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Article

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

Cell genomics - 11 Mar 2026

Westerman Kenneth E, Gervis Julie E, O'Connor Luke J, Udler Miriam S, Manning Alisa K

Abstract excerpt

Polygenic scores (PGSs) that can predict response to interventions can facilitate precision medicine and are detectable in observational datasets as PGS-by-exposure (PGS×E) interactions. PGSs based on interactions (iPGSs) or variance effects (vPGSs) may be more powerful than standard PGSs for detecting PGS×E, but these have yet to be systematically compared. We describe a generalized pipeline for developing and...

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Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

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Identifiers

PMID: 41297543
DOI: 10.1016/j.xgen.2025.101075
PMCID: PMC12985365

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PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 8 Sept 2026.

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