Evidence map›Paper›PMID 25634555›Full record

ReviewCardiovascular research2015

Genetic advances in sarcomeric cardiomyopathies: state of the art.

Carolyn Y Ho, Philippe Charron, Pascale Richard, Francesca Girolami, Karin Y Van Spaendonck-Zwarts, Yigal Pinto

Abstract readReview
In one paragraph

Review in Cardiovascular research, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 117 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
117citing papers in PubMed, 3 pooled it
–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

117 citing papers in PubMed, 3 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Genotype-phenotype associations in dilated cardiomyopathy: meta-analysis on more than 8000 individuals.Clinical research in cardiology : official journal of the German Cardiac Society · 2017
    Pooled it
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  8. iScience · 2026
    Article
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  13. Impact of catheter ablation on atrial fibrillation outcomes in various cardiomyopathies: findings from LGE-MRI quantified atrial fibrosis analysis.Journal of interventional cardiac electrophysiology : an international journal of arrhythmias and pacing · 2025
    Article
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57 more citing papers are in PubMed but not listed here.

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

6 authors.

Carolyn Y HoCardiovascular Division, Brigham and Women's Hospital, Boston, MA, USA cho@partners.org.
Philippe CharronCentre de référence maladies cardiaques héréditaires, ICAN, Inserm UMR_1166, Hôpital Pitié-Salpêtrière, AP-HP, Paris, France Université de Versailles-Saint Quentin, Hôpital Ambroise Paré, AP-HP, Boulogne-Billancourt, France.
Pascale RichardCentre de référence maladies cardiaques héréditaires, ICAN, Inserm UMR_1166, Hôpital Pitié-Salpêtrière, AP-HP, Paris, France.
Francesca GirolamiGenetic Diagnostic Unit, Careggi University Hospital, Florence, Italy.
Karin Y Van Spaendonck-ZwartsDepartment of Clinical Genetics, Academic Medical Center Amsterdam, University of Amsterdam, Amsterdam, The Netherlands.
Yigal PintoDepartment of Cardiology, Academic Medical Center Amsterdam, University of Amsterdam, Amsterdam, The Netherlands.

Funding

Using Genetics For Early Phenotyping & Prevention of Hypertrophic CardiomyopathyP50HL112349 · NHLBI · BRIGHAM AND WOMEN'S HOSPITAL · PI HO, CAROLYN Y, SEIDMAN, CHRISTINE E · 2012 to 2017
$11.2M
NHLBI NIH HHS 1P50HL112349NHLBI NIH HHS P50 HL112349
6 · The paper itself

Abstract

Genetic studies in the 1980s and 1990s led to landmark discoveries that sarcomere mutations cause both hypertrophic and dilated cardiomyopathies. Sarcomere mutations also likely play a role in more complex phenotypes and overlap cardiomyopathies with features of hypertrophy, dilation, diastolic abnormalities, and non-compaction. Identification of the genetic cause of these important conditions provides unique opportunities to interrogate and characterize disease pathogenesis and pathophysiology, starting from the molecular level and expanding from there. With such insights, there is potential for clinical translation that may transform management of patients and families with inherited cardiomyopathies. If key pathways for disease development can be identified, they could potentially serve as targets for novel disease-modifying or disease-preventing therapies. By utilizing gene-based diagnostic testing, we can identify at-risk individuals prior to the onset of clinical disease, allowing for disease-modifying therapy to be initiated early in life, at a time that such treatment may be most successful. In this section, we review the current application of genetics in clinical management, focusing on hypertrophic cardiomyopathy as a paradigm; discuss state-of-the-art genetic testing technology; review emerging knowledge of gene expression in sarcomeric cardiomyopathies; and discuss both the prospects, as well as the challenges, of bringing genetics to medicine.

Indexed as

MutationSarcomeresAnimalsCardiomyopathiesComputational BiologyDNA Mutational AnalysisGenetic MarkersGenetic Predisposition to DiseaseGenetic TestingGenetic TherapyHumansPhenotypePredictive Value of TestsRisk FactorsGenetic MarkersDilated cardiomyopathyGeneticsHypertrophic cardiomyopathyNext Generation SequencingSarcomere

Identifiers

PMID25634555
PMCPMC4349164

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
Read underepoch 390

Registered trials

None linked

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.