Polygenic Background and Penetrance of Pathogenic Variants in Hypertrophic and Dilated Cardiomyopathies

Sarah A Abramowitz1,2, Lily Hoffman-Andrews3, David Zhang4,5

  • 1Department of Surgery, University of Pennsylvania Perelman School of Medicine, University of Pennsylvania, Philadelphia.

JAMA Cardiology
|December 23, 2025
PubMed

Insights

Polygenic background significantly influences hypertrophic cardiomyopathy (HCM) and dilated cardiomyopathy (DCM) risk, demonstrating opposing effects that modify disease susceptibility. Understanding polygenic scores may improve prediction of these inherited heart conditions.

Area of Science:

  • Cardiology
  • Genetics
  • Precision Medicine

Background:

  • Hypertrophic cardiomyopathy (HCM) and dilated cardiomyopathy (DCM) are distinct heart muscle diseases with complex genetic underpinnings.
  • Polygenic background is known to modify disease penetrance, but its bidirectional effect on HCM and DCM risk, particularly in relation to monogenic variants, remains unclear.

Purpose of the Study:

  • To investigate whether polygenic background bidirectionally modifies the pathogenicity of established rare variants associated with HCM and DCM.
  • To assess the interplay between polygenic susceptibility and monogenic risk in the development of opposing cardiomyopathies.

Main Methods:

  • Cross-sectional study utilizing data from the Penn Medicine BioBank (PMBB), including electronic health records and genotyping data from 49,434 participants.
  • Analysis involved normalized polygenic scores (PGSs) for HCM and DCM, carrier status for pathogenic variants, and echocardiogram measurements.
  • HCM and DCM were defined using diagnostic codes and echocardiographic parameters.

Main Results:

  • Increased HCM PGS was associated with features of HCM (e.g., increased interventricular septal thickness) and decreased risk of DCM.
  • Increased DCM PGS was associated with features of DCM (e.g., decreased ejection fraction) and decreased risk of HCM.
  • Polygenic risk scores significantly improved the prediction models for both HCM and DCM beyond age, sex, and monogenic variant status.

Conclusions:

  • Polygenic background plays a crucial role in modifying hypertrophic cardiomyopathy and dilated cardiomyopathy risk, operating on an overlapping yet opposing spectrum.
  • Incorporating polygenic risk scores into clinical assessments may enhance the understanding and prediction of inherited cardiomyopathies.
  • These findings highlight the clinical value of considering polygenic architecture in managing patients with cardiomyopathies.
Abstract

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