WEScover: selection between clinical whole exome sequencing and gene panel testing
Background: Whole exome sequencing (WES) is widely adopted in clinical and research settings; however, one of the practical concerns is the potential false negatives due to incomplete breadth and depth of coverage for several exons in clinically implicated genes. In some cases, a targeted gene panel...
| Autores: | , , , , , |
|---|---|
| Tipo de recurso: | artículo |
| Estado: | Versión publicada |
| Fecha de publicación: | 2021 |
| País: | España |
| Institución: | Varias* (Consorci de Biblioteques Universitáries de Catalunya, Centre de Serveis Científics i Acadèmics de Catalunya) |
| Repositorio: | Recercat. Dipósit de la Recerca de Catalunya |
| OAI Identifier: | oai:recercat.cat:10230/48281 |
| Acceso en línea: | http://hdl.handle.net/10230/48281 http://dx.doi.org/10.1186/s12859-021-04178-5 |
| Access Level: | acceso abierto |
| Palabra clave: | Seqüenciació total del genoma Cromosomes humans -- Anomalies -- Diagnòstic Gens Fenotip Exons |
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WEScover: selection between clinical whole exome sequencing and gene panel testingLee, In-HeeLin, YufeiJefferson Alvarez, WilliamHernandez-Ferrer, Carles, 1987-Mandl, Kenneth D.Kong, Sek WonSeqüenciació total del genomaCromosomes humans -- Anomalies -- DiagnòsticGensFenotipExonsBackground: Whole exome sequencing (WES) is widely adopted in clinical and research settings; however, one of the practical concerns is the potential false negatives due to incomplete breadth and depth of coverage for several exons in clinically implicated genes. In some cases, a targeted gene panel testing may be a dependable option to ascertain true negatives for genomic variants in known disease-associated genes. We developed a web-based tool to quickly gauge whether all genes of interest would be reliably covered by WES or whether targeted gene panel testing should be considered instead to minimize false negatives in candidate genes. Results: WEScover is a novel web application that provides an intuitive user interface for discovering breadth and depth of coverage across population-scale WES datasets, searching either by phenotype, by targeted gene panel(s) or by gene(s). Moreover, the application shows metrics from the Genome Aggregation Database to provide gene-centric view on breadth of coverage. Conclusions: WEScover allows users to efficiently query genes and phenotypes for the coverage of associated exons by WES and recommends use of panel tests for the genes with potential incomplete coverage by WES.The design of WEScover, data collection, analysis, interpretation and writing of the manuscript were supported by grants from the Boston Children’s Hospital Precision Link Biobank and from the National Institutes of Health (R01MH107205, R24OD024622, U01TR002623 and U01HG007530)BioMed Central202120212021info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfapplication/pdfhttp://hdl.handle.net/10230/48281http://dx.doi.org/10.1186/s12859-021-04178-5reponame:Recercat. Dipósit de la Recerca de Catalunyainstname:Varias* (Consorci de Biblioteques Universitáries de Catalunya, Centre de Serveis Científics i Acadèmics de Catalunya)Inglés© In-Hee Lee et al. 2021. This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were madehttps://creativecommons.org/licenses/by/4.0/info:eu-repo/semantics/openAccessoai:recercat.cat:10230/482812026-05-29T05:05:01Z |
| dc.title.none.fl_str_mv |
WEScover: selection between clinical whole exome sequencing and gene panel testing |
| title |
WEScover: selection between clinical whole exome sequencing and gene panel testing |
| spellingShingle |
WEScover: selection between clinical whole exome sequencing and gene panel testing Lee, In-Hee Seqüenciació total del genoma Cromosomes humans -- Anomalies -- Diagnòstic Gens Fenotip Exons |
| title_short |
WEScover: selection between clinical whole exome sequencing and gene panel testing |
| title_full |
WEScover: selection between clinical whole exome sequencing and gene panel testing |
| title_fullStr |
WEScover: selection between clinical whole exome sequencing and gene panel testing |
| title_full_unstemmed |
WEScover: selection between clinical whole exome sequencing and gene panel testing |
| title_sort |
WEScover: selection between clinical whole exome sequencing and gene panel testing |
| dc.creator.none.fl_str_mv |
Lee, In-Hee Lin, Yufei Jefferson Alvarez, William Hernandez-Ferrer, Carles, 1987- Mandl, Kenneth D. Kong, Sek Won |
| author |
Lee, In-Hee |
| author_facet |
Lee, In-Hee Lin, Yufei Jefferson Alvarez, William Hernandez-Ferrer, Carles, 1987- Mandl, Kenneth D. Kong, Sek Won |
| author_role |
author |
| author2 |
Lin, Yufei Jefferson Alvarez, William Hernandez-Ferrer, Carles, 1987- Mandl, Kenneth D. Kong, Sek Won |
| author2_role |
author author author author author |
| dc.subject.none.fl_str_mv |
Seqüenciació total del genoma Cromosomes humans -- Anomalies -- Diagnòstic Gens Fenotip Exons |
| topic |
Seqüenciació total del genoma Cromosomes humans -- Anomalies -- Diagnòstic Gens Fenotip Exons |
| description |
Background: Whole exome sequencing (WES) is widely adopted in clinical and research settings; however, one of the practical concerns is the potential false negatives due to incomplete breadth and depth of coverage for several exons in clinically implicated genes. In some cases, a targeted gene panel testing may be a dependable option to ascertain true negatives for genomic variants in known disease-associated genes. We developed a web-based tool to quickly gauge whether all genes of interest would be reliably covered by WES or whether targeted gene panel testing should be considered instead to minimize false negatives in candidate genes. Results: WEScover is a novel web application that provides an intuitive user interface for discovering breadth and depth of coverage across population-scale WES datasets, searching either by phenotype, by targeted gene panel(s) or by gene(s). Moreover, the application shows metrics from the Genome Aggregation Database to provide gene-centric view on breadth of coverage. Conclusions: WEScover allows users to efficiently query genes and phenotypes for the coverage of associated exons by WES and recommends use of panel tests for the genes with potential incomplete coverage by WES. |
| publishDate |
2021 |
| dc.date.none.fl_str_mv |
2021 2021 2021 |
| dc.type.none.fl_str_mv |
info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion |
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article |
| status_str |
publishedVersion |
| dc.identifier.none.fl_str_mv |
http://hdl.handle.net/10230/48281 http://dx.doi.org/10.1186/s12859-021-04178-5 |
| url |
http://hdl.handle.net/10230/48281 http://dx.doi.org/10.1186/s12859-021-04178-5 |
| dc.language.none.fl_str_mv |
Inglés |
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Inglés |
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https://creativecommons.org/licenses/by/4.0/ info:eu-repo/semantics/openAccess |
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https://creativecommons.org/licenses/by/4.0/ |
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openAccess |
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application/pdf application/pdf |
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BioMed Central |
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BioMed Central |
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Recercat. Dipósit de la Recerca de Catalunya |
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