Genome-wide trans-ancestry meta-analysis provides insight into the genetic architecture of type 2 diabetes susceptibility
Author(s)
Type
Journal Article
Abstract
To further understanding of the genetic basis of type 2 diabetes (T2D) susceptibility, we aggregated published meta-analyses of genome-wide association studies (GWAS), including 26,488 cases and 83,964 controls of European, east Asian, south Asian and Mexican and Mexican American ancestry. We observed a significant excess in the directional consistency of T2D risk alleles across ancestry groups, even at SNPs demonstrating only weak evidence of association. By following up the strongest signals of association from the trans-ethnic meta-analysis in an additional 21,491 cases and 55,647 controls of European ancestry, we identified seven new T2D susceptibility loci. Furthermore, we observed considerable improvements in the fine-mapping resolution of common variant association signals at several T2D susceptibility loci. These observations highlight the benefits of trans-ethnic GWAS for the discovery and characterization of complex trait loci and emphasize an exciting opportunity to extend insight into the genetic architecture and pathogenesis of human diseases across populations of diverse ancestry.
Date Issued
2014-03-01
Date Acceptance
2014-01-17
Citation
Nature Genetics, 2014, 46 (3), pp.234-244
ISSN
1061-4036
Publisher
Nature Research
Start Page
234
End Page
244
Journal / Book Title
Nature Genetics
Volume
46
Issue
3
Copyright Statement
© 2014 Nature America, Inc. All rights reserved.
Sponsor
Medical Research Council (MRC)
Medical Research Council (MRC)
National Institute for Health Research
Identifier
http://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000332036700007&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=1ba7043ffcc86c417c072aa74d649202
Grant Number
G0801056
G1002084
NF-SI-0611-10136
Subjects
Science & Technology
Life Sciences & Biomedicine
Genetics & Heredity
ASSOCIATION ANALYSES
GLUCOSE-HOMEOSTASIS
LOCI
VARIANTS
INDIVIDUALS
CHROMATIN
IDENTIFY
Publication Status
Published
Date Publish Online
2014-02-09
