Evidence map›Paper›PMID 32659924›Full record

ArticleJournal of clinical medicine2020

New Insights on Genetic Diagnostics in Cardiomyopathy and Arrhythmia Patients Gained by Stepwise Exome Data Analysis.

Konstantinos Kolokotronis, Natalie Pluta, Eva Klopocki, Erdmute Kunstmann, Daniel Messroghli, Christoph Maack, Shai Tejman-Yarden, Michael Arad, Simone Rost, Brenda Gerull

Open access · goldAbstract read
In one paragraph

Article in Journal of clinical medicine, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
0.4field-weighted citation impact, top 33% 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

6 citing papers in PubMed, 7 citations in OpenAlex.

  1. Article
  2. Article
  3. Review
  4. X-chromosomal inactivation patterns in women with Fabry disease.Molecular genetics & genomic medicine · 2022
    Article
  5. Article
  6. Review
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

10 authors at 3 institutions in 2 countries.

Konstantinos KolokotronisInstitute of Human Genetics, Biocenter, Julius-Maximilians-University Würzburg, 97074 Würzburg, Germany.
Natalie PlutaInstitute of Human Genetics, Biocenter, Julius-Maximilians-University Würzburg, 97074 Würzburg, Germany.
Eva KlopockiInstitute of Human Genetics, Biocenter, Julius-Maximilians-University Würzburg, 97074 Würzburg, Germany.
Erdmute KunstmannInstitute of Human Genetics, Biocenter, Julius-Maximilians-University Würzburg, 97074 Würzburg, Germany.
Daniel MessroghliGerman Heart Center Berlin, Department of Internal Medicine-Cardiology, 13353 Berlin, Germany.ORCID 0000-0003-1331-5004
Christoph MaackDepartment of Translational Research, Comprehensive Heart Failure Center (CHFC), University Clinic Würzburg, 97078 Würzburg, Germany.
Shai Tejman-YardenThe Safra International Congenital Heart Center. Sheba Medical Center and Sackler School of Medicine, Tel Aviv University, Ramat Gan 5365601, Israel.
Michael AradHeart Failure Institute and Leviev Heart Center, Sheba Medical Center and Sackler School of Medicine, Tel Aviv University, Ramat Gan 5365601, Israel.
Simone RostInstitute of Human Genetics, Biocenter, Julius-Maximilians-University Würzburg, 97074 Würzburg, Germany.
Brenda GerullDepartment of Cardiovascular Genetics, Comprehensive Heart Failure Center (CHFC) and Department of Medicine I, University Clinic Würzburg, 97078 Würzburg, Germany.ORCID 0000-0002-1363-8826
University of Würzburg · DETel Aviv University · ILDeutsches Herzzentrum der Charité · DE

Funding

Bundesministerium für Bildung, Wissenschaft und Forschung 01EO1504.Deutsche Forschungsgemeinschaft DFG; Ma 2528/7-1, SFB-894, TRR-219
6 · The paper itself

Abstract

Inherited cardiomyopathies are characterized by clinical and genetic heterogeneity that challenge genetic diagnostics. In this study, we examined the diagnostic benefit of exome data compared to targeted gene panel analyses, and we propose new candidate genes. We performed exome sequencing in a cohort of 61 consecutive patients with a diagnosis of cardiomyopathy or primary arrhythmia, and we analyzed the data following a stepwise approach. Overall, in 64% of patients, a variant of interest (VOI) was detected. The detection rate in the main sub-cohort consisting of patients with dilated cardiomyopathy (DCM) was much higher than previously reported (25/36; 69%). The majority of VOIs were found in disease-specific panels, while a further analysis of an extended panel and exome data led to an additional diagnostic yield of 13% and 5%, respectively. Exome data analysis also detected variants in candidate genes whose functional profile suggested a probable pathogenetic role, the strongest candidate being a truncating variant in

Indexed as

candidate genescardiogeneticscardiomyopathytargeted gene panelwhole exome sequencing

Identifiers

PMID32659924
PMCPMC7408654
OpenAlexW3042046085

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.