Multi-ancestry polygenic risk scores for the prediction of type 2 diabetes and complications in diverse ancestries
Alicia Huerta‐Chagoya; Joohyun Kim; Ravi Mandla; Yingchang Lu; Suzuki Ken; Lauren E. Petty; Hong Kiat Ng; Jaewon Choi · 2026 · The Lancet Diabetes & Endocrinology
WASTE classifies this as Negative / Null Result Report · AI classification, approximate
The study found no significant effect — useful as a negative control or null benchmark for your own design.
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…
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Metadata source: OpenAlex · DOI 10.1016/s2213-8587(25)00405-x