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Exploring Random Forest in Genetic Risk Score Construction.

Genetic epidemiology - 1 Dec 2025

Venkat Vaishnavi, Clark Kaylyn, Jeng X Jessie, Yao Tsung-Chieh, Tsai Hui-Ju, Lu Tzu-Pin, Hsiao Tzu-Hung, Lin Ching-Heng, Holloway Shannon, Hoyo Cathrine, Chou Shin-Yi, Wang Hui, Lee Wan-Ping, Wang Li-San, Tzeng Jung-Ying

Abstract excerpt

Genetic risk scores (GRS) are crucial tools for estimating an individual's genetic liability to various traits and diseases, computed as a weighted sum of trait-associated allele counts. Traditionally, GRS models assume additive, linear effects of risk variants. However, complex traits often involve nonadditive interactions, such as epistasis, which are not captured by these conventional methods. In this study,...

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Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

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Identifiers

PMID: 41137733
DOI: 10.1002/gepi.70022
PMCID: PMC12553327

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