic nucleotide variants at selection signals of Korean cattle. A total of 39 092 nucleotide variants of 407 Korean cattle were utilized in the association analysis. A total of 129 variants were selected within newly annotated genes in the bovine genome. Their genetic associations were analyzed using the mixed model with random polygenic effects based on identical-by-state genetic relationships among animals in order to control for spurious associations produced by population structure. Genetic associations of MS were found (PCSPG4). In particular, the genetic associations with CDC42BPA and LARGE were confirmed using an independent data set of Korean cattle. The results implied that allele frequencies of functional variants and their proximity variants have been augmented by directional selection for greater MS and remain selection signals in the bovine genome. Further studies of fine mapping would be useful to incorporate favorable alleles in marker-assisted selection for MS of Korean cattle.

  6. Association of breast cancer risk with genetic variants showing differential allelic expression

    DEFF Research Database (Denmark)

    Hamdi, Yosr; Soucy, Penny; Adoue, Véronique

    2016-01-01

    There are significant inter-individual differences in the levels of gene expression. Through modulation of gene expression, cis-acting variants represent an important source of phenotypic variation. Consequently, cis-regulatory SNPs associated with differential allelic expression are functional c...

  7. Dietary fatty acids modulate associations between genetic variants and circulating fatty acids in plasma and erythrocyte membranes: meta-analysis of 9 studies in the CHARGE consortium

    Science.gov (United States)

    Smith, Caren E.; Follis, Jack L.; Nettleton, Jennifer A.; Foy, Millennia; Wu, Jason H.Y.; Ma, Yiyi; Tanaka, Toshiko; Manichakul, Ani W.; Wu, Hongyu; Chu, Audrey Y.; Steffen, Lyn M.; Fornage, Myriam; Mozaffarian, Dariush; Kabagambe, Edmond K.; Ferruci, Luigi; da Chen, Yii-Der I; Rich, Stephen S.; Djoussé, Luc; Ridker, Paul M.; Tang, Weihong; McKnight, Barbara; Tsai, Michael Y.; Bandinelli, Stefania; Rotter, Jerome I.; Hu, Frank B.; Chasman, Daniel I.; Psaty, Bruce M.; Arnett, Donna K.; King, Irena B.; Sun, Qi; Wang, Lu; Lumley, Thomas; Chiuve, Stephanie E.; Siscovick, David S; Ordovás, José M.; Lemaitre, Rozenn N.

    2015-01-01

    Scope Tissue concentrations of omega-3 fatty acids may reduce cardiovascular disease risk, and genetic variants are associated with circulating fatty acids concentrations. Whether dietary fatty acids interact with genetic variants to modify circulating omega-3 fatty acids is unclear. Objective We evaluated interactions between genetic variants and fatty acid intakes for circulating alpha-linoleic acid (ALA), eicosapentaenoic acid (EPA), docosahexaenoic acid (DHA) and docosapentaenoic acid (DPA). Methods and Results We conducted meta-analyses (N to 11,668) evaluating interactions between dietary fatty acids and genetic variants (rs174538 and rs174548 in FADS1 (fatty acid desaturase 1), rs7435 in AGPAT3 (1-acyl-sn-glycerol-3-phosphate), rs4985167 in PDXDC1 (pyridoxal-dependent decarboxylase domain-containing 1), rs780094 in GCKR (glucokinase regulatory protein) and rs3734398 in ELOVL2 (fatty acid elongase 2)). Stratification by measurement compartment (plasma vs. erthyrocyte) revealed compartment-specific interactions between FADS1 rs174538 and rs174548 and dietary ALA and linoleic acid for DHA and DPA. Conclusion Our findings reinforce earlier reports that genetically-based differences in circulating fatty acids may be partially due to differences in the conversion of fatty acid precursors. Further, fatty acids measurement compartment may modify gene-diet relationships, and considering compartment may improve the detection of gene-fatty acids interactions for circulating fatty acid outcomes. PMID:25626431

  8. Genetic variants in CETP increase risk of intracerebral hemorrhage

    NARCIS (Netherlands)

    Anderson, Christopher D.; Falcone, Guido J.; Phuah, Chia Ling; Radmanesh, Farid; Brouwers, H. Bart; Battey, Thomas W K; Biffi, Alessandro; Peloso, Gina M.; Liu, Dajiang J.; Ayres, Alison M.; Goldstein, Joshua N.; Viswanathan, Anand; Greenberg, Steven M.; Selim, Magdy; Meschia, James F.; Brown, Devin L.; Worrall, Bradford B.; Silliman, Scott L.; Tirschwell, David L.; Flaherty, Matthew L.; Kraft, Peter; Jagiella, Jeremiasz M.; Schmidt, Helena; Hansen, Björn M.; Jimenez-Conde, Jordi; Giralt-Steinhauer, Eva; Elosua, Roberto; Cuadrado-Godia, Elisa; Soriano, Carolina; van Nieuwenhuizen, Koen M.; Klijn, Catharina J M; Rannikmae, Kristiina; Samarasekera, Neshika; Salman, Rustam Al Shahi; Sudlow, Catherine L.; Deary, Ian J.; Morotti, Andrea; Pezzini, Alessandro; Pera, Joanna; Urbanik, Andrzej; Pichler, Alexander; Enzinger, Christian; Norrving, Bo; Montaner, Joan; Fernandez-Cadenas, Israel; Delgado, Pilar; Roquer, Jaume; Lindgren, Arne; Slowik, Agnieszka; Schmidt, Reinhold; Kidwell, Chelsea S.; Kittner, Steven J.; Waddy, Salina P.; Langefeld, Carl D.; Abecasis, Goncalo; Willer, Cristen J.; Kathiresan, Sekar; Woo, Daniel; Rosand, Jonathan

    2016-01-01

    Objective: In observational epidemiologic studies, higher plasma high-density lipoprotein cholesterol (HDL-C) has been associated with increased risk of intracerebral hemorrhage (ICH). DNA sequence variants that decrease cholesteryl ester transfer protein (CETP) gene activity increase plasma HDL-C;

  9. Association between Genetic Variants and Obesity in Iranian Popu¬lation: Review Article

    OpenAIRE

    Tabatabaei-Malazy, Ozra; Khodaeian, Mehrnoosh; Amoli, Mahsa M.

    2015-01-01

    Obesity is currently considered as a serious global health problem which is influenced by environmental and genetic factors. Association of genetic variants with obesity is widely scrutinized in recent years. The aim of this study was to evaluate present data on genetics of obesity in Iranian population in a systematic review study. To obtain all related studies, Google Scholar, PubMed, and Persian web databases; IranMedex and Magiran were searched up to January 2013. The search terms were; “...

  10. Association between Genetic Variants and Obesity in Iranian Popu¬lation: Review Article

    OpenAIRE

    Tabatabaei-Malazy, Ozra; Mehrnoosh KHODAEIAN; Amoli, Mahsa M.

    2015-01-01

    Obesity is currently considered as a serious global health problem which is influenced by environmental and genetic factors. Association of genetic variants with obesity is widely scrutinized in recent years. The aim of this study was to evaluate present data on genetics of obesity in Iranian population in a systematic review study. To obtain all related studies, Google Scholar, PubMed, and Persian web databases; IranMedex and Magiran were searched up to January 2013. The search terms were; “...

  11. Quantitative determination of casein genetic variants in goat milk: Application in Girgentana dairy goat breed.

    Science.gov (United States)

    Montalbano, Maria; Segreto, Roberta; Di Gerlando, Rosalia; Mastrangelo, Salvatore; Sardina, Maria Teresa

    2016-02-01

    The study was conducted to develop a high-performance liquid chromatographic (HPLC) method to quantify casein genetic variants (αs2-, β-, and κ-casein) in milk of homozygous individuals of Girgentana goat breed. For calibration experiments, pure genetic variants were extracted from individual milk samples of animals with known genotypes. The described HPLC approach was precise, accurate and highly suitable for quantification of goat casein genetic variants of homozygous individuals. The amount of each casein per allele was: αs2-casein A = 2.9 ± 0.8 g/L and F = 1.8 ± 0.4 g/L; β-casein C = 3.0 ± 0.8 g/L and C1 = 2.0 ± 0.7 g/L and κ-casein A = 1.6 ± 0.3 g/L and B = 1.1 ± 0.2 g/L. A good correlation was found between the quantities of αs2-casein genetic variants A and F, and β-casein C and C1 with other previously described method. The main important result was obtained for κ-casein because, till now, no data were available on quantification of single genetic variants for this protein.

  12. Discriminatory power of common genetic variants in personalized breast cancer diagnosis

    Science.gov (United States)

    Wu, Yirong; Abbey, Craig K.; Liu, Jie; Ong, Irene; Peissig, Peggy; Onitilo, Adedayo A.; Fan, Jun; Yuan, Ming; Burnside, Elizabeth S.

    2016-03-01

    Technology advances in genome-wide association studies (GWAS) has engendered optimism that we have entered a new age of precision medicine, in which the risk of breast cancer can be predicted on the basis of a person's genetic variants. The goal of this study is to evaluate the discriminatory power of common genetic variants in breast cancer risk estimation. We conducted a retrospective case-control study drawing from an existing personalized medicine data repository. We collected variables that predict breast cancer risk: 153 high-frequency/low-penetrance genetic variants, reflecting the state-of-the-art GWAS on breast cancer, mammography descriptors and BI-RADS assessment categories in the Breast Imaging Reporting and Data System (BI-RADS) lexicon. We trained and tested naïve Bayes models by using these predictive variables. We generated ROC curves and used the area under the ROC curve (AUC) to quantify predictive performance. We found that genetic variants achieved comparable predictive performance to BI-RADS assessment categories in terms of AUC (0.650 vs. 0.659, p-value = 0.742), but significantly lower predictive performance than the combination of BI-RADS assessment categories and mammography descriptors (0.650 vs. 0.751, p-value < 0.001). A better understanding of relative predictive capability of genetic variants and mammography data may benefit clinicians and patients to make appropriate decisions about breast cancer screening, prevention, and treatment in the era of precision medicine.

  13. A robust approach to identifying tissue-specific gene expression regulatory variants using personalized human induced pluripotent stem cells.

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    Je-Hyuk Lee

    2009-11-01

    Full Text Available Normal variation in gene expression due to regulatory polymorphisms is often masked by biological and experimental noise. In addition, some regulatory polymorphisms may become apparent only in specific tissues. We derived human induced pluripotent stem (iPS cells from adult skin primary fibroblasts and attempted to detect tissue-specific cis-regulatory variants using in vitro cell differentiation. We used padlock probes and high-throughput sequencing for digital RNA allelotyping and measured allele-specific gene expression in primary fibroblasts, lymphoblastoid cells, iPS cells, and their differentiated derivatives. We show that allele-specific expression is both cell type and genotype-dependent, but the majority of detectable allele-specific expression loci remains consistent despite large changes in the cell type or the experimental condition following iPS reprogramming, except on the X-chromosome. We show that our approach to mapping cis-regulatory variants reduces in vitro experimental noise and reveals additional tissue-specific variants using skin-derived human iPS cells.

  14. Genetic Variants Associated With Glycine Metabolism and Their Role in Insulin Sensitivity and Type 2 Diabetes

    DEFF Research Database (Denmark)

    Xie, W. J.; Wood, A. R.; Lyssenko, V.;

    2013-01-01

    . The top-ranking metabolites were in the glutathione and glycine biosynthesis pathways. We aimed to identify common genetic variants associated with metabolites in these pathways and test their role in insulin sensitivity and type 2 diabetes. With 1,004 nondiabetic individuals from the RISC study, we...... performed a genome-wide association study (GWAS) of 14 insulin sensitivity-related metabolites and one metabolite ratio. We replicated our results in the Botnia study (n = 342). We assessed the association of these variants with diabetes-related traits in GWAS meta-analyses (GENESIS [including RISC, EUGENE2...... for association between these variants and insulin resistance or diabetes. Genetic variants associated with genes in the glycine biosynthesis pathways do not provide consistent evidence for a role of glycine in diabetes-related traits....

  15. Impact of predicted protein-truncating genetic variants on the human transcriptome

    Science.gov (United States)

    Rivas, Manuel A.; Pirinen, Matti; Conrad, Donald F.; Lek, Monkol; Tsang, Emily K.; Karczewski, Konrad J.; Maller, Julian B.; Kukurba, Kimberly R.; DeLuca, David; Fromer, Menachem; Ferreira, Pedro G.; Smith, Kevin S.; Zhang, Rui; Zhao, Fengmei; Banks, Eric; Poplin, Ryan; Ruderfer, Douglas; Purcell, Shaun M.; Tukiainen, Taru; Minikel, Eric V.; Stenson, Peter D.; Cooper, David N.; Huang, Katharine H.; Sullivan, Timothy J.; Nedzel, Jared; Bustamante, Carlos D.; Li, Jin Billy; Daly, Mark J.; Guigo, Roderic; Donnelly, Peter; Ardlie, Kristin; Sammeth, Michael; Dermitzakis, Emmanouil; McCarthy, Mark I.; Montgomery, Stephen B.; Lappalainen, Tuuli; MacArthur, Daniel G.

    2015-01-01

    Accurate prediction of the functional impact of genetic variation is critical for clinical genome interpretation. We systematically characterized the transcriptome effects of protein-truncating variants (PTVs), a class of variants expected to have profound impacts on gene function, using data from the Genotype-Tissue Expression (GTEx) and Geuvadis projects. We quantitate tissue-specific and positional effects on nonsense-mediated transcript decay, and present an improved predictive model for this decay. We directly measure the impact of variants both proximal and distal to splice junctions. Furthermore, we find that robustness to heterozygous gene inactivation is not due to dosage compensation. Our results illustrate the value of transcriptome data in the functional interpretation of genetic variants. PMID:25954003

  16. Event-based cluster synchronization of coupled genetic regulatory networks

    Science.gov (United States)

    Yue, Dandan; Guan, Zhi-Hong; Li, Tao; Liao, Rui-Quan; Liu, Feng; Lai, Qiang

    2017-09-01

    In this paper, the cluster synchronization of coupled genetic regulatory networks with a directed topology is studied by using the event-based strategy and pinning control. An event-triggered condition with a threshold consisting of the neighbors' discrete states at their own event time instants and a state-independent exponential decay function is proposed. The intra-cluster states information and extra-cluster states information are involved in the threshold in different ways. By using the Lyapunov function approach and the theories of matrices and inequalities, we establish the cluster synchronization criterion. It is shown that both the avoidance of continuous transmission of information and the exclusion of the Zeno behavior are ensured under the presented triggering condition. Explicit conditions on the parameters in the threshold are obtained for synchronization. The stability criterion of a single GRN is also given under the reduced triggering condition. Numerical examples are provided to validate the theoretical results.

  17. Genetic variants of Anaplasma phagocytophilum from 14 equine granulocytic anaplasmosis cases

    Directory of Open Access Journals (Sweden)

    Pfister Kurt

    2011-08-01

    Full Text Available Abstract Background Equine Granulocytic Anaplasmosis (EGA is caused by Anaplasma phagocytophilum, a tick-transmitted, obligate intracellular bacterium. In Europe, it is transmitted by Ixodes ricinus. A large number of genetic variants of A. phagocytophilum circulate in nature and have been found in ticks and different animals. Attempts have been made to assign certain genetic variants to certain host species or pathologies, but have not been successful so far. The purpose of this study was to investigate the causing agent A. phagocytophilum of 14 cases of EGA in naturally infected horses with molecular methods on the basis of 4 partial genes (16S rRNA, groEL, msp2, and msp4. Results All DNA extracts of EDTA-blood samples of the horses gave bands of the correct nucleotide size in all four genotyping PCRs. Sequence analysis revealed 4 different variants in the partial 16S rRNA, groEL gene and msp2 genes, and 3 in the msp4 gene. One 16S rRNA gene variant involved in 11 of the 14 cases was identical to the "prototype" variant causing disease in humans in the amplified part [GenBank: U02521]. Phylogenetic analysis revealed as expected for the groEL gene that sequences from horses clustered separately from roe deer. Sequences of the partial msp2 gene from this study formed a separate cluster from ruminant variants in Europe and from all US variants. Conclusions The results show that more than one variant of A. phagocytophilum seems to be involved in EGA in Germany. The comparative genetic analysis of the variants involved points towards different natural cycles in the epidemiology of A. phagocytophilum, possibly involving different reservoir hosts or host adaptation, rather than a strict species separation.

  18. Genetic variants in epigenetic genes and breast cancer risk.

    Science.gov (United States)

    Cebrian, Arancha; Pharoah, Paul D; Ahmed, Shahana; Ropero, Santiago; Fraga, Mario F; Smith, Paula L; Conroy, Don; Luben, Robert; Perkins, Barbara; Easton, Douglas F; Dunning, Alison M; Esteller, Manel; Ponder, Bruce A J

    2006-08-01

    Epigenetic events, resulting changes in gene expression capacity, are important in tumour progression, and variation in genes involved in epigenetic mechanisms might therefore be important in cancer susceptibility. To evaluate this hypothesis, we examined common variants in 12 genes coding for DNA methyltransferases (DNMT), histone acetyltransferases, histone deacetyltransferases, histone methyltrasferases and methyl-CpG binding domain proteins, for association with breast cancer in a large case-control study (N cases = 4474 and N controls = 4580). We identified 63 single nucleotide polymorphisms (SNPs) that efficiently tag all the known common variants in these genes, and are also expected to tag any unknown SNP in each gene. We found some evidence for association for six SNPs: DNMT3b-c31721t [P (2 df) = 0.007], PRDM2-c99243 t [P (2 df) = 0.03] and t105413c [P-recessive = 0.05], EHMT1-g-9441a [P (2df) = 0.05] and g41451t (P-trend = 0.04), and EHMT2-S237S [P (2df) = 0.04]. The most significant result was for DNMT3b-c31721t (P-trend = 0.124 after adjusting for multiple testing). However, there were three other results with P variants in histone methyltransferases, and warrant the design of larger epidemiological and biochemical studies to establish the true meaning of these findings.

  19. Cis-regulatory variants affect CHRNA5 mRNA expression in populations of African and European ancestry.

    Directory of Open Access Journals (Sweden)

    Jen-Chyong Wang

    Full Text Available Variants within the gene cluster encoding α3, α5, and β4 nicotinic receptor subunits are major risk factors for substance dependence. The strongest impact on risk is associated with variation in the CHRNA5 gene, where at least two mechanisms are at work: amino acid variation and altered mRNA expression levels. The risk allele of the non-synonymous variant (rs16969968; D398N primarily occurs on the haplotype containing the low mRNA expression allele. In populations of European ancestry, there are approximately 50 highly correlated variants in the CHRNA5-CHRNA3-CHRNB4 gene cluster and the adjacent PSMA4 gene region that are associated with CHRNA5 mRNA levels. It is not clear which of these variants contribute to the changes in CHRNA5 transcript level. Because populations of African ancestry have reduced linkage disequilibrium among variants spanning this gene cluster, eQTL mapping in subjects of African ancestry could potentially aid in defining the functional variants that affect CHRNA5 mRNA levels. We performed quantitative allele specific gene expression using frontal cortices derived from 49 subjects of African ancestry and 111 subjects of European ancestry. This method measures allele-specific transcript levels in the same individual, which eliminates other biological variation that occurs when comparing expression levels between different samples. This analysis confirmed that substance dependence associated variants have a direct cis-regulatory effect on CHRNA5 transcript levels in human frontal cortices of African and European ancestry and identified 10 highly correlated variants, located in a 9 kb region, that are potential functional variants modifying CHRNA5 mRNA expression levels.

  20. Identification of Gender-Specific Genetic Variants in Patients With Bicuspid Aortic Valve.

    Science.gov (United States)

    Dargis, Natasha; Lamontagne, Maxime; Gaudreault, Nathalie; Sbarra, Laura; Henry, Cyndi; Pibarot, Philippe; Mathieu, Patrick; Bossé, Yohan

    2016-02-01

    Bicuspid aortic valve (BAV) is the most frequent congenital heart defect and has a male predominance of 3 to 1. A large proportion of patients develop valvular and aortic complications. Despite the high prevalence of BAV, its cause and genetic origins remain elusive. The goal of this study was to identify genetic variants associated with BAV. Nine genes previously associated with BAV (NOTCH1, AXIN1, EGFR, ENG, GATA5, NKX2-5, NOS3, PDIA2, and TGFBR2) were sequenced in 48 patients with BAV using the Ion Torrent Personal Genome Machine. Pathogenicity of genetic variants was evaluated with the Combined Annotation Dependent Depletion framework. A selection of 89 variants identified by sequencing or in previous BAV genetic studies was genotyped, and allele frequencies were compared in 323 patients with BAV confirmed at surgery and 584 controls. Analyses were also performed by gender. Nine novel and 19 potentially pathogenic variants were identified by next-generation sequencing and confirmed by Sanger sequencing, but they were not associated with BAV in the case-control population. A significant association was observed between an in silico-predicted benign EGFR intronic variant (rs17290301) and BAV. Analyses performed by gender revealed different variants associated with BAV in men (EGFR rs533525993 and TEX26 rs12857479) and women (NOTCH1 rs61751489, TGFBR2 rs1155705, and NKX2-5 rs2277923). In conclusion, these results constitute the first association between EGFR genetic variants and BAV in humans and support a possible role of gender-specific polymorphisms in the development of BAV.

  1. Genetic variants of innate immune receptors and infections after liver transplantation.

    Science.gov (United States)

    Sanclemente, Gemma; Moreno, Asuncion; Navasa, Miquel; Lozano, Francisco; Cervera, Carlos

    2014-08-28

    Infection is the leading cause of complication after liver transplantation, causing morbidity and mortality in the first months after surgery. Allograft rejection is mediated through adaptive immunological responses, and thus immunosuppressive therapy is necessary after transplantation. In this setting, the presence of genetic variants of innate immunity receptors may increase the risk of post-transplant infection, in comparison with patients carrying wild-type alleles. Numerous studies have investigated the role of genetic variants of innate immune receptors and the risk of complication after liver transplantation, but their results are discordant. Toll-like receptors and mannose-binding lectin are arguably the most important studied molecules; however, many other receptors could increase the risk of infection after transplantation. In this article, we review the published studies analyzing the impact of genetic variants in the innate immune system on the development of infectious complications after liver transplantation.

  2. Phosphodiesterase 4B genetic variants are not associated with antipsychotic-induced tardive dyskinesia.

    Science.gov (United States)

    Souza, Renan P; Remington, Gary; Meltzer, Herbert Y; Lieberman, Jeffrey A; Kennedy, James L; Wong, Albert H C

    2010-09-01

    Phosphodiesterase 4B (PDE4B) has been evaluated as a genetic risk factor for schizophrenia. Selective PDE4 inhibitor drugs have antipsychotic-like effects and reduce tardive dyskinesia-like movements in animal models. We investigated whether PDE4B genetic variants are associated with antipsychotic-induced tardive dyskinesia incidence and severity in schizophrenia patients. Our sample consisted of 169 Caucasian patients taking typical antipsychotic medication for at least 1 year. We found two PDE4B gene variants to be nominally associated with tardive dyskinesia (rs1338719 and rs7528545) in the overall population and two other variants nominally associated with the presence of tardive dyskinesia and severity in female patients (rs1890196 and rs783036). None of these results survived correction for multiple testing. Overall, our results do not support a genetic association between tardive dyskinesia and PDE4B.

  3. Genetic variants in diseases of the extrapyramidal system.

    Science.gov (United States)

    Oczkowska, Anna; Kozubski, Wojciech; Lianeri, Margarita; Dorszewska, Jolanta

    2014-02-01

    Knowledge on the genetics of movement disorders has advanced significantly in recent years. It is now recognized that disorders of the basal ganglia have genetic basis and it is suggested that molecular genetic data will provide clues to the pathophysiology of normal and abnormal motor control. Progress in molecular genetic studies, leading to the detection of genetic mutations and loci, has contributed to the understanding of mechanisms of neurodegeneration and has helped clarify the pathogenesis of some neurodegenerative diseases. Molecular studies have also found application in the diagnosis of neurodegenerative diseases, increasing the range of genetic counseling and enabling a more accurate diagno-sis. It seems that understanding pathogenic processes and the significant role of genetics has led to many experiments that may in the future will result in more effective treatment of such diseases as Parkinson's or Huntington's. Currently used molecular diagnostics based on DNA analysis can identify 9 neurodegenerative diseases, including spinal cerebellar ataxia inherited in an autosomal dominant manner, dentate-rubro-pallido-luysian atrophy, Friedreich's disease, ataxia with ocu-lomotorapraxia, Huntington's disease, dystonia type 1, Wilson's disease, and some cases of Parkinson's disease.

  4. Common Genetic Variants Found in HLA and KIR Immune Genes in Autism Spectrum Disorder

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    Anthony R Torres

    2016-10-01

    Full Text Available The common variant - common disease hypothesis was proposed to explain diseases with strong inheritance. This model suggests that a genetic disease is the result of the combination of several common genetic variants. Common genetic variants are described as a 5% frequency differential between diseased versus matched control populations. This theory was recently supported by an epidemiology paper stating that about 50% of genetic risk for autism resides in common variants. However, rare variants, rather than common variants, have been found in numerous genome wide genetic studies and many have concluded that the common variant—common disease hypothesis is incorrect. One interpretation is that rare variants are major contributors to genetic diseases and autism involves the interaction of many rare variants, especially in the brain. It is obvious there is much yet to be learned about autism genetics.Evidence has been mounting over the years indicating immune involvement in autism, particularly the HLA genes on chromosome 6 and KIR genes on chromosome 19. These two large multigene complexes have important immune functions and have been shown to interact to eliminate unwanted virally infected and malignant cells. HLA proteins have important functions in antigen presentation in adaptive immunity and specific epitopes on HLA class I proteins act as cognate ligands for KIR receptors in innate immunity. Data suggests that HLA alleles and KIR activating genes/haplotypes are common variants in different autism populations. For example, class I allele (HLA-A2 and HLA-G 14bp-indel frequencies are significantly increased by more than 5% over control populations (Table2. The HLA-DR4 Class II and shared epitope frequencies are significantly above the control populations (Table 2. Three activating KIR genes: 3DS1, 2DS1 and 2DS2 have increased frequencies of 15%, 22% and 14% in autism populations, respectively. There is a 6% increase in total activating KIR

  5. Whole exome sequencing identifies genetic variants in inherited thrombocytopenia with secondary qualitative function defects

    Science.gov (United States)

    Johnson, Ben; Lowe, Gillian C.; Futterer, Jane; Lordkipanidzé, Marie; MacDonald, David; Simpson, Michael A.; Sanchez-Guiú, Isabel; Drake, Sian; Bem, Danai; Leo, Vincenzo; Fletcher, Sarah J.; Dawood, Ban; Rivera, José; Allsup, David; Biss, Tina; Bolton-Maggs, Paula HB; Collins, Peter; Curry, Nicola; Grimley, Charlotte; James, Beki; Makris, Mike; Motwani, Jayashree; Pavord, Sue; Talks, Katherine; Thachil, Jecko; Wilde, Jonathan; Williams, Mike; Harrison, Paul; Gissen, Paul; Mundell, Stuart; Mumford, Andrew; Daly, Martina E.; Watson, Steve P.; Morgan, Neil V.

    2016-01-01

    Inherited thrombocytopenias are a heterogeneous group of disorders characterized by abnormally low platelet counts which can be associated with abnormal bleeding. Next-generation sequencing has previously been employed in these disorders for the confirmation of suspected genetic abnormalities, and more recently in the discovery of novel disease-causing genes. However its full potential has not yet been exploited. Over the past 6 years we have sequenced the exomes from 55 patients, including 37 index cases and 18 additional family members, all of whom were recruited to the UK Genotyping and Phenotyping of Platelets study. All patients had inherited or sustained thrombocytopenia of unknown etiology with platelet counts varying from 11×109/L to 186×109/L. Of the 51 patients phenotypically tested, 37 (73%), had an additional secondary qualitative platelet defect. Using whole exome sequencing analysis we have identified “pathogenic” or “likely pathogenic” variants in 46% (17/37) of our index patients with thrombocytopenia. In addition, we report variants of uncertain significance in 12 index cases, including novel candidate genetic variants in previously unreported genes in four index cases. These results demonstrate that whole exome sequencing is an efficient method for elucidating potential pathogenic genetic variants in inherited thrombocytopenia. Whole exome sequencing also has the added benefit of discovering potentially pathogenic genetic variants for further study in novel genes not previously implicated in inherited thrombocytopenia. PMID:27479822

  6. Negative-dominance phenomenon with genetic variants of the cardiac sodium channel Nav1.5.

    Science.gov (United States)

    Sottas, Valentin; Abriel, Hugues

    2016-07-01

    During the past two decades, many pathological genetic variants in SCN5A, the gene encoding the pore-forming subunit of the cardiac (monomeric) sodium channel Na(v)1.5, have been described. Negative dominance is a classical genetic concept involving a "poison" mutant peptide that negatively interferes with the co-expressed wild-type protein, thus reducing its cellular function. This phenomenon has been described for genetic variants of multimeric K(+) channels, which mechanisms are well understood. Unexpectedly, several pathologic SCN5A variants that are linked to Brugada syndrome also demonstrate such a dominant-negative (DN) effect. The molecular determinants of these observations, however, are not yet elucidated. This review article summarizes recent findings that describe the mechanisms underlying the DN phenomenon of genetic variants of K(+), Ca(2+), Cl(-) and Na(+) channels, and in particular Brugada syndrome variants of Na(v)1.5. This article is part of a Special Issue entitled: Cardiomyocyte Biology: Integration of Developmental and Environmental Cues in the Heart edited by Marcus Schaub and Hughes Abriel.

  7. Crohn’s Disease Localization Displays Different Predisposing Genetic Variants

    Science.gov (United States)

    Bossa, Fabrizio; Valvano, Maria Rosa; Corritore, Giuseppe; Latiano, Tiziana; Martino, Giuseppina; D’Incà, Renata; Cucchiara, Salvatore; Pastore, Maria; D’Altilia, Mario; Scimeca, Daniela; Biscaglia, Giuseppe; Andriulli, Angelo; Latiano, Anna

    2017-01-01

    Background Crohn’s disease (CD) is a pathologic condition with different clinical expressions that may reflect an interplay between genetics and environmental factors. Recently, it has been highlighted that three genetic markers, NOD2, MHC and MST1, were associated to distinct CD sites, supporting the concept that genetic variations may contribute to localize CD. Genetic markers, previously shown to be associated with inflammatory bowel disease (IBD), were tested in CD patients with the aim to better dissect the genetic relationship between ileal, ileocolonic and colonic CD and ascertain whether a different genetic background would support the three disease sites as independent entities. Methods A panel of 29 SNPs of 19 IBD loci were analyzed by TaqMan SNP allelic discrimination method both evaluating their distinct contribute and analyzing all markers jointly. Results Seven hundred and eight CD patients and 537 healthy controls were included in the study. Of the overall population of patients, 237 patients had an ileal involvement (L1), 171 a colonic localization (L2), and the 300 remaining an ileocolon location (L3). We confirmed the association for 23 of 29 variations (P < 0.05). Compared to healthy controls, 16 variations emerged as associated to an ileum disease, 7 with a colonic disease and 14 with an ileocolonic site (P < 0.05). Comparing ileum to colonic CD, 5 SNPs (17%) were differentially associated (P < 0.05). A genetic model score that aggregated the risks of 23 SNPs and their odds ratios (ORs), yielded an Area Under the Curve (AUC) of 0.70 for the overall CD patients. By analyzing each CD location, the AUC remained at the same level for the ileal and ileocolonic sites (0.73 and 0.72, respectively), but dropped to a 0,66 value in patients with colon localization. Conclusions Our findings reaffirm the existence of at least three different subgroups of CD patients, with a genetic signature distinctive for the three main CD sites. PMID:28052082

  8. Novel genetic risk variants for pediatric celiac disease.

    Science.gov (United States)

    Balasopoulou, Angeliki; Stanković, Biljana; Panagiotara, Angeliki; Nikčevic, Gordana; Peters, Brock A; John, Anne; Mendrinou, Effrosyni; Stratopoulos, Apostolos; Legaki, Aigli Ioanna; Stathakopoulou, Vasiliki; Tsolia, Aristoniki; Govaris, Nikolaos; Govari, Sofia; Zagoriti, Zoi; Poulas, Konstantinos; Kanariou, Maria; Constantinidou, Nikki; Krini, Maro; Spanou, Kleopatra; Radlovic, Nedeljko; Ali, Bassam R; Borg, Joseph; Drmanac, Radoje; Chrousos, George; Pavlovic, Sonja; Roma, Eleftheria; Zukic, Branka; Patrinos, George P; Katsila, Theodora

    2016-10-24

    Celiac disease is a complex chronic immune-mediated disorder of the small intestine. Today, the pathobiology of the disease is unclear, perplexing differential diagnosis, patient stratification, and decision-making in the clinic. Herein, we adopted a next-generation sequencing approach in a celiac disease trio of Greek descent to identify all genomic variants with the potential of celiac disease predisposition. Analysis revealed six genomic variants of prime interest: SLC9A4 c.1919G>A, KIAA1109 c.2933T>C and c.4268_4269delCCinsTA, HoxB6 c.668C>A, HoxD12 c.418G>A, and NCK2 c.745_746delAAinsG, from which NCK2 c.745_746delAAinsG is novel. Data validation in pediatric celiac disease patients of Greek (n = 109) and Serbian (n = 73) descent and their healthy counterparts (n = 111 and n = 32, respectively) indicated that HoxD12 c.418G>A is more prevalent in celiac disease patients in the Serbian population (P celiac disease patients rather than healthy individuals of Greek descent (P = 0.03). SLC9A4 c.1919G>A and KIAA1109 c.2933T>C and c.4268_4269delCCinsTA were more abundant in patients; nevertheless, they failed to show statistical significance. The next-generation sequencing-based family genomics approach described herein may serve as a paradigm towards the identification of novel functional variants with the aim of understanding complex disease pathobiology.

  9. The role of genetic variants in human longevity.

    Science.gov (United States)

    Chung, Wen-Hung; Dao, Ro-Lan; Chen, Liang-Kung; Hung, Shuen-Iu

    2010-11-01

    Human longevity is a complex phenotype with a strong genetic predisposition. Increasing evidence has revealed the genetic antecedents of human longevity. This article aims to review the data of various case/control association studies that examine the difference in genetic polymorphisms between long-lived people and younger subjects across different human populations. There are more than 100 candidate genes potentially involved in human longevity; this article particularly focuses on genes of the insulin/IGF-1 pathway, FOXO3A, FOXO1A, lipoprotein metabolism (e.g., APOE and PON1), and cell-cycle regulators (e.g., TP53 and P21). Since the confirmed genetic components for human longevity are few to date, further precise assessment of the genetic contributions is required. Gaining a better understanding of the contribution of genetics to human longevity may assist in the design of improved treatment methods for age-related diseases, delay the aging process, and, ultimately, prolong the human lifespan.

  10. Critical dynamics in genetic regulatory networks: examples from four kingdoms.

    Science.gov (United States)

    Balleza, Enrique; Alvarez-Buylla, Elena R; Chaos, Alvaro; Kauffman, Stuart; Shmulevich, Ilya; Aldana, Maximino

    2008-06-18

    The coordinated expression of the different genes in an organism is essential to sustain functionality under the random external perturbations to which the organism might be subjected. To cope with such external variability, the global dynamics of the genetic network must possess two central properties. (a) It must be robust enough as to guarantee stability under a broad range of external conditions, and (b) it must be flexible enough to recognize and integrate specific external signals that may help the organism to change and adapt to different environments. This compromise between robustness and adaptability has been observed in dynamical systems operating at the brink of a phase transition between order and chaos. Such systems are termed critical. Thus, criticality, a precise, measurable, and well characterized property of dynamical systems, makes it possible for robustness and adaptability to coexist in living organisms. In this work we investigate the dynamical properties of the gene transcription networks reported for S. cerevisiae, E. coli, and B. subtilis, as well as the network of segment polarity genes of D. melanogaster, and the network of flower development of A. thaliana. We use hundreds of microarray experiments to infer the nature of the regulatory interactions among genes, and implement these data into the Boolean models of the genetic networks. Our results show that, to the best of the current experimental data available, the five networks under study indeed operate close to criticality. The generality of this result suggests that criticality at the genetic level might constitute a fundamental evolutionary mechanism that generates the great diversity of dynamically robust living forms that we observe around us.

  11. Variants of Interferon Regulatory Factor 5 are Associated with Neither Neuromyelitis Optica Nor Multiple Sclerosis in the Southeastern Han Chinese Population

    Institute of Scientific and Technical Information of China (English)

    Qi-Bing Liu; Lei Wu; Gui-Xian Zhao; Ping-Ping Cai; Zhen-Xin Li; Zhi-Ying Wu

    2015-01-01

    Background:Neuromyelitis optica (NMO) and multiple sclerosis (MS) are demyelinating disorders of the central nervous system.Interferon regulatory factor 5 (IRF5) is a common susceptibility gene to different autoimmune disorders.However,the association of IRF5 variants with NMO and MS patients has not been well studied.Therefore,we aimed to evaluate whether IRF5 variants were associated with NMO and MS in the Southeastern Han Chinese population.Methods:Four single nucleotide polymorphisms (SNPs) were selected and genotyped by matrix-assisted laser desorption/ionization time of flight mass spectrometry in 111 NMO patients,145 MS patients and 300 controls from Southeastern China.Results:None of these 4 SNPs was associated with NMO or MS patients.Conclusions:Our preliminary study indicates that genetic variants in IRF5 may affect neither NMO nor MS in the Southeastern Han Chinese population.Further studies with a large sample size and diverse ancestry populations are needed to clarify this issue.

  12. Genetic variants in promoters and coding regions of the muscle glycogen synthase and the insulin-responsive GLUT4 genes in NIDDM

    DEFF Research Database (Denmark)

    Bjørbaek, C; Echwald, Søren Morgenthaler; Hubricht, P

    1994-01-01

    regions and regions of importance for translation, as well as coding sequences of the two genes, were studied using single-strand conformation polymorphism (SSCP) analysis and DNA sequencing. The genetic analyses were performed in subgroups of 52 Caucasian NIDDM patients and 25 age-matched healthy......To examine the hypothesis that variants in the regulatory or coding regions of the glycogen synthase (GS) and insulin-responsive glucose transporter (GLUT4) genes contribute to insulin-resistant glucose processing of muscle from non-insulin-dependent diabetes mellitus (NIDDM) patients, promoter......'-untranslated region, and the coding region of the GLUT4 gene showed four polymorphisms, all single nucleotide substitutions, positioned at -581, 1, 30, and 582. None of the three changes in the regulatory region of the gene had any major influence on expression of the GLUT4 gene in muscle. The variant at 582...

  13. Genetic analysis of long-lived families reveals novel variants influencing high density-lipoprotein cholesterol

    DEFF Research Database (Denmark)

    Feitosa, Mary F; Wojczynski, Mary K; Straka, Robert

    2014-01-01

    into biological regulation of HDL metabolism in healthy-longevous subjects. We performed a genome-wide association (GWA) scan on HDL using a mixed model approach to account for family structure using kinship coefficients. A total of 4114 subjects of European descent (480 families) were genotyped at ~2.3 million......23.3) variants associated with HDL were found, replicating those previously reported in the literature. A possible regulatory variant upstream of NLRP1 that is associated with HDL in these elderly Long Life Family Study (LLFS) subjects may also contribute to their longevity and health. Our NLRP1...

  14. Identification of genetic variants associated with maize flowering time using an extremely large multi-genetic background population

    Science.gov (United States)

    Flowering time is one of the major adaptive traits in domestication of maize and an important selection criterion in breeding. To detect more maize flowering time variants we evaluated flowering time traits using an extremely large multi- genetic background population that contained more than 8000 l...

  15. Sensitivity Analyses for Robust Causal Inference from Mendelian Randomization Analyses with Multiple Genetic Variants

    Science.gov (United States)

    Bowden, Jack; Fall, Tove; Ingelsson, Erik; Thompson, Simon G.

    2017-01-01

    Mendelian randomization investigations are becoming more powerful and simpler to perform, due to the increasing size and coverage of genome-wide association studies and the increasing availability of summarized data on genetic associations with risk factors and disease outcomes. However, when using multiple genetic variants from different gene regions in a Mendelian randomization analysis, it is highly implausible that all the genetic variants satisfy the instrumental variable assumptions. This means that a simple instrumental variable analysis alone should not be relied on to give a causal conclusion. In this article, we discuss a range of sensitivity analyses that will either support or question the validity of causal inference from a Mendelian randomization analysis with multiple genetic variants. We focus on sensitivity analyses of greatest practical relevance for ensuring robust causal inferences, and those that can be undertaken using summarized data. Aside from cases in which the justification of the instrumental variable assumptions is supported by strong biological understanding, a Mendelian randomization analysis in which no assessment of the robustness of the findings to violations of the instrumental variable assumptions has been made should be viewed as speculative and incomplete. In particular, Mendelian randomization investigations with large numbers of genetic variants without such sensitivity analyses should be treated with skepticism. PMID:27749700

  16. Gender-Specific Associations between CHGB Genetic Variants and Schizophrenia in a Korean Population.

    Science.gov (United States)

    Shin, Joong Gon; Kim, Jeong Hyun; Park, Chul Soo; Kim, Bong Jo; Kim, Jae Won; Choi, Ihn Geun; Hwang, Jaeuk; Shin, Hyoung Doo; Woo, Sung Il

    2017-05-01

    Schizophrenia is a devastating mental disorder and is known to be affected by genetic factors. The chromogranin B (CHGB), a member of the chromogranin gene family, has been proposed as a candidate gene associated with the risk of schizophrenia. The secretory pathway for peptide hormones and neuropeptides in the brain is regulated by chromogranin proteins. The aim of this study was to investigate the potential associations between genetic variants of CHGB and schizophrenia susceptibility. In the current study, 15 single nucleotide polymorphisms of CHGB were genotyped in 310 schizophrenia patients and 604 healthy controls. Statistical analysis revealed that two genetic variants (non-synonymous rs910122; rs2821 in 3'-untranslated region) were associated with schizophrenia [minimum p=0.002; odds ratio (OR)=0.72], even after correction for multiple testing (p(corr)=0.02). Since schizophrenia is known to be differentially expressed between sexes, additional analysis for sex was performed. As a result, these two genetic variants (rs910122 and rs2821) and a haplotype (ht3) showed significant associations with schizophrenia in male subjects (p(corr)=0.02; OR=0.64), whereas the significance disappeared in female subjects (p>0.05). Although this study has limitations including a small number of samples and lack of functional study, our results suggest that genetic variants of CHGB may have sex-specific effects on the risk of schizophrenia and provide useful preliminary information for further study.

  17. Pleiotropic meta-analyses of longitudinal studies discover novel genetic variants associated with age-related diseases

    Directory of Open Access Journals (Sweden)

    Liang He

    2016-10-01

    Full Text Available Age-related diseases may result from shared biological mechanisms in intrinsic processes of aging. Genetic effects on age-related diseases are often modulated by environmental factors due to their little contribution to fitness or are mediated through certain endophenotypes. Identification of genetic variants with pleiotropic effects on both common complex diseases and endophenotypes may reveal potential conflicting evolutionary pressures and deliver new insights into shared genetic contribution to healthspan and lifespan. Here, we performed pleiotropic meta-analyses of genetic variants using five NIH-funded datasets by integrating univariate summary statistics for age-related diseases and endophenotypes. We investigated three groups of traits: (1 endophenotypes such as blood glucose, blood pressure, lipids, hematocrit, and body mass index, (2 time-to-event outcomes such as the age-at-onset of diabetes mellitus (DM, cancer, cardiovascular diseases (CVDs and neurodegenerative diseases (NDs, and (3 both combined. In addition to replicating previous findings, we identify seven novel genome-wide significant loci (<5e-08, out of which five are low-frequency variants. Specifically, from Group 2, we find rs7632505 on 3q21.1 in SEMA5B, rs460976 on 21q22.3 (1kb from TMPRSS2 and rs12420422 on 11q24.1 predominantly associated with a variety of CVDs, rs4905014 in ITPK1 associated with stroke and heart failure, rs7081476 on 10p12.1 in ANKRD26 associated with multiple diseases including DM, CVDs and NDs. From Group 3, we find rs8082812 on 18p11.22 and rs1869717 on 4q31.3 associated with both endophenotypes and CVDs. Our follow-up analyses show that rs7632505, rs4905014 and rs8082812 have age-dependent effects on coronary heart disease or stroke. Functional annotation suggests that most of these SNPs are within regulatory regions or DNase clusters and in linkage disequilibrium with expression quantitative trait loci, implying their potential regulatory

  18. Community acquired pneumonia: genetic variants influencing systemic inflammation.

    Science.gov (United States)

    Ferrer Agüero, J M; Millán, S; Rodríguez de Castro, F; Martín-Loeches, I; Solé Violán, J

    2014-01-01

    The inflammatory response depends on several factors, including pathogenicity and duration of the stimulus, and also on the balance between inflammatory and antiinflammatory response. Several studies have presented evidence of the importance of genetic factors in severe infections. The innate immune response prevents the invasion and spread of pathogens during the first hours after infection. Each of the different processes involved in innate immunity may be affected by genetic polymorphisms, which can result in susceptibility or resistance to infection. The results obtained in the different studies do not irrefutably prove the role or function of a gene in the pathogenesis of respiratory infections. However, they can generate new hypotheses, suggest new candidate genes based on their role in the inflammatory response, and constitute a first step in understanding the underlying genetic factors. Copyright © 2013 Elsevier España, S.L. and SEMICYUC. All rights reserved.

  19. Inherited variants in regulatory T cell genes and outcome of ovarian cancer.

    Directory of Open Access Journals (Sweden)

    Ellen L Goode

    Full Text Available Although ovarian cancer is the most lethal of gynecologic malignancies, wide variation in outcome following conventional therapy continues to exist. The presence of tumor-infiltrating regulatory T cells (Tregs has a role in outcome of this disease, and a growing body of data supports the existence of inherited prognostic factors. However, the role of inherited variants in genes encoding Treg-related immune molecules has not been fully explored. We analyzed expression quantitative trait loci (eQTL and sequence-based tagging single nucleotide polymorphisms (tagSNPs for 54 genes associated with Tregs in 3,662 invasive ovarian cancer cases. With adjustment for known prognostic factors, suggestive results were observed among rarer histological subtypes; poorer survival was associated with minor alleles at SNPs in RGS1 (clear cell, rs10921202, p=2.7×10(-5, LRRC32 and TNFRSF18/TNFRSF4 (mucinous, rs3781699, p=4.5×10(-4, and rs3753348, p=9.0×10(-4, respectively, and CD80 (endometrioid, rs13071247, p=8.0×10(-4. Fo0r the latter, correlative data support a CD80 rs13071247 genotype association with CD80 tumor RNA expression (p=0.006. An additional eQTL SNP in CD80 was associated with shorter survival (rs7804190, p=8.1×10(-4 among all cases combined. As the products of these genes are known to affect induction, trafficking, or immunosuppressive function of Tregs, these results suggest the need for follow-up phenotypic studies.

  20. Are all the previously reported genetic variants in limb girdle muscular dystrophy genes pathogenic?

    Science.gov (United States)

    Di Fruscio, Giuseppina; Garofalo, Arcomaria; Mutarelli, Margherita; Savarese, Marco; Nigro, Vincenzo

    2016-01-01

    Hundreds of variants in autosomal genes associated with the limb girdle muscular dystrophies (LGMDs) have been reported as being causative. However, in most cases the proof of pathogenicity derives from their non-occurrence in hundreds of healthy controls and/or from segregation studies in small families. The limited statistics of the genetic variations in the general population may hamper a correct interpretation of the effect of variants on the protein. To clarify the meaning of low-frequency variants in LGMD genes, we have selected all variants described as causative in the Leiden Open Variation Database and the Human Gene Mutation Database. We have systematically searched for their frequency in the NHLBI GO Exome Sequencing Project (ESP) and in our internal database. Surprisingly, the ESP contains about 4% of the variants previously associated with a dominant inheritance and about 9% of those associated with a recessive inheritance. The putative disease alleles are much more frequent than those estimated considering the disease prevalence. In conclusion, we hypothesize that a number of disease-associated variants are non-pathogenic and that other variations are not fully penetrant, even if they affect the protein function, suggesting a more complex genetic mechanisms for such heterogeneous disorders.

  1. Telomere length, genetic variants and gastric cancer risk in a Chinese population.

    Science.gov (United States)

    Du, Jiangbo; Zhu, Xun; Xie, Cuiwei; Dai, Ningbin; Gu, Yayun; Zhu, Meng; Wang, Cheng; Gao, Yong; Pan, Feng; Ren, Chuanli; Ji, Yong; Dai, Juncheng; Ma, Hongxia; Jiang, Yue; Chen, Jiaping; Yi, Honggang; Zhao, Yang; Hu, Zhibin; Shen, Hongbing; Jin, Guangfu

    2015-09-01

    Telomeres maintain chromosomal stability and integrity and are crucial in carcinogenesis. Telomere length is implicated in multiple cancer risk, but the results are conflicting. Genome-wide association studies have identified several genetic loci associated with telomere length in Caucasians. However, the roles of telomere length and related variants on gastric cancer development are largely unknown. We conducted a case-control study including 1136 gastric cancer cases and 1012 controls to evaluate the associations between telomere length, eight telomere length-related variants identified in Caucasians and gastric cancer risk in Chinese population. We observed an obvious U-shaped association between telomere length and gastric cancer risk (P telomere length (P telomeres (P = 0.047). However, we did not observe significant associations between these genetic variants and gastric cancer risk for both single-variant and WGS analyses. These findings suggest that either short or extreme long telomeres may be risk factor for gastric cancer. Genetic variants identified in Caucasians may also contribute to the variation of telomere length in Chinese but seems not to gastric cancer susceptibility.

  2. Common genetic variants influence human subcortical brain structures

    NARCIS (Netherlands)

    Hibar, Derrek P.; Stein, Jason L.; Renteria, Miguel E.; Arias-Vasquez, Alejandro; Desrivieres, Sylvane; Jahanshad, Neda; Toro, Roberto; Wittfeld, Katharina; Abramovic, Lucija; Andersson, Micael; Aribisala, Benjamin S.; Armstrong, Nicola J.; Bernard, Manon; Bohlken, Marc M.; Boks, Marco P.; Bralten, Janita; Brown, Andrew A.; Chakravarty, M. Mallar; Chen, Qiang; Ching, Christopher R. K.; Cuellar-Partida, Gabriel; den Braber, Anouk; Giddaluru, Sudheer; Goldman, Aaron L.; Grimm, Oliver; Guadalupe, Tulio; Hass, Johanna; Woldehawariat, Girma; Holmes, Avram J.; Hoogman, Martine; Janowitz, Deborah; Jia, Tianye; Kim, Sungeun; Klein, Marieke; Kraemer, Bernd; Lee, Phil H.; Loohuis, Loes M. Olde; Luciano, Michelle; Macare, Christine; Mather, Karen A.; Mattheisen, Manuel; Milaneschi, Yuri; Nho, Kwangsik; Papmeyer, Martina; Ramasamy, Adaikalavan; Risacher, Shannon L.; Roiz-Santianez, Roberto; Rose, Emma J.; Salami, Alireza; Saemann, Philipp G.; Schmaal, Lianne; Schork, Andrew J.; Shin, Jean; Strike, Lachlan T.; Teumer, Alexander; van Donkelaar, Marjolein M. J.; van Eijk, Kristel R.; Walters, Raymond K.; Westlye, Lars T.; Whelan, Christopher D.; Winkler, Anderson M.; Zwiers, Marcel P.; Alhusaini, Saud; Athanasiu, Lavinia; Ehrlich, Stefan; Hakobjan, Marina M. H.; Hartberg, Cecilie B.; Haukvik, Unn K.; Heister, Angelien J. G. A. M.; Hoehn, David; Kasperaviciute, Dalia; Liewald, David C. M.; Lopez, Lorna M.; Makkinje, Remco R. R.; Matarin, Mar; Naber, Marlies A. M.; McKay, D. Reese; Needham, Margaret; Nugent, Allison C.; Puetz, Benno; Royle, Natalie A.; Shen, Li; Sprooten, Emma; Trabzuni, Daniah; van der Marel, Saskia S. L.; van Hulzen, Kimm J. E.; Walton, Esther; Wolf, Christiane; Almasy, Laura; Ames, David; Arepalli, Sampath; Assareh, Amelia A.; Bastin, Mark E.; Brodaty, Henry; Bulayeva, Kazima B.; Carless, Melanie A.; Cichon, Sven; Corvin, Aiden; Curran, Joanne E.; Czisch, Michael; de Zubicaray, Greig I.; Dillman, Allissa; Duggirala, Ravi; Dyer, Thomas D.; Erk, Susanne; Fedko, Iryna O.; Ferrucci, Luigi; Foroud, Tatiana M.; Fox, Peter T.; Fukunaga, Masaki; Gibbs, J. Raphael; Goering, Harald H. H.; Green, Robert C.; Guelfi, Sebastian; Hansell, Narelle K.; Hartman, Catharina A.; Hegenscheid, Katrin; Heinz, Andreas; Hernandez, Dena G.; Heslenfeld, Dirk J.; Hoekstra, Pieter J.; Holsboer, Florian; Homuth, Georg; Hottenga, Jouke-Jan; Ikeda, Masashi; Jack, Clifford R.; Jenkinson, Mark; Johnson, Robert; Kanai, Ryota; Keil, Maria; Kent, Jack W.; Kochunov, Peter; Kwok, John B.; Lawrie, Stephen M.; Liu, Xinmin; Longo, Dan L.; McMahon, Katie L.; Meisenzah, Eva; Melle, Ingrid; Mahnke, Sebastian; Montgomery, Grant W.; Mostert, Jeanette C.; Muehleisen, Thomas W.; Nalls, Michael A.; Nichols, Thomas E.; Nilsson, Lars G.; Noethen, Markus M.; Ohi, Kazutaka; Olvera, Rene L.; Perez-Iglesias, Rocio; Pike, G. Bruce; Potkin, Steven G.; Reinvang, Ivar; Reppermund, Simone; Rietschel, Marcella; Romanczuk-Seiferth, Nina; Rosen, Glenn D.; Rujescu, Dan; Schnell, Knut; Schofield, Peter R.; Smith, Colin; Steen, Vidar M.; Sussmann, Jessika E.; Thalamuthu, Anbupalam; Toga, Arthur W.; Traynor, Bryan J.; Troncoso, Juan; Turner, Jessica A.; Valdes Hernandez, Maria C.; van't Ent, Dennis; van der Brug, Marcel; van der Wee, Nic J. A.; van Tol, Marie-Jose; Veltman, Dick J.; Wassink, Thomas H.; Westman, Eric; Zielke, Ronald H.; Zonderman, Alan B.; Ashbrook, David G.; Hager, Reinmar; Lu, Lu; McMahon, Francis J.; Morris, Derek W.; Williams, Robert W.; Brunner, Han G.; Buckner, Randy L.; Buitelaar, Jan K.; Cahn, Wiepke; Calhoun, Vince D.; Cavalleri, Gianpiero L.; Crespo-Facorro, Benedicto; Dale, Anders M.; Davies, Gareth E.; Delanty, Norman; Depondt, Chantal; Djurovic, Srdjan; Drevets, Wayne C.; Espeseth, Thomas; Gollub, Randy L.; Ho, Beng-Choon; Hoffman, Wolfgang; Hosten, Norbert; Kahn, Rene S.; Le Hellard, Stephanie; Meyer-Lindenberg, Andreas; Mueller-Myhsok, Bertram; Nauck, Matthias; Nyberg, Lars; Pandolfo, Massimo; Penninx, Brenda W. J. H.; Roffman, Joshua L.; Sisodiya, Sanjay M.; Smoller, Jordan W.; van Bokhoven, Hans; van Haren, Neeltje E. M.; Voelzke, Henry; Walter, Henrik; Weiner, Michael W.; Wen, Wei; White, Tonya; Agartz, Ingrid; Andreassen, Ole A.; Blangero, John; Boomsma, Dorret I.; Brouwer, Rachel M.; Cannon, Dara M.; Cookson, Mark R.; de Geus, Eco J. C.; Deary, Ian J.; Donohoe, Gary; Fernandez, Guillen; Fisher, Simon E.; Francks, Clyde; Glahn, David C.; Grabe, Hans J.; Gruber, Oliver; Hardy, John; Hashimoto, Ryota; Pol, Hilleke E. Hulshoff; Joensson, Erik G.; Kloszewska, Iwona; Lovestone, Simon; Mattay, Venkata S.; Mecocci, Patrizia; McDonald, Colm; McIntosh, Andrew M.; Ophoff, Roel A.; Paus, Tomas; Pausova, Zdenka; Ryten, Mina; Sachdev, Perminder S.; Saykin, Andrew J.; Simmons, Andy; Singleton, Andrew; Soininen, Hilkka; Wardlaw, Joanna M.; Weale, Michael E.; Weinberger, Daniel R.; Adams, Hieab H. H.; Launer, Lenore J.; Seiler, Stephan; Schmidt, Reinhold; Chauhan, Ganesh; Satizabal, Claudia L.; Becker, James T.; Yanek, Lisa; van der Lee, Sven J.; Ebling, Maritza; Fischl, Bruce; Longstreth, W. T.; Greve, Douglas; Schmidt, Helena; Nyquist, Paul; Vinke, Louis N.; van Duijn, Cornelia M.; Xue, Luting; Mazoyer, Bernard; Bis, Joshua C.; Gudnason, Vilmundur; Seshadri, Sudha; Ikram, M. Arfan; Martin, Nicholas G.; Wright, Margaret J.; Schumann, Gunter; Franke, Barbara; Thompson, Paul M.; Medland, Sarah E.

    2015-01-01

    The highly complex structure of the human brain is strongly shaped by genetic influences(1). Subcortical brain regions form circuits with cortical areas to coordinate movement(2), learning, memory(3) and motivation(4), and altered circuits can lead to abnormal behaviour and disease(5). To investigat

  3. The ARVD/C Genetic Variants Database : 2014 Update

    NARCIS (Netherlands)

    Lazzarini, Elisabetta; Jongbloed, Jan D. H.; Pilichou, Kalliopi; Thiene, Gaetano; Basso, Cristina; Bikker, Hennie; Charbon, Bart; Swertz, Morris; van Tintelen, J. Peter; van der Zwaag, Paul A.

    2015-01-01

    Arrhythmogenic cardiomyopathy (ACM) is an inherited cardiac disease characterized by myocardial atrophy, fibro-fatty replacement, and a high risk of ventricular arrhythmias that lead to sudden death. In 2009, genetic data from 57 publications were collected in the arrhythmogenic right ventricular dy

  4. Genetic variants in RBFOX3 are associated with sleep latency

    NARCIS (Netherlands)

    Amin, Najaf; Allebrandt, Karla V.; van der Spek, Ashley; Mueller-Myhsok, Bertram; Hek, Karin; Teder-Laving, Maris; Hayward, Caroline; Esko, Tonu; van Mill, Josine G.; Mbarek, Hamdi; Watson, Nathaniel F.; Melville, Scott A.; Del Greco, Fabiola M.; Byrne, Enda M.; Oole, Edwin; Kolcic, Ivana; Chen, Ting-hsu; Evans, Daniel S.; Coresh, Josef; Vogelzangs, Nicole; Karjalainen, Juha; Willemsen, Gonneke; Gharib, Sina A.; Zgaga, Lina; Mihailov, Evelin; Stone, Katie L.; Campbell, Harry; Brouwer, Rutger Ww; Demirkan, Ayse; Isaacs, Aaron; Dogas, Zoran; Marciante, Kristin D.; Campbell, Susan; Borovecki, Fran; Luik, Annemarie I.; Li, Man; Hottenga, Jouke Jan; Huffman, Jennifer E.; van den Hout, Mirjam C. G. N.; Cummings, Steven R.; Aulchenko, Yuru S.; Gehrman, Philip R.; Uitterlinden, Andre G.; Wichmann, Heinz-Erich; Muller-Nurasyid, Martina; Fehrmann, Rudolf S. N.; Montgomery, Grant W.; Hofman, Albert; Kao, Wen Hong Linda; Oostra, Ben A.; Wright, Alan F.; Vink, Jacqueline M.; Wilson, James F.; Pramstaller, Peter P.; Hicks, Andrew A.; Polasek, Ozren; Punjabi, Naresh M.; Redline, Susan; Psaty, Bruce M.; Heath, Andrew C.; Merrow, Martha; Tranah, Gregory J.; Gottlieb, Daniel J.; Boomsma, Dorret I.; Martin, Nicholas G.; Rudan, Igor; Tiemeier, Henning; van IJcken, Wilfred F. J.; Penninx, Brenda W.; Metspalu, Andres; Meitinger, Thomas; Franke, Lude; Roenneberg, Till; van Duijn, Cornelia M.

    2016-01-01

    Time to fall asleep (sleep latency) is a major determinant of sleep quality. Chronic, long sleep latency is a major characteristic of sleep-onset insomnia and/or delayed sleep phase syndrome. In this study we aimed to discover common polymorphisms that contribute to the genetics of sleep latency. We

  5. Genetic variants in RBFOX3 are associated with sleep latency

    NARCIS (Netherlands)

    N. Amin (Najaf); K.V. Allebrandt; A. van der Spek (Ashley); B. Müller-Myhsok (B.); K. Hek (Karin); M. Teder-Laving (Maris); C. Hayward (Caroline); T. Esko (Tõnu); J. van Mill; H. Mbarek; N.F. Watson (Nathaniel F); S.A. Melville (Scott); F.M. Del Greco (Fabiola); E.M. Byrne (Enda); E. Oole (Edwin); I. Kolcic (Ivana); T.H. Chen; D.S. Evans (Daniel); J. Coresh (Josef); N. Vogelzangs (Nicole); J. Karjalainen (Juha); G.A.H.M. Willemsen (Gonneke); S.A. Gharib (Sina); L. Zgaga (Lina); E. Mihailov (Evelin); K.L. Stone (Katie L); H. Campbell (Harry); R.W.W. Brouwer (Rutger); A. Demirkan (Ayşe); A.J. Isaacs (Aaron); Z. Dogas; K. Marciante (Kristin); S. Campbell (Susan); F. Borovecki (Fran); A.I. Luik (Annemarie I); M. Li (Man); J.J. Hottenga (Jouke Jan); J.E. Huffman (Jennifer); M.C.G.N. van den hout (Mirjam); S.R. Cummings (Steven R.); Y.S. Aulchenko (Yurii); P.R. Gehrman (Philip); A.G. Uitterlinden (André); H.E. Wichmann (Heinz Erich); M. Müller-Nurasyid (Martina); R.S.N. Fehrmann (Rudolf); G.W. Montgomery (Grant); A. Hofman (Albert); W.H.L. Kao (Wen Hong Linda); B.A. Oostra (Ben); A. Wright (Alan); J.M. Vink (Jacqueline); J.F. Wilson (James F); P.P. Pramstaller (Peter Paul); A.A. Hicks (Andrew); O. Polasek (Ozren); N.M. Punjabi (Naresh); S. Redline (Susan); B.M. Psaty (Bruce); A.C. Heath (Andrew C.); M. Merrow; G.J. Tranah (Gregory); D.J. Gottlieb (Daniel J); D.I. Boomsma (Dorret); N.G. Martin (Nicholas); I. Rudan (Igor); H.W. Tiemeier (Henning); W.F.J. van IJcken (Wilfred); B.W.J.H. Penninx; A. Metspalu (Andres); T. Meitinger (Thomas); L. Franke (Lude); T. Roenneberg; C.M. van Duijn (Cock)

    2016-01-01

    textabstractTime to fall asleep (sleep latency) is a major determinant of sleep quality. Chronic, long sleep latency is a major characteristic of sleep-onset insomnia and/or delayed sleep phase syndrome. In this study we aimed to discover common polymorphisms that contribute to the genetics of sleep

  6. Common genetic variants influence human subcortical brain structures

    NARCIS (Netherlands)

    D.P. Hibar (Derrek); J.L. Stein; M.E. Rentería (Miguel); A. Arias-Vásquez (Alejandro); S. Desrivières (Sylvane); N. Jahanshad (Neda); R. Toro (Roberto); K. Wittfeld (Katharina); L. Abramovic (Lucija); M. Andersson (Micael); B. Aribisala (Benjamin); N.J. Armstrong (Nicola J.); M. Bernard (Manon); M.M. Bohlken (Marc M.); M.P.M. Boks (Marco); L.B.C. Bralten (Linda); A.A. Brown (Andrew); M.M. Chakravarty (M. Mallar); Q. Chen (Qiang); C.R.K. Ching (Christopher); G. Cuellar-Partida (Gabriel); A. den Braber (Anouk); S. Giddaluru (Sudheer); A.L. Goldman (Aaron L.); O. Grimm (Oliver); T. Guadalupe (Tulio); J. Hass (Johanna); G. Woldehawariat (Girma); A.J. Holmes (Avram); M. Hoogman (Martine); D. Janowitz (Deborah); T. Jia (Tianye); S. Kim (Shinseog); M. Klein (Marieke); B. Kraemer (Bernd); P.H. Lee (Phil H.); L.M. Olde Loohuis (Loes M.); M. Luciano (Michelle); C. MacAre (Christine); R. Mather; M. Mattheisen (Manuel); Y. Milaneschi (Yuri); K. Nho (Kwangsik); M. Papmeyer (Martina); A. Ramasamy (Adaikalavan); S.L. Risacher (Shannon); R. Roiz-Santiañez (Roberto); E.J. Rose (Emma); A. Salami (Alireza); P.G. Sämann (Philipp); L. Schmaal (Lianne); N.J. Schork (Nicholas); J. Shin (Jean); V.M. Strike (Vanessa); A. Teumer (Alexander); M.M.J. Van Donkelaar (Marjolein M. J.); K.R. van Eijk (Kristel); R.K. Walters (Raymond); L.T. Westlye (Lars); C.D. Whelan (Christopher); A.M. Winkler (Anderson); M.P. Zwiers (Marcel); S. Alhusaini (Saud); L. Athanasiu (Lavinia); S.M. Ehrlich (Stefan); M. Hakobjan (Marina); C.B. Hartberg (Cecilie B.); U.K. Haukvik (Unn); A.J.G.A.M. Heister (Angelien J. G. A. M.); D. Hoehn (David); D. Kasperaviciute (Dalia); D.C. Liewald (David C.); L.M. Lopez (Lorna); R.R.R. Makkinje (Remco R. R.); M. Matarin (Mar); M.A.M. Naber (Marlies A. M.); D. Reese McKay; M. Needham (Margaret); A.C. Nugent (Allison); B. Pütz (Benno); N.A. Royle (Natalie); L. Shen (Li); R. Sprooten (Roy); D. Trabzuni (Danyah); S.S.L. Van Der Marel (Saskia S. L.); K.J.E. Van Hulzen (Kimm J. E.); E. Walton (Esther); A. Björnsson (Asgeir); L. Almasy (Laura); D. Ames (David); S. Arepalli (Sampath); A.A. Assareh; M.E. Bastin (Mark); H. Brodaty (Henry); K. Bulayeva (Kazima); M.A. Carless (Melanie); S. Cichon (Sven); A. Corvin (Aiden); J.E. Curran (Joanne); M. Czisch (Michael); G.I. de Zubicaray (Greig); A. Dillman (Allissa); A. Duggirala (Aparna); M.D. Dyer (Matthew); S. Erk; I. Fedko (Iryna); L. Ferrucci (Luigi); T. Foroud (Tatiana); P.T. Fox (Peter); M. Fukunaga (Masaki); J. Raphael Gibbs; H.H.H. Göring (Harald H.); R.C. Green (Robert C.); S. Guelfi (Sebastian); N.K. Hansell (Narelle); C.A. Hartman (Catharina); K. Hegenscheid (Katrin); J. Heinz (Judith); D.G. Hernandez (Dena); D.J. Heslenfeld (Dirk); P.J. Hoekstra (Pieter); F. Holsboer; G. Homuth (Georg); J.J. Hottenga (Jouke Jan); M. Ikeda (Masashi); C.R. Jack Jr. (Clifford); S. Jenkinson (Sarah); R. Johnson (Robert); R. Kanai (Ryota); M. Keil (Maria); J.W. Kent (Jack W.); P. Kochunov (Peter); J.B. Kwok (John B.); S. Lawrie (Stephen); X. Liu (Xinmin); D.L. Longo (Dan L.); K.L. Mcmahon (Katie); E. Meisenzahl (Eva); I. Melle (Ingrid); S. Mohnke (Sebastian); G.W. Montgomery (Grant); J.C. Mostert (Jeanette C.); T.W. Mühleisen (Thomas); M.A. Nalls (Michael); T.E. Nichols (Thomas); L.G. Nilsson; M.M. Nöthen (Markus); K. Ohi (Kazutaka); R.L. Olvera (Rene); R. Perez-Iglesias (Rocio); G. Bruce Pike; S.G. Potkin (Steven); I. Reinvang (Ivar); S. Reppermund; M. Rietschel (M.); N. Seiferth (Nina); G.D. Rosen (Glenn D.); D. Rujescu (Dan); K. Schnell (Kerry); C.J. Schofield (Christopher); C. Smith (Colin); V.M. Steen (Vidar); J. Sussmann (Jessika); A. Thalamuthu (Anbupalam); A.W. Toga (Arthur W.); B. Traynor (Bryan); J.C. Troncoso (Juan); J. Turner (Jessica); M.C. Valdés Hernández (Maria); D. van 't Ent (Dennis); M.P. van der Brug (Marcel); N.J. van der Wee (Nic); M.J.D. van Tol (Marie-José); D.J. Veltman (Dick); A.M.J. Wassink (Annemarie); E. Westman (Eric); R.H. Zielke (Ronald H.); A.B. Zonderman (Alan B.); D.G. Ashbrook (David G.); R. Hager (Reinmar); L. Lu (Lu); F.J. Mcmahon (Francis J); D.W. Morris (Derek W); R.W. Williams (Robert W.); H.G. Brunner; M. Buckner; J.K. Buitelaar (Jan K.); W. Cahn (Wiepke); V.D. Calhoun Vince D. (V.); G. Cavalleri (Gianpiero); B. Crespo-Facorro (Benedicto); A.M. Dale (Anders); G.E. Davies (Gareth); N. Delanty; C. Depondt (Chantal); S. Djurovic (Srdjan); D.A. Drevets (Douglas); T. Espeseth (Thomas); R.L. Gollub (Randy); B.C. Ho (Beng ); W. Hoffmann (Wolfgang)

    2015-01-01

    textabstractThe highly complex structure of the human brain is strongly shaped by genetic influences. Subcortical brain regions form circuits with cortical areas to coordinate movement, learning, memory and motivation, and altered circuits can lead to abnormal behaviour and disease. To investigate

  7. Common genetic variants influence human subcortical brain structures

    NARCIS (Netherlands)

    Hibar, D.P.; Stein, J.L.; Renteria, M.E.; Arias Vasquez, A.; Desrivieres, S.; Jahanshad, N.; Toro, R.; Wittfeld, K.; Abramovic, L.; Andersson, M.; Aribisala, B.S.; Armstrong, N.J.; Bernard, M.; Bohlken, M.M.; Boks, M.P.; Bralten, J.; Brown, A.A.; Chakravarty, M.M.; Chen, Q.; Ching, C.R.; Cuellar-Partida, G.; Braber, A.; Giddaluru, S.; Goldman, A.L.; Grimm, O.; Guadalupe, T.; Hass, J.; Woldehawariat, G.; Holmes, A.J.; Hoogman, M.; Janowitz, D.; Jia, T.; Kim, S.; Klein, M.; Kraemer, B.; Lee, P.H.; Olde Loohuis, L.M.; Luciano, M.; Macare, C.; Mather, K.A.; Mattheisen, M.; Milaneschi, Y.; Nho, K.; Papmeyer, M.; Ramasamy, A.; Risacher, S.L.; Roiz-Santianez, R.; Rose, E.J.; Salami, A.; Samann, P.G.; Schmaal, L.; Schork, A.J.; Shin, J.; Strike, L.T.; Teumer, A.; Donkelaar, M.M.J. van; Eijk, K.R. van; Walters, R.K.; Westlye, L.T.; Whelan, C.D.; Winkler, A.M.; Zwiers, M.P.; Alhusaini, S.; Athanasiu, L.; Ehrlich, S.; Hakobjan, M.M.; Hartberg, C.B.; Haukvik, U.K.; Heister, A.J.; Hoehn, D.; Kasperaviciute, D.; Liewald, D.C.; Lopez, L.M.; Makkinje, R.R.; Matarin, M.; Naber, M.; McKay, D.R.; Needham, M.; Nugent, A.C.; Putz, B.; Royle, N.A.; Shen, L.; Sprooten, E.; Trabzuni, D.; Marel, S.S. van der; Hulzen, K.J.E. van; Walton, E.; Wolf, C.; Almasy, L.; Ames, D.; Arepalli, S.; Assareh, A.A.; Bastin, M.E.; Brodaty, H.; Bulayeva, K.B.; Carless, M.A.; Cichon, S.; Corvin, A.; Curran, J.E.; Czisch, M.; Fisher, S.E.

    2015-01-01

    The highly complex structure of the human brain is strongly shaped by genetic influences. Subcortical brain regions form circuits with cortical areas to coordinate movement, learning, memory and motivation, and altered circuits can lead to abnormal behaviour and disease. To investigate how common

  8. Common genetic variants influence human subcortical brain structures

    NARCIS (Netherlands)

    Hibar, Derrek P.; Stein, Jason L.; Renteria, Miguel E.; Arias-Vasquez, Alejandro; Desrivieres, Sylvane; Jahanshad, Neda; Toro, Roberto; Wittfeld, Katharina; Abramovic, Lucija; Andersson, Micael; Aribisala, Benjamin S.; Armstrong, Nicola J.; Bernard, Manon; Bohlken, Marc M.; Boks, Marco P.; Bralten, Janita; Brown, Andrew A.; Chakravarty, M. Mallar; Chen, Qiang; Ching, Christopher R. K.; Cuellar-Partida, Gabriel; den Braber, Anouk; Giddaluru, Sudheer; Goldman, Aaron L.; Grimm, Oliver; Guadalupe, Tulio; Hass, Johanna; Woldehawariat, Girma; Holmes, Avram J.; Hoogman, Martine; Janowitz, Deborah; Jia, Tianye; Kim, Sungeun; Klein, Marieke; Kraemer, Bernd; Lee, Phil H.; Loohuis, Loes M. Olde; Luciano, Michelle; Macare, Christine; Mather, Karen A.; Mattheisen, Manuel; Milaneschi, Yuri; Nho, Kwangsik; Papmeyer, Martina; Ramasamy, Adaikalavan; Risacher, Shannon L.; Roiz-Santianez, Roberto; Rose, Emma J.; Salami, Alireza; Saemann, Philipp G.; Schmaal, Lianne; Schork, Andrew J.; Shin, Jean; Strike, Lachlan T.; Teumer, Alexander; van Donkelaar, Marjolein M. J.; van Eijk, Kristel R.; Walters, Raymond K.; Westlye, Lars T.; Whelan, Christopher D.; Winkler, Anderson M.; Zwiers, Marcel P.; Alhusaini, Saud; Athanasiu, Lavinia; Ehrlich, Stefan; Hakobjan, Marina M. H.; Hartberg, Cecilie B.; Haukvik, Unn K.; Heister, Angelien J. G. A. M.; Hoehn, David; Kasperaviciute, Dalia; Liewald, David C. M.; Lopez, Lorna M.; Makkinje, Remco R. R.; Matarin, Mar; Naber, Marlies A. M.; McKay, D. Reese; Needham, Margaret; Nugent, Allison C.; Puetz, Benno; Royle, Natalie A.; Shen, Li; Sprooten, Emma; Trabzuni, Daniah; van der Marel, Saskia S. L.; van Hulzen, Kimm J. E.; Walton, Esther; Wolf, Christiane; Almasy, Laura; Ames, David; Arepalli, Sampath; Assareh, Amelia A.; Bastin, Mark E.; Brodaty, Henry; Bulayeva, Kazima B.; Carless, Melanie A.; Cichon, Sven; Corvin, Aiden; Curran, Joanne E.; Czisch, Michael; de Zubicaray, Greig I.; Dillman, Allissa; Duggirala, Ravi; Dyer, Thomas D.; Erk, Susanne; Fedko, Iryna O.; Ferrucci, Luigi; Foroud, Tatiana M.; Fox, Peter T.; Fukunaga, Masaki; Gibbs, J. Raphael; Goering, Harald H. H.; Green, Robert C.; Guelfi, Sebastian; Hansell, Narelle K.; Hartman, Catharina A.; Hegenscheid, Katrin; Heinz, Andreas; Hernandez, Dena G.; Heslenfeld, Dirk J.; Hoekstra, Pieter J.; Holsboer, Florian; Homuth, Georg; Hottenga, Jouke-Jan; Ikeda, Masashi; Jack, Clifford R.; Jenkinson, Mark; Johnson, Robert; Kanai, Ryota; Keil, Maria; Kent, Jack W.; Kochunov, Peter; Kwok, John B.; Lawrie, Stephen M.; Liu, Xinmin; Longo, Dan L.; McMahon, Katie L.; Meisenzah, Eva; Melle, Ingrid; Mahnke, Sebastian; Montgomery, Grant W.; Mostert, Jeanette C.; Muehleisen, Thomas W.; Nalls, Michael A.; Nichols, Thomas E.; Nilsson, Lars G.; Noethen, Markus M.; Ohi, Kazutaka; Olvera, Rene L.; Perez-Iglesias, Rocio; Pike, G. Bruce; Potkin, Steven G.; Reinvang, Ivar; Reppermund, Simone; Rietschel, Marcella; Romanczuk-Seiferth, Nina; Rosen, Glenn D.; Rujescu, Dan; Schnell, Knut; Schofield, Peter R.; Smith, Colin; Steen, Vidar M.; Sussmann, Jessika E.; Thalamuthu, Anbupalam; Toga, Arthur W.; Traynor, Bryan J.; Troncoso, Juan; Turner, Jessica A.; Valdes Hernandez, Maria C.; van't Ent, Dennis; van der Brug, Marcel; van der Wee, Nic J. A.; van Tol, Marie-Jose; Veltman, Dick J.; Wassink, Thomas H.; Westman, Eric; Zielke, Ronald H.; Zonderman, Alan B.; Ashbrook, David G.; Hager, Reinmar; Lu, Lu; McMahon, Francis J.; Morris, Derek W.; Williams, Robert W.; Brunner, Han G.; Buckner, Randy L.; Buitelaar, Jan K.; Cahn, Wiepke; Calhoun, Vince D.; Cavalleri, Gianpiero L.; Crespo-Facorro, Benedicto; Dale, Anders M.; Davies, Gareth E.; Delanty, Norman; Depondt, Chantal; Djurovic, Srdjan; Drevets, Wayne C.; Espeseth, Thomas; Gollub, Randy L.; Ho, Beng-Choon; Hoffman, Wolfgang; Hosten, Norbert; Kahn, Rene S.; Le Hellard, Stephanie; Meyer-Lindenberg, Andreas; Mueller-Myhsok, Bertram; Nauck, Matthias; Nyberg, Lars; Pandolfo, Massimo; Penninx, Brenda W. J. H.; Roffman, Joshua L.; Sisodiya, Sanjay M.; Smoller, Jordan W.; van Bokhoven, Hans; van Haren, Neeltje E. M.; Voelzke, Henry; Walter, Henrik; Weiner, Michael W.; Wen, Wei; White, Tonya; Agartz, Ingrid; Andreassen, Ole A.; Blangero, John; Boomsma, Dorret I.; Brouwer, Rachel M.; Cannon, Dara M.; Cookson, Mark R.; de Geus, Eco J. C.; Deary, Ian J.; Donohoe, Gary; Fernandez, Guillen; Fisher, Simon E.; Francks, Clyde; Glahn, David C.; Grabe, Hans J.; Gruber, Oliver; Hardy, John; Hashimoto, Ryota; Pol, Hilleke E. Hulshoff; Joensson, Erik G.; Kloszewska, Iwona; Lovestone, Simon; Mattay, Venkata S.; Mecocci, Patrizia; McDonald, Colm; McIntosh, Andrew M.; Ophoff, Roel A.; Paus, Tomas; Pausova, Zdenka; Ryten, Mina; Sachdev, Perminder S.; Saykin, Andrew J.; Simmons, Andy; Singleton, Andrew; Soininen, Hilkka; Wardlaw, Joanna M.; Weale, Michael E.; Weinberger, Daniel R.; Adams, Hieab H. H.; Launer, Lenore J.; Seiler, Stephan; Schmidt, Reinhold; Chauhan, Ganesh; Satizabal, Claudia L.; Becker, James T.; Yanek, Lisa; van der Lee, Sven J.; Ebling, Maritza; Fischl, Bruce; Longstreth, W. T.; Greve, Douglas; Schmidt, Helena; Nyquist, Paul; Vinke, Louis N.; van Duijn, Cornelia M.; Xue, Luting; Mazoyer, Bernard; Bis, Joshua C.; Gudnason, Vilmundur; Seshadri, Sudha; Ikram, M. Arfan; Martin, Nicholas G.; Wright, Margaret J.; Schumann, Gunter; Franke, Barbara; Thompson, Paul M.; Medland, Sarah E.

    2015-01-01

    The highly complex structure of the human brain is strongly shaped by genetic influences(1). Subcortical brain regions form circuits with cortical areas to coordinate movement(2), learning, memory(3) and motivation(4), and altered circuits can lead to abnormal behaviour and disease(5). To

  9. Investigation of previously implicated genetic variants in chronic tic disorders

    DEFF Research Database (Denmark)

    Abdulkadir, Mohamed; Londono, Douglas; Gordon, Derek

    2017-01-01

    Genetic studies in Tourette syndrome (TS) are characterized by scattered and poorly replicated findings. We aimed to replicate findings from candidate gene and genome-wide association studies (GWAS). Our cohort included 465 probands with chronic tic disorder (93% TS) and both parents from 412 fam...

  10. Common genetic variants influence human subcortical brain structures

    NARCIS (Netherlands)

    D.P. Hibar (Derrek); J.L. Stein; M.E. Rentería (Miguel); A. Arias-Vásquez (Alejandro); S. Desrivières (Sylvane); N. Jahanshad (Neda); R. Toro (Roberto); K. Wittfeld (Katharina); L. Abramovic; M. Andersson (Micael); B. Aribisala (Benjamin); N.J. Armstrong (Nicola J.); M. Bernard (Manon); M.M. Bohlken (Marc M.); M.P.M. Boks (Marco); L.B.C. Bralten (Linda); A.A. Brown (Andrew); M.M. Chakravarty (M. Mallar); Q. Chen (Qiang); C.R.K. Ching (Christopher); G. Cuellar-Partida (Gabriel); A. den Braber (Anouk); S. Giddaluru (Sudheer); A.L. Goldman (Aaron L.); O. Grimm (Oliver); T. Guadalupe (Tulio); J. Hass (Johanna); G. Woldehawariat (Girma); A.J. Holmes (Avram); M. Hoogman (Martine); D. Janowitz (Deborah); T. Jia (Tianye); S. Kim (Shinseog); M. Klein (Marieke); B. Kraemer (Bernd); P.H. Lee (Phil H.); L.M. Olde Loohuis (Loes M.); M. Luciano (Michelle); C. MacAre (Christine); R. Mather; M. Mattheisen (Manuel); Y. Milaneschi (Yuri); K. Nho (Kwangsik); M. Papmeyer (Martina); A. Ramasamy (Adaikalavan); S.L. Risacher (Shannon); R. Roiz-Santiañez (Roberto); E.J. Rose (Emma); A. Salami (Alireza); P.G. Sämann (Philipp); L. Schmaal (Lianne); N.J. Schork (Nicholas); J. Shin (Jean); V.M. Strike (Vanessa); A. Teumer (Alexander); M.M.J. Van Donkelaar (Marjolein M. J.); K.R. van Eijk (Kristel); R.K. Walters (Raymond); L.T. Westlye (Lars); C.D. Whelan (Christopher); A.M. Winkler (Anderson); M.P. Zwiers (Marcel); S. Alhusaini (Saud); L. Athanasiu (Lavinia); S.M. Ehrlich (Stefan); M. Hakobjan (Marina); C.B. Hartberg (Cecilie B.); U.K. Haukvik (Unn); A.J.G.A.M. Heister (Angelien J. G. A. M.); D. Hoehn (David); D. Kasperaviciute (Dalia); D.C. Liewald (David C.); L.M. Lopez (Lorna); R.R.R. Makkinje (Remco R. R.); M. Matarin (Mar); M.A.M. Naber (Marlies A. M.); D. Reese McKay; M. Needham (Margaret); A.C. Nugent (Allison); B. Pütz (Benno); N.A. Royle (Natalie); L. Shen (Li); R. Sprooten (Roy); D. Trabzuni (Danyah); S.S.L. Van Der Marel (Saskia S. L.); K.J.E. Van Hulzen (Kimm J. E.); E. Walton (Esther); A. Björnsson (Asgeir); L. Almasy (Laura); D. Ames (David); S. Arepalli (Sampath); A.A. Assareh; M.E. Bastin (Mark); H. Brodaty (Henry); K. Bulayeva (Kazima); M.A. Carless (Melanie); S. Cichon (Sven); A. Corvin (Aiden); J.E. Curran (Joanne); M. Czisch (Michael); G.I. de Zubicaray (Greig); A. Dillman (Allissa); A. Duggirala (Aparna); M.D. Dyer (Matthew); S. Erk; I. Fedko (Iryna); L. Ferrucci (Luigi); T. Foroud (Tatiana); P.T. Fox (Peter); M. Fukunaga (Masaki); J. Raphael Gibbs; H.H.H. Göring (Harald H.); R.C. Green (Robert C.); S. Guelfi (Sebastian); N.K. Hansell (Narelle); C.A. Hartman (Catharina); K. Hegenscheid (Katrin); J. Heinz (Judith); D.G. Hernandez (Dena); D.J. Heslenfeld (Dirk); P.J. Hoekstra (Pieter); F. Holsboer; G. Homuth (Georg); J.J. Hottenga (Jouke Jan); M. Ikeda (Masashi); C.R. Jack Jr. (Clifford); S. Jenkinson (Sarah); R. Johnson (Robert); R. Kanai (Ryota); M. Keil (Maria); J.W. Kent (Jack W.); P. Kochunov (Peter); J.B. Kwok (John B.); S. Lawrie (Stephen); X. Liu (Xinmin); D.L. Longo (Dan L.); K.L. Mcmahon (Katie); E. Meisenzahl (Eva); I. Melle (Ingrid); S. Mohnke (Sebastian); G.W. Montgomery (Grant); J.C. Mostert (Jeanette C.); T.W. Mühleisen (Thomas); M.A. Nalls (Michael); T.E. Nichols (Thomas); L.G. Nilsson; M.M. Nöthen (Markus); K. Ohi (Kazutaka); R.L. Olvera (Rene); R. Perez-Iglesias (Rocio); G. Bruce Pike; S.G. Potkin (Steven); I. Reinvang (Ivar); S. Reppermund; M. Rietschel (M.); N. Seiferth (Nina); G.D. Rosen (Glenn D.); D. Rujescu (Dan); K. Schnell (Kerry); C.J. Schofield (Christopher); C. Smith (Colin); V.M. Steen (Vidar); J. Sussmann (Jessika); A. Thalamuthu (Anbupalam); A.W. Toga (Arthur W.); B. Traynor (Bryan); J.C. Troncoso (Juan); J. Turner (Jessica); M.C. Valdés Hernández (Maria); D. van 't Ent (Dennis); M.P. van der Brug (Marcel); N.J. van der Wee (Nic); M.J.D. van Tol (Marie-José); D.J. Veltman (Dick); A.M.J. Wassink (Annemarie); E. Westman (Eric); R.H. Zielke (Ronald H.); A.B. Zonderman (Alan B.); D.G. Ashbrook (David G.); R. Hager (Reinmar); L. Lu (Lu); F.J. Mcmahon (Francis J); D.W. Morris (Derek W); R.W. Williams (Robert W.); H.G. Brunner; M. Buckner; J.K. Buitelaar (Jan K.); W. Cahn (Wiepke); V.D. Calhoun Vince D. (V.); G. Cavalleri (Gianpiero); B. Crespo-Facorro (Benedicto); A.M. Dale (Anders); G.E. Davies (Gareth); N. Delanty; C. Depondt (Chantal); S. Djurovic (Srdjan); D.A. Drevets (Douglas); T. Espeseth (Thomas); R.L. Gollub (Randy); B.C. Ho (Beng ); W. Hoffmann (Wolfgang); N. Hosten (Norbert); R. Kahn; S. Le Hellard (Stephanie); A. Meyer-Lindenberg; B. Müller-Myhsok (B.); M. Nauck (Matthias); L. Nyberg (Lars); M. Pandolfo (Massimo); B.W.J.H. Penninx (Brenda); J.L. Roffman (Joshua); S.M. Sisodiya (Sanjay); J.W. Smoller; H. van Bokhoven (Hans); N.E.M. van Haren (Neeltje E.); H. Völzke (Henry); H.J. Walter (Henrik); M.W. Weiner (Michael); W. Wen (Wei); T.J.H. White (Tonya); I. Agartz (Ingrid); O.A. Andreassen (Ole A.); J. Blangero (John); D.I. Boomsma (Dorret); R.M. Brouwer (Rachel); D.M. Cannon (Dara); M.R. Cookson (Mark); E.J.C. de Geus (Eco); I.J. Deary (Ian J.); D.J. Donohoe (Dennis); G. Fernandez (Guillén); S.E. Fisher (Simon); C. Francks (Clyde); D.C. Glahn (David); H.J. Grabe (Hans Jörgen); O. Gruber (Oliver); J. Hardy (John); R. Hashimoto (Ryota); H.E. Hulshoff Pol (Hilleke); E.G. Jönsson (Erik); I. Kloszewska (Iwona); S. Lovestone (Simon); V.S. Mattay (Venkata S.); P. Mecocci (Patrizia); C. McDonald (Colm); A.M. McIntosh (Andrew); R.A. Ophoff (Roel); T. Paus (Tomas); Z. Pausova (Zdenka); M. Ryten (Mina); P.S. Sachdev (Perminder); A.J. Saykin (Andrew); A. Simmons (Andrew); A. Singleton (Andrew); H. Soininen (H.); J.M. Wardlaw (J.); M.E. Weale (Michael); D.R. Weinberger (Daniel); H.H.H. Adams (Hieab); L.J. Launer (Lenore); S. Seiler (Stephan); R. Schmidt (Reinhold); G. Chauhan (Ganesh); C.L. Satizabal (Claudia L.); J.T. Becker (James); L.R. Yanek (Lisa); S. van der Lee (Sven); M. Ebling (Maritza); B. Fischl (Bruce); W.T. Longstreth Jr; D. Greve (Douglas); R. Schmidt (Reinhold); P. Nyquist (Paul); L.N. Vinke (Louis N.); C.M. van Duijn (Cock); L. Xue (Luting); B. Mazoyer (Bernard); J.C. Bis (Joshua); V. Gudnason (Vilmundur); S. Seshadri (Sudha); M.A. Ikram (Arfan); N.G. Martin (Nicholas); M.J. Wright (Margaret); G. Schumann (Gunter); B. Franke (Barbara); P.M. Thompson (Paul); S.E. Medland (Sarah Elizabeth)

    2015-01-01

    textabstractThe highly complex structure of the human brain is strongly shaped by genetic influences. Subcortical brain regions form circuits with cortical areas to coordinate movement, learning, memory and motivation, and altered circuits can lead to abnormal behaviour and disease. To investigate h

  11. Perspective: Identification of genetic variants associated with dopaminergic compensatory mechanisms in early Parkinson's disease

    OpenAIRE

    2013-01-01

    Parkinson's disease (PD) is slowly progressive, and heterogeneity of its severity among individuals may be due to endogenous mechanisms that counterbalance the striatal dopamine loss. In this perspective paper, we introduce a neuroimaging-genetic approach to identify genetic variants, which may contribute to this compensation. First, we briefly review current known potential compensatory mechanisms for premotor and early disease PD, located in the striatum and other brain regions. Then, we c...

  12. Genetic barrier and variant fitness in hepatitis C as critical parameters for drug resistance development.

    Science.gov (United States)

    Welsch, Christoph

    2014-03-01

    The approval of direct-acting antiviral agents (DAAs) has marked a pivotal change in the treatment landscape of chronic hepatitis C. As for DAAs targeting other viral diseases, there are concerns regarding the development of resistant viral variants. Their selection allows the virus to escape from drug pressure with subsequent treatment failure. The emergence of resistant variants depends on multiple factors that range from genetic barriers to mutations to the fitness of viral variants. This article illustrates the basic mechanisms underlying development of resistance to specific antiviral agents with a special emphasis on NS3 protease inhibitors. The role of fitness deficits and compensation for variant selection and persistence is discussed together with technical issues in sequencing as well as clinical implications in the use of DAAs now and in the future.

  13. Combined analysis of six lipoprotein lipase genetic variants on triglycerides, high-density lipoprotein, and ischemic heart disease

    DEFF Research Database (Denmark)

    Wittrup, Hans H; Andersen, Rolf V; Tybjaerg-Hansen, Anne;

    2006-01-01

    Genetic variants in lipoprotein lipase may affect triglycerides, high-density lipoprotein (HDL), and risk of ischemic heart disease (IHD).......Genetic variants in lipoprotein lipase may affect triglycerides, high-density lipoprotein (HDL), and risk of ischemic heart disease (IHD)....

  14. Genome-wide meta-analysis of observational studies shows common genetic variants associated with macronutrient intake

    NARCIS (Netherlands)

    T. Tanaka (Toshiko); J.S. Ngwa; F.J.A. van Rooij (Frank); M.C. Zillikens (Carola); M.K. Wojczynski (Mary ); A.C. Frazier-Wood (Alexis); D.K. Houston (Denise); S. Kanoni (Stavroula); R.N. Lemaitre (Rozenn ); J. Luan; V. Mikkilä (Vera); F. Renström (Frida); E. Sonestedt (Emily); J.H. Zhao (Jing); A.Y. Chu (Audrey); L. Qi (Lu); D.I. Chasman (Daniel); M.C. De Oliveira Otto (Marcia); E.J. Dhurandhar (Emily); M.F. Feitosa (Mary Furlan); I. Johansson (Ingegerd); K-T. Khaw (Kay-Tee); K. Lohman (Kurt); A. Manichaikul (Ani); N.M. McKeown (Nicola ); D. Mozaffarian (Dariush); A.B. Singleton (Andrew); K. Stirrups (Kathy); J. Viikari (Jorma); Z. Ye (Zheng); S. Bandinelli (Stefania); I. Barroso (Inês); P. Deloukas (Panagiotis); N.G. Forouhi (Nita); A. Hofman (Albert); Y. Liu (Yongmei); L.-P. Lyytikäinen (Leo-Pekka); K.E. North (Kari); M. Dimitriou (Maria); G. Hallmans (Göran); M. Kähönen (Mika); C. Langenberg (Claudia); J.M. Ordovas (Jose); A.G. Uitterlinden (André); F.B. Hu (Frank); I.-P. Kalafati (Ioanna-Panagiota); O. Raitakari (Olli); O.H. Franco (Oscar); A. Johnson (Anthony); V. Emilsson (Valur); J.A. Schrack (Jennifer); R.D. Semba; D.S. Siscovick (David); D.K. Arnett (Donna); I.B. Borecki (Ingrid); P.W. Franks (Paul); S.B. Kritchevsky (Stephen); R.J.F. Loos (Ruth); M. Orho-Melander (Marju); J.I. Rotter (Jerome); N.J. Wareham (Nick); J.C.M. Witteman (Jacqueline); L. Ferrucci (Luigi); G.V. Dedoussis (George); L.A. Cupples (Adrienne); J.A. Nettleton (Jennifer )

    2013-01-01

    textabstractBackground: Macronutrient intake varies substantially between individuals, and there is evidence that this variation is partly accounted for by genetic variants. Objective: The objective of the study was to identify common genetic variants that are associated with macronutrient intake. D

  15. Combined analysis of six lipoprotein lipase genetic variants on triglycerides, high-density lipoprotein, and ischemic heart disease

    DEFF Research Database (Denmark)

    Wittrup, Hans H; Andersen, Rolf V; Tybjaerg-Hansen, Anne

    2006-01-01

    Genetic variants in lipoprotein lipase may affect triglycerides, high-density lipoprotein (HDL), and risk of ischemic heart disease (IHD).......Genetic variants in lipoprotein lipase may affect triglycerides, high-density lipoprotein (HDL), and risk of ischemic heart disease (IHD)....

  16. Genetic variant near IRS1 is associated with type 2 diabetes, insulin resistance and hyperinsulinemia

    DEFF Research Database (Denmark)

    Rung, Johan; Cauchi, Stéphane; Albrechtsen, Anders;

    2009-01-01

    Genome-wide association studies have identified common variants that only partially explain the genetic risk for type 2 diabetes (T2D). Using genome-wide association data from 1,376 French individuals, we identified 16,360 SNPs nominally associated with T2D and studied these SNPs in an independen...

  17. Common genetic variants and modification of penetrance of BRCA2-associated breast cancer

    DEFF Research Database (Denmark)

    Gaudet, Mia M; Kirchhoff, Tomas; Green, Todd

    2010-01-01

    The considerable uncertainty regarding cancer risks associated with inherited mutations of BRCA2 is due to unknown factors. To investigate whether common genetic variants modify penetrance for BRCA2 mutation carriers, we undertook a two-staged genome-wide association study in BRCA2 mutation carri...

  18. Common genetic variants associated with cognitive performance identified using the proxy-phenotype method

    NARCIS (Netherlands)

    C.A. Rietveld (Niels); T. Esko (Tõnu); G. Davies (Gail); T.H. Pers (Tune); P. Turley (Patrick); B. Benyamin (Beben); C.F. Chabris (Christopher F.); V. Emilsson (Valur); A.D. Johnson (Andrew); J.J. Lee (James J.); C. de Leeuw (Christiaan); R.E. Marioni (Riccardo); S.E. Medland (Sarah Elizabeth); M. Miller (Mike); O. Rostapshova (Olga); S. van der Lee (Sven); A.A.E. Vinkhuyzen (Anna A.); N. Amin (Najaf); D. Conley (Dalton); J. Derringer; C.M. van Duijn (Cock); R.S.N. Fehrmann (Rudolf); L. Franke (Lude); E.L. Glaeser (Edward L.); N.K. Hansell (Narelle); C. Hayward (Caroline); W.G. Iacono (William); C.A. Ibrahim-Verbaas (Carla); V.W.V. Jaddoe (Vincent); J. Karjalainen (Juha); D. Laibson (David); P. Lichtenstein (Paul); D.C. Liewald (David C.); P.K. Magnusson (Patrik); N.G. Martin (Nicholas); M. McGue (Matt); G. Mcmahon (George); N.L. Pedersen (Nancy); S. Pinker (Steven); D.J. Porteous (David J.); D. Posthuma (Danielle); F. Rivadeneira Ramirez (Fernando); B.H. Smithk (Blair H.); J.M. Starr (John); H.W. Tiemeier (Henning); N.J. Timpsonm (Nicholas J.); M. Trzaskowskin (Maciej); A.G. Uitterlinden (André); F.C. Verhulst (Frank); M.E. Ward (Mary); M.J. Wright (Margaret); G.D. Smith; I.J. Deary (Ian J.); M. Johannesson (Magnus); R. Plomin (Robert); P.M. Visscher (Peter); D.J. Benjamin (Daniel J.); D. Cesarini (David); Ph.D. Koellinger (Philipp)

    2014-01-01

    textabstractWe identify common genetic variants associated with cognitive performance using a two-stage approach, which we call the proxyphenotype method. First, we conduct a genome-wide association study of educational attainment in a large sample (n = 106,736), which produces a set of 69 education

  19. Common genetic variants and modification of penetrance of BRCA2-associated breast cancer

    NARCIS (Netherlands)

    M.M. Gaudet (Mia); T. Kircchoff (Tomas); T. Green (Todd); J. Vijai (Joseph); J.M. Korn (Joshua); C. Guiducci (Candace); A.V. Segrè (Ayellet); K. McGee (Kate); L. McGuffog (Lesley); C. Kartsonaki (Christiana); J. Morrison (Jonathan); S. Healey (Sue); O. Sinilnikova (Olga); D. Stoppa-Lyonnet (Dominique); S. Mazoyer (Sylvie); M. Gauthier-Villars (Marion); H. Sobol (Hagay); M. Longy (Michel); M. Frenay (Marc); F.B.L. Hogervorst (Frans); M.A. Rookus (Matti); J.M. Collée (Margriet); N. Hoogerbrugge (Nicoline); K.E. van Roozendaal (Kees); M. Piedemonte (Marion); W.S. Rubinstein (Wendy); S. Nerenstone (Stacy); L. van Le (Linda); S.V. Blank (Stephanie); T. Caldes (Trinidad); M. de La Hoya (Miguel); H. Nevanlinna (Heli); K. Aittomäki (Kristiina); C. Lazaro (Conxi); I. Blanco (Ignacio); A. Arason (Adalgeir); O.T. Johannson (Oskar); R.B. Barkardottir (Rosa); P. Devilee (Peter); O.I. Olopade (Olofunmilayo); S.L. Neuhausen (Susan); X. Wang (Xianshu); Z. Fredericksen (Zachary); P. Peterlongo (Paolo); S. Manoukian (Siranoush); M. Barile (Monica); A. Viel (Alessandra); P. Radice (Paolo); C. Phelan (Catherine); S. Narod (Steven); G. Rennert (Gad); F. Lejbkowicz (Flavio); A. Flugelman (Anath); I.L. Andrulis (Irene); G. Glendon (Gord); H. Ozcelik (Hilmi); A.E. Toland (Amanda); M. Montagna (Marco); E. D'Andrea (Emma); E. Friedman (Eitan); Y. Laitman (Yael); Å. Borg (Åke); M.S. Beattie (Mary); S.J. Ramus (Susan); S.M. Domchek (Susan); K.L. Nathanson (Katherine); R. Rebbeck (Timothy); A.B. Spurdle (Amanda); X. Chen (Xiaoqing); H. Holland (Helene); E.M. John (Esther); J. Hopper (John); S.S. Buys (Saundra); M.B. Daly (Mary); M.C. Southey (Melissa); M-B. Terry (Mary-beth); N. Tung (Nadine); T.V.O. Hansen (Thomas); F.C. Nielsen (Finn); M.H. Greene (Mark); P.L. Mai (Phuong); A. Osorio (Ana); M. Duran; R. Andres (Raquel); J. Benítez (Javier); J.N. Weitzel (Jeffrey); J. Garber (Judy); U. Hamann (Ute); S. Peock (Susan); M. Cook (Margaret); C.T. Oliver (Clare); D. Frost (Debra); R. Platte (Radka); D.G. Evans (Gareth); F. Lalloo (Fiona); R. Eeles (Rosalind); L. Izatt (Louise); L.J. Walker (Lisa); J. Eason (Jacqueline); J. Barwell (Julian); A.K. Godwin (Andrew); R.K. Schmutzler (Rita); B. Wapenschmidt (Barbara); S. Engert (Stefanie); N. Arnold (Norbert); D. Gadzicki (Dorothea); M. Dean (Michael Emmans); B. Gold (Bert); R.J. Klein (Robert); F.J. Couch (Fergus); G. Chenevix-Trench (Georgia); D.F. Easton (Douglas); M.J. Daly (Mark); A.C. Antoniou (Antonis); D. Altshuler (David); K. Offit (Kenneth)

    2010-01-01

    textabstractThe considerable uncertainty regarding cancer risks associated with inherited mutations of BRCA2 is due to unknown factors. To investigate whether common genetic variants modify penetrance for BRCA2 mutation carriers, we undertook a two-staged genome-wide association study in BRCA2

  20. FTO genetic variants, dietary intake and body mass index

    DEFF Research Database (Denmark)

    Qi, Qibin; Oskari Kilpeläinen, Tuomas; Downer, Mary K

    2014-01-01

    FTO is the strongest known genetic susceptibility locus for obesity. Experimental studies in animals suggest the potential roles of FTO in regulating food intake. The interactive relation among FTO variants, dietary intake and body mass index (BMI) is complex and results from previous often small...

  1. Common genetic variants and modification of penetrance of BRCA2-associated breast cancer

    NARCIS (Netherlands)

    M.M. Gaudet (Mia); T. Kircchoff (Tomas); T. Green (Todd); J. Vijai (Joseph); J.M. Korn (Joshua); C. Guiducci (Candace); A.V. Segrè (Ayellet); K. McGee (Kate); L. McGuffog (Lesley); C. Kartsonaki (Christiana); J. Morrison (Jonathan); S. Healey (Sue); O. Sinilnikova (Olga); D. Stoppa-Lyonnet (Dominique); S. Mazoyer (Sylvie); M. Gauthier-Villars (Marion); H. Sobol (Hagay); M. Longy (Michel); M. Frenay (Marc); F.B.L. Hogervorst (Frans); M.A. Rookus (Matti); J.M. Collée (Margriet); N. Hoogerbrugge (Nicoline); K.E. van Roozendaal (Kees); M. Piedemonte (Marion); W.S. Rubinstein (Wendy); S. Nerenstone (Stacy); L. van Le (Linda); S.V. Blank (Stephanie); T. Caldes (Trinidad); M. de La Hoya (Miguel); H. Nevanlinna (Heli); K. Aittomäki (Kristiina); C. Lazaro (Conxi); I. Blanco (Ignacio); A. Arason (Adalgeir); O.T. Johannson (Oskar); R.B. Barkardottir (Rosa); P. Devilee (Peter); O.I. Olopade (Olofunmilayo); S.L. Neuhausen (Susan); X. Wang (Xianshu); Z. Fredericksen (Zachary); P. Peterlongo (Paolo); S. Manoukian (Siranoush); M. Barile (Monica); A. Viel (Alessandra); P. Radice (Paolo); C. Phelan (Catherine); S. Narod (Steven); G. Rennert (Gad); F. Lejbkowicz (Flavio); A. Flugelman (Anath); I.L. Andrulis (Irene); G. Glendon (Gord); H. Ozcelik (Hilmi); A.E. Toland (Amanda); M. Montagna (Marco); E. D'Andrea (Emma); E. Friedman (Eitan); Y. Laitman (Yael); Å. Borg (Åke); M.S. Beattie (Mary); S.J. Ramus (Susan); S.M. Domchek (Susan); K.L. Nathanson (Katherine); R. Rebbeck (Timothy); A.B. Spurdle (Amanda); X. Chen (Xiaoqing); H. Holland (Helene); E.M. John (Esther); J. Hopper (John); S.S. Buys (Saundra); M.B. Daly (Mary); M.C. Southey (Melissa); M-B. Terry (Mary-beth); N. Tung (Nadine); T.V.O. Hansen (Thomas); F.C. Nielsen (Finn); M.H. Greene (Mark); P.L. Mai (Phuong); A. Osorio (Ana); M. Duran; R. Andres (Raquel); J. Benítez (Javier); J.N. Weitzel (Jeffrey); J. Garber (Judy); U. Hamann (Ute); S. Peock (Susan); M. Cook (Margaret); C.T. Oliver (Clare); D. Frost (Debra); R. Platte (Radka); D.G. Evans (Gareth); F. Lalloo (Fiona); R. Eeles (Rosalind); L. Izatt (Louise); L.J. Walker (Lisa); J. Eason (Jacqueline); J. Barwell (Julian); A.K. Godwin (Andrew); R.K. Schmutzler (Rita); B. Wapenschmidt (Barbara); S. Engert (Stefanie); N. Arnold (Norbert); D. Gadzicki (Dorothea); M. Dean (Michael Emmans); B. Gold (Bert); R.J. Klein (Robert); F.J. Couch (Fergus); G. Chenevix-Trench (Georgia); D.F. Easton (Douglas); M.J. Daly (Mark); A.C. Antoniou (Antonis); D. Altshuler (David); K. Offit (Kenneth)

    2010-01-01

    textabstractThe considerable uncertainty regarding cancer risks associated with inherited mutations of BRCA2 is due to unknown factors. To investigate whether common genetic variants modify penetrance for BRCA2 mutation carriers, we undertook a two-staged genome-wide association study in BRCA2 mutat

  2. Common Genetic Variants and Modification of Penetrance of BRCA2-Associated Breast Cancer

    NARCIS (Netherlands)

    Gaudet, Mia M.; Kirchhoff, Tomas; Green, Todd; Vijai, Joseph; Korn, Joshua M.; Guiducci, Candace; Segre, Ayellet V.; McGee, Kate; McGuffog, Lesley; Kartsonaki, Christiana; Morrison, Jonathan; Healey, Sue; Sinilnikova, Olga M.; Stoppa-Lyonnet, Dominique; Mazoyer, Sylvie; Gauthier-Villars, Marion; Sobol, Hagay; Longy, Michel; Frenay, Marc; Hogervorst, Frans B. L.; Rookus, Matti A.; Collee, J. Margriet; Hoogerbrugge, Nicoline; van Roozendaal, Kees E. P.; Piedmonte, Marion; Rubinstein, Wendy; Nerenstone, Stacy; Van Le, Linda; Blank, Stephanie V.; Caldes, Trinidad; de la Hoya, Miguel; Nevanlinna, Heli; Aittomaki, Kristiina; Lazaro, Conxi; Blanco, Ignacio; Arason, Adalgeir; Johannsson, Oskar T.; Barkardottir, Rosa B.; Devilee, Peter; Olopade, Olofunmilayo I.; Neuhausen, Susan L.; Wang, Xianshu; Fredericksen, Zachary S.; Peterlongo, Paolo; Manoukian, Siranoush; Barile, Monica; Viel, Alessandra; Radice, Paolo; Phelan, Catherine M.; Narod, Steven; Rennert, Gad; Lejbkowicz, Flavio; Flugelman, Anath; Andrulis, Irene L.; Glendon, Gord; Ozcelik, Hilmi; Toland, Amanda E.; Montagna, Marco; D'Andrea, Emma; Friedman, Eitan; Laitman, Yael; Borg, Ake; Beattie, Mary; Ramus, Susan J.; Domchek, Susan M.; Nathanson, Katherine L.; Rebbeck, Tim; Spurdle, Amanda B.; Chen, Xiaoqing; Holland, Helene; John, Esther M.; Hopper, John L.; Buys, Saundra S.; Daly, Mary B.; Southey, Melissa C.; Terry, Mary Beth; Tung, Nadine; Hansen, Thomas V. Overeem; Nielsen, Finn C.; Greene, Mark I.; Mai, Phuong L.; Osorio, Ana; Duran, Mercedes; Andres, Raquel; Benitez, Javier; Weitzel, Jeffrey N.; Garber, Judy; Hamann, Ute; Peock, Susan; Cook, Margaret; Oliver, Clare; Frost, Debra; Platte, Radka; Evans, D. Gareth; Lalloo, Fiona; Eeles, Ros; Izatt, Louise; Walker, Lisa; Eason, Jacqueline; Barwell, Julian; Godwin, Andrew K.; Schmutzler, Rita K.; Wappenschmidt, Barbara; Engert, Stefanie; Arnold, Norbert; Gadzicki, Dorothea; Dean, Michael; Gold, Bert; Klein, Robert J.; Couch, Fergus J.; Chenevix-Trench, Georgia; Easton, Douglas F.; Daly, Mark J.; Antoniou, Antonis C.; Altshuler, David M.; Offit, Kenneth

    2010-01-01

    The considerable uncertainty regarding cancer risks associated with inherited mutations of BRCA2 is due to unknown factors. To investigate whether common genetic variants modify penetrance for BRCA2 mutation carriers, we undertook a two-staged genome-wide association study in BRCA2 mutation carriers

  3. Psoriasis Patients Are Enriched for Genetic Variants That Protect against HIV-1 Disease

    Science.gov (United States)

    Chen, Haoyan; Hayashi, Genki; Lai, Olivia Y.; Dilthey, Alexander; Kuebler, Peter J.; Wong, Tami V.; Martin, Maureen P.; Fernandez Vina, Marcelo A.; McVean, Gil; Wabl, Matthias; Leslie, Kieron S.; Maurer, Toby; Martin, Jeffrey N.; Deeks, Steven G.; Carrington, Mary; Bowcock, Anne M.; Nixon, Douglas F.; Liao, Wilson

    2012-01-01

    An important paradigm in evolutionary genetics is that of a delicate balance between genetic variants that favorably boost host control of infection but which may unfavorably increase susceptibility to autoimmune disease. Here, we investigated whether patients with psoriasis, a common immune-mediated disease of the skin, are enriched for genetic variants that limit the ability of HIV-1 virus to replicate after infection. We analyzed the HLA class I and class II alleles of 1,727 Caucasian psoriasis cases and 3,581 controls and found that psoriasis patients are significantly more likely than controls to have gene variants that are protective against HIV-1 disease. This includes several HLA class I alleles associated with HIV-1 control; amino acid residues at HLA-B positions 67, 70, and 97 that mediate HIV-1 peptide binding; and the deletion polymorphism rs67384697 associated with high surface expression of HLA-C. We also found that the compound genotype KIR3DS1 plus HLA-B Bw4-80I, which respectively encode a natural killer cell activating receptor and its putative ligand, significantly increased psoriasis susceptibility. This compound genotype has also been associated with delay of progression to AIDS. Together, our results suggest that genetic variants that contribute to anti-viral immunity may predispose to the development of psoriasis. PMID:22577363

  4. Psoriasis patients are enriched for genetic variants that protect against HIV-1 disease.

    Directory of Open Access Journals (Sweden)

    Haoyan Chen

    2012-02-01

    Full Text Available An important paradigm in evolutionary genetics is that of a delicate balance between genetic variants that favorably boost host control of infection but which may unfavorably increase susceptibility to autoimmune disease. Here, we investigated whether patients with psoriasis, a common immune-mediated disease of the skin, are enriched for genetic variants that limit the ability of HIV-1 virus to replicate after infection. We analyzed the HLA class I and class II alleles of 1,727 Caucasian psoriasis cases and 3,581 controls and found that psoriasis patients are significantly more likely than controls to have gene variants that are protective against HIV-1 disease. This includes several HLA class I alleles associated with HIV-1 control; amino acid residues at HLA-B positions 67, 70, and 97 that mediate HIV-1 peptide binding; and the deletion polymorphism rs67384697 associated with high surface expression of HLA-C. We also found that the compound genotype KIR3DS1 plus HLA-B Bw4-80I, which respectively encode a natural killer cell activating receptor and its putative ligand, significantly increased psoriasis susceptibility. This compound genotype has also been associated with delay of progression to AIDS. Together, our results suggest that genetic variants that contribute to anti-viral immunity may predispose to the development of psoriasis.

  5. Common Genetic Variants and Modification of Penetrance of BRCA2-Associated Breast Cancer

    NARCIS (Netherlands)

    Gaudet, Mia M.; Kirchhoff, Tomas; Green, Todd; Vijai, Joseph; Korn, Joshua M.; Guiducci, Candace; Segre, Ayellet V.; McGee, Kate; McGuffog, Lesley; Kartsonaki, Christiana; Morrison, Jonathan; Healey, Sue; Sinilnikova, Olga M.; Stoppa-Lyonnet, Dominique; Mazoyer, Sylvie; Gauthier-Villars, Marion; Sobol, Hagay; Longy, Michel; Frenay, Marc; Hogervorst, Frans B. L.; Rookus, Matti A.; Collee, J. Margriet; Hoogerbrugge, Nicoline; van Roozendaal, Kees E. P.; Piedmonte, Marion; Rubinstein, Wendy; Nerenstone, Stacy; Van Le, Linda; Blank, Stephanie V.; Caldes, Trinidad; de la Hoya, Miguel; Nevanlinna, Heli; Aittomaki, Kristiina; Lazaro, Conxi; Blanco, Ignacio; Arason, Adalgeir; Johannsson, Oskar T.; Barkardottir, Rosa B.; Devilee, Peter; Olopade, Olofunmilayo I.; Neuhausen, Susan L.; Wang, Xianshu; Fredericksen, Zachary S.; Peterlongo, Paolo; Manoukian, Siranoush; Barile, Monica; Viel, Alessandra; Radice, Paolo; Phelan, Catherine M.; Narod, Steven; Rennert, Gad; Lejbkowicz, Flavio; Flugelman, Anath; Andrulis, Irene L.; Glendon, Gord; Ozcelik, Hilmi; Toland, Amanda E.; Montagna, Marco; D'Andrea, Emma; Friedman, Eitan; Laitman, Yael; Borg, Ake; Beattie, Mary; Ramus, Susan J.; Domchek, Susan M.; Nathanson, Katherine L.; Rebbeck, Tim; Spurdle, Amanda B.; Chen, Xiaoqing; Holland, Helene; John, Esther M.; Hopper, John L.; Buys, Saundra S.; Daly, Mary B.; Southey, Melissa C.; Terry, Mary Beth; Tung, Nadine; Hansen, Thomas V. Overeem; Nielsen, Finn C.; Greene, Mark I.; Mai, Phuong L.; Osorio, Ana; Duran, Mercedes; Andres, Raquel; Benitez, Javier; Weitzel, Jeffrey N.; Garber, Judy; Hamann, Ute; Peock, Susan; Cook, Margaret; Oliver, Clare; Frost, Debra; Platte, Radka; Evans, D. Gareth; Lalloo, Fiona; Eeles, Ros; Izatt, Louise; Walker, Lisa; Eason, Jacqueline; Barwell, Julian; Godwin, Andrew K.; Schmutzler, Rita K.; Wappenschmidt, Barbara; Engert, Stefanie; Arnold, Norbert; Gadzicki, Dorothea; Dean, Michael; Gold, Bert; Klein, Robert J.; Couch, Fergus J.; Chenevix-Trench, Georgia; Easton, Douglas F.; Daly, Mark J.; Antoniou, Antonis C.; Altshuler, David M.; Offit, Kenneth

    2010-01-01

    The considerable uncertainty regarding cancer risks associated with inherited mutations of BRCA2 is due to unknown factors. To investigate whether common genetic variants modify penetrance for BRCA2 mutation carriers, we undertook a two-staged genome-wide association study in BRCA2 mutation carriers

  6. Common genetic variants and modification of penetrance of BRCA2-associated breast cancer

    NARCIS (Netherlands)

    M.M. Gaudet (Mia); T. Kircchoff (Tomas); T. Green (Todd); J. Vijai (Joseph); J.M. Korn (Joshua); C. Guiducci (Candace); A.V. Segrè (Ayellet); K. McGee (Kate); L. McGuffog (Lesley); C. Kartsonaki (Christiana); J. Morrison (Jonathan); S. Healey (Sue); O. Sinilnikova (Olga); D. Stoppa-Lyonnet (Dominique); S. Mazoyer (Sylvie); M. Gauthier-Villars (Marion); H. Sobol (Hagay); M. Longy (Michel); M. Frenay (Marc); F.B.L. Hogervorst (Frans); M.A. Rookus (Matti); J.M. Collée (Margriet); N. Hoogerbrugge (Nicoline); K.E. van Roozendaal (Kees); M. Piedemonte (Marion); W.S. Rubinstein (Wendy); S. Nerenstone (Stacy); L. van Le (Linda); S.V. Blank (Stephanie); T. Caldes (Trinidad); M. de La Hoya (Miguel); H. Nevanlinna (Heli); K. Aittomäki (Kristiina); C. Lazaro (Conxi); I. Blanco (Ignacio); A. Arason (Adalgeir); O.T. Johannson (Oskar); R.B. Barkardottir (Rosa); P. Devilee (Peter); O.I. Olopade (Olofunmilayo); S.L. Neuhausen (Susan); X. Wang (Xianshu); Z. Fredericksen (Zachary); P. Peterlongo (Paolo); S. Manoukian (Siranoush); M. Barile (Monica); A. Viel (Alessandra); P. Radice (Paolo); C. Phelan (Catherine); S. Narod (Steven); G. Rennert (Gad); F. Lejbkowicz (Flavio); A. Flugelman (Anath); I.L. Andrulis (Irene); G. Glendon (Gord); H. Ozcelik (Hilmi); A.E. Toland (Amanda); M. Montagna (Marco); E. D'Andrea (Emma); E. Friedman (Eitan); Y. Laitman (Yael); Å. Borg (Åke); M.S. Beattie (Mary); S.J. Ramus (Susan); S.M. Domchek (Susan); K.L. Nathanson (Katherine); R. Rebbeck (Timothy); A.B. Spurdle (Amanda); X. Chen (Xiaoqing); H. Holland (Helene); E.M. John (Esther); J. Hopper (John); S.S. Buys (Saundra); M.B. Daly (Mary); M.C. Southey (Melissa); M-B. Terry (Mary-beth); N. Tung (Nadine); T.V.O. Hansen (Thomas); F.C. Nielsen (Finn); M.H. Greene (Mark); P.L. Mai (Phuong); A. Osorio (Ana); M. Duran; R. Andres (Raquel); J. Benítez (Javier); J.N. Weitzel (Jeffrey); J. Garber (Judy); U. Hamann (Ute); S. Peock (Susan); M. Cook (Margaret); C.T. Oliver (Clare); D. Frost (Debra); R. Platte (Radka); D.G. Evans (Gareth); F. Lalloo (Fiona); R. Eeles (Rosalind); L. Izatt (Louise); L.J. Walker (Lisa); J. Eason (Jacqueline); J. Barwell (Julian); A.K. Godwin (Andrew); R.K. Schmutzler (Rita); B. Wapenschmidt (Barbara); S. Engert (Stefanie); N. Arnold (Norbert); D. Gadzicki (Dorothea); M. Dean (Michael Emmans); B. Gold (Bert); R.J. Klein (Robert); F.J. Couch (Fergus); G. Chenevix-Trench (Georgia); D.F. Easton (Douglas); M.J. Daly (Mark); A.C. Antoniou (Antonis); D. Altshuler (David); K. Offit (Kenneth)

    2010-01-01

    textabstractThe considerable uncertainty regarding cancer risks associated with inherited mutations of BRCA2 is due to unknown factors. To investigate whether common genetic variants modify penetrance for BRCA2 mutation carriers, we undertook a two-staged genome-wide association study in BRCA2 mutat

  7. Identifying genetic variants for heart rate variability in the acetylcholine pathway

    NARCIS (Netherlands)

    Riese, Harriëtte; Muñoz Venegas, Loretto; Hartman, Catharina A; Ding, Xiuhua; Su, Shaoyong; Oldehinkel, Albertine J; van Roon, Arie M; van der Most, Peter J; Lefrandt, Joop; Gansevoort, Ronald; van der Harst, Pim; Verweij, Niek; Licht, Carmilla M M; Boomsma, Dorret I; Hottenga, Jouke-Jan; Willemsen, Gonneke; Penninx, Brenda W J H; Nolte, Ilja M; de Geus, Eco J C; Wang, Xiaoling; Snieder, Harold

    2014-01-01

    Heart rate variability is an important risk factor for cardiovascular disease and all-causemortality. The acetylcholine pathway plays a key role in explaining heart rate variability in humans. We assessed whether 443 genotyped and imputed common genetic variants in eight key genes (CHAT, SLC18A3,

  8. Common genetic variants and modification of penetrance of BRCA2-associated breast cancer

    DEFF Research Database (Denmark)

    Gaudet, Mia M; Kirchhoff, Tomas; Green, Todd;

    2010-01-01

    The considerable uncertainty regarding cancer risks associated with inherited mutations of BRCA2 is due to unknown factors. To investigate whether common genetic variants modify penetrance for BRCA2 mutation carriers, we undertook a two-staged genome-wide association study in BRCA2 mutation...

  9. A pooling-based approach to mapping genetic variants associated with DNA methylation.

    Science.gov (United States)

    Kaplow, Irene M; MacIsaac, Julia L; Mah, Sarah M; McEwen, Lisa M; Kobor, Michael S; Fraser, Hunter B

    2015-06-01

    DNA methylation is an epigenetic modification that plays a key role in gene regulation. Previous studies have investigated its genetic basis by mapping genetic variants that are associated with DNA methylation at specific sites, but these have been limited to microarrays that cover map of DNA methylation. Compared to methods that do not account for ASM, our approach increases statistical power to detect associations while sharply reducing cost, effort, and experimental variability. As a proof of concept, we generated deep sequencing data from a pool of 60 human cell lines; we evaluated almost twice as many CpGs as the largest microarray studies and identified more than 2000 genetic variants associated with DNA methylation. We found that these variants are highly enriched for associations with chromatin accessibility and CTCF binding but are less likely to be associated with traits indirectly linked to DNA, such as gene expression and disease phenotypes. In summary, our approach allows genome-wide mapping of genetic variants associated with DNA methylation in any tissue of any species, without the need for individual-level genotype or methylation data.

  10. Strategy for incorporating newly discovered causative genetic variants into genomic evaluations

    Science.gov (United States)

    With sequence data available for an increasing number of dairy cattle, discovery of causative genetic variants is expected to be frequent. Current genomic evaluation systems require genotypes for all markers that contribute to an evaluation. A minimum number of animals with an observation for a new ...

  11. Common genetic variants associated with cognitive performance identified using the proxy-phenotype method

    NARCIS (Netherlands)

    Rietveld, Cornelius A; Esko, Tõnu; Davies, Gail; Pers, Tune H; Turley, Patrick; Benyamin, Beben; Chabris, Christopher F; Emilsson, Valur; Johnson, Andrew D; Lee, James J; de Leeuw, Christiaan; Marioni, Riccardo E; Medland, Sarah E; Miller, Michael B; Rostapshova, Olga; van der Lee, Sven J; Vinkhuyzen, Anna A E; Amin, Najaf; Conley, Dalton; Derringer, Jaime; van Duijn, Cornelia M; Fehrmann, Rudolf; Franke, Lude; Glaeser, Edward L; Hansell, Narelle K; Hayward, Caroline; Iacono, William G; Ibrahim-Verbaas, Carla; Jaddoe, Vincent; Karjalainen, Juha; Laibson, David; Lichtenstein, Paul; Liewald, David C; Magnusson, Patrik K E; Martin, Nicholas G; McGue, Matt; McMahon, George; Pedersen, Nancy L; Pinker, Steven; Porteous, David J; Posthuma, Danielle; Rivadeneira, Fernando; Smith, Blair H; Starr, John M; Tiemeier, Henning; Timpson, Nicholas J; Trzaskowski, Maciej; Uitterlinden, André G; Verhulst, Frank C; Ward, Mary E; Wright, Margaret J; Davey Smith, George; Deary, Ian J; Johannesson, Magnus; Plomin, Robert; Visscher, Peter M; Benjamin, Daniel J; Cesarini, David; Koellinger, Philipp D

    2014-01-01

    We identify common genetic variants associated with cognitive performance using a two-stage approach, which we call the proxy-phenotype method. First, we conduct a genome-wide association study of educational attainment in a large sample (n = 106,736), which produces a set of 69 education-associated

  12. Common genetic variants associated with cognitive performance identified using the proxy-phenotype method

    NARCIS (Netherlands)

    Rietveld, Cornelius A; Esko, Tõnu; Davies, Gail; Pers, Tune H; Turley, Patrick; Benyamin, Beben; Chabris, Christopher F; Emilsson, Valur; Johnson, Andrew D; Lee, James J; de Leeuw, Christiaan; Marioni, Riccardo E; Medland, Sarah E; Miller, Michael B; Rostapshova, Olga; van der Lee, Sven J; Vinkhuyzen, Anna A E; Amin, Najaf; Conley, Dalton; Derringer, Jaime; van Duijn, Cornelia M; Fehrmann, Rudolf; Franke, Lude; Glaeser, Edward L; Hansell, Narelle K; Hayward, Caroline; Iacono, William G; Ibrahim-Verbaas, Carla; Jaddoe, Vincent; Karjalainen, Juha; Laibson, David; Lichtenstein, Paul; Liewald, David C; Magnusson, Patrik K E; Martin, Nicholas G; McGue, Matt; McMahon, George; Pedersen, Nancy L; Pinker, Steven; Porteous, David J; Posthuma, Danielle; Rivadeneira, Fernando; Smith, Blair H; Starr, John M; Tiemeier, Henning; Timpson, Nicholas J; Trzaskowski, Maciej; Uitterlinden, André G; Verhulst, Frank C; Ward, Mary E; Wright, Margaret J; Davey Smith, George; Deary, Ian J; Johannesson, Magnus; Plomin, Robert; Visscher, Peter M; Benjamin, Daniel J; Cesarini, David; Koellinger, Philipp D

    2014-01-01

    We identify common genetic variants associated with cognitive performance using a two-stage approach, which we call the proxy-phenotype method. First, we conduct a genome-wide association study of educational attainment in a large sample (n = 106,736), which produces a set of 69 education-associated

  13. Common genetic variants associated with cognitive performance identified using the proxy-phenotype method

    NARCIS (Netherlands)

    C.A. Rietveld (Niels); T. Esko (Tõnu); G. Davies (Gail); T.H. Pers (Tune); P. Turley (Patrick); B. Benyamin (Beben); C.F. Chabris (Christopher F.); V. Emilsson (Valur); A.D. Johnson (Andrew); J.J. Lee (James J.); C. de Leeuw (Christiaan); R.E. Marioni (Riccardo); S.E. Medland (Sarah Elizabeth); M. Miller (Mike); O. Rostapshova (Olga); S. van der Lee (Sven); A.A.E. Vinkhuyzen (Anna A.); N. Amin (Najaf); D. Conley (Dalton); J. Derringer; C.M. van Duijn (Cock); R.S.N. Fehrmann (Rudolf); L. Franke (Lude); E.L. Glaeser (Edward L.); N.K. Hansell (Narelle); C. Hayward (Caroline); W.G. Iacono (William); C.A. Ibrahim-Verbaas (Carla); V.W.V. Jaddoe (Vincent); J. Karjalainen (Juha); D. Laibson (David); P. Lichtenstein (Paul); D.C. Liewald (David C.); P.K. Magnusson (Patrik); N.G. Martin (Nicholas); M. McGue (Matt); G. Mcmahon (George); N.L. Pedersen (Nancy); S. Pinker (Steven); D.J. Porteous (David J.); D. Posthuma (Danielle); F. Rivadeneira Ramirez (Fernando); B.H. Smithk (Blair H.); J.M. Starr (John); H.W. Tiemeier (Henning); N.J. Timpsonm (Nicholas J.); M. Trzaskowskin (Maciej); A.G. Uitterlinden (André); F.C. Verhulst (Frank); M.E. Ward (Mary); M.J. Wright (Margaret); G.D. Smith; I.J. Deary (Ian J.); M. Johannesson (Magnus); R. Plomin (Robert); P.M. Visscher (Peter); D.J. Benjamin (Daniel J.); D. Cesarini (David); Ph.D. Koellinger (Philipp)

    2014-01-01

    textabstractWe identify common genetic variants associated with cognitive performance using a two-stage approach, which we call the proxyphenotype method. First, we conduct a genome-wide association study of educational attainment in a large sample (n = 106,736), which produces a set of 69 education

  14. Regulatory genomic regions active in immune cell types explain a large proportion of the genetic risk of multiple sclerosis.

    Science.gov (United States)

    Elangovan, Ramyiadarsini I; Disanto, Giulio; Berlanga-Taylor, Antonio J; Ramagopalan, Sreeram V; Handunnetthi, Lahiru

    2014-04-01

    There is little understanding of how genetic variants discovered in recent genome-wide association studies are involved in the pathogenesis of multiple sclerosis (MS). We aimed to investigate which chromatin states and cell types explain genetic risk in MS. We used genotype data from 1854 MS patients and 5164 controls produced by the International Multiple Sclerosis Genetics Consortium and Wellcome Trust Case Control Consortium. We estimated the proportion of phenotypic variance between cases and controls explained by cell-specific chromatin state and DNase I hypersensitivity sites (DHSs) using the Genome-wide Complex Trait Analysis software. A large proportion of variance was explained by single-nucleotide polymorphisms (SNPs) in strong enhancer (SE) elements of immortalized B lymphocytes (5.39%). Three independent SNPs located within SE showed suggestive evidence of association with MS: rs12928822 (odds ratio (OR)=0.81, 95% confidence interval (CI)=0.73-0.89, P=2.48E-05), rs727263 (OR=0.75, 95% CI=0.66-0.85, P=3.26E-06) and rs4674923 (OR=0.85, 95% CI=0.79-0.92, P=1.63E-05). Genetic variants located within DHSs of CD19+ B cells explained the greatest proportion of variance. Genetic variants influencing the risk of MS are located within regulatory elements active in immune cells. This study also identifies a number of immune cell types likely to be involved in the causal cascade and that carry important implications for future studies of therapeutic design.

  15. Gastrointestinal Stromal Tumors, Somatic Mutations and Candidate Genetic Risk Variants

    OpenAIRE

    Katie M O'Brien; Irene Orlow; Antonescu, Cristina R.; Karla Ballman; Linda McCall; Ronald DeMatteo; Engel, Lawrence S.

    2013-01-01

    Gastrointestinal stromal tumors (GISTs) are rare but treatable soft tissue sarcomas. Nearly all GISTs have somatic mutations in either the KIT or PDGFRA gene, but there are no known inherited genetic risk factors. We assessed the relationship between KIT/PDGFRA mutations and select deletions or single nucleotide polymorphisms (SNPs) in 279 participants from a clinical trial of adjuvant imatinib mesylate. Given previous evidence that certain susceptibility loci and carcinogens are associated w...

  16. A genetic variant near olfactory receptor genes influences cilantro preference

    OpenAIRE

    Eriksson, Nicholas; Wu, Shirley; Do, Chuong B.; Kiefer, Amy K.; Joyce Y Tung; Mountain, Joanna L.; Hinds, David A.; Francke, Uta

    2012-01-01

    The leaves of the Coriandrum sativum plant, known as cilantro or coriander, are widely used in many cuisines around the world. However, far from being a benign culinary herb, cilantro can be polarizing---many people love it while others claim that it tastes or smells foul, often like soap or dirt. This soapy or pungent aroma is largely attributed to several aldehydes present in cilantro. Cilantro preference is suspected to have a genetic component, yet to date nothing is known about specific ...

  17. The genetic basis of severe combined immunodeficiency and its variants

    Science.gov (United States)

    Tasher, Diana; Dalal, Ilan

    2012-01-01

    Severe combined immunodeficiency (SCID) syndromes are characterized by a block in T lymphocyte differentiation that is variably associated with abnormal development of other lymphocyte lineages (B and/or natural killer [NK] cells), leading to death early in life unless treated urgently by hematopoietic stem cell transplant. SCID comprises genotypically and phenotypically heterogeneous conditions, of which the genetic basis for approximately 85% of the underlying immunologic defects have been recently elucidated. A major obstacle in deciphering the pathogenesis of SCID syndromes is that different mutations in a single gene may give rise to distinct clinical conditions and that a similar clinical phenotype can result from mutations in different genes. Mutation analysis is now an important component of the complete evaluation of a patient with SCID since it has a dramatic impact on many aspects of this potentially life-threatening disease such as genetic counseling, prenatal diagnosis, modalities of treatment, and, eventually, prognosis. Dr Robert Good, one of the founders of modern immunology, described the SCID syndrome as “experiments of nature.” By understanding the cellular and genetic basis of these immunodeficiency diseases and, eventually, normal immunity, we optimize the “bedside to research laboratory and back again” approach to medicine. PMID:23776382

  18. The genetic basis of severe combined immunodeficiency and its variants

    Directory of Open Access Journals (Sweden)

    Tasher D

    2012-08-01

    Full Text Available Diana Tasher,1,2 Ilan Dalal1,21The Pediatric Infectious and Immunology Unit, E Wolfson Medical Center, Holon, Israel; 2The Sackler School of Medicine, Tel Aviv University, Tel Aviv, IsraelAbstract: Severe combined immunodeficiency (SCID syndromes are characterized by a block in T lymphocyte differentiation that is variably associated with abnormal development of other lymphocyte lineages (B and/or natural killer [NK] cells, leading to death early in life unless treated urgently by hematopoietic stem cell transplant. SCID comprises genotypically and phenotypically heterogeneous conditions, of which the genetic basis for approximately 85% of the underlying immunologic defects have been recently elucidated. A major obstacle in deciphering the pathogenesis of SCID syndromes is that different mutations in a single gene may give rise to distinct clinical conditions and that a similar clinical phenotype can result from mutations in different genes. Mutation analysis is now an important component of the complete evaluation of a patient with SCID since it has a dramatic impact on many aspects of this potentially life-threatening disease such as genetic counseling, prenatal diagnosis, modalities of treatment, and, eventually, prognosis. Dr Robert Good, one of the founders of modern immunology, described the SCID syndrome as "experiments of nature." By understanding the cellular and genetic basis of these immunodeficiency diseases and, eventually, normal immunity, we optimize the "bedside to research laboratory and back again" approach to medicine.Keywords: severe combined immune deficiency, molecular defects, lymphocytes

  19. Evidence-based psychiatric genetics, AKA the false dichotomy between common and rare variant hypotheses.

    Science.gov (United States)

    Visscher, P M; Goddard, M E; Derks, E M; Wray, N R

    2012-05-01

    In this article, we review some of the data that contribute to our understanding of the genetic architecture of psychiatric disorders. These include results from evolutionary modelling (hence no data), the observed recurrence risk to relatives and data from molecular markers. We briefly discuss the common-disease common-variant hypothesis, the success (or otherwise) of genome-wide association studies, the evidence for polygenic variance and the likely success of exome and whole-genome sequencing studies. We conclude that the perceived dichotomy between 'common' and 'rare' variants is not only false, but unhelpful in making progress towards increasing our understanding of the genetic basis of psychiatric disorders. Strong evidence has been accumulated that is consistent with the contribution of many genes to risk of disease, across a wide range of allele frequencies and with a substantial proportion of genetic variation in the population in linkage disequilibrium with single-nucleotide polymorphisms (SNPs) on commercial genotyping arrays. At the same time, most causal variants that segregate in the population are likely to be rare and in total these variants also explain a significant proportion of genetic variation. It is the combination of allele frequency, effect size and functional characteristics that will determine the success of new experimental paradigms such as whole exome/genome sequencing to detect such loci. Empirical results suggest that roughly half the genetic variance is tagged by SNPs on commercial genome-wide chips, but that individual causal variants have a small effect size, on average. We conclude that larger experimental sample sizes are essential to further our understanding of the biology underlying psychiatric disorders.

  20. Genetic variants of adiponectin and risk of colorectal cancer

    Science.gov (United States)

    Song, Mingyang; Gong, Jian; Giovannucci, Edward L.; Berndt, Sonja I.; Brenner, Hermann; Chang-Claude, Jenny; Curtis, Keith R.; Harrison, Tabitha A.; Hoffmeister, Michael; Hsu, Li; Jiao, Shuo; Le Marchand, Loic; Potter, John D.; Schoen, Robert E.; Seminara, Daniela; Slattery, Martha L.; White, Emily; Wu, Kana; Ogino, Shuji; Fuchs, Charles S.; Hunter, David J.; Tworoger, Shelley S.; Hu, Frank B.; Rimm, Eric; Jensen, Majken; Peters, Ulrike; Chan, Andrew T.

    2014-01-01

    Circulating adiponectin has been associated with lower risk of colorectal cancer (CRC). Genome-wide association studies have identified several single-nucleotide polymorphisms (SNPs) associated with adiponectin levels. However, it is unclear whether these SNPs are associated with CRC risk. In addition, previous data on SNPs in the adiponectin pathway and their associations with CRC are inconsistent. Therefore, we examined 19 SNPs in genes related to adiponectin or its receptors and their associations with CRC using logistic regression among 7,020 cases and 7,631 controls drawn from 10 studies included in the Genetics and Epidemiology of Colorectal Cancer Consortium. Using data from a subset of two large cohort studies, we also assessed the contribution of individual SNPs and an adiponectin genetic score to plasma adiponectin after accounting for lifestyle factors among 2,217 women and 619 men. We did not find any statistically significant association between the 19 adiponectin-associated SNPs and CRC risk (multivariable-adjusted odds ratios ranged from 0.89 to 1.05, all P > 0.05). Each SNP explained less than 2.50% of the variance of plasma adiponectin, and the genetic score collectively accounted for 2.95% and 1.42% of the variability of adiponectin in women and men, respectively, after adjustment for age, body mass index, physical activity, smoking, alcohol consumption, regular use of aspirin or non-steroidal anti-inflammatory drug and postmenopausal hormone use. In conclusion, our findings do not support an association between known adiponectin-related common SNPs and CRC incidence. However, known common SNPs account for only a limited proportion of the interindividual variance in circulating adiponectin. Further work is warranted to investigate the relationship between adiponectin and CRC while accounting for other components in the pathway. PMID:25431318

  1. Genetic and physiological variants of yeast selected from palm wine.

    Science.gov (United States)

    Ezeronye, O U; Okerentugba, P O

    2001-01-01

    Genetic screening of 1200-palm wine yeasts lead to the selection of fourteen isolates with various genetic and physiological properties. Nine of the isolates were identified as Saccharamyces species, three as Candida species, one as Schizosaccharomyces species and one as Kluyveromyces species. Five of the isolates were wild type parents, two were respiratory deficient mutants (rho) and nine were auxotrophic mutants. Four isolates were heterozygous diploid (alphaa) and two were homozygous diploid (aa/alphaalpha) for the mating a mating types were further identified on mating with type loci. Four Mat alpha and four Mat a types were further identified on mating with standard haploid yeast strains. Forty-five percent sporulated on starvation medium producing tetrads. Fifty-two percent of the four-spored asci contained four viable spores. Maximum specific growth rate [micromax] of the fourteen isolates range from 0.13-0.26, five isolates were able to utilize exogenous nitrate for growth. Percentage alcohol production range between 5.8-8.8% for palm wine yeast, 8.5% for bakers' yeast and 10.4% for brewers yeast. The palm wine yeast were more tolerant to exogenous alcohol but had a low alcohol productivity. Hybridization enhanced alcohol productivity and tolerance in the palm wine yeasts.

  2. Are genetic variants for tobacco smoking associated with cannabis involvement?

    Science.gov (United States)

    Agrawal, Arpana; Lynskey, Michael T; Kapoor, Manav; Bucholz, Kathleen K; Edenberg, Howard J; Schuckit, Marc; Brooks, Andrew; Hesselbrock, Victor; Kramer, John; Saccone, Nancy; Tischfield, Jay; Bierut, Laura J

    2015-05-01

    Cannabis users are highly likely to also be tobacco cigarette smokers and a proportion of this comorbidity is attributable to shared genetic influences. Three large meta-analyses of genomewide association studies (GWAS) of tobacco smoking have identified multiple genomewide significant (psmoking and with cannabis involvement in an independent sample. Eleven SNPs associated with cigarettes per day (CPD), ever versus never smoking and current smoking/smoking cessation at psmoking measures in 2716 European-American subjects from the Study of Addictions Genes and Environment (SAGE) and with lifetime and current cannabis use and DSM-IV cannabis abuse/dependence. Cannabis use and tobacco smoking correlated at 0.54. Rs16969968 in CHRNA5 (and its proxy, rs1051730 in CHRNA3) and rs1451240, a proxy for rs13280604 in CHRNB3, were associated with CPD after Bonferroni correction (psmoking initiation, as in the original meta-analysis and also with lifetime cannabis use. Associations with cannabis involvement were no longer significant upon adjustment for the tobacco smoking measures. The modest associations between cannabis involvement and SNPs for tobacco smoking were not independent of the comorbidity between tobacco and cannabis involvement. Larger samples of individuals might be required to articulate the specific genetic architecture of cannabis involvement. Copyright © 2015 Elsevier Ireland Ltd. All rights reserved.

  3. Computer-aided identification of polymorphism sets diagnostic for groups of bacterial and viral genetic variants

    Directory of Open Access Journals (Sweden)

    Huygens Flavia

    2007-08-01

    Full Text Available Abstract Background Single nucleotide polymorphisms (SNPs and genes that exhibit presence/absence variation have provided informative marker sets for bacterial and viral genotyping. Identification of marker sets optimised for these purposes has been based on maximal generalized discriminatory power as measured by Simpson's Index of Diversity, or on the ability to identify specific variants. Here we describe the Not-N algorithm, which is designed to identify small sets of genetic markers diagnostic for user-specified subsets of known genetic variants. The algorithm does not treat the user-specified subset and the remaining genetic variants equally. Rather Not-N analysis is designed to underpin assays that provide 0% false negatives, which is very important for e.g. diagnostic procedures for clinically significant subgroups within microbial species. Results The Not-N algorithm has been incorporated into the "Minimum SNPs" computer program and used to derive genetic markers diagnostic for multilocus sequence typing-defined clonal complexes, hepatitis C virus (HCV subtypes, and phylogenetic clades defined by comparative genome hybridization (CGH data for Campylobacter jejuni, Yersinia enterocolitica and Clostridium difficile. Conclusion Not-N analysis is effective for identifying small sets of genetic markers diagnostic for microbial sub-groups. The best results to date have been obtained with CGH data from several bacterial species, and HCV sequence data.

  4. Allele-specific methylation occurs at genetic variants associated with complex disease.

    Directory of Open Access Journals (Sweden)

    John N Hutchinson

    Full Text Available We hypothesize that the phenomenon of allele-specific methylation (ASM may underlie the phenotypic effects of multiple variants identified by Genome-Wide Association studies (GWAS. We evaluate ASM in a human population and document its genome-wide patterns in an initial screen at up to 380,678 sites within the genome, or up to 5% of the total genomic CpGs. We show that while substantial inter-individual variation exists, 5% of assessed sites show evidence of ASM in at least six samples; the majority of these events (81% are under genetic influence. Many of these cis-regulated ASM variants are also eQTLs in peripheral blood mononuclear cells and monocytes and/or in high linkage-disequilibrium with variants linked to complex disease. Finally, focusing on autoimmune phenotypes, we extend this initial screen to confirm the association of cis-regulated ASM with multiple complex disease-associated variants in an independent population using next-generation bisulfite sequencing. These four variants are implicated in complex phenotypes such as ulcerative colitis and AIDS progression disease (rs10491434, Celiac disease (rs2762051, Crohn's disease, IgA nephropathy and early-onset inflammatory bowel disease (rs713875 and height (rs6569648. Our results suggest cis-regulated ASM may provide a mechanistic link between the non-coding genetic changes and phenotypic variation observed in these diseases and further suggests a route to integrating DNA methylation status with GWAS results.

  5. Comparative analysis of phenotypes features in two common genetic variants of limb-girdle muscular dystrophy

    Directory of Open Access Journals (Sweden)

    I. V. Sharkova

    2015-01-01

    Full Text Available The algorithm of differential diagnosis of the two most common genetic variants the limb-girdle muscular dystrophy (LGMD2A and DMD, developed on the basis of a comprehensive survey of 85 patients with a diagnosis specification using techniques of DNA analysis. It is shown that the accurate diagnosis of LGMD genetic types should be based on the results of the clinical and genealogical, biochemical and molecular genetic analysis. The proposed algorithm will significantly reduces the economic and time costs with expensive DNA testing.

  6. A systems genetics approach provides a bridge from discovered genetic variants to biological pathways in rheumatoid arthritis.

    Directory of Open Access Journals (Sweden)

    Hirofumi Nakaoka

    Full Text Available Genome-wide association studies (GWAS have yielded novel genetic loci underlying common diseases. We propose a systems genetics approach to utilize these discoveries for better understanding of the genetic architecture of rheumatoid arthritis (RA. Current evidence of genetic associations with RA was sought through PubMed and the NHGRI GWAS catalog. The associations of 15 single nucleotide polymorphisms and HLA-DRB1 alleles were confirmed in 1,287 cases and 1,500 controls of Japanese subjects. Among these, HLA-DRB1 alleles and eight SNPs showed significant associations and all but one of the variants had the same direction of effect as identified in the previous studies, indicating that the genetic risk factors underlying RA are shared across populations. By receiver operating characteristic curve analysis, the area under the curve (AUC for the genetic risk score based on the selected variants was 68.4%. For seropositive RA patients only, the AUC improved to 70.9%, indicating good but suboptimal predictive ability. A simulation study shows that more than 200 additional loci with similar effect size as recent GWAS findings or 20 rare variants with intermediate effects are needed to achieve AUC = 80.0%. We performed the random walk with restart (RWR algorithm to prioritize genes for future mapping studies. The performance of the algorithm was confirmed by leave-one-out cross-validation. The RWR algorithm pointed to ZAP70 in the first rank, in which mutation causes RA-like autoimmune arthritis in mice. By applying the hierarchical clustering method to a subnetwork comprising RA-associated genes and top-ranked genes by the RWR, we found three functional modules relevant to RA etiology: "leukocyte activation and differentiation", "pattern-recognition receptor signaling pathway", and "chemokines and their receptors".These results suggest that the systems genetics approach is useful to find directions of future mapping strategies to illuminate

  7. Mutation extraction tools can be combined for robust recognition of genetic variants in the literature.

    Science.gov (United States)

    Jimeno Yepes, Antonio; Verspoor, Karin

    2014-01-01

    As the cost of genomic sequencing continues to fall, the amount of data being collected and studied for the purpose of understanding the genetic basis of disease is increasing dramatically. Much of the source information relevant to such efforts is available only from unstructured sources such as the scientific literature, and significant resources are expended in manually curating and structuring the information in the literature. As such, there have been a number of systems developed to target automatic extraction of mutations and other genetic variation from the literature using text mining tools. We have performed a broad survey of the existing publicly available tools for extraction of genetic variants from the scientific literature. We consider not just one tool but a number of different tools, individually and in combination, and apply the tools in two scenarios. First, they are compared in an intrinsic evaluation context, where the tools are tested for their ability to identify specific mentions of genetic variants in a corpus of manually annotated papers, the Variome corpus. Second, they are compared in an extrinsic evaluation context based on our previous study of text mining support for curation of the COSMIC and InSiGHT databases. Our results demonstrate that no single tool covers the full range of genetic variants mentioned in the literature. Rather, several tools have complementary coverage and can be used together effectively. In the intrinsic evaluation on the Variome corpus, the combined performance is above 0.95 in F-measure, while in the extrinsic evaluation the combined recall performance is above 0.71 for COSMIC and above 0.62 for InSiGHT, a substantial improvement over the performance of any individual tool. Based on the analysis of these results, we suggest several directions for the improvement of text mining tools for genetic variant extraction from the literature.

  8. Multivariable Mendelian randomization: the use of pleiotropic genetic variants to estimate causal effects.

    Science.gov (United States)

    Burgess, Stephen; Thompson, Simon G

    2015-02-15

    A conventional Mendelian randomization analysis assesses the causal effect of a risk factor on an outcome by using genetic variants that are solely associated with the risk factor of interest as instrumental variables. However, in some cases, such as the case of triglyceride level as a risk factor for cardiovascular disease, it may be difficult to find a relevant genetic variant that is not also associated with related risk factors, such as other lipid fractions. Such a variant is known as pleiotropic. In this paper, we propose an extension of Mendelian randomization that uses multiple genetic variants associated with several measured risk factors to simultaneously estimate the causal effect of each of the risk factors on the outcome. This "multivariable Mendelian randomization" approach is similar to the simultaneous assessment of several treatments in a factorial randomized trial. In this paper, methods for estimating the causal effects are presented and compared using real and simulated data, and the assumptions necessary for a valid multivariable Mendelian randomization analysis are discussed. Subject to these assumptions, we demonstrate that triglyceride-related pathways have a causal effect on the risk of coronary heart disease independent of the effects of low-density lipoprotein cholesterol and high-density lipoprotein cholesterol. © The Author 2015. Published by Oxford University Press on behalf of the Johns Hopkins Bloomberg School of Public Health.

  9. Genetic Variants Identified from Epilepsy of Unknown Etiology in Chinese Children by Targeted Exome Sequencing

    Science.gov (United States)

    Wang, Yimin; Du, Xiaonan; Bin, Rao; Yu, Shanshan; Xia, Zhezhi; Zheng, Guo; Zhong, Jianmin; Zhang, Yunjian; Jiang, Yong-hui; Wang, Yi

    2017-01-01

    Genetic factors play a major role in the etiology of epilepsy disorders. Recent genomics studies using next generation sequencing (NGS) technique have identified a large number of genetic variants including copy number (CNV) and single nucleotide variant (SNV) in a small set of genes from individuals with epilepsy. These discoveries have contributed significantly to evaluate the etiology of epilepsy in clinic and lay the foundation to develop molecular specific treatment. However, the molecular basis for a majority of epilepsy patients remains elusive, and furthermore, most of these studies have been conducted in Caucasian children. Here we conducted a targeted exome-sequencing of 63 trios of Chinese epilepsy families using a custom-designed NGS panel that covers 412 known and candidate genes for epilepsy. We identified pathogenic and likely pathogenic variants in 15 of 63 (23.8%) families in known epilepsy genes including SCN1A, CDKL5, STXBP1, CHD2, SCN3A, SCN9A, TSC2, MBD5, POLG and EFHC1. More importantly, we identified likely pathologic variants in several novel candidate genes such as GABRE, MYH1, and CLCN6. Our results provide the evidence supporting the application of custom-designed NGS panel in clinic and indicate a conserved genetic susceptibility for epilepsy between Chinese and Caucasian children. PMID:28074849

  10. Systematic analysis of genetic variants in Han Chinese patients with sporadic Parkinson’s disease

    Science.gov (United States)

    Yuan, Lamei; Song, Zhi; Deng, Xiong; Zheng, Wen; Guo, Yi; Yang, Zhijian; Deng, Hao

    2016-01-01

    Parkinson’s disease (PD) is one of the most common neurodegenerative disorders. Accumulated evidence confirms that genetic factors play a considerable role in PD pathogenesis. To examine whether point variants or haplotypes are associated with PD development, genotyping of 35 variants in 22 PD-related genes was performed in a well-characterized cohort of 512 Han Chinese PD patients and 512 normal controls. Both Pearson’s χ2 test and haplotype analysis were used to evaluate whether variants or their haplotypes were associated with PD in this cohort. The only statistically significant differences in genotypic and allelic frequencies between the patients and the controls were in the DnaJ heat shock protein family (Hsp40) member C10 gene (DNAJC10) variant rs13414223 (P = 0.004 and 0.002, respectively; odds ratio = 0.652, 95% confidence interval: 0.496–0.857). No other variants or haplotypes exhibited any significant differences between these two groups (all corrected P > 0.05). Our findings indicate that the variant rs13414223 in the DNAJC10 gene, a paralog of PD-related genes DNAJC6 and DNAJC13, may play a protective role in PD. This suggests it may be a PD-associated gene. PMID:27653456

  11. Chronic Rhinosinusitis Patients Show Accumulation of Genetic Variants in PARS2.

    Directory of Open Access Journals (Sweden)

    Viktor Henmyr

    Full Text Available Genetic studies of chronic rhinosinusitis (CRS have identified a total of 53 CRS-associated SNPs that were subsequently evaluated for their reproducibility in a recent study. The rs2873551 SNP in linkage disequilibrium with PARS2 showed the strongest association signal. The present study aims to comprehensively screen for rare variants in PARS2 and evaluate for accumulation of such variants in CRS-patients. Sanger sequencing and long-range PCR were used to screen for rare variants in the putative promoter region and coding sequence of 310 CRS-patients and a total of 21 variants were detected. The mutation spectrum was then compared with data from European populations of the 1000Genomes project (EUR and the Exome Aggregation Consortium (ExAC. The CRS population showed a significant surplus of low-frequency variants compared with ExAC data. Haplotype analysis of the region showed a significant excess of rare haplotypes in the CRS population compared to the EUR population. Two missense mutations were also genotyped in the 310 CRS patients and 372 CRS-negative controls, but no associations with the disease were found. This is the first re-sequencing study in CRS research and also the first study to show an association of rare variants with the disease.

  12. A Comparison of Genetic Programming Variants for Hyper-Heuristics

    Energy Technology Data Exchange (ETDEWEB)

    Harris, Sean [Sandia National Lab. (SNL-NM), Albuquerque, NM (United States)

    2015-03-01

    Modern society is faced with ever more complex problems, many of which can be formulated as generate-and-test optimization problems. General-purpose optimization algorithms are not well suited for real-world scenarios where many instances of the same problem class need to be repeatedly and efficiently solved, such as routing vehicles over highways with constantly changing traffic flows, because they are not targeted to a particular scenario. Hyper-heuristics automate the design of algorithms to create a custom algorithm for a particular scenario. Hyper-heuristics typically employ Genetic Programming (GP) and this project has investigated the relationship between the choice of GP and performance in Hyper-heuristics. Results are presented demonstrating the existence of problems for which there is a statistically significant performance differential between the use of different types of GP.

  13. Penetrance of NOD2/CARD15 genetic variants in the general population

    DEFF Research Database (Denmark)

    Yazdanyar, Shiva; Kamstrup, Pia R; Tybjaerg-Hansen, Anne

    2010-01-01

    In case-control studies of Europeans, heterozygosity for Arg702Trp(rs2066844), Gly908Arg(rs2066845) and Leu1007fsinsC(rs5743293) on the NOD2/CARD15 gene is associated with a 2-fold greater risk of Crohn disease, whereas homozygosity or compound heterozygosity is associated with a 17-fold greater ...... risk. However, the importance of these genetic variants if identified in particular individuals within the general population is unknown. We undertook this study to estimate the penetrance of these variants in the general population....

  14. Genetic studies of the Macushi and Wapishana indians. I. Rare genetic variants and a private polymorphism of esterase A

    Energy Technology Data Exchange (ETDEWEB)

    Neel, J.V. (Univ. of Michigan, Ann Arbor); Tanis, R.J.; Migliazza, E.C.; Spielman, R.S.; Salzano, F.; Oliver, W.J.; Morrow, M.; Bachofer, S.

    1977-01-01

    Blood samples from 509 Macushi and 623 Wapishana Amerindians of Northern Brazil and Southern Guyana have been analyzed with reference to the occurrence of rare variants and genetic polymorphisms of the following 25 systems: Erythrocyte enzymes: acid phosphatase-1, adenosine deaminase, adenylate kinase-k, carbonic anhydrase-1, carbonic anhydrase-2, esterase A/sub 1/,/sub 2/,/sub 3/, esterase D, galactose-1-phosphate uridyltransferase, isocitrate dehydrogenase, lactate dehydrogenase, malate dehydrogenase, nucleoside phosphorylase, peptidase A, peptidase B, phosphoglucomutase 1, phosphoglucomutase 2, phosphogluconate dehydrogenase, phosphohexoseisomerase, trisephosphate isomerase and Serum proteins: albumin, ceruloplasmin, haptoglobin, hemoglobin A, hemoglobin A/sub 2/ and transferrin. Fifteen different rare variants were detected, involving 11 of these systems. In addition, a previously undescribed variant of ESA/sub 1/,/sub 2/,/sub 3/ which achieves polymorphic proportions in both these tribes is described. Excluding this variant, the frequency of rare variants is 1.1/1000 in 12,510 determinations in the Macushi and 4.7/1000 in 15,396 determinations in the Wapishana. The ESA/sub 1/,/sub 2/,/sub 3/ polymorphism was not observed in 382 Makiritare, 232 Yanomama, 146 Piaroa, 404 Cayapo, 190 Kraho and 112 Moro. Irregularities in the intratribal distribution of this polymorphism in the Macushi and Wapishana render a decision as to the tribe of origin impossible at present. Gene frequencies are also given for previously described polymorphisms of 5 systems: haptoglobin, phosphoglucomutase 1, erythrocyte acid phosphatase, esterase D, and galactose-1-phosphate-uridyl-transferase.

  15. Unraveling the regulatory mechanisms underlying tissue-dependent genetic variation of gene expression

    NARCIS (Netherlands)

    Fu, Jingyuan; Wolfs, Marcel G M; Deelen, Patrick; Westra, Harm Jan; Fehrmann, Rudolf S N; te Meerman, Gerhardus; Buurman, Wim A; Rensen, Sander S M; Groen, Hendricus; Weersma, Rinse K; van den Berg, Leonard H; Veldink, Jan; Ophoff, Roel A; Snieder, Harold; van Heel, David; Jansen, Ritsert C; Hofker, Marten H; Wijmenga, Cisca; Franke, Lude

    2012-01-01

    It is known that genetic variants can affect gene expression, but it is not yet completely clear through what mechanisms genetic variation mediate this expression. We therefore compared the cis-effect of single nucleotide polymorphisms (SNPs) on gene expression between blood samples from 1,240 human

  16. Genetic variants of CD209 associated with Kawasaki disease susceptibility.

    Directory of Open Access Journals (Sweden)

    Ho-Chang Kuo

    Full Text Available BACKGROUND: Kawasaki disease (KD is a systemic vasculitis with unknown etiology mainly affecting children in Asian countries. Dendritic cell-specific intercellular adhesion molecule-3 grabbing non-integrin (DC-SIGN, CD209 in humans was showed to trigger an anti-inflammatory cascade and associated with KD susceptibility. This study was conducted to investigate the association between genetic polymorphisms of CD209 and the risk KD. METHODS: A total of 948 subjects (381 KD and 567 controls were recruited. Nine tagging SNPs (rs8112310, rs4804800, rs11465421, rs1544766, rs4804801, rs2287886, rs735239, rs735240, rs4804804 were selected for TaqMan allelic discrimination assay. Clinical phenotypes, coronary artery lesions (CAL and intravenous immunoglobulin (IVIG treatment outcomes were collected for analysis. RESULTS: Significant associations were found between CD209 polymorphisms (rs4804800, rs2287886, rs735240 and the risk of KD. Haplotype analysis for CD209 polymorphisms showed that A/A/G haplotype (P = 0.0002, OR = 1.61 and G/A/G haplotype (P = 0.0365, OR = 1.52 had higher risk of KD as compared with G/G/A haplotype in rs2287886/rs735239/rs735240 pairwise allele analysis. There were no significant association in KD with regards to CAL formation and IVIG treatment responses. CONCLUSION: CD209 polymorphisms were responsible for the susceptibility of KD, but not CAL formation and IVIG treatment responsiveness.

  17. [Genetic tau-variants in patients with frontotemporal dementia].

    Science.gov (United States)

    Ibach, Bernd; Wittmann, Markus; Pfannenschmid, Frank; Poljansky, Stefan; Haen, Ekkehard; Hajak, Göran

    2004-11-01

    [corrected] To evaluate tau-associated genetic polymorphisms in patients with sporadic frontotemporal dementia (FTD) and healthy control subjects. Tau-gene sequence of 30 patients with FTD and 30 healthy controls was analysed by polymerase-chain-reaction (PCR). Subsequent sequencing was performed to identify exonic and intronic differences between both groups. The following polypmorphisms, which are localized closely to each exon-intron-border, have been identified: In 37 % (n = 11) of the control subjects three different intronic polymorphisms occur simultaneously (Intron 2, 263, C --> Y; Intron 3, 590, A --> R; Intron 11, 150, G --> A). In the FTD group, this coexistance has been observed only in 17 % (n = 5). In how far there exists a significant correlation between the newly identified triple polymorphism in the Tau gene and an alternated risk for FTD must be evaluated in a lager population. The proximity of these polymorphisms to the exon-intron border would facilitate functional influences on gene expression patterns. These preliminary results described, above potentially point to further pathogenetic factors in the genesis of FTD.

  18. Genetic variants in MTNR1B affecting insulin secretion.

    Science.gov (United States)

    Müssig, Karsten; Staiger, Harald; Machicao, Fausto; Häring, Hans-Ulrich; Fritsche, Andreas

    2010-09-01

    The incidence of type 2 diabetes mellitus has markedly increased worldwide over the past decades. Pancreatic beta-cell dysfunction as well as central and peripheral insulin resistance appears to be elementary features in the pathophysiology of type 2 diabetes mellitus. Major environmental conditions predisposing to the development of type 2 diabetes are excessive food intake and sedentary life-style on the background of a genetic predisposition. Recent genome-wide association studies identified several novel type 2 diabetes risk genes, with impaired pancreatic beta-cell function as the underlying mechanism of increased diabetes risk in the majority of genes. Many of the novel type 2 diabetes risk genes, including MTNR1B which encodes one of the two known human melatonin receptors, were unexpected at first glance. However, previous animal as well as human studies already pointed to a significant impact of the melatonin system on the regulation of glucose homeostasis, in addition to its well known role in modulation of sleep and circadian rhythms. This brief review aims to give an overview of how alterations in the melatonin system could contribute to an increased diabetes risk, paying special attention to the role of melatonin receptors in pancreatic beta-cell function.

  19. Are genetic variants of COMT associated with addiction?

    Science.gov (United States)

    Tammimäki, Anne Emilia; Männistö, Pekka T

    2010-12-01

    The human catechol-O-methyl transferase (COMT) gene contains multiple single-nucleotide polymorphisms, some of which are postulated to have clinical significance. This article reviews human studies that have explored the association between COMT polymorphisms and addiction to drugs, alcohol or tobacco. Most studies concentrate on the Val108/158Met polymorphism. Although there are reports indicating a positive association with COMT polymorphisms and addiction, the majority of the studies failed to detect such a link between them with one exception, smoking. It is unlikely that there would be any single gene that could be designated as 'the addiction gene'. Rather, there seems to be a great number of genes that are associated with addiction, among which COMT seems to have a minor role. Environmental factors and genetic milieu have a great impact on whether the small effects of COMT polymorphisms on risk of addiction can be detected in a given population. Sex differences complicate the gene-environment interplay even further.

  20. Genetic variants in IL-6/JAK/STAT3 pathway and the risk of CRC.

    Science.gov (United States)

    Wang, Shuwei; Zhang, Weidong

    2016-05-01

    Interleukin (IL)-6 and the downstream Janus kinase (JAK)/signal transducer and activator of transcription (STAT) pathway have previously been reported to be important in the development of colorectal cancer (CRC), and several studies have shown the relationship between the polymorphisms of related genes in this pathway with the risk of CRC. However, the findings of these related studies are inconsistent. Moreover, there has no systematic review and meta-analysis to evaluate the relationship between genetic variants in IL-6/JAK/STAT3 pathway and CRC susceptibility. Hence, we conducted a meta-analysis to explore the relationship between polymorphisms in IL-6/JAK/STAT3 pathway genes and CRC risk. Eighteen eligible studies with a total of 13,795 CRC cases and 18,043 controls were identified by searching PubMed, Web of Science, Embase, and the Cochrane Library databases for the period up to September 15, 2015. Odds ratios (ORs) and their 95 % confidence intervals (CIs) were used to calculate the strength of the association. Our results indicated that IL-6 genetic variants in allele additive model (OR = 1.05, 95 % CI = 1.00, 1.09) and JAK2 genetic variants (OR = 1.40, 95 % CI = 1.15, 1.65) in genotype recessive model were significantly associated with CRC risk. Moreover, the pooled data revealed that IL-6 rs1800795 polymorphism significantly increased the risk of CRC in allele additive model in Europe (OR = 1.07, 95 % CI = 1.01, 1.14). In conclusion, the present findings indicate that IL-6 and JAK2 genetic variants are associated with the increased risk of CRC while STAT3 genetic variants not. We need more well-designed clinical studies covering more countries and population to definitively establish the association between genetic variants in IL-6/JAK/STAT3 pathway and CRC susceptibility.

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

    Science.gov (United States)

    Eicher, John D.; Gruen, Jeffrey R.

    2013-01-01

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

  2. Current situation, genetic relationship and control measures of infectious bronchitis virus variants circulating in African regions

    Directory of Open Access Journals (Sweden)

    Khadija Khataby

    2016-08-01

    Three S1 gene hypervariable regions were studied and compared to the reference genotypes/serotypes that found emerging in African regions. This comparison was based on phylogenetic trees, nucleotide and amino-acid sequence analysis. It clearly appears that IBV variants reported in Africa, display a low genetic relationship between them and with the majority of the reference strains emerging in neighboring countries, except the case of variants from Libya and Egypt that show a high relatedness. Also the Massachusetts serotypes were the most prevalent co-circulating with both serotypes, Italy02 type in Morocco and Qx-like genotype in South part of the African continent. In order to control the IBV variants in African regions, an efficient vaccination strategy program should be implemented.

  3. Evaluation of type 2 diabetes genetic risk variants in Chinese adults

    DEFF Research Database (Denmark)

    Gan, Wei; Walters, Robin G; Holmes, Michael V

    2016-01-01

    AIMS/HYPOTHESIS: Genome-wide association studies (GWAS) have discovered many risk variants for type 2 diabetes. However, estimates of the contributions of risk variants to type 2 diabetes predisposition are often based on highly selected case-control samples, and reliable estimates of population-level...... effect sizes are missing, especially in non-European populations. METHODS: The individual and cumulative effects of 59 established type 2 diabetes risk loci were measured in a population-based China Kadoorie Biobank (CKB) study of 93,000 Chinese adults, including >7,100 diabetes cases. RESULTS......-control samples of GWAS meta-analyses (mean 19-22% decrease in log odds, p ≤ 0.0048), likely to reflect correction of both 'winner's curse' and spectrum bias effects. The association with risk of diabetes of a genetic risk score, based on lead variants at 25 loci considered to act through beta cell function...

  4. Anjozorobe hantavirus, a new genetic variant of Thailand virus detected in rodents from Madagascar.

    Science.gov (United States)

    Reynes, Jean-Marc; Razafindralambo, Nadia Kaloina; Lacoste, Vincent; Olive, Marie-Marie; Barivelo, Tony Andrianaivo; Soarimalala, Voahangy; Heraud, Jean-Michel; Lavergne, Anne

    2014-03-01

    Until now, there was only serological evidence that hantaviruses were circulating in rodents and infecting humans from Madagascar. To assess the presence of a hantavirus on the island, between October, 2008, and March, 2010, we sampled 585 rodents belonging to seven species in the Anjozorobe-Angavo forest corridor, 70 km north from the capital city Antananarivo. A hantavirus was detected from organs of the ubiquist roof rat (Rattus rattus) and of the endemic Major's tufted-tailed rat (Eliurus majori). Amazingly, sequence analysis of the S (small), M (medium), and L (large) coding DNA sequence of this virus showed that the Anjozorobe strain (proposed name) was a new genetic variant of Thailand virus (THAIV) that comprises other variants found in Southeast Asia. Because THAIV is suspected of causing hemorrhagic fever with renal syndrome in humans, ongoing studies are addressing the risk of infection by this new variant in the Malagasy population.

  5. Medical genomics: The intricate path from genetic variant identification to clinical interpretation

    Directory of Open Access Journals (Sweden)

    B. Quintáns

    2014-09-01

    A plethora of automated analysis software tools is being developed that will enhance efficiency and accuracy. However a risk of misinterpretation could derive from biased biorepository content, facilitated by annotation of variant functional consequences using previous datasets stored in the same or linked repositories. In order to improve variant interpretation and avoid an exponential accumulation of confounding noise in the medical literature, the use of terms in a standard way should be sought and requested when reporting genetic variants and their consequences. Generally, stepwise and linear interpretation processes are likely to overrate some pieces of evidence while underscoring others. Algorithms are needed that allow a multidimensional, parallel analysis of diverse lines of evidence to be carried out by expert teams for specific genes, cellular pathways or disorders.

  6. Genetic risk variants associated with in situ breast cancer.

    Science.gov (United States)

    Campa, Daniele; Barrdahl, Myrto; Gaudet, Mia M; Black, Amanda; Chanock, Stephen J; Diver, W Ryan; Gapstur, Susan M; Haiman, Christopher; Hankinson, Susan; Hazra, Aditi; Henderson, Brian; Hoover, Robert N; Hunter, David J; Joshi, Amit D; Kraft, Peter; Le Marchand, Loic; Lindström, Sara; Willett, Walter; Travis, Ruth C; Amiano, Pilar; Siddiq, Afshan; Trichopoulos, Dimitrios; Sund, Malin; Tjønneland, Anne; Weiderpass, Elisabete; Peeters, Petra H; Panico, Salvatore; Dossus, Laure; Ziegler, Regina G; Canzian, Federico; Kaaks, Rudolf

    2015-06-13

    Breast cancer in situ (BCIS) diagnoses, a precursor lesion for invasive breast cancer, comprise about 20 % of all breast cancers (BC) in countries with screening programs. Family history of BC is considered one of the strongest risk factors for BCIS. To evaluate the association of BC susceptibility loci with BCIS risk, we genotyped 39 single nucleotide polymorphisms (SNPs), associated with risk of invasive BC, in 1317 BCIS cases, 10,645 invasive BC cases, and 14,006 healthy controls in the National Cancer Institute's Breast and Prostate Cancer Cohort Consortium (BPC3). Using unconditional logistic regression models adjusted for age and study, we estimated the association of SNPs with BCIS using two different comparison groups: healthy controls and invasive BC subjects to investigate whether BCIS and BC share a common genetic profile. We found that five SNPs (CDKN2BAS-rs1011970, FGFR2-rs3750817, FGFR2-rs2981582, TNRC9-rs3803662, 5p12-rs10941679) were significantly associated with BCIS risk (P value adjusted for multiple comparisons <0.0016). Comparing invasive BC and BCIS, the largest difference was for CDKN2BAS-rs1011970, which showed a positive association with BCIS (OR = 1.24, 95 % CI: 1.11-1.38, P = 1.27 x 10(-4)) and no association with invasive BC (OR = 1.03, 95 % CI: 0.99-1.07, P = 0.06), with a P value for case-case comparison of 0.006. Subgroup analyses investigating associations with ductal carcinoma in situ (DCIS) found similar associations, albeit less significant (OR = 1.25, 95 % CI: 1.09-1.42, P = 1.07 x 10(-3)). Additional risk analyses showed significant associations with invasive disease at the 0.05 level for 28 of the alleles and the OR estimates were consistent with those reported by other studies. Our study adds to the knowledge that several of the known BC susceptibility loci are risk factors for both BCIS and invasive BC, with the possible exception of rs1011970, a putatively functional SNP situated in the CDKN2BAS gene that may be a specific

  7. VaRank: a simple and powerful tool for ranking genetic variants

    Directory of Open Access Journals (Sweden)

    Véronique Geoffroy

    2015-03-01

    Full Text Available Background. Most genetic disorders are caused by single nucleotide variations (SNVs or small insertion/deletions (indels. High throughput sequencing has broadened the catalogue of human variation, including common polymorphisms, rare variations or disease causing mutations. However, identifying one variation among hundreds or thousands of others is still a complex task for biologists, geneticists and clinicians. Results. We have developed VaRank, a command-line tool for the ranking of genetic variants detected by high-throughput sequencing. VaRank scores and prioritizes variants annotated either by Alamut Batch or SnpEff. A barcode allows users to quickly view the presence/absence of variants (with homozygote/heterozygote status in analyzed samples. VaRank supports the commonly used VCF input format for variants analysis thus allowing it to be easily integrated into NGS bioinformatics analysis pipelines. VaRank has been successfully applied to disease-gene identification as well as to molecular diagnostics setup for several hundred patients. Conclusions. VaRank is implemented in Tcl/Tk, a scripting language which is platform-independent but has been tested only on Unix environment. The source code is available under the GNU GPL, and together with sample data and detailed documentation can be downloaded from http://www.lbgi.fr/VaRank/.

  8. VaRank: a simple and powerful tool for ranking genetic variants.

    Science.gov (United States)

    Geoffroy, Véronique; Pizot, Cécile; Redin, Claire; Piton, Amélie; Vasli, Nasim; Stoetzel, Corinne; Blavier, André; Laporte, Jocelyn; Muller, Jean

    2015-01-01

    Background. Most genetic disorders are caused by single nucleotide variations (SNVs) or small insertion/deletions (indels). High throughput sequencing has broadened the catalogue of human variation, including common polymorphisms, rare variations or disease causing mutations. However, identifying one variation among hundreds or thousands of others is still a complex task for biologists, geneticists and clinicians. Results. We have developed VaRank, a command-line tool for the ranking of genetic variants detected by high-throughput sequencing. VaRank scores and prioritizes variants annotated either by Alamut Batch or SnpEff. A barcode allows users to quickly view the presence/absence of variants (with homozygote/heterozygote status) in analyzed samples. VaRank supports the commonly used VCF input format for variants analysis thus allowing it to be easily integrated into NGS bioinformatics analysis pipelines. VaRank has been successfully applied to disease-gene identification as well as to molecular diagnostics setup for several hundred patients. Conclusions. VaRank is implemented in Tcl/Tk, a scripting language which is platform-independent but has been tested only on Unix environment. The source code is available under the GNU GPL, and together with sample data and detailed documentation can be downloaded from http://www.lbgi.fr/VaRank/.

  9. A parallel attractor-finding algorithm based on Boolean satisfiability for genetic regulatory networks.

    Directory of Open Access Journals (Sweden)

    Wensheng Guo

    Full Text Available In biological systems, the dynamic analysis method has gained increasing attention in the past decade. The Boolean network is the most common model of a genetic regulatory network. The interactions of activation and inhibition in the genetic regulatory network are modeled as a set of functions of the Boolean network, while the state transitions in the Boolean network reflect the dynamic property of a genetic regulatory network. A difficult problem for state transition analysis is the finding of attractors. In this paper, we modeled the genetic regulatory network as a Boolean network and proposed a solving algorithm to tackle the attractor finding problem. In the proposed algorithm, we partitioned the Boolean network into several blocks consisting of the strongly connected components according to their gradients, and defined the connection between blocks as decision node. Based on the solutions calculated on the decision nodes and using a satisfiability solving algorithm, we identified the attractors in the state transition graph of each block. The proposed algorithm is benchmarked on a variety of genetic regulatory networks. Compared with existing algorithms, it achieved similar performance on small test cases, and outperformed it on larger and more complex ones, which happens to be the trend of the modern genetic regulatory network. Furthermore, while the existing satisfiability-based algorithms cannot be parallelized due to their inherent algorithm design, the proposed algorithm exhibits a good scalability on parallel computing architectures.

  10. A parallel attractor-finding algorithm based on Boolean satisfiability for genetic regulatory networks.

    Science.gov (United States)

    Guo, Wensheng; Yang, Guowu; Wu, Wei; He, Lei; Sun, Mingyu

    2014-01-01

    In biological systems, the dynamic analysis method has gained increasing attention in the past decade. The Boolean network is the most common model of a genetic regulatory network. The interactions of activation and inhibition in the genetic regulatory network are modeled as a set of functions of the Boolean network, while the state transitions in the Boolean network reflect the dynamic property of a genetic regulatory network. A difficult problem for state transition analysis is the finding of attractors. In this paper, we modeled the genetic regulatory network as a Boolean network and proposed a solving algorithm to tackle the attractor finding problem. In the proposed algorithm, we partitioned the Boolean network into several blocks consisting of the strongly connected components according to their gradients, and defined the connection between blocks as decision node. Based on the solutions calculated on the decision nodes and using a satisfiability solving algorithm, we identified the attractors in the state transition graph of each block. The proposed algorithm is benchmarked on a variety of genetic regulatory networks. Compared with existing algorithms, it achieved similar performance on small test cases, and outperformed it on larger and more complex ones, which happens to be the trend of the modern genetic regulatory network. Furthermore, while the existing satisfiability-based algorithms cannot be parallelized due to their inherent algorithm design, the proposed algorithm exhibits a good scalability on parallel computing architectures.

  11. Common genetic variants on 6q24 associated with exceptional episodic memory performance in the elderly

    DEFF Research Database (Denmark)

    Barral, Sandra; Cosentino, Stephanie; Christensen, Kaare;

    2014-01-01

    IMPORTANCE: There are genetic influences on memory ability as we age, but no specific genes have been identified. OBJECTIVE: To use a cognitive endophenotype, exceptional episodic memory (EEM) performance, derived from nondemented offspring from the Long Life Family Study (LLFS) to identify genetic...... variants that may be responsible for the high cognitive performance of LLFS participants and further replicate these variants using an additional 4006 nondemented individuals from 4 independent elderly cohorts. DESIGN, SETTING, AND PARTICIPANTS: A total of 467 LLFS participants from 18 families with 2...... or more offspring that exhibited exceptional memory performance were used for genome-wide linkage analysis. Adjusted multivariate linear analyses in the 40-megabase region encompassing the linkage peak were conducted using 4 independent replication data sets that included 4006 nondemented elderly...

  12. Genetic analysis of a transcriptional activation pathway by using hepatoma cell variants.

    Science.gov (United States)

    Bulla, G A; Fournier, R E

    1994-01-01

    A hierarchy of liver-enriched transcription factors plays an important role in activating expression of many hepatic genes. In particular, hepatocyte nuclear factor 4 (HNF-4) is a major activator of the gene encoding HNF-1, and HNF-1 itself activates expression of more than 20 liver genes. To dissect this activation pathway genetically, we prepared somatic cell variants that were deficient in expression of the liver-specific alpha 1-antitrypsin (alpha 1AT) gene, which requires both HNF-1 and HNF-4 for high-level gene activity. This was accomplished in two steps. First, hepatoma transfectants that stably expressed two selectable markers under alpha 1AT promoter control were prepared; second, variant sublines that could no longer express either transgene were isolated by direct selection. In this report, we demonstrate that the variants contain defects in the HNF-4/HNF-1 activation pathway. These defects functioned in trans, as expression of many liver genes was affected, but the variant phenotypes were recessive to wild type in somatic cell hybrids. Three different variant classes could be discriminated by their phenotypic responses to ectopic expression of either HNF-4 or HNF-1. Two variant clones appeared specifically deficient in HNF-4 expression, as transfection with an HNF-4 expression cassette fully restored their hepatic phenotypes. Another line activated HNF-1 in response to forced HNF-4 expression, but activation of downstream genes failed to occur. One clone was unresponsive to either HNF-1 or HNF-4. Using the variants, we demonstrate further that the chromosomal genes encoding alpha 1AT, aldolase B, and alpha-fibrinogen display strict requirements for HNF-1 activation in vivo, while other liver genes were unaffected by the presence or absence of HNF-1 or HNF-4. We also provide evidence for the existence of an autoregulatory loop in which HNF-1 regulates its own expression through activation of HNF-4. Images PMID:7935424

  13. Genetic variants of the DNA repair genes from Exome Aggregation Consortium (EXAC) database: significance in cancer.

    Science.gov (United States)

    Das, Raima; Ghosh, Sankar Kumar

    2017-04-01

    DNA repair pathway is a primary defense system that eliminates wide varieties of DNA damage. Any deficiencies in them are likely to cause the chromosomal instability that leads to cell malfunctioning and tumorigenesis. Genetic polymorphisms in DNA repair genes have demonstrated a significant association with cancer risk. Our study attempts to give a glimpse of the overall scenario of the germline polymorphisms in the DNA repair genes by taking into account of the Exome Aggregation Consortium (ExAC) database as well as the Human Gene Mutation Database (HGMD) for evaluating the disease link, particularly in cancer. It has been found that ExAC DNA repair dataset (which consists of 228 DNA repair genes) comprises 30.4% missense, 12.5% dbSNP reported and 3.2% ClinVar significant variants. 27% of all the missense variants has the deleterious SIFT score of 0.00 and 6% variants carrying the most damaging Polyphen-2 score of 1.00, thus affecting the protein structure and function. However, as per HGMD, only a fraction (1.2%) of ExAC DNA repair variants was found to be cancer-related, indicating remaining variants reported in both the databases to be further analyzed. This, in turn, may provide an increased spectrum of the reported cancer linked variants in the DNA repair genes present in ExAC database. Moreover, further in silico functional assay of the identified vital cancer-associated variants, which is essential to get their actual biological significance, may shed some lights in the field of targeted drug development in near future. Copyright © 2017. Published by Elsevier B.V.

  14. Accurate prediction of a minimal region around a genetic association signal that contains the causal variant.

    Science.gov (United States)

    Bochdanovits, Zoltán; Simón-Sánchez, Javier; Jonker, Marianne; Hoogendijk, Witte J; van der Vaart, Aad; Heutink, Peter

    2014-02-01

    In recent years, genome-wide association studies have been very successful in identifying loci for complex traits. However, typically these findings involve noncoding and/or intergenic SNPs without a clear functional effect that do not directly point to a gene. Hence, the challenge is to identify the causal variant responsible for the association signal. Typically, the first step is to identify all genetic variation in the locus region, usually by resequencing a large number of case chromosomes. Among all variants, the causal one needs to be identified in further functional studies. Because the experimental follow up can be very laborious, restricting the number of variants to be scrutinized can yield a great advantage. An objective method for choosing the size of the region to be followed up would be highly valuable. Here, we propose a simple method to call the minimal region around a significant association peak that is very likely to contain the causal variant. We model linkage disequilibrium (LD) in cases from the observed single SNP association signals, and predict the location of the causal variant by quantifying how well this relationship fits the data. Simulations showed that our approach identifies genomic regions of on average ∼50 kb with up to 90% probability to contain the causal variant. We apply our method to two genome-wide association data sets and localize both the functional variant REP1 in the α-synuclein gene that conveys susceptibility to Parkinson's disease and the APOE gene responsible for the association signal in the Alzheimer's disease data set.

  15. Genetic evidence and integration of various data sources for classifying uncertain variants into a single model.

    Science.gov (United States)

    Goldgar, David E; Easton, Douglas F; Byrnes, Graham B; Spurdle, Amanda B; Iversen, Edwin S; Greenblatt, Marc S

    2008-11-01

    Genetic testing often results in the finding of a variant whose clinical significance is unknown. A number of different approaches have been employed in the attempt to classify such variants. For some variants, case-control, segregation, family history, or other statistical studies can provide strong evidence of direct association with cancer risk. For most variants, other evidence is available that relates to properties of the protein or gene sequence. In this work we propose a Bayesian method for assessing the likelihood that a variant is pathogenic. We discuss the assessment of prior probability, and how to combine the various sources of data into a statistically valid integrated assessment with a posterior probability of pathogenicity. In particular, we propose the use of a two-component mixture model to integrate these various sources of data and to estimate the parameters related to sensitivity and specificity of specific kinds of evidence. Further, we discuss some of the issues involved in this process and the assumptions that underpin many of the methods used in the evaluation process.

  16. A new system identification approach to identify genetic variants in sequencing studies for a binary phenotype.

    Science.gov (United States)

    Kang, Guolian; Bi, Wenjian; Zhao, Yanlong; Zhang, Ji-Feng; Yang, Jun J; Xu, Heng; Loh, Mignon L; Hunger, Stephen P; Relling, Mary V; Pounds, Stanley; Cheng, Cheng

    2014-01-01

    We propose in this paper a set-valued (SV) system model, which is a generalized form of logistic (LG) and Probit (Probit) regression, to be considered as a method for discovering genetic variants, especially rare genetic variants in next-generation sequencing studies, for a binary phenotype. We propose a new SV system identification method to estimate all underlying key system parameters for the Probit model and compare it with the LG model in the setting of genetic association studies. Across an extensive series of simulation studies, the Probit method maintained type I error control and had similar or greater power than the LG method, which is robust to different distributions of noise: logistic, normal, or t distributions. Additionally, the Probit association parameter estimate was 2.7-46.8-fold less variable than the LG log-odds ratio association parameter estimate. Less variability in the association parameter estimate translates to greater power and robustness across the spectrum of minor allele frequencies (MAFs), and these advantages are the most pronounced for rare variants. For instance, in a simulation that generated data from an additive logistic model with an odds ratio of 7.4 for a rare single nucleotide polymorphism with a MAF of 0.005 and a sample size of 2,300, the Probit method had 60% power whereas the LG method had 25% power at the α = 10(-6) level. Consistent with these simulation results, the set of variants identified by the LG method was a subset of those identified by the Probit method in two example analyses. Thus, we suggest the Probit method may be a competitive alternative to the LG method in genetic association studies such as candidate gene, genome-wide, or next-generation sequencing studies for a binary phenotype.

  17. A New System Identification Approach to Identifying Genetic Variants in Sequencing Studies for A Binary Phenotype

    Science.gov (United States)

    Kang, Guolian; Bi, Wenjian; Zhao, Yanlong; Zhang, Ji-Feng; Yang, Jun J.; Xu, Heng; Loh, Mignon L.; Hunger, Stephen P.; Relling, Mary V.; Pounds, Stanley; Cheng, Cheng

    2014-01-01

    We propose in this paper a set-valued (SV) system model, which is a generalized form of Logistic (LG) and Probit (Probit) regression, to be considered as a method for discovering genetic variants, especially rare genetic variants in next generation sequencing studies, for a binary phenotype. We propose a new set-valued system identification method to estimate all the underlying key system parameters for the Probit model and compare it with the LG model in the setting of genetic association studies. Across an extensive series of simulation studies, the Probit method maintained Type I error control and had similar or greater power than the LG method which is robust to different distributions of noise: logistic, normal or t distributions. Additionally, the Probit association parameter estimate was 2.7–46.8 fold less variable than the LG log-odds ratio association parameter estimate. Less variability in the association parameter estimate translates to greater power and robustness across the spectrum of minor allele frequencies (MAFs), and these advantages are the most pronounced for rare variants. For instance, in a simulation that generated data from an additive logistic model with odds ratio of 7.4 for a rare single nucleotide polymorphism with a MAF of 0.005 and a sample size of 2300, the Probit method had 60% power whereas the LG method had 25% power at the α=10−6 level. Consistent with these simulation results, the set of variants identified by the LG method was a subset of those identified by the Probit method in two example analyses. Thus, we suggest the Probit method may be a competitive alternative to the LG method in genetic association studies such as candidate gene, genome-wide, or next generation sequencing studies for a binary phenotype. PMID:25096228

  18. If Racial disparity in pathophysiologic pathways of preterm birth based on genetic variants

    Directory of Open Access Journals (Sweden)

    Pearce Brad

    2009-06-01

    Full Text Available Abstract Objective To study pathophysiologic pathways in spontaneous preterm birth and possibly the racial disparity associating with maternal and fetal genetic variations, using bioinformatics tools. Methods A large scale candidate gene association study was performed on 1442 SNPs in 130 genes in a case (preterm birth 37 weeks. Both maternal and fetal DNA from Caucasians (172 cases and 198 controls and 279 African-Americans (82 cases and 197 controls were used. A single locus association (genotypic analysis followed by hierarchical clustering was performed, where clustering was based on p values for significant associations within each race. Using Ingenuity Pathway Analysis (IPA software, known pathophysiologic pathways in both races were determined. Results From all SNPs entered into the analysis, the IPA mapped genes to specific disease functions. Gene variants in Caucasians were implicated in disease functions shared with other known disorders; specifically, dermatopathy, inflammation, and hematological disorders. This may reflect abnormal cervical ripening and decidual hemorrhage. In African-Americans inflammatory pathways were the most prevalent. In Caucasians, maternal gene variants showed the most prominent role in disease functions, whereas in African Americans it was fetal variants. The IPA software was used to generate molecular interaction maps that differed between races and also between maternal and fetal genetic variants. Conclusion Differences at the genetic level revealed distinct disease functions and operational pathways in African Americans and Caucasians in spontaneous preterm birth. Differences in maternal and fetal contributions in pregnancy outcome are also different between African Americans and Caucasians. These results present a set of explicit testable hypotheses regarding genetic associations with preterm birth in African Americans and Caucasians

  19. Genetic Variants Related to Longer Telomere Length are Associated with Increased Risk of Renal Cell Carcinoma.

    Science.gov (United States)

    Machiela, Mitchell J; Hofmann, Jonathan N; Carreras-Torres, Robert; Brown, Kevin M; Johansson, Mattias; Wang, Zhaoming; Foll, Matthieu; Li, Peng; Rothman, Nathaniel; Savage, Sharon A; Gaborieau, Valerie; McKay, James D; Ye, Yuanqing; Henrion, Marc; Bruinsma, Fiona; Jordan, Susan; Severi, Gianluca; Hveem, Kristian; Vatten, Lars J; Fletcher, Tony; Koppova, Kvetoslava; Larsson, Susanna C; Wolk, Alicja; Banks, Rosamonde E; Selby, Peter J; Easton, Douglas F; Pharoah, Paul; Andreotti, Gabriella; Freeman, Laura E Beane; Koutros, Stella; Albanes, Demetrius; Mannisto, Satu; Weinstein, Stephanie; Clark, Peter E; Edwards, Todd E; Lipworth, Loren; Gapstur, Susan M; Stevens, Victoria L; Carol, Hallie; Freedman, Matthew L; Pomerantz, Mark M; Cho, Eunyoung; Kraft, Peter; Preston, Mark A; Wilson, Kathryn M; Gaziano, J Michael; Sesso, Howard S; Black, Amanda; Freedman, Neal D; Huang, Wen-Yi; Anema, John G; Kahnoski, Richard J; Lane, Brian R; Noyes, Sabrina L; Petillo, David; Colli, Leandro M; Sampson, Joshua N; Besse, Celine; Blanche, Helene; Boland, Anne; Burdette, Laurie; Prokhortchouk, Egor; Skryabin, Konstantin G; Yeager, Meredith; Mijuskovic, Mirjana; Ognjanovic, Miodrag; Foretova, Lenka; Holcatova, Ivana; Janout, Vladimir; Mates, Dana; Mukeriya, Anush; Rascu, Stefan; Zaridze, David; Bencko, Vladimir; Cybulski, Cezary; Fabianova, Eleonora; Jinga, Viorel; Lissowska, Jolanta; Lubinski, Jan; Navratilova, Marie; Rudnai, Peter; Szeszenia-Dabrowska, Neonila; Benhamou, Simone; Cancel-Tassin, Geraldine; Cussenot, Olivier; Bueno-de-Mesquita, H Bas; Canzian, Federico; Duell, Eric J; Ljungberg, Börje; Sitaram, Raviprakash T; Peters, Ulrike; White, Emily; Anderson, Garnet L; Johnson, Lisa; Luo, Juhua; Buring, Julie; Lee, I-Min; Chow, Wong-Ho; Moore, Lee E; Wood, Christopher; Eisen, Timothy; Larkin, James; Choueiri, Toni K; Lathrop, G Mark; Teh, Bin Tean; Deleuze, Jean-Francois; Wu, Xifeng; Houlston, Richard S; Brennan, Paul; Chanock, Stephen J; Scelo, Ghislaine; Purdue, Mark P

    2017-08-07

    Relative telomere length in peripheral blood leukocytes has been evaluated as a potential biomarker for renal cell carcinoma (RCC) risk in several studies, with conflicting findings. We performed an analysis of genetic variants associated with leukocyte telomere length to assess the relationship between telomere length and RCC risk using Mendelian randomization, an approach unaffected by biases from temporal variability and reverse causation that might have affected earlier investigations. Genotypes from nine telomere length-associated variants for 10 784 cases and 20 406 cancer-free controls from six genome-wide association studies (GWAS) of RCC were aggregated into a weighted genetic risk score (GRS) predictive of leukocyte telomere length. Odds ratios (ORs) relating the GRS and RCC risk were computed in individual GWAS datasets and combined by meta-analysis. Longer genetically inferred telomere length was associated with an increased risk of RCC (OR=2.07 per predicted kilobase increase, 95% confidence interval [CI]:=1.70-2.53, p0.5) with GWAS-identified RCC risk variants (rs10936599 and rs9420907) from the telomere length GRS; despite this exclusion, a statistically significant association between the GRS and RCC risk persisted (OR=1.73, 95% CI=1.36-2.21, pbody of evidence indicating some aspect of longer telomere length is important for RCC risk. Telomeres are segments of DNA at chromosome ends that maintain chromosomal stability. Our study investigated the relationship between genetic variants associated with telomere length and renal cell carcinoma risk. We found evidence suggesting individuals with inherited predisposition to longer telomere length are at increased risk of developing renal cell carcinoma. Published by Elsevier B.V.

  20. Assessing Genetic Variants of Uncertain Significance: The Example of Lynch Syndrome

    DEFF Research Database (Denmark)

    Rasmussen, Lene Juel; Heinen, Christopher D.

    2014-01-01

    variants of uncertain significance (VUS). This leads to anxiety in carriers and noncarrying relatives alike, as well as to an unnecessary burden to preventive healthcare. The establishment of procedures that enable the diagnostic assessment of VUSs in individuals are discussed and hereditary colorectal...... cancer syndrome, Lynch syndrome, is used as an example. This challenge is addressed by illustrating the importance of combining genetic and functional data in future strategies to assess VUS. The proposed strategies combine clinical genetic, analytical, functional and in silico approaches....

  1. In vitro evaluation of caseinophosphopeptides from different genetic variants on bone mineralization

    Directory of Open Access Journals (Sweden)

    Giovanni Tulipano

    2010-01-01

    Full Text Available Casein phosphopeptides (CPPs have been shown to enhance calcium solubility and to increase the calcification by in vitro analyses. The aim of our study was to investigate the effects of four selected casein peptides, which differ in the number of phosphorylated serines, on osteoblast mineralization in vitro. The chosen peptides, related to different casein genetic variants, were obtained by chemical synthesis and tested on murine osteoblast cell line (MC3T3-E1. Our results suggest that the distinct peptides in protein hydrolysates may differentially affect calcium deposition in the extracellular matrix and that the genetic variation within the considered peptides is involved in their differential effect.

  2. Perspective: Identification of genetic variants associated with dopaminergic compensatory mechanisms in early Parkinson's disease

    Directory of Open Access Journals (Sweden)

    Lior eGreenbaum

    2013-04-01

    Full Text Available Parkinson's disease (PD is slowly progressive, and heterogeneity of its severity among individuals may be due to endogenous mechanisms that counterbalance the striatal dopamine loss. In this perspective paper, we introduce a neuroimaging-genetic approach to identify genetic variants, which may contribute to this compensation. First, we briefly review current known potential compensatory mechanisms for premotor and early disease PD, located in the striatum and other brain regions. Then, we claim that a mismatch between mild symptomatic disease, manifested by low motor score on the Unified PD Rating Scale (UPDRS and extensive Nigro-Striatal degeneration, manifested by reduced uptake of [123I]FP-CIT is indicative of compensatory processes. If genetic variants are associated with the severity of motor symptoms, while the level of striatal terminals degeneration measured by ligand uptake is taken into account and controlled in the analysis, then these variants may be involved in functional compensatory mechanisms for striatal dopamine deficit. To demonstrate feasibility of this approach, we performed a small "proof of concept" study (candidate gene design in a sample of 28 Jewish PD patients, and preliminary results are presented.

  3. Identification and annotation of genetic variants (SNP/Indel) in Danish Jutland cattle

    DEFF Research Database (Denmark)

    Das, Ashutosh; Panitz, Frank; Holm, Lars-Erik

    We sequenced the whole-genome of a Danish Jutland bull to identify genetic variants (SNP/indel). Using UnifiedGenotyper from the Genome Analysis Toolkit (GATK), we identified 6,812,198 SNPs and 804,453 indels. There were 2,598,000 (38.1%) novel SNPs and 607,923(75.6%) novel indels while the remai......,122 indels in coding sequences, 832 predicted to cause frame shift, 89 predicted to be inframe insertion and 115 to be inframe deletion. We detected a higher level of genetic variation in the Jutland bull compared to similar data from Holstein cattle......We sequenced the whole-genome of a Danish Jutland bull to identify genetic variants (SNP/indel). Using UnifiedGenotyper from the Genome Analysis Toolkit (GATK), we identified 6,812,198 SNPs and 804,453 indels. There were 2,598,000 (38.1%) novel SNPs and 607,923(75.6%) novel indels while...... the remaining was annotated in dbSNP build 133. In-depth annotation of the variants revealed that 45,776 SNPs affected the coding sequences of 11,538 genes, 221 SNPs predicted to cause a premature stop codon, 17 to cause a gain in coding sequence and 20,828 predicted to be non-synonymous. We identified 1...

  4. Heritability estimates of the Big Five personality traits based on common genetic variants.

    Science.gov (United States)

    Power, R A; Pluess, M

    2015-07-14

    According to twin studies, the Big Five personality traits have substantial heritable components explaining 40-60% of the variance, but identification of associated genetic variants has remained elusive. Consequently, knowledge regarding the molecular genetic architecture of personality and to what extent it is shared across the different personality traits is limited. Using genomic-relatedness-matrix residual maximum likelihood analysis (GREML), we here estimated the heritability of the Big Five personality factors (extraversion, agreeableness, conscientiousness, neuroticism and openness for experience) in a sample of 5011 European adults from 527,469 single-nucleotide polymorphisms across the genome. We tested for the heritability of each personality trait, as well as for the genetic overlap between the personality factors. We found significant and substantial heritability estimates for neuroticism (15%, s.e. = 0.08, P = 0.04) and openness (21%, s.e. = 0.08, P agreeableness and conscientiousness. The bivariate analyses showed that the variance explained by common variants entirely overlapped between neuroticism and openness (rG = 1.00, P personality traits using the GREML approach. Findings should be considered exploratory and suggest that detectable heritability estimates based on common variants is shared between neuroticism and openness to experiences.

  5. A Genetic Variant Ameliorates β-Thalassemia Severity by Epigenetic-Mediated Elevation of Human Fetal Hemoglobin Expression.

    Science.gov (United States)

    Chen, Diyu; Zuo, Yangjin; Zhang, Xinhua; Ye, Yuhua; Bao, Xiuqin; Huang, Haiyan; Tepakhan, Wanicha; Wang, Lijuan; Ju, Junyi; Chen, Guangfu; Zheng, Mincui; Liu, Dun; Huang, Shuodan; Zong, Lu; Li, Changgang; Chen, Yajun; Zheng, Chenguang; Shi, Lihong; Zhao, Quan; Wu, Qiang; Fucharoen, Supan; Zhao, Cunyou; Xu, Xiangmin

    2017-07-06

    A delayed fetal-to-adult hemoglobin (Hb) switch ameliorates the severity of β-thalassemia and sickle cell disease. The molecular mechanism underlying the epigenetic dysregulation of the switch is unclear. To explore the potential cis-variants responsible for the Hb switching, we systematically analyzed an 80-kb region spanning the β-globin cluster using capture-based next-generation sequencing of 1142 Chinese β-thalassemia persons and identified 31 fetal hemoglobin (HbF)-associated haplotypes of the selected 28 tag regulatory single-nucleotide polymorphisms (rSNPs) in seven linkage disequilibrium (LD) blocks. A Ly1 antibody reactive (LYAR)-binding motif disruptive rSNP rs368698783 (G/A) from LD block 5 in the proximal promoter of hemoglobin subunit gamma 1 (HBG1) was found to be a significant predictor for β-thalassemia clinical severity by epigenetic-mediated variant-dependent HbF elevation. We found this rSNP accounted for 41.6% of β-hemoglobinopathy individuals as an ameliorating factor in a total of 2,738 individuals from southern China and Thailand. We uncovered that the minor allele of the rSNP triggers the attenuation of LYAR and two repressive epigenetic regulators DNA methyltransferase 3 alpha (DNMT3A) and protein arginine methyltransferase 5 (PRMT5) from the HBG promoters, mediating allele-biased γ-globin elevation by facilitating demethylation of HBG core promoter CpG sites in erythroid progenitor cells from β-thalassemia persons. The present study demonstrates that this common rSNP in the proximal (A)γ-promoter is a major genetic modifier capable of ameliorating the severity of thalassemia major through the epigenetic-mediated regulation of the delayed fetal-to-adult Hb switch and provides potential targets for the treatment of β-hemoglobinopathy. Copyright © 2017 American Society of Human Genetics. Published by Elsevier Inc. All rights reserved.

  6. Multiple genetic variant association testing by collapsing and kernel methods with pedigree or population structured data.

    Science.gov (United States)

    Schaid, Daniel J; McDonnell, Shannon K; Sinnwell, Jason P; Thibodeau, Stephen N

    2013-07-01

    Searching for rare genetic variants associated with complex diseases can be facilitated by enriching for diseased carriers of rare variants by sampling cases from pedigrees enriched for disease, possibly with related or unrelated controls. This strategy, however, complicates analyses because of shared genetic ancestry, as well as linkage disequilibrium among genetic markers. To overcome these problems, we developed broad classes of "burden" statistics and kernel statistics, extending commonly used methods for unrelated case-control data to allow for known pedigree relationships, for autosomes and the X chromosome. Furthermore, by replacing pedigree-based genetic correlation matrices with estimates of genetic relationships based on large-scale genomic data, our methods can be used to account for population-structured data. By simulations, we show that the type I error rates of our developed methods are near the asymptotic nominal levels, allowing rapid computation of P-values. Our simulations also show that a linear weighted kernel statistic is generally more powerful than a weighted "burden" statistic. Because the proposed statistics are rapid to compute, they can be readily used for large-scale screening of the association of genomic sequence data with disease status.

  7. Genetic characterization of Greek population isolates reveals strong genetic drift at missense and trait-associated variants.

    Science.gov (United States)

    Panoutsopoulou, Kalliope; Hatzikotoulas, Konstantinos; Xifara, Dionysia Kiara; Colonna, Vincenza; Farmaki, Aliki-Eleni; Ritchie, Graham R S; Southam, Lorraine; Gilly, Arthur; Tachmazidou, Ioanna; Fatumo, Segun; Matchan, Angela; Rayner, Nigel W; Ntalla, Ioanna; Mezzavilla, Massimo; Chen, Yuan; Kiagiadaki, Chrysoula; Zengini, Eleni; Mamakou, Vasiliki; Athanasiadis, Antonis; Giannakopoulou, Margarita; Kariakli, Vassiliki-Eirini; Nsubuga, Rebecca N; Karabarinde, Alex; Sandhu, Manjinder; McVean, Gil; Tyler-Smith, Chris; Tsafantakis, Emmanouil; Karaleftheri, Maria; Xue, Yali; Dedoussis, George; Zeggini, Eleftheria

    2014-01-01

    Isolated populations are emerging as a powerful study design in the search for low-frequency and rare variant associations with complex phenotypes. Here we genotype 2,296 samples from two isolated Greek populations, the Pomak villages (HELIC-Pomak) in the North of Greece and the Mylopotamos villages (HELIC-MANOLIS) in Crete. We compare their genomic characteristics to the general Greek population and establish them as genetic isolates. In the MANOLIS cohort, we observe an enrichment of missense variants among the variants that have drifted up in frequency by more than fivefold. In the Pomak cohort, we find novel associations at variants on chr11p15.4 showing large allele frequency increases (from 0.2% in the general Greek population to 4.6% in the isolate) with haematological traits, for example, with mean corpuscular volume (rs7116019, P=2.3 × 10(-26)). We replicate this association in a second set of Pomak samples (combined P=2.0 × 10(-36)). We demonstrate significant power gains in detecting medical trait associations.

  8. Functional analysis of a large set of BRCA2 exon 7 variants highlights the predictive value of hexamer scores in detecting alterations of exonic splicing regulatory elements.

    Science.gov (United States)

    Di Giacomo, Daniela; Gaildrat, Pascaline; Abuli, Anna; Abdat, Julie; Frébourg, Thierry; Tosi, Mario; Martins, Alexandra

    2013-11-01

    Exonic variants can alter pre-mRNA splicing either by changing splice sites or by modifying splicing regulatory elements. Often these effects are difficult to predict and are only detected by performing RNA analyses. Here, we analyzed, in a minigene assay, 26 variants identified in the exon 7 of BRCA2, a cancer predisposition gene. Our results revealed eight new exon skipping mutations in this exon: one directly altering the 5' splice site and seven affecting potential regulatory elements. This brings the number of splicing regulatory mutations detected in BRCA2 exon 7 to a total of 11, a remarkably high number considering the total number of variants reported in this exon (n = 36), all tested in our minigene assay. We then exploited this large set of splicing data to test the predictive value of splicing regulator hexamers' scores recently established by Ke et al. (). Comparisons of hexamer-based predictions with our experimental data revealed high sensitivity in detecting variants that increased exon skipping, an important feature for prescreening variants before RNA analysis. In conclusion, hexamer scores represent a promising tool for predicting the biological consequences of exonic variants and may have important applications for the interpretation of variants detected by high-throughput sequencing.

  9. Genetic variations and haplotypes of the 5' regulatory region of CYP2C19 in South Indian population.

    Science.gov (United States)

    Satyanarayana, Chakradhara Rao Uppugunduri; Devendran, Anichavezhi; Sundaram, Rajan; Gopal, Shewade Deepak; Rajagopal, Krishnamoorthy; Chandrasekaran, Adithan

    2009-01-01

    CYP2C19 is expressed polymorphically with about 21 variant alleles. Genotype-phenotype association studies of CYP2C19 have shown marked deviations, suggesting the presence of other variations in the intronic and 5' regulatory region affecting its expression. This study aims to identify the genetic polymorphisms and construction of haplotypes of variations in 5' regulatory region of CYP2C19 among the South Indian population. CYP2C19 5' regulatory region was amplified and sequenced from the DNA of 58 healthy volunteers of South Indian origin. Genetic analysis revealed the existence of 14 variations including eight novel ones in the 5' regulatory region. Identified novel variations and their percentage frequencies were: -779A>C (16.4), -828T>A (2.6), -934del>T (3.5), -1051T>C (1.72), -1289T>G (3.4), -1442T>C (12.1), -1498T>G (25.0) and -1558T>G (2.6). The reported variations found in the study population and their frequencies were: -98T>C (28.4), -806C>T (2.6), -833del>T (9.5), 889T>G (10.3), -1041A>G (100.0) and -1418C>T (1.7). The two known non synonymous single nucleotide polymorphisms, 681G>A ((*)2 allele) and 636G>A ((*)3 allele) were detected at 0.371 and 0.025 frequencies, respectively. Forty three haplotypes were constructed and linkage disequilibrium analysis showed strong linkage between several variations identified in the gene. Fourteen polymorphisms including 8 novel ones in CYP2C19 5' flanking region are reported for the first time in an Indian population from South India. Results from this study provide additional information for genotyping of CYP2C19 in the South Indian population and probably in the Indian population.

  10. Genetic Candidate Variants in Two Multigenerational Families with Childhood Apraxia of Speech.

    Science.gov (United States)

    Peter, Beate; Wijsman, Ellen M; Nato, Alejandro Q; Matsushita, Mark M; Chapman, Kathy L; Stanaway, Ian B; Wolff, John; Oda, Kaori; Gabo, Virginia B; Raskind, Wendy H

    2016-01-01

    Childhood apraxia of speech (CAS) is a severe and socially debilitating form of speech sound disorder with suspected genetic involvement, but the genetic etiology is not yet well understood. Very few known or putative causal genes have been identified to date, e.g., FOXP2 and BCL11A. Building a knowledge base of the genetic etiology of CAS will make it possible to identify infants at genetic risk and motivate the development of effective very early intervention programs. We investigated the genetic etiology of CAS in two large multigenerational families with familial CAS. Complementary genomic methods included Markov chain Monte Carlo linkage analysis, copy-number analysis, identity-by-descent sharing, and exome sequencing with variant filtering. No overlaps in regions with positive evidence of linkage between the two families were found. In one family, linkage analysis detected two chromosomal regions of interest, 5p15.1-p14.1, and 17p13.1-q11.1, inherited separately from the two founders. Single-point linkage analysis of selected variants identified CDH18 as a primary gene of interest and additionally, MYO10, NIPBL, GLP2R, NCOR1, FLCN, SMCR8, NEK8, and ANKRD12, possibly with additive effects. Linkage analysis in the second family detected five regions with LOD scores approaching the highest values possible in the family. A gene of interest was C4orf21 (ZGRF1) on 4q25-q28.2. Evidence for previously described causal copy-number variations and validated or suspected genes was not found. Results are consistent with a heterogeneous CAS etiology, as is expected in many neurogenic disorders. Future studies will investigate genome variants in these and other families with CAS.

  11. Genetic variants of methyl metabolizing enzymes and epigenetic regulators: Associations with promoter CpG island hypermethylation in colorectal cancer

    NARCIS (Netherlands)

    Vogel, S. de; Wouters, K.A.D.; Gottschalk, R.W.H.; Schooten, F.J. van; Goeij, A.F.P.M. de; Bruïne, A.P. de; Goldbohm, R.A.; Brandt, P.A. van den; Weijenberg, M.P.; Engeland, M. van

    2009-01-01

    Aberrant DNA methylation affects carcinogenesis of colorectal cancer. Folate metabolizing enzymes may influence the bioavailability of methyl groups, whereas DNA and histone methyltransferases are involved in epigenetic regulation of gene expression. We studied associations of genetic variants of fo

  12. Habitual sleep duration is associated with BMI and macronutrient intake and may be modified by CLOCK genetic variants

    DEFF Research Database (Denmark)

    Dashti, Hassan S; Follis, Jack L; Smith, Caren E

    2015-01-01

    BACKGROUND: Short sleep duration has been associated with greater risks of obesity, hypertension, diabetes, and cardiovascular disease. Also, common genetic variants in the human Circadian Locomotor Output Cycles Kaput (CLOCK) show associations with ghrelin and total energy intake. OBJECTIVES: We...

  13. Surveying genetic variants and molecular phylogeny of cerebral cavernous malformation gene, CCM3/PDCD10.

    Science.gov (United States)

    Kumar, Abhishek; Bhandari, Anita; Goswami, Chandan

    2014-12-01

    The three cerebral cavernous malformations (CCMs) genes namely CCM1/KRIT1, CCM2/MGC4607 and CCM3/PDCD10 have been identified for which mutations cause cerebral cavernous malformations. However, the protein products of these genes involved in forming CCM signaling, are still poorly understood imposing an urgent need to understand these genes and their signaling processes in details. So far involvement of CCM3/PDCD10 in the cavernous angioma has been characterized from biochemical and biophysical analyses. However, there is no comprehensive study illustrating the phylogenetic history and comprehensive genetic variants of CCM3/PDCD10. Herein, we explored the phylogenetic history and genetic variants of CCM3/PDCD10 gene. Synteny analyses revealed that CCM3/PDCD10 gene shared same genomic loci from Drosophila to human and the gene structure of CCM3/PDCD10 is conserved from human to Branchiostoma floridae for about 500 MYs with some changes in sea urchin and in insects. The conserved CCM3/PDCD10 is characterized by presence of indels in the N-terminal dimerization domain. We identified 951 CCM3/PDCD10 variants by analysis of 1092 human genomes with top three variation classes belongs to 84% SNPs, 6.9% insertions and 6.2% deletions. We identified 22 missense mutations in the human CCM3/PDCD10 protein and out of which three mutations are deleterious. We also identified four stop-codon gaining mutations at the positions E34*, E68*, E97* and E140*, respectively. This study is the first comprehensive analysis of the CCM3/PDCD10 gene based on phylogenetic origin and genetic variants. This study corroborates that the evolution of CCM proteins with tubular organization evolvements by endothelial cells.

  14. Vascular Genetic Variants and Ischemic Stroke Susceptibility in Albanians from the Republic of Macedonia

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    Bajram Kamberi

    2016-10-01

    Full Text Available BACKGROUND: Acute first-ever ischemic stroke (FIS is a heterogeneous, polygenic disorder. The contribution of vascular genetic variants as inherited causes of ischemic stroke has remained controversial. AIM: To examine the association of genetic variants in vascular factors with the occurrence of FIS. MATERIAL AND METHODS: The current research was performed in a group of 39 patients with FIS (study group and 102 healthy volunteers (control group. We analyzed the prevalence of vascular genetic variants in following genes: factor V, prothrombin, methylenetetrahydrofolate reductase (MTHFR, factor XIII, plasminogen activator 1, endothelial protein C receptor (EPCR, apolipoprotein B, apolipoprotein E, β-fibrinogen, human platelet antigen 1, angiotensin-converting enzyme (ACE, endothelial nitric oxide synthase (eNOS and lymphotoxin alpha. RESULTS: It was found that heterozygous LTA 804C>A and FXIII V34L Leu/Leu were significantly more frequent in patients with FIS than in control group (p = 0.036 and p = 0.017, respectively. The frequency of FXIII V34L Val/Val was significantly lower in patients with FIS than in control group (p = 0.020. Other frequencies of vascular gene variants in patients with FIS and in control group were not significantly different. CONCLUSIONS: This is the first comprehensive study to present data indicating that polymorphism of vascular genes in the prevalence of acute FIS exists in the Albanian population from the Republic of Macedonia. Variations in these genes have been detected in patients with acute FIS, suggesting that their combination might act in a susceptible or protective manner in this Albanian population.

  15. Genetic purgatory and the cardiac channelopathies: Exposing the variants of uncertain/unknown significance issue.

    Science.gov (United States)

    Ackerman, Michael J

    2015-11-01

    Merriam-Webster's online dictionary defines purgatory as "an intermediate state after death for expiatory purification" or more specifically as "a place or state of punishment wherein according to Roman Catholic doctrine the souls of those who die in God׳s grace may make satisfaction for past sins and so become fit for heaven." Alternatively, it is defined as "a place or state of temporary suffering or misery." Either way, purgatory is a place where you are stuck, and you don't want to be stuck there. It is in this context that the term genetic purgatory is introduced. Genetic purgatory is a place where the genetic test-ordering physician and patients and their families are stuck when a variant of uncertain/unknown significance (VUS) has been elucidated. It is in this dark place where suffering and misery are occurring because of unenlightened handling of a VUS, which includes using the VUS for predictive genetic testing and making radical treatment recommendations based on the presence or absence of a so-called maybe mutation. Before one can escape from this miserable place, one must first recognize that one is stuck there. Hence, the purpose of this review article is to fully expose the VUS issue as it relates to the cardiac channelopathies and make the cardiologists/geneticists/genetic counselors who order such genetic tests believers in genetic purgatory. Only then can one meaningfully attempt to get out of that place and seek to promote a VUS to disease-causative mutation status or demote it to an utterly innocuous and irrelevant variant. Copyright © 2015 Heart Rhythm Society. Published by Elsevier Inc. All rights reserved.

  16. Genetic variants involved in gallstone formation and capsaicin metabolism,and the risk of gallbladder cancer in Chilean women

    Institute of Scientific and Technical Information of China (English)

    Sergio; Báez; Yasuo; Tsuchiya; Alfonso; Calvo; Martha; Pruyas; Kazutoshi; Nakamura; Chikako; Kiyohara; Mari; Oyama; Masaharu; Yamamoto

    2010-01-01

    AIM:To determine the effects of genetic variants associated with gallstone formation and capsaicin (a pungent component of chili pepper) metabolism on the risk of gallbladder cancer (GBC).METHODS: A total of 57 patients with GBC, 119 patients with gallstones, and 70 controls were enrolled in this study. DNA was extracted from their blood or paraffi n block sample using standard commercial kits. The statuses of the genetic variants were assayed using Taqman SNP Genotyping Assays or Custom Taqman SNP Genotypi...

  17. Genetic variants influencing effectiveness of exercise training programmes in obesity - an overview of human studies.

    Science.gov (United States)

    Leońska-Duniec, A; Ahmetov, I I; Zmijewski, P

    2016-09-01

    Frequent and regular physical activity has significant benefits for health, including improvement of body composition and help in weight control. Consequently, promoting training programmes, particularly in those who are genetically predisposed, is a significant step towards controlling the presently increasing epidemic of obesity. Although the physiological responses of the human body to exercise are quite well described, the genetic background of these reactions still remains mostly unknown. This review not only summarizes the current evidence, through a literature review and the results of our studies on the influence of gene variants on the characteristics and range of the body's adaptive response to training, but also explores research organization problems, future trends, and possibilities. We describe the most reliable candidate genetic markers that are involved in energy balance pathways and body composition changes in response to training programmes, such as FTO, MC4R, ACE, PPARG, LEP, LEPR, ADRB2, and ADRB3. This knowledge can have an enormous impact not only on individualization of exercise programmes to make them more efficient and safer, but also on improved recovery, traumatology, medical care, diet, supplementation and many other areas. Nevertheless, the current studies still represent only the first steps towards a better understanding of the genetic factors that influence obesity-related traits, as well as gene variant x physical activity interactions, so further research is necessary.

  18. Constraints on Biological Mechanism from Disease Comorbidity Using Electronic Medical Records and Database of Genetic Variants.

    Directory of Open Access Journals (Sweden)

    Steven C Bagley

    2016-04-01

    Full Text Available Patterns of disease co-occurrence that deviate from statistical independence may represent important constraints on biological mechanism, which sometimes can be explained by shared genetics. In this work we study the relationship between disease co-occurrence and commonly shared genetic architecture of disease. Records of pairs of diseases were combined from two different electronic medical systems (Columbia, Stanford, and compared to a large database of published disease-associated genetic variants (VARIMED; data on 35 disorders were available across all three sources, which include medical records for over 1.2 million patients and variants from over 17,000 publications. Based on the sources in which they appeared, disease pairs were categorized as having predominant clinical, genetic, or both kinds of manifestations. Confounding effects of age on disease incidence were controlled for by only comparing diseases when they fall in the same cluster of similarly shaped incidence patterns. We find that disease pairs that are overrepresented in both electronic medical record systems and in VARIMED come from two main disease classes, autoimmune and neuropsychiatric. We furthermore identify specific genes that are shared within these disease groups.

  19. Variants of Interferon Regulatory Factor 5 are Associated with Neither Neuromyelitis Optica Nor Multiple Sclerosis in the Southeastern Han Chinese Population

    Directory of Open Access Journals (Sweden)

    Qi-Bing Liu

    2015-01-01

    Conclusions: Our preliminary study indicates that genetic variants in IRF5 may affect neither NMO nor MS in the Southeastern Han Chinese population. Further studies with a large sample size and diverse ancestry populations are needed to clarify this issue.

  20. Phenotype-Based Genetic Association Studies (PGAS)-Towards Understanding the Contribution of Common Genetic Variants to Schizophrenia Subphenotypes.

    Science.gov (United States)

    Ehrenreich, Hannelore; Nave, Klaus-Armin

    2014-02-27

    Neuropsychiatric diseases ranging from schizophrenia to affective disorders and autism are heritable, highly complex and heterogeneous conditions, diagnosed purely clinically, with no supporting biomarkers or neuroimaging criteria. Relying on these "umbrella diagnoses", genetic analyses, including genome-wide association studies (GWAS), were undertaken but failed to provide insight into the biological basis of these disorders. "Risk genotypes" of unknown significance with low odds ratios of mostly definition of biological subgroups of mental diseases. For that purpose, the GRAS (Göttingen Research Association for Schizophrenia) data collection was initiated in 2005. With >3000 phenotypical data points per patient, it comprises the world-wide largest currently available schizophrenia database (N > 1200), combining genome-wide SNP coverage and deep phenotyping under highly standardized conditions. First PGAS results on normal genetic variants, relevant for e.g., cognition or catatonia, demonstrated proof-of-concept. Presently, an autistic subphenotype of schizophrenia is being defined where an unfortunate accumulation of normal genotypes, so-called pro-autistic variants of synaptic genes, explains part of the phenotypical variance. Deep phenotyping and comprehensive clinical data sets, however, are expensive and it may take years before PGAS will complement conventional GWAS approaches in psychiatric genetics.

  1. A candidate gene approach identifies an IL33 genetic variant as a novel genetic risk factor for GCA.

    Directory of Open Access Journals (Sweden)

    Ana Márquez

    Full Text Available Increased expression of IL-33 and its receptor ST2, encoded by the IL1RL1 gene, has been detected in the inflamed arteries of giant cell arteritis (GCA patients. The aim of the present study was to investigate for the first time the potential influence of the IL33 and IL1RL1 loci on GCA predisposition.A total of 1,363 biopsy-proven GCA patients and 3,908 healthy controls from four European cohorts (Spain, Italy, Germany and Norway were combined in a meta-analysis. Six genetic variants: rs3939286, rs7025417 and rs7044343, within the IL33 gene, and rs2058660, rs2310173 and rs13015714, within the IL1RL1 gene, previously associated with immune-related diseases, were genotyped using predesigned TaqMan assays.A consistent association between the rs7025417 polymorphism and GCA was evident in the overall meta-analysis, under both allele (P(MH = 0.041, OR = 0.88, CI 95% 0.78-0.99 and recessive (P(MH = 3.40E-03, OR = 0.53, CI 95% 0.35-0.80 models. No statistically significant differences between allele or genotype frequencies for the other IL33 and IL1RL1 genetic variants were detected in this pooled analysis.Our results clearly evidenced the implication of the IL33 rs7025417 polymorphism in the genetic network underlying GCA.

  2. The Impact of PPARγ Genetic Variants on IBD Susceptibility and IBD Disease Course

    Directory of Open Access Journals (Sweden)

    Jessica Mwinyi

    2012-01-01

    Full Text Available PPARγ is a nuclear receptor that regulates numerous pathways including cytokine expression and immune responses and plays an important role in controlling colon inflammation. We aimed at determining the occurring PPARγ SNPs, at predicting the haplotypes, and at determining the frequency outcome in inflammatory bowel disease (IBD patients in comparison with healthy controls. We determined genetic variants in the coding exons and flanking intronic sequences of the NR1C3 gene in 284 IBD patients and 194 controls and predicted NR1C3 haplotypes via bioinformatic analysis. We investigated whether certain NR1C3 variants are associated with susceptibility to IBD or its disease course. None of the detected 22 NR1C3 variants were associated with IBD. Two variants with allelic frequencies over 1% were included in haplotype/diplotype analyses. None of the NR3C1 haplotypes showed association with IBD development or disease course. We conclude that NR1C3 haplotypes are not related to IBD susceptibility or IBD disease activity.

  3. Empirical Bayes scan statistics for detecting clusters of disease risk variants in genetic studies.

    Science.gov (United States)

    McCallum, Kenneth J; Ionita-Laza, Iuliana

    2015-12-01

    Recent developments of high-throughput genomic technologies offer an unprecedented detailed view of the genetic variation in various human populations, and promise to lead to significant progress in understanding the genetic basis of complex diseases. Despite this tremendous advance in data generation, it remains very challenging to analyze and interpret these data due to their sparse and high-dimensional nature. Here, we propose novel applications and new developments of empirical Bayes scan statistics to identify genomic regions significantly enriched with disease risk variants. We show that the proposed empirical Bayes methodology can be substantially more powerful than existing scan statistics methods especially so in the presence of many non-disease risk variants, and in situations when there is a mixture of risk and protective variants. Furthermore, the empirical Bayes approach has greater flexibility to accommodate covariates such as functional prediction scores and additional biomarkers. As proof-of-concept we apply the proposed methods to a whole-exome sequencing study for autism spectrum disorders and identify several promising candidate genes.

  4. Association of adiposity genetic variants with menarche timing in 92,105 women of European descent.

    Science.gov (United States)

    Fernández-Rhodes, Lindsay; Demerath, Ellen W; Cousminer, Diana L; Tao, Ran; Dreyfus, Jill G; Esko, Tõnu; Smith, Albert V; Gudnason, Vilmundur; Harris, Tamara B; Launer, Lenore; McArdle, Patrick F; Yerges-Armstrong, Laura M; Elks, Cathy E; Strachan, David P; Kutalik, Zoltán; Vollenweider, Peter; Feenstra, Bjarke; Boyd, Heather A; Metspalu, Andres; Mihailov, Evelin; Broer, Linda; Zillikens, M Carola; Oostra, Ben; van Duijn, Cornelia M; Lunetta, Kathryn L; Perry, John R B; Murray, Anna; Koller, Daniel L; Lai, Dongbing; Corre, Tanguy; Toniolo, Daniela; Albrecht, Eva; Stöckl, Doris; Grallert, Harald; Gieger, Christian; Hayward, Caroline; Polasek, Ozren; Rudan, Igor; Wilson, James F; He, Chunyan; Kraft, Peter; Hu, Frank B; Hunter, David J; Hottenga, Jouke-Jan; Willemsen, Gonneke; Boomsma, Dorret I; Byrne, Enda M; Martin, Nicholas G; Montgomery, Grant W; Warrington, Nicole M; Pennell, Craig E; Stolk, Lisette; Visser, Jenny A; Hofman, Albert; Uitterlinden, André G; Rivadeneira, Fernando; Lin, Peng; Fisher, Sherri L; Bierut, Laura J; Crisponi, Laura; Porcu, Eleonora; Mangino, Massimo; Zhai, Guangju; Spector, Tim D; Buring, Julie E; Rose, Lynda M; Ridker, Paul M; Poole, Charles; Hirschhorn, Joel N; Murabito, Joanne M; Chasman, Daniel I; Widen, Elisabeth; North, Kari E; Ong, Ken K; Franceschini, Nora

    2013-08-01

    Obesity is of global health concern. There are well-described inverse relationships between female pubertal timing and obesity. Recent genome-wide association studies of age at menarche identified several obesity-related variants. Using data from the ReproGen Consortium, we employed meta-analytical techniques to estimate the associations of 95 a priori and recently identified obesity-related (body mass index (weight (kg)/height (m)(2)), waist circumference, and waist:hip ratio) single-nucleotide polymorphisms (SNPs) with age at menarche in 92,116 women of European descent from 38 studies (1970-2010), in order to estimate associations between genetic variants associated with central or overall adiposity and pubertal timing in girls. Investigators in each study performed a separate analysis of associations between the selected SNPs and age at menarche (ages 9-17 years) using linear regression models and adjusting for birth year, site (as appropriate), and population stratification. Heterogeneity of effect-measure estimates was investigated using meta-regression. Six novel associations of body mass index loci with age at menarche were identified, and 11 adiposity loci previously reported to be associated with age at menarche were confirmed, but none of the central adiposity variants individually showed significant associations. These findings suggest complex genetic relationships between menarche and overall obesity, and to a lesser extent central obesity, in normal processes of growth and development.

  5. Association of apelin genetic variants with type 2 diabetes and related clinical features in Chinese Hans

    Institute of Scientific and Technical Information of China (English)

    ZHANG Rong; HU Cheng; WANG Cong-rong; MA Xiao-jing; BAO Yu-qian; XU Jing; LU Jing-yi; QIN Wen; XIANG Kun-san; JIA Wei-ping

    2009-01-01

    Background Apelin is an adipokine that contributes to the pathogenesis of type 2 diabetes. The plasma levels of apelin increased in obese patients and diabetic subjects. This study aimed to investigate the effects of apelin genetic variants on type 2 diabetes and related quantitative traits.Methods We selected three single nucleotide polymorphisms (SNPs) that could capture all common variants in APLN gene region and genotyped them in 1892 type 2 diabetic patients and 1808 normal glucose regulation controls. The clinical features related to glucose metabolism were measured in the controls. The comparison of allele and genotype distribution in the cases and controls were performed by using X2 tests. The association between SNPs and quantitative traits were analyzed using Wilcoxon's rank-sum test.Results None of the SNPs or haplotypes showed evidence of association to type 2 diabetes. However, rs2235306 was nominally associated with fasting plasma glucose levels in the male subjects with normal glucose regulation ((4.93±0.03)vs (5.01±0.03) mmol/L, P=0.04). No significant difference was observed between all three SNPs and other variables. Conclusions APLN SNP rs2235306 was associated with fasting plasma glucose levels in males. It suggests that APLN genetic variants may contribute to clinical features related to glucose metabolism in Chinese population.

  6. Genetic Polymorphisms Analysis of Pharmacogenomic VIP Variants in Miao Ethnic Group of Southwest China.

    Science.gov (United States)

    Jin, Tianbo; Aikemu, Ainiwaer; Zhang, Mingxi; Geng, Tingting; Feng, Tian; Kang, Longli; Luo, Man Lin

    2015-12-03

    BACKGROUND Genetic polymorphisms have a potential clinical role in determining both inter-individual and inter-ethnic differences in drug efficacy, but we have not found any pharmacogenomics information regarding minorities, such as the Miao ethnic group. Our study aimed to screen numbers of the Miao ethnic group for genotype frequencies of VIP variants and to determine differences between the Miao and other human populations worldwide. MATERIAL AND METHODS In this study, we genotyped 66 Very Important Pharmacogene (VIP) variants selected from PharmGKB in 98 unrelated, healthy Miao individuals from the Guizhou province and compared our data with 12 other populations, including 11 populations from the HapMap data set and Xi'an Han Chinese. RESULTS Using the χ2 test, we found that the allele frequencies of the VDR rs1544410 and VKORC1 (rs9934438) variants in the Miao population are quite different from that in other ethnic groups. Furthermore, we found that genotype frequencies of rs1801133 (MTHFR) in the 13 selected populations are significantly different. Population structure and F-statistics (Fst) analysis show that the genetic background of the Miao is relatively close to that of Chinese in metropolitan Denver, CO, USA (CHD). CONCLUSIONS Our results help complete the information provided by the pharmacogenomics database of the Miao ethnic group and provide a theoretical basis for safer drug administration, which may be useful for diagnosing and treating diseases in this population.

  7. Genetic variants of CC chemokine genes in experimental autoimmune encephalomyelitis, multiple sclerosis and rheumatoid arthritis

    DEFF Research Database (Denmark)

    Ockinger, J; Stridh, P; Beyeen, A D

    2010-01-01

    Multiple sclerosis (MS) is a complex disorder of the central nervous system, causing inflammation, demyelination and axonal damage. A limited number of genetic risk factors for MS have been identified, but the etiology of the disease remains largely unknown. For the identification of genes regula...... further identified association to rheumatoid arthritis in CCL2, CCL8 and CCL13, indicating common regulatory mechanisms for complex diseases.......Multiple sclerosis (MS) is a complex disorder of the central nervous system, causing inflammation, demyelination and axonal damage. A limited number of genetic risk factors for MS have been identified, but the etiology of the disease remains largely unknown. For the identification of genes...

  8. A genetic signature of spina bifida risk from pathway-informed comprehensive gene-variant analysis.

    Directory of Open Access Journals (Sweden)

    Nicholas J Marini

    Full Text Available Despite compelling epidemiological evidence that folic acid supplements reduce the frequency of neural tube defects (NTDs in newborns, common variant association studies with folate metabolism genes have failed to explain the majority of NTD risk. The contribution of rare alleles as well as genetic interactions within the folate pathway have not been extensively studied in the context of NTDs. Thus, we sequenced the exons in 31 folate-related genes in a 480-member NTD case-control population to identify the full spectrum of allelic variation and determine whether rare alleles or obvious genetic interactions within this pathway affect NTD risk. We constructed a pathway model, predetermined independent of the data, which grouped genes into coherent sets reflecting the distinct metabolic compartments in the folate/one-carbon pathway (purine synthesis, pyrimidine synthesis, and homocysteine recycling to methionine. By integrating multiple variants based on these groupings, we uncovered two provocative, complex genetic risk signatures. Interestingly, these signatures differed by race/ethnicity: a Hispanic risk profile pointed to alterations in purine biosynthesis, whereas that in non-Hispanic whites implicated homocysteine metabolism. In contrast, parallel analyses that focused on individual alleles, or individual genes, as the units by which to assign risk revealed no compelling associations. These results suggest that the ability to layer pathway relationships onto clinical variant data can be uniquely informative for identifying genetic risk as well as for generating mechanistic hypotheses. Furthermore, the identification of ethnic-specific risk signatures for spina bifida resonated with epidemiological data suggesting that the underlying pathogenesis may differ between Hispanic and non-Hispanic groups.

  9. Mapping genetic variants underlying differences in the central nitrogen metabolism in fermenter yeasts.

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    Matías Jara

    Full Text Available Different populations within a species represent a rich reservoir of allelic variants, corresponding to an evolutionary signature of withstood environmental constraints. Saccharomyces cerevisiae strains are widely utilised in the fermentation of different kinds of alcoholic beverages, such as, wine and sake, each of them derived from must with distinct nutrient composition. Importantly, adequate nitrogen levels in the medium are essential for the fermentation process, however, a comprehensive understanding of the genetic variants determining variation in nitrogen consumption is lacking. Here, we assessed the genetic factors underlying variation in nitrogen consumption in a segregating population derived from a cross between two main fermenter yeasts, a Wine/European and a Sake isolate. By linkage analysis we identified 18 main effect QTLs for ammonium and amino acids sources. Interestingly, majority of QTLs were involved in more than a single trait, grouped based on amino acid structure and indicating high levels of pleiotropy across nitrogen sources, in agreement with the observed patterns of phenotypic co-variation. Accordingly, we performed reciprocal hemizygosity analysis validating an effect for three genes, GLT1, ASI1 and AGP1. Furthermore, we detected a widespread pleiotropic effect on these genes, with AGP1 affecting seven amino acids and nine in the case of GLT1 and ASI1. Based on sequence and comparative analysis, candidate causative mutations within these genes were also predicted. Altogether, the identification of these variants demonstrate how Sake and Wine/European genetic backgrounds differentially consume nitrogen sources, in part explaining independently evolved preferences for nitrogen assimilation and representing a niche of genetic diversity for the implementation of practical approaches towards more efficient strains for nitrogen metabolism.

  10. Mapping genetic variants underlying differences in the central nitrogen metabolism in fermenter yeasts.

    Science.gov (United States)

    Jara, Matías; Cubillos, Francisco A; García, Verónica; Salinas, Francisco; Aguilera, Omayra; Liti, Gianni; Martínez, Claudio

    2014-01-01

    Different populations within a species represent a rich reservoir of allelic variants, corresponding to an evolutionary signature of withstood environmental constraints. Saccharomyces cerevisiae strains are widely utilised in the fermentation of different kinds of alcoholic beverages, such as, wine and sake, each of them derived from must with distinct nutrient composition. Importantly, adequate nitrogen levels in the medium are essential for the fermentation process, however, a comprehensive understanding of the genetic variants determining variation in nitrogen consumption is lacking. Here, we assessed the genetic factors underlying variation in nitrogen consumption in a segregating population derived from a cross between two main fermenter yeasts, a Wine/European and a Sake isolate. By linkage analysis we identified 18 main effect QTLs for ammonium and amino acids sources. Interestingly, majority of QTLs were involved in more than a single trait, grouped based on amino acid structure and indicating high levels of pleiotropy across nitrogen sources, in agreement with the observed patterns of phenotypic co-variation. Accordingly, we performed reciprocal hemizygosity analysis validating an effect for three genes, GLT1, ASI1 and AGP1. Furthermore, we detected a widespread pleiotropic effect on these genes, with AGP1 affecting seven amino acids and nine in the case of GLT1 and ASI1. Based on sequence and comparative analysis, candidate causative mutations within these genes were also predicted. Altogether, the identification of these variants demonstrate how Sake and Wine/European genetic backgrounds differentially consume nitrogen sources, in part explaining independently evolved preferences for nitrogen assimilation and representing a niche of genetic diversity for the implementation of practical approaches towards more efficient strains for nitrogen metabolism.

  11. DIXDC1 Phosphorylation and Control of Dendritic Morphology Are Impaired by Rare Genetic Variants

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    Vickie Kwan

    2016-11-01

    Full Text Available The development of neural connectivity is essential for brain function, and disruption of this process is associated with autism spectrum disorders (ASDs. DIX domain containing 1 (DIXDC1 has previously been implicated in neurodevelopmental disorders, but its role in postnatal brain function remains unknown. Using a knockout mouse model, we determined that DIXDC1 is a regulator of excitatory neuron dendrite development and synapse function in the cortex. We discovered that MARK1, previously linked to ASDs, phosphorylates DIXDC1 to regulate dendrite and spine development through modulation of the cytoskeletal network in an isoform-specific manner. Finally, rare missense variants in DIXDC1 were identified in ASD patient cohorts via genetic sequencing. Interestingly, the variants inhibit DIXDC1 isoform 1 phosphorylation, causing impairment to dendrite and spine growth. These data reveal that DIXDC1 is a regulator of cortical dendrite and synaptic development and provide mechanistic insight into morphological defects associated with neurodevelopmental disorders.

  12. Exploring the landscape of pathogenic genetic variation in the ExAC population database: insights of relevance to variant classification.

    Science.gov (United States)

    Song, Wei; Gardner, Sabrina A; Hovhannisyan, Hayk; Natalizio, Amanda; Weymouth, Katelyn S; Chen, Wenjie; Thibodeau, Ildiko; Bogdanova, Ekaterina; Letovsky, Stanley; Willis, Alecia; Nagan, Narasimhan

    2016-08-01

    We evaluated the Exome Aggregation Consortium (ExAC) database as a control cohort to classify variants across a diverse set of genes spanning dominant and recessively inherited disorders. The frequency of pathogenic variants in ExAC was compared with the estimated maximal pathogenic allele frequency (MPAF), based on the disease prevalence, penetrance, inheritance, allelic and locus heterogeneity of each gene. Additionally, the observed carrier frequency and the ethnicity-specific variant distribution were compared between ExAC and the published literature. The carrier frequency and ethnic distribution of pathogenic variants in ExAC were concordant with reported estimates. Of 871 pathogenic/likely pathogenic variants across 19 genes, only 3 exceeded the estimated MPAF. Eighty-four percent of variants with ExAC frequencies above the estimated MPAF were classified as "benign." Additionally, 20% of the cardiac and 19% of the Lynch syndrome gene variants originally classified as "VUS" occurred with ExAC frequencies above the estimated MPAF, making these suitable for reassessment. The ExAC database is a useful source for variant classification and is not overrepresented for pathogenic variants in the genes evaluated. However, the mutational spectrum, pseudogenes, genetic heterogeneity, and paucity of literature should be considered in deriving meaningful classifications using ExAC.Genet Med 18 8, 850-854.

  13. Characterization and genetic analysis of bovine alpha S1-casein I variant.

    Science.gov (United States)

    Lühken, G; Caroli, A; Ibeagha-Awemu, E M; Erhardt, G

    2009-08-01

    The aim of this study was to identify the molecular genetic origin underlying the I variant of alpha(s1)-casein and to develop a DNA-based test for this polymorphism as a tool for genetic analyses independent of milk sample testing. All coding exons and flanking regions of the alpha(s1)-casein gene were sequenced in DNA samples from cattle of known alpha(s1)-casein genotypes (BI, CI, II, CC), determined by isoelectric focusing of milk samples. A nucleotide substitution (A>T) in exon 11 (g.19836A>T) leads to the exchange of Glu with Asp at amino acid position 84 of the mature protein (p.Glu84Asp) and perfectly co-segregated with the presence of the alpha(s1)-casein I variant in the milk of the analysed animals. Genotyping of a total of 680 DNA samples from 31 Bos taurus and Bos indicus cattle breeds and from Bos grunniens, Bison bison and Bison bonasus by restriction fragment length polymorphism analysis revealed the occurrence of Asp at position 84 at low frequencies in Bos taurus and Bos indicus breeds and established its origin from the alpha(s1)-casein C variant (p.Glu192Gly). Ten different intragenic haplotypes in the gene region from intron 8 to intron 12 were observed by sequencing, of which two occurred in Bison bison and one in Bison bonasus only. Using available casein gene complex information, an association of Asp at position 84 to beta-casein A(2) and kappa-casein B was shown in the Bos indicus breed Banyo Gudali. Taken together, we can postulate that the alpha(s1)-casein variant I is caused by a non-synonymous nucleotide substitution in exon 11 of the gene and that it originated within Bos indicus and spread to Bos taurus subsequently.

  14. Genetic divergence of Chikungunya virus plaque variants from the Comoros Island (2005).

    Science.gov (United States)

    Wasonga, Caroline; Inoue, Shingo; Rumberia, Cecilia; Michuki, George; Kimotho, James; Ongus, Juliette R; Sang, Rosemary; Musila, Lillian

    2015-12-01

    Chikungunya virus (CHIKV) from a human sample collected during the 2005 Chikungunya outbreak in the Comoros Island, showed distinct and reproducible large (L2) and small (S7) plaques which were characterized in this study. The parent strain and plaque variants were analysed by in vitro growth kinetics in different cell lines and their genetic similarity assessed by whole genome sequencing, comparative sequence alignment and phylogenetic analysis. In vitro growth kinetic assays showed similar growth patterns of both plaque variants in Vero cells but higher viral titres of S7 compared to L2 in C6/36 cells. Amino acids (AA) alignments of the CHIKV plaque variants and S27 African prototype strain, showed 30 AA changes in the non-structural proteins (nsP) and 22 AA changes in the structural proteins. Between L2 and S7, only two AAs differences were observed. A missense substitution (C642Y) of L2 in the nsP2, involving a conservative AA substitution and a nonsense substitution (R524X) of S7 in the nsP3, which has been shown to enhance O'nyong-nyong virus infectivity and dissemination in Anopheles mosquitoes. The phenotypic difference observed in plaque size could be attributed to one of these AA substitutions. Phylogenetic analysis showed that the parent strain and its variants clustered closely together with each other and with Indian Ocean CHIKV strains indicating circulation of isolates with close evolutionary relatedness in the same outbreak. These observations pave way for important functional studies to understand the significance of the identified genetic changes in virulence and viral transmission in mosquito and mammalian hosts.

  15. Genetic variation of the RASGRF1 regulatory region affects human hippocampus-dependent memory

    Directory of Open Access Journals (Sweden)

    Adriana eBarman

    2014-04-01

    Full Text Available The guanine nucleotide exchange factor RASGRF1 is an important regulator of intracellular signaling and neural plasticity in the brain. RASGRF1-deficient mice exhibit a complex phenotype with learning deficits and ocular abnormalities. Also in humans, a genome-wide association study has identified the single nucleotide polymorphism (SNP rs8027411 in the putative transcription regulatory region of RASGRF1 as a risk variant of myopia. Here we aimed to assess whether, in line with the RASGRF1 knockout mouse phenotype, rs8027411 might also be associated with human memory function. We performed computer-based neuropsychological learning experiments in two independent cohorts of young, healthy participants. Tests included the Verbal Learning and Memory Test (VLMT and the logical memory section of the Wechsler Memory Scale (WMS. Two sub-cohorts additionally participated in functional magnetic resonance imaging (fMRI studies of hippocampus function. 119 participants performed a novelty encoding task that had previously been shown to engage the hippocampus, and 63 subjects participated in a reward-related memory encoding study. RASGRF1 rs8027411 genotype was indeed associated with memory performance in an allele dosage-dependent manner, with carriers of the T allele (i.e. the myopia risk allele showing better memory performance in the early encoding phase of the VLMT and in the recall phase of the WMS logical memory section. In fMRI, T allele carriers exhibited increased hippocampal activation during presentation of novel images and during encoding of pictures associated with monetary reward. Taken together, our results provide evidence for a role of the RASGRF1 gene locus in hippocampus-dependent memory and, along with the previous association with myopia, point towards pleitropic effects of RASGRF1 genetic variations on complex neural function in humans.

  16. Genetic variants associated with subjective well-being, depressive symptoms, and neuroticism identified through genome-wide analyses

    DEFF Research Database (Denmark)

    Okbay, Aysu; Baselmans, Bart M L; De Neve, Jan-Emmanuel

    2016-01-01

    Very few genetic variants have been associated with depression and neuroticism, likely because of limitations on sample size in previous studies. Subjective well-being, a phenotype that is genetically correlated with both of these traits, has not yet been studied with genome-wide data. We conducted...... genome-wide association studies of three phenotypes: subjective well-being (n = 298,420), depressive symptoms (n = 161,460), and neuroticism (n = 170,911). We identify 3 variants associated with subjective well-being, 2 variants associated with depressive symptoms, and 11 variants associated...... with neuroticism, including 2 inversion polymorphisms. The two loci associated with depressive symptoms replicate in an independent depression sample. Joint analyses that exploit the high genetic correlations between the phenotypes (|ρ^| ≈ 0.8) strengthen the overall credibility of the findings and allow us...

  17. Working-memory endophenotype and dyslexia-associated genetic variant predict dyslexia phenotype.

    Science.gov (United States)

    Männel, Claudia; Meyer, Lars; Wilcke, Arndt; Boltze, Johannes; Kirsten, Holger; Friederici, Angela D

    2015-10-01

    Developmental dyslexia, a severe impairment of literacy acquisition, is known to have a neurological basis and a strong genetic background. However, effects of individual genetic variations on dyslexia-associated deficits are only moderate and call for the assessment of the genotype's impact on mediating neuro-endophenotypes by the imaging genetics approach. Using voxel-based morphometry (VBM) in German participants with and without dyslexia, we investigated gray matter changes and their association with impaired phonological processing, such as reduced verbal working memory. These endophenotypical alterations were, together with dyslexia-associated genetic variations, examined on their suitability as potential predictors of dyslexia. We identified two gray matter clusters in the left posterior temporal cortex related to verbal working memory capacity. Regional cluster differences correlated with genetic risk variants in TNFRSF1B. High-genetic-risk participants exhibit a structural predominance of auditory-association areas relative to auditory-sensory areas, which may partly compensate for deficient early auditory-sensory processing stages of verbal working memory. The reverse regional predominance observed in low-genetic-risk participants may in turn reflect reliance on these early auditory-sensory processing stages. Logistic regression analysis further supported that regional gray matter differences and genetic risk interact in the prediction of individuals' diagnostic status: With increasing genetic risk, the working-memory related structural predominance of auditory-association areas relative to auditory-sensory areas classifies participants with dyslexia versus control participants. Focusing on phonological deficits in dyslexia, our findings suggest endophenotypical changes in the left posterior temporal cortex could comprise novel pathomechanisms for verbal working memory-related processes translating TNFRSF1B genotype into the dyslexia phenotype.

  18. Identification of Genetic Variants Linking Protein C and Lipoprotein Metabolism: The ARIC Study (Atherosclerosis Risk in Communities).

    Science.gov (United States)

    Pankow, James S; Tang, Weihong; Pankratz, Nathan; Guan, Weihua; Weng, Lu-Chen; Cushman, Mary; Boerwinkle, Eric; Folsom, Aaron R

    2017-03-01

    Previous studies have identified common genetic variants in 4 chromosomal regions that together account for 14% to 15% of the variance in circulating levels of protein C. To further characterize the genetic architecture of protein C, we obtained denser coverage at some loci, extended investigation of protein C to low-frequency and rare variants, and searched for new associations in genes known to influence protein C. Genetic associations with protein C antigen level were evaluated in ≤10 778 European and 3190 black participants aged 45 to 64 years. Analyses included >26 million autosomal variants available after imputation to the 1000 Genomes reference panel along with additional low-frequency and rare variants directly genotyped using the Illumina ITMAT-Broad-CARe chip and Illumina HumanExome BeadChip. Genome-wide significant associations (PC level in both whites and blacks, reaching genome-wide significance in a meta-analysis combining results from both groups (P=1.4×10(-9)). To further investigate a possible link between lipid metabolism and protein C level, we conducted Mendelian randomization analyses using 185 lipid-related genetic variants as instrumental variables. The results indicated that triglycerides, and possibly low-density lipoprotein cholesterol, influence protein C levels. Discovery of variants influencing circulating protein C levels in the CELSR2-PSRC1-SORT1 region may indicate a novel genetic link between lipoprotein metabolism and hemostasis. © 2017 American Heart Association, Inc.

  19. Association between LDL-cholesterol lowering genetic variants and risk of type 2 diabetes

    Science.gov (United States)

    Lotta, Luca A.; Sharp, Stephen. J; Burgess, Stephen; Perry, John R. B.; Stewart, Isobel. D; Willems, Sara M.; Luan, Jian’an; Ardanaz, Eva; Arriola, Larraitz; Balkau, Beverley; Boeing, Heiner; Deloukas, Panos; Forouhi, Nita G; Franks, Paul W; Grioni, Sara; Kaaks, Rudolf; Key, Timothy J; Navarro, Carmen; Nilsson, Peter M; Overvad, Kim; Palli, Domenico; Panico, Salvatore; Quirós, Jose-Ramón; Riboli, Elio; Rolandsson, Olov; Sacerdote, Carlotta; Salamanca, Elena C; Slimani, Nadia; Spijkerman, Annemieke MW; Tjonneland, Anne; Tumino, Rosario; van der A, Daphne L; van der Schouw, Yvonne T; McCarthy, Mark I.; Barroso, Inês; O’Rahilly, Stephen; Savage, David. B; Sattar, Naveed; Langenberg, Claudia

    2017-01-01

    Importance Low-density lipoprotein (LDL) cholesterol-lowering alleles in or near NPC1L1 or HMGCR, encoding the respective molecular targets of ezetimibe and statins, have previously been used as proxies to study the efficacy of these lipid-lowering drugs. Alleles near HMGCR are associated with a higher risk of type 2 diabetes, mimicking the increased incidence of new-onset diabetes associated with statin treatment in randomized clinical trials. It is unknown whether alleles near NPC1L1 are also associated with the risk of type 2 diabetes. Objective To investigate whether LDL-lowering alleles in or near NPC1L1 and other genes encoding current or prospective molecular targets of lipid-lowering therapy (i.e. HMGCR, PCSK9, ABCG5/G8, LDLR) are associated with the risk of type 2 diabetes. Design, Setting and Participants The associations with type 2 diabetes and coronary artery disease of LDL-lowering genetic variants were investigated in meta-analyses of genetic association studies. Meta-analyses included 50,775 individuals with type 2 diabetes and 270,269 controls including three studies and 60,801 individuals with coronary artery disease and 123,504 controls from a published meta-analysis. Data collection took place in Europe and the United States between 1991 and 2016. Exposure LDL-lowering alleles in or near NPC1L1, HMGCR, PCSK9, ABCG5/G8, LDLR. Main Outcomes and Measures Odds ratio of type 2 diabetes and coronary artery disease. Results LDL-lowering genetic variants at NPC1L1 were inversely associated with coronary artery disease (odds ratio for a genetically-predicted reduction of 1 mmol/L in LDL cholesterol, 0.61; 95% confidence interval, 0.42-0.88; p=0.008) and directly associated with type 2 diabetes (2.42, 1.70-3.43; p<0.001). The odds ratio of type 2 diabetes for PCSK9 genetic variants was 1.19 (95% confidence interval, 1.02-1.38, p=0.03). For a given reduction in LDL cholesterol, genetic variants were associated with a similar reduction in coronary artery

  20. Joint genetic analysis using variant sets reveals polygenic gene-context interactions.

    Directory of Open Access Journals (Sweden)

    Francesco Paolo Casale

    2017-04-01

    Full Text Available Joint genetic models for multiple traits have helped to enhance association analyses. Most existing multi-trait models have been designed to increase power for detecting associations, whereas the analysis of interactions has received considerably less attention. Here, we propose iSet, a method based on linear mixed models to test for interactions between sets of variants and environmental states or other contexts. Our model generalizes previous interaction tests and in particular provides a test for local differences in the genetic architecture between contexts. We first use simulations to validate iSet before applying the model to the analysis of genotype-environment interactions in an eQTL study. Our model retrieves a larger number of interactions than alternative methods and reveals that up to 20% of cases show context-specific configurations of causal variants. Finally, we apply iSet to test for sub-group specific genetic effects in human lipid levels in a large human cohort, where we identify a gene-sex interaction for C-reactive protein that is missed by alternative methods.

  1. Association of established hypothyroidism-associated genetic variants with Hashimoto's thyroiditis.

    Science.gov (United States)

    Barić, A; Brčić, L; Gračan, S; Torlak Lovrić, V; Gunjača, I; Šimunac, M; Brekalo, M; Boban, M; Polašek, O; Barbalić, M; Zemunik, T; Punda, A; Boraska Perica, V

    2017-04-05

    Hashimoto's thyroiditis (HT) as a chronic autoimmune disease of the thyroid gland is the most common cause of hypothyroidism. Since HT and hypothyroidism are closely related, the main aim of this study was to explore the association of established hypothyroidism single-nucleotide polymorphisms (SNPs) with HT. The case-control dataset included 200 HT cases and 304 controls. Diagnosis of HT cases was based on clinical examination, measurement of thyroid antibodies (TgAb, TPOAb), hormones (TSH and FT4) and ultrasound examination. We genotyped and analysed 11 known hypothyroidism-associated genetic variants. Case-control association analysis was performed in order to test each SNP for the association with HT using logistic regression model. Additionally, each SNP was tested for the association with thyroid-related quantitative traits (TPOAb levels, TgAb levels and thyroid volume) in HT cases only using linear regression. We identified two genetic variants nominally associated with HT rs3184504 in SH2B3 gene (P = 0.0135, OR = 0.74, 95% CI = 0.57-0.95) and rs4704397 in PDE8B gene (P = 0.0383, OR = 1.32, 95% CI = 1.01-1.74). The SH2B3 genetic variant also showed nominal association with TPOAb levels (P = 0.0163, β = -0.46) and rs4979402 inside DFNB31 gene was nominally associated with TgAb levels (P = 0.0443, β = 0.41). SH2B3 gene has previously been associated with susceptibility to several autoimmune diseases, whereas PDE8B has been associated with TSH levels and suggested to modulate thyroid physiology that may influence the manifestation of thyroid disease. Identified loci are novel and biologically plausible candidates for HT development and represent good basis for further exploration of HT susceptibility.

  2. Draft genome of the sea cucumber Apostichopus japonicus and genetic polymorphism among color variants.

    Science.gov (United States)

    Jo, Jihoon; Oh, Jooseong; Lee, Hyun-Gwan; Hong, Hyun-Hee; Lee, Sung-Gwon; Cheon, Seongmin; Kern, Elizabeth M A; Jin, Soyeong; Cho, Sung-Jin; Park, Joong-Ki; Park, Chungoo

    2017-01-01

    The Japanese sea cucumber (Apostichopus japonicus Selenka 1867) is an economically important species as a source of seafood and ingredient in traditional medicine. It is mainly found off the coasts of northeast Asia. Recently, substantial exploitation and widespread biotic diseases in A. japonicus have generated increasing conservation concern. However, the genomic knowledge base and resources available for researchers to use in managing this natural resource and to establish genetically based breeding systems for sea cucumber aquaculture are still in a nascent stage. A total of 312 Gb of raw sequences were generated using the Illumina HiSeq 2000 platform and assembled to a final size of 0.66 Gb, which is about 80.5% of the estimated genome size (0.82 Gb). We observed nucleotide-level heterozygosity within the assembled genome to be 0.986%. The resulting draft genome assembly comprising 132 607 scaffolds with an N50 value of 10.5 kb contains a total of 21 771 predicted protein-coding genes. We identified 6.6-14.5 million heterozygous single nucleotide polymorphisms in the assembled genome of the three natural color variants (green, red, and black), resulting in an estimated nucleotide diversity of 0.00146. We report the first draft genome of A. japonicus and provide a general overview of the genetic variation in the three major color variants of A. japonicus. These data will help provide a comprehensive view of the genetic, physiological, and evolutionary relationships among color variants in A. japonicus, and will be invaluable resources for sea cucumber genomic research. © The Author 2017. Published by Oxford University Press.

  3. Effect of genetic variants associated with plasma homocysteine levels on stroke risk.

    Science.gov (United States)

    Cotlarciuc, Ioana; Malik, Rainer; Holliday, Elizabeth G; Ahmadi, Kourosh R; Paré, Guillaume; Psaty, Bruce M; Fornage, Myriam; Hasan, Nazeeha; Rinne, Paul E; Ikram, M Arfan; Markus, Hugh S; Rosand, Jonathan; Mitchell, Braxton D; Kittner, Steven J; Meschia, James F; van Meurs, Joyce B J; Uitterlinden, Andre G; Worrall, Bradford B; Dichgans, Martin; Sharma, Pankaj

    2014-07-01

    Elevated total plasma homocysteine (tHcy) levels are known to be associated with increased risk of ischemic stroke (IS). Given that both tHcy and IS are heritable traits, we investigated a potential genetic relationship between homocysteine levels and stroke risk by assessing 18 polymorphisms previously associated with tHcy levels for their association with IS and its subtypes. Previous meta-analysis results from an international stroke collaborative network, METASTROKE, were used to assess association of the 18 tHcy-associated single-nucleotide polymorphisms (SNPs) in 12 389 IS cases and 62 004 controls. We also investigated the associations in regions located within 50 kb from the 18 tHcy-related SNPs and the association of a genetic risk score, including the 18 SNPs. One SNP located in the RASIP1 gene and a cluster of 3 SNPs located at and near SLC17A3 were significantly associated with IS (Pstroke subtypes, the sentinel SNP located upstream of MUT was significantly associated with small-vessel disease (P=0.0022), whereas 1 SNP located in MTHFR was significantly associated with large-vessel disease (P=0.00019). A genetic risk score, including the 18 SNPs, did not show significant association with IS or its subtypes. This study found several potential associations with IS and its subtypes: an association of an MUT variant with small-vessel disease, an MTHFR variant with large-vessel disease, and associations of RASIP1 and SLC17A3 variants with overall IS. © 2014 American Heart Association, Inc.

  4. FTO genetic variants, dietary intake and body mass index: insights from 177 330 individuals

    Science.gov (United States)

    Qi, Qibin; Kilpeläinen, Tuomas O.; Downer, Mary K.; Tanaka, Toshiko; Smith, Caren E.; Sluijs, Ivonne; Sonestedt, Emily; Chu, Audrey Y.; Renström, Frida; Lin, Xiaochen; Ängquist, Lars H.; Huang, Jinyan; Liu, Zhonghua; Li, Yanping; Asif Ali, Muhammad; Xu, Min; Ahluwalia, Tarunveer Singh; Boer, Jolanda M.A.; Chen, Peng; Daimon, Makoto; Eriksson, Johan; Perola, Markus; Friedlander, Yechiel; Gao, Yu-Tang; Heppe, Denise H.M.; Holloway, John W.; Houston, Denise K.; Kanoni, Stavroula; Kim, Yu-Mi; Laaksonen, Maarit A.; Jääskeläinen, Tiina; Lee, Nanette R.; Lehtimäki, Terho; Lemaitre, Rozenn N.; Lu, Wei; Luben, Robert N.; Manichaikul, Ani; Männistö, Satu; Marques-Vidal, Pedro; Monda, Keri L.; Ngwa, Julius S.; Perusse, Louis; van Rooij, Frank J.A.; Xiang, Yong-Bing; Wen, Wanqing; Wojczynski, Mary K; Zhu, Jingwen; Borecki, Ingrid B.; Bouchard, Claude; Cai, Qiuyin; Cooper, Cyrus; Dedoussis, George V.; Deloukas, Panos; Ferrucci, Luigi; Forouhi, Nita G.; Hansen, Torben; Christiansen, Lene; Hofman, Albert; Johansson, Ingegerd; Jørgensen, Torben; Karasawa, Shigeru; Khaw, Kay-Tee; Kim, Mi-Kyung; Kristiansson, Kati; Li, Huaixing; Lin, Xu; Liu, Yongmei; Lohman, Kurt K.; Long, Jirong; Mikkilä, Vera; Mozaffarian, Dariush; North, Kari; Pedersen, Oluf; Raitakari, Olli; Rissanen, Harri; Tuomilehto, Jaakko; van der Schouw, Yvonne T.; Uitterlinden, André G.; Zillikens, M. Carola; Franco, Oscar H.; Shyong Tai, E.; Ou Shu, Xiao; Siscovick, David S.; Toft, Ulla; Verschuren, W.M. Monique; Vollenweider, Peter; Wareham, Nicholas J.; Witteman, Jacqueline C.M.; Zheng, Wei; Ridker, Paul M.; Kang, Jae H.; Liang, Liming; Jensen, Majken K.; Curhan, Gary C.; Pasquale, Louis R.; Hunter, David J.; Mohlke, Karen L.; Uusitupa, Matti; Cupples, L. Adrienne; Rankinen, Tuomo; Orho-Melander, Marju; Wang, Tao; Chasman, Daniel I.; Franks, Paul W.; Sørensen, Thorkild I.A.; Hu, Frank B.; Loos, Ruth J. F.; Nettleton, Jennifer A.; Qi, Lu

    2014-01-01

    FTO is the strongest known genetic susceptibility locus for obesity. Experimental studies in animals suggest the potential roles of FTO in regulating food intake. The interactive relation among FTO variants, dietary intake and body mass index (BMI) is complex and results from previous often small-scale studies in humans are highly inconsistent. We performed large-scale analyses based on data from 177 330 adults (154 439 Whites, 5776 African Americans and 17 115 Asians) from 40 studies to examine: (i) the association between the FTO-rs9939609 variant (or a proxy single-nucleotide polymorphism) and total energy and macronutrient intake and (ii) the interaction between the FTO variant and dietary intake on BMI. The minor allele (A-allele) of the FTO-rs9939609 variant was associated with higher BMI in Whites (effect per allele = 0.34 [0.31, 0.37] kg/m2, P = 1.9 × 10−105), and all participants (0.30 [0.30, 0.35] kg/m2, P = 3.6 × 10−107). The BMI-increasing allele of the FTO variant showed a significant association with higher dietary protein intake (effect per allele = 0.08 [0.06, 0.10] %, P = 2.4 × 10−16), and relative weak associations with lower total energy intake (−6.4 [−10.1, −2.6] kcal/day, P = 0.001) and lower dietary carbohydrate intake (−0.07 [−0.11, −0.02] %, P = 0.004). The associations with protein (P = 7.5 × 10−9) and total energy (P = 0.002) were attenuated but remained significant after adjustment for BMI. We did not find significant interactions between the FTO variant and dietary intake of total energy, protein, carbohydrate or fat on BMI. Our findings suggest a positive association between the BMI-increasing allele of FTO variant and higher dietary protein intake and offer insight into potential link between FTO, dietary protein intake and adiposity. PMID:25104851

  5. THE INFLUENCE OF GENETIC VARIANTS OF κ-CASEIN ON MILK COMPONENTS

    Directory of Open Access Journals (Sweden)

    Juraj Čuboň

    2013-10-01

    Full Text Available Milk production of 22 cows of Slovak Pied breed with Holstein-Friesian was analyzed according to the genetic variants of the polymorphic proteins determined by starch gel electrophoresis. The effect of genetic variants of the proteins was analyzed by selected properties of milk (milk yield, proteins, fats and lactose. Differences between the productive characters in testing groups were evaluated according to statistic method of t-test. Evaluation was carried out during throughout lactation. Based on the analyses we have obtained results frequency of genotypes: κ-CN AA in 9 cows (41%, AB in 12 cows (54.5% and BB in one cow, which is 4.5%. The average daily milk production of κ-CN AA was 13.5 l/day and in κ-CN AB 14.2 l/day. Contents of protein of genetic variation κ-CN AA was 3.1% in milk genotype κ-CN AB was found not significant lower protein proportion 3.0%. Based on the analyses, we can assume that cow’s nutrition higher influence the increase in the proportion of protein than polymorphism of κ-CN. In our research was found out the average fat content 4.0% in genetic variation of κ-CN AA and not significant lower in genetic variation κ-CN AB 3.8%. The average lactose content in the cow’s milk with κ-CN AA genotype was 4.9% and κ-CN AB was 5.0%. The difference between fat content wasn’t statistically significant.

  6. Oxidative Stress-Related Genetic Variants May Modify Associations of Phthalate Exposures with Asthma

    Science.gov (United States)

    Wang, I-Jen; Karmaus, Wilfried J. J.

    2017-01-01

    Background: Phthalate exposure may increase the risk of asthma. Little is known about whether oxidative-stress related genes may alter this association. First, this motivated us to investigate whether genetic polymorphisms of the oxidative-stress related genes glutathione S-transferase Mu 1 (GSTM1), glutathione S-transferase pi 1 (GSTP1), superoxide dismutase 2 (SOD2), catalase (CAT), myeloperoxidase (MPO), and EPHX1 in children are associated with phthalate urine concentrations. Second, we addressed the question whether these genes may affect the influence of phthalates on asthma. Methods: In a case-control study composed of 126 asthmatic children and 327 controls, urine phthalate metabolites (monoethyl phthalate (MEP), monobutyl phthalate (MBP), monobenzyl phthalate (MBzP), and mono(2-ethyl-5-hydroxyhexyl)phthalate (MEHHP) were measured by UPLC-MS/MS at age 3. Genetic variants were analyzed by TaqMan assay. Information on asthma and environmental exposures was also collected. Analyses of variance and logistic regressions were performed. Results: Urine MEHHP levels were associated with asthma (adjusted OR 1.33, 95% CI (1.11–1.60). Children with the GSTP1 (rs1695) AA and SOD2 (rs5746136) TT genotypes had higher MEHHP levels as compared to GG and CC types, respectively. Since only SOD2 TT genotype was significantly associated with asthma (adjusted OR (95% CI): 2.78 (1.54–5.02)), we estimated whether SOD2 variants modify the association of MEHHP levels and asthma. As MEHHP concentrations were dependent on GSTP1 and SOD2, but the assessment of interaction requires independent variables, we estimated MEHHP residuals and assessed their interaction, showing that the OR for SOD2 TT was further elevated to 3.32 (1.75–6.32) when the residuals of MEHHP were high. Conclusions: Urine phthalate metabolite concentrations are associated with oxidative-stress related genetic variants. Genetic variants of SOD2, considered to be reflect oxidative stress metabolisms, might

  7. Genetic risk factors for the posterior cortical atrophy variant of Alzheimer's disease

    OpenAIRE

    Schott, Jonathan M.; Crutch, Sebastian J.; Carrasquillo, Minerva M.; Uphill, James; Shakespeare, Tim J.; Ryan, Natalie S; Yong, Keir X. X.; Lehmann, Manja; Ertekin-Taner, Nilufer; Graff-Radford, Neil R.; Boeve, Bradley F.; Murray, Melissa E.; Khan, Qurat ul Ain; Petersen, Ronald C.; Dickson, Dennis W.

    2016-01-01

    INTRODUCTION: The genetics underlying posterior cortical atrophy (PCA), typically a rare variant of Alzheimer's disease (AD), remain uncertain.METHODS: We genotyped 302 PCA patients from 11 centers, calculated risk at 24 loci for AD/DLB and performed an exploratory genome-wide association study.RESULTS: We confirm that variation in/near APOE/TOMM40 (P = 6 × 10(-14)) alters PCA risk, but with smaller effect than for typical AD (PCA: odds ratio [OR] = 2.03, typical AD: OR = 2.83, P = .0007). We...

  8. Modifier effects between regulatory and protein-coding variation.

    Directory of Open Access Journals (Sweden)

    Antigone S Dimas

    2008-10-01

    Full Text Available Genome-wide associations have shown a lot of promise in dissecting the genetics of complex traits in humans with single variants, yet a large fraction of the genetic effects is still unaccounted for. Analyzing genetic interactions between variants (epistasis is one of the potential ways forward. We investigated the abundance and functional impact of a specific type of epistasis, namely the interaction between regulatory and protein-coding variants. Using genotype and gene expression data from the 210 unrelated individuals of the original four HapMap populations, we have explored the combined effects of regulatory and protein-coding single nucleotide polymorphisms (SNPs. We predict that about 18% (1,502 out of 8,233 nsSNPs of protein-coding variants are differentially expressed among individuals and demonstrate that regulatory variants can modify the functional effect of a coding variant in cis. Furthermore, we show that such interactions in cis can affect the expression of downstream targets of the gene containing the protein-coding SNP. In this way, a cis interaction between regulatory and protein-coding variants has a trans impact on gene expression. Given the abundance of both types of variants in human populations, we propose that joint consideration of regulatory and protein-coding variants may reveal additional genetic effects underlying complex traits and disease and may shed light on causes of differential penetrance of known disease variants.

  9. Modifier effects between regulatory and protein-coding variation.

    Science.gov (United States)

    Dimas, Antigone S; Stranger, Barbara E; Beazley, Claude; Finn, Robert D; Ingle, Catherine E; Forrest, Matthew S; Ritchie, Matthew E; Deloukas, Panos; Tavaré, Simon; Dermitzakis, Emmanouil T

    2008-10-01

    Genome-wide associations have shown a lot of promise in dissecting the genetics of complex traits in humans with single variants, yet a large fraction of the genetic effects is still unaccounted for. Analyzing genetic interactions between variants (epistasis) is one of the potential ways forward. We investigated the abundance and functional impact of a specific type of epistasis, namely the interaction between regulatory and protein-coding variants. Using genotype and gene expression data from the 210 unrelated individuals of the original four HapMap populations, we have explored the combined effects of regulatory and protein-coding single nucleotide polymorphisms (SNPs). We predict that about 18% (1,502 out of 8,233 nsSNPs) of protein-coding variants are differentially expressed among individuals and demonstrate that regulatory variants can modify the functional effect of a coding variant in cis. Furthermore, we show that such interactions in cis can affect the expression of downstream targets of the gene containing the protein-coding SNP. In this way, a cis interaction between regulatory and protein-coding variants has a trans impact on gene expression. Given the abundance of both types of variants in human populations, we propose that joint consideration of regulatory and protein-coding variants may reveal additional genetic effects underlying complex traits and disease and may shed light on causes of differential penetrance of known disease variants.

  10. Genetic variants associated with subjective well-being, depressive symptoms, and neuroticism identified through genome-wide analyses

    NARCIS (Netherlands)

    A. Okbay (Aysu); Baselmans, B.M.L. (Bart M.L.); J.E. de Neve (Jan-Emmanuel); P. Turley (Patrick); M. Nivard (Michel); Fontana, M.A. (Mark Alan); Meddens, S.F.W. (S. Fleur W.); Linnér, R.K. (Richard Karlsson); Rietveld, C.A. (Cornelius A); J. Derringer; J. Gratten (Jacob); J.J. Lee (James J.); Liu, J.Z. (Jimmy Z); R. De Vlaming (Ronald); SAhluwalia, T. (Tarunveer); Buchwald, J. (Jadwiga); A. Cavadino (Alana); A.C. Frazier-Wood (Alexis C.); Furlotte, N.A. (Nicholas A); Garfield, V. (Victoria); Geisel, M.H. (Marie Henrike); J.R. Gonzalez (Juan R.); Haitjema, S. (Saskia); R. Karlsson (Robert); Der Laan, S.W. (Sander Wvan); K.-H. Ladwig (Karl-Heinz); J. Lahti (Jari); S. van der Lee (Sven); P.A. Lind (Penelope); Liu, T. (Tian); Matteson, L. (Lindsay); E. Mihailov (Evelin); M. Miller (Mike); CMinica, C. (Camelia); MNolte, I. (Ilja); D.O. Mook-Kanamori (Dennis); P.J. van der Most (Peter); C. Oldmeadow (Christopher); Y. Qian (Yong); O. Raitakari (Olli); R. Rawal (R.); A. Realo; Rueedi, R. (Rico); Schmidt, B. (Börge); A.V. Smith (Albert Vernon); E. Stergiakouli (Evangelia); T. Tanaka (Toshiko); K.D. Taylor (Kent); Wedenoja, J. (Juho); Wellmann, J. (Juergen); H.J. Westra (Harm-Jan); MWillems, S. (Sara); Zhao, W. (Wei); L.C. Study (LifeLines Cohort); N. Amin (Najaf); Bakshi, A. (Andrew); P.A. Boyle (Patricia); Cherney, S. (Samantha); Cox, S.R. (Simon R); G. Davies (Gail); O.S.P. Davis (Oliver S.); J. Ding (Jun); N. Direk (Nese); Eibich, P. (Peter); R. Emeny (Rebecca); Fatemifar, G. (Ghazaleh); J.D. Faul; L. Ferrucci (Luigi); A.J. Forstner; C. Gieger (Christian); Gupta, R. (Richa); T.B. Harris (Tamara B.); J.M. Harris (Juliette); E.G. Holliday (Elizabeth); J.J. Hottenga (Jouke Jan); P.L. de Jager (Philip); M. Kaakinen (Marika); E. Kajantie (Eero); Karhunen, V. (Ville); I. Kolcic (Ivana); M. Kumari (Meena); L.J. Launer (Lenore); L. Franke (Lude); Li-Gao, R. (Ruifang); Koini, M. (Marisa); A. Loukola (Anu); P. Marques-Vidal; G.W. Montgomery (Grant); M. Mosing (Miriam); L. Paternoster (Lavinia); A. Pattie (Alison); K. Petrovic (Katja); Pulkki-R'back, L. (Laura); L. Quaye (Lydia); R'ikkönen, K. (Katri); I. Rudan (Igor); R. Scott (Rodney); J.A. Smith (Jennifer A); A.R. Sutin; Trzaskowski, M. (Maciej); Vinkhuyze, A.E. (Anna E.); L. Yu (Lei); D. Zabaneh (Delilah); J. Attia (John); D.A. Bennett (David A.); Berger, K. (Klaus); L. Bertram (Lars); D.I. Boomsma (Dorret); H. Snieder (Harold); Chang, S.-C. (Shun-Chiao); F. Cucca (Francesco); I.J. Deary (Ian J.); C.M. van Duijn (Cock); K. Hagen (Knut); U. Bültmann (Ute); E.J. Geus (Eeco); P.J.F. Groenen (Patrick); V. Gudnason (Vilmundur); T. Hansen (T.); Hartman, C.A. (Catharine A); C.M.A. Haworth (Claire M.); C. Hayward (Caroline); A.C. Heath (Andrew C.); D.A. Hinds (David A.); E. Hypponen (Elina); W.G. Iacono (William); M.-R. Jarvelin (Marjo-Riitta); K.-H. JöCkel (Karl-Heinz); J. Kaprio (Jaakko); S.L.R. Kardia (Sharon); Keltikangas-J'rvinen, L. (Liisa); P. Kraft (Peter); Kubzansky, L.D. (Laura D.); Lehtim'ki, T. (Terho); P.K. Magnusson (Patrik); N.G. Martin (Nicholas); M. McGue (Matt); A. Metspalu (Andres); M. Mills (Melinda); R. de Mutsert (Reneé); A.J. Oldehinkel (Albertine); G. Pasterkamp (Gerard); N.L. Pedersen (Nancy); R. Plomin (Robert); O. Polasek (Ozren); C. Power (Christopher); S.S. Rich (Stephen); F.R. Rosendaal (Frits); H.M. den Ruijter (Hester ); Schlessinger, D. (David); R. Schmidt (Reinhold); R. Svento (Rauli); R. Schmidt (Reinhold); B.Z. Alizadeh (Behrooz); T.I.A. Sørensen (Thorkild); DSpector, T. (Tim); Steptoe, A. (Andrew); A. Terracciano; A.R. Thurik (Roy); N. Timpson (Nicholas); H.W. Tiemeier (Henning); A.G. Uitterlinden (André); P. Vollenweider (Peter); Wagner, G.G. (Gert G.); D.R. Weir (David); J. Yang (Joanna); Conley, D.C. (Dalton C.); G.D. Smith; Hofman, A. (Albert); M. Johannesson (Magnus); D. Laibson (David); S.E. Medland (Sarah Elizabeth); M.N. Meyer (Michelle N.); Pickrell, J.K. (Joseph K.); Esko, T. (T'nu); R.F. Krueger; J.P. Beauchamp (Jonathan); Ph.D. Koellinger (Philipp); D.J. Benjamin (Daniel J.); M. Bartels (Meike); D. Cesarini (David)

    2016-01-01

    textabstractVery few genetic variants have been associated with depression and neuroticism, likely because of limitations on sample size in previous studies. Subjective well-being, a phenotype that is genetically correlated with both of these traits, has not yet been studied with genome-wide data. W

  11. Genetic variants associated with subjective well-being, depressive symptoms, and neuroticism identified through genome-wide analyses

    NARCIS (Netherlands)

    Okbay, Aysu; Baselmans, Bart M L; De Neve, Jan-Emmanuel; Turley, Patrick; Nivard, Michel G; Fontana, Mark Alan; Meddens, S Fleur W; Linnér, Richard Karlsson; Rietveld, Cornelius A; Derringer, Jaime; Gratten, Jacob; Lee, James J; Liu, Jimmy Z; de Vlaming, Ronald; Ahluwalia, Tarunveer S; Buchwald, Jadwiga; Cavadino, Alana; Frazier-Wood, Alexis C; Furlotte, Nicholas A; Garfield, Victoria; Geisel, Marie Henrike; Gonzalez, Juan R; Haitjema, Saskia; Karlsson, Robert; van der Laan, Sander W; Ladwig, Karl-Heinz; Lahti, Jari; van der Lee, Sven J; Lind, Penelope A; Liu, Tian; Matteson, Lindsay; Mihailov, Evelin; Miller, Michael B; Minica, Camelia C; Nolte, Ilja M; Mook-Kanamori, Dennis; van der Most, Peter J; Oldmeadow, Christopher; Qian, Yong; Raitakari, Olli; Rawal, Rajesh; Realo, Anu; Rueedi, Rico; Schmidt, Börge; Smith, Albert V; Stergiakouli, Evie; Tanaka, Toshiko; Taylor, Kent; Wedenoja, Juho; Wellmann, Juergen; Westra, Harm-Jan; Willems, Sara M; Zhao, Wei; Amin, Najaf; Bakshi, Andrew; Boyle, Patricia A; Cherney, Samantha; Cox, Simon R; Davies, Gail; Davis, Oliver S P; Ding, Jun; Direk, Nese; Eibich, Peter; Emeny, Rebecca T; Fatemifar, Ghazaleh; Faul, Jessica D; Ferrucci, Luigi; Forstner, Andreas; Gieger, Christian; Gupta, Richa; Harris, Tamara B; Harris, Juliette M; Holliday, Elizabeth G; Hottenga, Jouke-Jan; De Jager, Philip L; Kaakinen, Marika A; Kajantie, Eero; Karhunen, Ville; Kolcic, Ivana; Kumari, Meena; Launer, Lenore J; Franke, Lude; Li-Gao, Ruifang; Koini, Marisa; Loukola, Anu; Marques-Vidal, Pedro; Montgomery, Grant W; Mosing, Miriam A; Paternoster, Lavinia; Pattie, Alison; Petrovic, Katja E; Pulkki-Råback, Laura; Quaye, Lydia; Räikkönen, Katri; Rudan, Igor; Scott, Rodney J; Smith, Jennifer A; Sutin, Angelina R; Trzaskowski, Maciej; Vinkhuyzen, Anna E; Yu, Lei; Zabaneh, Delilah; Attia, John R; Bennett, David A; Berger, Klaus; Bertram, Lars; Boomsma, Dorret I; Snieder, Harold; Chang, Shun-Chiao; Cucca, Francesco; Deary, Ian J; van Duijn, Cornelia M; Eriksson, Johan G; Bültmann, Ute; de Geus, Eco J C; Groenen, Patrick J F; Gudnason, Vilmundur; Hansen, Torben; Hartman, Catharine A; Haworth, Claire M A; Hayward, Caroline; Heath, Andrew C; Hinds, David A; Hyppönen, Elina; Iacono, William G; Järvelin, Marjo-Riitta; Jöckel, Karl-Heinz; Kaprio, Jaakko; Kardia, Sharon L R; Keltikangas-Järvinen, Liisa; Kraft, Peter; Kubzansky, Laura D; Lehtimäki, Terho; Magnusson, Patrik K E; Martin, Nicholas G; McGue, Matt; Metspalu, Andres; Mills, Melinda; de Mutsert, Renée; Oldehinkel, Albertine J; Pasterkamp, Gerard; Pedersen, Nancy L; Plomin, Robert; Polasek, Ozren; Power, Christine; Rich, Stephen S; Rosendaal, Frits R; den Ruijter, Hester M; Schlessinger, David; Schmidt, Helena; Svento, Rauli; Schmidt, Reinhold; Alizadeh, Behrooz; Sørensen, Thorkild I A; Spector, Tim D; Steptoe, Andrew; Terracciano, Antonio; Thurik, A Roy; Timpson, Nicholas J; Tiemeier, Henning; Uitterlinden, André G; Vollenweider, Peter; Wagner, Gert G; Weir, David R; Yang, Jian; Conley, Dalton C; Smith, George Davey; Hofman, Albert; Johannesson, Magnus; Laibson, David I; Medland, Sarah E; Meyer, Michelle N; Pickrell, Joseph K; Esko, Tõnu; Krueger, Robert F; Beauchamp, Jonathan P; Koellinger, Philipp D; Benjamin, Daniel J; Bartels, Meike; Cesarini, David

    2016-01-01

    Very few genetic variants have been associated with depression and neuroticism, likely because of limitations on sample size in previous studies. Subjective well-being, a phenotype that is genetically correlated with both of these traits, has not yet been studied with genome-wide data. We conducted

  12. Genetic variants associated with subjective well-being, depressive symptoms, and neuroticism identified through genome-wide analyses

    NARCIS (Netherlands)

    Okbay, Aysu; Baselmans, Bart M L; De Neve, Jan-Emmanuel; Turley, Patrick; Nivard, Michel G; Fontana, Mark Alan; Meddens, S Fleur W; Linnér, Richard Karlsson; Rietveld, Cornelius A; Derringer, Jaime; Gratten, Jacob; Lee, James J; Liu, Jimmy Z; de Vlaming, Ronald; Ahluwalia, Tarunveer S; Buchwald, Jadwiga; Cavadino, Alana; Frazier-Wood, Alexis C; Furlotte, Nicholas A; Garfield, Victoria; Geisel, Marie Henrike; Gonzalez, Juan R; Haitjema, Saskia; Karlsson, Robert; van der Laan, Sander W; Ladwig, Karl-Heinz; Lahti, Jari; van der Lee, Sven J; Lind, Penelope A; Liu, Tian; Matteson, Lindsay; Mihailov, Evelin; Miller, Michael B; Minica, Camelia C; Nolte, Ilja M; Mook-Kanamori, Dennis; van der Most, Peter J; Oldmeadow, Christopher; Qian, Yong; Raitakari, Olli; Rawal, Rajesh; Realo, Anu; Rueedi, Rico; Schmidt, Börge; Smith, Albert V; Stergiakouli, Evie; Tanaka, Toshiko; Taylor, Kent; Wedenoja, Juho; Wellmann, Juergen; Westra, Harm-Jan; Willems, Sara M; Zhao, Wei; Amin, Najaf; Bakshi, Andrew; Boyle, Patricia A; Cherney, Samantha; Cox, Simon R; Davies, Gail; Davis, Oliver S P; Ding, Jun; Direk, Nese; Eibich, Peter; Emeny, Rebecca T; Fatemifar, Ghazaleh; Faul, Jessica D; Ferrucci, Luigi; Forstner, Andreas; Gieger, Christian; Gupta, Richa; Harris, Tamara B; Harris, Juliette M; Holliday, Elizabeth G; Hottenga, Jouke-Jan; De Jager, Philip L; Kaakinen, Marika A; Kajantie, Eero; Karhunen, Ville; Kolcic, Ivana; Kumari, Meena; Launer, Lenore J; Franke, Lude; Li-Gao, Ruifang; Koini, Marisa; Loukola, Anu; Marques-Vidal, Pedro; Montgomery, Grant W; Mosing, Miriam A; Paternoster, Lavinia; Pattie, Alison; Petrovic, Katja E; Pulkki-Råback, Laura; Quaye, Lydia; Räikkönen, Katri; Rudan, Igor; Scott, Rodney J; Smith, Jennifer A; Sutin, Angelina R; Trzaskowski, Maciej; Vinkhuyzen, Anna E; Yu, Lei; Zabaneh, Delilah; Attia, John R; Bennett, David A; Berger, Klaus; Bertram, Lars; Boomsma, Dorret I; Snieder, Harold; Chang, Shun-Chiao; Cucca, Francesco; Deary, Ian J; van Duijn, Cornelia M; Eriksson, Johan G; Bültmann, Ute; de Geus, Eco J C; Groenen, Patrick J F; Gudnason, Vilmundur; Hansen, Torben; Hartman, Catharine A; Haworth, Claire M A; Hayward, Caroline; Heath, Andrew C; Hinds, David A; Hyppönen, Elina; Iacono, William G; Järvelin, Marjo-Riitta; Jöckel, Karl-Heinz; Kaprio, Jaakko; Kardia, Sharon L R; Keltikangas-Järvinen, Liisa; Kraft, Peter; Kubzansky, Laura D; Lehtimäki, Terho; Magnusson, Patrik K E; Martin, Nicholas G; McGue, Matt; Metspalu, Andres; Mills, Melinda; de Mutsert, Renée; Oldehinkel, Albertine J; Pasterkamp, Gerard|info:eu-repo/dai/nl/138488304; Pedersen, Nancy L; Plomin, Robert; Polasek, Ozren; Power, Christine; Rich, Stephen S; Rosendaal, Frits R; den Ruijter, Hester M|info:eu-repo/dai/nl/304123846; Schlessinger, David; Schmidt, Helena; Svento, Rauli; Schmidt, Reinhold; Alizadeh, Behrooz Z|info:eu-repo/dai/nl/274070057; Sørensen, Thorkild I A; Spector, Tim D; Steptoe, Andrew; Terracciano, Antonio; Thurik, A Roy; Timpson, Nicholas J; Tiemeier, Henning; Uitterlinden, André G; Vollenweider, Peter; Wagner, Gert G; Weir, David R; Yang, Jian; Conley, Dalton C; Smith, George Davey; Hofman, Albert; Johannesson, Magnus; Laibson, David I; Medland, Sarah E; Meyer, Michelle N; Pickrell, Joseph K; Esko, Tõnu; Krueger, Robert F; Beauchamp, Jonathan P; Koellinger, Philipp D; Benjamin, Daniel J; Bartels, Meike; Cesarini, David

    2016-01-01

    Very few genetic variants have been associated with depression and neuroticism, likely because of limitations on sample size in previous studies. Subjective well-being, a phenotype that is genetically correlated with both of these traits, has not yet been studied with genome-wide data. We conducted

  13. Effects of breed and casein genetic variants on protein profile in milk from Swedish Red, Danish Holstein, and Danish Jersey

    DEFF Research Database (Denmark)

    Gustavsson, Frida; Buitenhuis, Albert Johannes; Johansson, M

    2014-01-01

    In selecting cows for higher milk yields and milk quality, it is important to understand how these traits are affected by the bovine genome. The major milk proteins exhibit genetic polymorphism and these genetic variants can serve as markers for milk composition, milk production traits, and techn......, for example, the processing of cheese...

  14. Genetic variants associated with subjective well-being, depressive symptoms, and neuroticism identified through genome-wide analyses

    Science.gov (United States)

    Very few genetic variants have been associated with depression and neuroticism, likely because of limitations on sample size in previous studies. Subjective well-being, a phenotype that is genetically correlated with both of these traits, has not yet been studied with genome-wide data. We conducted ...

  15. Meta-analysis of interaction between dietary magnesium intake and genetic risk variants on diabetes phenotypes in the charge consortium

    Science.gov (United States)

    Little is known about whether genetic variation modifies the effect of magnesium (Mg) intake on two important diabetes risk factors: fasting glucose (FG) and insulin (FI). We examined interactions between dietary Mg and genetic variants associated with glucose (16 SNPs), insulin (2 SNPs), or Mg home...

  16. Cumulative impact of common genetic variants and other risk factors on colorectal cancer risk in 42 103 individuals

    NARCIS (Netherlands)

    Dunlop, Malcolm G.; Tenesa, Albert; Farrington, Susan M.; Ballereau, Stephane; Brewster, David H.; Koessler, Thibaud; Pharoah, Paul; Schafmayer, Clemens; Hampe, Jochen; Voelzke, Henry; Chang-Claude, Jenny; Hoffmeister, Michael; Brenner, Hermann; von Holst, Susanna; Picelli, Simone; Lindblom, Annika; Jenkins, Mark A.; Hopper, John L.; Casey, Graham; Duggan, David; Newcomb, Polly A.; Abuli, Anna; Bessa, Xavier; Ruiz-Ponte, Clara; Castellvi-Bel, Sergi; Niittymaeki, Iina; Tuupanen, Sari; Karhu, Auli; Aaltonen, Lauri; Zanke, Brent; Hudson, Tom; Gallinger, Steven; Barclay, Ella; Martin, Lynn; Gorman, Maggie; Carvajal-Carmona, Luis; Walther, Axel; Kerr, David; Lubbe, Steven; Broderick, Peter; Chandler, Ian; Pittman, Alan; Penegar, Steven; Campbell, Harry; Tomlinson, Ian; Houlston, Richard S.

    2013-01-01

    Objective Colorectal cancer (CRC) has a substantial heritable component. Common genetic variation has been shown to contribute to CRC risk. A study was conducted in a large multi-population study to assess the feasibility of CRC risk prediction using common genetic variant data combined with other r

  17. Association of genetic susceptibility variants for type 2 diabetes with breast cancer risk in women of European ancestry

    NARCIS (Netherlands)

    Zhao, Zhiguo; Wen, Wanqing; Michailidou, Kyriaki; Bolla, Manjeet K; Wang, Qin; Zhang, Ben; Long, Jirong; Shu, Xiao-Ou; Schmidt, Marjanka K; Milne, Roger L; García-Closas, Montserrat; Chang-Claude, Jenny; Lindstrom, Sara; Bojesen, Stig E; Ahsan, Habibul; Aittomäki, Kristiina; Andrulis, Irene L; Anton-Culver, Hoda; Arndt, Volker; Beckmann, Matthias W; Beeghly-Fadiel, Alicia; Benitez, Javier; Blomqvist, Carl; Bogdanova, Natalia V; Børresen-Dale, Anne-Lise; Brand, Judith; Brauch, Hiltrud; Brenner, Hermann; Burwinkel, Barbara; Cai, Qiuyin; Casey, Graham; Chenevix-Trench, Georgia; Couch, Fergus J; Cox, Angela; Cross, Simon S; Czene, Kamila; Dörk, Thilo; Dumont, Martine; Fasching, Peter A; Figueroa, Jonine; Flesch-Janys, Dieter; Fletcher, Olivia; Flyger, Henrik; Fostira, Florentia; Gammon, Marilie; Giles, Graham G; Guénel, Pascal; Haiman, Christopher A; Hamann, Ute; Harrington, Patricia; Hartman, Mikael; Hooning, Maartje J; Hopper, John L; Jakubowska, Anna; Jasmine, Farzana; John, Esther M; Johnson, Nichola; Kabisch, Maria; Khan, Sofia; Kibriya, Muhammad; Knight, Julia A; Kosma, Veli-Matti; Kriege, Mieke; Kristensen, Vessela; Le Marchand, Loic; Lee, Eunjung; Li, Jingmei; Lindblom, Annika; Lophatananon, Artitaya; Luben, Robert; Lubinski, Jan; Malone, Kathleen E; Mannermaa, Arto; Manoukian, Siranoush; Margolin, Sara; Marme, Frederik; McLean, Catriona; Meijers-Heijboer, Hanne; Meindl, Alfons; Miao, Hui; Muir, Kenneth; Neuhausen, Susan L; Nevanlinna, Heli; Neven, Patrick; Olson, Janet E; Perkins, Barbara; Peterlongo, Paolo; Phillips, Kelly-Anne; Pylkäs, Katri; Rudolph, Anja; Santella, Regina; Sawyer, Elinor J; Schmutzler, Rita K; Schoemaker, Minouk; Shah, Mitul; Shrubsole, Martha; Southey, Melissa C; Swerdlow, Anthony J; Toland, Amanda E; Tomlinson, Ian; Torres, Diana; Truong, Thérèse; Ursin, Giske; Van Der Luijt, Rob B; Verhoef, Senno; Wang-Gohrke, Shan; Whittemore, Alice S; Winqvist, Robert; Pilar Zamora, M; Zhao, Hui; Dunning, Alison M; Simard, Jacques; Hall, Per; Kraft, Peter; Pharoah, Paul; Hunter, David; Easton, Douglas F; Zheng, Wei

    2016-01-01

    PURPOSE: Type 2 diabetes (T2D) has been reported to be associated with an elevated risk of breast cancer. It is unclear, however, whether this association is due to shared genetic factors. METHODS: We constructed a genetic risk score (GRS) using risk variants from 33 known independent T2D

  18. Association of genetic susceptibility variants for type 2 diabetes with breast cancer risk in women of European ancestry

    NARCIS (Netherlands)

    Z. Zhao (Zhiguo); W. Wen (Wanqing); K. Michailidou (Kyriaki); M.K. Bolla (Manjeet); Q. Wang (Qing); B. Zhang (Bin); J. Long (Jirong); X.-O. Shu (Xiao-Ou); M.K. Schmidt (Marjanka); R.L. Milne (Roger); M. García-Closas (Montserrat); J. Chang-Claude (Jenny); S. Lindstrom (Stephen); S.E. Bojesen (Stig); H. Ahsan (Habibul); K. Aittomäki (Kristiina); I.L. Andrulis (Irene); H. Anton-Culver (Hoda); V. Arndt (Volker); M.W. Beckmann (Matthias); A. Beeghly-Fadiel (Alicia); J. Benítez (Javier); C. Blomqvist (Carl); N.V. Bogdanova (Natalia); A.-L. Borresen-Dale (Anne-Lise); J.S. Brand (Judith S.); H. Brauch (Hiltrud); H. Brenner (Hermann); B. Burwinkel (Barbara); Q. Cai (Qiuyin); G. Casey (Graham); G. Chenevix-Trench (Georgia); F.J. Couch (Fergus); A. Cox (Angela); S.S. Cross (Simon); K. Czene (Kamila); T. Dörk (Thilo); M. Dumont (Martine); P.A. Fasching (Peter); J.D. Figueroa (Jonine); D. Flesch-Janys (Dieter); O. Fletcher (Olivia); H. Flyger (Henrik); F. Fostira (Florentia); M. Gammon (Marilie); G.G. Giles (Graham); P. Guénel (Pascal); C.A. Haiman (Christopher A.); U. Hamann (Ute); P. harrington (Patricia); J.M. Hartman (Joost); M.J. Hooning (Maartje); J.L. Hopper (John); A. Jakubowska (Anna); F. Jasmine (Farzana); E.M. John (Esther); N. Johnson (Nichola); M. Kabisch (Maria); S. Khan (Sofia); M.G. Kibriya (Muhammad); J.A. Knight (Julia A.); V-M. Kosma (Veli-Matti); M. Kriege (Mieke); V. Kristensen (Vessela); L. Le Marchand (Loic); E. Lee (Eunjung); J. Li (Jingmei); A. Lindblom (Annika); A. Lophatananon (Artitaya); R.N. Luben (Robert); J. Lubinski (Jan); K.E. Malone (Kathleen E.); A. Mannermaa (Arto); S. Manoukian (Siranoush); S. Margolin (Sara); F. Marme (Federick); C.A. McLean (Catriona Ann); E.J. Meijers-Heijboer (Hanne); A. Meindl (Alfons); X. Miao; K.R. Muir (K.); S.L. Neuhausen (Susan); H. Nevanlinna (Heli); P. Neven (Patrick); J.E. Olson (Janet); B. Perkins (Barbara); P. Peterlongo (Paolo); K.-A. Phillips (Kelly-Anne); K. Pykäs (Katri); A. Rudolph (Anja); R. Santella (Regina); E.J. Sawyer (Elinor); R.K. Schmutzler (Rita); M. Schoemaker (Minouk); M. Shah (Mitul); M. Shrubsole (Martha); M.C. Southey (Melissa); A.J. Swerdlow (Anthony ); A.E. Toland (Amanda); I. Tomlinson (Ian); D. Torres (Diana); T. Truong (Thérèse); G. Ursin (Giske); R.B. van der Luijt (Rob); S. Verhoef; S. Wang-Gohrke (Shan); A.S. Whittemore (Alice S.); R. Winqvist (Robert); M.P. Zamora (Pilar); H. Zhao (Hui); A.M. Dunning (Alison); J. Simard (Jacques); P. Hall (Per); P. Kraft (Peter); P.D.P. Pharoah (Paul); D. Hunter (David); D.F. Easton (Douglas F.); W. Zheng (Wei)

    2016-01-01

    textabstractPurpose: Type 2 diabetes (T2D) has been reported to be associated with an elevated risk of breast cancer. It is unclear, however, whether this association is due to shared genetic factors. Methods: We constructed a genetic risk score (GRS) using risk variants from 33 known independent T2

  19. Association of genetic susceptibility variants for type 2 diabetes with breast cancer risk in women of European ancestry

    NARCIS (Netherlands)

    Zhao, Zhiguo; Wen, Wanqing; Michailidou, Kyriaki; Bolla, Manjeet K; Wang, Qin; Zhang, Ben; Long, Jirong; Shu, Xiao-Ou; Schmidt, Marjanka K; Milne, Roger L; García-Closas, Montserrat; Chang-Claude, Jenny; Lindstrom, Sara; Bojesen, Stig E; Ahsan, Habibul; Aittomäki, Kristiina; Andrulis, Irene L; Anton-Culver, Hoda; Arndt, Volker; Beckmann, Matthias W; Beeghly-Fadiel, Alicia; Benitez, Javier; Blomqvist, Carl; Bogdanova, Natalia V; Børresen-Dale, Anne-Lise; Brand, Judith; Brauch, Hiltrud; Brenner, Hermann; Burwinkel, Barbara; Cai, Qiuyin; Casey, Graham; Chenevix-Trench, Georgia; Couch, Fergus J; Cox, Angela; Cross, Simon S; Czene, Kamila; Dörk, Thilo; Dumont, Martine; Fasching, Peter A; Figueroa, Jonine; Flesch-Janys, Dieter; Fletcher, Olivia; Flyger, Henrik; Fostira, Florentia; Gammon, Marilie; Giles, Graham G; Guénel, Pascal; Haiman, Christopher A; Hamann, Ute; Harrington, Patricia; Hartman, Mikael; Hooning, Maartje J; Hopper, John L; Jakubowska, Anna; Jasmine, Farzana; John, Esther M; Johnson, Nichola; Kabisch, Maria; Khan, Sofia; Kibriya, Muhammad; Knight, Julia A; Kosma, Veli-Matti; Kriege, Mieke; Kristensen, Vessela; Le Marchand, Loic; Lee, Eunjung; Li, Jingmei; Lindblom, Annika; Lophatananon, Artitaya; Luben, Robert; Lubinski, Jan; Malone, Kathleen E; Mannermaa, Arto; Manoukian, Siranoush; Margolin, Sara; Marme, Frederik; McLean, Catriona; Meijers-Heijboer, Hanne; Meindl, Alfons; Miao, Hui; Muir, Kenneth; Neuhausen, Susan L; Nevanlinna, Heli; Neven, Patrick; Olson, Janet E; Perkins, Barbara; Peterlongo, Paolo; Phillips, Kelly-Anne; Pylkäs, Katri; Rudolph, Anja; Santella, Regina; Sawyer, Elinor J; Schmutzler, Rita K; Schoemaker, Minouk; Shah, Mitul; Shrubsole, Martha; Southey, Melissa C; Swerdlow, Anthony J; Toland, Amanda E; Tomlinson, Ian; Torres, Diana; Truong, Thérèse; Ursin, Giske; Van Der Luijt, Rob B; Verhoef, Senno; Wang-Gohrke, Shan; Whittemore, Alice S; Winqvist, Robert; Pilar Zamora, M; Zhao, Hui; Dunning, Alison M; Simard, Jacques; Hall, Per; Kraft, Peter; Pharoah, Paul; Hunter, David; Easton, Douglas F; Zheng, Wei

    2016-01-01

    PURPOSE: Type 2 diabetes (T2D) has been reported to be associated with an elevated risk of breast cancer. It is unclear, however, whether this association is due to shared genetic factors. METHODS: We constructed a genetic risk score (GRS) using risk variants from 33 known independent T2D susceptibi

  20. Association of genetic susceptibility variants for type 2 diabetes with breast cancer risk in women of European ancestry

    DEFF Research Database (Denmark)

    Zhao, Zhiguo; Wen, Wanqing; Michailidou, Kyriaki

    2016-01-01

    PURPOSE: Type 2 diabetes (T2D) has been reported to be associated with an elevated risk of breast cancer. It is unclear, however, whether this association is due to shared genetic factors. METHODS: We constructed a genetic risk score (GRS) using risk variants from 33 known independent T2D suscept...

  1. A Less Conservative Stability Criterion for Delayed Stochastic Genetic Regulatory Networks

    Directory of Open Access Journals (Sweden)

    Tingting Yu

    2014-01-01

    Full Text Available This paper concerns the problem of stability analysis for delayed stochastic genetic regulatory networks. By introducing an appropriate Lyapunov-Krasovskii functional and employing delay-range partition approach, a new stability criterion is given to ensure the mean square stability of genetic regulatory networks with time-varying delays and stochastic disturbances. The stability criterion is given in the form of linear matrix inequalities, which can be easily tested by the LMI Toolbox of MATLAB. Moreover, it is theoretically shown that the obtained stability criterion is less conservative than the one in W. Zhang et al., 2012. Finally, a numerical example is presented to illustrate our theory.

  2. Association of breast cancer risk in BRCA1 and BRCA2 mutation carriers with genetic variants showing differential allelic expression

    DEFF Research Database (Denmark)

    Hamdi, Yosr; Soucy, Penny; Kuchenbaeker, Karoline B

    2017-01-01

    PURPOSE: Cis-acting regulatory SNPs resulting in differential allelic expression (DAE) may, in part, explain the underlying phenotypic variation associated with many complex diseases. To investigate whether common variants associated with DAE were involved in breast cancer susceptibility among BR...

  3. Investigation and functional characterization of rare genetic variants in the adipose triglyceride lipase in a large healthy working population.

    Directory of Open Access Journals (Sweden)

    Stefan Coassin

    Full Text Available Recent studies demonstrated a strong influence of rare genetic variants on several lipid-related traits. However, their impact on free fatty acid (FFA plasma concentrations, as well as the role of rare variants in a general population, has not yet been thoroughly addressed. The adipose triglyceride lipase (ATGL is encoded by the PNPLA2 gene and catalyzes the rate-limiting step of lipolysis. It represents a prominent candidate gene affecting FFA concentrations. We therefore screened the full genomic region of ATGL for mutations in 1,473 randomly selected individuals from the SAPHIR (Salzburg Atherosclerosis Prevention program in subjects at High Individual Risk Study using a combined Ecotilling and sequencing approach and functionally investigated all detected protein variants by in-vitro studies. We observed 55 novel mostly rare genetic variants in this general population sample. Biochemical evaluation of all non-synonymous variants demonstrated the presence of several mutated but mostly still functional ATGL alleles with largely varying residual lipolytic activity. About one-quarter (3 out of 13 of the investigated variants presented a marked decrease or total loss of catalytic function. Genetic association studies using both continuous and dichotomous approaches showed a shift towards lower plasma FFA concentrations for rare variant carriers and an accumulation of variants in the lower 10%-quantile of the FFA distribution. However, the generally rather small effects suggest either only a secondary role of rare ATGL variants on the FFA levels in the SAPHIR population or a recessive action of ATGL variants. In contrast to these rather small effects, we describe here also the first patient with "neutral lipid storage disease with myopathy" (NLSDM with a point mutation in the catalytic dyad, but otherwise intact protein.

  4. Investigation and functional characterization of rare genetic variants in the adipose triglyceride lipase in a large healthy working population.

    Science.gov (United States)

    Coassin, Stefan; Schweiger, Martina; Kloss-Brandstätter, Anita; Lamina, Claudia; Haun, Margot; Erhart, Gertraud; Paulweber, Bernhard; Rahman, Yusof; Olpin, Simon; Wolinski, Heimo; Cornaciu, Irina; Zechner, Rudolf; Zimmermann, Robert; Kronenberg, Florian

    2010-12-09

    Recent studies demonstrated a strong influence of rare genetic variants on several lipid-related traits. However, their impact on free fatty acid (FFA) plasma concentrations, as well as the role of rare variants in a general population, has not yet been thoroughly addressed. The adipose triglyceride lipase (ATGL) is encoded by the PNPLA2 gene and catalyzes the rate-limiting step of lipolysis. It represents a prominent candidate gene affecting FFA concentrations. We therefore screened the full genomic region of ATGL for mutations in 1,473 randomly selected individuals from the SAPHIR (Salzburg Atherosclerosis Prevention program in subjects at High Individual Risk) Study using a combined Ecotilling and sequencing approach and functionally investigated all detected protein variants by in-vitro studies. We observed 55 novel mostly rare genetic variants in this general population sample. Biochemical evaluation of all non-synonymous variants demonstrated the presence of several mutated but mostly still functional ATGL alleles with largely varying residual lipolytic activity. About one-quarter (3 out of 13) of the investigated variants presented a marked decrease or total loss of catalytic function. Genetic association studies using both continuous and dichotomous approaches showed a shift towards lower plasma FFA concentrations for rare variant carriers and an accumulation of variants in the lower 10%-quantile of the FFA distribution. However, the generally rather small effects suggest either only a secondary role of rare ATGL variants on the FFA levels in the SAPHIR population or a recessive action of ATGL variants. In contrast to these rather small effects, we describe here also the first patient with "neutral lipid storage disease with myopathy" (NLSDM) with a point mutation in the catalytic dyad, but otherwise intact protein.

  5. Phenotype-Based Genetic Association Studies (PGAS—Towards Understanding the Contribution of Common Genetic Variants to Schizophrenia Subphenotypes

    Directory of Open Access Journals (Sweden)

    Hannelore Ehrenreich

    2014-02-01

    Full Text Available Neuropsychiatric diseases ranging from schizophrenia to affective disorders and autism are heritable, highly complex and heterogeneous conditions, diagnosed purely clinically, with no supporting biomarkers or neuroimaging criteria. Relying on these “umbrella diagnoses”, genetic analyses, including genome-wide association studies (GWAS, were undertaken but failed to provide insight into the biological basis of these disorders. “Risk genotypes” of unknown significance with low odds ratios of mostly <1.2 were extracted and confirmed by including ever increasing numbers of individuals in large multicenter efforts. Facing these results, we have to hypothesize that thousands of genetic constellations in highly variable combinations with environmental co-factors can cause the individual disorder in the sense of a final common pathway. This would explain why the prevalence of mental diseases is so high and why mutations, including copy number variations, with a higher effect size than SNPs, constitute only a small part of variance. Elucidating the contribution of normal genetic variation to (disease phenotypes, and so re-defining disease entities, will be extremely labor-intense but crucial. We have termed this approach PGAS (“phenotype-based genetic association studies”. Ultimate goal is the definition of biological subgroups of mental diseases. For that purpose, the GRAS (Göttingen Research Association for Schizophrenia data collection was initiated in 2005. With >3000 phenotypical data points per patient, it comprises the world-wide largest currently available schizophrenia database (N > 1200, combining genome-wide SNP coverage and deep phenotyping under highly standardized conditions. First PGAS results on normal genetic variants, relevant for e.g., cognition or catatonia, demonstrated proof-of-concept. Presently, an autistic subphenotype of schizophrenia is being defined where an unfortunate accumulation of normal genotypes, so

  6. Common variants of OPA1 conferring genetic susceptibility to leprosy in Han Chinese from Southwest China.

    Science.gov (United States)

    Xiang, Yang-Lin; Zhang, Deng-Feng; Wang, Dong; Li, Yu-Ye; Yao, Yong-Gang

    2015-11-01

    Leprosy is an ancient chronic infection caused by Mycobacterium leprae. Onset of leprosy was highly affected by host nutritional condition and energy production, (partially) due to genomic loss and parasitic life style of M. leprae. The optic atrophy 1 (OPA1) gene plays an essential role in mitochondria, which function in cellular energy supply and innate immunity. To investigate the potential involvement of OPA1 in leprosy. We analyzed 7 common genetic variants of OPA1 in 1110 Han Chinese subjects with and without leprosy, followed by mRNA expression profiling and protein-protein interaction (PPI) network analysis. We observed positive associations between OPA1 variants rs9838374 (Pgenotypic=0.003) and rs414237 (Pgenotypic=0.002) with lepromatous leprosy. expression quantitative trait loci (eQTL) analysis showed that the leprosy-related risk allele C of rs414237 is correlated with lower OPA1 mRNA expression level. Indeed, we identified a decrease of OPA1 mRNA expression in both with patients and cellular model of leprosy. In addition, the PPI analysis showed that OPA1 protein was actively involved in the interaction network of M. leprae induced differentially expressed genes. Our results indicated that OPA1 variants confer risk of leprosy and may affect OPA1 expression, mitochondrial function and antimicrobial pathways. Copyright © 2015 Elsevier Ireland Ltd. All rights reserved.

  7. Monoclonal antibody-escape variant of dengue virus serotype 1: Genetic composition and envelope protein expression.

    Science.gov (United States)

    Chem, Y K; Chua, K B; Malik, Y; Voon, K

    2015-06-01

    Monoclonal antibody-escape variant of dengue virus type 1 (MabEV DEN-1) was discovered and isolated in an outbreak of dengue in Klang Valley, Malaysia from December 2004 to March 2005. This study was done to investigate whether DEN152 (an isolate of MabEV DEN-1) is a product of recombination event or not. In addition, the non-synonymous mutations that correlate with the monoclonal antibody-escape variant were determined in this study. The genomes of DEN152 and two new DEN-1 isolates, DENB04 and DENK154 were completely sequenced, aligned, and compared. Phylogenetic tree was plotted and the recombination event on DEN152 was investigated. DEN152 is sub-grouped under genotype I and is closely related genetically to a DEN-1 isolated in Japan in 2004. DEN152 is not a recombinant product of any parental strains. Four amino acid substitutions were unique only to DEN 152. These amino acid substitutions were (Ser)[326](Leu), (Ser)[340](Leu) at the deduced E protein, (Ile)[250](Thr) at NS1 protein, and (Thr)[41](Ser) at NS5 protein. Thus, DEN152 is an isolate of the emerging monoclonal antibody-escape variant DEN-1 that escaped diagnostic laboratory detection.

  8. Genetic Factors of the Disease Course After Sepsis: Rare Deleterious Variants Are Predictive.

    Science.gov (United States)

    Taudien, Stefan; Lausser, Ludwig; Giamarellos-Bourboulis, Evangelos J; Sponholz, Christoph; Schöneweck, Franziska; Felder, Marius; Schirra, Lyn-Rouven; Schmid, Florian; Gogos, Charalambos; Groth, Susann; Petersen, Britt-Sabina; Franke, Andre; Lieb, Wolfgang; Huse, Klaus; Zipfel, Peter F; Kurzai, Oliver; Moepps, Barbara; Gierschik, Peter; Bauer, Michael; Scherag, André; Kestler, Hans A; Platzer, Matthias

    2016-10-01

    Sepsis is a life-threatening organ dysfunction caused by dysregulated host response to infection. For its clinical course, host genetic factors are important and rare genomic variants are suspected to contribute. We sequenced the exomes of 59 Greek and 15 German patients with bacterial sepsis divided into two groups with extremely different disease courses. Variant analysis was focusing on rare deleterious single nucleotide variants (SNVs). We identified significant differences in the number of rare deleterious SNVs per patient between the ethnic groups. Classification experiments based on the data of the Greek patients allowed discrimination between the disease courses with estimated sensitivity and specificity>75%. By application of the trained model to the German patients we observed comparable discriminatory properties despite lower population-specific rare SNV load. Furthermore, rare SNVs in genes of cell signaling and innate immunity related pathways were identified as classifiers discriminating between the sepsis courses. Sepsis patients with favorable disease course after sepsis, even in the case of unfavorable preconditions, seem to be affected more often by rare deleterious SNVs in cell signaling and innate immunity related pathways, suggesting a protective role of impairments in these processes against a poor disease course. Copyright © 2016 The Authors. Published by Elsevier B.V. All rights reserved.

  9. CFTR-France, a national relational patient database for sharing genetic and phenotypic data associated with rare CFTR variants.

    Science.gov (United States)

    Claustres, Mireille; Thèze, Corinne; des Georges, Marie; Baux, David; Girodon, Emmanuelle; Bienvenu, Thierry; Audrezet, Marie-Pierre; Dugueperoux, Ingrid; Férec, Claude; Lalau, Guy; Pagin, Adrien; Kitzis, Alain; Thoreau, Vincent; Gaston, Véronique; Bieth, Eric; Malinge, Marie-Claire; Reboul, Marie-Pierre; Fergelot, Patricia; Lemonnier, Lydie; Mekki, Chadia; Fanen, Pascale; Bergougnoux, Anne; Sasorith, Souphatta; Raynal, Caroline; Bareil, Corinne

    2017-06-12

    Most of the 2,000 variants identified in the CFTR (cystic fibrosis transmembrane regulator) gene are rare or private. Their interpretation is hampered by the lack of available data and resources, making patient care and genetic counseling challenging. We developed a patient-based database dedicated to the annotations of rare CFTR variants in the context of their cis- and trans-allelic combinations. Based on almost 30 years of experience of CFTR testing, CFTR-France (https://cftr.iurc.montp.inserm.fr/cftr) currently compiles 16,819 variant records from 4,615 individuals with cystic fibrosis (CF) or CFTR-RD (related disorders), fetuses with ultrasound bowel anomalies, newborns awaiting clinical diagnosis, and asymptomatic compound heterozygotes. For each of the 736 different variants reported in the database, patient characteristics and genetic information (other variations in cis or in trans) have been thoroughly checked by a dedicated curator. Combining updated clinical, epidemiological, in silico, or in vitro functional data helps to the interpretation of unclassified and the reassessment of misclassified variants. This comprehensive CFTR database is now an invaluable tool for diagnostic laboratories gathering information on rare variants, especially in the context of genetic counseling, prenatal and preimplantation genetic diagnosis. CFTR-France is thus highly complementary to the international database CFTR2 focused so far on the most common CF-causing alleles. © 2017 Wiley Periodicals, Inc.

  10. Pathway analysis to identify genetic variants associated with efficacy of adalimumab in rheumatoid arthritis.

    Science.gov (United States)

    Eektimmerman, Frank; Swen, Jesse J; Böhringer, Stefan; Huizinga, Tom Wj; Kooloos, Wouter M; Allaart, Cornelia F; Guchelaar, Henk-Jan

    2017-07-01

    About 30% of rheumatoid arthritis patients have no clinical benefit from TNF inhibitors. Genome-wide association (GWA) and candidate gene studies tested several putative genetic variants for TNF inhibitor efficacy with inconclusive results. Therefore, this study applied a systematic pathway analysis. A total of 325 rheumatoid arthritis patients treated with adalimumab were genotyped for 223 SNPs. We tested the association between SNPs and European League Against Rheumatism response and remission at 14 weeks under the additive genetic model using logistic regression. A total of 3 SNPs located in CD40LG (rs1126535), TANK (rs1267067) and VEGFA (rs25648) showed association with both end points. TNFAIP3 (rs2230926) had the strongest effect related to European League Against Rheumatism response. This exploratory study suggests that TNFAIP3, CD40LG, TANK and VEGFA play a role in the response to adalimumab treatment.

  11. A Candidate Gene Approach Identifies an IL33 Genetic Variant as a Novel Genetic Risk Factor for GCA

    Science.gov (United States)

    Márquez, Ana; Solans, Roser; Hernández-Rodríguez, José; Cid, Maria C.; Castañeda, Santos; Ramentol, Marc; Rodriguez-Rodriguez, Luis; Narváez, Javier; Blanco, Ricardo; Ortego-Centeno, Norberto; Palm, Øyvind; Diamantopoulos, Andreas P.; Braun, Niko; Moosig, Frank; Witte, Torsten; Beretta, Lorenzo; Lunardi, Claudio; Cimmino, Marco A.; Vaglio, Augusto; Salvarani, Carlo; González-Gay, Miguel A.; Martín, Javier

    2014-01-01

    Introduction Increased expression of IL-33 and its receptor ST2, encoded by the IL1RL1 gene, has been detected in the inflamed arteries of giant cell arteritis (GCA) patients. The aim of the present study was to investigate for the first time the potential influence of the IL33 and IL1RL1 loci on GCA predisposition. Methods A total of 1,363 biopsy-proven GCA patients and 3,908 healthy controls from four European cohorts (Spain, Italy, Germany and Norway) were combined in a meta-analysis. Six genetic variants: rs3939286, rs7025417 and rs7044343, within the IL33 gene, and rs2058660, rs2310173 and rs13015714, within the IL1RL1 gene, previously associated with immune-related diseases, were genotyped using predesigned TaqMan assays. Results A consistent association between the rs7025417 polymorphism and GCA was evident in the overall meta-analysis, under both allele (PMH = 0.041, OR = 0.88, CI 95% 0.78–0.99) and recessive (PMH = 3.40E-03, OR = 0.53, CI 95% 0.35–0.80) models. No statistically significant differences between allele or genotype frequencies for the other IL33 and IL1RL1 genetic variants were detected in this pooled analysis. Conclusions Our results clearly evidenced the implication of the IL33 rs7025417 polymorphism in the genetic network underlying GCA. PMID:25409453

  12. Effects of genetic variants for the bovine calpain gene on meat tenderness.

    Science.gov (United States)

    Chung, Hoyoung; Shin, Sungchul; Chung, Euiryong

    2014-05-01

    The objective of this study was to determine whether the genetic variants of CAPN1 developed in several cattle populations can be applied for Hanwoo, regarding genetic effects on meat traits. The traits were examined for 286 purebred Hanwoo steers with genotypes classified by restriction fragment length polymorphism (RFLP) and single strand conformation polymorphism (SSCP) analysis. The nucleotide positions of primers and previously identified genetic variants were based on sequences of the calpain 1 (CAPN1) gene with GenBank accession numbers (AF252504, AF248054, and AY639597). The analysis of genetic distribution estimated levels of minor allele frequencies ranged from 0.165 to 0.392, showing no significant departures from Hardy-Weinberg Equilibrium for all markers. Overall averages of heterozygosites (He) and polymorphic information contents (PICs) for all markers were calculated to 0.503 and 0.429, respectively, and the g.4558G>A marker showed the lowest He (0.425) and PIC (0.367). Animals from 29 months of age were slaughtered to measure Warner-Bratzler shear force (WBSF), cooking loss, water-holding capacity, pH, fat, and moisture. All the CAPN1 markers explained variations of WBSF, showing significant additive effects except g.5709G>A. A significant marginal mean difference in genotypes of g.6545C>T (P=0.046) was found in moisture with additive effects. From the result it may be possible to use three calpain markers (g.4558G>A, g.4685C>T, and g.6545C>T) classified by RFLP and SSCP analysis in marker assisted selection programs to improve WBSF as meat tenderness in Hanwoo.

  13. Genetic variants in urinary bladder cancer: collective power of the "wimp SNPs".

    Science.gov (United States)

    Golka, Klaus; Selinski, Silvia; Lehmann, Marie-Louise; Blaszkewicz, Meinolf; Marchan, Rosemarie; Ickstadt, Katja; Schwender, Holger; Bolt, Hermann M; Hengstler, Jan G

    2011-06-01

    In recent years, genome-wide association studies (GWAS) have identified more than 300 validated associations between genetic variants and risk of approximately 70 common diseases. A small number of rare variants with a frequency of usually less than 1% are associated with a strongly enhanced risk, such as genetic variants of TP53, RB1, BRCA1, and BRCA2. Only a very small number of SNPs (with a frequency of more that 1% of the rare allele) have effects of a factor of two or higher. Examples include APOE4 in Alzheimer's disease, LOXL1 in exfoliative glaucoma, and CFH in age-related macular degeneration. However, the majority of all identified SNPs have odds ratios between 1.1 and 1.5. In the case of urinary bladder cancer, all known SNPs that have been validated in sufficiently large populations are associated with odds ratios smaller than 1.5. These SNPs are located next to the following genes: MYC, TP63, PSCA, the TERT-CLPTM1L locus, FGFR3, TACC3, NAT2, CBX6, APOBEC3A, CCNE1, and UGT1A. It is likely that these moderate risk or "wimp SNPs" interact, and because of their high number, collectively have a strong influence on whether an individual will develop cancer or not. It should be considered that variants identified so far explain only approximately 5-10% of the overall inherited risk. Possibly, the remaining variance is due to an even higher number of SNPs with odds ratios smaller than 1.1. Recent studies have provided the following information: (1) The functions of genes identified as relevant for bladder cancer focus on detoxification of carcinogens, control of the cell cycle and apoptosis, as well as maintenance of DNA integrity. (2) Many novel SNPs are far away from the protein coding regions, suggesting that these SNPs are located on distant-acting transcriptional enhancers. (3) The low odds ratio of each individual bladder cancer-associated SNP is too low to justify reasonable preventive measures. However, if the recently identified SNPs interact, they may

  14. Common variants of the PINK1 and PARL genes do not confer genetic susceptibility to schizophrenia in Han Chinese.

    Science.gov (United States)

    Li, Xiao; Zhang, Wen; Zhang, Chen; Yi, Zhenghui; Zhang, Deng-Feng; Gong, Wei; Tang, Jinsong; Wang, Dong; Lu, Weihong; Chen, Xiaogang; Fang, Yiru; Yao, Yong-Gang

    2015-04-01

    Schizophrenia is a prevalent psychiatric disorder with a complex etiology. Mitochondrial dysfunction has been frequently reported in schizophrenia. Phosphatase and tension homologue-induced kinase 1 (PINK1) and presenilin-associated rhomboid-like protease (PARL) are mitochondrial proteins, and genetic variants of these two genes may confer genetic susceptibility to schizophrenia by influencing mitochondrial function. In this study, we conducted a two-stage genetic association study to test this hypothesis. We genotyped 4 PINK1 and 5 PARL genetic variants and evaluated the potential association of the 9 SNPs with schizophrenia in two independent case-control cohorts of 2510 Han Chinese individuals. No positive association of common genetic variants of the PINK1 and PARL genes with schizophrenia was identified in our samples after Bonferroni correction. Re-analysis of the newly updated Psychiatric Genetics Consortium (PGC) data sets confirmed our negative result. Intriguingly, one PINK1 SNP (rs10916832), which showed a marginally significant association in only Hunan samples (P = 0.032), is associated with the expression of a schizophrenia susceptible gene KIF17 according to the expression quantitative trait locus (eQTL) analysis. Our study indicated that common genetic variants of the PINK1 and PARL genes are unlikely to be involved in schizophrenia. Further studies are essential to characterize the role of the PINK1 and PARL genes in schizophrenia.

  15. Effects of genetic variants previously associated with fasting glucose and insulin in the Diabetes Prevention Program.

    Directory of Open Access Journals (Sweden)

    Jose C Florez

    Full Text Available Common genetic variants have been recently associated with fasting glucose and insulin levels in white populations. Whether these associations replicate in pre-diabetes is not known. We extended these findings to the Diabetes Prevention Program, a clinical trial in which participants at high risk for diabetes were randomized to placebo, lifestyle modification or metformin for diabetes prevention. We genotyped previously reported polymorphisms (or their proxies in/near G6PC2, MTNR1B, GCK, DGKB, GCKR, ADCY5, MADD, CRY2, ADRA2A, FADS1, PROX1, SLC2A2, GLIS3, C2CD4B, IGF1, and IRS1 in 3,548 Diabetes Prevention Program participants. We analyzed variants for association with baseline glycemic traits, incident diabetes and their interaction with response to metformin or lifestyle intervention. We replicated associations with fasting glucose at MTNR1B (P<0.001, G6PC2 (P = 0.002 and GCKR (P = 0.001. We noted impaired β-cell function in carriers of glucose-raising alleles at MTNR1B (P<0.001, and an increase in the insulinogenic index for the glucose-raising allele at G6PC2 (P<0.001. The association of MTNR1B with fasting glucose and impaired β-cell function persisted at 1 year despite adjustment for the baseline trait, indicating a sustained deleterious effect at this locus. We also replicated the association of MADD with fasting proinsulin levels (P<0.001. We detected no significant impact of these variants on diabetes incidence or interaction with preventive interventions. The association of several polymorphisms with quantitative glycemic traits is replicated in a cohort of high-risk persons. These variants do not have a detectable impact on diabetes incidence or response to metformin or lifestyle modification in the Diabetes Prevention Program.

  16. Effects of genetic variants previously associated with fasting glucose and insulin in the Diabetes Prevention Program.

    Science.gov (United States)

    Florez, Jose C; Jablonski, Kathleen A; McAteer, Jarred B; Franks, Paul W; Mason, Clinton C; Mather, Kieren; Horton, Edward; Goldberg, Ronald; Dabelea, Dana; Kahn, Steven E; Arakaki, Richard F; Shuldiner, Alan R; Knowler, William C

    2012-01-01

    Common genetic variants have been recently associated with fasting glucose and insulin levels in white populations. Whether these associations replicate in pre-diabetes is not known. We extended these findings to the Diabetes Prevention Program, a clinical trial in which participants at high risk for diabetes were randomized to placebo, lifestyle modification or metformin for diabetes prevention. We genotyped previously reported polymorphisms (or their proxies) in/near G6PC2, MTNR1B, GCK, DGKB, GCKR, ADCY5, MADD, CRY2, ADRA2A, FADS1, PROX1, SLC2A2, GLIS3, C2CD4B, IGF1, and IRS1 in 3,548 Diabetes Prevention Program participants. We analyzed variants for association with baseline glycemic traits, incident diabetes and their interaction with response to metformin or lifestyle intervention. We replicated associations with fasting glucose at MTNR1B (P<0.001), G6PC2 (P = 0.002) and GCKR (P = 0.001). We noted impaired β-cell function in carriers of glucose-raising alleles at MTNR1B (P<0.001), and an increase in the insulinogenic index for the glucose-raising allele at G6PC2 (P<0.001). The association of MTNR1B with fasting glucose and impaired β-cell function persisted at 1 year despite adjustment for the baseline trait, indicating a sustained deleterious effect at this locus. We also replicated the association of MADD with fasting proinsulin levels (P<0.001). We detected no significant impact of these variants on diabetes incidence or interaction with preventive interventions. The association of several polymorphisms with quantitative glycemic traits is replicated in a cohort of high-risk persons. These variants do not have a detectable impact on diabetes incidence or response to metformin or lifestyle modification in the Diabetes Prevention Program.

  17. Genetic variants of dopamine D2 receptor impact heterodimerization with dopamine D1 receptor.

    Science.gov (United States)

    Błasiak, Ewa; Łukasiewicz, Sylwia; Szafran-Pilch, Kinga; Dziedzicka-Wasylewska, Marta

    2017-04-01

    The human dopamine D2 receptor gene has three polymorphic variants that alter its amino acid sequence: alanine substitution by valine in position 96 (V96A), proline substitution by serine in position 310 (P310S) and serine substitution by cysteine in position 311 (S311C). Their functional role has never been the object of extensive studies, even though there is some evidence that their occurrence correlates with schizophrenia. The HEK293 cell line was transfected with dopamine D1 and D2 receptors (or genetic variants of the D2 receptor), coupled to fluorescent proteins which allowed us to measure the extent of dimerization of these receptors, using a highly advanced biophysical approach (FLIM-FRET). Additionally, Fluoro-4 AM was used to examine changes in the level of calcium release after ligand stimulation of cells expressing different combinations of dopamine receptors. Using FLIM-FRET experiments we have shown that in HEK 293 expressing dopamine receptors, polymorphic mutations in the D2 receptor play a role in dimmer formation with the dopamine D1 receptor. The association level of dopamine receptors is affected by ligand administration, with variable effects depending on polymorphic variant of the D2 dopamine receptor. We have found that the level of heteromer formation is reflected by calcium ion release after ligand stimulation and have observed variations of this effect dependent on the polymorphic variant and the ligand. The data presented in this paper support the hypothesis on the role of calcium signaling regulated by the D1-D2 heteromer which may be of relevance for schizophrenia etiology. Copyright © 2016 Institute of Pharmacology, Polish Academy of Sciences. Published by Elsevier Urban & Partner Sp. z o.o. All rights reserved.

  18. [Phenotypic and genetic features of cultural-morphologic variants of Bacillus anthracis].

    Science.gov (United States)

    Tsygankova, O I; Eremenko, E I; Tsygankova, E A; Buravtseva, N P; Riazanova, A G

    2008-01-01

    Comparative analysis of MVLA-genotypes of 6 Bacillus anthracis strains and 40 their variants differing on capsule- and toxin synthesis, hemolytic, proteolytic and lecitinase activity, nutritional requirements, susceptibility to anthrax bacteriophages, virulence, immunogenicity, and presence of genes for capsule and toxin synthesis was performed. Results of phylogenetic analysis of 5 chromosome locuses and plasmid locus pXO1aat which are variable for this sample of B. anthracis cultures showed that all strains divided on 2 main clusters - A and B. Cluster A consisted of 5 genotypes whereas cluster B - of 1 genotype. All highly virulent original strains and variants with characteristic phenotype Cap(CO2)(+)(O2)(-)Tox(+)ProtA(+)Hly(+) Lec(-)Trp(+) had identical genotype in 4 groups and in 5th group differences were present only in vrrA locus. All original strains and variants with the most atypical complex of phenotypic characteristics Cap (CO2)(+)(O2)(+)Tox(-)ProtA(-)Hly(-)Lec(-)Trp(-) also had the same genotype belonging to cluster B and diverged on characteristic of 5 chromosomal VNTR locuses and pXO1aat locus from typical strains. Absence of toxin production in vitro was not related to loss of genetic determinants of toxin components. Cultures with typical characteristics, one of which was ability to produce toxin in vitro, had larger sizes of amplicons of pXO1aat locus (135 and 132 nbp), whereas atoxigenic original strains and variants with complex of atypical characteristics and identical chromosome genotype had the smallest sizes (123 bnp). All original cultures were isolated in Russia, their genotypes are described for the first time.

  19. Genetic mapping and exome sequencing identify variants associated with five novel diseases.

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    Erik G Puffenberger

    Full Text Available The Clinic for Special Children (CSC has integrated biochemical and molecular methods into a rural pediatric practice serving Old Order Amish and Mennonite (Plain children. Among the Plain people, we have used single nucleotide polymorphism (SNP microarrays to genetically map recessive disorders to large autozygous haplotype blocks (mean = 4.4 Mb that contain many genes (mean = 79. For some, uninformative mapping or large gene lists preclude disease-gene identification by Sanger sequencing. Seven such conditions were selected for exome sequencing at the Broad Institute; all had been previously mapped at the CSC using low density SNP microarrays coupled with autozygosity and linkage analyses. Using between 1 and 5 patient samples per disorder, we identified sequence variants in the known disease-causing genes SLC6A3 and FLVCR1, and present evidence to strongly support the pathogenicity of variants identified in TUBGCP6, BRAT1, SNIP1, CRADD, and HARS. Our results reveal the power of coupling new genotyping technologies to population-specific genetic knowledge and robust clinical data.

  20. Joint Identification of Genetic Variants for Physical Activity in Korean Population

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    Jayoun Kim

    2014-07-01

    Full Text Available There has been limited research on genome-wide association with physical activity (PA. This study ascertained genetic associations between PA and 344,893 single nucleotide polymorphism (SNP markers in 8842 Korean samples. PA data were obtained from a validated questionnaire that included information on PA intensity and duration. Metabolic equivalent of tasks were calculated to estimate the total daily PA level for each individual. In addition to single- and multiple-SNP association tests, a pathway enrichment analysis was performed to identify the biological significance of SNP markers. Although no significant SNP was found at genome-wide significance level via single-SNP association tests, 59 genetic variants mapped to 76 genes were identified via a multiple SNP approach using a bootstrap selection stability measure. Pathway analysis for these 59 variants showed that maturity onset diabetes of the young (MODY was enriched. Joint identification of SNPs could enable the identification of multiple SNPs with good predictive power for PA and a pathway enriched for PA.

  1. Identifying genetic variants for heart rate variability in the acetylcholine pathway.

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    Harriëtte Riese

    Full Text Available Heart rate variability is an important risk factor for cardiovascular disease and all-cause mortality. The acetylcholine pathway plays a key role in explaining heart rate variability in humans. We assessed whether 443 genotyped and imputed common genetic variants in eight key genes (CHAT, SLC18A3, SLC5A7, CHRNB4, CHRNA3, CHRNA, CHRM2 and ACHE of the acetylcholine pathway were associated with variation in an established measure of heart rate variability reflecting parasympathetic control of the heart rhythm, the root mean square of successive differences (RMSSD of normal RR intervals. The association was studied in a two stage design in individuals of European descent. First, analyses were performed in a discovery sample of four cohorts (n = 3429, discovery stage. Second, findings were replicated in three independent cohorts (n = 3311, replication stage, and finally the two stages were combined in a meta-analysis (n = 6740. RMSSD data were obtained under resting conditions. After correction for multiple testing, none of the SNPs showed an association with RMSSD. In conclusion, no common genetic variants for heart rate variability were identified in the largest and most comprehensive candidate gene study on the acetylcholine pathway to date. Future gene finding efforts for RMSSD may want to focus on hypothesis free approaches such as the genome-wide association study.

  2. Identifying Genetic Variants for Heart Rate Variability in the Acetylcholine Pathway

    Science.gov (United States)

    Riese, Harriëtte; Muñoz, Loretto M.; Hartman, Catharina A.; Ding, Xiuhua; Su, Shaoyong; Oldehinkel, Albertine J.; van Roon, Arie M.; van der Most, Peter J.; Lefrandt, Joop; Gansevoort, Ron T.; van der Harst, Pim; Verweij, Niek; Licht, Carmilla M. M.; Boomsma, Dorret I.; Hottenga, Jouke-Jan; Willemsen, Gonneke; Penninx, Brenda W. J. H.; Nolte, Ilja M.; de Geus, Eco J. C.; Wang, Xiaoling; Snieder, Harold

    2014-01-01

    Heart rate variability is an important risk factor for cardiovascular disease and all-cause mortality. The acetylcholine pathway plays a key role in explaining heart rate variability in humans. We assessed whether 443 genotyped and imputed common genetic variants in eight key genes (CHAT, SLC18A3, SLC5A7, CHRNB4, CHRNA3, CHRNA, CHRM2 and ACHE) of the acetylcholine pathway were associated with variation in an established measure of heart rate variability reflecting parasympathetic control of the heart rhythm, the root mean square of successive differences (RMSSD) of normal RR intervals. The association was studied in a two stage design in individuals of European descent. First, analyses were performed in a discovery sample of four cohorts (n = 3429, discovery stage). Second, findings were replicated in three independent cohorts (n = 3311, replication stage), and finally the two stages were combined in a meta-analysis (n = 6740). RMSSD data were obtained under resting conditions. After correction for multiple testing, none of the SNPs showed an association with RMSSD. In conclusion, no common genetic variants for heart rate variability were identified in the largest and most comprehensive candidate gene study on the acetylcholine pathway to date. Future gene finding efforts for RMSSD may want to focus on hypothesis free approaches such as the genome-wide association study. PMID:25384021

  3. On the Selection of Bistability in Genetic Regulatory Circuits

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    Ghim, Cheol-Min; Almaas, Eivind

    2008-03-01

    Bistability is a defining character of switching and memory devices. Many regulatory circuits observed in cellular reaction networks contain ``bistability motifs'' that endow a cell with efficient and reliable switching between different physiological modes of operation. One of the best characterized system, the lac operon in E. coli, has been shown to display a saddle-node bifurcation when induced by nonmetabolizable lactose analogue inducers, such as isopropylthio-β-D-galactoside (IPTG) and thio-methyl-galactoside (TMG). Motivated by the absence of bifurcation in the same system with its natural inducer, lactose, we studied the conditions for bistability and rationalized its fitness effects in the light of evolution. Stochastic simulations as well as mean-field approach confirm that history-dependent behavior as well as nongenetic inheritance, being realized by bistability motifs, may be beneficial in fluctuating environments.

  4. The effect of tobacco, XPC, ERCC2 and ERCC5 genetic variants in bladder cancer development

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    Othman Fethi

    2011-03-01

    Full Text Available Abstract Background In this work, we have conducted a case-control study in order to assess the effect of tobacco and three genetic polymorphisms in XPC, ERCC2 and ERCC5 genes (rs2228001, rs13181 and rs17655 in bladder cancer development in Tunisia. We have also tried to evaluate whether these variants affect the bladder tumor stage and grade. Methods The patients group was constituted of 193 newly diagnosed cases of bladder tumors. The controls group was constituted of non-related healthy subjects. The rs2228001, rs13181 and rs17655 polymorphisms were genotyped using a polymerase chain reaction-restriction fragment length polymorphism technique. Results Our data have reported that non smoker and light smoker patients (1-19PY are protected against bladder cancer development. Moreover, light smokers have less risk for developing advanced tumors stage. When we investigated the effect of genetic polymorphisms in bladder cancer development we have found that ERCC2 and ERCC5 variants were not implicated in the bladder cancer occurrence. However, the mutated homozygous genotype for XPC gene was associated with 2.09-fold increased risk of developing bladder cancer compared to the control carrying the wild genotype (p = 0.03, OR = 2.09, CI 95% 1.09-3.99. Finally, we have found that the XPC, ERCC2 and ERCC5 variants don't affect the tumors stage and grade. Conclusion These results suggest that the mutated homozygous genotype for XPC gene was associated with increased risk of developing bladder. However we have found no association between rs2228001, rs13181 and rs17655 polymorphisms and tumors stage and grade.

  5. Genetic variants in interleukin-6 modified risk of obstructive sleep apnea syndrome.

    Science.gov (United States)

    Zhang, Xiuqin; Liu, Reng-Yun; Lei, Zhe; Zhu, Yehan; Huang, Jian-An; Jiang, Xiefang; Liu, Zeyi; Liu, Xia; Peng, Xiaobei; Hu, Huacheng; Zhang, Hong-Tao

    2009-04-01

    Obesity and inflammation are known to correlate with the pathogenesis of obstructive sleep apnea syndrome (OSAS). Interleukin (IL)-6, an important regulator of obesity and inflammation, was reported to phenotypically increase in patients with OSAS. This study aimed to investigate whether genetic variants in IL-6 confer susceptibility to OSAS. The study population consisted of 151 patients with OSAS and 75 healthy controls from Southeast China. Five haplotype-tagging single nucleotide polymorphisms (tSNPs) were selected across 21 kb of the IL-6 locus using Haploview software V4.1. The tSNPs were amplified by polymerase chain reaction (PCR) and genotyped by restriction enzyme digestion followed by gel electrophoresis. Linkage disequilibrium (LD) and haplotype reconstruction were carried out by means of a SHEsis program. No distribution difference of any of the five tSNPs between OSAS patients and controls was observed. However, in non-obese individuals (n=117), the minor allele G (rs1800796) decreased risk of OSAS compared with the major allele C [odds ratio (OR), 0.48; 95% confidence interval (CI), 0.26-0.86; p=0.014], and the haplotype TG (rs1880242, rs1800796) conferred a significantly decreased risk of OSAS than single allele G (rs1800796) (OR, 0.39; 95% CI, 0.20-0.74; p=0.003). Moreover, the severity of sleep-disordered breathing (measured by apnea hypopnea index) increased linearly in carriers of the C variant of IL-6 -572G/C polymorphism (14.3+/-5.1, 22.0+/-3.6 and 34.8+/-3.5 for GG, CG and CC, respectively; p=0.012). To the best of our knowledge, this is the first study to suggest that genetic variants in IL-6 could modify OSAS susceptibility. SNP genotyping of IL-6 is a potential strategy for detecting the risk of breathing disordered diseases in non-obese individuals.

  6. Association between the g.296596G > A genetic variant of RELN gene and susceptibility to autism in a Chinese Han population.

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    Fu, Xiaoyan; Mei, Zhu; Sun, Lixin

    2013-12-01

    Autism is a childhood neuro-developmental disorder, and Reelin (RELN) is an important candidate gene for influencing autism. This study aimed at investigating the influence of genetic variants of the RELN gene on autism susceptibility. In this study, 205 autism patients and 210 healthy controls were recruited and the genetic variants of the RELN gene were genotyped by the created restriction site-polymerase chain reaction (CRS-PCR) method. The influence of genetic variants on autism susceptibility was analyzed by association analysis, and the g.296596G > A genetic variant in exon10 of the RELN gene was detected. The frequencies of allele/genotype in autistic patients were significantly different from those in healthy controls, and a statistically significant association was detected between this genetic variant and autism susceptibility. Our data lead to the inference that the g.296596G > A genetic variant in the RELN gene has a potential influence on autism susceptibility in the Chinese Han population.

  7. Common genetic variants in Wnt signaling pathway genes as potential prognostic biomarkers for colorectal cancer.

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    Wen-Chien Ting

    Full Text Available Compelling evidence has implicated the Wnt signaling pathway in the pathogenesis of colorectal cancer. We assessed the use of tag single nucleotide polymorphisms (tSNPs in adenomatous polyposis coli (APC/β-catenin (CTNNB1 genes to predict outcomes in patients with colorectal cancer. We selected and genotyped 10 tSNP to predict common variants across entire APC and CTNNB1 genes in 282 colorectal cancer patients. The associations of these tSNPs with distant metastasis-free survival and overall survival were evaluated by Kaplan-Meier analysis, Cox regression model, and survival tree analysis. The 5-year overall survival rate was 68.3%. Survival tree analysis identified a higher-order genetic interaction profile consisting of the APC rs565453, CTNNB1 2293303, and APC rs1816769 that was significantly associated with overall survival. The 5-year survival overall rates were 89.2%, 66.1%, and 58.8% for the low-, medium-, and high-risk genetic profiles, respectively (log-rank P = 0.001. After adjusting for possible confounders, including age, gender, carcinoembryonic antigen levels, tumor differentiation, stage, lymphovascular invasion, perineural invasion, and lymph node involvement, the genetic interaction profile remained significant. None of the studied SNPs were individually associated with distant metastasis-free survival and overall survival. Our results suggest that the genetic interaction profile among Wnt pathway SNPs might potentially increase the prognostic value in outcome prediction for colorectal cancer.

  8. An in silico approach reveals associations between genetic and epigenetic factors within regulatory elements in B cells from primary Sjögren’s syndrome patients

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    Orsia D. Konsta

    2015-08-01

    Full Text Available Recent advances in genetics have highlighted several regions and candidate genes associated with primary Sjögren's syndrome (SS, a systemic autoimmune epithelitis that combines exocrine gland dysfunctions, and focal lymphocytic infiltrations. In addition to genetic factors, it is now clear that epigenetic deregulations are present during SS and restricted to specific cell type subsets such as lymphocytes and salivary gland epithelial cells. In this study, 72 single nucleotide polymorphisms (SNPs associated with 43 SS gene risk factors were selected from publicly available and peer reviewed literature for further in silico analysis. SS risk variant location was tested revealing a broad distribution in coding sequences (5.6%, intronic sequences (55.6%, upstream/downstream genic regions (30.5%, and intergenic regions (8.3%. Moreover, a significant enrichment of regulatory motifs (promoter, enhancer, insulator, DNAse peak and eQTL characterizes SS risk variants (94.4%. Next, screening SNPs in high linkage disequilibrium (r2 ≥ 0.8 in Caucasians revealed 645 new variants including 5 SNPs with missense mutations, and indicated an enrichment of transcriptionally active motifs according to the cell type (B cells > monocytes > T cells >> A549. Finally, we looked at SS risk variants for histone markers in B cells (GM12878, monocytes (CD14+ and epithelial cells (A548. Active histone markers were associated with SS risk variants at both promoters and enhancers in B cells, and within enhancers in monocytes. In conclusion and based on the obtained in silico results, that need further confirmation, associations were observed between SS genetic risk factors and epigenetic factors and these associations predominate in B cells such as those observed at the FAM167A-BLK locus.

  9. Association of FTO and IRX3 genetic variants to obesity risk in north India.

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    Srivastava, Apurva; Mittal, Balraj; Prakash, Jai; Srivastava, Pranjal; Srivastava, Nimisha; Srivastava, Neena

    2016-09-01

    Obesity is an increasingly important health problem worldwide as well as in developing countries like India. Recent genetic studies suggest that obesity associated FTO and IRX3 are functionally linked and many effects due to genetic variants in FTO gene act through IRX3. To evaluate the association of FTO and IRX3 genetic variants towards obesity risk. North Indian individuals categorised as non-obese (BMI obese (BMI ≥ 30 kg/m(2)) were selected. FTO rs8050136, rs1421085, rs9939609, rs17817449 and IRX3 rs3751723 were genotyped by means of validated Taqman® allelic discrimination to evaluate their association with obesity by means of single locus logistic regression by SPSS ver. 19 and multi-locus linkage and haplotype analysis by SNPStats and gene-gene interaction with Generalised Multifactor Dimensionality Reduction (GMDR) ver.6. In single locus analysis, FTO rs8050136 CA (p = 0.0001; OR (95% CI) = 2.4 (1.7-3.4) and AA (p = 0.0001; OR (95% CI) = 3.1 (1.9-5.2); FTO rs1421085 TA (p = 0.0001; OR (95% CI) = 2.1 (1.4-3.0) and AA (p = 0.0001; OR (95% CI) = 3.0 (1.8-5.0); FTO rs9939609 TC (p = 0.0001; OR (95% CI) = 2.1 (1.5-3.1) and CC (p = 0.0001; OR (95% CI) = 4.2 (2.5-7.3) along with TG (p = 0.001; OR (95% CI) = 2.1 (1.3-3.2) and GG (p = 0.021; OR (95% CI) = 3.8 (1.2-11.8) genotypes of FTO rs17817449 with GT (p = 0.0001; OR (95% CI) = 2.1 (1.5-3.1) and TT (p = 0.012; OR (95% CI) = 3.3 (1.8-3.6) genotypes of IRX3 rs3751723 were significantly associated with obesity. In multi-locus analysis, SNPs of FTO and IRX3 were in strong linkage disequilibrium and in haplotype and GMDR analysis the SNPs were significantly associated with obesity risk (p genetic variants of both FTO and IRX3 genes are in high linkage disequilibrium (LD) and are associated with obesity risk in North Indians.

  10. Mammographic Breast Density and Common Genetic Variants in Breast Cancer Risk Prediction.

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    Charmaine Pei Ling Lee

    Full Text Available Known prediction models for breast cancer can potentially by improved by the addition of mammographic density and common genetic variants identified in genome-wide associations studies known to be associated with risk of the disease. We evaluated the benefit of including mammographic density and the cumulative effect of genetic variants in breast cancer risk prediction among women in a Singapore population.We estimated the risk of breast cancer using a prospective cohort of 24,161 women aged 50 to 64 from Singapore with available mammograms and known risk factors for breast cancer who were recruited between 1994 and 1997. We measured mammographic density using the medio-lateral oblique views of both breasts. Each woman's genotype for 75 SNPs was simulated based on the genotype frequency obtained from the Breast Cancer Association Consortium data and the cumulative effect was summarized by a genetic risk score (GRS. Any improvement in the performance of our proposed prediction model versus one containing only variables from the Gail model was assessed by changes in receiver-operating characteristic and predictive values.During 17 years of follow-up, 680 breast cancer cases were diagnosed. The multivariate-adjusted hazard ratios (95% confidence intervals were 1.60 (1.22-2.10, 2.20 (1.65-2.92, 2.33 (1.71-3.20, 2.12 (1.43-3.14, and 3.27 (2.24-4.76 for the corresponding mammographic density categories: 11-20cm2, 21-30cm2, 31-40cm2, 41-50cm2, 51-60cm2, and 1.10 (1.03-1.16 for GRS. At the predicted absolute 10-year risk thresholds of 2.5% and 3.0%, a model with mammographic density and GRS could correctly identify 0.9% and 0.5% more women who would develop the disease compared to a model using only the Gail variables, respectively.Mammographic density and common genetic variants can improve the discriminatory power of an established breast cancer risk prediction model among females in Singapore.

  11. Organization, Integration and Assembly of Genetic and Epigenetic Regulatory Machinery in Nuclear Microenvironments: Implications for Biological Control in Cancer

    OpenAIRE

    Stein, Gary S.; Zaidi, Sayyed K.; Stein, Janet L.; Lian, Jane B; van Wijnen, Andre; Montecino, Martin; Young, Daniel W.; Javed, Amjad; Pratap, Jitesh; Choi, Je-Yong; Ali, Syed A; Pande, Sandhya; Hassan, Mohammad Q.

    2009-01-01

    There is growing awareness that the fidelity of gene expression necessitates coordination of transcription factor metabolism and organization of genes and regulatory proteins within the three dimensional context of nuclear architecture. The regulatory machinery that governs genetic and epigenetic control of gene expression is compartmentalized in nuclear microenvironments. Temporal and spatial parameters of regulatory complex organization and assembly are functionally linked to biological con...

  12. The genetics of murine Hox loci: TAMERE, STRING, and PANTHERE to engineer chromosome variants.

    Science.gov (United States)

    Tschopp, Patrick; Duboule, Denis

    2014-01-01

    Following their duplications at the base of the vertebrate clade, Hox gene clusters underwent remarkable sub- and neo-functionalization events. Many of these evolutionary innovations can be associated with changes in the transcriptional regulation of their genes, where an intricate relationship between the structure of the gene cluster and the architecture of the surrounding genomic landscape is at play. Here, we report on a portfolio of in vivo genome engineering strategies in mice, which have been used to probe and decipher the genetic and molecular underpinnings of the complex regulatory mechanisms implemented at these loci.

  13. Genetic Analysis of long-lived families reveals novel variants influencing high density-lipoprotein cholesterol

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    Mary F Feitosa

    2014-06-01

    Full Text Available The plasma levels of high-density lipoprotein cholesterol (HDL have an inverse relationship to the risks of atherosclerosis and cardiovascular disease, and have also been associated with longevity. We sought to identify novel loci for HDL that could potentially provide new insights into biological regulation of HDL metabolism in healthy-longevous subjects. We performed a genome-wide association scan on HDL using a mixed model approach to account for family structure using kinship coefficients. A total of 4,114 subjects of European descent (480 families were genotyped at ~2.3 million SNPs and ~38 million SNPs were imputed using the 1000 Genome Cosmopolitan reference panel in MACH. We identified novel variants near-NLRP1 (17p13 associated with an increase of HDL levels at genome-wide significant level (p< 5.0E-08. Additionally, several CETP (16q21 and ZNF259-APOA5-A4-C3-A1 (11q23.3 variants associated with HDL were found, replicating those previously reported in the literature. A possible regulatory variant upstream of NLRP1 that is associated with HDL in these elderly LLFS subjects may also contribute to their longevity and health. Our NLRP1 intergenic SNPs show a potential regulatory function in ENCODE; however, it is not clear whether they regulate NLRP1 or other more remote gene. NLRP1 plays an important role in the induction of apoptosis, and its inflammasome is critical for mediating innate immune responses. Nlrp1a (a mouse ortholog of human NLRP1 interacts with SREBP-1a (17p11 which has a fundamental role in lipid concentration and composition, and is involved in innate immune response in macrophages. The NLRP1 region is conserved in mammals, but also has evolved adaptively showing signals of positive selection in European populations that might confer an advantage. NLRP1 intergenic SNPs have also been associated with immunity/inflammasome disorders which highlights the biological importance of this chromosomal region.

  14. Common genetic variants, acting additively, are a major source of risk for autism

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    Klei Lambertus

    2012-10-01

    Full Text Available Abstract Background Autism spectrum disorders (ASD are early onset neurodevelopmental syndromes typified by impairments in reciprocal social interaction and communication, accompanied by restricted and repetitive behaviors. While rare and especially de novo genetic variation are known to affect liability, whether common genetic polymorphism plays a substantial role is an open question and the relative contribution of genes and environment is contentious. It is probable that the relative contributions of rare and common variation, as well as environment, differs between ASD families having only a single affected individual (simplex versus multiplex families who have two or more affected individuals. Methods By using quantitative genetics techniques and the contrast of ASD subjects to controls, we estimate what portion of liability can be explained by additive genetic effects, known as narrow-sense heritability. We evaluate relatives of ASD subjects using the same methods to evaluate the assumptions of the additive model and partition families by simplex/multiplex status to determine how heritability changes with status. Results By analyzing common variation throughout the genome, we show that common genetic polymorphism exerts substantial additive genetic effects on ASD liability and that simplex/multiplex family status has an impact on the identified composition of that risk. As a fraction of the total variation in liability, the estimated narrow-sense heritability exceeds 60% for ASD individuals from multiplex families and is approximately 40% for simplex families. By analyzing parents, unaffected siblings and alleles not transmitted from parents to their affected children, we conclude that the data for simplex ASD families follow the expectation for additive models closely. The data from multiplex families deviate somewhat from an additive model, possibly due to parental assortative mating. Conclusions Our results, when viewed in the context

  15. Phenome Wide Association Studies demonstrating pleiotropy of genetic variants within FTO with and without adjustment for body mass index

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    Robert Michael Cronin

    2014-08-01

    Full Text Available Phenome-wide association studies (PheWAS have demonstrated utility in validating genetic associations derived from traditional genetic studies as well as identifying novel genetic associations. Here we used an electronic health record (EHR-based PheWAS to explore pleiotropy of genetic variants in the fat mass and obesity associated gene (FTO, some of which have been previously associated with obesity and type 2 diabetes (T2D. We used a population of 10,487 individuals of European ancestry with genome-wide genotyping from the Electronic Medical Records and Genomics (eMERGE Network and another population of 13,711 individuals of European ancestry from the BioVU DNA biobank at Vanderbilt genotyped using Illumina HumanExome BeadChip. A meta-analysis of the two study populations replicated the well-described associations between FTO variants and obesity (odds ratio [OR]=1.25, 95% Confidence Interval=1.11-1.24, p=2.10 x 10 9 and FTO variants and T2D (OR=1.14, 95% CI=1.08-1.21, p=2.34 x 10 6. The meta-analysis also demonstrated that FTO variant rs8050136 was significantly associated with sleep apnea (OR=1.14, 95% CI=1.07-1.22, p=3.33 x 10 5; however, the association was attenuated after adjustment for body mass index (BMI. Novel phenotype associations with obesity-associated FTO variants included fibrocystic breast disease (rs9941349, OR=0.81, 95% CI=0.74-0.91, p=5.41x10 5 and trends toward associations with nonalcoholic liver disease and gram-positive bacterial infections. FTO variants not associated with obesity demonstrated other potential disease associations including noninflammatory disorders of the cervix and chronic periodontitis. These results suggest that genetic variants in FTO may have pleiotropic associations, some of which are not mediated by obesity.

  16. Mitochondrial DNA variant at HVI region as a candidate of genetic markers of type 2 diabetes

    Science.gov (United States)

    Gumilar, Gun Gun; Purnamasari, Yunita; Setiadi, Rahmat

    2016-02-01

    Mitochondrial DNA (mtDNA) is maternally inherited. mtDNA mutations which can contribute to the excess of maternal inheritance of type 2 diabetes. Due to the high mutation rate, one of the areas in the mtDNA that is often associated with the disease is the hypervariable region I (HVI). Therefore, this study was conducted to determine the genetic variants of human mtDNA HVI that related to the type 2 diabetes in four samples that were taken from four generations in one lineage. Steps being taken include the lyses of hair follicles, amplification of mtDNA HVI fragment using Polymerase Chain Reaction (PCR), detection of PCR products through agarose gel electrophoresis technique, the measurement of the concentration of mtDNA using UV-Vis spectrophotometer, determination of the nucleotide sequence via direct sequencing method and analysis of the sequencing results using SeqMan DNASTAR program. Based on the comparison between nucleotide sequence of samples and revised Cambridge Reference Sequence (rCRS) obtained six same mutations that these are C16147T, T16189C, C16193del, T16127C, A16235G, and A16293C. After comparing the data obtained to the secondary data from Mitomap and NCBI, it were found that two mutations, T16189C and T16217C, become candidates as genetic markers of type 2 diabetes even the mutations were found also in the generations of undiagnosed type 2 diabetes. The results of this study are expected to give contribution to the collection of human mtDNA database of genetic variants that associated to metabolic diseases, so that in the future it can be utilized in various fields, especially in medicine.

  17. Fixed Points in Discrete Models for Regulatory Genetic Networks

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    Orozco Edusmildo

    2007-01-01

    Full Text Available It is desirable to have efficient mathematical methods to extract information about regulatory iterations between genes from repeated measurements of gene transcript concentrations. One piece of information is of interest when the dynamics reaches a steady state. In this paper we develop tools that enable the detection of steady states that are modeled by fixed points in discrete finite dynamical systems. We discuss two algebraic models, a univariate model and a multivariate model. We show that these two models are equivalent and that one can be converted to the other by means of a discrete Fourier transform. We give a new, more general definition of a linear finite dynamical system and we give a necessary and sufficient condition for such a system to be a fixed point system, that is, all cycles are of length one. We show how this result for generalized linear systems can be used to determine when certain nonlinear systems (monomial dynamical systems over finite fields are fixed point systems. We also show how it is possible to determine in polynomial time when an ordinary linear system (defined over a finite field is a fixed point system. We conclude with a necessary condition for a univariate finite dynamical system to be a fixed point system.

  18. Case-control study for colorectal cancer genetic susceptibility in EPICOLON: previously identified variants and mucins

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    Moreno Victor

    2011-08-01

    Full Text Available Abstract Background Colorectal cancer (CRC is the second leading cause of cancer death in developed countries. Familial aggregation in CRC is also important outside syndromic forms and, in this case, a polygenic model with several common low-penetrance alleles contributing to CRC genetic predisposition could be hypothesized. Mucins and GALNTs (N-acetylgalactosaminyltransferase are interesting candidates for CRC genetic susceptibility and have not been previously evaluated. We present results for ten genetic variants linked to CRC risk in previous studies (previously identified category and 18 selected variants from the mucin gene family in a case-control association study from the Spanish EPICOLON consortium. Methods CRC cases and matched controls were from EPICOLON, a prospective, multicenter, nationwide Spanish initiative, comprised of two independent stages. Stage 1 corresponded to 515 CRC cases and 515 controls, whereas stage 2 consisted of 901 CRC cases and 909 controls. Also, an independent cohort of 549 CRC cases and 599 controls outside EPICOLON was available for additional replication. Genotyping was performed for ten previously identified SNPs in ADH1C, APC, CCDN1, IL6, IL8, IRS1, MTHFR, PPARG, VDR and ARL11, and 18 selected variants in the mucin gene family. Results None of the 28 SNPs analyzed in our study was found to be associated with CRC risk. Although four SNPs were significant with a P-value ADH1C (OR = 1.63, 95% CI = 1.06-2.50, P-value = 0.02, recessive, rs1800795 in IL6 (OR = 1.62, 95% CI = 1.10-2.37, P-value = 0.01, recessive, rs3803185 in ARL11 (OR = 1.58, 95% CI = 1.17-2.15, P-value = 0.007, codominant, and rs2102302 in GALNTL2 (OR = 1.20, 95% CI = 1.00-1.44, P-value = 0.04, log-additive 0, 1, 2 alleles], only rs3803185 achieved statistical significance in EPICOLON stage 2 (OR = 1.34, 95% CI = 1.06-1.69, P-value = 0.01, recessive. In the joint analysis for both stages, results were only significant for rs3803185 (OR = 1

  19. Genetic analysis of allelic variants, single-step mutations, three allelic variants of the 15 STR loci in the population of Northeast Bosnia

    Directory of Open Access Journals (Sweden)

    Hadžiavdić Vesna

    2013-01-01

    Full Text Available Diversity of nuclear DNA microsatellite markers were analyzed in a reference sample of the population of northeast Bosnia. 437 samples taken from unrelated individuals were processed and three samples of paternity proof were shown. Detection effectiveness profile of the research, points to a valid choice of method of extraction, amplification and genotyping STR loci with PowerPlextm16. Genetic analysis of allelic variants of the 15 STR loci detected 17 samples determined as microvariants. Samples were divided into 15 different allelic variants at 7 different loci, and are: in locus D7S820, D16S539, D3S1358, D18S51, PENTA D, PENTA E and in locus vWA. Genetic analysis of mutations in cases of paternity determined three examples of single-step mutations in the loci FGA, Penta D and D3S1358. Genetic analysis of observed STR loci detected three allelic variant of genotype combination 7/10/11.3 in locus D7S820 Type II.

  20. Short communication: Genetic variants of Sarcocystis cruzi in infected Malaysian cattle based on 18S rDNA.

    Science.gov (United States)

    Ng, Yit Han; Fong, Mun Yik; Subramaniam, Vellayan; Shahari, Shahhaziq; Lau, Yee Ling

    2015-12-01

    Sarcocystis species are pathogenic parasites that infect a wide range of animals, including cattle. A high prevalence of cattle sarcocystosis has been reported worldwide, but its status is unknown in Malaysia. This study focused on utilizing 18S rDNA to identify Sarcocystis species in Malaysian cattle and to determine their genetic variants. In this study, only Sarcocystis cruzi was detected in Malaysian cattle. The intra-species S. cruzi phylogenetic tree analysis and principal coordinate analysis (PCoA), respectively displayed two minor groups among the parasite isolates. This finding was supported by high Wright FST value (FST=0.647). The definitive hosts (dogs) may play a fundamental role in the development of S. cruzi genetic variants. Additionally, the existence of microheterogeneity within the S. cruzi merozoites and/or distinct genetic variants arisen from independent merozoites in mature sarcocysts, possibly contributed to the existence of intra-species variations within the population.

  1. Evaluation of common genetic variants in 82 candidate genes as risk factors for neural tube defects

    Directory of Open Access Journals (Sweden)

    Pangilinan Faith

    2012-08-01

    Full Text Available Abstract Background Neural tube defects (NTDs are common birth defects (~1 in 1000 pregnancies in the US and Europe that have complex origins, including environmental and genetic factors. A low level of maternal folate is one well-established risk factor, with maternal periconceptional folic acid supplementation reducing the occurrence of NTD pregnancies by 50-70%. Gene variants in the folate metabolic pathway (e.g., MTHFR rs1801133 (677 C > T and MTHFD1 rs2236225 (R653Q have been found to increase NTD risk. We hypothesized that variants in additional folate/B12 pathway genes contribute to NTD risk. Methods A tagSNP approach was used to screen common variation in 82 candidate genes selected from the folate/B12 pathway and NTD mouse models. We initially genotyped polymorphisms in 320 Irish triads (NTD cases and their parents, including 301 cases and 341 Irish controls to perform case–control and family based association tests. Significantly associated polymorphisms were genotyped in a secondary set of 250 families that included 229 cases and 658 controls. The combined results for 1441 SNPs were used in a joint analysis to test for case and maternal effects. Results Nearly 70 SNPs in 30 genes were found to be associated with NTDs at the p MFTC, CDKN2A, ADA, PEMT, CUBN, GART, DNMT3A, MTHFD1 and T (Brachyury and included the known NTD risk factor MTHFD1 R653Q (rs2236225. The single strongest signal was observed in a new candidate, MFTC rs17803441 (OR = 1.61 [1.23-2.08], p = 0.0003 for the minor allele. Though nominally significant, these associations did not remain significant after correction for multiple hypothesis testing. Conclusions To our knowledge, with respect to sample size and scope of evaluation of candidate polymorphisms, this is the largest NTD genetic association study reported to date. The scale of the study and the stringency of correction are likely to have contributed to real associations failing to survive

  2. Evaluation of common genetic variants in 82 candidate genes as risk factors for neural tube defects

    LENUS (Irish Health Repository)

    Pangilinan, Faith

    2012-08-02

    AbstractBackgroundNeural tube defects (NTDs) are common birth defects (~1 in 1000 pregnancies in the US and Europe) that have complex origins, including environmental and genetic factors. A low level of maternal folate is one well-established risk factor, with maternal periconceptional folic acid supplementation reducing the occurrence of NTD pregnancies by 50-70%. Gene variants in the folate metabolic pathway (e.g., MTHFR rs1801133 (677 C > T) and MTHFD1 rs2236225 (R653Q)) have been found to increase NTD risk. We hypothesized that variants in additional folate\\/B12 pathway genes contribute to NTD risk.MethodsA tagSNP approach was used to screen common variation in 82 candidate genes selected from the folate\\/B12 pathway and NTD mouse models. We initially genotyped polymorphisms in 320 Irish triads (NTD cases and their parents), including 301 cases and 341 Irish controls to perform case–control and family based association tests. Significantly associated polymorphisms were genotyped in a secondary set of 250 families that included 229 cases and 658 controls. The combined results for 1441 SNPs were used in a joint analysis to test for case and maternal effects.ResultsNearly 70 SNPs in 30 genes were found to be associated with NTDs at the p < 0.01 level. The ten strongest association signals (p-value range: 0.0003–0.0023) were found in nine genes (MFTC, CDKN2A, ADA, PEMT, CUBN, GART, DNMT3A, MTHFD1 and T (Brachyury)) and included the known NTD risk factor MTHFD1 R653Q (rs2236225). The single strongest signal was observed in a new candidate, MFTC rs17803441 (OR = 1.61 [1.23-2.08], p = 0.0003 for the minor allele). Though nominally significant, these associations did not remain significant after correction for multiple hypothesis testing.ConclusionsTo our knowledge, with respect to sample size and scope of evaluation of candidate polymorphisms, this is the largest NTD genetic association study reported to date. The scale of the study and the

  3. Common genetic variants and modification of penetrance of BRCA2-associated breast cancer.

    Directory of Open Access Journals (Sweden)

    Mia M Gaudet

    2010-10-01

    Full Text Available The considerable uncertainty regarding cancer risks associated with inherited mutations of BRCA2 is due to unknown factors. To investigate whether common genetic variants modify penetrance for BRCA2 mutation carriers, we undertook a two-staged genome-wide association study in BRCA2 mutation carriers. In stage 1 using the Affymetrix 6.0 platform, 592,163 filtered SNPs genotyped were available on 899 young (<40 years affected and 804 unaffected carriers of European ancestry. Associations were evaluated using a survival-based score test adjusted for familial correlations and stratified by country of the study and BRCA2*6174delT mutation status. The genomic inflation factor (λ was 1.011. The stage 1 association analysis revealed multiple variants associated with breast cancer risk: 3 SNPs had p-values<10(-5 and 39 SNPs had p-values<10(-4. These variants included several previously associated with sporadic breast cancer risk and two novel loci on chromosome 20 (rs311499 and chromosome 10 (rs16917302. The chromosome 10 locus was in ZNF365, which contains another variant that has recently been associated with breast cancer in an independent study of unselected cases. In stage 2, the top 85 loci from stage 1 were genotyped in 1,264 cases and 1,222 controls. Hazard ratios (HR and 95% confidence intervals (CI for stage 1 and 2 were combined and estimated using a retrospective likelihood approach, stratified by country of residence and the most common mutation, BRCA2*6174delT. The combined per allele HR of the minor allele for the novel loci rs16917302 was 0.75 (95% CI 0.66-0.86, and for rs311499 was 0.72 (95% CI 0.61-0.85, . FGFR2 rs2981575 had the strongest association with breast cancer risk (per allele HR = 1.28, 95% CI 1.18-1.39, . These results indicate that SNPs that modify BRCA2 penetrance identified by an agnostic approach thus far are limited to variants that also modify risk of sporadic BRCA2 wild-type breast cancer.

  4. Common genetic variants and modification of penetrance of BRCA2-associated breast cancer.

    Science.gov (United States)

    Gaudet, Mia M; Kirchhoff, Tomas; Green, Todd; Vijai, Joseph; Korn, Joshua M; Guiducci, Candace; Segrè, Ayellet V; McGee, Kate; McGuffog, Lesley; Kartsonaki, Christiana; Morrison, Jonathan; Healey, Sue; Sinilnikova, Olga M; Stoppa-Lyonnet, Dominique; Mazoyer, Sylvie; Gauthier-Villars, Marion; Sobol, Hagay; Longy, Michel; Frenay, Marc; GEMO Study Collaborators; Hogervorst, Frans B L; Rookus, Matti A; Collée, J Margriet; Hoogerbrugge, Nicoline; van Roozendaal, Kees E P; Piedmonte, Marion; Rubinstein, Wendy; Nerenstone, Stacy; Van Le, Linda; Blank, Stephanie V; Caldés, Trinidad; de la Hoya, Miguel; Nevanlinna, Heli; Aittomäki, Kristiina; Lazaro, Conxi; Blanco, Ignacio; Arason, Adalgeir; Johannsson, Oskar T; Barkardottir, Rosa B; Devilee, Peter; Olopade, Olofunmilayo I; Neuhausen, Susan L; Wang, Xianshu; Fredericksen, Zachary S; Peterlongo, Paolo; Manoukian, Siranoush; Barile, Monica; Viel, Alessandra; Radice, Paolo; Phelan, Catherine M; Narod, Steven; Rennert, Gad; Lejbkowicz, Flavio; Flugelman, Anath; Andrulis, Irene L; Glendon, Gord; Ozcelik, Hilmi; Toland, Amanda E; Montagna, Marco; D'Andrea, Emma; Friedman, Eitan; Laitman, Yael; Borg, Ake; Beattie, Mary; Ramus, Susan J; Domchek, Susan M; Nathanson, Katherine L; Rebbeck, Tim; Spurdle, Amanda B; Chen, Xiaoqing; Holland, Helene; John, Esther M; Hopper, John L; Buys, Saundra S; Daly, Mary B; Southey, Melissa C; Terry, Mary Beth; Tung, Nadine; Overeem Hansen, Thomas V; Nielsen, Finn C; Greene, Mark H; Greene, Mark I; Mai, Phuong L; Osorio, Ana; Durán, Mercedes; Andres, Raquel; Benítez, Javier; Weitzel, Jeffrey N; Garber, Judy; Hamann, Ute; Peock, Susan; Cook, Margaret; Oliver, Clare; Frost, Debra; Platte, Radka; Evans, D Gareth; Lalloo, Fiona; Eeles, Ros; Izatt, Louise; Walker, Lisa; Eason, Jacqueline; Barwell, Julian; Godwin, Andrew K; Schmutzler, Rita K; Wappenschmidt, Barbara; Engert, Stefanie; Arnold, Norbert; Gadzicki, Dorothea; Dean, Michael; Gold, Bert; Klein, Robert J; Couch, Fergus J; Chenevix-Trench, Georgia; Easton, Douglas F; Daly, Mark J; Antoniou, Antonis C; Altshuler, David M; Offit, Kenneth

    2010-10-28

    The considerable uncertainty regarding cancer risks associated with inherited mutations of BRCA2 is due to unknown factors. To investigate whether common genetic variants modify penetrance for BRCA2 mutation carriers, we undertook a two-staged genome-wide association study in BRCA2 mutation carriers. In stage 1 using the Affymetrix 6.0 platform, 592,163 filtered SNPs genotyped were available on 899 young (<40 years) affected and 804 unaffected carriers of European ancestry. Associations were evaluated using a survival-based score test adjusted for familial correlations and stratified by country of the study and BRCA2*6174delT mutation status. The genomic inflation factor (λ) was 1.011. The stage 1 association analysis revealed multiple variants associated with breast cancer risk: 3 SNPs had p-values<10(-5) and 39 SNPs had p-values<10(-4). These variants included several previously associated with sporadic breast cancer risk and two novel loci on chromosome 20 (rs311499) and chromosome 10 (rs16917302). The chromosome 10 locus was in ZNF365, which contains another variant that has recently been associated with breast cancer in an independent study of unselected cases. In stage 2, the top 85 loci from stage 1 were genotyped in 1,264 cases and 1,222 controls. Hazard ratios (HR) and 95% confidence intervals (CI) for stage 1 and 2 were combined and estimated using a retrospective likelihood approach, stratified by country of residence and the most common mutation, BRCA2*6174delT. The combined per allele HR of the minor allele for the novel loci rs16917302 was 0.75 (95% CI 0.66-0.86, ) and for rs311499 was 0.72 (95% CI 0.61-0.85, ). FGFR2 rs2981575 had the strongest association with breast cancer risk (per allele HR = 1.28, 95% CI 1.18-1.39, ). These results indicate that SNPs that modify BRCA2 penetrance identified by an agnostic approach thus far are limited to variants that also modify risk of sporadic BRCA2 wild-type breast cancer.

  5. Common genetic variants and modification of penetrance of BRCA2-associated breast cancer.

    Directory of Open Access Journals (Sweden)

    Mia M Gaudet

    2010-10-01

    Full Text Available The considerable uncertainty regarding cancer risks associated with inherited mutations of BRCA2 is due to unknown factors. To investigate whether common genetic variants modify penetrance for BRCA2 mutation carriers, we undertook a two-staged genome-wide association study in BRCA2 mutation carriers. In stage 1 using the Affymetrix 6.0 platform, 592,163 filtered SNPs genotyped were available on 899 young (<40 years affected and 804 unaffected carriers of European ancestry. Associations were evaluated using a survival-based score test adjusted for familial correlations and stratified by country of the study and BRCA2*6174delT mutation status. The genomic inflation factor (λ was 1.011. The stage 1 association analysis revealed multiple variants associated with breast cancer risk: 3 SNPs had p-values<10(-5 and 39 SNPs had p-values<10(-4. These variants included several previously associated with sporadic breast cancer risk and two novel loci on chromosome 20 (rs311499 and chromosome 10 (rs16917302. The chromosome 10 locus was in ZNF365, which contains another variant that has recently been associated with breast cancer in an independent study of unselected cases. In stage 2, the top 85 loci from stage 1 were genotyped in 1,264 cases and 1,222 controls. Hazard ratios (HR and 95% confidence intervals (CI for stage 1 and 2 were combined and estimated using a retrospective likelihood approach, stratified by country of residence and the most common mutation, BRCA2*6174delT. The combined per allele HR of the minor allele for the novel loci rs16917302 was 0.75 (95% CI 0.66-0.86, and for rs311499 was 0.72 (95% CI 0.61-0.85, . FGFR2 rs2981575 had the strongest association with breast cancer risk (per allele HR = 1.28, 95% CI 1.18-1.39, . These results indicate that SNPs that modify BRCA2 penetrance identified by an agnostic approach thus far are limited to variants that also modify risk of sporadic BRCA2 wild-type breast cancer.

  6. Common Genetic Variants and Modification of Penetrance of BRCA2-Associated Breast Cancer

    Science.gov (United States)

    Guiducci, Candace; Segrè, Ayellet V.; McGee, Kate; McGuffog, Lesley; Kartsonaki, Christiana; Morrison, Jonathan; Healey, Sue; Sinilnikova, Olga M.; Stoppa-Lyonnet, Dominique; Mazoyer, Sylvie; Gauthier-Villars, Marion; Sobol, Hagay; Longy, Michel; Frenay, Marc; GEMO Study Collaborators; Hogervorst, Frans B. L.; Rookus, Matti A.; Collée, J. Margriet; Hoogerbrugge, Nicoline; van Roozendaal, Kees E. P.; Piedmonte, Marion; Rubinstein, Wendy; Nerenstone, Stacy; Van Le, Linda; Blank, Stephanie V.; Caldés, Trinidad; de la Hoya, Miguel; Nevanlinna, Heli; Aittomäki, Kristiina; Lazaro, Conxi; Blanco, Ignacio; Arason, Adalgeir; Johannsson, Oskar T.; Barkardottir, Rosa B.; Devilee, Peter; Olopade, Olofunmilayo I.; Neuhausen, Susan L.; Wang, Xianshu; Fredericksen, Zachary S.; Peterlongo, Paolo; Manoukian, Siranoush; Barile, Monica; Viel, Alessandra; Radice, Paolo; Phelan, Catherine M.; Narod, Steven; Rennert, Gad; Lejbkowicz, Flavio; Flugelman, Anath; Andrulis, Irene L.; Glendon, Gord; Ozcelik, Hilmi; Toland, Amanda E.; Montagna, Marco; D'Andrea, Emma; Friedman, Eitan; Laitman, Yael; Borg, Ake; Beattie, Mary; Ramus, Susan J.; Domchek, Susan M.; Nathanson, Katherine L.; Rebbeck, Tim; Spurdle, Amanda B.; Chen, Xiaoqing; Holland, Helene; John, Esther M.; Hopper, John L.; Buys, Saundra S.; Daly, Mary B.; Southey, Melissa C.; Terry, Mary Beth; Tung, Nadine; Overeem Hansen, Thomas V.; Nielsen, Finn C.; Greene, Mark I.; Mai, Phuong L.; Osorio, Ana; Durán, Mercedes; Andres, Raquel; Benítez, Javier; Weitzel, Jeffrey N.; Garber, Judy; Hamann, Ute; Peock, Susan; Cook, Margaret; Oliver, Clare; Frost, Debra; Platte, Radka; Evans, D. Gareth; Lalloo, Fiona; Eeles, Ros; Izatt, Louise; Walker, Lisa; Eason, Jacqueline; Barwell, Julian; Godwin, Andrew K.; Schmutzler, Rita K.; Wappenschmidt, Barbara; Engert, Stefanie; Arnold, Norbert; Gadzicki, Dorothea; Dean, Michael; Gold, Bert; Klein, Robert J.; Couch, Fergus J.; Chenevix-Trench, Georgia; Easton, Douglas F.; Daly, Mark J.; Antoniou, Antonis C.; Altshuler, David M.; Offit, Kenneth

    2010-01-01

    The considerable uncertainty regarding cancer risks associated with inherited mutations of BRCA2 is due to unknown factors. To investigate whether common genetic variants modify penetrance for BRCA2 mutation carriers, we undertook a two-staged genome-wide association study in BRCA2 mutation carriers. In stage 1 using the Affymetrix 6.0 platform, 592,163 filtered SNPs genotyped were available on 899 young (<40 years) affected and 804 unaffected carriers of European ancestry. Associations were evaluated using a survival-based score test adjusted for familial correlations and stratified by country of the study and BRCA2*6174delT mutation status. The genomic inflation factor (λ) was 1.011. The stage 1 association analysis revealed multiple variants associated with breast cancer risk: 3 SNPs had p-values<10−5 and 39 SNPs had p-values<10−4. These variants included several previously associated with sporadic breast cancer risk and two novel loci on chromosome 20 (rs311499) and chromosome 10 (rs16917302). The chromosome 10 locus was in ZNF365, which contains another variant that has recently been associated with breast cancer in an independent study of unselected cases. In stage 2, the top 85 loci from stage 1 were genotyped in 1,264 cases and 1,222 controls. Hazard ratios (HR) and 95% confidence intervals (CI) for stage 1 and 2 were combined and estimated using a retrospective likelihood approach, stratified by country of residence and the most common mutation, BRCA2*6174delT. The combined per allele HR of the minor allele for the novel loci rs16917302 was 0.75 (95% CI 0.66–0.86, ) and for rs311499 was 0.72 (95% CI 0.61–0.85, ). FGFR2 rs2981575 had the strongest association with breast cancer risk (per allele HR = 1.28, 95% CI 1.18–1.39, ). These results indicate that SNPs that modify BRCA2 penetrance identified by an agnostic approach thus far are limited to variants that also modify risk of sporadic BRCA2 wild-type breast cancer. PMID:21060860

  7. Large-scale genetic perturbations reveal regulatory networks and an abundance of gene-specific repressors.

    Science.gov (United States)

    Kemmeren, Patrick; Sameith, Katrin; van de Pasch, Loes A L; Benschop, Joris J; Lenstra, Tineke L; Margaritis, Thanasis; O'Duibhir, Eoghan; Apweiler, Eva; van Wageningen, Sake; Ko, Cheuk W; van Heesch, Sebastiaan; Kashani, Mehdi M; Ampatziadis-Michailidis, Giannis; Brok, Mariel O; Brabers, Nathalie A C H; Miles, Anthony J; Bouwmeester, Diane; van Hooff, Sander R; van Bakel, Harm; Sluiters, Erik; Bakker, Linda V; Snel, Berend; Lijnzaad, Philip; van Leenen, Dik; Groot Koerkamp, Marian J A; Holstege, Frank C P

    2014-04-24

    To understand regulatory systems, it would be useful to uniformly determine how different components contribute to the expression of all other genes. We therefore monitored mRNA expression genome-wide, for individual deletions of one-quarter of yeast genes, focusing on (putative) regulators. The resulting genetic perturbation signatures reflect many different properties. These include the architecture of protein complexes and pathways, identification of expression changes compatible with viability, and the varying responsiveness to genetic perturbation. The data are assembled into a genetic perturbation network that shows different connectivities for different classes of regulators. Four feed-forward loop (FFL) types are overrepresented, including incoherent type 2 FFLs that likely represent feedback. Systematic transcription factor classification shows a surprisingly high abundance of gene-specific repressors, suggesting that yeast chromatin is not as generally restrictive to transcription as is often assumed. The data set is useful for studying individual genes and for discovering properties of an entire regulatory system.

  8. Functional testing strategy for coding genetic variants of unclear significance in MLH1 in Lynch syndrome diagnosis.

    Science.gov (United States)

    Hinrichsen, Inga; Schäfer, Dieter; Langer, Deborah; Köger, Nicole; Wittmann, Margarethe; Aretz, Stefan; Steinke, Verena; Holzapfel, Stefanie; Trojan, Jörg; König, Rainer; Zeuzem, Stefan; Brieger, Angela; Plotz, Guido

    2015-02-01

    Lynch syndrome is caused by inactivating mutations in the MLH1 gene, but genetic variants of unclear significance frequently preclude diagnosis. Functional testing can reveal variant-conferred defects in gene or protein function. Based on functional defect frequencies and clinical applicability of test systems, we developed a functional testing strategy aimed at efficiently detecting pathogenic defects in coding MLH1 variants. In this strategy, tests of repair activity and expression are prioritized over analyses of subcellular protein localization and messenger RNA (mRNA) formation. This strategy was used for four unclear coding MLH1 variants (p.Asp41His, p.Leu507Phe, p.Gln689Arg, p.Glu605del + p.Val716Met). Expression was analyzed using a transfection system, mismatch repair (MMR) activity by complementation in vitro, mRNA formation by reverse transcriptase-PCR in carrier lymphocyte mRNA, and subcellular localization with dye-labeled fusion constructs. All tests included clinically meaningful controls. The strategy enabled efficient identification of defects in two unclear variants: the p.Asp41His variant showed loss of MMR activity, whereas the compound variant p.Glu605del + p.Val716Met had a defect of expression. This expression defect was significantly stronger than the pathogenic expression reference variant analyzed in parallel, therefore the defect of the compound variant is also pathogenic. Interestingly, the expression defect was caused additively by both of the compound variants, at least one of which is non-pathogenic when occurring by itself. Tests were neutral for p.Leu507Phe and p.Gln689Arg, and the results were consistent with available clinical data. We finally discuss the improved sensitivity and efficiency of the applied strategy and its limitations in analyzing unclear coding MLH1 variants.

  9. [Cyclooxygenase 2 genetic variant interacting with tobacco smoking and the risk of lung cancer].

    Science.gov (United States)

    Zhang, Zhi; Liu, Rui; Yang, Zhao-huan; Wang, Guang-xia; Shao, Sha-sha; Song, Qin-qin; Zhang, Xue-mei

    2013-08-01

    To explore the association of -1195G > A genetic variant in the promoter region of cyclooxygenase 2 genetic (COX2) with the genetic susceptibility of lung cancer and its interaction with smoking. Totally, 956 lung cancer patients recruited between January 2000 and December 2008 at Cancer Hospital, Chinese Academy of Medical Science as the case group, and 994 frequency-matched controls were randomly selected from a pool of cancer-free subjects recruited from a nutritional survey. All subjects were ethnic Han Chinese. There was no sex, age restrictions. Case group and control group were matched. Informed consent was obtained and 2 ml peripheral blood was collected from each subject. All samples were genotyped by polymerase chain reaction-restriction fragment length polymorphism method, smoking status of the subjects was surveyed.While the OR and 95% CI were estimated by logistic regression to evaluate the relation of COX2 -1195G > A variant and the risk of lung cancer. The genetic allele COX2 -1195AA of control group and case group were 24.9% (247/994) and 28.3% (271/956) . Case-control analysis showed an increased risk of developing lung cancer for -1195AA genotype carriers (OR = 1.36, 95% CI: 1.03-1.79), compared with -1195GG carriers. When stratified by smoking status, the significant increased risk of lung cancer was found among smokers with COX2-1195AA genotype, with the OR (95%CI) was 1.56 (1.08-2.25); while among non-smokers, difference of lung cancer risk was not found among different genotypes (OR = 1.17; 95%CI: 0.77-1.61). Among heavy smokers (pack-year >20), -1195AA and -1195AG genotype carriers have significant increased risk of lung cancer with 1.85 (1.16-2.95) and 1.62(1.08-2.43) of OR (95%CI), respectively; among light smokers (pack-year ≤ 20), the OR (95%CI) of lung cancer risk in -1195AG and -1195AA genotype carriers were 0.78 (0.47-1.30) and 1.08 (0.60-1.94), respectively. Genetic polymorphism in the promoter of COX2 gene interacting with smoking

  10. Shared genetic susceptibility to ischemic stroke and coronary artery disease: a genome-wide analysis of common variants.

    Science.gov (United States)

    Dichgans, Martin; Malik, Rainer; König, Inke R; Rosand, Jonathan; Clarke, Robert; Gretarsdottir, Solveig; Thorleifsson, Gudmar; Mitchell, Braxton D; Assimes, Themistocles L; Levi, Christopher; O'Donnell, Christopher J; Fornage, Myriam; Thorsteinsdottir, Unnur; Psaty, Bruce M; Hengstenberg, Christian; Seshadri, Sudha; Erdmann, Jeanette; Bis, Joshua C; Peters, Annette; Boncoraglio, Giorgio B; März, Winfried; Meschia, James F; Kathiresan, Sekar; Ikram, M Arfan; McPherson, Ruth; Stefansson, Kari; Sudlow, Cathie; Reilly, Muredach P; Thompson, John R; Sharma, Pankaj; Hopewell, Jemma C; Chambers, John C; Watkins, Hugh; Rothwell, Peter M; Roberts, Robert; Markus, Hugh S; Samani, Nilesh J; Farrall, Martin; Schunkert, Heribert

    2014-01-01

    Ischemic stroke (IS) and coronary artery disease (CAD) share several risk factors and each has a substantial heritability. We conducted a genome-wide analysis to evaluate the extent of shared genetic determination of the two diseases. Genome-wide association data were obtained from the METASTROKE, Coronary Artery Disease Genome-wide Replication and Meta-analysis (CARDIoGRAM), and Coronary Artery Disease (C4D) Genetics consortia. We first analyzed common variants reaching a nominal threshold of significance (Pstroke (LAS) subtype. Common variants associated with CAD at Pgenetic risk of IS and particularly the LAS subtype with CAD.

  11. Genetic variants in the choline acetyltransferase (ChAT) gene are modestly associated with normal cognitive function in the elderly

    DEFF Research Database (Denmark)

    Mengel-From, J; Christensen, K; Thinggaard, M;

    2011-01-01

    Genetic variants in the choline acetyltransferase (ChAT) gene have been suggested as risk factors for neurodegenerative Alzheimer's disease (AD). Here we tested the importance of genetic variants in the ChAT gene in normal cognitive function of elderly in a study sample of Danish twins...... and singletons (N = 2070). The ChAT rs3810950 A allele, which has been associated with increased risk for AD, was found to be associated with a decrease cognitive status evaluated by a five-component cognitive composite score [P = 0.03, regression coefficient -0.30, 95% confidence interval (CI) -0.57 to -0...

  12. Genetic variants associated with increased risk of malignant pleural mesothelioma: a genome-wide association study.

    Directory of Open Access Journals (Sweden)

    Giuseppe Matullo

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

  13. Genetic variants associated with increased risk of malignant pleural mesothelioma: a genome-wide association study.

    Science.gov (United States)

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

    2013-01-01

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

  14. Genetic variants and early cigarette smoking and nicotine dependence phenotypes in adolescents.

    Science.gov (United States)

    O'Loughlin, Jennifer; Sylvestre, Marie-Pierre; Labbe, Aurélie; Low, Nancy C; Roy-Gagnon, Marie-Hélène; Dugas, Erika N; Karp, Igor; Engert, James C

    2014-01-01

    While the heritability of cigarette smoking and nicotine dependence (ND) is well-documented, the contribution of specific genetic variants to specific phenotypes has not been closely examined. The objectives of this study were to test the associations between 321 tagging single-nucleotide polymorphisms (SNPs) that capture common genetic variation in 24 genes, and early smoking and ND phenotypes in novice adolescent smokers, and to assess if genetic predictors differ across these phenotypes. In a prospective study of 1294 adolescents aged 12-13 years recruited from ten Montreal-area secondary schools, 544 participants who had smoked at least once during the 7-8 year follow-up provided DNA. 321 single-nucleotide polymorphisms (SNPs) in 24 candidate genes were tested for an association with number of cigarettes smoked in the past 3 months, and with five ND phenotypes (a modified version of the Fagerstrom Tolerance Questionnaire, the ICD-10 and three clusters of ND symptoms representing withdrawal symptoms, use of nicotine for self-medication, and a general ND/craving symptom indicator). The pattern of SNP-gene associations differed across phenotypes. Sixteen SNPs in seven genes (ANKK1, CHRNA7, DDC, DRD2, COMT, OPRM1, SLC6A3 (also known as DAT1)) were associated with at least one phenotype with a p-value genetic predictors differ, specific cigarette smoking and ND phenotypes should be distinguished in genetic studies in adolescents. Fifteen of the 16 top-ranked SNPs identified in this study were from loci involved in dopaminergic pathways (ANKK1/DRD2, DDC, COMT, OPRM1, and SLC6A3). Dopaminergic pathways may be salient during early smoking and the development of ND.

  15. M-matrix-based stability conditions for genetic regulatory networks with time-varying delays and noise perturbations.

    Science.gov (United States)

    Tian, Li-Ping; Shi, Zhong-Ke; Liu, Li-Zhi; Wu, Fang-Xiang

    2013-10-01

    Stability is essential for designing and controlling any dynamic systems. Recently, the stability of genetic regulatory networks has been widely studied by employing linear matrix inequality (LMI) approach, which results in checking the existence of feasible solutions to high-dimensional LMIs. In the previous study, the authors present several stability conditions for genetic regulatory networks with time-varying delays, based on M-matrix theory and using the non-smooth Lyapunov function, which results in determining whether a low-dimensional matrix is a non-singular M-matrix. However, the previous approach cannot be applied to analyse the stability of genetic regulatory networks with noise perturbations. Here, the authors design a smooth Lyapunov function quadratic in state variables and employ M-matrix theory to derive new stability conditions for genetic regulatory networks with time-varying delays. Theoretically, these conditions are less conservative than existing ones in some genetic regulatory networks. Then the results are extended to genetic regulatory networks with time-varying delays and noise perturbations. For genetic regulatory networks with n genes and n proteins, the derived conditions are to check if an n × n matrix is a non-singular M-matrix. To further present the new theories proposed in this study, three example regulatory networks are analysed.

  16. Whole-exome sequencing to identify genetic risk variants underlying inhibitor development in severe hemophilia A patients.

    Science.gov (United States)

    Gorski, Marcin M; Blighe, Kevin; Lotta, Luca A; Pappalardo, Emanuela; Garagiola, Isabella; Mancini, Ilaria; Mancuso, Maria Elisa; Fasulo, Maria Rosaria; Santagostino, Elena; Peyvandi, Flora

    2016-06-09

    The development of neutralizing antibodies (inhibitors) against coagulation factor VIII (FVIII) is the most problematic and costly complication of FVIII replacement therapy that affects up to 30% of previously untreated patients with severe hemophilia A. The development of inhibitors is a multifactorial complication involving environmental and genetic factors. Among the latter, F8 gene mutations, ethnicity, family history of inhibitors, and polymorphisms affecting genes involved in the immune response have been previously investigated. To identify novel genetic elements underling the risk of inhibitor development in patients with severe hemophilia A, we applied whole-exome sequencing (WES) and data analysis in a selected group of 26 Italian patients with (n = 17) and without (n = 9) inhibitors. WES revealed several rare, damaging variants in immunoregulatory genes as novel candidate mutations. A case-control association analysis using Cochran-Armitage and Fisher's exact statistical tests identified 1364 statistically significant variants. Hierarchical clustering of these genetic variants showed 2 distinct patterns of homozygous variants with a protective or harmful role in inhibitor development. When looking solely at coding variants, a total of 28 nonsynonymous variants were identified and replicated in 53 inhibitor-positive and 174 inhibitor-negative Italian severe hemophilia A patients using a TaqMan genotyping assay. The genotyping results revealed 10 variants showing estimated odds ratios in the same direction as in the discovery phase and confirmed the association of the rs3754689 missense variant (OR 0.58; 95% CI 0.36-0.94; P = .028) in a highly conserved haplotype region surrounding the LCT locus on chromosome 2q21 with inhibitor development. © 2016 by The American Society of Hematology.

  17. Association between Common Genetic Variants and Polycystic Ovary Syndrome Risk in a Chinese Han Population

    Science.gov (United States)

    Sun, Ying; Yuan, Yi; Yang, Hua; Li, Jingjie; Feng, Tian; Ouyang, Yongri; Jin, Tianbo; Liu, Ming

    2016-01-01

    Objective: Polycystic ovary syndrome (PCOS) is one of the most common endocrinopathies affecting 5-7% of reproductive age women worldwide. The aim of our study was to explore the PCOS-related single nucleotide polymorphism (SNP) associations between common genetic variants and PCOS risk in a Han Chinese women population. Methods: In this case-control study, 285 Chinese Han women aged 28.50±6.858 years with PCOS and 299 controls of a mean age of 32.66±7.018 years were compared. We selected recently published genome-wide association studies (GWAS) which identified several genetic loci in PCOS. All the SNPs were genotyped by Sequenom Mass-ARRAY technology. Associations between the gene and the risk of PCOS were tested using various genetic models by Statistical Package for the Social Sciences and Plink. Results: We found that rs705702 in the RAB5B/SUOX was associated with PCOS (odds ratio=1.42; 95% confidence interval=1.08-1.87, p=0.011) and increased the PCOS risk. The genotypic model analysis also showed that rs705702 was associated with PCOS risk. Conclusion: Our results suggest that SNPs rs705702 in gene RAB5B/SUOX was associated with PCOS in Han Chinese women. PMID:27217259

  18. Onco-lncRNA HOTAIR and its functional genetic variants in papillary thyroid carcinoma

    Science.gov (United States)

    Zhu, Hui; Lv, Zheng; An, Changming; Shi, Meng; Pan, Wenting; Zhou, Liqing; Yang, Wenjun; Yang, Ming

    2016-01-01

    The role of long noncoding RNA (lncRNA) HOX transcript antisense RNA (HOTAIR) and its functional single nucleotide polymorphisms (SNPs) in papillary thyroid carcinoma (PTC) is still largely unclear. Therefore, we investigated the involvement of lncRNA HOTAIR and its three haplotype-tagging SNPs (htSNPs) in PTC. There was higher expression of HOTAIR in PTC tissues compared to normal tissues. A series of gain-loss assays demonstrated that HOTAIR acts as a PTC oncogene via promoting tumorigenic properties of PTC cells. Additionally, the functional HOTAIR rs920778 genetic variant was a PTC susceptibility SNP. Subjects with the HOTAIR rs920778 TT genotype had an odds ratio (OR) of 1.88, 1.25 and 1.61 (P = 6.0 × 10−6, P = 0.028 and P = 3.2 × 10−5) for developing PTC in Shandong, Jiangsu and Jilin case-control sets compared with subjects with the CC genotype. This statistically significant associations were only found between the rs920778 genetic polymorphism and PTC risk in females but not in males. The allele-specific regulation on HOTAIR expression by the rs920778 SNP was confirmed both in vitro and in vivo. Our results demonstrate that functional SNPs influencing lncRNA regulation may explain a part of PTC genetic basis. PMID:27549736

  19. Associations between an obesity related genetic variant (FTO rs9939609) and prostate cancer risk.

    Science.gov (United States)

    Lewis, Sarah J; Murad, Ali; Chen, Lina; Davey Smith, George; Donovan, Jenny; Palmer, Tom; Hamdy, Freddie; Neal, David; Lane, J Athene; Davis, Michael; Cox, Angela; Martin, Richard M

    2010-10-19

    Observational studies suggest that obese men have a lower risk of incident prostate cancer, but an increased risk of advanced and fatal cancers. These observations could be due to confounding, detection bias, or a biological effect of obesity. Genetic studies are less susceptible to confounding than observational epidemiology and can suggest how associations between phenotypes (such as obesity) and diseases arise. To determine whether the associations between obesity and prostate cancer are causal, we conducted a genetic association study of the relationship between a single nucleotide polymorphism known to be associated with obesity (FTO rs9939609) and prostate cancer. Data are from a population-based sample of 1550 screen-detected prostate cancers, 1815 age- and general practice matched controls with unrestricted prostate specific antigen (PSA) values and 1175 low-PSA controls (PSA prostate cancer risk, but positively associated with high-grade cancer among cases (OR high- versus low-grade cancer  = 1.16; 0.99-1.37 p = 0.07 per allele). Although evidence for these effects was weak, they are consistent with observational data based on BMI phenotypes and suggest that the observed association between obesity and prostate cancer is not due to confounding. Further research should confirm these findings, extend them to other BMI-related genetic variants and determine whether they are due to detection bias or obesity-related hormonal changes. Controlled-Trials.com ISRCTN20141297.

  20. Pain modality- and sex-specific effects of COMT genetic functional variants.

    Science.gov (United States)

    Belfer, Inna; Segall, Samantha K; Lariviere, William R; Smith, Shad B; Dai, Feng; Slade, Gary D; Rashid, Naim U; Mogil, Jeffrey S; Campbell, Claudia M; Edwards, Robert R; Liu, Qian; Bair, Eric; Maixner, William; Diatchenko, Luda

    2013-08-01

    The enzyme catechol-O-methyltransferase (COMT) metabolizes catecholamine neurotransmitters involved in a number of physiological functions, including pain perception. Both human and mouse COMT genes possess functional polymorphisms contributing to interindividual variability in pain phenotypes such as sensitivity to noxious stimuli, severity of clinical pain, and response to pain treatment. In this study, we found that the effects of Comt functional variation in mice are modality specific. Spontaneous inflammatory nociception and thermal nociception behaviors were correlated the most with the presence of the B2 SINE transposon insertion residing in the 3'UTR mRNA region. Similarly, in humans, COMT functional haplotypes were associated with thermal pain perception and with capsaicin-induced pain. Furthermore, COMT genetic variations contributed to pain behaviors in mice and pain ratings in humans in a sex-specific manner. The ancestral Comt variant, without a B2 SINE insertion, was more strongly associated with sensitivity to capsaicin in female vs male mice. In humans, the haplotype coding for low COMT activity increased capsaicin-induced pain perception in women, but not men. These findings reemphasize the fundamental contribution of COMT to pain processes, and provide a fine-grained resolution of this contribution at the genetic level that can be used to guide future studies in the area of pain genetics.

  1. Lactase persistence-related genetic variant: population substructure and health outcomes.

    Science.gov (United States)

    Smith, George Davey; Lawlor, Debbie A; Timpson, Nic J; Baban, Jamil; Kiessling, Matt; Day, Ian N M; Ebrahim, Shah

    2009-03-01

    Lactase persistence is an autosomal-dominant trait that is common in European-derived populations. A basic tendency for lactase persistence to increase from the southeast to the northwest across European populations has been noted, but such trends within countries have not been extensively studied. We genotyped the C/T(-13910) variant (rs4988235) that constitutes the putatively causal allele for lactase persistence (T allele representing persistence) in a general population sample of 3344 women aged 60-79 years from 23 towns across Britain. We found an overall frequency of 0.253 for the C (lactase non-persistence) allele, but with considerable gradients of decreasing frequency from the south to the north and from the east to the west of Britain for this allele. Daily sunlight was positively related to C (non-persistence) allele prevalence. However, sunlight exposure and latitude are strongly correlated, and it was not possible to identify which is the primary factor statistically underlying the distribution of lactase persistence. The C/T(-13910) variant (rs4988235) was not related to drinking milk or bone health (although drinking milk itself was protective of bone health), and was essentially unrelated to a wide range of other lifestyle, health and demographic characteristics. One exception was general health being rated as being poor or fair, for which there was an odds ratio of 1.38 (1.04, 1.84) for women homozygous for the C allele; on adjustment for latitude and longitude of place of birth, this attenuated to 1.19 (0.87, 1.64). The lactase persistence variant could contribute to the examination of data for the existence of, and then statistical control for, population substructure in genetic association studies.

  2. Genetic variants in chromatin-remodeling pathway associated with lung cancer risk in a Chinese population.

    Science.gov (United States)

    Geng, Liguo; Zhu, Meng; Wang, Yuzhuo; Cheng, Yang; Liu, Jia; Shen, Wei; Li, Zhihua; Zhang, Jiahui; Wang, Cheng; Jin, Guangfu; Ma, Hongxia; Shen, Hongbing; Hu, Zhibin; Dai, Juncheng

    2016-08-10

    Chromatin remodeling complexes utilize the energy of ATP hydrolysis to remodel nucleosomes and have essential roles in transcriptional modulation. Increasing evidences indicate that these complexes directly interact with numerous proteins and regulate the formation of cancer. However, few studies reported the association of polymorphisms in chromatin remodeling genes and lung cancer. We hypothesized that variants in critical genes of chromatin remodeling pathway might contribute to the susceptibility of lung cancer. To validate this hypothesis, we systematically screened 40 polymorphisms in six key chromatin remodeling genes (SMARCA5, SMARCC2, SMARCD2, ARID1A, NR3C1 and SATB1) and evaluated them with a case-control study including 1341 cases and 1982 controls. Logistic regression revealed that four variants in NR3C1 and SATB1 were significantly associated with lung cancer risk after false discovery rate (FDR) correction [For NR3C1, rs9324921: odds ratio (OR)=1.23, P for FDR=0.029; rs12521436: OR=0.85, P for FDR=0.040; rs4912913: OR=1.17, P for FDR=0.040; For SATB1, rs6808523: OR=1.33, P for FDR=0.040]. Combing analysis presented a significant allele-dosage tendency for the number of risk alleles and lung cancer risk (Ptrendlung tumor and adjacent normal tissues in the database of The Cancer Genome Atlas (TCGA) (P=0.009 for rs6808523). These findings suggested that genetic variants in key chromatin remodeling genes may contribute to lung cancer risk in Chinese population. Further large and well-designed studies are warranted to validate our results.

  3. Consequences of a human TRPA1 genetic variant on the perception of nociceptive and olfactory stimuli.

    Directory of Open Access Journals (Sweden)

    Michael Schütz

    Full Text Available BACKGROUND: TRPA1 ion channels are involved in nociception and are also excited by pungent odorous substances. Based on reported associations of TRPA1 genetics with increased sensitivity to thermal pain stimuli, we therefore hypothesized that this association also exists for increased olfactory sensitivity. METHODS: Olfactory function and nociception was compared between carriers (n = 38 and non-carriers (n = 43 of TRPA1 variant rs11988795 G>A, a variant known to enhance cold pain perception. Olfactory function was quantified by assessing the odor threshold, odor discrimination and odor identification, and by applying 200-ms pulses of H2S intranasal. Nociception was assessed by measuring pain thresholds to experimental nociceptive stimuli (blunt pressure, electrical stimuli, cold and heat stimuli, and 200-ms intranasal pulses of CO2. RESULTS: Among the 11 subjects with moderate hyposmia, carriers of the minor A allele (n = 2 were underrepresented (34 carriers among the 70 normosmic subjects; p = 0.049. Moreover, carriers of the A allele discriminated odors significantly better than non-carriers (13.1±1.5 versus 12.3±1.6 correct discriminations and indicated a higher intensity of the H2S stimuli (29.2±13.2 versus 21±12.8 mm VAS, p = 0.006, which, however, could not be excluded to have involved a trigeminal component during stimulation. Finally, the increased sensitivity to thermal pain could be reproduced. CONCLUSIONS: The findings are in line with a previous association of a human TRPA1 variant with nociceptive parameters and extend the association to the perception of odorants. However, this addresses mainly those stimulants that involve a trigeminal component whereas a pure olfactory effect may remain disputable. Nevertheless, findings suggest that future TRPA1 modulating drugs may modify the perception of odorants.

  4. Genetic variants of peroxisome proliferator-activated receptor δ are associated with gastric cancer.

    Science.gov (United States)

    Jeon, Christie; Chang, Shen-Chih; Mu, Lina; Zhao, Jinkou; Rao, Jian-Yu; Lu, Qing-Yi; Zhang, Zuo-Feng

    2013-10-01

    Peroxisome proliferator-activated receptors (PPAR) are implicated in pathogenesis of insulin resistance and cancers of the digestive system. We investigated the associations of single nucleotide polymorphisms (SNPs) of PPAR δ and γ with gastric cancer and explored interactions with risk factors of gastric cancer. We conducted our analysis in a case-control study of 196 gastric cancer patients and 397 controls residing in the Taixing region of Jiangsu, China. Six SNPs in the PPARδ (rs2076167, rs3734254) and PPARγ genes (rs10865710, rs1801282, rs3856806, rs13306747) were genotyped. We employed logistic regression to evaluate the association between each genotype and gastric cancer and tested for gene-environment interaction with Helicobacter pylori (H. pylori) infection, smoking status, and meat and salt intake. We found that the G/G variant rs2076167, in tight linkage disequilibrium with rs3734254 (R (2) = 0.97), was associated with increased risk of gastric cancer in a recessive model (OR 2.20, 95 % CI 1.12, 4.32). The association between G/G variant of rs2016167 and gastric cancer was particularly strong among those with higher salt intake (OR 5.11, 95 % CI 1.11, 23.5), but did not vary by H. pylori infection or smoking status. We found that genetic variants of PPARδ were associated with gastric cancer. If the association is confirmed in larger studies, it may implicate a role for PPARδ activators, such as insulin-sensitizing agents, in prevention of gastric cancer.

  5. Innovative farmers and regulatory gatekeepers: Genetically modified crops regulation and adoption in developing countries.

    Science.gov (United States)

    Sinebo, Woldeyesus; Maredia, Karim

    2016-01-02

    The regulation of genetically modified (GM) crops is a topical issue in agriculture and environment over the past 2 decades. The objective of this paper is to recount regulatory and adoption practices in some developing countries that have successfully adopted GM crops so that aspiring countries may draw useful lessons and best practices for their biosafatey regulatory regimes. The first 11 mega-GM crops growing countries each with an area of more than one million hectares in 2014 were examined. Only five out of the 11 countries had smooth and orderly adoption of these crops as per the regulatory requirement of each country. In the remaining 6 countries (all developing countries), GM crops were either introduced across borders without official authorization, released prior to regulatory approval or unapproved seeds were sold along with the approved ones in violation to the existing regulations. Rapid expansion of transgenic crops over the past 2 decades in the developing world was a result of an intense desire by farmers to adopt these crops irrespective of regulatory roadblocks. Lack of workable biosafety regulatory system and political will to support GM crops encouraged unauthorized access to GM crop varieties. In certain cases, unregulated access in turn appeared to result in the adoption of substandard or spurious technology which undermined performance and productivity. An optimal interaction among the national agricultural innovation systems, biosafety regulatory bodies, biotech companies and high level policy makers is vital in making a workable regulated progress in the adoption of GM crops. Factoring forgone opportunities to farmers to benefit from GM crops arising from overregulation into biosafety risk analysis and decision making is suggested. Building functional biosafety regulatory systems that balances the needs of farmers to access and utilize the GM technology with the regulatory imperatives to ensure adequate safety to the environment and human

  6. Association between the APC gene D1822V variant and the genetic susceptibility of colorectal cancer.

    Science.gov (United States)

    Feng, Maohui; Fang, Xiping; Yang, Qian; Ouyang, Gang; Chen, Daping; Ma, Xiang; Li, Huachi; Xie, Wei

    2014-07-01

    Adenomatous polyposis coli (APC) gene polymorphisms are believed to contribute to tumor susceptibility. However, the association between genetic variants (A/T) in the APC gene D1822V polymorphism and colorectal cancer (CRC) susceptibility remains unknown. To determine this association, a case-control study was performed. The genotype of the APC gene D1822V variants was analyzed by DNA sequencing in blood samples collected from 196 patients with CRC and 279 healthy subjects. There were no significant associations between the case and control groups in the distribution of AT [odds ratio (OR), 0.604; 95% confidence interval (CI), 0.355-1.029) and TT genotypes (OR, 0.438; 95% CI, 0.045-4.247) relative to the AA genotype. The ratio of the T allele was significantly lower (P=0.047) in the case group compared with the control group (OR, 0.611; 95% CI, 0.374-0.997), indicating that the T allele conferred a protective effect in CRC. The frequency of the AT genotype among the subjects diagnosed at >45 years of age was lower than those diagnosed at a younger age (P<0.05). The present study demonstrates that the T allele of the D1822V polymorphism may exert a protective effect against CRC, however, these findings require further validation in a larger sample size.

  7. Rare genetic variants previously associated with congenital forms of long QT syndrome have little or no effect on the QT interval

    DEFF Research Database (Denmark)

    Ghouse, Jonas; Have, Christian Theil; Weeke, Peter

    2015-01-01

    ) and genotype array data (n = 6161) for putative cLQTS genetic variants. In total, 33 of 1358 variants previously reported to associate with cLQTS were identified. Of these, 10 variants were found in 8 or more individuals. Electrocardiogram results showed normal mean QTc intervals in carriers compared with non...

  8. A comparison of genetic variants between proficient low- and high-risk sport participants.

    Science.gov (United States)

    Thomson, Cynthia J; Power, Rebecca J; Carlson, Scott R; Rupert, Jim L; Michel, Grégory

    2015-01-01

    Athletes participating in high-risk sports consistently report higher scores on sensation-seeking measures than do low-risk athletes or non-athletic controls. To determine whether genetic variants commonly associated with sensation seeking were over-represented in such athletes, proficient practitioners of high-risk (n = 141) and low-risk sports (n = 132) were compared for scores on sensation seeking and then genotyped at 33 polymorphic loci in 14 candidate genes. As expected, athletes participating in high-risk sports score higher on sensation seeking than did low-risk sport athletes (P sport participation for two genes (stathmin, (P = .004) and brain-derived neurotrophic factor (P = .03)) as well as when demographically matched subsets of the sport cohorts were compared (P < .05); however, in all cases, associations did not survive correction for multiple testing.

  9. Copy number variants and genetic traits: closer to the resolution of phenotypic to genotypic variability.

    Science.gov (United States)

    Beckmann, Jacques S; Estivill, Xavier; Antonarakis, Stylianos E

    2007-08-01

    A considerable and unanticipated plasticity of the human genome, manifested as inter-individual copy number variation, has been discovered. These structural changes constitute a major source of inter-individual genetic variation that could explain variable penetrance of inherited (Mendelian and polygenic) diseases and variation in the phenotypic expression of aneuploidies and sporadic traits, and might represent a major factor in the aetiology of complex, multifactorial traits. For these reasons, an effort should be made to discover all common and rare copy number variants (CNVs) in the human population. This will also enable systematic exploration of both SNPs and CNVs in association studies to identify the genomic contributors to the common disorders and complex traits.

  10. Genetic variants in ABCG1 are associated with survival of nonsmall-cell lung cancer patients.

    Science.gov (United States)

    Wang, Yanru; Liu, Hongliang; Ready, Neal E; Su, Li; Wei, Yongyue; Christiani, David C; Wei, Qingyi

    2016-06-01

    Cell membrane transporters and metabolic enzymes play a crucial role in the transportation of a wide variety of substrates that maintain homeostasis in biological processes. We explored associations between genetic variants in these genes and survival of nonsmall-cell lung cancer (NSCLC) patients by reanalyzing two datasets from published genome-wide association studies (GWASs). In the discovery by using the GWAS dataset of the Prostate, Lung, Colorectal and Ovarian (PLCO) Cancer Screening Trial, we evaluated associations of 1,245 single-nucleotide polymorphisms (SNPs) in genes of four transporter families and two metabolic enzyme families with survival of 1,185 NSCLC patients. We then performed a replication analysis in the Harvard University Lung Cancer study (LCS) with 984 NSCLC patients. Multivariate Cox proportional hazards regression and false discovery rate (FDR) corrections were performed to evaluate the associations. We identified that 21 genotyped SNPs in eight gene regions were significantly associated with survival with FDR ≤ 0.1 in the discovery dataset. Subsequently, we confirmed six SNPs, which were putative functional, in ABCG1 of the ATP-binding cassette transporter family in the replication dataset. In the pooled analysis, two tagging (at r(2)  > 0.8 for linkage disequilibrium with other replicated SNPs)/functional SNPs were independently associated with survival: rs225388 G > A [adjusted hazards ratio (HR) = 1.12, 95% confidence interval (CI) = 1.03-1.20, Ptrend  = 4.6 × 10(-3)] and rs225390 A > G (adjusted HR = 1.16, 95% CI = 1.07-1.25, Ptrend  = 3.8 × 10(-4) ). Our results indicated that genetic variants of ABCG1 may be predictors of survival of NSCLC patients.

  11. Capillary electrophoresis analysis of conventional splicing assays: IARC analytical and clinical classification of 31 BRCA2 genetic variants.

    Science.gov (United States)

    de Garibay, Gorka Ruiz; Acedo, Alberto; García-Casado, Zaida; Gutiérrez-Enríquez, Sara; Tosar, Alicia; Romero, Atocha; Garre, Pilar; Llort, Gemma; Thomassen, Mads; Díez, Orland; Pérez-Segura, Pedro; Díaz-Rubio, Eduardo; Velasco, Eladio A; Caldés, Trinidad; de la Hoya, Miguel

    2014-01-01

    Rare sequence variants in "high-risk" disease genes, often referred as unclassified variants (UVs), pose a serious challenge to genetic testing. However, UVs resulting in splicing alterations can be readily assessed by in vitro assays. Unfortunately, analytical and clinical interpretation of these assays is often challenging. Here, we explore this issue by conducting splicing assays in 31 BRCA2 genetic variants. All variants were assessed by RT-PCR followed by capillary electrophoresis and direct sequencing. If assays did not produce clear-cut outputs (Class-2 or Class-5 according to analytical International Agency for Research on Cancer guidelines), we performed qPCR and/or minigene assays. The latter were performed with a new splicing vector (pSAD) developed by authors of the present manuscript (patent #P201231427 CSIC). We have identified three clinically relevant Class-5 variants (c.682-2A>G, c.7617+1G>A, and c.8954-5A>G), and 27 analytical Class-2 variants (not inducing splicing alterations). In addition, we demonstrate that rs9534262 (c.7806-14T>C) is a BRCA2 splicing quantitative trait locus.

  12. Genetic variants in promoters and coding regions of the muscle glycogen synthase and the insulin-responsive GLUT4 genes in NIDDM

    DEFF Research Database (Denmark)

    Bjørbaek, C; Echwald, Søren Morgenthaler; Hubricht, P

    1994-01-01

    regions and regions of importance for translation, as well as coding sequences of the two genes, were studied using single-strand conformation polymorphism (SSCP) analysis and DNA sequencing. The genetic analyses were performed in subgroups of 52 Caucasian NIDDM patients and 25 age-matched healthy......'-untranslated region, and the coding region of the GLUT4 gene showed four polymorphisms, all single nucleotide substitutions, positioned at -581, 1, 30, and 582. None of the three changes in the regulatory region of the gene had any major influence on expression of the GLUT4 gene in muscle. The variant at 582...... volunteers. By applying inverse polymerase chain reaction and direct DNA sequencing, 532 base pairs (bp) of the GS promoter were identified and the transcriptional start site determined by primer extension. SSCP scanning of the promoter region detected five single nucleotide substitutions, positioned at 42...

  13. Molecular Imprint of Exposure to Naturally Occurring Genetic Variants of Human Cytomegalovirus on the T cell Repertoire

    Science.gov (United States)

    Smith, Corey; Gras, Stephanie; Brennan, Rebekah M.; Bird, Nicola L.; Valkenburg, Sophie A.; Twist, Kelly-Anne; Burrows, Jacqueline M.; Miles, John J.; Chambers, Daniel; Bell, Scott; Campbell, Scott; Kedzierska, Katherine; Burrows, Scott R.; Rossjohn, Jamie; Khanna, Rajiv

    2014-02-01

    Exposure to naturally occurring variants of herpesviruses in clinical settings can have a dramatic impact on anti-viral immunity. Here we have evaluated the molecular imprint of variant peptide-MHC complexes on the T-cell repertoire during human cytomegalovirus (CMV) infection and demonstrate that primary co-infection with genetic variants of CMV was coincident with development of strain-specific T-cell immunity followed by emergence of cross-reactive virus-specific T-cells. Cross-reactive CMV-specific T cells exhibited a highly conserved public T cell repertoire, while T cells directed towards specific genetic variants displayed oligoclonal repertoires, unique to each individual. T cell recognition foot-print and pMHC-I structural analyses revealed that the cross-reactive T cells accommodate alterations in the pMHC complex with a broader foot-print focussing on the core of the peptide epitope. These findings provide novel molecular insight into how infection with naturally occurring genetic variants of persistent human herpesviruses imprints on the evolution of the anti-viral T-cell repertoire.

  14. The Value of Online Algorithms to Predict T-Cell Ligands Created by Genetic Variants.

    Science.gov (United States)

    van der Lee, Dyantha I; Pont, Margot J; Falkenburg, J H Frederik; Griffioen, Marieke

    2016-01-01

    -cell ligands that are created by genetic variants.

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

    Science.gov (United States)

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

    2015-01-01

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

  16. Genetic variants associated with breast size also influence breast cancer risk

    Directory of Open Access Journals (Sweden)

    Eriksson Nicholas

    2012-06-01

    Full Text Available Abstract Background While some factors of breast morphology, such as density, are directly implicated in breast cancer, the relationship between breast size and cancer is less clear. Breast size is moderately heritable, yet the genetic variants leading to differences in breast size have not been identified. Methods To investigate the genetic factors underlying breast size, we conducted a genome-wide association study (GWAS of self-reported bra cup size, controlling for age, genetic ancestry, breast surgeries, pregnancy history and bra band size, in a cohort of 16,175 women of European ancestry. Results We identified seven single-nucleotide polymorphisms (SNPs significantly associated with breast size (p−8: rs7816345 near ZNF703, rs4849887 and (independently rs17625845 flanking INHBB, rs12173570 near ESR1, rs7089814 in ZNF365, rs12371778 near PTHLH, and rs62314947 near AREG. Two of these seven SNPs are in linkage disequilibrium (LD with SNPs associated with breast cancer (those near ESR1 and PTHLH, and a third (ZNF365 is near, but not in LD with, a breast cancer SNP. The other three loci (ZNF703, INHBB, and AREG have strong links to breast cancer, estrogen regulation, and breast development. Conclusions These results provide insight into the genetic factors underlying normal breast development and show that some of these factors are shared with breast cancer. While these results do not directly support any possible epidemiological relationships between breast size and cancer, this study may contribute to a better understanding of the subtle interactions between breast morphology and breast cancer risk.

  17. Genetic variants of TSLP and asthma in an admixed urban population.

    Directory of Open Access Journals (Sweden)

    Mengling Liu

    Full Text Available BACKGROUND: Thymic stromal lymphopoietin (TSLP, an IL7-like cytokine produced by bronchial epithelial cells is upregulated in asthma and induces dendritic cell maturation supporting a Th2 response. Environmental pollutants, including tobacco smoke and diesel exhaust particles upregulate TSLP suggesting that TSLP may be an interface between environmental pollution and immune responses in asthma. Since asthma is prevalent in urban communities, variants in the TSLP gene may be important in asthma susceptibility in these populations. OBJECTIVES: To determine whether genetic variants in TSLP are associated with asthma in an urban admixed population. METHODOLOGY AND MAIN RESULTS: Ten tag-SNPs in the TSLP gene were analyzed for association with asthma using 387 clinically diagnosed asthmatic cases and 212 healthy controls from an urban admixed population. One SNP (rs1898671 showed nominally significant association with asthma (odds ratio (OR = 1.50; 95% confidence interval (95% CI: 1.09-2.05, p = 0.01 after adjusting for age, BMI, income, education and population stratification. Association results were consistent using two different approaches to adjust for population stratification. When stratified by smoking status, the same SNP showed a significantly increased risk associated with asthma in ex-smokers (OR = 2.00, 95% CI: 1.04-3.83, p = 0.04 but not significant in never-smokers (OR = 1.34; 95% CI: 0.93-1.94, p = 0.11. Haplotype-specific score test indicated that an elevated risk for asthma was associated with a specific haplotype of TSLP involving SNP rs1898671 (OR = 1.58, 95% CI: 1.10-2.27, p = 0.01. Association of this SNP with asthma was confirmed in an independent large population-based cohort consortium study (OR = 1.15, 95% CI: 1.07-1.23, p = 0.0003 and the results stratified by smoking status were also validated (ex-smokers: OR = 1.21, 95% CI: 1.08-1.34, p = 0.003; never-smokers: OR = 1

  18. A genome-wide approach accounting for body mass index identifies genetic variants influencing fasting glycemic traits and insulin resistance

    OpenAIRE

    Manning, Alisa K; Hivert, Marie-France; Scott, Robert A.; Grimsby, Jonna L; Bouatia-Naji, Nabila; Chen, Han; Rybin, Denis; Liu, Ching-Ti; Bielak, Lawrence F; Prokopenko, Inga; Amin, Najaf; Barnes, Daniel; Cadby, Gemma; Hottenga, Jouke-Jan; Ingelsson, Erik

    2012-01-01

    Recent genome-wide association studies have described many loci implicated in type 2 diabetes (T2D) pathophysiology and beta-cell dysfunction but have contributed little to the understanding of the genetic basis of insulin resistance. We hypothesized that genes implicated in insulin resistance pathways might be uncovered by accounting for differences in body mass index (BMI) and potential interactions between BMI and genetic variants. We applied a joint meta-analysis approach to test associat...

  19. Evidence for differences in the binding of drugs to the two main genetic variants of human alpha 1-acid glycoprotein.

    Science.gov (United States)

    Herve, F; Gomas, E; Duche, J C; Tillement, J P

    1993-09-01

    1. Human alpha 1-acid glycoprotein (AAG), a plasma transport protein, has three main genetic variants. F1. S and A. Native commercial AAG (a mixture of almost equal proportions of these three variants) has been separated by chromatography into variants which correspond to the proteins of the two genes which code for AAG in humans: the A variant and a mixture of the F1 and S variants (60% F1 and 40% S). Their binding properties towards imipramine, warfarin and mifepristone were studied by equilibrium dialysis. 2. The F1S variant mixture strongly bound warfarin and mifepristone with an affinity of 1.89 and 2.06 x 10(6) l mol-1, respectively, but had a low affinity for imipramine. Conversely, the A variant strongly bound imipramine with an affinity of 0.98 x 10(6) l mol-1. The low degree of binding of warfarin and mifepristone to the A variant sample was explained by the presence of protein contaminants in this sample. These results indicate specific drug transport roles for each variant, with respect to its separate genetic origin. 3. Control binding experiments performed with (unfractionated) commercial AAG and with AAG isolated from individuals with either the F1/A or S/A phenotypes, agreed with these findings. The results for the binding of warfarin and mifepristone by the AAG samples were similar to those obtained with the F1S mixture: the mean high-affinity association constant of the AAG samples for each drug was of the same order as that of the F1S mixture: the decrease in the number of binding sites of the AAG samples, as compared with the F1S mixture, was explained by the smaller proportion of variants F1 and/or S in these samples. Conversely, results of the imipramine binding study with the AAG samples concurred with those for the binding of this basic drug by the A variant, with respect to the proportion of the A variant in these samples.

  20. The Intolerance of Regulatory Sequence to Genetic Variation Predicts Gene Dosage Sensitivity.

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    Slavé Petrovski

    2015-09-01

    Full Text Available Noncoding sequence contains pathogenic mutations. Yet, compared with mutations in protein-coding sequence, pathogenic regulatory mutations are notoriously difficult to recognize. Most fundamentally, we are not yet adept at recognizing the sequence stretches in the human genome that are most important in regulating the expression of genes. For this reason, it is difficult to apply to the regulatory regions the same kinds of analytical paradigms that are being successfully applied to identify mutations among protein-coding regions that influence risk. To determine whether dosage sensitive genes have distinct patterns among their noncoding sequence, we present two primary approaches that focus solely on a gene's proximal noncoding regulatory sequence. The first approach is a regulatory sequence analogue of the recently introduced residual variation intolerance score (RVIS, termed noncoding RVIS, or ncRVIS. The ncRVIS compares observed and predicted levels of standing variation in the regulatory sequence of human genes. The second approach, termed ncGERP, reflects the phylogenetic conservation of a gene's regulatory sequence using GERP++. We assess how well these two approaches correlate with four gene lists that use different ways to identify genes known or likely to cause disease through changes in expression: 1 genes that are known to cause disease through haploinsufficiency, 2 genes curated as dosage sensitive in ClinGen's Genome Dosage Map, 3 genes judged likely to be under purifying selection for mutations that change expression levels because they are statistically depleted of loss-of-function variants in the general population, and 4 genes judged unlikely to cause disease based on the presence of copy number variants in the general population. We find that both noncoding scores are highly predictive of dosage sensitivity using any of these criteria. In a similar way to ncGERP, we assess two ensemble-based predictors of regional noncoding

  1. The Intolerance of Regulatory Sequence to Genetic Variation Predicts Gene Dosage Sensitivity.

    Science.gov (United States)

    Petrovski, Slavé; Gussow, Ayal B; Wang, Quanli; Halvorsen, Matt; Han, Yujun; Weir, William H; Allen, Andrew S; Goldstein, David B

    2015-09-01

    Noncoding sequence contains pathogenic mutations. Yet, compared with mutations in protein-coding sequence, pathogenic regulatory mutations are notoriously difficult to recognize. Most fundamentally, we are not yet adept at recognizing the sequence stretches in the human genome that are most important in regulating the expression of genes. For this reason, it is difficult to apply to the regulatory regions the same kinds of analytical paradigms that are being successfully applied to identify mutations among protein-coding regions that influence risk. To determine whether dosage sensitive genes have distinct patterns among their noncoding sequence, we present two primary approaches that focus solely on a gene's proximal noncoding regulatory sequence. The first approach is a regulatory sequence analogue of the recently introduced residual variation intolerance score (RVIS), termed noncoding RVIS, or ncRVIS. The ncRVIS compares observed and predicted levels of standing variation in the regulatory sequence of human genes. The second approach, termed ncGERP, reflects the phylogenetic conservation of a gene's regulatory sequence using GERP++. We assess how well these two approaches correlate with four gene lists that use different ways to identify genes known or likely to cause disease through changes in expression: 1) genes that are known to cause disease through haploinsufficiency, 2) genes curated as dosage sensitive in ClinGen's Genome Dosage Map, 3) genes judged likely to be under purifying selection for mutations that change expression levels because they are statistically depleted of loss-of-function variants in the general population, and 4) genes judged unlikely to cause disease based on the presence of copy number variants in the general population. We find that both noncoding scores are highly predictive of dosage sensitivity using any of these criteria. In a similar way to ncGERP, we assess two ensemble-based predictors of regional noncoding importance, nc

  2. Habitual sleep duration is associated with BMI and macronutrient intake and may be modified by CLOCK genetic variants

    Science.gov (United States)

    Short sleep duration has been associated with greater risks of obesity, hypertension, diabetes, and cardiovascular disease. Also, common genetic variants in the human Circadian Locomotor Output Cycles Kaput (CLOCK) show associations with ghrelin and total energy intake. We examined associations betw...

  3. Genetic variants in FGFR2 and FGFR4 genes and skin cancer risk in the Nurses' Health Study

    Directory of Open Access Journals (Sweden)

    Qureshi Abrar A

    2009-06-01

    Full Text Available Abstract Background The human fibroblast growth factor (FGF and its receptor (FGFR play an important role in tumorigenesis. Deregulation of the FGFR2 gene has been identified in a number of cancer sites. Overexpression of the FGFR4 protein has been linked to cutaneous melanoma progression. Previous studies reported associations between genetic variants in the FGFR2 and FGFR4 genes and development of various cancers. Methods We evaluated the associations of four genetic variants in the FGFR2 gene highly related to breast cancer risk and the three common tag-SNPs in the FGFR4 gene with skin cancer risk in a nested case-control study of Caucasians within the Nurses' Health Study (NHS among 218 melanoma cases, 285 squamous cell carcinoma (SCC cases, 300 basal cell carcinoma (BCC cases, and 870 controls. Results We found no evidence for associations between these seven genetic variants and the risks of melanoma and nonmelanocytic skin cancer. Conclusion Given the power of this study, we did not detect any contribution of genetic variants in the FGFR2 or FGFR4 genes to inherited predisposition to skin cancer among Caucasian women.

  4. Discovery of coding genetic variants influencing diabetes-related serum biomarkers and their impact on risk of type 2 diabetes

    DEFF Research Database (Denmark)

    Ahluwalia, Tarun Veer Singh; Allin, Kristine Højgaard; Sandholt, Camilla Helene;

    2015-01-01

    CONTEXT: Type 2 diabetes (T2D) prevalence is spiraling globally, and knowledge of its pathophysiological signatures is crucial for a better understanding and treatment of the disease. OBJECTIVE: We aimed to discover underlying coding genetic variants influencing fasting serum levels of nine...

  5. The Influence of Vitamin D Receptor Genetic Variants on Bone Mineral Density and Osteoporosis in Chinese Postmenopausal Women

    Directory of Open Access Journals (Sweden)

    Wei He

    2015-01-01

    Full Text Available Growing evidence indicates that the vitamin D receptor (VDR gene is an important candidate gene for influencing the development of osteoporosis. The aim of the study was to evaluate the potential association between genetic variants of VDR gene and bone mineral density (BMD and osteoporosis in Chinese postmenopausal women. The study included 970 Chinese postmenopausal women at the postmenopausal osteoporosis (482 and healthy controls (488. The BMD of lumbar spine (L2–4 anterior-posterior view, femoral neck hip, and total hip was evaluated using the Norland XR-46 dual energy X-ray absorptiometry (DEXA. The genotypes of VDR genetic variants were determined by the created restriction site-PCR (CRS-PCR and confirmed by DNA sequencing methods. Our data indicated that the VDR p.Glicine (Gly14 alanine (Ala and p.histidine (His 305 glutanine (Gln genetic variants were statistically associated with adjusted femoral neck hip BMD, adjusted lumbar spine BMD, and adjusted total hip BMD (P values < 0.05. Results from this study suggest that the VDR p.Gly14Ala and p.His305Gln genetic variants are significantly associated with BMD decrease in Chinese postmenopausal women and might be used as molecular markers for assessing the risk of BMD and osteoporosis.

  6. Association of breast cancer risk with genetic variants showing differential allelic expression: Identification of a novel breast cancer susceptibility locus at 4q21.

    Science.gov (United States)

    Hamdi, Yosr; Soucy, Penny; Adoue, Véronique; Michailidou, Kyriaki; Canisius, Sander; Lemaçon, Audrey; Droit, Arnaud; Andrulis, Irene L; Anton-Culver, Hoda; Arndt, Volker; Baynes, Caroline; Blomqvist, Carl; Bogdanova, Natalia V; Bojesen, Stig E; Bolla, Manjeet K; Bonanni, Bernardo; Borresen-Dale, Anne-Lise; Brand, Judith S; Brauch, Hiltrud; Brenner, Hermann; Broeks, Annegien; Burwinkel, Barbara; Chang-Claude, Jenny; Couch, Fergus J; Cox, Angela; Cross, Simon S; Czene, Kamila; Darabi, Hatef; Dennis, Joe; Devilee, Peter; Dörk, Thilo; Dos-Santos-Silva, Isabel; Eriksson, Mikael; Fasching, Peter A; Figueroa, Jonine; Flyger, Henrik; García-Closas, Montserrat; Giles, Graham G; Goldberg, Mark S; González-Neira, Anna; Grenaker-Alnæs, Grethe; Guénel, Pascal; Haeberle, Lothar; Haiman, Christopher A; Hamann, Ute; Hallberg, Emily; Hooning, Maartje J; Hopper, John L; Jakubowska, Anna; Jones, Michael; Kabisch, Maria; Kataja, Vesa; Lambrechts, Diether; Le Marchand, Loic; Lindblom, Annika; Lubinski, Jan; Mannermaa, Arto; Maranian, Mel; Margolin, Sara; Marme, Frederik; Milne, Roger L; Neuhausen, Susan L; Nevanlinna, Heli; Neven, Patrick; Olswold, Curtis; Peto, Julian; Plaseska-Karanfilska, Dijana; Pylkäs, Katri; Radice, Paolo; Rudolph, Anja; Sawyer, Elinor J; Schmidt, Marjanka K; Shu, Xiao-Ou; Southey, Melissa C; Swerdlow, Anthony; Tollenaar, Rob A E M; Tomlinson, Ian; Torres, Diana; Truong, Thérèse; Vachon, Celine; Van Den Ouweland, Ans M W; Wang, Qin; Winqvist, Robert; Zheng, Wei; Benitez, Javier; Chenevix-Trench, Georgia; Dunning, Alison M; Pharoah, Paul D P; Kristensen, Vessela; Hall, Per; Easton, Douglas F; Pastinen, Tomi; Nord, Silje; Simard, Jacques

    2016-12-06

    There are significant inter-individual differences in the levels of gene expression. Through modulation of gene expression, cis-acting variants represent an important source of phenotypic variation. Consequently, cis-regulatory SNPs associated with differential allelic expression are functional candidates for further investigation as disease-causing variants. To investigate whether common variants associated with differential allelic expression were involved in breast cancer susceptibility, a list of genes was established on the basis of their involvement in cancer related pathways and/or mechanisms. Thereafter, using data from a genome-wide map of allelic expression associated SNPs, 313 genetic variants were selected and their association with breast cancer risk was then evaluated in 46,451 breast cancer cases and 42,599 controls of European ancestry ascertained from 41 studies participating in the Breast Cancer Association Consortium. The associations were evaluated with overall breast cancer risk and with estrogen receptor negative and positive disease. One novel breast cancer susceptibility locus on 4q21 (rs11099601) was identified (OR = 1.05, P = 5.6x10-6). rs11099601 lies in a 135 kb linkage disequilibrium block containing several genes, including, HELQ, encoding the protein HEL308 a DNA dependant ATPase and DNA Helicase involved in DNA repair, MRPS18C encoding the Mitochondrial Ribosomal Protein S18C and FAM175A (ABRAXAS), encoding a BRCA1 BRCT domain-interacting protein involved in DNA damage response and double-strand break (DSB) repair. Expression QTL analysis in breast cancer tissue showed rs11099601 to be associated with HELQ (P = 8.28x10-14), MRPS18C (P = 1.94x10-27) and FAM175A (P = 3.83x10-3), explaining about 20%, 14% and 1%, respectively of the variance inexpression of these genes in breast carcinomas.

  7. Association of breast cancer risk with genetic variants showing differential allelic expression: Identification of a novel breast cancer susceptibility locus at 4q21

    Science.gov (United States)

    Adoue, Véronique; Michailidou, Kyriaki; Canisius, Sander; Lemaçon, Audrey; Droit, Arnaud; Andrulis, Irene L; Anton-Culver, Hoda; Arndt, Volker; Baynes, Caroline; Blomqvist, Carl; Bogdanova, Natalia V.; Bojesen, Stig E.; Bolla, Manjeet K.; Bonanni, Bernardo; Borresen-Dale, Anne-Lise; Brand, Judith S.; Brauch, Hiltrud; Brenner, Hermann; Broeks, Annegien; Burwinkel, Barbara; Chang-Claude, Jenny; Couch, Fergus J.; Cox, Angela; Cross, Simon S.; Czene, Kamila; Darabi, Hatef; Dennis, Joe; Devilee, Peter; Dörk, Thilo; Dos-Santos-Silva, Isabel; Eriksson, Mikael; Fasching, Peter A.; Figueroa, Jonine; Flyger, Henrik; García-Closas, Montserrat; Giles, Graham G.; Goldberg, Mark S.; González-Neira, Anna; Grenaker-Alnæs, Grethe; Guénel, Pascal; Haeberle, Lothar; Haiman, Christopher A.; Hamann, Ute; Hallberg, Emily; Hooning, Maartje J.; Hopper, John L.; Jakubowska, Anna; Jones, Michael; Kabisch, Maria; Kataja, Vesa; Lambrechts, Diether; Marchand, Loic Le; Lindblom, Annika; Lubinski, Jan; Mannermaa, Arto; Maranian, Mel; Margolin, Sara; Marme, Frederik; Milne, Roger L.; Neuhausen, Susan L.; Nevanlinna, Heli; Neven, Patrick; Olswold, Curtis; Peto, Julian; Plaseska-Karanfilska, Dijana; Pylkäs, Katri; Radice, Paolo; Rudolph, Anja; Sawyer, Elinor J.; Schmidt, Marjanka K.; Shu, Xiao-Ou; Southey, Melissa C.; Swerdlow, Anthony; Tollenaar, Rob A.E.M.; Tomlinson, Ian; Torres, Diana; Truong, Thérèse; Vachon, Celine; Van Den Ouweland, Ans M. W.; Wang, Qin; Winqvist, Robert; Investigators, kConFab/AOCS; Zheng, Wei; Benitez, Javier; Chenevix-Trench, Georgia; Dunning, Alison M.; Pharoah, Paul D. P.; Kristensen, Vessela; Hall, Per; Easton, Douglas F.; Pastinen, Tomi; Nord, Silje; Simard, Jacques

    2016-01-01

    There are significant inter-individual differences in the levels of gene expression. Through modulation of gene expression, cis-acting variants represent an important source of phenotypic variation. Consequently, cis-regulatory SNPs associated with differential allelic expression are functional candidates for further investigation as disease-causing variants. To investigate whether common variants associated with differential allelic expression were involved in breast cancer susceptibility, a list of genes was established on the basis of their involvement in cancer related pathways and/or mechanisms. Thereafter, using data from a genome-wide map of allelic expression associated SNPs, 313 genetic variants were selected and their association with breast cancer risk was then evaluated in 46,451 breast cancer cases and 42,599 controls of European ancestry ascertained from 41 studies participating in the Breast Cancer Association Consortium. The associations were evaluated with overall breast cancer risk and with estrogen receptor negative and positive disease. One novel breast cancer susceptibility locus on 4q21 (rs11099601) was identified (OR = 1.05, P = 5.6x10-6). rs11099601 lies in a 135 kb linkage disequilibrium block containing several genes, including, HELQ, encoding the protein HEL308 a DNA dependant ATPase and DNA Helicase involved in DNA repair, MRPS18C encoding the Mitochondrial Ribosomal Protein S18C and FAM175A (ABRAXAS), encoding a BRCA1 BRCT domain-interacting protein involved in DNA damage response and double-strand break (DSB) repair. Expression QTL analysis in breast cancer tissue showed rs11099601 to be associated with HELQ (P = 8.28x10-14), MRPS18C (P = 1.94x10-27) and FAM175A (P = 3.83x10-3), explaining about 20%, 14% and 1%, respectively of the variance inexpression of these genes in breast carcinomas. PMID:27792995

  8. Genome-Wide Interaction Analyses between Genetic Variants and Alcohol Consumption and Smoking for Risk of Colorectal Cancer.

    Science.gov (United States)

    Gong, Jian; Hutter, Carolyn M; Newcomb, Polly A; Ulrich, Cornelia M; Bien, Stephanie A; Campbell, Peter T; Baron, John A; Berndt, Sonja I; Bezieau, Stephane; Brenner, Hermann; Casey, Graham; Chan, Andrew T; Chang-Claude, Jenny; Du, Mengmeng; Duggan, David; Figueiredo, Jane C; Gallinger, Steven; Giovannucci, Edward L; Haile, Robert W; Harrison, Tabitha A; Hayes, Richard B; Hoffmeister, Michael; Hopper, John L; Hudson, Thomas J; Jeon, Jihyoun; Jenkins, Mark A; Kocarnik, Jonathan; Küry, Sébastien; Le Marchand, Loic; Lin, Yi; Lindor, Noralane M; Nishihara, Reiko; Ogino, Shuji; Potter, John D; Rudolph, Anja; Schoen, Robert E; Schrotz-King, Petra; Seminara, Daniela; Slattery, Martha L; Thibodeau, Stephen N; Thornquist, Mark; Toth, Reka; Wallace, Robert; White, Emily; Jiao, Shuo; Lemire, Mathieu; Hsu, Li; Peters, Ulrike

    2016-10-01

    Genome-wide association studies (GWAS) have identified many genetic susceptibility loci for colorectal cancer (CRC). However, variants in these loci explain only a small proportion of familial aggregation, and there are likely additional variants that are associated with CRC susceptibility. Genome-wide studies of gene-environment interactions may identify variants that are not detected in GWAS of marginal gene effects. To study this, we conducted a genome-wide analysis for interaction between genetic variants and alcohol consumption and cigarette smoking using data from the Colon Cancer Family Registry (CCFR) and the Genetics and Epidemiology of Colorectal Cancer Consortium (GECCO). Interactions were tested using logistic regression. We identified interaction between CRC risk and alcohol consumption and variants in the 9q22.32/HIATL1 (Pinteraction = 1.76×10-8; permuted p-value 3.51x10-8) region. Compared to non-/occasional drinking light to moderate alcohol consumption was associated with a lower risk of colorectal cancer among individuals with rs9409565 CT genotype (OR, 0.82 [95% CI, 0.74-0.91]; P = 2.1×10-4) and TT genotypes (OR,0.62 [95% CI, 0.51-0.75]; P = 1.3×10-6) but not associated among those with the CC genotype (p = 0.059). No genome-wide statistically significant interactions were observed for smoking. If replicated our suggestive finding of a genome-wide significant interaction between genetic variants and alcohol consumption might contribute to understanding colorectal cancer etiology and identifying subpopulations with differential susceptibility to the effect of alcohol on CRC risk.

  9. Genome-Wide Interaction Analyses between Genetic Variants and Alcohol Consumption and Smoking for Risk of Colorectal Cancer.

    Directory of Open Access Journals (Sweden)

    Jian Gong

    2016-10-01

    Full Text Available Genome-wide association studies (GWAS have identified many genetic susceptibility loci for colorectal cancer (CRC. However, variants in these loci explain only a small proportion of familial aggregation, and there are likely additional variants that are associated with CRC susceptibility. Genome-wide studies of gene-environment interactions may identify variants that are not detected in GWAS of marginal gene effects. To study this, we conducted a genome-wide analysis for interaction between genetic variants and alcohol consumption and cigarette smoking using data from the Colon Cancer Family Registry (CCFR and the Genetics and Epidemiology of Colorectal Cancer Consortium (GECCO. Interactions were tested using logistic regression. We identified interaction between CRC risk and alcohol consumption and variants in the 9q22.32/HIATL1 (Pinteraction = 1.76×10-8; permuted p-value 3.51x10-8 region. Compared to non-/occasional drinking light to moderate alcohol consumption was associated with a lower risk of colorectal cancer among individuals with rs9409565 CT genotype (OR, 0.82 [95% CI, 0.74-0.91]; P = 2.1×10-4 and TT genotypes (OR,0.62 [95% CI, 0.51-0.75]; P = 1.3×10-6 but not associated among those with the CC genotype (p = 0.059. No genome-wide statistically significant interactions were observed for smoking. If replicated our suggestive finding of a genome-wide significant interaction between genetic variants and alcohol consumption might contribute to understanding colorectal cancer etiology and identifying subpopulations with differential susceptibility to the effect of alcohol on CRC risk.

  10. Genetic variants in novel pathways influence blood pressure and cardiovascular disease risk.

    Science.gov (United States)

    Ehret, Georg B; Munroe, Patricia B; Rice, Kenneth M; Bochud, Murielle; Johnson, Andrew D; Chasman, Daniel I; Smith, Albert V; Tobin, Martin D; Verwoert, Germaine C; Hwang, Shih-Jen; Pihur, Vasyl; Vollenweider, Peter; O'Reilly, Paul F; Amin, Najaf; Bragg-Gresham, Jennifer L; Teumer, Alexander; Glazer, Nicole L; Launer, Lenore; Zhao, Jing Hua; Aulchenko, Yurii; Heath, Simon; Sõber, Siim; Parsa, Afshin; Luan, Jian'an; Arora, Pankaj; Dehghan, Abbas; Zhang, Feng; Lucas, Gavin; Hicks, Andrew A; Jackson, Anne U; Peden, John F; Tanaka, Toshiko; Wild, Sarah H; Rudan, Igor; Igl, Wilmar; Milaneschi, Yuri; Parker, Alex N; Fava, Cristiano; Chambers, John C; Fox, Ervin R; Kumari, Meena; Go, Min Jin; van der Harst, Pim; Kao, Wen Hong Linda; Sjögren, Marketa; Vinay, D G; Alexander, Myriam; Tabara, Yasuharu; Shaw-Hawkins, Sue; Whincup, Peter H; Liu, Yongmei; Shi, Gang; Kuusisto, Johanna; Tayo, Bamidele; Seielstad, Mark; Sim, Xueling; Nguyen, Khanh-Dung Hoang; Lehtimäki, Terho; Matullo, Giuseppe; Wu, Ying; Gaunt, Tom R; Onland-Moret, N Charlotte; Cooper, Matthew N; Platou, Carl G P; Org, Elin; Hardy, Rebecca; Dahgam, Santosh; Palmen, Jutta; Vitart, Veronique; Braund, Peter S; Kuznetsova, Tatiana; Uiterwaal, Cuno S P M; Adeyemo, Adebowale; Palmas, Walter; Campbell, Harry; Ludwig, Barbara; Tomaszewski, Maciej; Tzoulaki, Ioanna; Palmer, Nicholette D; Aspelund, Thor; Garcia, Melissa; Chang, Yen-Pei C; O'Connell, Jeffrey R; Steinle, Nanette I; Grobbee, Diederick E; Arking, Dan E; Kardia, Sharon L; Morrison, Alanna C; Hernandez, Dena; Najjar, Samer; McArdle, Wendy L; Hadley, David; Brown, Morris J; Connell, John M; Hingorani, Aroon D; Day, Ian N M; Lawlor, Debbie A; Beilby, John P; Lawrence, Robert W; Clarke, Robert; Hopewell, Jemma C; Ongen, Halit; Dreisbach, Albert W; Li, Yali; Young, J Hunter; Bis, Joshua C; Kähönen, Mika; Viikari, Jorma; Adair, Linda S; Lee, Nanette R; Chen, Ming-Huei; Olden, Matthias; Pattaro, Cristian; Bolton, Judith A Hoffman; Köttgen, Anna; Bergmann, Sven; Mooser, Vincent; Chaturvedi, Nish; Frayling, Timothy M; Islam, Muhammad; Jafar, Tazeen H; Erdmann, Jeanette; Kulkarni, Smita R; Bornstein, Stefan R; Grässler, Jürgen; Groop, Leif; Voight, Benjamin F; Kettunen, Johannes; Howard, Philip; Taylor, Andrew; Guarrera, Simonetta; Ricceri, Fulvio; Emilsson, Valur; Plump, Andrew; Barroso, Inês; Khaw, Kay-Tee; Weder, Alan B; Hunt, Steven C; Sun, Yan V; Bergman, Richard N; Collins, Francis S; Bonnycastle, Lori L; Scott, Laura J; Stringham, Heather M; Peltonen, Leena; Perola, Markus; Vartiainen, Erkki; Brand, Stefan-Martin; Staessen, Jan A; Wang, Thomas J; Burton, Paul R; Soler Artigas, Maria; Dong, Yanbin; Snieder, Harold; Wang, Xiaoling; Zhu, Haidong; Lohman, Kurt K; Rudock, Megan E; Heckbert, Susan R; Smith, Nicholas L; Wiggins, Kerri L; Doumatey, Ayo; Shriner, Daniel; Veldre, Gudrun; Viigimaa, Margus; Kinra, Sanjay; Prabhakaran, Dorairaj; Tripathy, Vikal; Langefeld, Carl D; Rosengren, Annika; Thelle, Dag S; Corsi, Anna Maria; Singleton, Andrew; Forrester, Terrence; Hilton, Gina; McKenzie, Colin A; Salako, Tunde; Iwai, Naoharu; Kita, Yoshikuni; Ogihara, Toshio; Ohkubo, Takayoshi; Okamura, Tomonori; Ueshima, Hirotsugu; Umemura, Satoshi; Eyheramendy, Susana; Meitinger, Thomas; Wichmann, H-Erich; Cho, Yoon Shin; Kim, Hyung-Lae; Lee, Jong-Young; Scott, James; Sehmi, Joban S; Zhang, Weihua; Hedblad, Bo; Nilsson, Peter; Smith, George Davey; Wong, Andrew; Narisu, Narisu; Stančáková, Alena; Raffel, Leslie J; Yao, Jie; Kathiresan, Sekar; O'Donnell, Christopher J; Schwartz, Stephen M; Ikram, M Arfan; Longstreth, W T; Mosley, Thomas H; Seshadri, Sudha; Shrine, Nick R G; Wain, Louise V; Morken, Mario A; Swift, Amy J; Laitinen, Jaana; Prokopenko, Inga; Zitting, Paavo; Cooper, Jackie A; Humphries, Steve E; Danesh, John; Rasheed, Asif; Goel, Anuj; Hamsten, Anders; Watkins, Hugh; Bakker, Stephan J L; van Gilst, Wiek H; Janipalli, Charles S; Mani, K Radha; Yajnik, Chittaranjan S; Hofman, Albert; Mattace-Raso, Francesco U S; Oostra, Ben A; Demirkan, Ayse; Isaacs, Aaron; Rivadeneira, Fernando; Lakatta, Edward G; Orru, Marco; Scuteri, Angelo; Ala-Korpela, Mika; Kangas, Antti J; Lyytikäinen, Leo-Pekka; Soininen, Pasi; Tukiainen, Taru; Würtz, Peter; Ong, Rick Twee-Hee; Dörr, Marcus; Kroemer, Heyo K; Völker, Uwe; Völzke, Henry; Galan, Pilar; Hercberg, Serge; Lathrop, Mark; Zelenika, Diana; Deloukas, Panos; Mangino, Massimo; Spector, Tim D; Zhai, Guangju; Meschia, James F; Nalls, Michael A; Sharma, Pankaj; Terzic, Janos; Kumar, M V Kranthi; Denniff, Matthew; Zukowska-Szczechowska, Ewa; Wagenknecht, Lynne E; Fowkes, F Gerald R; Charchar, Fadi J; Schwarz, Peter E H; Hayward, Caroline; Guo, Xiuqing; Rotimi, Charles; Bots, Michiel L; Brand, Eva; Samani, Nilesh J; Polasek, Ozren; Talmud, Philippa J; Nyberg, Fredrik; Kuh, Diana; Laan, Maris; Hveem, Kristian; Palmer, Lyle J; van der Schouw, Yvonne T; Casas, Juan P; Mohlke, Karen L; Vineis, Paolo; Raitakari, Olli; Ganesh, Santhi K; Wong, Tien Y; Tai, E Shyong; Cooper, Richard S; Laakso, Markku; Rao, Dabeeru C; Harris, Tamara B; Morris, Richard W; Dominiczak, Anna F; Kivimaki, Mika; Marmot, Michael G; Miki, Tetsuro; Saleheen, Danish; Chandak, Giriraj R; Coresh, Josef; Navis, Gerjan; Salomaa, Veikko; Han, Bok-Ghee; Zhu, Xiaofeng; Kooner, Jaspal S; Melander, Olle; Ridker, Paul M; Bandinelli, Stefania; Gyllensten, Ulf B; Wright, Alan F; Wilson, James F; Ferrucci, Luigi; Farrall, Martin; Tuomilehto, Jaakko; Pramstaller, Peter P; Elosua, Roberto; Soranzo, Nicole; Sijbrands, Eric J G; Altshuler, David; Loos, Ruth J F; Shuldiner, Alan R; Gieger, Christian; Meneton, Pierre; Uitterlinden, Andre G; Wareham, Nicholas J; Gudnason, Vilmundur; Rotter, Jerome I; Rettig, Rainer; Uda, Manuela; Strachan, David P; Witteman, Jacqueline C M; Hartikainen, Anna-Liisa; Beckmann, Jacques S; Boerwinkle, Eric; Vasan, Ramachandran S; Boehnke, Michael; Larson, Martin G; Järvelin, Marjo-Riitta; Psaty, Bruce M; Abecasis, Gonçalo R; Chakravarti, Aravinda; Elliott, Paul; van Duijn, Cornelia M; Newton-Cheh, Christopher; Levy, Daniel; Caulfield, Mark J; Johnson, Toby

    2011-09-11

    Blood pressure is a heritable trait influenced by several biological pathways and responsive to environmental stimuli. Over one billion people worldwide have hypertension (≥140 mm Hg systolic blood pressure or  ≥90 mm Hg diastolic blood pressure). Even small increments in blood pressure are associated with an increased risk of cardiovascular events. This genome-wide association study of systolic and diastolic blood pressure, which used a multi-stage design in 200,000 individuals of European descent, identified sixteen novel loci: six of these loci contain genes previously known or suspected to regulate blood pressure (GUCY1A3-GUCY1B3, NPR3-C5orf23, ADM, FURIN-FES, GOSR2, GNAS-EDN3); the other ten provide new clues to blood pressure physiology. A genetic risk score based on 29 genome-wide significant variants was associated with hypertension, left ventricular wall thickness, stroke and coronary artery disease, but not kidney disease or kidney function. We also observed associations with blood pressure in East Asian, South Asian and African ancestry individuals. Our findings provide new insights into the genetics and biology of blood pressure, and suggest potential novel therapeutic pathways for cardiovascular disease prevention.

  11. APOE dependent-association of PPAR-γ genetic variants with Alzheimer's disease risk.

    Science.gov (United States)

    Combarros, Onofre; Rodríguez-Rodríguez, Eloy; Mateo, Ignacio; Vázquez-Higuera, José Luis; Infante, Jon; Berciano, José; Sánchez-Juan, Pascual

    2011-03-01

    The peroxisome proliferator-activated receptor-γ (PPAR-γ) is a ligand-inducible transcription factor that suppresses microglial inflammatory responses and inhibits amyloid beta (Aβ) production through promoting cholesterol efflux from glial cells. PPAR-γ agonists have been advanced as a new disease altering approach to Alzheimer's disease (AD), with rosiglitazone therapy having improved cognition in those AD patients that did not possess an Apolipoprotein E (APOE) ε4 allele. The current study was designed to explore the effect of interactions between PPAR-γ and APOE gene polymorphisms on the AD risk. We examined genetic variations of PPAR-γ by genotyping 7 haplotype tagging SNPs (htSNPs) (rs10510412, rs17793951, rs1801282, rs4135263, rs1151999, rs709149, and rs709154) in a group of 352 Spanish late-onset AD cases and 438 controls. The PPAR-γ TCCA haplotype derived from SNPs in introns 4 (rs4135263), 5 (rs1151999), and 6 (rs709149 and rs709154) showed a strong protective effect against AD in APOE ε4 allele noncarriers (p=0.001, permutation p=0.006, Bonferroni corrected p=0.021), with a frequency of 39% in cases and 50% in controls. Our data suggest that PPAR-γ genetic variants may modify the risk of AD in an APOE ε4 allele-dependent fashion.

  12. Seeking genetic susceptibility variants for colorectal cancer: the EPICOLON consortium experience.

    Science.gov (United States)

    Castellví-Bel, Sergi; Ruiz-Ponte, Clara; Fernández-Rozadilla, Ceres; Abulí, Anna; Muñoz, Jenifer; Bessa, Xavier; Brea-Fernández, Alejandro; Ferro, Marta; Giráldez, María Dolores; Xicola, Rosa M; Llor, Xavier; Jover, Rodrigo; Piqué, Josep M; Andreu, Montserrat; Castells, Antoni; Carracedo, Angel

    2012-03-01

    The EPICOLON consortium was initiated in 1999 by the Gastrointestinal Oncology Group of the Spanish Gastroenterology Association. It recruited consecutive, unselected, population-based colorectal cancer (CRC) cases and control subjects matched by age and gender without personal or familial history of cancer all over Spain with the main goal of gaining knowledge in Lynch syndrome and familial CRC. This epidemiological, prospective and multicentre study collected extensive clinical data and biological samples from ∼2000 CRC cases and 2000 controls in Phases 1 and 2 involving 25 and 14 participating hospitals, respectively. Genetic susceptibility projects in EPICOLON have included candidate-gene approaches evaluating single-nucleotide polymorphisms/genes from the historical category (linked to CRC risk by previous studies), from human syntenic CRC susceptibility regions identified in mouse, from the CRC carcinogenesis-related pathways Wnt and BMP, from regions 9q22 and 3q22 with positive linkage in CRC families, and from the mucin gene family. This consortium has also participated actively in the identification 5 of the 16 common, low-penetrance CRC genetic variants identified so far by genome-wide association studies. Finishing their own pangenomic study and performing whole-exome sequencing in selected CRC samples are among EPICOLON future research prospects.

  13. Genetic contribution of catechol-O-methyltransferase variants in treatment outcome of low back pain: a prospective genetic association study

    Directory of Open Access Journals (Sweden)

    Omair Ahmad

    2012-05-01

    Full Text Available Abstract Background Treatment outcome of low back pain (LBP is associated with inter-individual variations in pain relief and functional disability. Genetic variants of catechol-O-methyltransferase (COMT gene have previously been shown to be associated with pain sensitivity and pain medication. This study examines the association between COMT polymorphisms and 7–11 year change in Oswestry Disability Index (ODI and Visual Analog Score (VAS for LBP as clinical outcome variables in patients treated with surgical instrumented lumbar fusion or cognitive intervention and exercise. Methods 93 unrelated patients with chronic LBP for duration of >1 year and lumbar disc degeneration (LDD were treated with lumbar fusion (N = 60 or cognitive therapy and exercises (N = 33. Standardised questionnaires assessing the ODI, VAS LBP, psychological factors and use of analgesics, were answered by patients both at baseline and at 7–11 years follow-up. Four SNPs in the COMT gene were successfully genotyped. Single marker as well as haplotype association with change in ODI and VAS LBP, were analyzed using Haploview, linear regression and R-package Haplostats. P-values were not formally corrected for multiple testing as this was an explorative study. Results Association analysis of individual SNPs adjusted for covariates revealed association of rs4633 and rs4680 with post treatment improvement in VAS LBP (p = 0.02, mean difference (β = 13.5 and p = 0.02, β = 14.2 respectively. SNPs, rs4633 and rs4680 were found to be genotypically similar and in strong linkage disequilibrium (LD. A significant association was found with covariates, analgesics (p = 0.001, β = 18.6; anxiety and depression (p = 0.008, β = 15.4 and age (p = 0.03, mean difference per year (β = 0.7 at follow-up. There was a tendency for better improvement among heterozygous patients compared to the homozygous. No association was observed for the

  14. Analysis of multi-strain Bartonella pathogens in natural host population--do they behave as species or minor genetic variants?

    Science.gov (United States)

    Chan, Kung-Sik; Kosoy, Michael

    2010-12-01

    Modern advances in genetic analysis have made it feasible to ascertain the variant type of a pathogen infecting a host. Classification of pathogen variants is commonly performed by clustering analysis of the observed genetic divergence among the variants. A natural question arises whether the genetically distinct variants are epidemiologically distinct. A broader question is whether the different variants constitute separate microbial species or represent minor variations of the same species. These important issues were addressed in the context of analyzing dynamics of genetically distinct variants of Bartonella bacteria in cotton rat hosts. Frequencies of acquiring a new variant were measured in relation to the genetic differences between variants successively infecting an individual rodent host. Two statistical techniques were introduced for performing such analysis, and the methodologies were illustrated with a set of data collected from a particular multi-strain Bartonella system. We carried out a frequency analysis of co-infection patterns, and a Markov chain analysis of panels of successive mixed infection time series for testing some particular gene-based grouping of the Bartonella variants with a panel of observed disease data from a rodent population. Our analysis suggests that the three genogroups A, B and C of Bartonella function as independent species but the variants within each genogroup enjoy some cross-immunity against each other. The newly developed methodologies are broadly applicable for analyzing other multi-strain pathogen data which are increasingly collected for diverse infectious diseases.

  15. Generation of intervention strategy for a genetic regulatory network represented by a family of Markov Chains.

    Science.gov (United States)

    Berlow, Noah; Pal, Ranadip

    2011-01-01

    Genetic Regulatory Networks (GRNs) are frequently modeled as Markov Chains providing the transition probabilities of moving from one state of the network to another. The inverse problem of inference of the Markov Chain from noisy and limited experimental data is an ill posed problem and often generates multiple model possibilities instead of a unique one. In this article, we address the issue of intervention in a genetic regulatory network represented by a family of Markov Chains. The purpose of intervention is to alter the steady state probability distribution of the GRN as the steady states are considered to be representative of the phenotypes. We consider robust stationary control policies with best expected behavior. The extreme computational complexity involved in search of robust stationary control policies is mitigated by using a sequential approach to control policy generation and utilizing computationally efficient techniques for updating the stationary probability distribution of a Markov chain following a rank one perturbation.

  16. Design of artificial genetic regulatory networks with multiple delayed adaptive responses

    CERN Document Server

    Kaluza, Pablo

    2016-01-01

    Genetic regulatory networks with adaptive responses are widely studied in biology. Usually, models consisting only of a few nodes have been considered. They present one input receptor for activation and one output node where the adaptive response is computed. In this work, we design genetic regulatory networks with many receptors and many output nodes able to produce delayed adaptive responses. This design is performed by using an evolutionary algorithm of mutations and selections that minimizes an error function defined by the adaptive response in signal shapes. We present several examples of network constructions with a predefined required set of adaptive delayed responses. We show that an output node can have different kinds of responses as a function of the activated receptor. Additionally, complex network structures are presented since processing nodes can be involved in several input-output pathways.

  17. Identification and reconstitution of genetic regulatory networks for improved microbial tolerance to isooctane.

    Science.gov (United States)

    Kang, Aram; Chang, Matthew Wook

    2012-04-01

    Microbial tolerance to hydrocarbons has been studied in an effort to improve the productivity of biochemical processes and to enhance the efficiency of hydrocarbon bioremediation. Despite these studies, few attempts have been made to design rational strategies to improve microbial tolerance to hydrocarbons. Herein, we present an engineering framework that enables us to harness our understanding of genetic regulatory networks to improve hydrocarbon tolerance. In this study, isooctane was used as a representative hydrocarbon due to its use in petroleum refining and in biochemical processes. To increase isooctane tolerance, we first identified essential transcriptional determinants and genetic regulatory networks underlying cellular responses to isooctane in Escherichia coli using genome-wide microarray analysis. Based on functional transcriptome and bioinformatics analysis, a range of combinations of transcription factors whose activity was predictably perturbed by isooctane were knocked out and overexpressed to reconstitute the regulatory networks. We demonstrated that the reconstitution of the regulatory networks led to a significant improvement in isooctane tolerance, and especially, engineered E. coli strains lacking and overexpressing some of the perturbed transcription factors showed 3- to 5-fold improvement. This microbe with high tolerance to isooctane can be harnessed for biochemical processes, fuel oil bioremediation and metabolic engineering for biofuel production. Furthermore, we envision that the engineering framework employed to improve the tolerance in this study can be exploited for developing other microbes with desired phenotypes.

  18. Transitions in a genetic transcriptional regulatory system under Lévy motion

    OpenAIRE

    Zheng, Yayun; Serdukova, Larissa; Duan, Jinqiao; Kurths, Jürgen

    2016-01-01

    Based on a stochastic differential equation model for a single genetic regulatory system, we examine the dynamical effects of noisy fluctuations, arising in the synthesis reaction, on the evolution of the transcription factor activator in terms of its concentration. The fluctuations are modeled by Brownian motion and α-stable Lévy motion. Two deterministic quantities, the mean first exit time (MFET) and the first escape probability (FEP), are used to analyse the transitions from the low to hi...

  19. Identification of new TSGA10 transcript variants in human testis with conserved regulatory RNA elements in 5'untranslated region and distinct expression in breast cancer.

    Science.gov (United States)

    Salehipour, Pouya; Nematzadeh, Mahsa; Mobasheri, Maryam Beigom; Afsharpad, Mandana; Mansouri, Kamran; Modarressi, Mohammad Hossein

    2017-09-01

    Testis specific gene antigen 10 (TSGA10) is a cancer testis antigen involved in the process of spermatogenesis. TSGA10 could also play an important role in the inhibition of angiogenesis by preventing nuclear localization of HIF-1α. Although it has been shown that TSGA10 messenger RNA (mRNA) is mainly expressed in testis and some tumors, the transcription pattern and regulatory mechanisms of this gene remain largely unknown. Here, we report that human TSGA10 comprises at least 22 exons and generates four different transcript variants. It was identified that using two distinct promoters and splicing of exons 4 and 7 produced these transcript variants, which have the same coding sequence, but the sequence of 5'untanslated region (5'UTR) is different between them. This is significant because conserved regulatory RNA elements like upstream open reading frame (uORF) and putative internal ribosome entry site (IRES) were found in this region which have different combinations in each transcript variant and it may influence translational efficiency of them in normal or unusual environmental conditions like hypoxia. To indicate the transcription pattern of TSGA10 in breast cancer, expression of identified transcript variants was analyzed in 62 breast cancer samples. We found that TSGA10 tends to express variants with shorter 5'UTR and fewer uORF elements in breast cancer tissues. Our study demonstrates for the first time the expression of different TSGA10 transcript variants in testis and breast cancer tissues and provides a first clue to a role of TSGA10 5'UTR in regulation of translation in unusual environmental conditions like hypoxia. Copyright © 2017. Published by Elsevier B.V.

  20. Review of the regulatory framework on genetically modified food and feed in Albania: a policy perspective

    Directory of Open Access Journals (Sweden)

    ALBAN JAUPI

    2014-06-01

    Full Text Available Recent developments in food production and processing technologies have considerably enhanced man's ability to provide larger quantities and a wider variety of products. However, the recent development biotechnologies has also significantly increased controversy and dispute over the use of food and other goods derived from genetically modified crops instead of from conventional crops, and other uses of genetic engineering in food production. The dispute involves consumers, biotechnology companies, governmental regulators, non-governmental organizations, and scientists. The article reviews the regulatory measures and approaches taken by the government of Albania to assess and manage the risks associated with the development, release and use of genetically modified foods in the country. The review and analyzes is made in light of the processes for harmonization of Albanian’s food policies and its legal and regulatory framework with the EU legislation and Acquis Communautaires. It identifies several important legal and regulatory issues and proposes necessary measures and mechanisms to be put in place related to identification and protection of the public interest and increased ability of consumers to be informed about the foods they eat

  1. Associations between an obesity related genetic variant (FTO rs9939609 and prostate cancer risk.

    Directory of Open Access Journals (Sweden)

    Sarah J Lewis

    Full Text Available Observational studies suggest that obese men have a lower risk of incident prostate cancer, but an increased risk of advanced and fatal cancers. These observations could be due to confounding, detection bias, or a biological effect of obesity. Genetic studies are less susceptible to confounding than observational epidemiology and can suggest how associations between phenotypes (such as obesity and diseases arise. To determine whether the associations between obesity and prostate cancer are causal, we conducted a genetic association study of the relationship between a single nucleotide polymorphism known to be associated with obesity (FTO rs9939609 and prostate cancer. Data are from a population-based sample of 1550 screen-detected prostate cancers, 1815 age- and general practice matched controls with unrestricted prostate specific antigen (PSA values and 1175 low-PSA controls (PSA <0.5 ng/ml. The rs9939609 A allele, which was associated with higher BMI in the sample, was inversely associated with overall (odds ratio (OR versus all controls  = 0.93; 95% confidence interval (CI: 0.85-1.02 p = 0.12 per allele and low-grade (OR = 0.90; 0.81-0.99 p = 0.03 per allele prostate cancer risk, but positively associated with high-grade cancer among cases (OR high- versus low-grade cancer  = 1.16; 0.99-1.37 p = 0.07 per allele. Although evidence for these effects was weak, they are consistent with observational data based on BMI phenotypes and suggest that the observed association between obesity and prostate cancer is not due to confounding. Further research should confirm these findings, extend them to other BMI-related genetic variants and determine whether they are due to detection bias or obesity-related hormonal changes.Controlled-Trials.com ISRCTN20141297.

  2. Association between smoking behaviour and genetic variants of glial cell line-derived neurotrophic factor

    Indian Academy of Sciences (India)

    ESZTER KOTYUK; NORA NEMETH; ZSOLT RONAI; ZSOLT DEMETROVICS; MARIA SASVARI-SZEKELY; ANNA SZEKELY

    2016-12-01

    Glial cell line-derived neurotrophic factor (GDNF) promotes development and differentiation of dopaminergic neurons, thus it has an important role in dopamine-related neuropsychiatric disorders. Since the role of dopamine system in smoking iswell established, we hypothesized that GDNF gene variants may affect smoking behaviour. Self-reported data on smoking behaviour (never smoked, quit, occasional, or regular smokers) and level of nicotine addiction (Hooked on Nicotine Checklist and Fagerstrom Nicotine Addiction Scale), anxiety, as well as buccal samples were obtained from 930 Hungarian young adults (18–35 years). Genetic analysis involved eight GDNF single-nucleotide polymorphisms (SNP) (rs1981844, rs3812047, rs3096140, rs2973041, rs2910702, rs1549250, rs2973050 and rs11111). Allele-wise association analyses of the eight GDNF SNPs provided a significant association between smoking behaviour and rs3096140 (P = 0.0039). The minor allele (C) was more frequent in those groups who smoked in some form (quit, occasional or regular smokers) as compared to those who neversmoked (P = 0.0046). This result remained significant after Bonferroni correction for multiple testing. In the ever smoking group, no significant differences were found in the level of nicotine addiction by the alleles of these polymorphisms. Also, nosignificant interaction of rs3096140 and smoking categories were observed on anxiety mean scores. Although previous data demonstrated an association between GDNF rs2910704 and severity of methamphetamine use to the best of our knowledge, this is the first study on the role of GDNF genetic variations in smoking behaviour. Our results suggest that GDNF rs3096140 might be involved in the genetic background of smoking, independent of anxiety characteristics.

  3. Genetic variants associated with lean and obese type 2 diabetes in a Han Chinese population

    Science.gov (United States)

    Kong, Xiaomu; Xing, Xiaoyan; Hong, Jing; Zhang, Xuelian; Yang, Wenying

    2016-01-01

    Abstract Type 2 diabetes (T2D) is highly phenotypically heterogeneous. Genetics of the heterogeneity of lean and obese T2D is not clear. The aim of the present study was to identify the associations of T2D-related genetic variants with the risks for lean and obese T2D among the Chinese Han population. A case–control study consisting of 5338 T2D patients and 4663 normal glycemic controls of Chinese Han recruited in the Chinese National Diabetes and Metabolic Disorders Study was conducted. T2D cases were identified according to the 1999 World Health Organization criteria. Lean T2D was defined as T2D patient with a body mass index (BMI) CAMK1D, HHEX, and TCF2 were associated with the risk for lean T2D, and SNPs in or near KCNQ1 and FTO were associated with the risk for obese T2D. The results showed that the GRS for 25 T2D-related SNPs was more strongly associated with the risk for lean T2D (Ptrend = 2.66 × 10−12) than for obese T2D (Ptrend = 2.91 × 10−5) in our study population. Notably, the T2D GRS contributed to lower obesity-related measurements and greater β-cell dysfunction, including lower insulin levels in oral glucose tolerance test, decreased insulinogenic index, and Homeostasis Model Assessment for β-cell Function. In conclusion, our findings identified T2D-related genetic loci that contribute to the risk of lean and obese T2D individually and additively in a Chinese Han population. Moreover, the study highlights the contribution of known T2D genomic loci to the heterogeneity of lean and obese T2D in Chinese Hans. PMID:27281091

  4. Association between Genetic Variants and Diabetes Mellitus in Iranian Populations: A Systematic Review of Observational Studies

    Directory of Open Access Journals (Sweden)

    Mehrnoosh Khodaeian

    2015-01-01

    Full Text Available Introduction. Diabetes mellitus as the most prevalent metabolic disease is a multifactorial disease which is influenced by environmental and genetic factors. In this systematic review, we assessed the association between genetic variants and diabetes/its complications in studies with Iranian populations. Methods. Google Scholar, PubMed, Scopus, and Persian web databases were systematically searched up to January 2014. The search terms were “gene,” “polymorphism,” “diabetes,” and “diabetic complications”; nephropathy, retinopathy, neuropathy, foot ulcer, and CAD (coronary artery diseases; and Persian equivalents. Animal studies, letters to editor, and in vitro studies were excluded. Results. Out of overall 3029 eligible articles, 88 articles were included. We found significant association between CTLA-4, IL-18, VDR, TAP2, IL-12, and CD4 genes and T1DM, HNFα and MODY, haptoglobin, paraoxonase, leptin, TCF7L2, calreticulin, ERα, PPAR-γ2, CXCL5, calpain-10, IRS-1 and 2, GSTM1, KCNJ11, eNOS, VDR, INSR, ACE, apoA-I, apo E, adiponectin, PTPN1, CETP, AT1R, resistin, MMP-3, BChE K, AT2R, SUMO4, IL-10, VEGF, MTHFR, and GSTM1 with T2DM or its complications. Discussion. We found some controversial results due to heterogeneity in ethnicity and genetic background. We thought genome wide association studies on large number of samples will be helpful in identifying diabetes susceptible genes as an alternative to studying individual candidate genes in Iranian populations.

  5. Multicapillary gel electrophoresis based analysis of genetic variants in the WFS1 gene.

    Science.gov (United States)

    Elek, Zsuzsanna; Dénes, Réka; Prokop, Susanne; Somogyi, Anikó; Yowanto, Handy; Luo, Jane; Souquet, Manfred; Guttman, András; Rónai, Zsolt

    2016-09-01

    The WFS1 gene is one of the thoroughly investigated targets in diabetes research, variants of the gene were suggested to be the genetic components of the common forms (type 1 and type 2) of diabetes. Our project focused on the analysis of polymorphisms (rs4689388, rs148797429, rs4273545) localized in the WFS1 promoter region. Although submarine gel electrophoresis based approaches were also employed in the genetic tests, it was demonstrated that multicapillary electrophoresis offers a state of the art approach for reliable high-throughput SNP and VNTR analysis. Association studies were carried out in a case-control setup. Luciferase reporter assay was employed to test the effect of the investigated loci on the activity of gene expression in vitro. Significant association could be demonstrated between all three polymorphisms and type 2 diabetes in both allele- and genotype-wise settings even using Bonferroni correction. It is notable; however, that the three loci were in strong linkage disequilibrium, thus the observed associations cannot be considered as separate effects. Molecular analyses showed that the rs4273545 GT SNP played a role in the regulation of transcription in vitro. However, this effect took place only in the presence of the region including the rs148797429 site, although this latter locus did not have its own impact on the regulation of gene expression. The paper provides genotyping protocols readily applicable in any multiplex SNP and VNTR analyses, moreover confirms and extends previous results about the role of WFS1 polymorphisms in the genetic risk of diabetes mellitus. © 2016 WILEY-VCH Verlag GmbH & Co. KGaA, Weinheim.

  6. Novel genetic variants modify the effect of smoking on carotid plaque burden in Hispanics.

    Science.gov (United States)

    Della-Morte, David; Wang, Liyong; Beecham, Ashley; Blanton, Susan H; Zhao, Hongyu; Sacco, Ralph L; Rundek, Tatjana; Dong, Chuanhui

    2014-09-15

    Smoking greatly increases the risk of atherosclerotic plaque and the effect may vary from individual to individual. A genome-wide scan was performed for smoking×single nucleotide polymorphism (SNP) interactions on carotid plaque burden (CPB) to identify the potential genetic moderators in Hispanics. Carotid B-mode ultrasonography and genotyping by the Affymetrix 6.0 chip were performed in a discovery sample of 665 Caribbean Hispanics, followed by replication analyses in 264 Caribbean Hispanics. CPB was expressed as the sum of plaque areas over the segments in common and internal carotid arteries and bifurcation. Smoking was classified as 0, genetic model, regression analysis was conducted to test for smoking×SNP interaction on the cube root transformed CPB while controlling for age, sex, and the top 3 principal components of ancestry. Two SNPs showed a significant interaction with smoking on CPB with the similar effects in both discovery (Psmoking was significantly associated with greater CPB in A allele carriers (beta±SE: 0.24±0.08, P=0.005 in AG carriers; beta±SE: 0.48±0.12, P=0.0002 in AA carriers) but not in GG (P=0.06). For SNP rs7001413 within LY96 and JPH1, more smoking was significantly associated with greater CPB in GG carriers (beta±SE: 0.24±0.06, P=6.8E-5) but not in T carriers (P=0.06). Our study suggests that genetic variants may modulate the effect of smoking on CPB and highlights several genes for further investigation of their role in atherosclerosis, especially in smoking population. Copyright © 2014 Elsevier B.V. All rights reserved.

  7. Association between smoking behaviour and genetic variants of glial cell line-derived neurotrophic factor.

    Science.gov (United States)

    Kotyuk, Eszter; Nemeth, Nora; Ronai, Zsolt; Demetrovics, Zsolt; Sasvari-Szekely, Maria; Szekely, Anna

    2016-12-01

    Glial cell line-derived neurotrophic factor (GDNF) promotes development and differentiation of dopaminergic neurons, thus it has an important role in dopamine-related neuropsychiatric disorders. Since the role of dopamine system in smoking is well established, we hypothesized that GDNF gene variants may affect smoking behaviour. Self-reported data on smoking behaviour (never smoked, quit, occasional, or regular smokers) and level of nicotine addiction (Hooked on Nicotine Checklist and Fagerstrom Nicotine Addiction Scale), anxiety, as well as buccal samples were obtained from 930 Hungarian young adults (18-35 years). Genetic analysis involved eight GDNF single-nucleotide polymorphisms (SNP) (rs1981844, rs3812047, rs3096140, rs2973041, rs2910702, rs1549250, rs2973050 and rs11111). Allele-wise association analyses of the eight GDNF SNPs provided a significant association between smoking behaviour and rs3096140 (P=0.0039). The minor allele (C) was more frequent in those groups who smoked in some form (quit, occasional or regular smokers) as compared to those who never smoked (P = 0.0046). This result remained significant after Bonferroni correction for multiple testing. In the ever smoking group, no significant differences were found in the level of nicotine addiction by the alleles of these polymorphisms. Also, no significant interaction of rs3096140 and smoking categories were observed on anxiety mean scores. Although previous data demonstrated an association between GDNF rs2910704 and severity of methamphetamine use to the best of our knowledge, this is the first study on the role of GDNF genetic variations in smoking behaviour. Our results suggest that GDNF rs3096140 might be involved in the genetic background of smoking, independent of anxiety characteristics.

  8. Association of genetic variants with atherothrombotic cerebral infarction in Japanese individuals with metabolic syndrome.

    Science.gov (United States)

    Yamada, Yoshiji; Kato, Kimihiko; Oguri, Mitsutoshi; Yoshida, Tetsuro; Yokoi, Kiyoshi; Watanabe, Sachiro; Metoki, Norifumi; Yoshida, Hidemi; Satoh, Kei; Ichihara, Sahoko; Aoyagi, Yukitoshi; Yasunaga, Akitomo; Park, Hyuntae; Tanaka, Masashi; Nozawa, Yoshinori

    2008-06-01

    Metabolic syndrome is a risk factor for cardiovascular disease. The aim of the present study was to identify genetic variants that confer susceptibility to atherothrombotic cerebral infarction among individuals with metabolic syndrome in order to allow prediction of genetic risk for this condition. The study population comprised 1284 unrelated Japanese individuals with metabolic syndrome, including 313 subjects with atherothrombotic cerebral infarction and 971 controls. The genotypes for 296 polymorphisms of 202 candidate genes were determined with a method that combines the polymerase chain reaction and sequence-specific oligonucleotide probes with suspension array technology. The Chi-square test, multivariable logistic regression analysis with adjustment for age, sex, body mass index, and the prevalence of hypertension, hypercholesterolemia, and diabetes mellitus, as well as a stepwise forward selection procedure revealed that the 2445G-->A (Ala54Thr) polymorphism (rs1799883) of FABP2, the -108/3G-->4G polymorphism of IPF1 (S82168), the A-->G (Thr94Ala) polymorphism (rs2241883) of FABP1, the G-->A (Asp2213Asn) polymorphism (rs529038) of ROS1, the -11377C-->G polymorphism (rs266729) of ADIPOQ, the 162A-->C polymorphism (rs4769055) of ALOX5AP, the -786T-->C polymorphism (rs2070744) of NOS3, and the 3279C-->T polymorphism (rs7291467) of LGALS2 were associated (PA (Ala54Thr) polymorphism of FABP2 was most significantly associated with this condition. Our results suggest that FABP2, IPF1, FABP1, ROS1, ADIPOQ, ALOX5AP, NOS3, and LGALS2 are susceptibility loci for atherothrombotic cerebral infarction among Japanese individuals with metabolic syndrome. Genotypes for these polymorphisms, especially for the 2445G-->A (Ala54Thr) polymorphism of FABP2, may prove informative for the prediction of genetic risk for atherothrombotic cerebral infarction among such individuals.

  9. Genetic variants and early cigarette smoking and nicotine dependence phenotypes in adolescents.

    Directory of Open Access Journals (Sweden)

    Jennifer O'Loughlin

    Full Text Available While the heritability of cigarette smoking and nicotine dependence (ND is well-documented, the contribution of specific genetic variants to specific phenotypes has not been closely examined. The objectives of this study were to test the associations between 321 tagging single-nucleotide polymorphisms (SNPs that capture common genetic variation in 24 genes, and early smoking and ND phenotypes in novice adolescent smokers, and to assess if genetic predictors differ across these phenotypes.In a prospective study of 1294 adolescents aged 12-13 years recruited from ten Montreal-area secondary schools, 544 participants who had smoked at least once during the 7-8 year follow-up provided DNA. 321 single-nucleotide polymorphisms (SNPs in 24 candidate genes were tested for an association with number of cigarettes smoked in the past 3 months, and with five ND phenotypes (a modified version of the Fagerstrom Tolerance Questionnaire, the ICD-10 and three clusters of ND symptoms representing withdrawal symptoms, use of nicotine for self-medication, and a general ND/craving symptom indicator.The pattern of SNP-gene associations differed across phenotypes. Sixteen SNPs in seven genes (ANKK1, CHRNA7, DDC, DRD2, COMT, OPRM1, SLC6A3 (also known as DAT1 were associated with at least one phenotype with a p-value <0.01 using linear mixed models. After permutation and FDR adjustment, none of the associations remained statistically significant, although the p-values for the association between rs557748 in OPRM1 and the ND/craving and self-medication phenotypes were both 0.076.Because the genetic predictors differ, specific cigarette smoking and ND phenotypes should be distinguished in genetic studies in adolescents. Fifteen of the 16 top-ranked SNPs identified in this study were from loci involved in dopaminergic pathways (ANKK1/DRD2, DDC, COMT, OPRM1, and SLC6A3.Dopaminergic pathways may be salient during early smoking and the development of ND.

  10. TPMT, COMT and ACYP2 genetic variants in paediatric cancer patients with cisplatin-induced ototoxicity.

    Science.gov (United States)

    Thiesen, Signe; Yin, Peng; Jorgensen, Andrea L; Zhang, Jieying Eunice; Manzo, Valentina; McEvoy, Laurence; Barton, Christopher; Picton, Susan; Bailey, Simon; Brock, Penelope; Vyas, Harish; Walker, David; Makin, Guy; Bandi, Srinivas; Pizer, Barry; Hawcutt, Daniel B; Pirmohamed, Munir

    2017-06-01

    Cisplatin ototoxicity affects 42-88% of treated children. Catechol-O-methyltransferase (COMT), thiopurine methyltransferase (TPMT) and AYCP2 genetic variants have been associated with ototoxicity, but the findings have been contradictory. The aims of the study were as follows: (a) to investigate these associations in a carefully phenotyped cohort of UK children and (b) to perform a systematic review and meta-analysis. We recruited 149 children from seven UK centres using a retrospective cohort study design. All participants were clinically phenotyped carefully. Genotyping was performed for one ACYP2 (rs1872328), three TPMT (rs12201199, rs1142345 and rs1800460) and two COMT (rs4646316 and rs9332377) variants. For CTCAE grading, hearing loss was present in 91/120 (75.8%; worst ear) and 79/120 (65.8%; better ear). Using Chang grading, hearing loss was diagnosed in 85/119 (71.4%; worst ear) versus 75/119 (63.0%; better ear). No TPMT or COMT single-nucleotide polymorphisms (SNPs) were associated with ototoxicity. ACYP2 SNP rs1872328 was associated with ototoxicity (P=0.027; worst ear). Meta-analysis of our data with that reported in previous studies showed the pooled odds ratio (OR) to be statistically significant for both the COMT SNP rs4646316 (OR: 1.50; 95% confidence interval: 1.15-1.95) and the ACYP2 SNP rs1872328 (OR: 5.91; 95% confidence interval: 1.51-23.16). We showed an association between the ACYP2 polymorphism and cisplatin-induced ototoxicity, but not with the TPMT and COMT. A meta-analysis was statistically significant for both the COMT rs4646316 and the ACYP2 rs1872328 SNPs. Grading the hearing of children with asymmetric hearing loss requires additional clarification.

  11. The impact of FADS genetic variants on ω6 polyunsaturated fatty acid metabolism in African Americans

    Directory of Open Access Journals (Sweden)

    Rudock Megan E

    2011-05-01

    Full Text Available Abstract Background Arachidonic acid (AA is a long-chain omega-6 polyunsaturated fatty acid (PUFA synthesized from the precursor dihomo-gamma-linolenic acid (DGLA that plays a vital role in immunity and inflammation. Variants in the Fatty Acid Desaturase (FADS family of genes on chromosome 11q have been shown to play a role in PUFA metabolism in populations of European and Asian ancestry; no work has been done in populations of African ancestry to date. Results In this study, we report that African Americans have significantly higher circulating levels of plasma AA (p = 1.35 × 10-48 and lower DGLA levels (p = 9.80 × 10-11 than European Americans. Tests for association in N = 329 individuals across 80 nucleotide polymorphisms (SNPs in the Fatty Acid Desaturase (FADS locus revealed significant association with AA, DGLA and the AA/DGLA ratio, a measure of enzymatic efficiency, in both racial groups (peak signal p = 2.85 × 10-16 in African Americans, 2.68 × 10-23 in European Americans. Ancestry-related differences were observed at an upstream marker previously associated with AA levels (rs174537, wherein, 79-82% of African Americans carry two copies of the G allele compared to only 42-45% of European Americans. Importantly, the allelic effect of the G allele, which is associated with enhanced conversion of DGLA to AA, on enzymatic efficiency was similar in both groups. Conclusions We conclude that the impact of FADS genetic variants on PUFA metabolism, specifically AA levels, is likely more pronounced in African Americans due to the larger proportion of individuals carrying the genotype associated with increased FADS1 enzymatic conversion of DGLA to AA.

  12. Association analysis of genetic variants in the myosin IXB gene in acute pancreatitis.

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    Rian M Nijmeijer

    Full Text Available INTRODUCTION: Impairment of the mucosal barrier plays an important role in the pathophysiology of acute pancreatitis. The myosin IXB (MYO9B gene and the two tight-junction adaptor genes, PARD3 and MAGI2, have been linked to gastrointestinal permeability. Common variants of these genes are associated with celiac disease and inflammatory bowel disease, two other conditions in which intestinal permeability plays a role. We investigated genetic variation in MYO9B, PARD3 and MAGI2 for association with acute pancreatitis. METHODS: Five single nucleotide polymorphisms (SNPs in MYO9B, two SNPs in PARD3, and three SNPs in MAGI2 were studied in a Dutch cohort of 387 patients with acute pancreatitis and over 800 controls, and in a German cohort of 235 patients and 250 controls. RESULTS: Association to MYO9B and PARD3 was observed in the Dutch cohort, but only one SNP in MYO9B and one in MAGI2 showed association in the German cohort (p < 0.05. Joint analysis of the combined cohorts showed that, after correcting for multiple testing, only two SNPs in MYO9B remained associated (rs7259292, p = 0.0031, odds ratio (OR 1.94, 95% confidence interval (95% CI 1.35-2.78; rs1545620, p = 0.0006, OR 1.33, 95% CI 1.16-1.53. SNP rs1545620 is a non-synonymous SNP previously suspected to impact on ulcerative colitis. None of the SNPs showed association to disease severity or etiology. CONCLUSION: Variants in MYO9B may be involved in acute pancreatitis, but we found no evidence for involvement of PARD3 or MAGI2.

  13. A general approach for combining diverse rare variant association tests provides improved robustness across a wider range of genetic architectures.

    Science.gov (United States)

    Greco, Brian; Hainline, Allison; Arbet, Jaron; Grinde, Kelsey; Benitez, Alejandra; Tintle, Nathan

    2016-05-01

    The widespread availability of genome sequencing data made possible by way of next-generation technologies has yielded a flood of different gene-based rare variant association tests. Most of these tests have been published because they have superior power for particular genetic architectures. However, for applied researchers it is challenging to know which test to choose in practice when little is known a priori about genetic architecture. Recently, tests have been proposed which combine two particular individual tests (one burden and one variance components) to minimize power loss while improving robustness to a wider range of genetic architectures. In our analysis we propose an expansion of these approaches, yielding a general method that works for combining any number of individual tests. We demonstrate that running multiple different tests on the same data set and using a Bonferroni correction for multiple testing is never better than combining tests using our general method. We also find that using a test statistic that is highly robust to the inclusion of non-causal variants (joint-infinity) together with a previously published combined test (sequence kernel adaptive test-optimal) provides improved robustness to a wide range of genetic architectures and should be considered for use in practice. Software for this approach is supplied. We support the increased use of combined tests in practice - as well as further exploration of novel combined testing approaches using the general framework provided here - to maximize robustness of rare variant testing strategies against a wide range of genetic architectures.

  14. Analysis of CCR5 and SDF-1 genetic variants and HIV infection in Indian population.

    Science.gov (United States)

    Gupta, A; Padh, Harish

    2015-08-01

    HIV-1 infection and progression exhibits interindividual variation. The polymorphism in the chemokine receptors CCR5 and CXCR4, the principal coreceptors for HIV-1 and their ligands like SDF-1 have a profound effect in altering the HIV-1 disease progression rate. A single nucleotide polymorphism designated SDF1-3'UTR-801G-A has been associated with resistance to HIV-1 infection or delayed progression to AIDS. In this study, the SDF1-3'A polymorphism, CCR5∆32 polymorphism and CCR5 promoter polymorphism at positions 58934 G/T, 59029 G/A, 59353 T/C, 59356 C/T, 59402 A/G and 59653 C/T were analysed in Indian population. The polymorphisms in HIV-1 patients and healthy individuals were evaluated by conventional PCR, RFLP-PCR and direct sequencing techniques. The CCR5∆32 mutant allele was found to be almost absent in Indian population. The analysis of the CCR5-59356C/T polymorphism revealed a trend towards an association of the C allele with an increased risk of HIV-1 infection. The frequency of allele CCR5-59356C was higher in HIV-1 patients (100%) as compared to healthy control subjects (89%, P = 0.003). The correlation of SDF1-3'A and CCR5 promoter CCR5-58934G/T, CCR5-59029G/A, CCR5-59353T/C, CCR5-59402 A/G and CCR5-59653C/T polymorphisms and protection to HIV-1 infection and progression to AIDS was found to be nonsignificant. Nine haplotypes with more than 1% frequency were detected but were not significant in their protective role against HIV. Comparative analysis with global populations showed a noteworthy difference in CCR5 and SDF-1 polymorphisms' frequency distribution, indicating the ethnic variability of Indians. Although susceptibility to infections cannot be completely dependent on one or few genetic variants, it is important to remember that SDF-1 and CCR5 variants have been correlated globally with HIV-1 infection and disease progression. In the light of that, higher frequency of SDF-1 variants in the Indian population is noteworthy.

  15. Semiconductor Whole Exome Sequencing for the Identification of Genetic Variants in Colombian Patients Clinically Diagnosed with Long QT Syndrome.

    Science.gov (United States)

    Burgos, Mariana; Arenas, Alvaro; Cabrera, Rodrigo

    2016-08-01

    Inherited long QT syndrome (LQTS) is a cardiac channelopathy characterized by a prolongation of QT interval and the risk of syncope, cardiac arrest, and sudden cardiac death. Genetic diagnosis of LQTS is critical in medical practice as results can guide adequate management of patients and distinguish phenocopies such as catecholaminergic polymorphic ventricular tachycardia (CPVT). However, extensive screening of large genomic regions is required in order to reliably identify genetic causes. Semiconductor whole exome sequencing (WES) is a promising approach for the identification of variants in the coding regions of most human genes. DNA samples from 21 Colombian patients clinically diagnosed with LQTS were enriched for coding regions using multiplex polymerase chain reaction (PCR) and subjected to WES using a semiconductor sequencer. Semiconductor WES showed mean coverage of 93.6 % for all coding regions relevant to LQTS at >10× depth with high intra- and inter-assay depth heterogeneity. Fifteen variants were detected in 12 patients in genes associated with LQTS. Three variants were identified in three patients in genes associated with CPVT. Co-segregation analysis was performed when possible. All variants were analyzed with two pathogenicity prediction algorithms. The overall prevalence of LQTS and CPVT variants in our cohort was 71.4 %. All LQTS variants previously identified through commercial genetic testing were identified. Standardized WES assays can be easily implemented, often at a lower cost than sequencing panels. Our results show that WES can identify LQTS-causing mutations and permits differential diagnosis of related conditions in a real-world clinical setting. However, high heterogeneity in sequencing depth and low coverage in the most relevant genes is expected to be associated with reduced analytical sensitivity.

  16. Genetic Variants in KLOTHO Associate With Cognitive Function in the Oldest Old Group

    DEFF Research Database (Denmark)

    Mengel-From, Jonas; Sørensen, Mette; Nygaard, Marianne

    2016-01-01

    cognitive measures in two cohort strata. The haplotype effect was stronger than that of KL-VS. Two variants, rs2283368 and rs9526984, were the only variants significantly associated with cognitive decline over 7 years. We discuss an age-dependent effect of KL and the possibility that multiple gene variants...

  17. Genetic study of human cells in vitro. Carbohydrate variants from cultures of HeLa and conjunctival cells.

    Science.gov (United States)

    CHANG, R S

    1960-02-01

    The isolation of carbohydrate variants from cultures of HeLa and conjunctival cells was described. Factors inherent in the cell culture system, such as parent populations and dialyzed serums, have been shown to influence the outcome of variant isolations. Established stable variants incorporated significantly more pentoses or lactate into various cell fractions than the parent cultures. Besides their abilities to propagate continuously in the selecting environments, the variants multiplied slower, were more susceptible to sub-zero preservation and the cytotoxic effect of D-2-deoxyglucose, showed lower cloning efficiencies and were less susceptible to the deleterious effect of glucose oxidase. The ribose variants also differed from the parent cultures in morphological appearance such as formation of multinucleated cells and ring-shaped colonies. They converted more ribose into other component sugars of mucopolysaccharides than the parent cultures. Preliminary analyses of the mucopolysaccharides extracted from the ribose variants and parent cultures showed large difference in their carbohydrate (Molisch-positive materials) and DNA ratios. Evidence suggests that a sequence of interrelated events from genetic selection to primitive morphogenesis has been established.

  18. Predicting the Pathogenic Potential of BRCA1 and BRCA2 Gene Variants Identified in Clinical Genetic Testing

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    Clare Brookes

    2015-05-01

    Full Text Available Objectives: Missense variants are very commonly detected when screening for mutations in the BRCA1 and BRCA2 genes. Pathogenic mutations in the BRCA1 and BRCA2 genes lead to an increased risk of developing breast, ovarian, prostate and/or pancreatic cancer. This study aimed to assess the predictive capability of in silico programmes and mutation databases in assisting diagnostic laboratories to determine the pathogenicity of sequence-detectable mutations. Methods: Between July 2011 and April 2013, an analysis was undertaken of 13 missense BRCA gene variants that had been detected in patients referred to the Genetic Health Services New Zealand (Northern Hub for BRCA gene analysis. The analysis involved the use of 13 in silico protein prediction programmes, two in silico transcript analysis programmes and the examination of three BRCA gene databases. Results: In most of the variants, the analysis showed different in silico interpretations. This illustrates the interpretation challenges faced by diagnostic laboratories. Conclusion: Unfortunately, when using online mutation databases and carrying out in silico analyses, there is significant discordance in the classification of some missense variants in the BRCA genes. This discordance leads to complexities in interpreting and reporting these variants in a clinical context. The authors have developed a simple procedure for analysing variants; however, those of unknown significance largely remain unknown. As a consequence, the clinical value of some reports may be negligible.

  19. Shared genetic susceptibility to ischemic stroke and coronary artery disease – a genome-wide analysis of common variants

    Science.gov (United States)

    Dichgans, Martin; Malik, Rainer; König, Inke R.; Rosand, Jonathan; Clarke, Robert; Gretarsdottir, Solveig; Thorleifsson, Gudmar; Mitchell, Braxton D.; Assimes, Themistocles L.; Levi, Christopher; O′Donnell, Christopher J.; Fornage, Myriam; Thorsteinsdottir, Unnur; Psaty, Bruce M.; Hengstenberg, Christian; Seshadri, Sudha; Erdmann, Jeanette; Bis, Joshua C.; Peters, Annette; Boncoraglio, Giorgio B.; März, Winfried; Meschia, James F.; Kathiresan, Sekar; Ikram, M. Arfan; McPherson, Ruth; Stefansson, Kari; Sudlow, Cathie; Reilly, Muredach P.; Thompson, John R.; Sharma, Pankaj; Hopewell, Jemma C.; Chambers, John C.; Watkins, Hugh; Rothwell, Peter M.; Roberts, Robert; Markus, Hugh S.; Samani, Nilesh J.; Farrall, Martin; Schunkert, Heribert

    2014-01-01

    Summary Background and Purpose Ischemic stroke (IS) and coronary artery disease (CAD) share several risk factors and each have a substantial heritability. We conducted a genome-wide analysis to evaluate the extent of shared genetic determination of the two diseases. Methods Genome-wide association data were obtained from the METASTROKE, CARDIoGRAM, and C4D consortia. We first analyzed common variants reaching a nominal threshold of significance (pstroke (LAS) subtype. Results Common variants associated with CAD at pgenetic risk of ischemic stroke and particularly the large artery stroke subtype with coronary artery disease. PMID:24262325

  20. The influence of regulatory fit on evaluation and intentions to buy genetically modified foods: The mediating role of social identification

    NARCIS (Netherlands)

    Fransen, M.L.; Reinders, M.J.; Bartels, J.; Maassen, R.L.

    2010-01-01

    The present study examines how communicated messages could be effective in affecting consumers' attitudes and behavioural intentions regarding genetically modified (GM) foods. Based on Regulatory Focus Theory, it was hypothesized that exposure to a communication message matching a consumer's regulat

  1. Protein-altering and regulatory genetic variants near GATA4 implicated in bicuspid aortic valve

    DEFF Research Database (Denmark)

    Yang, Bo; Zhou, Wei-Wu; Jiao, Jiao

    2017-01-01

    Bicuspid aortic valve (BAV) is a heritable congenital heart defect and an important risk factor for valvulopathy and aortopathy. Here we report a genome-wide association scan of 466 BAV cases and 4,660 age, sex and ethnicity-matched controls with replication in up to 1,326 cases and 8,103 control...

  2. Genetic variants in IL2RA and IL7R affect multiple sclerosis disease risk and progression

    Science.gov (United States)

    Traboulsee, Anthony L.; Bernales, Cecily Q.; Ross, Jay P.; Lee, Joshua D.; Sadovnick, A. Dessa; Vilariño-Güell, Carles

    2016-01-01

    Multiple sclerosis (MS) is a common demyelinating neurodegenerative disease with a strong genetic component. Previous studies have associated genetic variants in IL2RA and IL7R in the pathophysiology of the disease. In this study we describe the association between IL2RA (rs2104286) and IL7R (rs6897932) in the Canadian population. Genotyping 1,978 MS patients and 830 controls failed to identify any significant association between these variants and disease risk. However, stratified analysis for family history of disease, and disease course identified a trend towards association for IL2RA in patients without a family history (p = 0.05; odds ratio = 0.77), and a significant association between IL7R and patients who developed progressive MS (PrMS) (p = 0.002; odds ratio = 0.73). Although not statistically significant, the effect of IL2RA (rs2104286) in patients without a family history of MS indicates that the genetic components for familial and sporadic disease are perhaps distinct. This data suggests the onset of sporadic disease is likely determined by a large number of variants of small effect, whereas MS in patients with a family history of disease is caused by a few deleterious variants. In addition, the significant association between PrMS and rs6897932 indicates that IL7R may not be disease-causing but a determinant of disease course. Further characterization of the effect of IL2RA and IL7R genetic variants in defined MS subtypes is warranted to evaluate the effect of these genes on specific clinical outcomes and to further elucidate the mechanisms of disease onset and progression. PMID:24770783

  3. Genetic regulatory signatures underlying islet gene expression and type 2 diabetes

    Science.gov (United States)

    Varshney, Arushi; Scott, Laura J.; Welch, Ryan P.; Erdos, Michael R.; Chines, Peter S.; Narisu, Narisu; Albanus, Ricardo D’O.; Orchard, Peter; Wolford, Brooke N.; Kursawe, Romy; Vadlamudi, Swarooparani; Cannon, Maren E.; Didion, John P.; Hensley, John; Kirilusha, Anthony; Bonnycastle, Lori L.; Taylor, D. Leland; Watanabe, Richard; Mohlke, Karen L.; Boehnke, Michael; Collins, Francis S.; Parker, Stephen C. J.; Stitzel, Michael L.

    2017-01-01

    Genome-wide association studies (GWAS) have identified >100 independent SNPs that modulate the risk of type 2 diabetes (T2D) and related traits. However, the pathogenic mechanisms of most of these SNPs remain elusive. Here, we examined genomic, epigenomic, and transcriptomic profiles in human pancreatic islets to understand the links between genetic variation, chromatin landscape, and gene e