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Novel frame-shift mutation in PKP2 associated with arrhythmogenic right ventricular cardiomyopathy: a case report

Overview of attention for article published in BMC Medical Genomics, December 2015
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Title
Novel frame-shift mutation in PKP2 associated with arrhythmogenic right ventricular cardiomyopathy: a case report
Published in
BMC Medical Genomics, December 2015
DOI 10.1186/s12881-015-0263-1
Pubmed ID
Authors

Teresa Trenkwalder, Isabel Deisenhofer, Martin Hadamitzky, Heribert Schunkert, Wibke Reinhard

Abstract

Arrhythmogenic Right Ventricular Cardiomyopathy (ARVC) is an inherited disease mainly found in young people causing malignant arrhythmias which can result in sudden cardiac death. Due to unspecific symptoms the diagnosis of ARVC is still challenging and requires clinical testing and expert knowledge. Genetic testing of index patients is helpful in the primary diagnosis and further testing of family members may allow for prevention of sudden cardiac death. We report a case of newly diagnosed ARVC where genetic testing identified a novel familial frame-shift mutation in the PKP2 gene. Screening of the family members identified both children and the father as mutation carriers following an autosomal-dominant inheritance pattern. Our findings emphasize the importance of genetic family screening after the identification of a causative mutation in an index case.

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X Demographics

The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 29 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Argentina 1 3%
Canada 1 3%
Unknown 27 93%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 4 14%
Researcher 4 14%
Student > Postgraduate 3 10%
Student > Bachelor 2 7%
Librarian 2 7%
Other 6 21%
Unknown 8 28%
Readers by discipline Count As %
Medicine and Dentistry 9 31%
Biochemistry, Genetics and Molecular Biology 3 10%
Agricultural and Biological Sciences 3 10%
Unspecified 1 3%
Nursing and Health Professions 1 3%
Other 2 7%
Unknown 10 34%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 24 December 2015.
All research outputs
#22,759,802
of 25,374,647 outputs
Outputs from BMC Medical Genomics
#2,010
of 2,444 outputs
Outputs of similar age
#338,843
of 396,510 outputs
Outputs of similar age from BMC Medical Genomics
#38
of 43 outputs
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