Integrating polymorphism signatures with myocardial perfusion imaging data to improve the prevention of coronary artery disease: Science or science-fiction?
Author:
Publisher
Springer Science and Business Media LLC
Subject
Cardiology and Cardiovascular Medicine,Radiology Nuclear Medicine and imaging
Link
http://link.springer.com/content/pdf/10.1007/s12350-020-02450-4.pdf
Reference7 articles.
1. Lali R, Cui E, Ansarikaleibari A, Pigeyre M, Paré G. Genetics of early-onset coronary artery disease: From discovery to clinical translation. Curr Opin Cardiol 2019;34:706-13.
2. Koyama S, Ito K, Terao C, Akiyama M, Horikoshi M, Momozawa Y, et al. Population-specific and trans-ancestry genome-wide analyses identify distinct and shared genetic risk loci for coronary artery disease. Nat Genet 2020;52:1169-77.
3. Khan SS, Cooper R, Greenland P. Do polygenic risk scores improve patient selection for prevention of coronary artery disease? JAMA 2020;323:614-5.
4. Mosley JD, Gupta DK, Tan J, Yao J, Wells QS, Shaffer CM, et al. Predictive accuracy of a polygenic risk score compared with a clinical risk score for incident coronary heart disease. JAMA 2020;323:627-35.
5. Elliott J, Bodinier B, Bond TA, Chadeau-Hyam M, Evangelou E, Moons KGM, et al. Predictive accuracy of a polygenic risk score-enhanced prediction model vs a clinical risk score for coronary artery disease. JAMA 2020;323:636-45.
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