作者
Michael Inouye, Gad Abraham, Christopher P Nelson, Angela M Wood, Michael J Sweeting, Frank Dudbridge, Florence Y Lai, Stephen Kaptoge, Marta Brozynska, Tingting Wang, Shu Ye, Thomas R Webb, Martin K Rutter, Ioanna Tzoulaki, Riyaz S Patel, Ruth JF Loos, Bernard Keavney, Harry Hemingway, John Thompson, Hugh Watkins, Panos Deloukas, Emanuele Di Angelantonio, Adam S Butterworth, John Danesh, Nilesh J Samani, UK Biobank CardioMetabolic Consortium CHD Working Group
发表日期
2018/10/8
期刊
Journal of the American College of Cardiology
卷号
72
期号
16
页码范围
1883-1893
出版商
Journal of the American College of Cardiology
简介
Background
Coronary artery disease (CAD) has substantial heritability and a polygenic architecture. However, the potential of genomic risk scores to help predict CAD outcomes has not been evaluated comprehensively, because available studies have involved limited genomic scope and limited sample sizes.
Objectives
This study sought to construct a genomic risk score for CAD and to estimate its potential as a screening tool for primary prevention.
Methods
Using a meta-analytic approach to combine large-scale, genome-wide, and targeted genetic association data, we developed a new genomic risk score for CAD (metaGRS) consisting of 1.7 million genetic variants. We externally tested metaGRS, both by itself and in combination with available data on conventional risk factors, in 22,242 CAD cases and 460,387 noncases from the UK Biobank.
Results
The hazard ratio (HR) for CAD was 1.71 (95% confidence …
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M Inouye, G Abraham, CP Nelson, AM Wood… - Journal of the American College of Cardiology, 2018