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

Anubha Mahajan, Min Jin Go, Weihua Zhang, Jennifer E. Below, Kyle J. Gaulton, Teresa Ferreira, Momoko Horikoshi, Andrew D. Johnson, Maggie C. Y. Ng, Inga Prokopenko, Danish Saleheen, Xu Wang, Eleftheria Zeggini, Goncalo R. Abecasis, Linda S. Adair, Peter Almgren, Mustafa Atalay, Tin Aung, Damiano Baldassarre, Beverley BalkauYuqian Bao, Anthony H. Barnett, Ines Barroso, Abdul Basit, Latonya F. Been, John Beilby, Graeme I. Bell, Rafn Benediktsson, Richard N. Bergman, Bernhard O. Boehm, Eric Boerwinkle, Lori L. Bonnycastle, Noel Burtt, Qiuyin Cai, Harry Campbell, Jason Carey, Stephane Cauchi, Mark Caulfield, Juliana C. N. Chan, Li-Ching Chang, Tien-Jyun Chang, Yi-Cheng Chang, Guillaume Charpentier, Chien-Hsiun Chen, Han Chen, Yuan-Tsong Chen, Kee-Seng Chia, Manickam Chidambaram, Elin Grundberg, Kerrin S. Small, DIAbet Genetics Replication & Meta, Asian Genetic Epidemiology Network, South Asian Type Diabet SAT2D Cons, Mexican Amer Type 2 Diabet MAT2D C, Type 2 Diabet Genetic Exploration

Research output: Contribution to journalArticlepeer-review

834 Citations (Scopus)

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.

Original languageEnglish
Pages (from-to)234-+
Number of pages13
JournalNature Genetics
Volume46
Issue number3
DOIs
Publication statusPublished - Mar 2014

Keywords

  • SCALE ASSOCIATION ANALYSIS
  • TRANSETHNIC METAANALYSIS
  • GLUCOSE-HOMEOSTASIS
  • LOCI
  • VARIANTS
  • POPULATIONS
  • MAP
  • INDIVIDUALS
  • IMPUTATION
  • CHROMATIN

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