Evidence map›Paper›PMID 21636032›Full record

ArticleJournal of the American College of Cardiology2011

Distinguishing arrhythmogenic right ventricular cardiomyopathy/dysplasia-associated mutations from background genetic noise.

Jamie D Kapplinger, Andrew P Landstrom, Benjamin A Salisbury, Thomas E Callis, Guido D Pollevick, David J Tester, Moniek G P J Cox, Zahir Bhuiyan, Hennie Bikker, Ans C P Wiesfeld and 7 more

Open access · greenAbstract readComparative Study
In one paragraph

Article in Journal of the American College of Cardiology, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 113 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
113citing papers in PubMed, 1 pooled it
20.5field-weighted citation impact, top 1% 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

113 citing papers in PubMed, 1 synthesis or guideline pooled it, 301 citations in OpenAlex.

  1. Pooled it
  2. Review
  3. Article
  4. Article
  5. Genetics of Sudden Cardiac Death.Diseases (Basel, Switzerland) · 2025
    Review
  6. Dilated Cardiomyopathy: A Genetic Journey from Past to Future.International journal of molecular sciences · 2024
    Review
  7. Review
  8. Article
  9. Article
  10. Circulation. Genomic and precision medicine · 2023
    Article
  11. Observational
  12. Role of non-coding variants in cardiovascular disease.Journal of cellular and molecular medicine · 2023
    Review
  13. Review
  14. Article
  15. The Many Faces of Arrhythmogenic Cardiomyopathy: An Overview.The application of clinical genetics · 2023
    Review
  16. Article
  17. HumanizedCells · 2022
    Article
  18. Article
  19. Genetic predisposition study of heart failure and its association with cardiomyopathy.The Egyptian heart journal : (EHJ) : official bulletin of the Egyptian Society of Cardiology · 2022
    Review
  20. Observational

53 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

17 authors at 6 institutions in 2 countries.

Jamie D KapplingerDepartment of Molecular Pharmacology and Experimental Therapeutics, Mayo Clinic, Rochester, MN, USA.
Andrew P Landstrom
Benjamin A Salisbury
Thomas E Callis
Guido D Pollevick
David J Tester
Moniek G P J Cox
Zahir Bhuiyan
Hennie Bikker
Ans C P Wiesfeld
Richard N W Hauer
J Peter van Tintelen
Jan D H Jongbloed
Hugh Calkins
Daniel P Judge
Arthur A M Wilde
Michael J Ackerman
Mayo Clinic · USAmsterdam UMC Location University of Amsterdam · NLTransgenomic (United States) · USUniversity Medical Center Groningen · NLJohns Hopkins University · USUniversity Medical Center Utrecht · NL

Funding

Predoctoral Training Program in Molecular PharmacologyT32GM072474 · NIGMS · MAYO CLINIC ROCHESTER · PI KARNITZ, LARRY M · 2005 to 2020
$2.4M
NIGMS NIH HHS T32 GM072474
6 · The paper itself

Abstract

objectivesThe aims of this study were to determine the spectrum and prevalence of "background genetic noise" in the arrhythmogenic right ventricular cardiomyopathy/dysplasia (ARVC) genetic test and to determine genetic associations that can guide the interpretation of a positive test result.

backgroundARVC is a potentially lethal genetic cardiovascular disorder characterized by myocyte loss and fibrofatty tissue replacement of the right ventricle. Genetic variation among the ARVC susceptibility genes has not been systematically examined, and little is known about the background noise associated with the ARVC genetic test.

methodsUsing direct deoxyribonucleic acid sequencing, the coding exons/splice junctions of PKP2, DSP, DSG2, DSC2, and TMEM43 were genotyped for 93 probands diagnosed with ARVC from the Netherlands and 427 ostensibly healthy controls of various ethnicities. Eighty-two additional ARVC cases were obtained from published reports, and additional mutations were included from the ARVD/C Genetic Variants Database.

resultsThe overall yield of mutations among ARVC cases was 58% versus 16% in controls. Radical mutations were hosted by 0.5% of control individuals versus 43% of ARVC cases, while 16% of controls hosted missense mutations versus a similar 21% of ARVC cases. Relative to controls, mutations in cases occurred more frequently in non-Caucasians, localized to the N-terminal regions of DSP and DSG2, and localized to highly conserved residues within PKP2 and DSG2.

conclusionsThis study is the first to comprehensively evaluate genetic variation in healthy controls for the ARVC susceptibility genes. Radical mutations are high-probability ARVC-associated mutations, whereas rare missense mutations should be interpreted in the context of race and ethnicity, mutation location, and sequence conservation.

Indexed as

Genetic Predisposition to DiseaseAdultArrhythmogenic Right Ventricular DysplasiaCase-Control StudiesDNA Mutational AnalysisGenetic TestingHumansMiddle AgedPrevalence

Identifiers

PMID21636032
PMCPMC6311127
OpenAlexW2053972915

What OpenQuestion holds

Textmetadata
LicenceTDM
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.