SynthesisEuropean heart journal2022
A polygenic risk score improves risk stratification of coronary artery disease: a large-scale prospective Chinese cohort study.
Open access · bronzeAbstract readMeta-Analysis
In one paragraph
Synthesis in European heart journal, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 90 papers, 2 of them syntheses that pooled it.
0numbers the graph read from it
0cells of the map it votes in
90citing papers in PubMed, 2 pooled it
30.5field-weighted citation impact, top 1% of its field
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
90 citing papers in PubMed, 2 syntheses or guidelines pooled it, 154 citations in OpenAlex.
- Clinical analysis of drug treatment trends for coronary heart disease in China.Frontiers in medicine · 2026Pooled it
- Pooled it
- Baseline Computed Tomography Coronary Angiography and Polygenic Risk Profiles in Adults With Type 2 Diabetes: A Cross-Sectional Analysis From the VOLTAIRE Study.Diabetes, obesity & metabolism · 2026Trial
- Polygenic Risk Based Detection and Treatment of Subclinical Coronary Atherosclerosis in the PROACT Clinical Trials.Journal of the American College of Cardiology · 2026Trial
- Polygenic Risk Scores disclosure for cardiovascular prevention: Protocol of the Personalized HeartCare (PHC) trial.PloS one · 2026Trial
- Social jet lag is associated with incident cardiovascular disease independent of sleep duration and cardiac genetic risk.Journal of internal medicine · 2026Article
- Cardiovascular Health Promotion and Disease Prevention in China: Calling for New-Era Strategies.JACC. Asia · 2026Review
- Inherited risk of coronary artery disease: redefining care with imaging and genetics.Nature reviews. Cardiology · 2026Review
- An efficient LASSO framework for admixture-aware polygenic scores.HGG advances · 2026Article
- Improving Polygenic Risk Prediction for Atherosclerotic Cardiovascular Disease in East Asian Populations.JACC. Asia · 2026Review
- Evaluating Individual Level Performance of Polygenic Risk Scores Using Early Onset High Genetic Risk Coronary Artery Disease as a Benchmark.medRxiv : the preprint server for health sciences · 2026Article
- Precision cardiovascular medicine with big data and AI.NPJ digital medicine · 2026Review
- Article
- Restricted Versus Genome-Wide Genetic Risk Scores for Coronary Artery Disease.Journal of the American Heart Association · 2026Article
- Biological age acceleration and interaction with genetic predisposition in the risk of type 2 diabetes and coronary artery disease.GeroScience · 2026Article
- Unraveling the genetic blueprint of coronary artery disease: The role of polygenic risk scores in risk prediction.American heart journal plus : cardiology research and practice · 2026Article
- Association between polygenic risk scores and cardiovascular events in prostate cancer patients receiving androgen deprivation therapy in Han Chinese.Cardio-oncology (London, England) · 2026Article
- Predictive Biomarkers for Asymptomatic Adults: Opportunities, Risks, and Guidance for General Practice.Diagnostics (Basel, Switzerland) · 2026Review
- Sex differences in the associations of multidomain risk factor profiles with incident major adverse cardiovascular events.Frontiers in cardiovascular medicine · 2026Article
- Which insulin resistance indices best predict future frailty progression in a cardiovascular-kidney-metabolic syndrome stage 0-3 population: a national prospective cohort and machine learning study.Diabetology & metabolic syndrome · 2025Article
30 more citing papers are in PubMed but not listed here.
Corrections and comments
- Commented on by
- Commented on by
Authors and funding
57 authors at 20 institutions in 5 countries.
Xiangfeng LuKey Laboratory of Cardiovascular Epidemiology & Department of Epidemiology, State Key Laboratory of Cardiovascular Disease, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100037, China.
Zhongying LiuKey Laboratory of Cardiovascular Epidemiology & Department of Epidemiology, State Key Laboratory of Cardiovascular Disease, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100037, China.
Qingmei CuiKey Laboratory of Cardiovascular Epidemiology & Department of Epidemiology, State Key Laboratory of Cardiovascular Disease, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100037, China.
Fangchao LiuKey Laboratory of Cardiovascular Epidemiology & Department of Epidemiology, State Key Laboratory of Cardiovascular Disease, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100037, China.
Jianxin LiKey Laboratory of Cardiovascular Epidemiology & Department of Epidemiology, State Key Laboratory of Cardiovascular Disease, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100037, China.ORCID 0000-0001-9166-642X
Xiaoge NiuKey Laboratory of Cardiovascular Epidemiology & Department of Epidemiology, State Key Laboratory of Cardiovascular Disease, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100037, China.
Chong ShenDepartment of Epidemiology and Biostatistics, School of Public Health, Nanjing Medical University, Nanjing 211166, China.
Dongsheng HuDepartment of Epidemiology and Health Statistics, College of Public Health, Zhengzhou University, Zhengzhou 450001, China.
Keyong HuangKey Laboratory of Cardiovascular Epidemiology & Department of Epidemiology, State Key Laboratory of Cardiovascular Disease, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100037, China.
Jichun ChenKey Laboratory of Cardiovascular Epidemiology & Department of Epidemiology, State Key Laboratory of Cardiovascular Disease, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100037, China.
Xiaolong XingKey Laboratory of Cardiovascular Epidemiology & Department of Epidemiology, State Key Laboratory of Cardiovascular Disease, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100037, China.
Yingxin ZhaoCardio-Cerebrovascular Control and Research Center, Institute of Basic Medicine, Shandong Academy of Medical Sciences, Jinan 250062, China.
Fanghong LuCardio-Cerebrovascular Control and Research Center, Institute of Basic Medicine, Shandong Academy of Medical Sciences, Jinan 250062, China.
Xiaoqing LiuDivision of Epidemiology, Guangdong Provincial People's Hospital and Cardiovascular Institute, Guangzhou 510080, China.
Jie CaoKey Laboratory of Cardiovascular Epidemiology & Department of Epidemiology, State Key Laboratory of Cardiovascular Disease, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100037, China.
Shufeng ChenKey Laboratory of Cardiovascular Epidemiology & Department of Epidemiology, State Key Laboratory of Cardiovascular Disease, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100037, China.
Hongxia MaDepartment of Epidemiology and Biostatistics, School of Public Health, Nanjing Medical University, Nanjing 211166, China.ORCID 0000-0002-2462-9693
Ling YuDepartment of Cardiology, Fujian Provincial People's Hospital, Fuzhou 350014, China.
Xianping WuSichuan Center for Disease Control and Prevention, Chengdu 610041, China.
Xigui WuKey Laboratory of Cardiovascular Epidemiology & Department of Epidemiology, State Key Laboratory of Cardiovascular Disease, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100037, China.
Ying LiKey Laboratory of Cardiovascular Epidemiology & Department of Epidemiology, State Key Laboratory of Cardiovascular Disease, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100037, China.ORCID 0000-0001-9040-5201
Huan ZhangCenter for Genetic Epidemiology and Genomics, School of Public Health and Jiangsu Key Laboratory of Preventive and Translational Medicine for Geriatric Diseases, Medical College of Soochow University, Suzhou 215123, China.
Xingbo MoCenter for Genetic Epidemiology and Genomics, School of Public Health and Jiangsu Key Laboratory of Preventive and Translational Medicine for Geriatric Diseases, Medical College of Soochow University, Suzhou 215123, China.
Liancheng ZhaoKey Laboratory of Cardiovascular Epidemiology & Department of Epidemiology, State Key Laboratory of Cardiovascular Disease, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100037, China.
Jianfeng HuangKey Laboratory of Cardiovascular Epidemiology & Department of Epidemiology, State Key Laboratory of Cardiovascular Disease, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100037, China.
Laiyuan WangKey Laboratory of Cardiovascular Epidemiology & Department of Epidemiology, State Key Laboratory of Cardiovascular Disease, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100037, China.
Wanqing WenDepartment of Medicine, Vanderbilt University Medical Center, Nashville, TN, USA.ORCID 0000-0002-3004-5168
Xiao-Ou ShuDepartment of Medicine, Vanderbilt University Medical Center, Nashville, TN, USA.ORCID 0000-0002-0711-8314
Fumihiko TakeuchiDepartment of Gene Diagnostics and Therapeutics, Research Institute, National Center for Global Health and Medicine, Tokyo, Japan.ORCID 0000-0003-3185-5661
Woon-Puay KohHealthy Longevity Translational Research Programme, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore.ORCID 0000-0002-5674-6341
E Shyong TaiSaw Swee Hock School of Public Health, National University of Singapore and National University Health System, Singapore.
Ching-Yu ChengSingapore Eye Research Institute, Singapore National Eye Centre, Singapore.ORCID 0000-0003-0655-885X
Tien Yin WongSingapore Eye Research Institute, Singapore National Eye Centre, Singapore.ORCID 0000-0002-8448-1264
Xuling ChangDepartment of Paediatrics, Yong Loo Lin School of Medicine, National University of Singapore, Singapore.ORCID 0000-0001-7471-4768
Mark Yan-Yee ChanDepartment of Medicine, Yong Loo Lin School of Medicine, National University of Singapore, Singapore.ORCID 0000-0003-0389-7450
Wei GaoDepartment of Cardiology, Institute of Vascular Medicine, Peking University Third Hospital, Beijing, China.ORCID 0000-0003-3541-9568
Hong ZhengDepartment of Epidemiology and Biostatistics, Key Laboratory of Cancer Prevention and Therapy, Tianjin Key Laboratory of Breast Cancer Prevention and Therapy, Ministry of Education, National Clinical Research Center for Cancer, Tianjin Medical University Cancer Institute and Hospital, Tianjin, China.
Kexin ChenDepartment of Epidemiology and Biostatistics, Key Laboratory of Cancer Prevention and Therapy, Tianjin Key Laboratory of Breast Cancer Prevention and Therapy, Ministry of Education, National Clinical Research Center for Cancer, Tianjin Medical University Cancer Institute and Hospital, Tianjin, China.
Jing ChenDepartment of Medicine, Tulane University School of Medicine, and Tulane University Translational Science Institute, New Orleans, LA, USA.
Jiang HeDepartment of Epidemiology, Tulane University School of Public Health and Tropical Medicine, and Tulane University Translational Science Institute, New Orleans, LA, USA.ORCID 0000-0002-8286-9652
Clara Sze-Man TangDepartment of Surgery, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong, China.ORCID 0000-0003-0265-2638
Karen Siu Ling LamDepartment of Medicine, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong, China.ORCID 0000-0001-5757-541X
Hung-Fat TseDepartment of Medicine, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong, China.ORCID 0000-0002-9578-7808
Chloe Yu Yan CheungDepartment of Medicine, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong, China.
Atsushi TakahashiLaboratory for Statistical and Translational Genetics, RIKEN Center for Integrative Medical Sciences, Yokohama, Japan.ORCID 0000-0001-7099-8767
Michiaki KuboLaboratory for Statistical and Translational Genetics, RIKEN Center for Integrative Medical Sciences, Yokohama, Japan.ORCID 0000-0002-0095-2322
Norihiro KatoDepartment of Gene Diagnostics and Therapeutics, Research Institute, National Center for Global Health and Medicine, Tokyo, Japan.ORCID 0000-0002-2433-8415
Chikashi TeraoLaboratory for Statistical and Translational Genetics, RIKEN Center for Integrative Medical Sciences, Yokohama, Japan.ORCID 0000-0002-6452-4095
Yoichiro KamataniLaboratory for Statistical and Translational Genetics, RIKEN Center for Integrative Medical Sciences, Yokohama, Japan.ORCID 0000-0001-8748-5597
Pak Chung ShamCentre for PanorOmic Sciences, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong, China.
Chew-Kiat HengDepartment of Paediatrics, Yong Loo Lin School of Medicine, National University of Singapore, Singapore.ORCID 0000-0002-7309-9473
Zhibin HuDepartment of Epidemiology and Biostatistics, School of Public Health, Nanjing Medical University, Nanjing 211166, China.
Y Eugene ChenDepartment of Internal Medicine, Division of Cardiovascular Medicine, University of Michigan, Ann Arbor, MI, USA.ORCID 0000-0003-2357-7825
Tangchun WuMOE Key Lab of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science & Technology, Wuhan 430030, China.
Hongbing ShenDepartment of Epidemiology and Biostatistics, School of Public Health, Nanjing Medical University, Nanjing 211166, China.ORCID 0000-0002-2581-5906
Cristen J WillerDepartment of Internal Medicine, Division of Cardiovascular Medicine, University of Michigan, Ann Arbor, MI, USA.
Dongfeng GuKey Laboratory of Cardiovascular Epidemiology & Department of Epidemiology, State Key Laboratory of Cardiovascular Disease, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100037, China.ORCID 0000-0002-2781-7825
Chinese Academy of Medical Sciences & Peking Union Medical College · CNChinese University of Hong Kong · HKNational University of Singapore · SGNanjing Medical University · CNRIKEN Center for Integrative Medical Sciences · JPTulane University · USNational Center for Global Health and Medicine · JPShandong First Medical University · CNSingapore National Eye Center · SGSoochow University · CNTianjin Medical University Cancer Institute and Hospital · CNVanderbilt University Medical Center · USFujian Provincial People's Hospital · CNGuangdong Provincial People's Hospital · CNHuazhong University of Science and Technology · CNMichigan Medicine · USNational Cerebral and Cardiovascular Center · JPPeking University · CNUniversity of Michigan · USZhengzhou University · CN
Funding
Using genetics to discover mechanisms of myocardial infarctionR01HL109946 · NHLBI · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI YUQING Eugene CHEN, Ida Liisa Surakka · 2011 to 2026
$8.9MNHLBI NIH HHS R01 HL109946
Abstract
aimsTo 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
resultsUsing 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.
conclusionThe 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.
Indexed as
Coronary Artery DiseaseAsian PeopleChinaCohort StudiesGenetic Predisposition to DiseaseGenome-Wide Association StudyHumansMultifactorial InheritanceProspective StudiesRisk AssessmentRisk FactorsClinical risk scoreCoronary artery diseasePolygenic risk score
Identifiers
What Socratic holds
Textmetadata
LicenceCC BY-NC
Read underepoch 390
Registered trials
None linked
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.