The Genes, Environment and Health Initiative (GEI) is a National Institutes of Health (NIH)-wide initiative that aims to accelerate understanding of genetic and environmental contributions to health and disease. There are two components to GEI: genetics and exposure biology. The genetics component currently consists of eight programs including the Gene Environment Association Studies (GENEVA) consortium. GENEVA 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 (dbGaP). GENEVA is led by NHGRI, and consists of multiple academic institutions, including a coordinating center, two genotyping centers and 16 studies of various phenotypes, as well as several Institutes and Centers of the NIH. GENEVA was funded in two rounds: the first round of GENEVA was funded in 2007 in response to RFA-HG-06-033 and the second in 2008 in response to RFA-HG-07-012. In 2009, existing GWAS studies joined the GENEVA consortium to take advantage of the consortium expertise and participate in the collaborative aspect of the network.
The coordinating center for GENEVA is headed by Bruce Weir of the University of Washington. The Coordinating Center assists with genotypic data cleaning and analysis, phenotype data organization and coordination of the logistics and administration of the study. The Coordinating Center serves as an internal data repository for GENEVA and also assists in phenotypic data harmonization across multiple studies.
|Principal Investigator (PI)||Institution||Title||Sample Size||Study Population Description|
|Chris Amos, Ph.D.||University of Texas||High Density SNP Association Analysis of Melanoma||3,035||European Ancestry|
|Kathleen Barnes, Ph.D.||Johns Hopkins University||Genome-Wide Associations Environmental Interactions in the Lung Health Study||4,397||European Ancestry|
|Terri Beaty, Ph.D.||Johns Hopkins University||International Consortium to Identify Genes and Interactions Controlling Oral Clefts||7,089||European Ancestry, Asian/Pacific Islander, African Ancestry, Other|
|Laura Bierut, M.D.||Washington University||Study of Addiction: Genetics and Environment||4,121||European Ancestry, Asian/Pacific Islander, African Ancestry, Other|
|Eric Boerwinkle, Ph.D.||University of Texas||GWA for Gene-Environment Interaction Effects Influencing CHD||12,771||European and African Ancestry|
|Neil Caporaso, M.D.||National Cancer Institute||Population-based Lung Cancer Study||5,588||European Ancestry|
|Myriam Fornage, Ph..D||University of Texas||GWAS of longitudinal blood pressure profiles from young adulthood to middle-age||1,725||European Ancestry|
|David Ginsburg, M.D.||University of Michigan||Genes and Blood Clotting||1,115||European Ancestry, Asian Ancestry, Other|
|Christopher Haiman, Sc.D.||University of Southern California||A Multiethnic Genome-Wide Scan of Prostate Cancer||9,253||Asian Ancestry, African Ancestry, Hispanic/Latino|
|John Heit, M.D.||Mayo Clinic||GWAS of Venous Thrombosis||2,594||European Ancestry, Other|
|Frank Hu, M.D., Ph.D.||Harvard University||Genes and Environment Initiatives in Type 2 Diabetes||5,961||European Ancestry, African Ancestry, Asian Ancestry, Hispanic, Other|
|William Lowe, M.D.||Northwestern University||GWA Mapping: Maternal Metabolism-Birth Weight Interactions||6,513||African Ancestry, European Ancestry, Hispanic|
|Mary Marazita, Ph.D.||University of Pittsburgh||Dental Caries: Whole Genome Association and Gene x Environment Studies||4,020||European Ancestry, African Ancestry, Other|
|Braxton Mitchell, Ph.D.||University of Maryland||Genetic Risk to Stroke in Smokers and Nonsmokers in Two Ethnic Groups||1,818||European Ancestry, African Ancestry, Hispanic, Asian Ancestry, Other|
|Jeffrey Murray, M.D.||University of Iowa||Genome-wide association studies of prematurity and its complications||7,472||European Ancestry, African Ancestry|
|Louis Pasquale, M.D.||Harvard University||Genes and Environment Initiative in Glaucoma||2,188||European Ancestry, Other|
Center for Inherited Disease Research (CIDR) at Johns Hopkins University
PI: David Valle, M.D.
Co-PI: Kimberly F. Doheny, Ph.D.
Co-PI: Elizabeth Pugh, Ph.D.
Broad Institute of MIT and Harvard
PI: Stacey Gabriel, Ph.D.
Co-PI: Daniel Mirel, Ph.D.
National Human Genome Research Institute (NHGRI)
The GENEVA program officials at the NHGRI Office of Population Genomics facilitate the achievement of scientific goals and provide institutional oversight and guidance to the project.
National Center for Biotechnology Information (NCBI)
The data from each individual study will be deposited in the Database of Genotypes and Phenotypes (dbGaP), which is housed at NCBI.
Expert Scientific Panel and Steering Committee
The Expert Scientific Panel provides input to the NHGRI director about the progress and direction of the network.
The Steering Committee is responsible for the coordination of all activities conducted by the network.
Steering Committee Chair: Bill Lowe, Northwestern University
- Analysis Subcommittee
Chairs: Jun Li and Mariza de Andrade. Provide guidance on the analysis of GENEVA data, including cut-offs for significant associations and analysis methods for G x G and G x E interactions. The group will also identify common methods and strategies among each of the sixteen studies.
- Cross-Study Integration Subcommittee
Chairs: Myriam Fornage and Jeff Murray. Help bring the phenotype data together as well as harmonize and review the genotype data; discuss statistical methods; draft GENEVA-wide policies, including authorship guidelines and standardized methods and data-cleaning sections; form alliances with other NIH GWAS.
- Genotyping Subcommittee
Chairs: Eric Boerwinkle and Julie Cunningham. Advise the Steering Committee on issues related to genotyping data quality, data flow, dataset preparation and posting data on dbGaP.
- Phenotype Harmonization Subcommittee
Chairs: Neil Caporaso and Siiri Bennett. Identify phenotypes that are present across studies and encourage investigators to share data; identify, define and code key variables and covariates; be engaged in the broader data process with the Coordinating Center, including cleaning, validating and coding to create a usable end result; coordinate with other subcommittees on the use of harmonized phenotypic data.
Phenotype Working Groups
For each phenotype category of interest, the Phenotype Harmonization Subcommittee has convened a Working Group, led by an investigator from one of the studies, to identify and define specific variables to be shared in cross-study analyses.
- Alcohol use
- Caffeine use
- Oral health
- Physical activity and exercise
- Protective effects
- Reproductive history
- Tobacco use
GENEVA Website [genevastudy.org]
Last Updated: September 30, 2013