Differential Performance of Polygenic Score for Coronary Artery Disease Based on Coronary Artery Calcium Between Men

Genevieve Wojcik1, Marios Arvanitis2, Sabina Haberlen1

  • 1Department of Epidemiology Johns Hopkins Bloomberg School of Public Health Baltimore MD USA.

Insights

Polygenic risk score for coronary artery disease (PRSCAD) showed lower performance in predicting coronary artery calcium in people living with HIV (PLWH) compared to people without HIV (PWOH). Further research is needed for accurate risk prediction models in PLWH.

Area of Science:

  • Cardiovascular disease research
  • Genetics and personalized medicine
  • HIV/AIDS research

Background:

  • Individuals with HIV face a higher risk of coronary artery disease (CAD).
  • The effectiveness of polygenic risk score for CAD (PRSCAD) in people living with HIV (PLWH) is not well understood.
  • Coronary artery calcium (CAC) serves as a key indicator of subclinical atherosclerosis.

Purpose of the Study:

  • To evaluate the performance of PRSCAD in assessing CAC among PLWH compared to people without HIV (PWOH).
  • To determine if PRSCAD improves CAD risk prediction when combined with existing risk calculators.

Main Methods:

  • A PRSCAD was applied to 1071 men in the Multicenter AIDS Cohort Study (MACS), stratified by HIV status, race, and genetic ancestry.
  • Performance was assessed using Agatston score (AS) for CAC, evaluating adjusted R2 and area under the curve (AUC).
  • Models were compared independently and jointly with the Pooled Cohort Equations (PCE).

Main Results:

  • PRSCAD significantly improved CAC prediction in non-Hispanic White men compared to baseline, but not when added to PCE.
  • Performance was lower in PLWH than PWOH, particularly for distinguishing high CAC from absent CAC.
  • PRSCAD demonstrated poorer performance in Black men compared to White men, with reduced accuracy in PLWH.

Conclusions:

  • The PRSCAD demonstrated lower predictive performance for CAC in PLWH compared to PWOH men.
  • Current PRSCAD models require further refinement for effective clinical utility in PLWH.
  • Development of tailored risk prediction models is crucial for improving cardiovascular health outcomes in individuals with HIV.
Abstract

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