Polygenic Risk Score Associates With Atherosclerotic Plaque Characteristics at Autopsy

Anne Cornelissen1,2, Neel V Gadhoke1, Kathleen Ryan3

  • 1CVPath Institute, Gaithersburg, MD (A.C., N.V.G., A.D., A.S., Y.S., R. Kawakami, M.M., K.K., R.F., S.K.B.G., R.B., B.A., R. Kutys, M.K., M.E.R., F.D.K., L.G., R.V., A.V.F.).

Insights

Polygenic risk scores (PRS) correlate with more severe coronary artery disease (CAD) atherosclerosis and plaque features. This PRS analysis in sudden death cases suggests its utility for CAD risk stratification, particularly in younger individuals.

Area of Science:

  • Cardiovascular Pathology
  • Genetics
  • Public Health

Background:

  • Polygenic risk scores (PRS) show potential for improving coronary artery disease (CAD) risk prediction.
  • Systematic examination of PRS in relation to histopathologic CAD features is lacking.

Purpose of the Study:

  • To investigate the association between PRS and histopathologic features of atherosclerosis in sudden death cases.
  • To evaluate the utility of PRS for CAD risk stratification.

Main Methods:

  • Generated PRS from 291 CAD risk loci in 954 individuals from sudden death cases.
  • Conducted detailed histopathologic examination of coronary arteries, assessing % stenosis, calcification, thin-cap fibroatheromas, and thrombosis.
  • Adjusted for traditional CAD risk factors in statistical analyses.

Main Results:

  • Subjects in the highest PRS quintile exhibited significantly greater % stenosis, calcification, and thin-cap fibroatheroma compared to the lowest quintile.
  • Higher PRS was associated with increased odds of severe atherosclerosis (≥75% stenosis) and plaque rupture, even after adjusting for covariates.
  • Elevated PRS correlated with higher odds of CAD-associated death, especially in individuals ≤50 years old.

Conclusions:

  • This is the first autopsy study linking PRS to histopathologic atherosclerosis severity.
  • PRS correlates with plaque burden and advanced atherosclerotic features.
  • PRS may serve as a valuable tool for CAD risk stratification, particularly in younger populations.
Abstract

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