Skip to main page content
U.S. flag

An official website of the United States government

Dot gov

The .gov means it’s official.
Federal government websites often end in .gov or .mil. Before sharing sensitive information, make sure you’re on a federal government site.

Https

The site is secure.
The https:// ensures that you are connecting to the official website and that any information you provide is encrypted and transmitted securely.

Access keys NCBI Homepage MyNCBI Homepage Main Content Main Navigation
Meta-Analysis
. 2014 Aug 7;10(8):e1004517.
doi: 10.1371/journal.pgen.1004517. eCollection 2014 Aug.

Meta-analysis of genome-wide association studies in African Americans provides insights into the genetic architecture of type 2 diabetes

Maggie C Y Ng  1 Daniel Shriner  2 Brian H Chen  3 Jiang Li  4 Wei-Min Chen  5 Xiuqing Guo  6 Jiankang Liu  7 Suzette J Bielinski  8 Lisa R Yanek  9 Michael A Nalls  10 Mary E Comeau  11 Laura J Rasmussen-Torvik  12 Richard A Jensen  13 Daniel S Evans  14 Yan V Sun  15 Ping An  16 Sanjay R Patel  17 Yingchang Lu  18 Jirong Long  19 Loren L Armstrong  20 Lynne Wagenknecht  21 Lingyao Yang  22 Beverly M Snively  22 Nicholette D Palmer  23 Poorva Mudgal  4 Carl D Langefeld  11 Keith L Keene  24 Barry I Freedman  25 Josyf C Mychaleckyj  5 Uma Nayak  5 Leslie J Raffel  26 Mark O Goodarzi  26 Y-D Ida Chen  6 Herman A Taylor Jr  27 Adolfo Correa  7 Mario Sims  7 David Couper  28 James S Pankow  29 Eric Boerwinkle  30 Adebowale Adeyemo  2 Ayo Doumatey  2 Guanjie Chen  2 Rasika A Mathias  31 Dhananjay Vaidya  32 Andrew B Singleton  10 Alan B Zonderman  33 Robert P Igo Jr  34 John R Sedor  35 FIND ConsortiumEdmond K Kabagambe  36 David S Siscovick  37 Barbara McKnight  38 Kenneth Rice  38 Yongmei Liu  39 Wen-Chi Hsueh  40 Wei Zhao  41 Lawrence F Bielak  41 Aldi Kraja  16 Michael A Province  16 Erwin P Bottinger  42 Omri Gottesman  42 Qiuyin Cai  19 Wei Zheng  19 William J Blot  43 William L Lowe  20 Jennifer A Pacheco  44 Dana C Crawford  45 eMERGE ConsortiumDIAGRAM ConsortiumElin Grundberg  46 MuTHER ConsortiumStephen S Rich  47 M Geoffrey Hayes  20 Xiao-Ou Shu  19 Ruth J F Loos  48 Ingrid B Borecki  16 Patricia A Peyser  41 Steven R Cummings  14 Bruce M Psaty  49 Myriam Fornage  30 Sudha K Iyengar  34 Michele K Evans  50 Diane M Becker  51 W H Linda Kao  52 James G Wilson  53 Jerome I Rotter  6 Michèle M Sale  54 Simin Liu  55 Charles N Rotimi  2 Donald W Bowden  23 MEta-analysis of type 2 DIabetes in African Americans Consortium
Collaborators, Affiliations
Meta-Analysis

Meta-analysis of genome-wide association studies in African Americans provides insights into the genetic architecture of type 2 diabetes

Maggie C Y Ng et al. PLoS Genet. .

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.

PubMed Disclaimer

Conflict of interest statement

The authors have declared that no competing interests exist.

Figures

Figure 1
Figure 1. Association results of stage 1 meta-analysis in African Americans in a model adjusted for age, sex, study sites and study-specific principle components.
(A) Manhattan plot. Previously identified loci are denoted in red. Novel loci identified in this study are denoted in blue. (B) Quantile-quantile plot. The observed P values (y axis) were compared with the expected P values under the null distribution (x axis).
Figure 2
Figure 2. Regional plots of five previously and newly identified T2D loci in African Americans.
Association P values (on a −log10 scale) of genotyped and imputed SNPs from stage 1 meta-analysis are plotted as a function of genomic position (NCBI Build 36). Plots for HLA-B, TCF7L2, KCNQ1, and HMGA2 used the model without BMI adjustment whereas plots for INS-IGF2 used the model with BMI adjustment. In each panel, the most strongly associated SNP from stage 1 and stage 1+2a+2b meta-analysis is denoted by a purple circle and a purple diamond, respectively. The color of all other SNPs indicates LD with the most strongly associated SNP based on the HapMap 2 YRI data. At KCNQ1, two independent signals are shown.

References

    1. Centers for Disease Control and Prevention (2011) National diabetes fact sheet: National estimates and general information on diabetes and prediabetes in the United States. Atlanta, GA: U.S. Department of Health and Human Services, Centers for Disease Control and Prevention.
    1. McCarthy MI (2010) Genomics, type 2 diabetes, and obesity. N Engl J Med 363: 2339–2350. - PubMed
    1. Voight BF, Scott LJ, Steinthorsdottir V, Morris AP, Dina C, et al. (2010) Twelve type 2 diabetes susceptibility loci identified through large-scale association analysis. Nat Genet 42: 579–589. - PMC - PubMed
    1. Kooner JS, Saleheen D, Sim X, Sehmi J, Zhang W, et al. (2011) Genome-wide association study in individuals of South Asian ancestry identifies six new type 2 diabetes susceptibility loci. Nat Genet 984–989. - PMC - PubMed
    1. Cho YS, Chen CH, Hu C, Long J, Hee Ong RT, et al. (2011) Meta-analysis of genome-wide association studies identifies eight new loci for type 2 diabetes in East Asians. Nat Genet 44: 67–72. - PMC - PubMed

Publication types

MeSH terms

Grants and funding