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DEVOUR: Deleterious Variants on Uncovered Regions in Whole-Exome Sequencing
The discovery of low-coverage (i.e. uncovered) regions containing clinically significant variants, especially when they are related to the patient’s clinical phenotype, is critical for whole-exome sequencing (WES) based clinical diagnosis. Therefore, it is essential to develop tools to identify the...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
PeerJ Inc.
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10506587/ https://www.ncbi.nlm.nih.gov/pubmed/37727687 http://dx.doi.org/10.7717/peerj.16026 |
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author | Türk, Erdem Ayaz, Akif Yüksek, Ayhan Süzek, Barış E. |
author_facet | Türk, Erdem Ayaz, Akif Yüksek, Ayhan Süzek, Barış E. |
author_sort | Türk, Erdem |
collection | PubMed |
description | The discovery of low-coverage (i.e. uncovered) regions containing clinically significant variants, especially when they are related to the patient’s clinical phenotype, is critical for whole-exome sequencing (WES) based clinical diagnosis. Therefore, it is essential to develop tools to identify the existence of clinically important variants in low-coverage regions. Here, we introduce a desktop application, namely DEVOUR (DEleterious Variants On Uncovered Regions), that analyzes read alignments for WES experiments, identifies genomic regions with no or low-coverage (read depth < 5) and then annotates known variants in the low-coverage regions using clinical variant annotation databases. As a proof of concept, DEVOUR was used to analyze a total of 28 samples from a publicly available Hirschsprung disease-related WES project (NCBI Bioproject: https://www.ncbi.nlm.nih.gov/bioproject/?term=PRJEB19327), revealing the potential existence of 98 disease-associated variants in low-coverage regions. DEVOUR is available from https://github.com/projectDevour/DEVOUR under the MIT license. |
format | Online Article Text |
id | pubmed-10506587 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | PeerJ Inc. |
record_format | MEDLINE/PubMed |
spelling | pubmed-105065872023-09-19 DEVOUR: Deleterious Variants on Uncovered Regions in Whole-Exome Sequencing Türk, Erdem Ayaz, Akif Yüksek, Ayhan Süzek, Barış E. PeerJ Bioinformatics The discovery of low-coverage (i.e. uncovered) regions containing clinically significant variants, especially when they are related to the patient’s clinical phenotype, is critical for whole-exome sequencing (WES) based clinical diagnosis. Therefore, it is essential to develop tools to identify the existence of clinically important variants in low-coverage regions. Here, we introduce a desktop application, namely DEVOUR (DEleterious Variants On Uncovered Regions), that analyzes read alignments for WES experiments, identifies genomic regions with no or low-coverage (read depth < 5) and then annotates known variants in the low-coverage regions using clinical variant annotation databases. As a proof of concept, DEVOUR was used to analyze a total of 28 samples from a publicly available Hirschsprung disease-related WES project (NCBI Bioproject: https://www.ncbi.nlm.nih.gov/bioproject/?term=PRJEB19327), revealing the potential existence of 98 disease-associated variants in low-coverage regions. DEVOUR is available from https://github.com/projectDevour/DEVOUR under the MIT license. PeerJ Inc. 2023-09-15 /pmc/articles/PMC10506587/ /pubmed/37727687 http://dx.doi.org/10.7717/peerj.16026 Text en ©2023 Türk et al. https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, reproduction and adaptation in any medium and for any purpose provided that it is properly attributed. For attribution, the original author(s), title, publication source (PeerJ) and either DOI or URL of the article must be cited. |
spellingShingle | Bioinformatics Türk, Erdem Ayaz, Akif Yüksek, Ayhan Süzek, Barış E. DEVOUR: Deleterious Variants on Uncovered Regions in Whole-Exome Sequencing |
title | DEVOUR: Deleterious Variants on Uncovered Regions in Whole-Exome Sequencing |
title_full | DEVOUR: Deleterious Variants on Uncovered Regions in Whole-Exome Sequencing |
title_fullStr | DEVOUR: Deleterious Variants on Uncovered Regions in Whole-Exome Sequencing |
title_full_unstemmed | DEVOUR: Deleterious Variants on Uncovered Regions in Whole-Exome Sequencing |
title_short | DEVOUR: Deleterious Variants on Uncovered Regions in Whole-Exome Sequencing |
title_sort | devour: deleterious variants on uncovered regions in whole-exome sequencing |
topic | Bioinformatics |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10506587/ https://www.ncbi.nlm.nih.gov/pubmed/37727687 http://dx.doi.org/10.7717/peerj.16026 |
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