Heart failure & cardiomyopathiesCross-sectional study

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

JAMA CardiolPublished

  • Cross-sectional study

Authors' conclusion

The findings in this study indicate that HCM and DCM risk were modified by polygenic background, which exists on an overlapping but opposing spectrum.

Study context

Population
Penn Medicine BioBank participants with EHR and genotyping data
Participants
49,434 participants
Exposure
HCM and DCM polygenic scores and pathogenic variant carrier status
Outcome
HCM and DCM defined by EHR diagnosis and procedure codes, and echocardiogram measurements

Main finding

As reported in the abstract

Odds ratio (95% CI)P value
HCM PGS (per 1-SD increase)risk of HCM
1.8(1.6–2.0)
P = 9.6 × 10-25
HCM PGS (per 1-SD increase)risk of DCM
0.69(0.64–0.74)
P = 4.3 × 10-22
DCM PGS (per 1-SD increase)risk of DCM
1.6(1.5–1.7)
P = 1.7 × 10-40
DCM PGS (per 1-SD increase)risk of HCM
0.69(0.63–0.76)
P = 3.0 × 10-13

Per 1-SD increase, as printed

Observational data: associations, not effects.

Further findings

Echocardiographic measures, HCM PGS

Comparisonincrease (%) (95% CI)P value
HCM PGS (increase) · LVEF1.1 (0.9–1.3)P = 7.3 × 10-31

Echocardiographic measures, HCM PGS

Comparisonincrease (mm) (95% CI)P value
HCM PGS (increase) · IVS thickness0.18 (0.14–0.22)P = 9.3 × 10-19
Outcomeincrease (mm) (95% CI)P value
Echocardiographic measures, DCM PGS (per 1-SD increase) — DCM PGS (per 1-SD increase) · LVIDd1.0 (0.93–1.1)P = 3.2 × 10-78
OutcomeEstimateP value
Echocardiographic measures, HCM PGS — HCM PGS (increase) · LVIDddecrease 0.79 mm (95% CI −0.92 to −0.67)P = 2.3 × 10-36
Echocardiographic measures, DCM PGS (per 1-SD increase) — DCM PGS (per 1-SD increase) · LVEFdecrease 2.0 % (95% CI −2.2 to −1.8)P = 3.3 × 10-83
Echocardiographic measures, DCM PGS (per 1-SD increase) — DCM PGS (per 1-SD increase) · IVS; not significantestimate −1.3 × 10⁻3 mm (95% CI −0.04 to 0.03)P = 0.94
Discrimination (AUC) gain from adding HCM or DCM PGS to age, sex and monogenic variant status — Model with PGS vs Model with age, sex, monogenic status · HCM; CrIAUC improvement 0.043 (95% CI 0.034–0.053)
Discrimination (AUC) gain from adding HCM or DCM PGS to age, sex and monogenic variant status — Model with PGS vs Model with age, sex, monogenic status · DCM; CrIAUC improvement 0.045 (95% CrI 0.039–0.051)

Discrimination (AUC) gain from adding HCM or DCM PGS to age, sex and monogenic variant status

Monogenic and polygenic risk terms had significant independent effects in combined models

Original publication

Polygenic Background and Penetrance of Pathogenic Variants in Hypertrophic and Dilated Cardiomyopathies. JAMA Cardiol. Published 1 February 2026. doi:10.1001/jamacardio.2025.4739

Summarised from the published abstract; every number is checked against it