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Comparison of two next-generation sequencing kits for diagnosis of epileptic disorders with a user-friendly tool for displaying gene coverage, DeCovA

In recent years, molecular genetics has been playing an increasing role in the diagnostic process of monogenic epilepsies. Knowing the genetic basis of one patient's epilepsy provides accurate genetic counseling and may guide therapeutic options. Genetic diagnosis of epilepsy syndromes has long...

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Autores principales: Dimassi, Sarra, Simonet, Thomas, Labalme, Audrey, Boutry-Kryza, Nadia, Campan-Fournier, Amandine, Lamy, Raphaelle, Bardel, Claire, Elsensohn, Mad-Hélénie, Roucher-Boulez, Florence, Chatron, Nicolas, Putoux, Audrey, de Bellescize, Julitta, Ville, Dorothée, Schaeffer, Laurent, Roy, Pascal, Mougou-Zerelli, Soumaya, Saad, Ali, Calender, Alain, Sanlaville, Damien, Lesca, Gaetan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2015
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4803767/
https://www.ncbi.nlm.nih.gov/pubmed/27054081
http://dx.doi.org/10.1016/j.atg.2015.10.001
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author Dimassi, Sarra
Simonet, Thomas
Labalme, Audrey
Boutry-Kryza, Nadia
Campan-Fournier, Amandine
Lamy, Raphaelle
Bardel, Claire
Elsensohn, Mad-Hélénie
Roucher-Boulez, Florence
Chatron, Nicolas
Putoux, Audrey
de Bellescize, Julitta
Ville, Dorothée
Schaeffer, Laurent
Roy, Pascal
Mougou-Zerelli, Soumaya
Saad, Ali
Calender, Alain
Sanlaville, Damien
Lesca, Gaetan
author_facet Dimassi, Sarra
Simonet, Thomas
Labalme, Audrey
Boutry-Kryza, Nadia
Campan-Fournier, Amandine
Lamy, Raphaelle
Bardel, Claire
Elsensohn, Mad-Hélénie
Roucher-Boulez, Florence
Chatron, Nicolas
Putoux, Audrey
de Bellescize, Julitta
Ville, Dorothée
Schaeffer, Laurent
Roy, Pascal
Mougou-Zerelli, Soumaya
Saad, Ali
Calender, Alain
Sanlaville, Damien
Lesca, Gaetan
author_sort Dimassi, Sarra
collection PubMed
description In recent years, molecular genetics has been playing an increasing role in the diagnostic process of monogenic epilepsies. Knowing the genetic basis of one patient's epilepsy provides accurate genetic counseling and may guide therapeutic options. Genetic diagnosis of epilepsy syndromes has long been based on Sanger sequencing and search for large rearrangements using MLPA or DNA arrays (array-CGH or SNP-array). Recently, next-generation sequencing (NGS) was demonstrated to be a powerful approach to overcome the wide clinical and genetic heterogeneity of epileptic disorders. Coverage is critical for assessing the quality and accuracy of results from NGS. However, it is often a difficult parameter to display in practice. The aim of the study was to compare two library-building methods (Haloplex, Agilent and SeqCap EZ, Roche) for a targeted panel of 41 genes causing monogenic epileptic disorders. We included 24 patients, 20 of whom had known disease-causing mutations. For each patient both libraries were built in parallel and sequenced on an Ion Torrent Personal Genome Machine (PGM). To compare coverage and depth, we developed a simple homemade tool, named DeCovA (Depth and Coverage Analysis). DeCovA displays the sequencing depth of each base and the coverage of target genes for each genomic position. The fraction of each gene covered at different thresholds could be easily estimated. None of the two methods used, namely NextGene and Ion Reporter, were able to identify all the known mutations/CNVs displayed by the 20 patients. Variant detection rate was globally similar for the two techniques and DeCovA showed that failure to detect a mutation was mainly related to insufficient coverage.
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spelling pubmed-48037672016-04-06 Comparison of two next-generation sequencing kits for diagnosis of epileptic disorders with a user-friendly tool for displaying gene coverage, DeCovA Dimassi, Sarra Simonet, Thomas Labalme, Audrey Boutry-Kryza, Nadia Campan-Fournier, Amandine Lamy, Raphaelle Bardel, Claire Elsensohn, Mad-Hélénie Roucher-Boulez, Florence Chatron, Nicolas Putoux, Audrey de Bellescize, Julitta Ville, Dorothée Schaeffer, Laurent Roy, Pascal Mougou-Zerelli, Soumaya Saad, Ali Calender, Alain Sanlaville, Damien Lesca, Gaetan Appl Transl Genom Article In recent years, molecular genetics has been playing an increasing role in the diagnostic process of monogenic epilepsies. Knowing the genetic basis of one patient's epilepsy provides accurate genetic counseling and may guide therapeutic options. Genetic diagnosis of epilepsy syndromes has long been based on Sanger sequencing and search for large rearrangements using MLPA or DNA arrays (array-CGH or SNP-array). Recently, next-generation sequencing (NGS) was demonstrated to be a powerful approach to overcome the wide clinical and genetic heterogeneity of epileptic disorders. Coverage is critical for assessing the quality and accuracy of results from NGS. However, it is often a difficult parameter to display in practice. The aim of the study was to compare two library-building methods (Haloplex, Agilent and SeqCap EZ, Roche) for a targeted panel of 41 genes causing monogenic epileptic disorders. We included 24 patients, 20 of whom had known disease-causing mutations. For each patient both libraries were built in parallel and sequenced on an Ion Torrent Personal Genome Machine (PGM). To compare coverage and depth, we developed a simple homemade tool, named DeCovA (Depth and Coverage Analysis). DeCovA displays the sequencing depth of each base and the coverage of target genes for each genomic position. The fraction of each gene covered at different thresholds could be easily estimated. None of the two methods used, namely NextGene and Ion Reporter, were able to identify all the known mutations/CNVs displayed by the 20 patients. Variant detection rate was globally similar for the two techniques and DeCovA showed that failure to detect a mutation was mainly related to insufficient coverage. Elsevier 2015-10-17 /pmc/articles/PMC4803767/ /pubmed/27054081 http://dx.doi.org/10.1016/j.atg.2015.10.001 Text en © 2015 The Authors http://creativecommons.org/licenses/by-nc-nd/4.0/ This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
spellingShingle Article
Dimassi, Sarra
Simonet, Thomas
Labalme, Audrey
Boutry-Kryza, Nadia
Campan-Fournier, Amandine
Lamy, Raphaelle
Bardel, Claire
Elsensohn, Mad-Hélénie
Roucher-Boulez, Florence
Chatron, Nicolas
Putoux, Audrey
de Bellescize, Julitta
Ville, Dorothée
Schaeffer, Laurent
Roy, Pascal
Mougou-Zerelli, Soumaya
Saad, Ali
Calender, Alain
Sanlaville, Damien
Lesca, Gaetan
Comparison of two next-generation sequencing kits for diagnosis of epileptic disorders with a user-friendly tool for displaying gene coverage, DeCovA
title Comparison of two next-generation sequencing kits for diagnosis of epileptic disorders with a user-friendly tool for displaying gene coverage, DeCovA
title_full Comparison of two next-generation sequencing kits for diagnosis of epileptic disorders with a user-friendly tool for displaying gene coverage, DeCovA
title_fullStr Comparison of two next-generation sequencing kits for diagnosis of epileptic disorders with a user-friendly tool for displaying gene coverage, DeCovA
title_full_unstemmed Comparison of two next-generation sequencing kits for diagnosis of epileptic disorders with a user-friendly tool for displaying gene coverage, DeCovA
title_short Comparison of two next-generation sequencing kits for diagnosis of epileptic disorders with a user-friendly tool for displaying gene coverage, DeCovA
title_sort comparison of two next-generation sequencing kits for diagnosis of epileptic disorders with a user-friendly tool for displaying gene coverage, decova
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4803767/
https://www.ncbi.nlm.nih.gov/pubmed/27054081
http://dx.doi.org/10.1016/j.atg.2015.10.001
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