Genome-wide trans-ancestry meta-analysis provides insight into the genetic architecture of type 2 diabetes susceptibility
Article
Article Title | Genome-wide trans-ancestry meta-analysis provides insight into the genetic architecture of type 2 diabetes susceptibility |
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ERA Journal ID | 16629 |
Article Category | Article |
Authors | Diagram, Consortium (Author), AGEN-T2D, Consortium (Author), SAT2D, Consortium (Author), MAT2D, Consortium (Author), T2D-GENES, Consortium (Author) and Pinidiyapathirage, Janani M. (Author) |
Journal Title | Nature Genetics |
Journal Citation | 46 (3), pp. 234-244 |
Number of Pages | 10 |
Year | 2014 |
Place of Publication | United States |
ISSN | 1061-4036 |
1546-1718 | |
Digital Object Identifier (DOI) | https://doi.org/10.1038/ng.2897 |
Web Address (URL) | https://www.nature.com/articles/ng.2897 |
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 significant excess in 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 novel T2D susceptibility loci. Furthermore, we observed considerable improvements in 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 characterisation 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. |
Keywords | Type 2 diabetes, Genome-wide,high density lipoprotein cholesterol; triacylglycerol |
Contains Sensitive Content | Does not contain sensitive content |
ANZSRC Field of Research 2020 | 310505. Gene expression (incl. microarray and other genome-wide approaches) |
Public Notes | Files associated with this item cannot be displayed due to copyright restrictions. |
Byline Affiliations | Multiple International Universities |
Asian Genetic Epidemiology Network, China | |
SAT2D Consortium | |
IMSS General Regional Hospital 1, Mexico | |
T2D Genes Consortium, United States | |
University of Kelaniya, Sri Lanka | |
Institution of Origin | University of Southern Queensland |
https://research.usq.edu.au/item/q35yz/genome-wide-trans-ancestry-meta-analysis-provides-insight-into-the-genetic-architecture-of-type-2-diabetes-susceptibility
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