Evidence map›Paper›PMID 41433035›Full record

ArticleJAMA cardiology2026

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

Sarah A Abramowitz, Lily Hoffman-Andrews, David Zhang, Renae Judy, Thomas P Cappola, Sharlene M Day, Nosheen Reza, Anjali T Owens, Scott M Damrauer, Michael G Levin and 1 more

Abstract read
In one paragraph

Article in JAMA cardiology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

  1. Review
  2. Polygenic risk scores for cardiovascular disease: clinical utility and limitations.The Egyptian heart journal : (EHJ) : official bulletin of the Egyptian Society of Cardiology · 2026
    Review
  3. Review
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

11 authors.

Sarah A AbramowitzDepartment of Surgery, University of Pennsylvania Perelman School of Medicine, University of Pennsylvania, Philadelphia.
Lily Hoffman-AndrewsCenter for Inherited Cardiovascular Disease, Division of Cardiology, Hospital of the University of Pennsylvania, Philadelphia.
David ZhangCardiovascular Institute, University of Pennsylvania Perelman School of Medicine, University of Pennsylvania, Philadelphia.
Renae JudyDepartment of Surgery, University of Pennsylvania Perelman School of Medicine, University of Pennsylvania, Philadelphia.
Thomas P CappolaCardiovascular Institute, University of Pennsylvania Perelman School of Medicine, University of Pennsylvania, Philadelphia.
Sharlene M DayCenter for Inherited Cardiovascular Disease, Division of Cardiology, Hospital of the University of Pennsylvania, Philadelphia.
Nosheen RezaCenter for Inherited Cardiovascular Disease, Division of Cardiology, Hospital of the University of Pennsylvania, Philadelphia.
Anjali T OwensCenter for Inherited Cardiovascular Disease, Division of Cardiology, Hospital of the University of Pennsylvania, Philadelphia.
Scott M DamrauerDepartment of Surgery, University of Pennsylvania Perelman School of Medicine, University of Pennsylvania, Philadelphia.
Michael G LevinCardiovascular Institute, University of Pennsylvania Perelman School of Medicine, University of Pennsylvania, Philadelphia.
Penn Medicine BioBank

Funding

Phenotypic Diversity in COVID-19UL1TR001878 · NCATS · UNIVERSITY OF PENNSYLVANIA · PI FITZGERALD, GARRET A · 2016 to 2025
$102.4M
Methods for Enhancing Polygenic Risk Prediction Models for Complex DiseaseR01HL169458 · NHLBI · UNIVERSITY OF PENNSYLVANIA · PI Dokyoon Kim, MARYLYN D RITCHIE · 2023 to 2026
$3.1M
Missense Variants in Myosin Binding Protein C that Cause Hypertrophic CardiomyopathyR01HL167524 · NHLBI · UNIVERSITY OF PENNSYLVANIA · PI Sharlene M Day · 2023 to 2026
$2.8M
Risk Alleles in Protein Quality Control Genes as Modifiers of Hypertrophic CardiomyopathyR01HL168841 · NHLBI · UNIVERSITY OF PENNSYLVANIA · PI Sharlene M Day · 2024 to 2026
$2.2M
SGLT-inhibitors in patients with hypertrophic cardiomyopathyR33HL164376 · NHLBI · UNIVERSITY OF PENNSYLVANIA · PI Sharlene M Day · 2024 to 2026
$2.0M
Improving the Detection of Hypertrophic Cardiomyopathy Using Machine Learning Applied to Electronic Health Record DataK23HL166961 · NHLBI · UNIVERSITY OF PENNSYLVANIA · PI Nosheen Reza · 2023 to 2026
$691k
SGLT-inhibitors in patients with hypertrophic cardiomyopathyR61HL164376 · NHLBI · UNIVERSITY OF PENNSYLVANIA · PI DAY, SHARLENE M · 2023 to 2023
$371k
BLRD VA IK2 BX006551NCATS NIH HHS UL1 TR001878NHLBI NIH HHS K23 HL166961NHLBI NIH HHS R01 HL167524NHLBI NIH HHS R01 HL168841NHLBI NIH HHS R01 HL169458NHLBI NIH HHS R33 HL164376NHLBI NIH HHS R61 HL164376
6 · The paper itself

Abstract

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.

Indexed as

Cardiomyopathy, DilatedCardiomyopathy, HypertrophicMultifactorial InheritancePenetranceAdultAgedCross-Sectional StudiesEchocardiographyFemaleGenetic Predisposition to DiseaseHumansMaleMiddle AgedStroke Volume

Identifiers

PMID41433035
PMCPMC12728730

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.