Hypertrophic cardiomyopathy: a genome-wide association meta-analysis and polygenic risk score
BACKGROUND: Hypertrophic cardiomyopathy (HCM) is a heritable trait with marked variability in expression and outcomes. Our aims were to discover new genetic loci associated with HCM and to test the effect of a new polygenic risk score (PRS) on incidence, phenotype and outcomes stratified by genotype status. METHODS: A discovery genome-wide association study (GWAS) was performed on 2284 HCM cases and 4525 controls. Two fixed-effects meta-analyses combined our discovery GWAS with single-trait and multi-trait results from a published study. Discovered loci underwent comprehensive bioinformatic analysis including functional and druggability annotations. A PRS using loci from the two meta-analyses was evaluated for association with HCM diagnosis in 411 213 individuals from UK Biobank (UKBB); imaging phenotypes in individuals without HCM; a composite endpoint (including all-cause mortality and transplantation); and sudden cardiac death (SCD) in 1756 HCM cases. PRS analyses were stratified by genotype status. RESULTS: as a candidate HCM gene. A new PRS was significantly associated with HCM diagnosis (HR=3.19, 95% CI 2.46 to 4.14 for top 5% vs lower 95%; HR=1.88, 95% CI 1.72 to 2.06 per SD increase). Significant associations were found between PRS and greater left ventricular (LV) wall thickness and higher LV ejection fraction in UKBB participants without HCM. Genotype-negative HCM cases in the top 20% of the PRS distribution had an increased risk of SCD (HR=2.72, 95% CI 1.03 to 7.17). CONCLUSIONS: We report novel HCM loci. A new PRS predicted the risk of HCM development and associated imaging characteristics in the UKBB and outcomes in an HCM cohort.
Authors
- Perry Elliott (ORCID: https://orcid.org/0000-0003-3383-3984)
- Joanna Jager (ORCID: https://orcid.org/0000-0003-2290-0838)
- Alexandros Protonotarios (ORCID: https://orcid.org/0000-0001-8595-7212)
- Kayesha Coley (ORCID: https://orcid.org/0000-0003-4951-6799)
- José Larrañaga
- Chiara Batini (ORCID: https://orcid.org/0000-0002-7140-2985)
- Stefan van Duijvenboden (ORCID: https://orcid.org/0000-0001-8897-558X)
- Massimiliano Lorenzini (ORCID: https://orcid.org/0000-0002-1831-7853)
- M. M. Akhtar
- Roberto Barriales-Villa
- H Nicholls
- Martin Tobin
- Gerald Sze
- Catherine John
- Luis R Lopes
- Cayetana Barbeito
- Patricia B. Munroe (ORCID: https://orcid.org/0000-0002-4176-2947)
- Richard Burns (ORCID: https://orcid.org/0000-0001-8526-5603)
- Nay Aung
- Steffen Erhard Petersen (ORCID: https://orcid.org/0000-0003-4622-5160)
- Petros Syrris
Institutions
- St Bartholomew's Hospital (GB)
- University of Leicester (GB)
- Queen Mary University of London (GB)
- King's College London (GB)
- University Hospitals of Leicester NHS Trust (GB)
- Harefield Hospital (GB)
- University of Oxford (GB)
- William Harvey Research Institute (GB)
- Instituto de Investigación Biomédica de A Coruña (ES)
- University College London (GB)
Publication Details
- Journal
- Journal of Medical Genetics
- Published
- 2026-09-04
- DOI
- https://doi.org/10.1136/jmg-2026-111722
- Primary Topic
- Genetic Associations and Epidemiology
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- Wellcome Trust
- UK Space Agency
- Barts Charity
- National Institute for Health and Care Research
- University of Leicester
- Medical Research Council