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dc.contributor.authorRubanova, Yulia
dc.contributor.authorShi, Ruian
dc.contributor.authorHarrigan, Caitlin F.
dc.contributor.authorLi, Roujia
dc.contributor.authorWintersinger, Jeff
dc.contributor.authorSahin, Nil
dc.contributor.authorDeshwar, Amit
dc.contributor.authorMorris, Quaid
dc.contributor.authorDentro, Stefan C.
dc.contributor.authorLeshchiner, Ignaty
dc.contributor.authorGerstung, Moritz
dc.contributor.authorJolly, Clemency
dc.contributor.authorHaase, Kerstin
dc.contributor.authorTarabichi, Maxime
dc.contributor.authorDeshwar, Amit G.
dc.contributor.authorYu, Kaixian
dc.contributor.authorGonzalez, Santiago
dc.contributor.authorMacintyre, Geoff
dc.contributor.authorAdams, David J.
dc.contributor.authorAnur, Pavana
dc.contributor.authorBeroukhim, Rameen
dc.contributor.authorBoutros, Paul C.
dc.contributor.authorBowtell, David D.
dc.contributor.authorCampbell, Peter J.
dc.contributor.authorCao, Shaolong
dc.contributor.authorChristie, Elizabeth L.
dc.contributor.authorCmero, Marek
dc.contributor.authorCun, Yupeng
dc.contributor.authorDawson, Kevin J.
dc.contributor.authorDemeulemeester, Jonas
dc.contributor.authorDonmez, Nilgun
dc.contributor.authorDrews, Ruben M.
dc.contributor.authorEils, Roland
dc.contributor.authorFan, Yu
dc.contributor.authorFittall, Matthew
dc.contributor.authorGarsed, Dale W.
dc.contributor.authorGetz, Gad
dc.contributor.authorHa, Gavin
dc.contributor.authorImielinski, Marcin
dc.contributor.authorJerman, Lara
dc.contributor.authorJi, Yuan
dc.contributor.authorKleinheinz, Kortine
dc.contributor.authorLee, Juhee
dc.contributor.authorLee-Six, Henry
dc.contributor.authorLivitz, Dimitri G.
dc.contributor.authorMalikic, Salem
dc.contributor.authorMarkowetz, Florian
dc.contributor.authorMartincorena, Inigo
dc.contributor.authorMitchell, Thomas J.
dc.contributor.authorMustonen, Ville
dc.contributor.authorOesper, Layla
dc.contributor.authorPeifer, Martin
dc.contributor.authorPeto, Myron
dc.contributor.authorRaphael, Benjamin J.
dc.contributor.authorRosebrock, Daniel
dc.contributor.authorSahinalp, S. Cenk
dc.contributor.authorSalcedo, Adriana
dc.contributor.authorSchlesner, Matthias
dc.contributor.authorSchumacher, Steven
dc.contributor.authorSengupta, Subhajit
dc.contributor.authorShin, Seung Jun
dc.contributor.authorSpiro, Oliver
dc.contributor.authorStein, Lincoln D.
dc.contributor.authorVázquez-García, Ignacio
dc.contributor.authorVembu, Shankar
dc.contributor.authorWheeler, David A.
dc.contributor.authorYang, Tsun-Po
dc.contributor.authorYao, Xiaotong
dc.contributor.authorYuan, Ke
dc.contributor.authorZhu, Hongtu
dc.contributor.authorWang, Wenyi
dc.contributor.authorMorris, Quaid D.
dc.contributor.authorSpellman, Paul T.
dc.contributor.authorWedge, David C.
dc.contributor.authorVan Loo, Peter
dc.date.accessioned2021-02-04T16:24:57Z
dc.date.available2021-02-04T16:24:57Z
dc.date.issued2020-02-05
dc.date.submitted2018-11-22
dc.identifier.others41467-020-14352-7
dc.identifier.other14352
dc.identifier.urihttps://www.repository.cam.ac.uk/handle/1810/317152
dc.description.abstractAbstract: The type and genomic context of cancer mutations depend on their causes. These causes have been characterized using signatures that represent mutation types that co-occur in the same tumours. However, it remains unclear how mutation processes change during cancer evolution due to the lack of reliable methods to reconstruct evolutionary trajectories of mutational signature activity. Here, as part of the ICGC/TCGA Pan-Cancer Analysis of Whole Genomes (PCAWG) Consortium, which aggregated whole-genome sequencing data from 2658 cancers across 38 tumour types, we present TrackSig, a new method that reconstructs these trajectories using optimal, joint segmentation and deconvolution of mutation type and allele frequencies from a single tumour sample. In simulations, we find TrackSig has a 3–5% activity reconstruction error, and 12% false detection rate. It outperforms an aggressive baseline in situations with branching evolution, CNA gain, and neutral mutations. Applied to data from 2658 tumours and 38 cancer types, TrackSig permits pan-cancer insight into evolutionary changes in mutational processes.
dc.languageen
dc.publisherNature Publishing Group UK
dc.rightsAttribution 4.0 International (CC BY 4.0)en
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/en
dc.subjectArticle
dc.subject/631/67/68
dc.subject/631/114/2397
dc.subjectarticle
dc.titleReconstructing evolutionary trajectories of mutation signature activities in cancer using TrackSig
dc.typeArticle
dc.date.updated2021-02-04T16:24:56Z
prism.issueIdentifier1
prism.publicationNameNature Communications
prism.volume11
dc.identifier.doi10.17863/CAM.64263
dcterms.dateAccepted2019-12-23
rioxxterms.versionofrecord10.1038/s41467-020-14352-7
rioxxterms.versionVoR
rioxxterms.licenseref.urihttp://creativecommons.org/licenses/by/4.0/
dc.contributor.orcidHarrigan, Caitlin F. [0000-0002-9243-9648]
dc.contributor.orcidMorris, Quaid [0000-0002-2760-6999]
dc.identifier.eissn2041-1723


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Attribution 4.0 International (CC BY 4.0)
Except where otherwise noted, this item's licence is described as Attribution 4.0 International (CC BY 4.0)