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A polygenic risk score improves risk stratification of coronary artery disease: a large-scale prospective Chinese cohort study
AIMS: To construct a polygenic risk score (PRS) for coronary artery disease (CAD) and comprehensively evaluate its potential in clinical utility for primary prevention in Chinese populations. METHODS AND RESULTS: Using meta-analytic approach and large genome-wide association results for CAD and CAD-...
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9076396/ https://www.ncbi.nlm.nih.gov/pubmed/35195259 http://dx.doi.org/10.1093/eurheartj/ehac093 |
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author | Lu, Xiangfeng Liu, Zhongying Cui, Qingmei Liu, Fangchao Li, Jianxin Niu, Xiaoge Shen, Chong Hu, Dongsheng Huang, Keyong Chen, Jichun Xing, Xiaolong Zhao, Yingxin Lu, Fanghong Liu, Xiaoqing Cao, Jie Chen, Shufeng Ma, Hongxia Yu, Ling Wu, Xianping Wu, Xigui Li, Ying Zhang, Huan Mo, Xingbo Zhao, Liancheng Huang, Jianfeng Wang, Laiyuan Wen, Wanqing Shu, Xiao-Ou Takeuchi, Fumihiko Koh, Woon-Puay Tai, E Shyong Cheng, Ching-Yu Wong, Tien yin Chang, Xuling Chan, Mark Yan-Yee Gao, Wei Zheng, Hong Chen, Kexin Chen, Jing He, Jiang Tang, Clara Sze-man Lam, Karen Siu Ling Tse, Hung-fat Cheung, Chloe Yu Yan Takahashi, Atsushi Kubo, Michiaki Kato, Norihiro Terao, Chikashi Kamatani, Yoichiro Sham, Pak Chung Heng, Chew-Kiat Hu, Zhibin Chen, Y Eugene Wu, Tangchun Shen, Hongbing Willer, Cristen J Gu, Dongfeng |
author_facet | Lu, Xiangfeng Liu, Zhongying Cui, Qingmei Liu, Fangchao Li, Jianxin Niu, Xiaoge Shen, Chong Hu, Dongsheng Huang, Keyong Chen, Jichun Xing, Xiaolong Zhao, Yingxin Lu, Fanghong Liu, Xiaoqing Cao, Jie Chen, Shufeng Ma, Hongxia Yu, Ling Wu, Xianping Wu, Xigui Li, Ying Zhang, Huan Mo, Xingbo Zhao, Liancheng Huang, Jianfeng Wang, Laiyuan Wen, Wanqing Shu, Xiao-Ou Takeuchi, Fumihiko Koh, Woon-Puay Tai, E Shyong Cheng, Ching-Yu Wong, Tien yin Chang, Xuling Chan, Mark Yan-Yee Gao, Wei Zheng, Hong Chen, Kexin Chen, Jing He, Jiang Tang, Clara Sze-man Lam, Karen Siu Ling Tse, Hung-fat Cheung, Chloe Yu Yan Takahashi, Atsushi Kubo, Michiaki Kato, Norihiro Terao, Chikashi Kamatani, Yoichiro Sham, Pak Chung Heng, Chew-Kiat Hu, Zhibin Chen, Y Eugene Wu, Tangchun Shen, Hongbing Willer, Cristen J Gu, Dongfeng |
author_sort | Lu, Xiangfeng |
collection | PubMed |
description | AIMS: To construct a polygenic risk score (PRS) for coronary artery disease (CAD) and comprehensively evaluate its potential in clinical utility for primary prevention in Chinese populations. METHODS AND RESULTS: Using meta-analytic approach and large genome-wide association results for CAD and CAD-related traits in East Asians, a PRS comprising 540 genetic variants was developed in a training set of 2800 patients with CAD and 2055 controls, and was further assessed for risk stratification for CAD integrating with the guideline-recommended clinical risk score in large prospective cohorts comprising 41 271 individuals. During a mean follow-up of 13.0 years, 1303 incident CAD cases were identified. Individuals with high PRS (the highest 20%) had about three-fold higher risk of CAD than the lowest 20% (hazard ratio 2.91, 95% confidence interval 2.43–3.49), with the lifetime risk of 15.9 and 5.8%, respectively. The addition of PRS to the clinical risk score yielded a modest yet significant improvement in C-statistic (1%) and net reclassification improvement (3.5%). We observed significant gradients in both 10-year and lifetime risk of CAD according to the PRS within each clinical risk strata. Particularly, when integrating high PRS, intermediate clinical risk individuals with uncertain clinical decision for intervention would reach the risk levels (10-year of 4.6 vs. 4.8%, lifetime of 17.9 vs. 16.6%) of high clinical risk individuals with intermediate (20–80%) PRS. CONCLUSION: The PRS could stratify individuals into different trajectories of CAD risk, and further refine risk stratification for CAD within each clinical risk strata, demonstrating a great potential to identify high-risk individuals for targeted intervention in clinical utility. |
format | Online Article Text |
id | pubmed-9076396 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-90763962022-05-09 A polygenic risk score improves risk stratification of coronary artery disease: a large-scale prospective Chinese cohort study Lu, Xiangfeng Liu, Zhongying Cui, Qingmei Liu, Fangchao Li, Jianxin Niu, Xiaoge Shen, Chong Hu, Dongsheng Huang, Keyong Chen, Jichun Xing, Xiaolong Zhao, Yingxin Lu, Fanghong Liu, Xiaoqing Cao, Jie Chen, Shufeng Ma, Hongxia Yu, Ling Wu, Xianping Wu, Xigui Li, Ying Zhang, Huan Mo, Xingbo Zhao, Liancheng Huang, Jianfeng Wang, Laiyuan Wen, Wanqing Shu, Xiao-Ou Takeuchi, Fumihiko Koh, Woon-Puay Tai, E Shyong Cheng, Ching-Yu Wong, Tien yin Chang, Xuling Chan, Mark Yan-Yee Gao, Wei Zheng, Hong Chen, Kexin Chen, Jing He, Jiang Tang, Clara Sze-man Lam, Karen Siu Ling Tse, Hung-fat Cheung, Chloe Yu Yan Takahashi, Atsushi Kubo, Michiaki Kato, Norihiro Terao, Chikashi Kamatani, Yoichiro Sham, Pak Chung Heng, Chew-Kiat Hu, Zhibin Chen, Y Eugene Wu, Tangchun Shen, Hongbing Willer, Cristen J Gu, Dongfeng Eur Heart J Clinical Research AIMS: To construct a polygenic risk score (PRS) for coronary artery disease (CAD) and comprehensively evaluate its potential in clinical utility for primary prevention in Chinese populations. METHODS AND RESULTS: Using meta-analytic approach and large genome-wide association results for CAD and CAD-related traits in East Asians, a PRS comprising 540 genetic variants was developed in a training set of 2800 patients with CAD and 2055 controls, and was further assessed for risk stratification for CAD integrating with the guideline-recommended clinical risk score in large prospective cohorts comprising 41 271 individuals. During a mean follow-up of 13.0 years, 1303 incident CAD cases were identified. Individuals with high PRS (the highest 20%) had about three-fold higher risk of CAD than the lowest 20% (hazard ratio 2.91, 95% confidence interval 2.43–3.49), with the lifetime risk of 15.9 and 5.8%, respectively. The addition of PRS to the clinical risk score yielded a modest yet significant improvement in C-statistic (1%) and net reclassification improvement (3.5%). We observed significant gradients in both 10-year and lifetime risk of CAD according to the PRS within each clinical risk strata. Particularly, when integrating high PRS, intermediate clinical risk individuals with uncertain clinical decision for intervention would reach the risk levels (10-year of 4.6 vs. 4.8%, lifetime of 17.9 vs. 16.6%) of high clinical risk individuals with intermediate (20–80%) PRS. CONCLUSION: The PRS could stratify individuals into different trajectories of CAD risk, and further refine risk stratification for CAD within each clinical risk strata, demonstrating a great potential to identify high-risk individuals for targeted intervention in clinical utility. Oxford University Press 2022-02-23 /pmc/articles/PMC9076396/ /pubmed/35195259 http://dx.doi.org/10.1093/eurheartj/ehac093 Text en © The Author(s) 2022. Published by Oxford University Press on behalf of European Society of Cardiology. https://creativecommons.org/licenses/by-nc/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution-NonCommercial License (https://creativecommons.org/licenses/by-nc/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is properly cited. For commercial re-use, please contact journals.permissions@oup.com |
spellingShingle | Clinical Research Lu, Xiangfeng Liu, Zhongying Cui, Qingmei Liu, Fangchao Li, Jianxin Niu, Xiaoge Shen, Chong Hu, Dongsheng Huang, Keyong Chen, Jichun Xing, Xiaolong Zhao, Yingxin Lu, Fanghong Liu, Xiaoqing Cao, Jie Chen, Shufeng Ma, Hongxia Yu, Ling Wu, Xianping Wu, Xigui Li, Ying Zhang, Huan Mo, Xingbo Zhao, Liancheng Huang, Jianfeng Wang, Laiyuan Wen, Wanqing Shu, Xiao-Ou Takeuchi, Fumihiko Koh, Woon-Puay Tai, E Shyong Cheng, Ching-Yu Wong, Tien yin Chang, Xuling Chan, Mark Yan-Yee Gao, Wei Zheng, Hong Chen, Kexin Chen, Jing He, Jiang Tang, Clara Sze-man Lam, Karen Siu Ling Tse, Hung-fat Cheung, Chloe Yu Yan Takahashi, Atsushi Kubo, Michiaki Kato, Norihiro Terao, Chikashi Kamatani, Yoichiro Sham, Pak Chung Heng, Chew-Kiat Hu, Zhibin Chen, Y Eugene Wu, Tangchun Shen, Hongbing Willer, Cristen J Gu, Dongfeng A polygenic risk score improves risk stratification of coronary artery disease: a large-scale prospective Chinese cohort study |
title | A polygenic risk score improves risk stratification of coronary artery disease: a large-scale prospective Chinese cohort study |
title_full | A polygenic risk score improves risk stratification of coronary artery disease: a large-scale prospective Chinese cohort study |
title_fullStr | A polygenic risk score improves risk stratification of coronary artery disease: a large-scale prospective Chinese cohort study |
title_full_unstemmed | A polygenic risk score improves risk stratification of coronary artery disease: a large-scale prospective Chinese cohort study |
title_short | A polygenic risk score improves risk stratification of coronary artery disease: a large-scale prospective Chinese cohort study |
title_sort | polygenic risk score improves risk stratification of coronary artery disease: a large-scale prospective chinese cohort study |
topic | Clinical Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9076396/ https://www.ncbi.nlm.nih.gov/pubmed/35195259 http://dx.doi.org/10.1093/eurheartj/ehac093 |
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