Comparison of two next-generation sequencing kits for diagnosis of epileptic disorders with a user-friendly tool for displaying gene coverage, DeCovA - Archive ouverte HAL Access content directly
Journal Articles Applied & Translational Genomics Year : 2015

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

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S. Dimassi
  • Function : Author
T. Simonet
  • Function : Author
A. Labalme
  • Function : Author
N. Boutry-Kryza
  • Function : Author
R. Lamy
  • Function : Author
Claire Bardel
M. H. Elsensohn
  • Function : Author
F. Roucher-Boulez
  • Function : Author
N. Chatron
  • Function : Author
  • PersonId : 1022760
A. Putoux
  • Function : Author
J. De Bellescize
  • Function : Author
D. Ville
  • Function : Author
L. Schaeffer
Pascal Roy
  • Function : Author
S. Mougou-Zerelli
  • Function : Author
A. Saad
  • Function : Author
A. Calender
  • Function : Author
D. Sanlaville
  • Function : Author
G. Lesca
  • Function : Author

Abstract

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-buildingmethods (Haloplex, Agilent and SeqCap EZ, Roche) for a targeted panel of 41 genes causing monogenic epileptic disorders. We included 24 patients, 20 of whomhad 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/CNVsdisplayed 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

Dates and versions

hal-02044950 , version 1 (21-02-2019)

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S. Dimassi, T. Simonet, A. Labalme, N. Boutry-Kryza, Amandine Campan-Fournier, et al.. Comparison of two next-generation sequencing kits for diagnosis of epileptic disorders with a user-friendly tool for displaying gene coverage, DeCovA. Applied & Translational Genomics, 2015, 7, pp.19-25. ⟨10.1016/j.atg.2015.10.001⟩. ⟨hal-02044950⟩
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