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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...
Autores principales: | , , , , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2015
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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. |
format | Online Article Text |
id | pubmed-4803767 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2015 |
publisher | Elsevier |
record_format | MEDLINE/PubMed |
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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