Article

Machine Learning Reveals the Contribution of Rare Genetic Variants and Enhances Risk Prediction for Coronary Artery Disease in the Japanese Population

2024-08-13

Abstract excerpt

<h4>Summary</h4> Genome-wide association studies (GWASs) have advanced our understanding of coronary artery disease (CAD) genetics and enabled the development of polygenic risk scores (PRSs) for estimating genetic risk based on common variant burden. However, GWASs have limitations in analyzing rare variants due to insufficient statistical power, thereby constraining PRS performance. Here, we conducted whole genom...

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Literature Corpus work: d1a46937-5cba-58c1-b68d-65f42c6181ed
DOI: 10.1101/2024.08.13.24311909

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