Type 2 diabetes (T2D) is a major cause of morbidity and mortality in the USA and worldwide. While disease prevalence varies with age, gender, and population, in 2007 an estimated 23.5 million Americans (10.7%) age 20 years or older and 12.2 million Americans (23.1%) age 60 years or older suffered from diabetes. Substantial evidence exists supporting a genetic component in the etiology of T2D and T2D-related quantitative traits (QTs). Our overall goal is to identify genetic variants that predispose to T2D and that are responsible for variability in T2D-related QTs. In the current proposal we seek to build on our recent successes, particularly identification of loci associated with T2D and selected QTs, by moving from locus to gene to determine the specific causal genes responsible for these association signals. Although some loci identified by genome-wide association (GWA) studies strongly suggest a nearby gene of likely diabetes relevance, numerous robustly replicated association signals do not contain obvious links to underlying genes or known T2D pathways. Furthermore, while currently funded deep resequencing and GWA studies of lower frequency variants will suggest many candidate causal T2D variants, functional studies are required to determine which variants have a biological effect. Specifically, we will test risk variants identified from deep T2D resequencing using follow-up association studies in >28,000 samples, determine the metabolic and functional consequences of T2D- and QT-associated rare potentially causal variants, and identify the most likely candidate causal genes and biological mechanisms at T2D- and QT-associated loci using gene knockdown and over expression studies. The proposed project combines outstanding resources of well- characterized samples with expertise in functional, genome, and statistical analysis. Successful identification of genes and variants underlying risk of T2D and related QTs has the potential to reduce the impact of the current T2D epidemic by supporting identification of novel treatments, enabling better targeting of preventive and therapeutic approaches, and providing more accurate T2D risk prediction.

Public Health Relevance

PROJECT NARRATIVE Type 2 diabetes is a leading cause of morbidity and mortality in both men and women worldwide. Type 2 diabetes and plasma concentrations of glucose have a strong inherited basis, and recent studies have revealed previously unsuspected genes associated with these traits. The proposed work will validate novel genes that influence diabetes, determine how DNA variants influence gene function, and may provide targets for new therapies.

National Institute of Health (NIH)
National Institute of Diabetes and Digestive and Kidney Diseases (NIDDK)
Research Project (R01)
Project #
Application #
Study Section
Genetics of Health and Disease Study Section (GHD)
Program Officer
Mckeon, Catherine T
Project Start
Project End
Budget Start
Budget End
Support Year
Fiscal Year
Total Cost
Indirect Cost
University of North Carolina Chapel Hill
Schools of Medicine
Chapel Hill
United States
Zip Code
Varshney, Arushi; Scott, Laura J; Welch, Ryan P et al. (2017) Genetic regulatory signatures underlying islet gene expression and type 2 diabetes. Proc Natl Acad Sci U S A 114:2301-2306
Civelek, Mete; Wu, Ying; Pan, Calvin et al. (2017) Genetic Regulation of Adipose Gene Expression and Cardio-Metabolic Traits. Am J Hum Genet 100:428-443
Wood, Andrew R; Jonsson, Anna; Jackson, Anne U et al. (2017) A Genome-Wide Association Study of IVGTT-Based Measures of First-Phase Insulin Secretion Refines the Underlying Physiology of Type 2 Diabetes Variants. Diabetes 66:2296-2309
Roman, Tamara S; Cannon, Maren E; Vadlamudi, Swarooparani et al. (2017) A Type 2 Diabetes-Associated Functional Regulatory Variant in a Pancreatic Islet Enhancer at the ADCY5 Locus. Diabetes 66:2521-2530
Kraja, Aldi T; Cook, James P; Warren, Helen R et al. (2017) New Blood Pressure-Associated Loci Identified in Meta-Analyses of 475?000 Individuals. Circ Cardiovasc Genet 10:
Justice, Anne E (see original citation for additional authors) (2017) Genome-wide meta-analysis of 241,258 adults accounting for smoking behaviour identifies novel loci for obesity traits. Nat Commun 8:14977
Sanders, A E; Jain, D; Sofer, T et al. (2017) GWAS Identifies New Loci for Painful Temporomandibular Disorder: Hispanic Community Health Study/Study of Latinos. J Dent Res 96:277-284
Scott, Robert A; Scott, Laura J; M├Ągi, Reedik et al. (2017) An Expanded Genome-Wide Association Study of Type 2 Diabetes in Europeans. Diabetes 66:2888-2902
Cannon, Maren E; Duan, Qing; Wu, Ying et al. (2017) Trans-ancestry Fine Mapping and Molecular Assays Identify Regulatory Variants at the ANGPTL8 HDL-C GWAS Locus. G3 (Bethesda) 7:3217-3227
McCarthy, Shane; Das, Sayantan; Kretzschmar, Warren et al. (2016) A reference panel of 64,976 haplotypes for genotype imputation. Nat Genet 48:1279-83

Showing the most recent 10 out of 100 publications