Multi-ancestry genetic study of type 2 diabetes highlights the power of diverse populations for discovery and translation
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- Multi-ancestry genetic study of type 2 diabetes highlights the power of diverse populations for discovery and translation
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We assembled an ancestrally diverse collection of genome-wide association studies (GWAS) of type 2 diabetes (T2D) in 180,834 affected individuals and 1,159,055 controls (48.9% non-European descent) through the Diabetes Meta-Analysis of Trans-Ethnic association studies (DIAMANTE) Consortium. Multi-ancestry GWAS meta-analysis identified 237 loci attaining stringent genome-wide significance (P < 5 × 10-9), which were delineated to 338 distinct association signals. Fine-mapping of these signals was enhanced by the increased sample size and expanded population diversity of the multi-ancestry meta-analysis, which localized 54.4% of T2D associations to a single variant with >50% posterior probability. This improved fine-mapping enabled systematic assessment of candidate causal genes and molecular mechanisms through which T2D associations are mediated, laying the foundations for functional investigations. Multi-ancestry genetic risk scores enhanced transferability of T2D prediction across diverse populations. Our study provides a step toward more effective clinical translation of T2D GWAS to improve global health for all, irrespective of genetic background.
Originalsprog | Engelsk |
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Tidsskrift | Nature Genetics |
Vol/bind | 54 |
Udgave nummer | 5 |
Sider (fra-til) | 560-572 |
Antal sider | 13 |
ISSN | 1061-4036 |
DOI | |
Status | Udgivet - 2022 |
Bibliografisk note
© 2022. The Author(s), under exclusive licence to Springer Nature America, Inc.
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