2024
Integrative multi-omics analyses to identify the genetic and functional mechanisms underlying ovarian cancer risk regions
Dareng E, Coetzee S, Tyrer J, Peng P, Rosenow W, Chen S, Davis B, Dezem F, Seo J, Nameki R, Reyes A, Aben K, Anton-Culver H, Antonenkova N, Aravantinos G, Bandera E, Freeman L, Beckmann M, Beeghly-Fadiel A, Benitez J, Bernardini M, Bjorge L, Black A, Bogdanova N, Bolton K, Brenton J, Budzilowska A, Butzow R, Cai H, Campbell I, Cannioto R, Chang-Claude J, Chanock S, Chen K, Chenevix-Trench G, Group A, Chiew Y, Cook L, DeFazio A, Dennis J, Doherty J, Dörk T, du Bois A, Dürst M, Eccles D, Ene G, Fasching P, Flanagan J, Fortner R, Fostira F, Gentry-Maharaj A, Giles G, Goodman M, Gronwald J, Haiman C, Håkansson N, Heitz F, Hildebrandt M, Høgdall E, Høgdall C, Huang R, Jensen A, Jones M, Kang D, Karlan B, Karnezis A, Kelemen L, Kennedy C, Khusnutdinova E, Kiemeney L, Kjaer S, Kupryjanczyk J, Labrie M, Lambrechts D, Larson M, Le N, Lester J, Li L, Lubiński J, Lush M, Marks J, Matsuo K, May T, McLaughlin J, McNeish I, Menon U, Missmer S, Modugno F, Moffitt M, Monteiro A, Moysich K, Narod S, Nguyen-Dumont T, Odunsi K, Olsson H, Onland-Moret N, Park S, Pejovic T, Permuth J, Piskorz A, Prokofyeva D, Riggan M, Risch H, Rodríguez-Antona C, Rossing M, Sandler D, Setiawan V, Shan K, Song H, Southey M, Steed H, Sutphen R, Swerdlow A, Teo S, Terry K, Thompson P, Thomsen L, Titus L, Trabert B, Travis R, Tworoger S, Valen E, Van Nieuwenhuysen E, Edwards D, Vierkant R, Webb P, Group O, Weinberg C, Weise R, Wentzensen N, White E, Winham S, Wolk A, Woo Y, Wu A, Yan L, Yannoukakos D, Zeinomar N, Zheng W, Ziogas A, Berchuck A, Goode E, Huntsman D, Pearce C, Ramus S, Sellers T, Consortium T, Freedman M, Lawrenson K, Schildkraut J, Hazelett D, Plummer J, Kar S, Jones M, Pharoah P, Gayther S. Integrative multi-omics analyses to identify the genetic and functional mechanisms underlying ovarian cancer risk regions. American Journal Of Human Genetics 2024, 111: 1061-1083. PMID: 38723632, PMCID: PMC11179261, DOI: 10.1016/j.ajhg.2024.04.011.Peer-Reviewed Original ResearchTranscriptome-wide association studyRisk lociAssociation studiesTranscription factor ChIP-seqSusceptibility genesGenome-wide association analysisGenome-wide association studiesCausal risk variantsControls of European originTranscriptome-wide associationEpithelial ovarian cancerVariant Effect PredictorIntegrative multi-omics analysisMulti-omics analysisChIP-seqChromatin marksGenomic regionsFine-mappingSusceptibility lociInteractome analysisAssociation analysisEpithelial ovarian cancer histotypesRisk variantsTissue-specificLoci
2016
Meta-dimensional data integration identifies critical pathways for susceptibility, tumorigenesis and progression of endometrial cancer
Wei R, De Vivo I, Huang S, Zhu X, Risch H, Moore JH, Yu H, Garmire LX. Meta-dimensional data integration identifies critical pathways for susceptibility, tumorigenesis and progression of endometrial cancer. Oncotarget 2016, 7: 55249-55263. PMID: 27409342, PMCID: PMC5342415, DOI: 10.18632/oncotarget.10509.Peer-Reviewed Original ResearchConceptsEndometrial cancerEC riskSusceptible pathwaysCancer Genome Atlas (TCGA) samplesProgression of ECEndometrial Cancer StudyCommon female cancerGenome-wide association studiesEC cohortFemale cancersCell cycle pathwayCancerP53 signalingCommon pathwayGenetic polymorphismsCancer studiesSurvival dataProgressionCritical pathwaysGenetic information processing pathwaysMulti-omics analysisTumorigenesisCycle pathwayMetabolism pathwaysRisk
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