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Decomposing population differences in type 2 diabetes through a high-resolution GWAS of ~600,000 individuals with East Asian ancestry.
Communications Biology · · Journal Article · Open access
Saito, Lu + more
Abstract ↗AI summary
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A high-resolution GWAS of nearly 600,000 East Asians identified 196 loci for T2D, including three novel loci, with 74% shared causal signals across populations.
- Why it matters: Understanding genetic risk distribution for T2D across different populations is crucial because of its higher prevalence in East Asians and the limitations of previous studies focused mainly on Europeans.
- What they did: The study conducted the largest GWAS in East Asians with a direct comparison to Europeans, performing multi-ancestry fine-mapping to resolve 521 causal signals and analyze population-specific pathways.
- The result: Findings show population differences in regulatory and pathway contributions, especially involving pancreatic, lipid, and adipose pathways, and demonstrate that cross-ancestry risk scores improve prediction accuracy.
The findingWhy it mattersWhat they didThe result
- Open access