The study demonstrates improved T2D prediction accuracy using multi-ancestry polygenic risk scores, suggesting enhanced clinical utility for diverse ancestries.
Key Points
Multi-ancestry polygenic risk scores significantly improved type 2 diabetes prediction across five diverse ancestries.
Individuals at the 97.5th percentile of polygenic risk scores had a 6-fold increased risk of type 2 diabetes in certain ancestry groups.
An extensive dataset, including 360,000 T2D cases, was utilized for constructing and validating the polygenic risk scores.
These polygenic risk scores also predicted microvascular complications more accurately than previously reported scores.
Cite This Study
Huerta‐Chagoya et al. (2025) studied this question.