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Published on: August 8, 2022
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.
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.
Importance:
Polygenic background modifies variant penetrance in hypertrophic (HCM) and dilated (DCM) cardiomyopathies, diseases with opposing morphologic characteristics and inversely related genetic pathways. Whether polygenic susceptibility for one disease protects against monogenic risk for the other remains uncertain.
Objective:
To characterize if polygenic background bidirectionally modifies pathogenicity of established rare variants associated with HCM and DCM.
Design, Setting, And Participants:
This cross-sectional study was conducted using data from the Penn Medicine BioBank (PMBB). Volunteers enrolled in PMBB between November 1994 and July 2022 with available electronic health record and genotyping data through September 2024 were included. Analysis was performed in June 2025.
Exposures:
Normalized polygenic scores (PGSs) for HCM and DCM as well as carrier status of pathogenic variants in established HCM or DCM genes.
Main Outcomes And Measures:
HCM and DCM defined using electronic health record diagnosis and procedure codes, as well as echocardiogram measurements obtained from medical records.
Results:
This study included 49 434 PMBB participants (median (IQR) age, 57 [42-67] years; 24 886 male [50.3%]). An increased HCM PGS was associated with a 1.1% increase in left ventricular ejection fraction (LVEF; 95% CI, 0.9 to 1.3; P = 7.3 × 10-31), a 0.79-mm decrease in left ventricular internal diameter at end-diastole (LVIDd; 95% CI, -0.92 to -0.67; P = 2.3 × 10-36), and a 0.18-mm increase in interventricular septal (IVS) thickness (95% CI, 0.14 to 0.22; P = 9.3 × 10-19). A 1-SD increase in DCM PGS was associated with a 2.0% decrease in LVEF (95% CI, -2.2 to -1.8; P = 3.3 × 10-83) and a 1.0-mm increase in LVIDd (95% CI, 0.93 to 1.1; P = 3.2 × 10-78) and was not significantly associated with IVS (estimate, -1.3 × 10⁻3 mm; 95% CI, -0.04 to 0.03; P = .94). A 1-SD increase in HCM PGS was associated with an increased risk of HCM (odds ratio [OR], 1.8; 95% CI, 1.6-2.0; P = 9.6 × 10-25) and decreased risk of DCM (OR, 0.69; 95% CI, 0.64-0.74; P = 4.3 × 10-22). A 1-SD increase in DCM PGS was associated with an increased risk of DCM (OR, 1.6; 95% CI, 1.5-1.7; P = 1.7 × 10-40) and decreased risk of HCM (OR, 0.69; 95% CI, 0.63-0.76; P = 3.0 × 10-13). Monogenic and polygenic risk terms had significant independent effects when combined in models of disease status and echocardiographic measurements; the inclusion of either an HCM or DCM PGS improved the discrimination (area under the receiving operating characteristic curve) of models of HCM (0.043; 95% credible interval, 0.034-0.053) and DCM (0.045; 95% credible interval, 0.039-0.051) beyond models including age, sex, and monogenic variant status.
Conclusions And Relevance:
The findings in this study indicate that HCM and DCM risk were modified by polygenic background, which exists on an overlapping but opposing spectrum. Consideration of polygenic background may offer clinical value through improving understanding and prediction of these inherited cardiomyopathies.
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