MétaCan
Menu
Back to cohort
Record W4407674910 · doi:10.1038/s41588-025-02087-4

Large-scale genome-wide association analyses identify novel genetic loci and mechanisms in hypertrophic cardiomyopathy

2025· article· en· W4407674910 on OpenAlexafffund
Rafik Tadros, Sean L. Zheng, Christopher Grace, Paloma Jordà, Catherine Francis, Dominique M West, Sean J. Jurgens, Kate Thomson, Andrew R. Harper, Elizabeth Ormondroyd, Xiao Yun Xu, Pantazis Theotokis, Rachel Buchan, Kathryn A. McGurk, Francesco Mazzarotto, Beatrice Boschi, Elisabetta Pelo, Michael Lee, Michela Noseda, Amanda Varnava, Alexa M.C. Vermeer, Roddy Walsh, Ahmad S. Amin, Marjon A. van Slegtenhorst, Nicole M. Roslin, Lisa J. Strug, Erika Salvi, Chiara Lanzani, Antonio de Marvao, Jason D. Roberts, Maxime Tremblay‐Gravel, Geneviève Giraldeau, Julia Cadrin‐Tourigny, Patrick Garceau, Mario Talajic, Sarah A. Gagliano Taliun, Yigal M. Pinto, Harry Rakowski, Antonis Pantazis, Wenjia Bai, John Baksi, Brian P. Halliday, Sanjay Prasad, Paul J.R. Barton, Stuart A. Cook, Rudolf A. de Boer, Imke Christiaans, Michelle Michels, Christopher M. Kramer, Carolyn Y. Ho, Stefan Neubauer, Paul M. Matthews, Arthur A.M. Wilde, Jean‐Claude Tardif, Iacopo Olivotto, Arnon Adler, Anuj Goel, James S. Ware, Connie R. Bezzina, Hugh Watkins

Bibliographic record

VenueNature Genetics · 2025
Typearticle
Languageen
FieldMedicine
TopicCardiomyopathy and Myosin Studies
Canadian institutionsLibin Cardiovascular Institute of AlbertaUniversity of CalgaryMcGill UniversityWestern UniversityHospital for Sick ChildrenPublic Health OntarioUniversity Health NetworkUniversity of TorontoUniversité de MontréalMontreal Heart Institute
FundersNational Cancer InstituteNIH Office of the DirectorNational Institute of Mental HealthCanadian Institutes of Health ResearchAmsterdam Cardiovascular Sciences, Amsterdam University Medical CentersNational Institutes of HealthNational Human Genome Research InstituteAmsterdam University Medical CentersUK Dementia Research InstituteNovo Nordisk FondenInstitut de Cardiologie de MontréalInstitute of Psychiatry, Psychology and Neuroscience, King’s College LondonFondation Institut de Cardiologie de MontréalZonMwHartstichtingCommon FundDeutsches Zentrum für Herz-KreislaufforschungImperial College LondonNational Institute on Drug AbuseNovo NordiskFetal Medicine FoundationNational Institute for Health and Care ResearchMedical Research CouncilIsrael Cancer Research FundDepartment of Health and Social CareFondation LeducqKing's College LondonEuropean CommissionNational Institute of Neurological Disorders and StrokeBritish Heart FoundationCancer Research UKWellcome TrustAlzheimer's SocietyNational Heart, Lung, and Blood InstituteMaudsley CharityU.S. Department of Health and Human Services
KeywordsHypertrophic cardiomyopathyMendelian randomizationGenome-wide association studyBiologyDiseaseGeneticsGenetic associationCardiomyopathyBiobankGeneInternal medicineSingle-nucleotide polymorphismGenotypeGenetic variantsHeart failureMedicine

Abstract

fetched live from OpenAlex

Hypertrophic cardiomyopathy (HCM) is an important cause of morbidity and mortality with both monogenic and polygenic components. Here, we report results from a large genome-wide association study and multitrait analysis including 5,900 HCM cases, 68,359 controls and 36,083 UK Biobank participants with cardiac magnetic resonance imaging. We identified 70 loci (50 novel) associated with HCM and 62 loci (20 novel) associated with relevant left ventricular traits. Among the prioritized genes in the HCM loci, we identify a novel HCM disease gene, SVIL, which encodes the actin-binding protein supervillin, showing that rare truncating SVIL variants confer a roughly tenfold increased risk of HCM. Mendelian randomization analyses support a causal role of increased left ventricular contractility in both obstructive and nonobstructive forms of HCM, suggesting common disease mechanisms and anticipating shared response to therapy. Taken together, these findings increase our understanding of the genetic basis of HCM, with potential implications for disease management.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.043
Threshold uncertainty score0.927

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.013
GPT teacher head0.297
Teacher spread0.284 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations52
Published2025
Admission routes2
Has abstractyes

Explore more

Same venueNature GeneticsSame topicCardiomyopathy and Myosin StudiesFrench-language works237,207