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Cardiovascular Disease Risk Assessment Using Traditional Risk Factors and Polygenic Risk Scores in the Million
Jason L Vassy1,2, Daniel C Posner1, Yuk-Lam Ho1
1Veterans Affairs Boston Healthcare System, Boston, Massachusetts.
Insights
Genome-wide polygenic risk scores (PRSs) show significant associations with atherosclerotic cardiovascular disease (ASCVD) events across diverse ancestries. Adding PRSs to traditional risk factors offers modest improvements in risk prediction, particularly for women and younger individuals.
Area of Science:
- Genetics and Cardiovascular Disease Epidemiology
- Precision Medicine and Risk Stratification
Background:
- Primary prevention of atherosclerotic cardiovascular disease (ASCVD) relies on accurate risk stratification.
- Genome-wide polygenic risk scores (PRSs) are emerging tools to enhance cardiovascular risk estimation.
Purpose of the Study:
- To evaluate if genome-wide PRSs for coronary artery disease (CAD) and acute ischemic stroke improve ASCVD risk prediction.
- To assess PRS utility in an ancestrally diverse, midlife population using traditional clinical risk factors.
Main Methods:
- A prognostic analysis of incident cardiovascular events within the Million Veteran Program (MVP) cohort (n=79,151).
- Longitudinal cohort study from 2011-2018, including participants free of ASCVD and statin use at baseline.
- PRSs for CAD and stroke, derived from European-descent cohorts, were analyzed alongside traditional risk factors (age, sex, lipids, smoking, diabetes).
Main Results:
- PRSs for CAD and stroke were significantly associated with incident myocardial infarction and ischemic stroke across non-Hispanic Black, Hispanic, and non-Hispanic White participants.
- A combined PRS demonstrated associations with ASCVD deaths and composite ASCVD events in all ancestry groups.
- Net reclassification improvement was modest when adding PRSs to traditional risk models, with greater impact observed in women and younger age groups.
Conclusions:
- Genome-wide PRSs, even those derived from European-centric cohorts, show statistical significance in predicting ASCVD events in a multiancestry population.
- The addition of PRSs to conventional risk factors provides a modest enhancement in risk prediction metrics.
- The findings suggest potential utility of PRSs in refining ASCVD risk assessment, particularly in specific demographic subgroups.
Importance:
Primary prevention of atherosclerotic cardiovascular disease (ASCVD) relies on risk stratification. Genome-wide polygenic risk scores (PRSs) are proposed to improve ASCVD risk estimation.
Objective:
To determine whether genome-wide PRSs for coronary artery disease (CAD) and acute ischemic stroke improve ASCVD risk estimation with traditional clinical risk factors in an ancestrally diverse midlife population.
Design, Setting, And Participants:
This was a prognostic analysis of incident events in a retrospectively defined longitudinal cohort conducted from January 1, 2011, to December 31, 2018. Included in the study were adults free of ASCVD and statin naive at baseline from the Million Veteran Program (MVP), a mega biobank with genetic, survey, and electronic health record data from a large US health care system. Data were analyzed from March 15, 2021, to January 5, 2023.
Exposures:
PRSs for CAD and ischemic stroke derived from cohorts of largely European descent and risk factors, including age, sex, systolic blood pressure, total cholesterol, high-density lipoprotein (HDL) cholesterol, smoking, and diabetes status.
Main Outcomes And Measures:
Incident nonfatal myocardial infarction (MI), ischemic stroke, ASCVD death, and composite ASCVD events.
Results:
A total of 79 151 participants (mean [SD] age, 57.8 [13.7] years; 68 503 male [86.5%]) were included in the study. The cohort included participants from the following harmonized genetic ancestry and race and ethnicity categories: 18 505 non-Hispanic Black (23.4%), 6785 Hispanic (8.6%), and 53 861 non-Hispanic White (68.0%) with a median (5th-95th percentile) follow-up of 4.3 (0.7-6.9) years. From 2011 to 2018, 3186 MIs (4.0%), 1933 ischemic strokes (2.4%), 867 ASCVD deaths (1.1%), and 5485 composite ASCVD events (6.9%) were observed. CAD PRS was associated with incident MI in non-Hispanic Black (hazard ratio [HR], 1.10; 95% CI, 1.02-1.19), Hispanic (HR, 1.26; 95% CI, 1.09-1.46), and non-Hispanic White (HR, 1.23; 95% CI, 1.18-1.29) participants. Stroke PRS was associated with incident stroke in non-Hispanic White participants (HR, 1.15; 95% CI, 1.08-1.21). A combined CAD plus stroke PRS was associated with ASCVD deaths among non-Hispanic Black (HR, 1.19; 95% CI, 1.03-1.17) and non-Hispanic (HR, 1.11; 95% CI, 1.03-1.21) participants. The combined PRS was also associated with composite ASCVD across all ancestry groups but greater among non-Hispanic White (HR, 1.20; 95% CI, 1.16-1.24) than non-Hispanic Black (HR, 1.11; 95% CI, 1.05-1.17) and Hispanic (HR, 1.12; 95% CI, 1.00-1.25) participants. Net reclassification improvement from adding PRS to a traditional risk model was modest for the intermediate risk group for composite CVD among men (5-year risk >3.75%, 0.38%; 95% CI, 0.07%-0.68%), among women, (6.79%; 95% CI, 3.01%-10.58%), for age older than 55 years (0.25%; 95% CI, 0.03%-0.47%), and for ages 40 to 55 years (1.61%; 95% CI, -0.07% to 3.30%).
Conclusions And Relevance:
Study results suggest that PRSs derived predominantly in European samples were statistically significantly associated with ASCVD in the multiancestry midlife and older-age MVP cohort. Overall, modest improvement in discrimination metrics were observed with addition of PRSs to traditional risk factors with greater magnitude in women and younger age groups.
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