Evidence map›Paper›PMID 28771489›Full record

ArticlePloS one2017

Additional value of screening for minor genes and copy number variants in hypertrophic cardiomyopathy.

Irene Mademont-Soler, Jesus Mates, Raquel Yotti, Maria Angeles Espinosa, Alexandra Pérez-Serra, Ana Isabel Fernandez-Avila, Monica Coll, Irene Méndez, Anna Iglesias, Bernat Del Olmo and 17 more

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
29citing papers in PubMed, 1 pooled it
4.1field-weighted citation impact, top 5% of its field
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

29 citing papers in PubMed, 1 synthesis or guideline pooled it, 60 citations in OpenAlex.

  1. Pooled it
  2. Review
  3. Article
  4. Review
  5. Review
  6. Review
  7. Article
  8. Novel Copy Number Deletion InvolvingClinical case reports · 2025
    Article
  9. Review
  10. Article
  11. Article
  12. Article
  13. A case ofClinical case reports · 2024
    Article
  14. Article
  15. Article
  16. Environmental changes surrounding congenital heart disease.Clinical and experimental pediatrics · 2023
    Article
  17. Review
  18. Article
  19. Review
  20. 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

27 authors at 6 institutions in 1 country.

Irene Mademont-SolerCardiovascular Genetics Center, University of Girona-IDIBGI, Girona, Spain.
Jesus MatesCardiovascular Genetics Center, University of Girona-IDIBGI, Girona, Spain.ORCID http://orcid.org/0000-0002-3822-745X
Raquel YottiCentro de Investigación Biomédica en Red de Enfermedades Cardiovasculares (CIBERCV), Madrid, Spain.
Maria Angeles EspinosaCentro de Investigación Biomédica en Red de Enfermedades Cardiovasculares (CIBERCV), Madrid, Spain.
Alexandra Pérez-SerraCardiovascular Genetics Center, University of Girona-IDIBGI, Girona, Spain.
Ana Isabel Fernandez-AvilaCentro de Investigación Biomédica en Red de Enfermedades Cardiovasculares (CIBERCV), Madrid, Spain.
Monica CollCardiovascular Genetics Center, University of Girona-IDIBGI, Girona, Spain.
Irene MéndezCentro de Investigación Biomédica en Red de Enfermedades Cardiovasculares (CIBERCV), Madrid, Spain.
Anna IglesiasCardiovascular Genetics Center, University of Girona-IDIBGI, Girona, Spain.
Bernat Del OlmoCardiovascular Genetics Center, University of Girona-IDIBGI, Girona, Spain.
Helena RiuróCardiovascular Genetics Center, University of Girona-IDIBGI, Girona, Spain.
Sofía CuencaCentro de Investigación Biomédica en Red de Enfermedades Cardiovasculares (CIBERCV), Madrid, Spain.
Catarina AllegueCardiovascular Genetics Center, University of Girona-IDIBGI, Girona, Spain.
Oscar CampuzanoCardiovascular Genetics Center, University of Girona-IDIBGI, Girona, Spain.
Ferran PicóCardiovascular Genetics Center, University of Girona-IDIBGI, Girona, Spain.
Carles Ferrer-CostaGendiag.exe SL, Barcelona, Spain.
Patricia ÁlvarezGendiag.exe SL, Barcelona, Spain.
Sergio CastilloGendiag.exe SL, Barcelona, Spain.
Pablo Garcia-PaviaCentro de Investigación Biomédica en Red de Enfermedades Cardiovasculares (CIBERCV), Madrid, Spain.
Esther Gonzalez-LopezCentro de Investigación Biomédica en Red de Enfermedades Cardiovasculares (CIBERCV), Madrid, Spain.
Laura Padron-BartheCentro de Investigación Biomédica en Red de Enfermedades Cardiovasculares (CIBERCV), Madrid, Spain.
Aranzazu Díaz de BustamanteGenetics Unit, Hospital Universitario de Móstoles, Madrid, Spain.
María Teresa DarnaudeGenetics Unit, Hospital Universitario de Móstoles, Madrid, Spain.
José Ignacio González-HeviaHospital Universitario Miguel Servet, Zaragoza, Spain.
Josep BrugadaCentro de Investigación Biomédica en Red de Enfermedades Cardiovasculares (CIBERCV), Madrid, Spain.
Francisco Fernandez-AvilesCentro de Investigación Biomédica en Red de Enfermedades Cardiovasculares (CIBERCV), Madrid, Spain.
Ramon BrugadaCardiovascular Genetics Center, University of Girona-IDIBGI, Girona, Spain.
Universitat de Girona · ESHospital General Universitario Gregorio Marañón · ESUniversidad Francisco de Vitoria · ESHospital Universitario de Móstoles · ESCentro de Investigación en Red en Enfermedades Cardiovasculares · ESHospital Universitario Miguel Servet · ES

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionHypertrophic cardiomyopathy (HCM) is the most prevalent inherited heart disease. Next-generation sequencing (NGS) is the preferred genetic test, but the diagnostic value of screening for minor and candidate genes, and the role of copy number variants (CNVs) deserves further evaluation.

methodsThree hundred and eighty-seven consecutive unrelated patients with HCM were screened for genetic variants in the 5 most frequent genes (MYBPC3, MYH7, TNNT2, TNNI3 and TPM1) using Sanger sequencing (N = 84) or NGS (N = 303). In the NGS cohort we analyzed 20 additional minor or candidate genes, and applied a proprietary bioinformatics algorithm for detecting CNVs. Additionally, the rate and classification of TTN variants in HCM were compared with 427 patients without structural heart disease.

resultsThe percentage of patients with pathogenic/likely pathogenic (P/LP) variants in the main genes was 33.3%, without significant differences between the Sanger sequencing and NGS cohorts. The screening for 20 additional genes revealed LP variants in ACTC1, MYL2, MYL3, TNNC1, GLA and PRKAG2 in 12 patients. This approach resulted in more inconclusive tests (36.0% vs. 9.6%, p<0.001), mostly due to variants of unknown significance (VUS) in TTN. The detection rate of rare variants in TTN was not significantly different to that found in the group of patients without structural heart disease. In the NGS cohort, 4 patients (1.3%) had pathogenic CNVs: 2 deletions in MYBPC3 and 2 deletions involving the complete coding region of PLN.

conclusionsA small percentage of HCM cases without point mutations in the 5 main genes are explained by P/LP variants in minor or candidate genes and CNVs. Screening for variants in TTN in HCM patients drastically increases the number of inconclusive tests, and shows a rate of VUS that is similar to patients without structural heart disease, suggesting that this gene should not be analyzed for clinical purposes in HCM.

Indexed as

DNA Copy Number VariationsGenetic TestingHigh-Throughput Nucleotide SequencingBase SequenceCalcium-Binding ProteinsCardiomyopathy, HypertrophicCarrier ProteinsCohort StudiesConnectinFemaleHeterozygoteHumansMaleMiddle AgedMyosin Binding Protein CPhospholambanCalcium-Binding ProteinsCarrier ProteinsConnectinMyosin Binding Protein CPhospholambanTTN protein, human

Identifiers

PMID28771489
PMCPMC5542623
OpenAlexW2742252256

What OpenQuestion holds

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LicenceCC BY
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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.