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VIRUSBreakend: Viral Integration Recognition Using Single Breakends

MOTIVATION: Integration of viruses into infected host cell DNA can cause DNA damage and disrupt genes. Recent cost reductions and growth of whole genome sequencing has produced a wealth of data in which viral presence and integration detection is possible. While key research and clinically relevant...

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Autores principales: Cameron, Daniel L, Jacobs, Nina, Roepman, Paul, Priestley, Peter, Cuppen, Edwin, Papenfuss, Anthony T
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8504616/
https://www.ncbi.nlm.nih.gov/pubmed/33973999
http://dx.doi.org/10.1093/bioinformatics/btab343
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author Cameron, Daniel L
Jacobs, Nina
Roepman, Paul
Priestley, Peter
Cuppen, Edwin
Papenfuss, Anthony T
author_facet Cameron, Daniel L
Jacobs, Nina
Roepman, Paul
Priestley, Peter
Cuppen, Edwin
Papenfuss, Anthony T
author_sort Cameron, Daniel L
collection PubMed
description MOTIVATION: Integration of viruses into infected host cell DNA can cause DNA damage and disrupt genes. Recent cost reductions and growth of whole genome sequencing has produced a wealth of data in which viral presence and integration detection is possible. While key research and clinically relevant insights can be uncovered, existing software has not achieved widespread adoption, limited in part due to high computational costs, the inability to detect a wide range of viruses, as well as precision and sensitivity. RESULTS: Here, we describe VIRUSBreakend, a high-speed tool that identifies viral DNA presence and genomic integration. It utilizes single breakends, breakpoints in which only one side can be unambiguously placed, in a novel virus-centric variant calling and assembly approach to identify viral integrations with high sensitivity and a near-zero false discovery rate. VIRUSBreakend detects viral integrations anywhere in the host genome including regions such as centromeres and telomeres unable to be called by existing tools. Applying VIRUSBreakend to a large metastatic cancer cohort, we demonstrate that it can reliably detect clinically relevant viral presence and integration including HPV, HBV, MCPyV, EBV and HHV-8. AVAILABILITY AND IMPLEMENTATION: VIRUSBreakend is part of the Genomic Rearrangement IDentification Software Suite (GRIDSS). It is available under a GPLv3 license from https://github.com/PapenfussLab/VIRUSBreakend. SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online.
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spelling pubmed-85046162021-10-13 VIRUSBreakend: Viral Integration Recognition Using Single Breakends Cameron, Daniel L Jacobs, Nina Roepman, Paul Priestley, Peter Cuppen, Edwin Papenfuss, Anthony T Bioinformatics Original Papers MOTIVATION: Integration of viruses into infected host cell DNA can cause DNA damage and disrupt genes. Recent cost reductions and growth of whole genome sequencing has produced a wealth of data in which viral presence and integration detection is possible. While key research and clinically relevant insights can be uncovered, existing software has not achieved widespread adoption, limited in part due to high computational costs, the inability to detect a wide range of viruses, as well as precision and sensitivity. RESULTS: Here, we describe VIRUSBreakend, a high-speed tool that identifies viral DNA presence and genomic integration. It utilizes single breakends, breakpoints in which only one side can be unambiguously placed, in a novel virus-centric variant calling and assembly approach to identify viral integrations with high sensitivity and a near-zero false discovery rate. VIRUSBreakend detects viral integrations anywhere in the host genome including regions such as centromeres and telomeres unable to be called by existing tools. Applying VIRUSBreakend to a large metastatic cancer cohort, we demonstrate that it can reliably detect clinically relevant viral presence and integration including HPV, HBV, MCPyV, EBV and HHV-8. AVAILABILITY AND IMPLEMENTATION: VIRUSBreakend is part of the Genomic Rearrangement IDentification Software Suite (GRIDSS). It is available under a GPLv3 license from https://github.com/PapenfussLab/VIRUSBreakend. SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online. Oxford University Press 2021-05-11 /pmc/articles/PMC8504616/ /pubmed/33973999 http://dx.doi.org/10.1093/bioinformatics/btab343 Text en © The Author(s) 2021. Published by Oxford University Press. 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 reuse, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Original Papers
Cameron, Daniel L
Jacobs, Nina
Roepman, Paul
Priestley, Peter
Cuppen, Edwin
Papenfuss, Anthony T
VIRUSBreakend: Viral Integration Recognition Using Single Breakends
title VIRUSBreakend: Viral Integration Recognition Using Single Breakends
title_full VIRUSBreakend: Viral Integration Recognition Using Single Breakends
title_fullStr VIRUSBreakend: Viral Integration Recognition Using Single Breakends
title_full_unstemmed VIRUSBreakend: Viral Integration Recognition Using Single Breakends
title_short VIRUSBreakend: Viral Integration Recognition Using Single Breakends
title_sort virusbreakend: viral integration recognition using single breakends
topic Original Papers
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8504616/
https://www.ncbi.nlm.nih.gov/pubmed/33973999
http://dx.doi.org/10.1093/bioinformatics/btab343
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