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

doi:10.1016/S2213-8587(25)00405-X

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

The lancet. Diabetes & endocrinology - 1 Jul 2026

Huerta-Chagoya Alicia, Kim Joohyun, Mandla Ravi, Lu Yingchang, Suzuki Ken, Petty Lauren E, Ng Hong Kiat, Choi Jaewon, Lee Simon, Rout Madhusmita, Lin Kuang, Taylor Katherine, Aguilar-Salinas Carlos A, García-García Lourdes, González-Villalpando Clicerio, Haiman Christopher A, Kim Young Jin, Kwak Soo Heon, Leong Aaron, Loos Ruth J F, Moreno-Estrada Andres, Morris Andrew P, Orozco Lorena, Rotter Jerome I, Sanghera Dharambir, Tusie-Luna Teresa, Voight Benjamin F, Vujkovic Marijana, Walters Robin G, Ge Tian, Manning Alisa K, Loh Marie, Below Jennifer E, Sim Xueling, Mercader Josep M, Ng Maggie C Y

Abstract excerpt

BACKGROUND: Polygenic risk scores (PRSs) improve prediction of the development of type 2 diabetes over the use of clinical risk factors alone; however, they perform poorly in populations of non-European ancestry, limiting their global clinical utility. We aimed to deliver comprehensive and rigorously tested multi-ancestry PRSs for prediction in type 2 diabetes. METHODS: We conducted meta-analyses using data from...

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PMID: 42061389
DOI: 10.1016/S2213-8587(25)00405-X
PMCID: PMC13290298

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