The gene,environment association studies consortium (GENEVA): maximizing the knowledge obtained from GWAS by collaboration across studies of multiple conditions |
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| Authors: | Marilyn C. Cornelis Arpana Agrawal John W. Cole Nadia N. Hansel Kathleen C. Barnes Terri H. Beaty Siiri N. Bennett Laura J. Bierut Eric Boerwinkle Kimberly F. Doheny Bjarke Feenstra Eleanor Feingold Myriam Fornage Christopher A. Haiman Emily L. Harris M. Geoffrey Hayes John A. Heit Frank B. Hu Jae H. Kang Cathy C. Laurie Hua Ling Teri A. Manolio Mary L. Marazita Rasika A. Mathias Daniel B. Mirel Justin Paschall Louis R. Pasquale Elizabeth W. Pugh John P. Rice Jenna Udren Rob M. van Dam Xiaojing Wang Janey L. Wiggs Kayleen Williams Kai Yu |
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| Affiliation: | 1. Harvard School of Public Health, Boston, Massachusetts;2. Department of Psychiatry, Washington University School of Medicine, Saint Louis, Missouri;3. School of Medicine, University of Maryland, Baltimore, Maryland;4. Johns Hopkins University School of Medicine, Baltimore, Maryland;5. Bloomberg School of Public Health, Johns Hopkins University, Baltimore, Maryland;6. Collaborative Health Studies Coordinating Center, University of Washington, Seattle, Washington;7. Human Genetics Center, University of Texas Health Science Center at Houston, Houston, Texas;8. Center for Inherited Disease Research, Johns Hopkins University School of Medicine, Baltimore, Maryland;9. Department of Epidemiology Research, Statens Serum Institut, Copenhagen, Denmark;10. Department of Human Genetics, University of Pittsburgh, Pittsburgh, Pennsylvania;11. Institute of Molecular Medicine, University of Texas, Houston, Texas;12. Keck School of Medicine, University of South California, Los Angeles, California;13. National Institute of Dental and Craniofacial Research, US National Institutes of Health (NIH), Bethesda, Maryland;14. Feinberg School of Medicine, Northwestern University, Chicago, Illinois;15. Division of Hematology, Mayo Clinic, Rochester, Minnesota;16. Harvard Medical School, Boston, Massachusetts;17. National Human Genome Research Institute, NIH, Bethesda, Maryland;18. Department of Oral Biology, University of Pittsburgh, Pittsburgh, Pennsylvania;19. Broad Institute of MIT and Harvard, Boston, Massachusetts;20. National Center for Biotechnology Information, NIH, Bethesda, Maryland;21. National Cancer Institute, NIH, Bethesda, Maryland |
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| Abstract: | ![]()
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. |
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| Keywords: | genome‐wide association complex disease quantitative traits gene‐environment interaction phenotype harmonization |
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