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All of Us diversity and scale improve polygenic prediction contextually with greatest improvements for under-represented populations

2024-08-06

Abstract excerpt

Recent studies have demonstrated that polygenic risk scores (PRS) trained on multi-ancestry data can improve prediction accuracy in groups historically underrepresented in genomic studies, but the availability of linked health and genetic data from large-scale diverse cohorts representative of a wide spectrum of human diversity remains limited. To address this need, the All of Us research program (AoU) generated w...

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Literature Corpus work
43b9bc38-4d29-5fb8-b1fe-a47223f669b9
DOI
10.1101/2024.08.06.606846
Open publication

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All of Us diversity and scale improve polygenic prediction contextually with greatest improvements for under-represented populationsDOI 10.1101/2024.08.06.606846
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