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Exome sequencing covers >98% of mutations identified on targeted next generation sequencing panels
BACKGROUND: 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)...
Autores principales: | , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5289469/ https://www.ncbi.nlm.nih.gov/pubmed/28152038 http://dx.doi.org/10.1371/journal.pone.0170843 |
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author | LaDuca, Holly Farwell, Kelly D. Vuong, Huy Lu, Hsiao-Mei Mu, Wenbo Shahmirzadi, Layla Tang, Sha Chen, Jefferey Bhide, Shruti Chao, Elizabeth C. |
author_facet | LaDuca, Holly Farwell, Kelly D. Vuong, Huy Lu, Hsiao-Mei Mu, Wenbo Shahmirzadi, Layla Tang, Sha Chen, Jefferey Bhide, Shruti Chao, Elizabeth C. |
author_sort | LaDuca, Holly |
collection | PubMed |
description | BACKGROUND: 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. METHODS: 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. RESULTS: 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. CONCLUSIONS: Results from this in silico analysis suggest that exome sequencing may achieve a diagnostic yield similar to panel-based testing for Mendelian diseases. |
format | Online Article Text |
id | pubmed-5289469 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-52894692017-02-17 Exome sequencing covers >98% of mutations identified on targeted next generation sequencing panels LaDuca, Holly Farwell, Kelly D. Vuong, Huy Lu, Hsiao-Mei Mu, Wenbo Shahmirzadi, Layla Tang, Sha Chen, Jefferey Bhide, Shruti Chao, Elizabeth C. PLoS One Research Article BACKGROUND: 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. METHODS: 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. RESULTS: 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. CONCLUSIONS: Results from this in silico analysis suggest that exome sequencing may achieve a diagnostic yield similar to panel-based testing for Mendelian diseases. Public Library of Science 2017-02-02 /pmc/articles/PMC5289469/ /pubmed/28152038 http://dx.doi.org/10.1371/journal.pone.0170843 Text en © 2017 LaDuca et al http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. |
spellingShingle | Research Article LaDuca, Holly Farwell, Kelly D. Vuong, Huy Lu, Hsiao-Mei Mu, Wenbo Shahmirzadi, Layla Tang, Sha Chen, Jefferey Bhide, Shruti Chao, Elizabeth C. Exome sequencing covers >98% of mutations identified on targeted next generation sequencing panels |
title | Exome sequencing covers >98% of mutations identified on targeted next generation sequencing panels |
title_full | Exome sequencing covers >98% of mutations identified on targeted next generation sequencing panels |
title_fullStr | Exome sequencing covers >98% of mutations identified on targeted next generation sequencing panels |
title_full_unstemmed | Exome sequencing covers >98% of mutations identified on targeted next generation sequencing panels |
title_short | Exome sequencing covers >98% of mutations identified on targeted next generation sequencing panels |
title_sort | exome sequencing covers >98% of mutations identified on targeted next generation sequencing panels |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5289469/ https://www.ncbi.nlm.nih.gov/pubmed/28152038 http://dx.doi.org/10.1371/journal.pone.0170843 |
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