Exome sequencing covers >98% of mutations identified on targeted next generation sequencing panels

With the expanded availability of next generation sequencing (NGS)-based clinical genetic tests, clinicians seeking to test patients with Mendelian diseases must weigh the superior coverage of targeted gene panels with the greater number of genes included in whole exome sequencing (WES) when conside...

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Veröffentlicht in:PloS one 2017-02, Vol.12 (2), p.e0170843-e0170843
Hauptverfasser: LaDuca, Holly, Farwell, Kelly D, Vuong, Huy, Lu, Hsiao-Mei, Mu, Wenbo, Shahmirzadi, Layla, Tang, Sha, Chen, Jefferey, Bhide, Shruti, Chao, Elizabeth C
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container_title PloS one
container_volume 12
creator LaDuca, Holly
Farwell, Kelly D
Vuong, Huy
Lu, Hsiao-Mei
Mu, Wenbo
Shahmirzadi, Layla
Tang, Sha
Chen, Jefferey
Bhide, Shruti
Chao, Elizabeth C
description With the expanded availability of next generation sequencing (NGS)-based clinical genetic tests, clinicians seeking to test patients with Mendelian diseases must weigh the superior coverage of targeted gene panels with the greater number of genes included in whole exome sequencing (WES) when considering their first-tier testing approach. Here, we use an in silico analysis to predict the analytic sensitivity of WES using pathogenic variants identified on targeted NGS panels as a reference. Corresponding nucleotide positions for 1533 different alterations classified as pathogenic or likely pathogenic identified on targeted NGS multi-gene panel tests in our laboratory were interrogated in data from 100 randomly-selected clinical WES samples to quantify the sequence coverage at each position. Pathogenic variants represented 91 genes implicated in hereditary cancer, X-linked intellectual disability, primary ciliary dyskinesia, Marfan syndrome/aortic aneurysms, cardiomyopathies and arrhythmias. When assessing coverage among 100 individual WES samples for each pathogenic variant (153,300 individual assessments), 99.7% (n = 152,798) would likely have been detected on WES. All pathogenic variants had at least some coverage on exome sequencing, with a total of 97.3% (n = 1491) detectable across all 100 individuals. For the remaining 42 pathogenic variants, the number of WES samples with adequate coverage ranged from 35 to 99. Factors such as location in GC-rich, repetitive, or homologous regions likely explain why some of these alterations were not detected across all samples. To validate study findings, a similar analysis was performed against coverage data from 60,706 exomes available through the Exome Aggregation Consortium (ExAC). Results from this validation confirmed that 98.6% (91,743,296/93,062,298) of pathogenic variants demonstrated adequate depth for detection. Results from this in silico analysis suggest that exome sequencing may achieve a diagnostic yield similar to panel-based testing for Mendelian diseases.
doi_str_mv 10.1371/journal.pone.0170843
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Here, we use an in silico analysis to predict the analytic sensitivity of WES using pathogenic variants identified on targeted NGS panels as a reference. Corresponding nucleotide positions for 1533 different alterations classified as pathogenic or likely pathogenic identified on targeted NGS multi-gene panel tests in our laboratory were interrogated in data from 100 randomly-selected clinical WES samples to quantify the sequence coverage at each position. Pathogenic variants represented 91 genes implicated in hereditary cancer, X-linked intellectual disability, primary ciliary dyskinesia, Marfan syndrome/aortic aneurysms, cardiomyopathies and arrhythmias. When assessing coverage among 100 individual WES samples for each pathogenic variant (153,300 individual assessments), 99.7% (n = 152,798) would likely have been detected on WES. All pathogenic variants had at least some coverage on exome sequencing, with a total of 97.3% (n = 1491) detectable across all 100 individuals. 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subjects Analysis
Aorta
Biology and life sciences
Cancer
Care and treatment
Clinical medicine
Computer Simulation
Consortia
Diagnostic systems
DNA Mutational Analysis - methods
DNA Mutational Analysis - statistics & numerical data
DNA sequencing
Dyskinesia
Exome
Female
Gene mutation
Gene sequencing
Genes
Genetic Diseases, Inborn - diagnosis
Genetic Diseases, Inborn - genetics
Genetic screening
Genetic Testing - methods
Genetic Testing - statistics & numerical data
Genetics
Genome, Human
Genomes
Genomics
High-Throughput Nucleotide Sequencing - methods
High-Throughput Nucleotide Sequencing - statistics & numerical data
Homology
Humans
Intellectual disabilities
Male
Marfan syndrome
Marfan's syndrome
Medical diagnosis
Medicine and Health Sciences
Mutation
Panels
Physical Sciences
Primary ciliary dyskinesia
Research and analysis methods
Risk assessment
Risk factors
Sensitivity analysis
Sequence Analysis, DNA - methods
Sequence Analysis, DNA - statistics & numerical data
title Exome sequencing covers >98% of mutations identified on targeted next generation sequencing panels
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