Meta-Analysis of Genome-Wide Association Studies in African Americans Provides Insights into the Genetic Architecture of Type 2 Diabetes

• Type of Material: Article
• Authors: Maggie C. Y. Ng, Wake Forest School of Medicine; Daniel Shriner, National Human Genome Research Institute; Brian H. Chen, University of California Los Angeles; Jiang Li, Wake Forest School of Medicine; Wei-Min Chen, University of Virginia; Xiuqing Guo, Harbor-UCLA Medical Center; Jiankang Liu, University of Mississippi; Suzette J. Bielinski, Mayo Clinic; Lisa R. Yanek, Johns Hopkins University; Michael A. Nalls, National Institute on Aging; Mary E Comeau, Wake Forest School of Medicine; Laura J. Rasmussen-Torvik, Northwestern University; Richard A. Jensen, University of Washington; Daniel S. Evans, California Pacific Medical Center Research Institute; Yan Sun, Emory University; Ping An, Washington University School of Medicine; Sanjay R. Patel, Brigham and Women's Hospital; Yingchang Lu, Icahn School of Medicine at Mount Sinai; Jirong Long, Vanderbilt University; Loren L. Armstrong, Northwestern University; Lynne Wagenknecht, Wake Forest School of Medicine; Lingyao Yang, Wake Forest School of Medicine; Beverly M. Snively, Wake Forest School of Medicine
• Language: English
• Date: 2014-08-01
• Publisher: Public Library of Science
• Publication Version: Final Published Version
• Copyright Statement: This is an open-access article distributed under the terms of the Creative Commons Public Domain declaration, which stipulates that, once placed in the public domain, this work may be freely reproduced, distributed, transmitted, modified, built upon, or otherwise used by anyone for any lawful purpose.
• License: Creative Commons Creative Commons CC0 1.0 Universal
• Final Published Version (URL): http://dx.doi.org/10.1371/journal.pgen.1004517
• Title of Journal or Parent Work: PLoS Genetics
• ISSN: 1553-7390
• Volume: 10
• Issue: 8
• Start Page: e1004517
• End Page: e1004517
• Grant/Funding Information: See publication for full funding statement.
• Keywords: EFFICIENT; TRANSGENIC MICE; Science & Technology; HLA-B; HAPLOTYPES; RISK; Genetics & Heredity; OBESITY; CONFIRMATION; EXPRESSION; POPULATION; Life Sciences & Biomedicine; SUSCEPTIBILITY LOCI
• Research Categories: Health Sciences, Medicine and Surgery; Biology, Genetics; Health Sciences, Epidemiology

Abstract

Type 2 diabetes (T2D) is more prevalent in African Americans than in Europeans. However, little is known about the genetic risk in African Americans despite the recent identification of more than 70 T2D loci primarily by genome-wide association studies (GWAS) in individuals of European ancestry. In order to investigate the genetic architecture of T2D in African Americans, the MEta-analysis of type 2 DIabetes in African Americans (MEDIA) Consortium examined 17 GWAS on T2D comprising 8,284 cases and 15,543 controls in African Americans in stage 1 analysis. Single nucleotide polymorphisms (SNPs) association analysis was conducted in each study under the additive model after adjustment for age, sex, study site, and principal components. Meta-analysis of approximately 2.6 million genotyped and imputed SNPs in all studies was conducted using an inverse variance-weighted fixed effect model. Replications were performed to follow up 21 loci in up to 6,061 cases and 5,483 controls in African Americans, and 8,130 cases and 38,987 controls of European ancestry. We identified three known loci (TCF7L2, HMGA2 and KCNQ1) and two novel loci (HLA-B and INS-IGF2) at genome-wide significance (4.15×10−94<P<5×10−8, odds ratio (OR) = 1.09 to 1.36). Fine-mapping revealed that 88 of 158 previously identified T2D or glucose homeostasis loci demonstrated nominal to highly significant association (2.2×10−23 < locus-wide P<0.05). These novel and previously identified loci yielded a sibling relative risk of 1.19, explaining 17.5% of the phenotypic variance of T2D on the liability scale in African Americans. Overall, this study identified two novel susceptibility loci for T2D in African Americans. A substantial number of previously reported loci are transferable to African Americans after accounting for linkage disequilibrium, enabling fine mapping of causal variants in trans-ethnic meta-analysis studies.