Evidence map›Paper›PMID 37652022›Full record

ArticleAmerican journal of human genetics2023

The penetrance of rare variants in cardiomyopathy-associated genes: A cross-sectional approach to estimating penetrance for secondary findings.

Kathryn A McGurk, Xiaolei Zhang, Pantazis Theotokis, Kate Thomson, Andrew Harper, Rachel J Buchan, Erica Mazaika, Elizabeth Ormondroyd, William T Wright, Daniela Macaya and 13 more

Abstract read
In one paragraph

Article in American journal of human genetics, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 43 papers.

0numbers the graph read from it
0cells of the map it votes in
43citing 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

43 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. Article
  5. Article
  6. Review
  7. Article
  8. Review
  9. Population Prevalence, Penetrance, and Mortality for Genetically Confirmed MODY.The Journal of clinical endocrinology and metabolism · 2026
    Article
  10. Observational
  11. Structural Evaluation ofCirculation. Genomic and precision medicine · 2026
    Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. What Should a Clinical Cardiologist Know About Cardiogenetics?Journal of the American Heart Association · 2025
    Review
  17. Article
  18. Article
  19. Article
  20. Genetic risk in telomere biology disorders: it adds up.The Journal of clinical investigation · 2025
    Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

23 authors.

Kathryn A McGurkNational Heart and Lung Institute, Imperial College London, London, UK; MRC London Institute of Medical Sciences, Imperial College London, London, UK.
Xiaolei ZhangNational Heart and Lung Institute, Imperial College London, London, UK.
Pantazis TheotokisNational Heart and Lung Institute, Imperial College London, London, UK; MRC London Institute of Medical Sciences, Imperial College London, London, UK.
Kate ThomsonDivision of Cardiovascular Medicine, Radcliffe Department of Medicine and the Wellcome Trust Centre for Human Genetics, University of Oxford, Oxford, UK.
Andrew HarperDivision of Cardiovascular Medicine, Radcliffe Department of Medicine and the Wellcome Trust Centre for Human Genetics, University of Oxford, Oxford, UK.
Rachel J BuchanNational Heart and Lung Institute, Imperial College London, London, UK; MRC London Institute of Medical Sciences, Imperial College London, London, UK; Royal Brompton & Harefield Hospitals, Guy's and St. Thomas' NHS Foundation Trust, London, UK.
Erica MazaikaNational Heart and Lung Institute, Imperial College London, London, UK.
Elizabeth OrmondroydDivision of Cardiovascular Medicine, Radcliffe Department of Medicine and the Wellcome Trust Centre for Human Genetics, University of Oxford, Oxford, UK.
William T WrightNorthern Ireland Regional Genetics Centre, Belfast Health and Social Care Trust, Belfast City Hospital, Belfast, Northern Ireland, UK.
Daniela MacayaGeneDx LLC, Gaithersburg, MD, USA.
Chee Jian PuaNational Heart Research Institute Singapore and Duke-National University of Singapore, Singapore, Singapore.
Birgit FunkeLaboratory for Molecular Medicine, Partners Healthcare Center for Personalized Genetic Medicine, Boston, MA, USA.
Daniel G MacArthurCentre for Population Genomics, Garvan Institute of Medical Research and UNSW, Sydney, NSW, Australia; Centre for Population Genomics, Murdoch Children's Research Institute, Melbourne, VIC, Australia.
Sanjay K PrasadNational Heart and Lung Institute, Imperial College London, London, UK; Royal Brompton & Harefield Hospitals, Guy's and St. Thomas' NHS Foundation Trust, London, UK.
Stuart A CookMRC London Institute of Medical Sciences, Imperial College London, London, UK; National Heart Research Institute Singapore and Duke-National University of Singapore, Singapore, Singapore.
Mona AlloubaNational Heart and Lung Institute, Imperial College London, London, UK; Aswan Heart Centre, Aswan, Egypt.
Yasmine AguibNational Heart and Lung Institute, Imperial College London, London, UK; Aswan Heart Centre, Aswan, Egypt.
Magdi H YacoubNational Heart and Lung Institute, Imperial College London, London, UK; Royal Brompton & Harefield Hospitals, Guy's and St. Thomas' NHS Foundation Trust, London, UK; Aswan Heart Centre, Aswan, Egypt.
Declan P O'ReganMRC London Institute of Medical Sciences, Imperial College London, London, UK.
Paul J R BartonNational Heart and Lung Institute, Imperial College London, London, UK; MRC London Institute of Medical Sciences, Imperial College London, London, UK; Royal Brompton & Harefield Hospitals, Guy's and St. Thomas' NHS Foundation Trust, London, UK.
Hugh WatkinsDivision of Cardiovascular Medicine, Radcliffe Department of Medicine and the Wellcome Trust Centre for Human Genetics, University of Oxford, Oxford, UK.
Leonardo BottoloDepartment of Medical Genetics, University of Cambridge, Cambridge, UK; The Alan Turing Institute, London, UK; MRC Biostatistics Unit, University of Cambridge, Cambridge, UK.
James S WareNational Heart and Lung Institute, Imperial College London, London, UK; MRC London Institute of Medical Sciences, Imperial College London, London, UK; Royal Brompton & Harefield Hospitals, Guy's and St. Thomas' NHS Foundation Trust, London, UK. Electronic address: j.ware@imperial.ac.uk.

Funding

British Heart Foundation BBC/F/21/220106British Heart Foundation FS/IPBSRF/22/27059British Heart Foundation RE/18/4/34215British Heart Foundation RG/18/9/33887British Heart Foundation RG/19/6/34387Department of HealthMedical Research Council MC-A658-5TY00Medical Research Council MC_U120085815Medical Research Council MC_UP_1102/20Medical Research Council MC_UP_1605/13Wellcome TrustWellcome Trust 107469/Z/15/ZWellcome Trust 200990/A/16/Z
6 · The paper itself

Abstract

Understanding the penetrance of pathogenic variants identified as secondary findings (SFs) is of paramount importance with the growing availability of genetic testing. We estimated penetrance through large-scale analyses of individuals referred for diagnostic sequencing for hypertrophic cardiomyopathy (HCM; 10,400 affected individuals, 1,332 variants) and dilated cardiomyopathy (DCM; 2,564 affected individuals, 663 variants), using a cross-sectional approach comparing allele frequencies against reference populations (293,226 participants from UK Biobank and gnomAD). We generated updated prevalence estimates for HCM (1:543) and DCM (1:220). In aggregate, the penetrance by late adulthood of rare, pathogenic variants (23% for HCM, 35% for DCM) and likely pathogenic variants (7% for HCM, 10% for DCM) was substantial for dominant cardiomyopathy (CM). Penetrance was significantly higher for variant subgroups annotated as loss of function or ultra-rare and for males compared to females for variants in HCM-associated genes. We estimated variant-specific penetrance for 316 recurrent variants most likely to be identified as SFs (found in 51% of HCM- and 17% of DCM-affected individuals). 49 variants were observed at least ten times (14% of affected individuals) in HCM-associated genes. Median penetrance was 14.6% (±14.4% SD). We explore estimates of penetrance by age, sex, and ancestry and simulate the impact of including future cohorts. This dataset reports penetrance of individual variants at scale and will inform the management of individuals undergoing genetic screening for SFs. While most variants had low penetrance and the costs and harms of screening are unclear, some individuals with highly penetrant variants may benefit from SFs.

Indexed as

CardiomyopathiesCardiomyopathy, DilatedCardiomyopathy, HypertrophicAdultFemaleGene FrequencyHumansMalePenetrancecardiomyopathypenetranceprevalencesecondary findings

Identifiers

PMID37652022
PMCPMC10502871

What OpenQuestion holds

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Registered trials

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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.