| Literature DB >> 29511324 |
Jesus Mates1, Irene Mademont-Soler1,2, Bernat Del Olmo1, Carles Ferrer-Costa3, Monica Coll1,2, Alexandra Pérez-Serra1,2, Ferran Picó1, Catarina Allegue1, Anna Fernandez-Falgueras1, Patricia Álvarez3, Raquel Yotti2,4, Maria Angeles Espinosa2,4, Georgia Sarquella-Brugada5, Sergi Cesar5, Ester Carro5, Josep Brugada2,5,6, Elena Arbelo2,6, Pablo Garcia-Pavia2,7, Mar Borregan8, Eduardo Tizzano8, Amador López-Granados9, Francisco Mazuelos9, Aranzazu Díaz de Bustamante10, Maria Teresa Darnaude10, José Ignacio González-Hevia11, Felícitas Díaz-Flores12, Francisco Trujillo13, Anna Iglesias1,2, Francisco Fernandez-Aviles2,4, Oscar Campuzano1,2,14, Ramon Brugada15,16,17,18.
Abstract
Several studies have identified copy number variants (CNVs) as responsible for cardiac diseases associated with sudden cardiac death (SCD), but very few exhaustive analyses in large cohorts of patients have been performed, and they have been generally focused on a specific SCD-related disease. The aim of the present study was to screen for CNVs the most prevalent genes associated with SCD in a large cohort of patients who suffered sudden unexplained death or had an inherited cardiac disease (cardiomyopathy or channelopathy). A total of 1765 European patients were analyzed with a homemade algorithm for the assessment of CNVs using high-throughput sequencing data. Thirty-six CNVs were identified (2%), and most of them appeared to have a pathogenic role. The frequency of CNVs among cases of sudden unexplained death, patients with a cardiomyopathy or a channelopathy was 1.4% (8/587), 2.3% (20/874), and 2.6% (8/304), respectively. Detection rates were particularly high for arrhythmogenic cardiomyopathy (5.1%), long QT syndrome (4.7%), and dilated cardiomyopathy (4.4%). As such large genomic rearrangements underlie a non-neglectable portion of cases, we consider that their analysis should be performed as part of the routine genetic testing of sudden unexpected death cases and patients with SCD-related diseases.Entities:
Mesh:
Year: 2018 PMID: 29511324 PMCID: PMC6018743 DOI: 10.1038/s41431-018-0119-1
Source DB: PubMed Journal: Eur J Hum Genet ISSN: 1018-4813 Impact factor: 4.246