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The gene, environment association studies consortium (GENEVA): maximizing the knowledge obtained from GWAS by collaboration across studies of multiple conditions
Author(s) -
Cornelis Marilyn C.,
Agrawal Arpana,
Cole John W.,
Hansel Nadia N.,
Barnes Kathleen C.,
Beaty Terri H.,
Bennett Siiri N.,
Bierut Laura J.,
Boerwinkle Eric,
Doheny Kimberly F.,
Feenstra Bjarke,
Feingold Eleanor,
Fornage Myriam,
Haiman Christopher A.,
Harris Emily L.,
Hayes M. Geoffrey,
Heit John A.,
Hu Frank B.,
Kang Jae H.,
Laurie Cathy C.,
Ling Hua,
Manolio Teri A.,
Marazita Mary L.,
Mathias Rasika A.,
Mirel Daniel B.,
Paschall Justin,
Pasquale Louis R.,
Pugh Elizabeth W.,
Rice John P.,
Udren Jenna,
van Dam Rob M.,
Wang Xiaojing,
Wiggs Janey L.,
Williams Kayleen,
Yu Kai
Publication year - 2010
Publication title -
genetic epidemiology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.301
H-Index - 98
eISSN - 1098-2272
pISSN - 0741-0395
DOI - 10.1002/gepi.20492
Subject(s) - genome wide association study , genetic association , genotyping , biology , computational biology , genetics , data science , computer science , gene , single nucleotide polymorphism , genotype
Genome‐wide association studies (GWAS) have emerged as powerful means for identifying genetic loci related to complex diseases. However, the role of environment and its potential to interact with key loci has not been adequately addressed in most GWAS. Networks of collaborative studies involving different study populations and multiple phenotypes provide a powerful approach for addressing the challenges in analysis and interpretation shared across studies. The Gene, Environment Association Studies (GENEVA) consortium was initiated to: identify genetic variants related to complex diseases; identify variations in gene‐trait associations related to environmental exposures; and ensure rapid sharing of data through the database of Genotypes and Phenotypes. GENEVA consists of several academic institutions, including a coordinating center, two genotyping centers and 14 independently designed studies of various phenotypes, as well as several Institutes and Centers of the National Institutes of Health led by the National Human Genome Research Institute. Minimum detectable effect sizes include relative risks ranging from 1.24 to 1.57 and proportions of variance explained ranging from 0.0097 to 0.02. Given the large number of research participants ( N >80,000), an important feature of GENEVA is harmonization of common variables, which allow analyses of additional traits. Environmental exposure information available from most studies also enables testing of gene‐environment interactions. Facilitated by its sizeable infrastructure for promoting collaboration, GENEVA has established a unified framework for genotyping, data quality control, analysis and interpretation. By maximizing knowledge obtained through collaborative GWAS incorporating environmental exposure information, GENEVA aims to enhance our understanding of disease etiology, potentially identifying opportunities for intervention. Genet. Epidemiol . 34: 364–372, 2010. © 2010 Wiley‐Liss, Inc.