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Article

Polygenic scores capture genetic modification of the adiposity-cardiometabolic risk factor relationship

2025-04-10

Abstract excerpt

Optimal use of genetics for precision medicine requires polygenic scores (PGS) that predict not just risk of disease, but also response to pharmaceutical or lifestyle interventions. These are detectable in observational datasets as PGS-by-exposure (PGS×E) interactions. Existing literature suggests that PGS based on interactions (iPGS) or variance effects (vPGS) may be more powerful than standard marginal PGS (mPGS...

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Literature Corpus work
8f77123d-0044-51a9-9936-285bb276bce6
DOI
10.1101/2025.04.09.25324066
Open publication

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Polygenic scores capture genetic modification of the adiposity-cardiometabolic risk factor relationshipDOI 10.1101/2025.04.09.25324066
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