An integrated polygenic and clinical risk tool enhances coronary artery disease prediction
Fernando Riveros-Mckay, Michael E. Weale, Rachel Moore, Saskia Selzam, Eva M. L. Krapohl, R. Michael Sivley, William A. Tarran, Peter Borgen Sørensen, Alexander S. Lachapelle, Jonathan A. Griffiths, Ayden Saffari, John Eric Deanfield, Chris C. A. Spencer, Julia Hippisley‐Cox, David J. Hunter, , Peter Donnelly
This paper develops an integrated risk tool combining polygenic risk scores with clinical risk factors to improve coronary artery disease prediction, showing better performance than existing tools.
Circulation Genomic and Precision Medicine · Mar 2, 2021Peer-reviewedGenetic & Genomic Medicine