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Minimal improvement in coronary artery disease risk prediction in Chinese population using polygenic risk scores: evidence from the China Kadoorie Biobank by Songchun Yang; Dong Sun; Zhijia Sun; Canqing Yu; Yu Guo; Jiahui Si; Dianjianyi Sun; Yuanjie Pang; Pei Pei; Ling Yang; Iona Y. Millwood; Robin G.Walters; Yiping Chen; Huaidong Du; Zengchang Pang; Dan Schmidt; Rebecca Stevens; Robert Clarke; Junshi Chen; Zhengming Chen; Jun Lv; Liming Li is a Medicine article available to read on EtoBox.
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## Abstract ## Background: Several studies have reported that polygenic risk scores (PRSs) can enhance risk prediction of coronary artery disease (CAD) in European populations. However, research on this topic is far from sufficient in non-European countries, including China. We aimed to evaluate the potential of PRS for predicting CAD for primary prevention in the Chinese population. ## Methods: Participants with genome-wide genotypic data from the China Kadoorie Biobank were divided into training (__n__ = 28,490) and testing sets (__n__ = 72,150). Ten previously developed PRSs were evaluated, and new ones were developed using clumping and thresholding or LDpred method. The PRS showing the strongest association with CAD in the training set was selected to further evaluate its effects on improving the traditional CAD risk-prediction model in the testing set. Genetic risk was computed by summing the product of the weights and allele dosages across genome-wide single-nucleotide polymorphisms. Prediction of the 10-year first CAD events was assessed using hazard ratios (HRs) and measures of model discrimination, calibration, and net reclassification improvement (NRI). Hard CAD (nonfatal
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- Author
- Songchun Yang; Dong Sun; Zhijia Sun; Canqing Yu; Yu Guo; Jiahui Si; Dianjianyi Sun; Yuanjie Pang; Pei Pei; Ling Yang; Iona Y. Millwood; Robin G.Walters; Yiping Chen; Huaidong Du; Zengchang Pang; Dan Schmidt; Rebecca Stevens; Robert Clarke; Junshi Chen; Zhengming Chen; Jun Lv; Liming Li
- Publisher
- Ovid Technologies (Wolters Kluwer Health)
- Published
- 2023
- Language
- EN
- Field
- Medicine (Health Sciences)