Humans

East Asian GWAS reveals shared and distinct diabetes pathways

In nearly 600,000 individuals, multi-ancestry fine-mapping resolved 521 causal signals for type 2 diabetes, with 74% shared between East Asian and European ancestries.

Fig. 1. Comparative analyses between GWASs in EAS and EUR revealed fine-scale genetic differences in T2D.
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Fig. 1. Comparative analyses between GWASs in EAS and EUR revealed fine-scale genetic differences in T2D.Comparative analyses between GWASs in EAS and EUR revealed fine-scale genetic differences in T2D.Saito et al.

Communications Biology

In a study of 596,778 individuals of East Asian ancestry, researchers evaluated the genetic architecture of type 2 diabetes and compared it directly to a European cohort of comparable size. The genome-wide association study identified 196 loci, including three previously unreported loci.

Subsequent multi-ancestry fine-mapping resolved 521 independent causal signals with high precision. The researchers found that 74% of these signals are shared across ancestries, while the remainder are strictly ancestry-specific. Beyond this shared genetic structure, the team observed population differences in regulatory and pathway-level contributions, particularly involving pancreatic regulation and lipid- or adipose-related pathways. Finally, a polygenic risk score constructed from cross-ancestry meta-analysis yielded the most robust predictive performance, achieving an area under the curve of 0.788.

Why it matters

Type 2 diabetes is a major driver of age-related metabolic dysfunction and chronic disease. Pinpointing both shared and ancestry-specific biological pathways helps explain how metabolic risk factors differ across diverse human populations.

Caveats

The findings are observational and derived specifically from East Asian and European cohorts, which limits direct generalization to other ancestral backgrounds. Functional experiments are still required to confirm the precise biological mechanisms of the mapped causal variants.

The paper

Decomposing population differences in type 2 diabetes through a high-resolution GWAS of ~600,000 individuals with East Asian ancestry