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dc.contributor.authorWebster, Philip
dc.contributor.authorDawes, Joanna C.
dc.contributor.authorDewchand, Hamlata
dc.contributor.authorTakacs, Katalin
dc.contributor.authorLadarola, Barbara
dc.contributor.authorBolt, Bruce J.
dc.contributor.authorCaceres, Juan J.
dc.contributor.authorKaczor, Jakub
dc.contributor.authorDharmalingam, Gopuraja
dc.contributor.authorDore, Marian
dc.contributor.authorGame, Laurence
dc.contributor.authorAdejumo, Thomas
dc.contributor.authorElliott, James
dc.contributor.authorNaresh, Kikkeri
dc.contributor.authorKarimi, Mohammad
dc.contributor.authorRekopoulou, Katerina
dc.contributor.authorTan, Ge
dc.contributor.authorPaccanaro, Alberto 
dc.contributor.authorUren, Anthony G.
dc.date.accessioned2022-04-06T21:57:20Z
dc.date.available2022-04-06T21:57:20Z
dc.date.issued2018
dc.identifier.urihttp://hdl.handle.net/20.500.14066/2833
dc.description.abstractDetermining whether recurrent but rare cancer mutations are bona fide driver mutations remains a bottleneck in cancer research. Here we present the most comprehensive analysis of murine leukemia virus-driven lymphomagenesis produced to date, sequencing 700,000 mutations from >500 malignancies collected at time points throughout tumor development. This scale of data allows novel statistical approaches for identifying selected mutations and yields a high-resolution, genome-wide map of the selective forces surrounding cancer gene loci. We also demonstrate negative selection of mutations that may be deleterious to tumor development indicating novel avenues for therapy. Screening of two BCL2 transgenic models confirmed known drivers of human non-Hodgkin lymphoma, and implicates novel candidates including modifiers of immunosurveillance and MHC loci. Correlating mutations with genotypic and phenotypic features independently of local variance in mutation density also provides support for weakly evidenced cancer genes.es
dc.description.sponsorshipCONACYT – Consejo Nacional de Ciencia y Tecnologíaes
dc.language.isoenges
dc.subject.classification1301 I+D en relación con las Ciencias naturaleses
dc.subject.otherSUBCLONAL MUTATIONes
dc.subject.otherGENOTYPIC AND PHENOTYPIC FEATURESes
dc.subject.otherCANCER GENESes
dc.subject.otherLEUCEMIAes
dc.subject.otherBIOLOGIA MOLECULARes
dc.titleSubclonal mutation selection in mouse lymphomagenesis identifies known cancer loci and suggests novel candidateses
dc.typeresearch articlees
dc.identifier.doi10.1038/s41467-018-05069-9es
dc.description.fundingtextPROCIENCIAes
dc.issue.number2649es
dc.journal.titleNature Communicationses
dc.page.initial1es
dc.page.final14es
dc.relation.projectCONACYT14-INV-088es
dc.rights.accessRightsopen accesses
dc.subject.ocdeBIOLOGIAes
dc.volume.number9es


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