Common Genetic Variation and Quantitative Diabetes Traits

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DESCRIPTION (provided by applicant): The goal of this R01DK78616 renewal is to identify new type 2 diabetes (T2D) quantitative trait (QT) loci in a large trans-four-ethnic sample (N~103,000: ~26K African American, ~46K European, ~14K Hispanic and ~17K Asian) using staged genome-wide association studies with meta-analysis (GWAS-MA). In the trans- ethnic sample we will further test gene-environment and gene-gene interactions and gene pathways, and in longitudinal data, test candidate loci for physiological effects and for T2D prediction. Our links with other NIDDK studies offer immediate follow-up for next-generation sequencing (U01 DK085526) and trials of clinical application of genetics for T2D prevention (R21 DK084527). The significant recent, dramatic increase in T2D in the U.S., especially in minority groups, is an escalating clinical and public health challenge. Variation in genetic background coupled with increasing obesity accounts for rising T2D in the U.S.. In people of European ancestry, large-scale GWAS-MA have successfully outlined T2D common genetic architecture, with consortia studies led by our group and our collaborators recently contributing >50 new T2D risk or T2D QT loci. Large trans-ethnic GWAS-MA is a key next step in T2D gene discovery. Specific Aims are to: 1) Identify novel T2D QT-associated variants using GWAS-MA in large, non-diabetic, trans-ethnic samples. We hypothesize that: a) staged GWAS-MA of T2D QTs in a large non-diabetic African American sample will identify novel loci associated with T2D physiology and T2D risk and b) joining the African American T2D QT GWAS-MA with three other groups for a large trans-four-ethnic T2D QT GWAS-MA will identify additional loci; 2) Use the large trans-ethnic sample to find more loci, fine map, and suggest mechanism by tests of gene-environment, gene-gene and gene pathway analyses, specifically, accounting for SNP x BMI, weight change, ethnicity and other interactors; and 3) Use longitudinal population-based data to iluminate the evolution of T2D physiology over time, define the allelic spectrum of risk in U.S. ethnic groups, and test if novel T2D-related variants aid T2D risk prediction. The trans-four-ethnic GWAS-MA will provide an unparalleled resource for genetic discovery, studies of interactions and pathways hypothesized to underlie T2D and its related QTs, and help better define the value of T2D genetics for physiological targeting, population prediction and personalized prevention to improve health in minority and non-minority groups the U.S..