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

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...

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Main 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
Format: Article
Language:English
Published: Public Library of Science (PLoS) 2016-01-01
Series:PLoS ONE
Online Access:http://europepmc.org/articles/PMC5035084?pdf=render
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spelling doaj-764033b189314c3c94b73bc07e66efb82020-11-25T02:39:59ZengPublic Library of Science (PLoS)PLoS ONE1932-62032016-01-01119e016336210.1371/journal.pone.0163362Genetic Spectrum of Idiopathic Restrictive Cardiomyopathy Uncovered by Next-Generation Sequencing.Anna KostarevaArtem KiselevAlexandra GudkovaGoar FrishmanAndreas RueppDmitrij FrishmanNatalia SmolinaSvetlana TarnovskayaDaniel NilssonAnna ZlotinaTatiana KhodyuchenkoTatiana VershininaTatiana PervuninaAlexandra KlyushinaAndrey KozlenokGunnar SjobergIrina GolovljovaThomas SejersenEugeniy ShlyakhtoBACKGROUND: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.http://europepmc.org/articles/PMC5035084?pdf=render
collection DOAJ
language English
format Article
sources DOAJ
author 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
spellingShingle 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
Genetic Spectrum of Idiopathic Restrictive Cardiomyopathy Uncovered by Next-Generation Sequencing.
PLoS ONE
author_facet 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
author_sort Anna Kostareva
title Genetic Spectrum of Idiopathic Restrictive Cardiomyopathy Uncovered by Next-Generation Sequencing.
title_short Genetic Spectrum of Idiopathic Restrictive Cardiomyopathy Uncovered by Next-Generation Sequencing.
title_full Genetic Spectrum of Idiopathic Restrictive Cardiomyopathy Uncovered by Next-Generation Sequencing.
title_fullStr Genetic Spectrum of Idiopathic Restrictive Cardiomyopathy Uncovered by Next-Generation Sequencing.
title_full_unstemmed Genetic Spectrum of Idiopathic Restrictive Cardiomyopathy Uncovered by Next-Generation Sequencing.
title_sort genetic spectrum of idiopathic restrictive cardiomyopathy uncovered by next-generation sequencing.
publisher Public Library of Science (PLoS)
series PLoS ONE
issn 1932-6203
publishDate 2016-01-01
description 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.
url http://europepmc.org/articles/PMC5035084?pdf=render
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