Next generation sequencing challenges in the analysis of cardiac sudden death due to arrhythmogenic disorders. Issue 21 (6th August 2014)

• Record Type: Journal Article
• Authors: Brion, Maria; Blanco‐Verea, Alejandro; Sobrino, Beatriz; Santori, Montserrat; Gil, Rocio; Ramos‐Luis, Eva; Martinez, Marina; Amigo, Jorge; Carracedo, Angel; McCord, Bruce
• Is Part Of: Electrophoresis. Volume 35:Issue 21/22(2014)
• Page Start: 3111
• Page End: 3116
• Publication Date: 2014-08-06
• Subjects: Electrophoresis -- Periodicals; Electrophoresis -- Periodicals; 541.372
• DOI: 10.1002/elps.201400148
• Languages: English
• ISSNs: 0173-0835

Abstract

<abstract abstract-type="main"> <title> <x xml:space="preserve">Abstract</x> </title> <p>Inherited arrhythmogenic disorders is a relatively common cause of cardiac sudden death in young people. Diagnosis has been difficult so far due to the genetic heterogeneity of the disease. Next generation sequencing (NGS) is offering a new scenario for diagnosis. The purpose of our study was to validate NGS for the analysis of twenty‐eight genes known to be associated with inherited arrhythmogenic disorders and therefore with sudden cardiac death. SureSelect hybridization was used to enrich DNA from 53 samples, prior to be sequenced with the SOLID™ System of Life Technologies. Depth of coverage, consistency of coverage across samples, and location of variants identified were assessed. All the samples showed a depth of coverage over 200×, except one of them discarded because of its coverage below 30×. Average percentage of target bp covered at least 20× was 96.45%. In the remaining samples, following a prioritization process 46 possible variants in 31 samples were found, of which 45 were confirmed by Sanger sequencing. After filtering variants according to their minor allele frequency in the Exome Sequencing Project 27 putative pathogenic variants in 20 samples remained. With the use of in silico tools, 13 variants in 11 samples were classified as likely pathogenic. In conclusion, NGS allowed us to accurately detect arrhythmogenic disease causing mutations in a fast and cost‐efficient manner that is suitable for daily clinical and forensic practice of genetic testing of this type of disorders.</p> </abstract>