Evidence map›Paper›PMID 40473955›Full record

ArticleNature cardiovascular research2025

Epistasis regulates genetic control of cardiac hypertrophy.

Qianru Wang, Tiffany M Tang, Michelle Youlton, Chad S Weldy, Ana M Kenney, Omer Ronen, J Weston Hughes, Elizabeth T Chin, Shirley C Sutton, Abhineet Agarwal and 14 more

Abstract read
In one paragraph

Article in Nature cardiovascular research, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing 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

10 citing papers in PubMed.

  1. Article
  2. ScalablebioRxiv : the preprint server for biology · 2026
    Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. A simplified MyProstateScore2.0 for high-grade prostate cancer.Cancer biomarkers : section A of Disease markers · 2025
    Article
  8. Connecting intermediate phenotypes to disease using multi-omics in heart failure.Pacific Symposium on Biocomputing. Pacific Symposium on Biocomputing · 2025
    Article
  9. Connecting intermediate phenotypes to disease using multi-omics in heart failure.medRxiv : the preprint server for health sciences · 2024
    Article
  10. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

24 authors.

Qianru Wang *Division of Cardiovascular Medicine, Department of Medicine, Stanford University, Stanford, CA, USA.ORCID http://orcid.org/0000-0002-7219-7522
Tiffany M Tang *Department of Statistics, University of California, Berkeley, Berkeley, CA, USA.
Michelle YoultonDivision of Cardiovascular Medicine, Department of Medicine, Stanford University, Stanford, CA, USA.
Chad S WeldyDivision of Cardiovascular Medicine, Department of Medicine, Stanford University, Stanford, CA, USA.ORCID http://orcid.org/0000-0003-4652-6422
Ana M KenneyDepartment of Statistics, University of California, Berkeley, Berkeley, CA, USA.
Omer RonenDepartment of Statistics, University of California, Berkeley, Berkeley, CA, USA.
J Weston HughesDepartment of Computer Science, Stanford University, Stanford, CA, USA.ORCID http://orcid.org/0000-0002-7042-4031
Elizabeth T ChinDivision of Cardiovascular Medicine, Department of Medicine, Stanford University, Stanford, CA, USA.
Shirley C SuttonDivision of Cardiovascular Medicine, Department of Medicine, Stanford University, Stanford, CA, USA.
Abhineet AgarwalDepartment of Statistics, University of California, Berkeley, Berkeley, CA, USA.
Xiao LiDepartment of Statistics, University of California, Berkeley, Berkeley, CA, USA.
Merle BehrFaculty of Informatics and Data Science, University of Regensburg, Regensburg, Germany.
Karl KumbierDepartment of Pharmaceutical Chemistry, University of California, San Francisco, San Francisco, CA, USA.
Christine S MoravecDepartment of Cardiovascular and Metabolic Sciences, Lerner Research Institute, Cleveland Clinic, Cleveland, OH, USA.
W H Wilson TangDepartment of Cardiovascular and Metabolic Sciences, Lerner Research Institute, Cleveland Clinic, Cleveland, OH, USA.ORCID http://orcid.org/0000-0002-8335-735X
Kenneth B MarguliesDivision of Cardiovascular Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA.ORCID http://orcid.org/0000-0002-8093-4465
Thomas P CappolaDivision of Cardiovascular Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA.
Atul J ButteBakar Computational Health Sciences Institute, University of California, San Francisco, San Francisco, CA, USA.ORCID http://orcid.org/0000-0002-7433-2740
Rima ArnaoutBakar Computational Health Sciences Institute, University of California, San Francisco, San Francisco, CA, USA.ORCID http://orcid.org/0000-0002-7134-0040
James B BrownDepartment of Statistics, University of California, Berkeley, Berkeley, CA, USA.
James R PriestDivision of Cardiovascular Medicine, Department of Medicine, Stanford University, Stanford, CA, USA.ORCID http://orcid.org/0000-0002-2505-617X
Victoria N ParikhDivision of Cardiovascular Medicine, Department of Medicine, Stanford University, Stanford, CA, USA.ORCID http://orcid.org/0000-0002-5138-5559
Bin YuDepartment of Statistics, University of California, Berkeley, Berkeley, CA, USA. binyu@berkeley.edu.
Euan A AshleyDivision of Cardiovascular Medicine, Department of Medicine, Stanford University, Stanford, CA, USA. euan@stanford.edu.ORCID http://orcid.org/0000-0001-9418-9577

Funding

Integrative genomics of human heart failureR01HL105993 · NHLBI · UNIVERSITY OF PENNSYLVANIA · PI ASHLEY, EUAN A, CAPPOLA, THOMAS P. · 2011 to 2014
$8.9M
Systematically mapping variant effects for cardiovascular genesR01HL164675 · NHLBI · VANDERBILT UNIVERSITY MEDICAL CENTER · PI ASHLEY, EUAN A, RODEN, DAN M · 2022 to 2025
$8.1M
Toward efficient performance for deep learning on medical imagingR01HL150394 · NHLBI · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI Rima Arnaout · 2020 to 2026
$6.2M
Structure function relationships from deep mutational scanning in human cardiomyopathyR01HL144843 · NHLBI · STANFORD UNIVERSITY · PI ASHLEY, EUAN A · 2020 to 2023
$2.8M
DMS/NIGMS 2: A Stability Driven Recommendation System for Efficient Disease Mechanistic DiscoveryR01GM152718 · NIGMS · UNIVERSITY OF CALIFORNIA BERKELEY · PI Bin Yu · 2023 to 2026
$1.2M
The Role of RBM20 Sequence and Expression in Dilated CardiomyopathiesK08HL143185 · NHLBI · STANFORD UNIVERSITY · PI PARIKH, VICTORIA · 2019 to 2023
$725k
ADAR mediated RNA editing is a causal mechanism in coronary artery diseaseK08HL167699 · NHLBI · STANFORD UNIVERSITY · PI Chad S Weldy · 2023 to 2026
$664k
A transcriptional network which governs smooth muscle transition is mediated by causal coronary artery disease gene PDGFDF32HL160067 · NHLBI · STANFORD UNIVERSITY · PI WELDY, CHAD S · 2021 to 2022
$135k
American Heart Association (American Heart Association, Inc.) 23CDA1042900American Heart Association (American Heart Association, Inc.) 23POST1023278National Science Foundation (NSF) DGE-2146752National Science Foundation (NSF) DMS-1613002National Science Foundation (NSF) IIS 1741340NHLBI NIH HHS F32 HL160067NHLBI NIH HHS K08 HL143185NHLBI NIH HHS K08 HL167699NHLBI NIH HHS L30 HL159413NHLBI NIH HHS R01 HL105993NHLBI NIH HHS R01 HL144843NHLBI NIH HHS R01 HL150394NHLBI NIH HHS R01 HL164675NIGMS NIH HHS R01 GM152718U.S. Department of Health & Human Services | National Institutes of Health (NIH) K08HL167699U.S. Department of Health & Human Services | National Institutes of Health (NIH) R01HL105993U.S. Department of Health & Human Services | NIH | National Heart, Lung, and Blood Institute (NHLBI) 1R01HL144843U.S. Department of Health & Human Services | NIH | National Heart, Lung, and Blood Institute (NHLBI) F32HL160067U.S. Department of Health & Human Services | NIH | National Heart, Lung, and Blood Institute (NHLBI) K08HL143185U.S. Department of Health & Human Services | NIH | National Heart, Lung, and Blood Institute (NHLBI) L30HL159413U.S. Department of Health & Human Services | NIH | National Institute of General Medical Sciences (NIGMS) R01GM152718
6 · The paper itself

Abstract

Although genetic variant effects often interact nonadditively, strategies to uncover epistasis remain in their infancy. Here we develop low-signal signed iterative random forests to elucidate the complex genetic architecture of cardiac hypertrophy, using deep learning-derived left ventricular mass estimates from 29,661 UK Biobank cardiac magnetic resonance images. We report epistatic variants near CCDC141, IGF1R, TTN and TNKS, identifying loci deemed insignificant in genome-wide association studies. Functional genomic and integrative enrichment analyses reveal that genes mapped from these loci share biological process gene ontologies and myogenic regulatory factors. Transcriptomic network analyses using 313 human hearts demonstrate strong co-expression correlations among these genes in healthy hearts, with significantly reduced connectivity in failing hearts. To assess causality, RNA silencing in human induced pluripotent stem cell-derived cardiomyocytes, combined with novel microfluidic single-cell morphology analysis, confirms that cardiomyocyte hypertrophy is nonadditively modifiable by interactions between CCDC141, TTN and IGF1R. Our results expand the scope of cardiac genetic regulation to epistasis.

Indexed as

Epistasis, GeneticHypertrophy, Left VentricularVentricular RemodelingAgedConnectinDeep LearningFemaleGene Regulatory NetworksGenetic Predisposition to DiseaseGenome-Wide Association StudyHeart FailureHumansInduced Pluripotent Stem CellsMagnetic Resonance ImagingMaleMiddle AgedConnectinIGF1R protein, humanReceptor, IGF Type 1TTN protein, human

Identifiers

PMID40473955
PMCPMC12170338

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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.