VIRUSBreakend: Viral Integration Recognition Using Single Breakends

Cameron, DL; Jacobs, N; Roepman, P; Priestley, P; Cuppen, E; Papenfuss, AT

Author(s): Cameron, DL; Jacobs, N; Roepman, P; Priestley, P; Cuppen, E; Papenfuss, AT;
Details: Publication Year 2021-10,Volume 37,Issue #19,Page 3115-3119
Journal Title: Bioinformatics
Publication Type: Research article
Abstract: 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.
Department(s): Laboratory Research
PubMed ID: 33973999
Publisher's Version: https://doi.org/10.1093/bioinformatics/btab343
Open Access at Publisher's Site: https://doi.org/10.1093/bioinformatics/btab343
Terms of Use/Rights Notice: Refer to copyright notice on published article.

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