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dc.contributor.authorPaczkowska, Marta
dc.contributor.authorBarenboim, Jonathan
dc.contributor.authorSintupisut, Nardnisa
dc.contributor.authorFox, Natalie S
dc.contributor.authorZhu, Helen
dc.contributor.authorAbd-Rabbo, Diala
dc.contributor.authorMee, Miles W
dc.contributor.authorBoutros, Paul C
dc.contributor.authorPCAWG Drivers and Functional Interpretation Working Group
dc.contributor.authorReimand, Jüri
dc.contributor.authorPCAWG Consortium
dc.date.accessioned2021-02-04T16:26:46Z
dc.date.available2021-02-04T16:26:46Z
dc.date.issued2020-02-05
dc.date.submitted2018-12-17
dc.identifier.issn2041-1723
dc.identifier.others41467-019-13983-9
dc.identifier.other13983
dc.identifier.urihttps://www.repository.cam.ac.uk/handle/1810/317169
dc.descriptionFunder: BioTalent Canada Student Internship
dc.descriptionFunder: Canadian Institutes of Health Research (CIHR) Canadian Graduate Scholarship
dc.descriptionFunder: Ontario Institute for Cancer Research (OICR) Investigator Awards provided by the Government of Ontario; Terry Fox Research Institute (TFRI) and Canadian Institutes of Health Research (CIHR) New Investigator Awards.
dc.description.abstractMulti-omics datasets represent distinct aspects of the central dogma of molecular biology. Such high-dimensional molecular profiles pose challenges to data interpretation and hypothesis generation. ActivePathways is an integrative method that discovers significantly enriched pathways across multiple datasets using statistical data fusion, rationalizes contributing evidence and highlights associated genes. 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 tumor types, we integrated genes with coding and non-coding mutations and revealed frequently mutated pathways and additional cancer genes with infrequent mutations. We also analyzed prognostic molecular pathways by integrating genomic and transcriptomic features of 1780 breast cancers and highlighted associations with immune response and anti-apoptotic signaling. Integration of ChIP-seq and RNA-seq data for master regulators of the Hippo pathway across normal human tissues identified processes of tissue regeneration and stem cell regulation. ActivePathways is a versatile method that improves systems-level understanding of cellular organization in health and disease through integration of multiple molecular datasets and pathway annotations.
dc.languageen
dc.publisherSpringer Science and Business Media LLC
dc.rightsAttribution 4.0 International (CC BY 4.0)
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/
dc.subjectArticle
dc.subject/631/67/69
dc.subject/631/114/2401
dc.subject/631/114/2403
dc.subject/45
dc.subject/49
dc.subject/38
dc.subject/38/91
dc.subject/38/39
dc.subject/139
dc.subject/119
dc.subjectarticle
dc.titleIntegrative pathway enrichment analysis of multivariate omics data.
dc.typeArticle
dc.date.updated2021-02-04T16:26:45Z
prism.issueIdentifier1
prism.publicationNameNat Commun
prism.volume11
dc.identifier.doi10.17863/CAM.64280
dcterms.dateAccepted2019-12-11
rioxxterms.versionofrecord10.1038/s41467-019-13983-9
rioxxterms.versionVoR
rioxxterms.licenseref.urihttp://creativecommons.org/licenses/by/4.0/
dc.contributor.orcidBoutros, Paul C [0000-0003-0553-7520]
dc.contributor.orcidReimand, Jüri [0000-0002-2299-2309]
dc.identifier.eissn2041-1723
cam.issuedOnline2020-02-05


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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)