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Identifying simultaneous rearrangements in cancer genomes.

Author(s): Oesper, Layla; Dantas, Simone; Raphael, Benjamin J

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Abstract: MOTIVATION:The traditional view of cancer evolution states that a cancer genome accumulates a sequential ordering of mutations over a long period of time. However, in recent years it has been suggested that a cancer genome may instead undergo a one-time catastrophic event, such as chromothripsis, where a large number of mutations instead occur simultaneously. A number of potential signatures of chromothripsis have been proposed. In this work, we provide a rigorous formulation and analysis of the 'ability to walk the derivative chromosome' signature originally proposed by Korbel and Campbell. In particular, we show that this signature, as originally envisioned, may not always be present in a chromothripsis genome and we provide a precise quantification of under what circumstances it would be present. We also propose a variation on this signature, the H/T alternating fraction, which allows us to overcome some of the limitations of the original signature. RESULTS:We apply our measure to both simulated data and a previously analyzed real cancer dataset and find that the H/T alternating fraction may provide useful signal for distinguishing genomes having acquired mutations simultaneously from those acquired in a sequential fashion. AVAILABILITY AND IMPLEMENTATION:An implementation of the H/T alternating fraction is available at https://bitbucket.org/oesperlab/ht-altfrac. SUPPLEMENTARY INFORMATION:Supplementary data are available at Bioinformatics online.
Publication Date: Jan-2018
Citation: Oesper, Layla, Dantas, Simone, Raphael, Benjamin J. (2018). Identifying simultaneous rearrangements in cancer genomes.. Bioinformatics (Oxford, England), 34 (2), 346 - 352. doi:10.1093/bioinformatics/btx745
DOI: doi:10.1093/bioinformatics/btx745
ISSN: 1367-4803
EISSN: 1367-4811
Pages: 346 - 352
Language: eng
Type of Material: Journal Article
Journal/Proceeding Title: Bioinformatics (Oxford, England)
Version: Final published version. This is an open access article.



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