Multi-ancestry polygenic risk scores for the prediction of type 2 diabetes and complications in diverse ancestries.

ABSTRACT:

Background

Polygenic risk scores (PRSs) improve type 2 diabetes (T2D) prediction beyond clinical risk factors but perform poorly in non-European populations, where T2D burden is often higher, undermining their global clinical utility.

Methods

We conducted the largest global effort to date to harmonize T2D genome-wide association study (GWAS) meta-analyses across five ancestries-European (EUR), African/African American (AFR), Admixed American (AMR), South Asian (SAS), and East Asian (EAS)-including 360,000 T2D cases and 1·8 million controls (41% non-EUR). We constructed ancestry-specific and multi-ancestry PRSs in training datasets including 11,000 T2D cases and 32,000 controls, and validated their performance in independent datasets including 39,000 T2D cases and 126,000 con

SUBMITTER: Huerta-Chagoya A 

PROVIDER: S-EPMC12330429 | biostudies-literature | 2025 Jul

REPOSITORIES: biostudies-literature