Evidence map›Paper›PMID 27896284›Full record

ArticleMolecular genetics & genomic medicine2016

Analyses of more than 60,000 exomes questions the role of numerous genes previously associated with dilated cardiomyopathy.

Nina Nouhravesh, Gustav Ahlberg, Jonas Ghouse, Charlotte Andreasen, Jesper H Svendsen, Stig Haunsø, Henning Bundgaard, Peter E Weeke, Morten S Olesen

Open access · goldAbstract 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 21 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed, 1 pooled it
3.4field-weighted citation impact, top 7% 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

21 citing papers in PubMed, 1 synthesis or guideline pooled it, 32 citations in OpenAlex.

  1. Pooled it
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  5. Review
  6. The genetic architecture of pediatric cardiomyopathy.American journal of human genetics · 2022
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  18. Genetics of paediatric cardiomyopathies.Current opinion in pediatrics · 2017
    Review
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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 at 2 institutions in 1 country.

Nina NouhraveshLaboratory of Molecular Cardiology Department of Cardiology The Heart Centre University Hospital of Copenhagen Rigshospitalet Copenhagen Denmark.
Gustav AhlbergLaboratory of Molecular Cardiology Department of Cardiology The Heart Centre University Hospital of Copenhagen Rigshospitalet Copenhagen Denmark.
Jonas GhouseLaboratory of Molecular Cardiology Department of Cardiology The Heart Centre University Hospital of Copenhagen Rigshospitalet Copenhagen Denmark.
Charlotte AndreasenLaboratory of Molecular Cardiology Department of Cardiology The Heart Centre University Hospital of Copenhagen Rigshospitalet Copenhagen Denmark.
Jesper H SvendsenLaboratory of Molecular CardiologyDepartment of CardiologyThe Heart CentreUniversity Hospital of CopenhagenRigshospitaletCopenhagenDenmark; Department of Clinical MedicineFaculty of Medicine and Health SciencesUniversity of CopenhagenCopenhagenDenmark.
Stig HaunsøLaboratory of Molecular Cardiology Department of Cardiology The Heart Centre University Hospital of Copenhagen Rigshospitalet Copenhagen Denmark.
Henning BundgaardUnit for Inherited Cardiac Diseases The Heart Center National University Hospitals Rigshospitalet Copenhagen Denmark.
Peter E WeekeLaboratory of Molecular Cardiology Department of Cardiology The Heart Centre University Hospital of Copenhagen Rigshospitalet Copenhagen Denmark.
Morten S OlesenLaboratory of Molecular Cardiology Department of Cardiology The Heart Centre University Hospital of Copenhagen Rigshospitalet Copenhagen Denmark.
Copenhagen University Hospital · DKRigshospitalet · DK

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundHundreds of genetic variants have been described as disease causing in dilated cardiomyopathy (DCM). Some of these associations are now being questioned. We aimed to identify the prevalence of previously DCM associated variants in the Exome Aggregation Consortium (ExAC), in order to identify potentially false-positive DCM variants.

methodsVariants listed as DCM disease-causing variants in the Human Gene Mutation Database were extracted from ExAC. Pathogenicity predictions for these variants were mined from dbNSFP v 2.9 database.

resultsOf the 473 DCM variants listed in HGMD, 148 (31%) were found in ExAC. The expected number of individuals with DCM in ExAC is 25 based on the prevalence in the general population. Yet, 35 variants were found in more than 25 individuals. In 13 genes, we identified all variants previously associated with DCM; four genes contained variants above our estimated cut-off. Prediction tools found ExAC variants to be significantly more tolerated when compared to variants not found in ExAC (

conclusionIn ExAC, we identified a higher genotype prevalence of variants considered disease-causing than expected. More importantly, we found 13 genes in which all variants previously associated with DCM were identified in ExAC, questioning the association of these genes with the monogenic form of DCM.

Indexed as

Exomefalse‐positive variantsfamilial dilated cardiomyopathynext‐generation sequencingNGS

Identifiers

PMID27896284
PMCPMC5118206
OpenAlexW2521040031

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.