Predictive Utility of a Coronary Artery Disease Polygenic Risk Score in Primary Prevention

Nicholas A Marston1, James P Pirruccello2,3,4, Giorgio E M Melloni1

  • 1TIMI Study Group, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts.

JAMA Cardiology
|December 28, 2022
PubMed

Insights

A polygenic risk score (PRS) for coronary artery disease (CAD) is more predictive in younger individuals. This PRS can help identify younger patients who would benefit from statin therapy for primary prevention.

Area of Science:

  • Cardiovascular Genetics
  • Preventive Cardiology
  • Biostatistics

Background:

  • The clinical utility of polygenic risk scores (PRS) for coronary artery disease (CAD) requires further establishment.
  • Risk stratification for primary prevention of CAD often relies on clinical risk factors alone.

Purpose of the Study:

  • To assess the ability of a CAD PRS to guide statin initiation in primary prevention.
  • To evaluate the PRS's performance across different age groups and in conjunction with clinical risk scores.

Main Methods:

  • Longitudinal cohort study using UK Biobank and Biobank Japan data.
  • Analysis included over 330,000 individuals without prior CAD or lipid-lowering therapy.
  • CAD PRS utilized 241 single-nucleotide variations; atherosclerotic cardiovascular disease (ASCVD) risk was calculated using pooled cohort equations.

Main Results:

  • CAD PRS significantly predicted myocardial infarction (MI) risk, with stronger prediction in younger individuals (age <50 years).
  • High PRS was associated with a 3- to 4-fold increased MI risk in those under 50.
  • Integrating CAD PRS reclassified risk for statin initiation in a substantial proportion of younger patients with borderline or intermediate ASCVD risk.

Conclusions:

  • CAD PRS demonstrates greater predictive ability in younger populations.
  • PRS can enhance risk stratification for statin therapy initiation in primary prevention, particularly in younger individuals.
  • This approach aids in identifying patients who may benefit from or not require statin therapy based on combined genetic and clinical risk assessment.
Abstract

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