Genomic risk prediction of coronary artery disease in nearly 500,000 adults: implications for early screening and primary prevention
Michael Inouye, Gad Abraham, Christopher P. Nelson, Angela Wood, Michael J. Sweeting, Frank Dudbridge, Florence Y. Lai, Stephen K. Kaptoge, Marta Brożyńska, Tingting Wang, Shu Ye, Tom R. Webb, Martin K. Rutter, Ioanna Tzoulaki, Riyaz S. Patel, , Nilesh J. Samani
This paper develops a genomic risk score for coronary artery disease using 1.7 million variants and tests it in UK Biobank, showing it outperforms conventional risk factors in predicting CAD risk.
bioRxiv · Jan 19, 2018 · PreprintGenetics