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Genetic Spectrum of Idiopathic Restrictive Cardiomyopathy Uncovered by Next-Generation Sequencing.

Authors :
Anna Kostareva
Artem Kiselev
Alexandra Gudkova
Goar Frishman
Andreas Ruepp
Dmitrij Frishman
Natalia Smolina
Svetlana Tarnovskaya
Daniel Nilsson
Anna Zlotina
Tatiana Khodyuchenko
Tatiana Vershinina
Tatiana Pervunina
Alexandra Klyushina
Andrey Kozlenok
Gunnar Sjoberg
Irina Golovljova
Thomas Sejersen
Eugeniy Shlyakhto
Source :
PLoS ONE, Vol 11, Iss 9, p e0163362 (2016)
Publication Year :
2016
Publisher :
Public Library of Science (PLoS), 2016.

Abstract

BACKGROUND:Cardiomyopathies represent a rare group of disorders often of genetic origin. While approximately 50% of genetic causes are known for other types of cardiomyopathies, the genetic spectrum of restrictive cardiomyopathy (RCM) is largely unknown. The aim of the present study was to identify the genetic background of idiopathic RCM and to compile the obtained genetic variants to the novel signalling pathways using in silico protein network analysis. PATIENTS AND METHODS:We used Illumina MiSeq setup to screen for 108 cardiomyopathy and arrhythmia-associated genes in 24 patients with idiopathic RCM. Pathogenicity of genetic variants was classified according to American College of Medical Genetics and Genomics classification. RESULTS:Pathogenic and likely-pathogenic variants were detected in 13 of 24 patients resulting in an overall genotype-positive rate of 54%. Half of the genotype-positive patients carried a combination of pathogenic, likely-pathogenic variants and variants of unknown significance. The most frequent combination included mutations in sarcomeric and cytoskeletal genes (38%). A bioinformatics approach underlined the mechanotransducing protein networks important for RCM pathogenesis. CONCLUSIONS:Multiple gene mutations were detected in half of the RCM cases, with a combination of sarcomeric and cytoskeletal gene mutations being the most common. Mutations of genes encoding sarcomeric, cytoskeletal, and Z-line-associated proteins appear to have a predominant role in the development of RCM.

Subjects

Subjects :
Medicine
Science

Details

Language :
English
ISSN :
19326203
Volume :
11
Issue :
9
Database :
Directory of Open Access Journals
Journal :
PLoS ONE
Publication Type :
Academic Journal
Accession number :
edsdoj.764033b189314c3c94b73bc07e66efb8
Document Type :
article
Full Text :
https://doi.org/10.1371/journal.pone.0163362