Type 2 diabetes mellitus (T2D) affects approximately 21 million individuals in the U.S., or almost 10% of the U.S. adult population. Because diabetes is determined by both genetic and environmental factors, a better understanding of the etiology of diabetes requires a careful investigation of gene-environment interactions. The Nurses? Health Study (NHS) and Health Professionals? Follow-up Study (HPFS) are well-characterized cohort studies of women and men for whom stored blood and DNA samples are available as well as detailed information on dietary and lifestyle variables. Using these unparalleled resources, our group has established an excellent track record of documenting important dietary, lifestyle, biochemical, and genetic risk factors for T2D. Thus, we are well-positioned to respond to the RFA ?Genome-wide association studies in the genes and environment initiative ? Study Investigators (U01)? (RFA-HG-06-033).
The specific aims of this application include: 1. To conduct a GWA study among 3,000 cases of T2D and 3,000 healthy controls in NHS/HPFS cohorts. 2. To use information on the joint effects of genes and a list of carefully selected environmental exposures at the initial screening stage to test gene-environment interactions. This approach optimizes our power to detect variants that have a sizeable marginal effect and those with a small marginal effect but a sizeable effect in a stratum defined by an environmental exposure. To achieve this aim, we have developed a joint test of genetic marginal effect and gene-environment interaction. This flexible two-degree-of-freedom test generally provides greater power than standard methods and has the potential to uncover both marginal genetic effects and stratum-specific effects. To meet the data sharing requirement of the RFA, we plan to submit relevant dietary and lifestyle data to the National Center for Biotechnology Information (NCBI) on members of the nested case-control studies in the NHS/HPFS. One of the main strengths is the availability of comprehensive, validated environmental exposures in large well-characterized cohort studies for which stored blood and DNA samples are available. We believe that the unprecedented resources generated from this project will be extremely beneficial to the research community.

Agency
National Institute of Health (NIH)
Institute
National Human Genome Research Institute (NHGRI)
Type
Research Project--Cooperative Agreements (U01)
Project #
1U01HG004399-01
Application #
7325243
Study Section
Special Emphasis Panel (ZHG1-HGR-P (M1))
Program Officer
Wise, Anastasia Leigh
Project Start
2007-08-06
Project End
2009-05-31
Budget Start
2007-08-06
Budget End
2008-05-31
Support Year
1
Fiscal Year
2007
Total Cost
$622,611
Indirect Cost
Name
Harvard University
Department
Nutrition
Type
Schools of Public Health
DUNS #
149617367
City
Boston
State
MA
Country
United States
Zip Code
02115
Bhagwandin, Candida; Ashbeck, Erin L; Whalen, Michael et al. (2018) The E3 ubiquitin ligase MARCH1 regulates glucose-tolerance and lipid storage in a sex-specific manner. PLoS One 13:e0204898
Scott, Robert A; Scott, Laura J; Mägi, Reedik et al. (2017) An Expanded Genome-Wide Association Study of Type 2 Diabetes in Europeans. Diabetes 66:2888-2902
Ren, Jie; He, Tao; Li, Ye et al. (2017) Network-based regularization for high dimensional SNP data in the case-control study of Type 2 diabetes. BMC Genet 18:44
Pirastu, Nicola; Joshi, Peter K; de Vries, Paul S et al. (2017) GWAS for male-pattern baldness identifies 71 susceptibility loci explaining 38% of the risk. Nat Commun 8:1584
Kilpeläinen, Tuomas O; Carli, Jayne F Martin; Skowronski, Alicja A et al. (2016) Genome-wide meta-analysis uncovers novel loci influencing circulating leptin levels. Nat Commun 7:10494
Ibrahim-Verbaas, C A; Bressler, J; Debette, S et al. (2016) GWAS for executive function and processing speed suggests involvement of the CADM2 gene. Mol Psychiatry 21:189-197
Cornelis, Marilyn C; Flint, Alan; Field, Alison E et al. (2016) A genome-wide investigation of food addiction. Obesity (Silver Spring) 24:1336-41
Pattaro, Cristian (see original citation for additional authors) (2016) Genetic associations at 53 loci highlight cell types and biological pathways relevant for kidney function. Nat Commun 7:10023
Nettleton, Jennifer A; Follis, Jack L; Ngwa, Julius S et al. (2015) Gene × dietary pattern interactions in obesity: analysis of up to 68 317 adults of European ancestry. Hum Mol Genet 24:4728-38
Cornelis, Marilyn C; Zaitlen, Noah; Hu, Frank B et al. (2015) Genetic and environmental components of family history in type 2 diabetes. Hum Genet 134:259-67

Showing the most recent 10 out of 73 publications