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Article

Leveraging fine-mapping and multipopulation training data to improve cross-population polygenic risk scores.

Nature genetics - 1 Apr 2022

Weissbrod Omer, Kanai Masahiro, Shi Huwenbo, Gazal Steven, Peyrot Wouter J, Khera Amit V, Okada Yukinori, Martin Alicia R, Finucane Hilary K, Price Alkes L

Abstract excerpt

Polygenic risk scores suffer reduced accuracy in non-European populations, exacerbating health disparities. We propose PolyPred, a method that improves cross-population polygenic risk scores by combining two predictors: a new predictor that leverages functionally informed fine-mapping to estimate causal effects (instead of tagging effects), addressing linkage disequilibrium differences, and BOLT-LMM, a published...

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Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

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Identifiers

PMID: 35393596
DOI: 10.1038/s41588-022-01036-9
PMCID: PMC9009299

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