Literature DB >> 23650146

A genome-wide association study for venous thromboembolism: the extended cohorts for heart and aging research in genomic epidemiology (CHARGE) consortium.

Weihong Tang1, Martina Teichert2,3, Daniel I Chasman4,5, John A Heit6, Pierre-Emmanuel Morange7, Guo Li8, Bruno H Ch Stricker2,9,10, Paul M Ridker4,5, Aaron R Folsom1, Nicholas L Smith11,12, Nathan Pankratz13, Frank W Leebeek14, Guillaume Paré15, Mariza de Andrade16, Christophe Tzourio17, Bruce M Psaty18,19, Saonli Basu20, Rikje Ruiter2, Lynda Rose4, Sebastian M Armasu16, Thomas Lumley21, Susan R Heckbert11,19,12, André G Uitterlinden2,22,9, Mark Lathrop23, Kenneth M Rice24, Mary Cushman25, Albert Hofman2, Jean-Charles Lambert26, Nicole L Glazer27, James S Pankow1, Jacqueline C Witteman2, Philippe Amouyel26,28, Joshua C Bis8, Edwin G Bovill29, Xiaoxiao Kong20, Russell P Tracy30, Eric Boerwinkle31, Jerome I Rotter32, David-Alexandre Trégouët33, Daan W Loth2,10.   

Abstract

Venous thromboembolism (VTE) is a common, heritable disease resulting in high rates of hospitalization and mortality. Yet few associations between VTE and genetic variants, all in the coagulation pathway, have been established. To identify additional genetic determinants of VTE, we conducted a two-stage genome-wide association study (GWAS) among individuals of European ancestry in the extended cohorts for heart and aging research in genomic epidemiology (CHARGE) VTE consortium. The discovery GWAS comprised 1,618 incident VTE cases out of 44,499 participants from six community-based studies. Genotypes for genome-wide single-nucleotide polymorphisms (SNPs) were imputed to approximately 2.5 million SNPs in HapMap and association with VTE assessed using study-design appropriate regression methods. Meta-analysis of these results identified two known loci, in F5 and ABO. Top 1,047 tag SNPs (P ≤ 0.0016) from the discovery GWAS were tested for association in an additional 3,231 cases and 3,536 controls from three case-control studies. In the combined data from these two stages, additional genome-wide significant associations were observed on 4q35 at F11 (top SNP rs4253399, intronic to F11) and on 4q28 at FGG (rs6536024, 9.7 kb from FGG; P < 5.0 × 10(-13) for both). The associations at the FGG locus were not completely explained by previously reported variants. Loci at or near SUSD1 and OTUD7A showed borderline yet novel associations (P < 5.0 × 10(-6) ) and constitute new candidate genes. In conclusion, this large GWAS replicated key genetic associations in F5 and ABO, and confirmed the importance of F11 and FGG loci for VTE. Future studies are warranted to better characterize the associations with F11 and FGG and to replicate the new candidate associations.
© 2013 WILEY PERIODICALS, INC.

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Year:  2013        PMID: 23650146      PMCID: PMC3990406          DOI: 10.1002/gepi.21731

Source DB:  PubMed          Journal:  Genet Epidemiol        ISSN: 0741-0395            Impact factor:   2.135


  46 in total

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2.  MaCH: using sequence and genotype data to estimate haplotypes and unobserved genotypes.

Authors:  Yun Li; Cristen J Willer; Jun Ding; Paul Scheet; Gonçalo R Abecasis
Journal:  Genet Epidemiol       Date:  2010-12       Impact factor: 2.135

3.  Fibrinogen alpha and gamma genes and factor VLeiden in children with thromboembolism: results from 2 family-based association studies.

Authors:  Ulrike Nowak-Göttl; Hartmut Weiler; Irene Hernandez; Sabine Thedieck; Tanja Seehafer; Thomas Schulte; Monika Stoll
Journal:  Blood       Date:  2009-06-10       Impact factor: 22.113

4.  Variants in ZFHX3 are associated with atrial fibrillation in individuals of European ancestry.

Authors:  Emelia J Benjamin; Kenneth M Rice; Dan E Arking; Arne Pfeufer; Charlotte van Noord; Albert V Smith; Renate B Schnabel; Joshua C Bis; Eric Boerwinkle; Moritz F Sinner; Abbas Dehghan; Steven A Lubitz; Ralph B D'Agostino; Thomas Lumley; Georg B Ehret; Jan Heeringa; Thor Aspelund; Christopher Newton-Cheh; Martin G Larson; Kristin D Marciante; Elsayed Z Soliman; Fernando Rivadeneira; Thomas J Wang; Gudny Eiríksdottir; Daniel Levy; Bruce M Psaty; Man Li; Alanna M Chamberlain; Albert Hofman; Ramachandran S Vasan; Tamara B Harris; Jerome I Rotter; W H Linda Kao; Sunil K Agarwal; Bruno H Ch Stricker; Ke Wang; Lenore J Launer; Nicholas L Smith; Aravinda Chakravarti; André G Uitterlinden; Philip A Wolf; Nona Sotoodehnia; Anna Köttgen; Cornelia M van Duijn; Thomas Meitinger; Martina Mueller; Siegfried Perz; Gerhard Steinbeck; H-Erich Wichmann; Kathryn L Lunetta; Susan R Heckbert; Vilmundur Gudnason; Alvaro Alonso; Stefan Kääb; Patrick T Ellinor; Jacqueline C M Witteman
Journal:  Nat Genet       Date:  2009-07-13       Impact factor: 38.330

5.  Fibrinogen gamma gene 3'-end polymorphisms and risk of venous thromboembolism in the African-American and Caucasian population.

Authors:  Shirley Uitte de Willige; Meridith E Pyle; Hans L Vos; Marieke C H de Visser; Cathy Lally; Nicole F Dowling; W Craig Hooper; Rogier M Bertina; Harland Austin
Journal:  Thromb Haemost       Date:  2009-06       Impact factor: 5.249

6.  Common susceptibility alleles are unlikely to contribute as strongly as the FV and ABO loci to VTE risk: results from a GWAS approach.

Authors:  David-Alexandre Trégouët; Simon Heath; Noémie Saut; Christine Biron-Andreani; Jean-François Schved; Gilles Pernod; Pilar Galan; Ludovic Drouet; Diana Zelenika; Irène Juhan-Vague; Marie-Christine Alessi; Laurence Tiret; Mark Lathrop; Joseph Emmerich; Pierre-Emmanuel Morange
Journal:  Blood       Date:  2009-03-10       Impact factor: 22.113

Review 7.  Genotype imputation.

Authors:  Yun Li; Cristen Willer; Serena Sanna; Gonçalo Abecasis
Journal:  Annu Rev Genomics Hum Genet       Date:  2009       Impact factor: 8.929

8.  Genetic variants associated with deep vein thrombosis: the F11 locus.

Authors:  Y Li; I D Bezemer; C M Rowland; C H Tong; A R Arellano; J J Catanese; J J Devlin; P H Reitsma; L A Bare; F R Rosendaal
Journal:  J Thromb Haemost       Date:  2009-07-06       Impact factor: 5.824

9.  METAL: fast and efficient meta-analysis of genomewide association scans.

Authors:  Cristen J Willer; Yun Li; Gonçalo R Abecasis
Journal:  Bioinformatics       Date:  2010-07-08       Impact factor: 6.937

10.  The Rotterdam Study: 2010 objectives and design update.

Authors:  Albert Hofman; Monique M B Breteler; Cornelia M van Duijn; Harry L A Janssen; Gabriel P Krestin; Ernst J Kuipers; Bruno H Ch Stricker; Henning Tiemeier; André G Uitterlinden; Johannes R Vingerling; Jacqueline C M Witteman
Journal:  Eur J Epidemiol       Date:  2009       Impact factor: 8.082

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  45 in total

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

Authors:  James S Pankow; Weihong Tang; Nathan Pankratz; Weihua Guan; Lu-Chen Weng; Mary Cushman; Eric Boerwinkle; Aaron R Folsom
Journal:  Arterioscler Thromb Vasc Biol       Date:  2017-01-12       Impact factor: 8.311

2.  Prospective study of γ' fibrinogen and incident venous thromboembolism: The Longitudinal Investigation of Thromboembolism Etiology (LITE).

Authors:  Aaron R Folsom; Weihong Tang; Kristen M George; Susan R Heckbert; Richard F MacLehose; Mary Cushman; James S Pankow
Journal:  Thromb Res       Date:  2016-01-12       Impact factor: 3.944

3.  Taller height as a risk factor for venous thromboembolism: a Mendelian randomization meta-analysis.

Authors:  N S Roetker; S M Armasu; J S Pankow; P L Lutsey; W Tang; M A Rosenberg; T M Palmer; R F MacLehose; S R Heckbert; M Cushman; M de Andrade; A R Folsom
Journal:  J Thromb Haemost       Date:  2017-06-06       Impact factor: 5.824

Review 4.  Inherited risk factors for venous thromboembolism.

Authors:  Ida Martinelli; Valerio De Stefano; Pier M Mannucci
Journal:  Nat Rev Cardiol       Date:  2014-01-14       Impact factor: 32.419

5.  Targeted gene sequencing identifies variants in the protein C and endothelial protein C receptor genes in patients with unprovoked venous thromboembolism.

Authors:  Cynthia Wu; Dhruva J Dwivedi; Laura Pepler; Zakhar Lysov; John Waye; Jim Julian; Karl Desch; David Ginsburg; Jeffrey I Weitz; Clive Kearon; Patricia C Liaw
Journal:  Arterioscler Thromb Vasc Biol       Date:  2013-09-19       Impact factor: 8.311

6.  Interaction of a genetic risk score with physical activity, physical inactivity, and body mass index in relation to venous thromboembolism risk.

Authors:  Jihye Kim; Peter Kraft; Kaitlin A Hagan; Laura B Harrington; Sara Lindstroem; Christopher Kabrhel
Journal:  Genet Epidemiol       Date:  2018-03-08       Impact factor: 2.135

7.  The pharmacoepigenomics informatics pipeline defines a pathway of novel and known warfarin pharmacogenomics variants.

Authors:  Ari Allyn-Feuer; Alex Ade; Jasmine A Luzum; Gerald A Higgins; Brian D Athey
Journal:  Pharmacogenomics       Date:  2018-02-05       Impact factor: 2.533

8.  Identifying mutation-driven changes in gene functionality that lead to venous thromboembolism.

Authors:  Yanran Wang; Yana Bromberg
Journal:  Hum Mutat       Date:  2019-07-03       Impact factor: 4.878

9.  Interactions of established risk factors and a GWAS-based genetic risk score on the risk of venous thromboembolism.

Authors:  Marta Crous-Bou; Immaculata De Vivo; Carlos A Camargo; Raphaëlle Varraso; Francine Grodstein; Majken K Jensen; Peter Kraft; Samuel Z Goldhaber; Sara Lindström; Christopher Kabrhel
Journal:  Thromb Haemost       Date:  2016-06-16       Impact factor: 5.249

10.  Prospective study of plasma D-dimer and incident venous thromboembolism: The Atherosclerosis Risk in Communities (ARIC) Study.

Authors:  Aaron R Folsom; Alvaro Alonso; Kristen M George; Nicholas S Roetker; Weihong Tang; Mary Cushman
Journal:  Thromb Res       Date:  2015-08-28       Impact factor: 3.944

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