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Mutation of a common amino acid in NKX2.5 results in dilated cardiomyopathy in two large families

Overview of attention for article published in BMC Medical Genomics, November 2016
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Title
Mutation of a common amino acid in NKX2.5 results in dilated cardiomyopathy in two large families
Published in
BMC Medical Genomics, November 2016
DOI 10.1186/s12881-016-0347-6
Pubmed ID
Authors

Alan Hanley, Katie A. Walsh, Caroline Joyce, Michael A. McLellan, Sebastian Clauss, Amaya Hagen, Marisa A. Shea, Nathan R. Tucker, Honghuang Lin, Gerard J. Fahy, Patrick T. Ellinor

Abstract

The genetic basis for dilated cardiomyopathy (DCM) can be difficult to determine, particularly in familial cases with complex phenotypes. Next generation sequencing may be useful in the management of such cases. We report two large families with pleiotropic inherited cardiomyopathy. In addition to DCM, the phenotypes included atrial and ventricular septal defects, cardiac arrhythmia and sudden death. Probands underwent whole exome sequencing to identify potentially causative variants. Each whole exome sequence yielded over 18,000 variants. We identified distinct mutations affecting a common amino acid in NKX2.5. Segregation analysis of the families support the pathogenic role of these variants. Our study emphasizes the utility of next generation sequencing in identifying causative mutations in complex inherited cardiac disease. We also report a novel pathogenic NKX2.5 mutation.

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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 26 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 26 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 9 35%
Professor > Associate Professor 3 12%
Student > Doctoral Student 2 8%
Student > Ph. D. Student 2 8%
Student > Master 2 8%
Other 3 12%
Unknown 5 19%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 11 42%
Medicine and Dentistry 7 27%
Neuroscience 1 4%
Unknown 7 27%
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 18 November 2016.
All research outputs
#20,655,488
of 25,371,288 outputs
Outputs from BMC Medical Genomics
#1,682
of 2,444 outputs
Outputs of similar age
#313,026
of 417,797 outputs
Outputs of similar age from BMC Medical Genomics
#18
of 32 outputs
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