Evidence map›Paper›PMID 27066507›Full record

ArticleMolecular genetics & genomic medicine2016

Next generation sequencing-based copy number analysis reveals low prevalence of deletions and duplications in 46 genes associated with genetic cardiomyopathies.

Ozge Ceyhan-Birsoy, Trevor J Pugh, Mark J Bowser, Elizabeth Hynes, Ashley L Frisella, Lisa M Mahanta, Matt S Lebo, Sami S Amr, Birgit H Funke

Abstract read
In one paragraph

Article in Molecular genetics & genomic medicine, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
23citing papers in PubMed, 1 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

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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

23 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Genetic evaluation of cardiomyopathy: a clinical practice resource of the American College of Medical Genetics and Genomics (ACMG).Genetics in medicine : official journal of the American College of Medical Genetics · 2018
    Guideline
  2. Article
  3. The evaluation of copy number variants in an unselected population of patients with inherited cardiac conditions: the INTERACTION study.Europace : European pacing, arrhythmias, and cardiac electrophysiology : journal of the working groups on cardiac pacing, arrhythmias, and cardiac cellular electrophysiology of the European Society of Cardiology · 2026
    Article
  4. Genome-wide association testing beyond SNPs.Nature reviews. Genetics · 2025
    Review
  5. Review
  6. Article
  7. Article
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  10. Genes · 2022
    Article
  11. Article
  12. Review
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  14. Article
  15. Article
  16. Review
  17. Toward an effective exome-based genetic testing strategy in pediatric dilated cardiomyopathy.Genetics in medicine : official journal of the American College of Medical Genetics · 2018
    Article
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  19. Article
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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

9 authors.

Ozge Ceyhan-BirsoyLaboratory for Molecular MedicinePartners HealthCare Personalized MedicineCambridgeMassachusetts; Department of PathologyBrigham and Women's Hospital and Harvard Medical SchoolBostonMassachusetts.
Trevor J PughDepartment of Medical Biophysics Princess Margaret Cancer Centre University Health Network University of Toronto Toronto Ontario Canada.
Mark J BowserLaboratory for Molecular Medicine Partners HealthCare Personalized Medicine Cambridge Massachusetts.
Elizabeth HynesLaboratory for Molecular Medicine Partners HealthCare Personalized Medicine Cambridge Massachusetts.
Ashley L FrisellaLaboratory for Molecular Medicine Partners HealthCare Personalized Medicine Cambridge Massachusetts.
Lisa M MahantaLaboratory for Molecular Medicine Partners HealthCare Personalized Medicine Cambridge Massachusetts.
Matt S LeboLaboratory for Molecular MedicinePartners HealthCare Personalized MedicineCambridgeMassachusetts; Department of PathologyBrigham and Women's Hospital and Harvard Medical SchoolBostonMassachusetts.
Sami S AmrLaboratory for Molecular MedicinePartners HealthCare Personalized MedicineCambridgeMassachusetts; Department of PathologyBrigham and Women's Hospital and Harvard Medical SchoolBostonMassachusetts.
Birgit H FunkeLaboratory for Molecular MedicinePartners HealthCare Personalized MedicineCambridgeMassachusetts; Department of PathologyMassachusetts General Hospital and Harvard Medical SchoolBostonMassachusetts.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundDiagnostic testing for genetic cardiomyopathies has undergone dramatic changes in the last decade with next generation sequencing (NGS) expanding the number of genes that can be interrogated simultaneously. Exon resolution copy number analysis is increasingly incorporated into routine diagnostic testing via cytogenomic arrays and more recently via NGS. While NGS is an attractive option for laboratories that have no access to array platforms, its higher false positive rate requires weighing the added cost incurred by orthogonal confirmation against the magnitude of the increase in diagnostic yield. Although copy number variants (CNVs) have been reported in various cardiomyopathy genes, their contribution has not been systematically studied.

methodsWe performed single exon resolution NGS-based deletion/duplication analysis for up to 46 cardiomyopathy genes in >1400 individuals with cardiomyopathies including HCM, DCM, ARVC, RCM, and LVNC. RESULTS AND

conclusionClinically significant deletions and duplications were identified in only 9 of 1425 (0.63%) individuals. The majority of those (6/9) represented intragenic events. We conclude that the added benefit of exon level deletion/duplication analysis is low for currently known cardiomyopathy genes and may not outweigh the increased cost and complexity of incorporating it into routine diagnostic testing for these disorders.

Indexed as

CardiomyopathiesDNA copy number variantsgenetic heterogeneitymolecular diagnosticsnext‐generation sequencing

Identifiers

PMID27066507
PMCPMC4799872

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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.