Article

Deciphering epistatic genetic regulation of cardiac hypertrophy

2023-11-09

Abstract excerpt

Although genetic variant effects often interact non-additively, strategies to uncover epistasis remain in their infancy. Here, we develop low-signal signed iterative random forests to elucidate the complex genetic architecture of cardiac hypertrophy, using deep learning-derived left ventricular mass estimates from 29,661 UK Biobank cardiac MRIs. We report epistatic variants near CCDC141 , IGF1R , TTN , and TNKS ,...

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Literature Corpus work: 8512f89a-b33e-5514-8b92-95fb1593114a
DOI: 10.1101/2023.11.06.23297858

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