Multi-polygenic prediction of frailty highlights chronic pain and educational attainment as key risk and protective factors.

ABSTRACT: Frailty is a complex trait. Twin studies and recent Genome-Wide Association Studies have demonstrated a strong genetic basis of frailty but there remains a lack of genetic studies exploring genetic prediction of Frailty. Previous work has shown that a single polygenic predictor - represented by a Frailty polygenic score - predicts Frailty, measured via the frailty index, in independent samples within the United Kingdom. We extended this work, using a multi-polygenic score (MPS) approach to increase predictive power. Predictor variables - twenty-six polygenic scores (PGS) were modelled in regularised Elastic net regression models, with repeated cross-validation, to estimate joint prediction of the polygenic scores and order the predictions by their contributing strength to Frailty in two in

SUBMITTER: Flint JP 

PROVIDER: S-EPMC11160845 | biostudies-literature | 2024 May

REPOSITORIES: biostudies-literature