1. Detection of copy-number variations from NGS data using read depth information: a diagnostic performance evaluation
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Anne-Claire Richard, Anne Rovelet-Lecrux, Dominique Campion, Sophie Coutant, Kilan Le Guennec, Jean-François Deleuze, Gaëlle Bougeard, Mathieu Castelain, Nathalie Drouot, Pascal Chambon, Stéphanie Vasseur, Thierry Frebourg, Jacqueline Bou, François Lecoquierre, Anne Boland, Géraldine Joly-Helas, Kévin Cassinari, Gaël Nicolas, Stéphane Rousseau, Steeve Fourneaux, Gwendoline Lienard, Edwige Kasper, Myriam Vezain, Pascale Saugier-Veber, Isabelle Tournier, Nathalie Le Meur, Olivier Quenez, Françoise Charbonnier, Emilie Bouvignies, Virginie N'Guyen-Viet, Stéphanie Baert-Desurmont, Sandrine Manase, Génomique et Médecine Personnalisée du Cancer et des Maladies Neuropsychiatriques (GPMCND), Institut National de la Santé et de la Recherche Médicale (INSERM)-Université de Rouen Normandie (UNIROUEN), Normandie Université (NU)-Normandie Université (NU), Service de génétique [Rouen], CHU Rouen, Normandie Université (NU)-Normandie Université (NU)-Université de Rouen Normandie (UNIROUEN), Normandie Université (NU), Centre National de Génotypage (CNG), Commissariat à l'énergie atomique et aux énergies alternatives (CEA), Centre Hospitalier du Rouvray, PORCHET, Nathalie, Université de Rouen Normandie (UNIROUEN), and Normandie Université (NU)-Normandie Université (NU)-Institut National de la Santé et de la Recherche Médicale (INSERM)
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DNA Copy Number Variations ,Computer science ,[SDV]Life Sciences [q-bio] ,Read depth ,Computational biology ,Sensitivity and Specificity ,Article ,Workflow ,03 medical and health sciences ,0302 clinical medicine ,Gene panel ,Exome Sequencing ,Multiplex polymerase chain reaction ,Genetics ,Humans ,Genetic Testing ,Copy-number variation ,Exome ,Genetics (clinical) ,030304 developmental biology ,Comparative Genomic Hybridization ,0303 health sciences ,High-Throughput Nucleotide Sequencing ,Predictive value ,[SDV] Life Sciences [q-bio] ,Multiplex Polymerase Chain Reaction ,030217 neurology & neurosurgery ,Comparative genomic hybridization - Abstract
International audience; The detection of copy-number variations (CNVs) from NGS data is underexploited as chip-based or targeted techniques are still commonly used. We assessed the performances of a workflow centered on CANOES, a bioinformatics tool based on read depth information. We applied our workflow to gene panel (GP) and whole-exome sequencing (WES) data, and compared CNV calls to quantitative multiplex PCR of short fluorescent fragments (QMSPF) or array comparative genomic hybridization (aCGH) results. From GP data of 3776 samples, we reached an overall positive predictive value (PPV) of 87.8%. This dataset included a complete comprehensive QMPSF comparison of four genes (60 exons) on which we obtained 100% sensitivity and specificity. From WES data, we first compared 137 samples with aCGH and filtered comparable events (exonic CNVs encompassing enough aCGH probes) and obtained an 87.25% sensitivity. The overall PPV was 86.4% following the targeted confirmation of candidate CNVs from 1056 additional WES. In addition, our CANOES-centered workflow on WES data allowed the detection of CNVs with a resolution of single exons, allowing the detection of CNVs that were missed by aCGH. Overall, switching to an NGS-only approach should be cost-effective as it allows a reduction in overall costs together with likely stable diagnostic yields. Our bioinformatics pipeline is available at: https://gitlab.bioinfo-diag.fr/nc4gpm/canoes-centered-workflow.
- Published
- 2020
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