2019
Genome-wide Analysis of Common Copy Number Variation and Epithelial Ovarian Cancer Risk
Reid BM, Permuth JB, Chen YA, Fridley BL, Iversen ES, Chen Z, Jim H, Vierkant RA, Cunningham JM, Barnholtz-Sloan JS, Narod S, Risch H, Schildkraut JM, Goode EL, Monteiro AN, Sellers TA. Genome-wide Analysis of Common Copy Number Variation and Epithelial Ovarian Cancer Risk. Cancer Epidemiology Biomarkers & Prevention 2019, 28: 1117-1126. PMID: 30948450, PMCID: PMC6606353, DOI: 10.1158/1055-9965.epi-18-0833.Peer-Reviewed Original ResearchConceptsCommon CNV regionsCopy number variationsEOC susceptibilityNumber variationsTumor gene expressionGenome-wide analysisDNA copy number variationsWide association studyCommon copy number variationCancer Genome AtlasGenetic variationCNV regionsAssociation studiesFrequency variantsTCGA tumorsSomatic deletionGenome AtlasDeletion
2015
Network-Based Integration of GWAS and Gene Expression Identifies a HOX-Centric Network Associated with Serous Ovarian Cancer Risk
Kar SP, Tyrer JP, Li Q, Lawrenson K, Aben KK, Anton-Culver H, Antonenkova N, Chenevix-Trench G, Study O, Group A, Baker H, Bandera EV, Bean YT, Beckmann MW, Berchuck A, Bisogna M, Bjørge L, Bogdanova N, Brinton L, Brooks-Wilson A, Butzow R, Campbell I, Carty K, Chang-Claude J, Chen YA, Chen Z, Cook LS, Cramer D, Cunningham JM, Cybulski C, Dansonka-Mieszkowska A, Dennis J, Dicks E, Doherty JA, Dörk T, du Bois A, Dürst M, Eccles D, Easton DF, Edwards RP, Ekici AB, Fasching PA, Fridley BL, Gao YT, Gentry-Maharaj A, Giles GG, Glasspool R, Goode EL, Goodman MT, Grownwald J, Harrington P, Harter P, Hein A, Heitz F, Hildebrandt MA, Hillemanns P, Hogdall E, Hogdall CK, Hosono S, Iversen ES, Jakubowska A, Paul J, Jensen A, Ji BT, Karlan BY, Kjaer SK, Kelemen LE, Kellar M, Kelley J, Kiemeney LA, Krakstad C, Kupryjanczyk J, Lambrechts D, Lambrechts S, Le ND, Lee AW, Lele S, Leminen A, Lester J, Levine DA, Liang D, Lissowska J, Lu K, Lubinski J, Lundvall L, Massuger L, Matsuo K, McGuire V, McLaughlin JR, McNeish IA, Menon U, Modugno F, Moysich KB, Narod SA, Nedergaard L, Ness RB, Nevanlinna H, Odunsi K, Olson SH, Orlow I, Orsulic S, Weber RP, Pearce CL, Pejovic T, Pelttari LM, Permuth-Wey J, Phelan CM, Pike MC, Poole EM, Ramus SJ, Risch HA, Rosen B, Rossing MA, Rothstein JH, Rudolph A, Runnebaum IB, Rzepecka IK, Salvesen HB, Schildkraut JM, Schwaab I, Shu XO, Shvetsov YB, Siddiqui N, Sieh W, Song H, Southey MC, Sucheston-Campbell LE, Tangen IL, Teo SH, Terry KL, Thompson PJ, Timorek A, Tsai YY, Tworoger SS, van Altena AM, Van Nieuwenhuysen E, Vergote I, Vierkant RA, Wang-Gohrke S, Walsh C, Wentzensen N, Whittemore AS, Wicklund KG, Wilkens LR, Woo YL, Wu X, Wu A, Yang H, Zheng W, Ziogas A, Sellers TA, Monteiro AN, Freedman ML, Gayther SA, Pharoah PD. Network-Based Integration of GWAS and Gene Expression Identifies a HOX-Centric Network Associated with Serous Ovarian Cancer Risk. Cancer Epidemiology Biomarkers & Prevention 2015, 24: 1574-1584. PMID: 26209509, PMCID: PMC4592449, DOI: 10.1158/1055-9965.epi-14-1270.Peer-Reviewed Original ResearchConceptsGenome-wide association studiesTF genesGenome-wide significant risk lociAssociation studiesTranscription factor genesNetwork of genesPutative target genesSignificant risk lociGene-level testsIndependent association studiesContext-specific datasetsSerous ovarian cancer riskCancer Genome AtlasLocus functionsTarget genesFactor genesEnrichment analysisRisk lociGene expressionTop signalsGenesMicroarray datasetsNetworks AssociatedEOC tumorsGenome Atlas
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