Article
Expanding drug targets for 112 chronic diseases using a machine learning-assisted genetic priority score.
Nature communications - 15 Oct 2024
Chen Robert, Duffy Áine, Petrazzini Ben O, Vy Ha My, Stein David, Mort Matthew, Park Joshua K, Schlessinger Avner, Itan Yuval, Cooper David N, Jordan Daniel M, Rocheleau Ghislain, Do Ron
Abstract excerpt
Identifying genetic drivers of chronic diseases is necessary for drug discovery. Here, we develop a machine learning-assisted genetic priority score, which we call ML-GPS, that incorporates genetic associations with predicted disease phenotypes to enhance target discovery. First, we construct gradient boosting models to predict 112 chronic disease phecodes in the UK Biobank and analyze associations of predicted...
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