Development and Evaluation of a Comprehensive Prediction Model for Incident Coronary Heart Disease Using Genetic, Social, and Lifestyle-Psychological Factors: A Prospective Analysis of the UK Biobank

利用遗传、社会和生活方式心理因素构建和评估冠心病发病率综合预测模型:英国生物银行的前瞻性分析

阅读:2

Abstract

BACKGROUND: Clinical risk calculators for coronary heart disease (CHD) do not include genetic, social, and lifestyle-psychological risk factors. OBJECTIVE: To improve CHD risk prediction by developing and evaluating a prediction model that incorporated a polygenic risk score (PRS) and a polysocial score (PSS), the latter including social determinants of health and lifestyle-psychological factors. DESIGN: Cohort study. SETTING: United Kingdom. PARTICIPANTS: UK Biobank participants recruited between 2006 and 2010. MEASUREMENTS: Incident CHD (myocardial infarction and/or coronary revascularization); 10-year clinical risk based on pooled cohort equations (PCE), Predicting Risk of cardiovascular disease EVENTs (PREVENT), and QRISK3; PRS (Polygenic Score Catalog identification: PGS000018) for CHD (PRS(CHD)); and PSS(CHD) from 100 related covariates. Machine-learning and time-to-event analyses and model performance indices. RESULTS: In 388 224 participants (age, 55.5 [SD, 8.1] years; 42.5% men; 94.9% White), the hazard ratio for 1 SD increase in PSS(CHD) for incident CHD was 1.43 (95% CI, 1.38 to 1.49; P < 0.001) and for 1 SD increase in PRS(CHD) was 1.59 (CI, 1.53 to 1.66, P < 0.001). Non-White persons had higher PSS(CHD) than White persons. The effects of PSS(CHD) and PRS(CHD) on CHD were independent and additive. At a 10-year CHD risk threshold of 7.5%, adding PSS(CHD) and PRS(CHD) to PCE reclassified 12% of participants, with 1.86 times higher CHD risk in the up- versus down-reclassified persons and showed superior performance compared with PCE as reflected by improved net benefit while maintaining good calibration relative to the clinical risk calculators. Similar results were seen when incorporating PSS(CHD) and PRS(CHD) into PREVENT and QRISK3. LIMITATION: A predominantly White cohort; possible healthy participant effect and ecological fallacy. CONCLUSION: A PSS(CHD) was associated with incident CHD and its joint modeling with PRS(CHD) improved the performance of clinical risk calculators. PRIMARY FUNDING SOURCE: National Human Genome Research Institute.

特别声明

1、本页面内容包含部分的内容是基于公开信息的合理引用;引用内容仅为补充信息,不代表本站立场。

2、若认为本页面引用内容涉及侵权,请及时与本站联系,我们将第一时间处理。

3、其他媒体/个人如需使用本页面原创内容,需注明“来源:[生知库]”并获得授权;使用引用内容的,需自行联系原作者获得许可。

4、投稿及合作请联系:info@biocloudy.com。