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Genome-wide trans-ancestry meta-analysis provides insight into the genetic architecture of type 2 diabetes susceptibility

Mahajan, Anubha ; Go, Min Jin ; Zhang, Weihua ; Below, Jennifer E. ; Gaulton, Kyle J. ; Ferreira, Teresa ; Horikoshi, Momoko ; Johnson, Andrew D. ; Ng, Maggie C. Y. and Prokopenko, Inga , et al. (2014) In Nature Genetics 46(3). p.234-234
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... (More)
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. (Less)
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organization
publishing date
type
Contribution to journal
publication status
published
subject
in
Nature Genetics
volume
46
issue
3
pages
234 - 234
publisher
Nature Publishing Group
external identifiers
  • wos:000332036700007
  • scopus:84895868553
  • pmid:24509480
ISSN
1546-1718
DOI
10.1038/ng.2897
language
English
LU publication?
yes
additional info
The information about affiliations in this record was updated in December 2015. The record was previously connected to the following departments: Diabetes and Endocrinology (013241530), Pediatrics/Urology/Gynecology/Endocrinology (013240400), Hypertension and Cardiovascular Disease (013242540), Internal Medicine Research Unit (013242520)
id
41a41c88-ecba-4a16-a68e-45aaef2ac8cb (old id 4363738)
date added to LUP
2016-04-01 14:20:43
date last changed
2024-05-09 19:08:21
@article{41a41c88-ecba-4a16-a68e-45aaef2ac8cb,
  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.}},
  author       = {{Mahajan, Anubha and Go, Min Jin and Zhang, Weihua and Below, Jennifer E. and Gaulton, Kyle J. and Ferreira, Teresa and Horikoshi, Momoko and Johnson, Andrew D. and Ng, Maggie C. Y. and Prokopenko, Inga and Saleheen, Danish and Wang, Xu and Zeggini, Eleftheria and Abecasis, Goncalo R. and Adair, Linda S. and Almgren, Peter and Atalay, Mustafa and Aung, Tin and Baldassarre, Damiano and Balkau, Beverley and Bao, Yuqian and Barnett, Anthony H. and Barroso, Ines and Basit, Abdul and Been, Latonya F. and Beilby, John and Bell, Graeme I. and Benediktsson, Rafn and Bergman, Richard N. and Boehm, Bernhard O. and Boerwinkle, Eric and Bonnycastle, Lori L. and Burtt, Noel and Cai, Qiuyin and Campbell, Harry and Carey, Jason and Cauchi, Stephane and Caulfield, Mark and Chan, Juliana C. N. and Chang, Li-Ching and Chang, Tien-Jyun and Chang, Yi-Cheng and Charpentier, Guillaume and Chen, Chien-Hsiun and Chen, Han and Chen, Yuan-Tsong and Chia, Kee-Seng and Chidambaram, Manickam and Chines, Peter S. and Cho, Nam H. and Cho, Young Min and Chuang, Lee-Ming and Collins, Francis S. and Cornelis, Marilyn C. and Couper, David J. and Crenshaw, Andrew T. and van Dam, Rob M. and Danesh, John and Das, Debashish and de Faire, Ulf and Dedoussis, George and Deloukas, Panos and Dimas, Antigone S. and Dina, Christian and Doney, Alex S. 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  issn         = {{1546-1718}},
  language     = {{eng}},
  number       = {{3}},
  pages        = {{234--234}},
  publisher    = {{Nature Publishing Group}},
  series       = {{Nature Genetics}},
  title        = {{Genome-wide trans-ancestry meta-analysis provides insight into the genetic architecture of type 2 diabetes susceptibility}},
  url          = {{http://dx.doi.org/10.1038/ng.2897}},
  doi          = {{10.1038/ng.2897}},
  volume       = {{46}},
  year         = {{2014}},
}