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Dive into the research topics where Richard Sherva is active.

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Featured researches published by Richard Sherva.


Nature Genetics | 2007

Common variants in WFS1 confer risk of type 2 diabetes

Manjinder S. Sandhu; Michael N. Weedon; Katherine Fawcett; Jon Wasson; Sally L Debenham; Allan Daly; Hana Lango; Timothy M. Frayling; Rosalind J Neumann; Richard Sherva; Ilana Blech; Paul Pharoah; Colin N. A. Palmer; Charlotte H. Kimber; Roger Tavendale; Andrew D. Morris; Mark McCarthy; Mark Walker; Graham A. Hitman; Benjamin Glaser; M. Alan Permutt; Andrew T. Hattersley; Nicholas J. Wareham; Inês Barroso

We studied genes involved in pancreatic β cell function and survival, identifying associations between SNPs in WFS1 and diabetes risk in UK populations that we replicated in an Ashkenazi population and in additional UK studies. In a pooled analysis comprising 9,533 cases and 11,389 controls, SNPs in WFS1 were strongly associated with diabetes risk. Rare mutations in WFS1 cause Wolfram syndrome; using a gene-centric approach, we show that variation in WFS1 also predisposes to common type 2 diabetes.


Human Molecular Genetics | 2008

Variants in the CD36 gene associate with the metabolic syndrome and high-density lipoprotein cholesterol

Latisha Love-Gregory; Richard Sherva; Lingwei Sun; Jon Wasson; Timothy Schappe; Alessandro Doria; D. C. Rao; Steven C. Hunt; Samuel Klein; Rosalind J. Neuman; M. Alan Permutt; Nada A. Abumrad

A region along chromosome 7q was recently linked to components of the metabolic syndrome (MetS) in several genome-wide linkage studies. Within this region, the CD36 gene, which encodes a membrane receptor for long-chain fatty acids and lipoproteins, is a potentially important candidate. CD36 has been documented to play an important role in fatty acid metabolism in vivo and subsequently may be involved in the etiology of the MetS. The protein also impacts survival to malaria and the influence of natural selection has resulted in high CD36 genetic variability in populations of African descent. We evaluated 36 tag SNPs across CD36 in the HyperGen population sample of 2020 African-Americans for impact on the MetS and its quantitative traits. Five SNPs associated with increased odds for the MetS [P = 0.0027-0.03, odds ratio (OR) = 1.3-1.4]. Coding SNP, rs3211938, previously shown to influence malaria susceptibility, is documented to result in CD36 deficiency in a homozygous subject. This SNP conferred protection against the MetS (P = 0.0012, OR = 0.61, 95%CI: 0.46-0.82), increased high-density lipoprotein cholesterol, HDL-C (P = 0.00018) and decreased triglycerides (P = 0.0059). Fifteen additional SNPs associated with HDL-C (P = 0.0028-0.044). We conclude that CD36 variants may impact MetS pathophysiology and HDL metabolism, both predictors of the risk of heart disease and type 2 diabetes.


Addiction | 2008

Association of a single nucleotide polymorphism in neuronal acetylcholine receptor subunit alpha 5 (CHRNA5) with smoking status and with ‘pleasurable buzz’ during early experimentation with smoking

Richard Sherva; Kirk C. Wilhelmsen; Cynthia S. Pomerleau; Scott A. Chasse; John P. Rice; Sandy M. Snedecor; Laura J. Bierut; Rosalind J. Neuman; Ovide F. Pomerleau

Aims To extend the previously identified association between a single nucleotide polymorphism (SNP) in neuronal acetylcholine receptor subunit alpha-5 (CHRNA5) and nicotine dependence to current smoking and initial smoking-experience phenotypes. Design, setting, participants Case–control association study with a community-based sample, comprising 363 Caucasians and 72 African Americans (203 cases, 232 controls). Measurements Cases had smoked ≥ five cigarettes/day for ≥ 5 years and had smoked at their current rate for the past 6 months. Controls had smoked between one and 100 cigarettes in their life-time, but never regularly. Participants also rated, retrospectively, pleasurable and displeasurable sensations experienced when they first smoked. We tested for associations between smoking phenotypes and the top 25 SNPs tested for association with nicotine dependence in a previous study. Findings A non-synonymous coding SNP in CHRNA5, rs16969968, was associated with case status [odds ratio (OR) = 1.5, P = 0.01] and, in Caucasians, with experiencing a pleasurable rush or buzz during the first cigarette (OR = 1.6, P = 0.01); these sensations were associated highly with current smoking (OR = 8.2, P = 0.0001). Conclusions We replicated the observation that the minor allele of rs16969968 affects smoking behavior, and extended these findings to sensitivity to smoking effects upon experimentation. While the ability to test genetic associations was limited by sample size, the polymorphism in the CHRNA5 subunit was shown to be associated significantly with enhanced pleasurable responses to initial cigarettes in regular smokers in an a priori test. The findings suggest that phenotypes related to subjective experiences upon smoking experimentation may mediate the development of nicotine dependence.


Arthritis & Rheumatism | 2013

Granulomatosis with polyangiitis (Wegener's) is associated with HLA-DPB1*04 and SEMA6A gene variants: Evidence from genome-wide analysis.

Gang Xie; Delnaz Roshandel; Richard Sherva; Paul A. Monach; Yue Lu; Tabitha Kung; Keisha Carrington; Steven S. Zhang; Sara L. Pulit; Stephan Ripke; Simon Carette; Paul F. Dellaripa; Jeffrey C. Edberg; Gary S. Hoffman; Nader Khalidi; Carol A. Langford; Alfred Mahr; E. William St. Clair; Philip Seo; Ulrich Specks; Robert Spiera; John H. Stone; Steven R. Ytterberg; Soumya Raychaudhuri; Paul I. W. de Bakker; Lindsay A. Farrer; Christopher I. Amos; Peter A. Merkel; Katherine A. Siminovitch

OBJECTIVEnTo identify genetic determinants of granulomatosis with polyangiitis (Wegeners) (GPA).nnnMETHODSnWe carried out a genome-wide association study (GWAS) of 492 GPA cases and 1,506 healthy controls (white subjects of European descent), followed by replication analysis of the most strongly associated signals in an independent cohort of 528 GPA cases and 1,228 controls.nnnRESULTSnGenome-wide significant associations were identified in 32 single-nucleotide polymorphic (SNP) markers across the HLA region, the majority of which were located in the HLA-DPB1 and HLA-DPA1 genes encoding the class II major histocompatibility complex (MHC) DPβ chain 1 and DPα chain 1 proteins, respectively. Peak association signals in these 2 genes, emanating from SNPs rs9277554 (for DPβ chain 1) and rs9277341 (DPα chain 1) were strongly replicated in an independent cohort (in the combined analysis of the initial cohort and the replication cohort, P = 1.92 × 10(-50) and 2.18 × 10(-39) , respectively). Imputation of classic HLA alleles and conditional analyses revealed that the SNP association signal was fully accounted for by the classic HLA-DPB1*04 allele. An independent single SNP, rs26595, near SEMA6A (the gene for semaphorin 6A) on chromosome 5, was also associated with GPA, reaching genome-wide significance in a combined analysis of the GWAS and replication cohorts (P = 2.09 × 10(-8) ).nnnCONCLUSIONnWe identified the SEMA6A and HLA-DP loci as significant contributors to risk for GPA, with the HLA-DPB1*04 allele almost completely accounting for the MHC association. These two associations confirm the critical role of immunogenetic factors in the development of GPA.


Diabetes | 2008

Population-Specific Risk of Type 2 Diabetes Conferred by HNF4A P2 Promoter Variants: A Lesson for Replication Studies

Inês Barroso; Jian'an Luan; Eleanor Wheeler; Pamela Whittaker; Jon Wasson; Eleftheria Zeggini; Michael N. Weedon; Sarah Hunt; Ranganath Venkatesh; Timothy M. Frayling; Marcos Delgado; Rosalind J. Neuman; J. H. Zhao; Richard Sherva; Benjamin Glaser; M. Walker; Graham A. Hitman; Mark McCarthy; Andrew T. Hattersley; M. Alan Permutt; Nicholas J. Wareham; Panagiotis Deloukas

OBJECTIVE—Single nucleotide polymorphisms (SNPs) in the P2 promoter region of HNF4A were originally shown to be associated with predisposition for type 2 diabetes in Finnish, Ashkenazi, and, more recently, Scandinavian populations, but they generated conflicting results in additional populations. We aimed to investigate whether data from a large-scale mapping approach would replicate this association in novel Ashkenazi samples and in U.K. populations and whether these data would allow us to refine the association signal. RESEARCH DESIGN AND METHODS—Using a dense linkage disequilibrium map of 20q, we selected SNPs from a 10-Mb interval centered on HNF4A. In a staged approach, we first typed 4,608 SNPs in case-control populations from four U.K. populations and an Ashkenazi population (n = 2,516). In phase 2, a subset of 763 SNPs was genotyped in 2,513 additional samples from the same populations. RESULTS—Combined analysis of both phases demonstrated association between HNF4A P2 SNPs (rs1884613 and rs2144908) and type 2 diabetes in the Ashkenazim (n = 991; P < 1.6 × 10−6). Importantly, these associations are significant in a subset of Ashkenazi samples (n = 531) not previously tested for association with P2 SNPs (odds ratio [OR] ∼1.7; P < 0.002), thus providing replication within the Ashkenazim. In the U.K. populations, this association was not significant (n = 4,022; P > 0.5), and the estimate for the OR was much smaller (OR 1.04; [95%CI 0.91–1.19]). CONCLUSIONS—These data indicate that the risk conferred by HNF4A P2 is significantly different between U.K. and Ashkenazi populations (P < 0.00007), suggesting that the underlying causal variant remains unidentified. Interactions with other genetic or environmental factors may also contribute to this difference in risk between populations.


Translational Psychiatry | 2015

Genome-wide meta-analysis reveals common splice site acceptor variant in CHRNA4 associated with nicotine dependence.

Dana B. Hancock; G W Reginsson; Nathan C. Gaddis; Xiangning Chen; Nancy L. Saccone; Sharon M. Lutz; B. Qaiser; Richard Sherva; Stacy Steinberg; F Zink; Simon N. Stacey; Cristie Glasheen; Jinyun Chen; Fangyi Gu; B N Frederiksen; Anu Loukola; Daniel F. Gudbjartsson; Irene Brüske; Maria Teresa Landi; Heike Bickeböller; P. A. F. Madden; Lindsay A. Farrer; Jaakko Kaprio; Henry R. Kranzler; Joel Gelernter; Timothy B. Baker; Peter Kraft; Christopher I. Amos; N. Caporaso; John E. Hokanson

We conducted a 1000 Genomes–imputed genome-wide association study (GWAS) meta-analysis for nicotine dependence, defined by the Fagerström Test for Nicotine Dependence in 17u2009074 ever smokers from five European-ancestry samples. We followed up novel variants in 7469 ever smokers from five independent European-ancestry samples. We identified genome-wide significant association in the alpha-4 nicotinic receptor subunit (CHRNA4) gene on chromosome 20q13: lowest P=8.0 × 10−9 across all the samples for rs2273500-C (frequency=0.15; odds ratio=1.12 and 95% confidence interval=1.08–1.17 for severe vs mild dependence). rs2273500-C, a splice site acceptor variant resulting in an alternate CHRNA4 transcript predicted to be targeted for nonsense-mediated decay, was associated with decreased CHRNA4 expression in physiologically normal human brains (lowest P=7.3 × 10−4). Importantly, rs2273500-C was associated with increased lung cancer risk (N=28u2009998, odds ratio=1.06 and 95% confidence interval=1.00–1.12), likely through its effect on smoking, as rs2273500-C was no longer associated with lung cancer after adjustment for smoking. Using criteria for smoking behavior that encompass more than the single ‘cigarettes per day’ item, we identified a common CHRNA4 variant with important regulatory properties that contributes to nicotine dependence and smoking-related consequences.


Alcoholism: Clinical and Experimental Research | 2009

Associations and interactions between SNPs in the alcohol metabolizing genes and alcoholism phenotypes in European Americans.

Richard Sherva; John P. Rice; Rosalind J. Neuman; Nanette Rochberg; Nancy L. Saccone; Laura J. Bierut

BACKGROUNDnAlcohol dependence is a major cause of morbidity and mortality worldwide and has a strong familial component. Several linkage and association studies have identified chromosomal regions and/or genes that affect alcohol consumption, notably in genes involved in the 2-stage pathway of alcohol metabolism.nnnMETHODSnHere, we use multiple regression models to test for associations and interactions between 2 alcohol-related phenotypes and SNPs in 17 genes involved in alcohol metabolism in a sample of 1,588 European American subjects.nnnRESULTSnThe strongest evidence for association after correcting for multiple testing was between rs1229984, a nonsynonymous coding SNP in ADH1B, and DSM-IV symptom count (p = 0.0003). This SNP was also associated with maximum number of drinks in 24 hours (p = 0.0004). Each minor allele at this SNP predicts 45% fewer DSM-IV symptoms and 18% fewer max drinks. Another SNP in a splice site in ALDH1A1 (rs8187974) showed evidence for association with both phenotypes as well (p = 0.02 and 0.004, respectively), but neither association was significant after accounting for multiple testing. Minor alleles at this SNP predict greater alcohol consumption. In addition, pairwise interactions were observed between SNPs in several genes (p = 0.00002).nnnCONCLUSIONSnWe replicated the large effect of rs1229984 on alcohol behavior, and although not common (MAF = 4%), this polymorphism may be highly relevant from a public health perspective in European Americans. Another SNP, rs8187974, may also affect alcohol behavior but requires replication. Also, interactions between polymorphisms in genes involved in alcohol metabolism are likely determinants of the parameters that ultimately affect alcohol consumption.


Molecular Psychiatry | 2016

Evidence of CNIH3 involvement in opioid dependence

Elliot C. Nelson; Arpana Agrawal; Andrew C. Heath; Ryan Bogdan; Richard Sherva; Bo Zhang; Ream Al-Hasani; Michael R. Bruchas; Yi-Ling Chou; Catherine H. Demers; Caitlin E. Carey; Emily Drabant Conley; Amanda K. Fakira; Lindsay A. Farrer; Alison Goate; Scott D. Gordon; Anjali K. Henders; Victor Hesselbrock; Manav Kapoor; Michael T. Lynskey; Pamela A. F. Madden; Jose A. Morón; John P. Rice; Nancy L. Saccone; Sibylle G. Schwab; Fiona Shand; Alexandre A. Todorov; Leanne Wallace; Ting Wang; Naomi R. Wray

Opioid dependence, a severe addictive disorder and major societal problem, has been demonstrated to be moderately heritable. We conducted a genome-wide association study in Comorbidity and Trauma Study data comparing opioid-dependent daily injectors (N=1167) with opioid misusers who never progressed to daily injection (N=161). The strongest associations, observed for CNIH3 single-nucleotide polymorphisms (SNPs), were confirmed in two independent samples, the Yale-Penn genetic studies of opioid, cocaine and alcohol dependence and the Study of Addiction: Genetics and Environment, which both contain non-dependent opioid misusers and opioid-dependent individuals. Meta-analyses found five genome-wide significant CNIH3 SNPs. The A allele of rs10799590, the most highly associated SNP, was robustly protective (P=4.30E-9; odds ratio 0.64 (95% confidence interval 0.55–0.74)). Epigenetic annotation predicts that this SNP is functional in fetal brain. Neuroimaging data from the Duke Neurogenetics Study (N=312) provide evidence of this SNP’s in vivo functionality; rs10799590 A allele carriers displayed significantly greater right amygdala habituation to threat-related facial expressions, a phenotype associated with resilience to psychopathology. Computational genetic analyses of physical dependence on morphine across 23 mouse strains yielded significant correlations for haplotypes in CNIH3 and functionally related genes. These convergent findings support CNIH3 involvement in the pathophysiology of opioid dependence, complementing prior studies implicating the α-amino-3-hydroxy-5-methyl-4-isoxazolepropionic acid (AMPA) glutamate system.


Stroke | 2011

Pharmacogenetic effect of the stromelysin (MMP3) polymorphism on stroke risk in relation to antihypertensive treatment: The GenHAT Study

Richard Sherva; Charles E. Ford; John H. Eckfeldt; Barry R. Davis; Eric Boerwinkle; Donna K. Arnett

Background and Purpose— Atherothrombotic diseases including stroke share a common etiology of atherosclerosis, and susceptibility to atherosclerosis has a genetic component. Stromelysin-1 (matrix metalloproteinase-3 [MMP3]) regulates arterial matrix composition and is a candidate gene for atherothrombosis. A common polymorphism of MMP3 alters expression levels and affects atherosclerotic progression and plaque stability. As part of the Genetics of Hypertension Associated Treatment study, ancillary to the Antihypertensive and Lipid Lowering to Prevent Heart Attack Trial, we evaluated the 5A/6A polymorphism in MMP3 to determine its association with stroke and determine whether it modifies clinical outcome response to blood pressure–lowering drugs. Methods— The effect of the MMP3 5A/6A polymorphism on stroke rates was examined by using multivariate-adjusted Cox regression models, including a test for interactions between genotype and antihypertensive drug class. Results— Compared with participants treated with chlorthalidone with the 6A/6A genotype, individuals with the 6A/6A genotype randomized to lisinopril had higher stroke rates (hazard ratio=1.32; 95% CI, 1.08 to 1.61; P=0.007) and 5A/6A individuals taking lisinopril had lower stroke rates (hazard ratiointeraction=0.74; 95% CI, 0.53 to 1.04; Pinteraction=0.08), whereas 5A/5A individuals taking lisinopril had the lowest stroke rate (hazard ratiointeraction=0.51; 95% CI, 0.31 to 0.85; Pinteraction=0.009). There were no pharmacogenetic differences in stroke rate by genotype in patients taking amlodipine or doxazosin vs chlorthalidone. Conclusions— The MMP3 6A/6A genotype is associated with an increased risk of stroke in hypertensive subjects taking lisinopril compared with patients treated with chlorthalidone, whereas a protective effect was found for 5A/5A individuals treated with lisinopril. Genetic screening for the MMP3 5A/6A genotype might be a useful tool to select optimal antihypertensive therapy if this finding is replicated. Clinical Trial Registration— URL: http://www.clinicaltrials.gov. Unique identifier: NCT00563901.


Stroke | 2008

A Whole-Genome Scan for Stroke or Myocardial Infarction in Family Blood Pressure Program Families

Richard Sherva; Michael B. Miller; James S. Pankow; Steven C. Hunt; Eric Boerwinkle; Thomas H. Mosley; Alan B. Weder; J. David Curb; Amy Luke; Alanna C. Morrison; Myriam Fornage; Donna K. Arnett

Background and Purpose— Atherothrombotic diseases, including stroke and myocardial infarction, share a common pathogenesis. Chromosomal regions have been linked to atherothrombotic diseases in family studies, and association studies have identified candidate gene polymorphisms that affect the risk of stroke and/or myocardial infarction. Using data from the Family Blood Pressure Program, we tested for chromosomal regions linked to the composite phenotype of stroke or myocardial infarction in a large set of hypertensive families. Methods— Nonparametric linkage analysis was implemented in MERLIN, which tests for excess allele-sharing among affected siblings. Empirical distributions based on gene dropping simulations were constructed for each test statistic, and the −log10 of the associated probability values were compared. Results— Analyses were based on 9607 individuals in 226 black, 395 Hispanic, and 207 white families; 106 families had multiple affected individuals. Several regions showed linkage to stroke or myocardial infarction, most significantly in Hispanics on chromosomes 2p21 (−log10 P=3.0) and 7q21.1 (−log10 P=2.8), 9q32 in blacks and Hispanics (−log10 P=3.0), 11p13 in blacks (−log10 P=2.1), and 12q24.33 in whites (−log10 P=3.0). Conclusions— There is statistically significant evidence for loci affecting stroke or myocardial infarction on chromosomes 2, 9, and 12.

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Rosalind J. Neuman

Washington University in St. Louis

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John P. Rice

Washington University in St. Louis

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Jon Wasson

Washington University in St. Louis

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M. Alan Permutt

Washington University in St. Louis

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Nancy L. Saccone

Washington University in St. Louis

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