Article

GENPHIRE: Enhancing Disease Risk Prediction Using Large Language Model

2025-12-04

Abstract excerpt

<h4>Background</h4> Estimating an individual’s liability to a disease is a fundamental problem in genome research. By exploiting findings from genome-wide association studies (GWASs), many powerful polygenic risk scores (PRSs) have been developed to predict disease risk based on genetic profile. Despite much success, the performance of PRS models is hindered by its inability to capture complex, nonlinear effects...

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Literature Corpus work: 2bb39303-47b3-51b3-83d2-3434aac1ae72
DOI: 10.64898/2025.12.03.25341576

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