Article

Novel Epistatic Interaction Between RBMS3 and CDKN2B-AS1 in Coronary Artery Disease Risk Identified by Machine Learning Tool VariantSpark

2025-10-21

Abstract excerpt

<h4>Background</h4> Genome-wide association studies (GWAS) of coronary artery disease (CAD), the leading cause of mortality and morbidity globally, have identified approximately 163 risk loci, yet only 40% of CAD genetic heritability can be explained. Non-additive genetic effects, like epistasis, likely contribute to CAD aetiology, but remain elusive due to limited data and insensitive algorithms. <h4>Results</h4...

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Literature Corpus work: 23b8413c-34b5-503c-a6bd-6c56d007540a
DOI: 10.1101/2025.10.19.25338331

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