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.

JAMA Cardiology
|May 3, 2023
PubMed

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.
Abstract

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