Journal Article

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

Zlotina, Anna, Gudkova, Alexandra, Smolina, Natalia, Kostareva, Anna, Frishman, Dmitrij, Khodyuchenko, Tatiana, Klyushina, Alexandra, Sjoberg, Gunnar, Nilsson, Daniel, Golovljova, Irina, Shlyakhto, Eugeniy, Sejersen, Thomas, Pervunina, Tatiana, Tarnovskaya, Svetlana, Kiselev, Artem, Kozlenok, Andrey, Frishman, Goar, Ruepp, Andreas, Vershinina, Tatiana

2016

Overview

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. 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. 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. 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.

• Publisher: Public Library of Science,Public Library of Science (PLoS)
• Subject: Analysis / Arrhythmia / Bioinformatics / Biology / Biology and Life Sciences / Cardiology / Cardiomyopathy / Computer and Information Sciences / Cytoskeleton / Disease / Environmental health / Gene mutation / Gene sequencing / Genes / Genetic diversity / Genetic research / Genetic variance / Genetics / Genotype & phenotype / Genotypes / Heart / Medical genetics / Medical research / Medicine / Medicine and Health Sciences / Mutation / Myocardial diseases / Network analysis / Pathogenesis / Pathogenicity / Pathogens / Patients / Proteins / Research and analysis methods / Signal transduction / Signaling / Womens health