biostudies-literatureKar SPCancer Research UKNCATS NIH HHSNIEHS NIH HHSThe Francis Crick InstituteNCI NIH HHS1574-84https://www.ebi.ac.uk/biostudies/studies/S-EPMC4592449biostudies-literatureUnknown24(10)<h4>Background</h4>Genome-wide association studies (GWAS) have so far reported 12 loci associated with serous epithelial ovarian cancer (EOC) risk. We hypothesized that some of these loci function through nearby transcription factor (TF) genes and that putative target genes of these TFs as identified by coexpression may also be enriched for additional EOC risk associations.<h4>Methods</h4>We selected TF genes within 1 Mb of the top signal at the 12 genome-wide significant risk loci. Mutual information, a form of correlation, was used to build networks of genes strongly coexpressed with each selected TF gene in the unified microarray dataset of 489 serous EOC tumors from The Cancer Genome Atlas. Genes represented in this dataset were subsequently ranked using a gene-level test based on resuCancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive OncologyNetwork-Based Integration of GWAS and Gene Expression Identifies a HOX-Centric Network Associated with Serous Ovarian Cancer Risk.PMC4592449R01 CA080742P50 CA159981R03 CA113148R01 CA054419R01 CA149429P30 CA014089P50 CA105009R13 CA165638N01 PC067010R25 CA174664P01 CA017054K07 CA095666P30 CA076292R01 CA07601616561K22 CA138563R01 CA126841UL1 TR000005R01 CA067262R01 CA064277R01 CA106414R01 CA087696P30 CA016056P30 CA124435N01 CN025403P50 CA136393R01 CA087538P30 CA015083K07 CA092044R01 CA13692415960P30 CA008748R01 CA049449T32 CA009001T32 ES013678P30 CA071789R01 CA122443K07 CA143047R01 CA114343R01 CA058598R01 CA112523R01 CA074850R01 CA050385R03 CA115195N01 PC035137R01 CA168758R01 CA063682R37 CA070867K99 CA184415R01 CA172404U01 CA069417U19-CA148112R01 CA058860U19 CA14811210124R01 CA083918Heitz FChen YADork TSouthey MCSieh WLubinski JHogdall CKNedergaard LDicks ELiang DWalsh CBjorge LEaston DFOdunsi KGentry-Maharaj ALundvall LSalvesen HBShvetsov YBBogdanova NEkici ABMassuger LCramer DKelemen LEZheng WOrsulic SHillemanns PLester JTworoger SSModugno FHein APearce CLPermuth-Wey JRzepecka IKHosono SKarlan BYRudolph AGayther SAMonteiro ANLevine DATyrer JPVierkant RABisogna MHarrington PBean YTDansonka-Mieszkowska APhelan CMVan Nieuwenhuysen ECarty KSchildkraut JMZiogas AKelley JLambrechts SAntonenkova NPelttari LMWang-Gohrke SGoodman MTNarod SAWilkens LRNess RBLambrechts DHogdall EWentzensen NWicklund KGBaker HRisch HAWhittemore ASCybulski Cdu Bois ARossing MASiddiqui NPaul JLee AWWeber RPMatsuo KTangen ILPharoah PDPike MCHarter PTimorek AChen ZTsai YYWoo YLChenevix-Trench GHildebrandt MASellers TAWu XKellar MYang HKiemeney LAChang-Claude JAustralian Ovarian Cancer Study GroupRunnebaum IBLi QKupryjanczyk JFasching PASchwaab ITeo SHLu KEccles DNevanlinna HThompson PJWu ALeminen ABrooks-Wilson ABerchuck AKjaer SKLe NDPoole EMAnton-Culver HGrownwald JKar SPCook LSTerry KLBandera EVDoherty JAOlson SHPejovic TJensen AKrakstad CMenon USucheston-Campbell LEGao YTAustralian Cancer StudyBeckmann MWGiles GGRamus SJCunningham JMMcLaughlin JROrlow IDurst MLawrenson KMcGuire VShu XOAben KKMoysich KBVergote IEdwards RPDennis JRosen BSong Hvan Altena AMBrinton LCampbell IGlasspool RJi BTFreedman MLIversen ESRothstein JHButzow RLele SMcNeish IAJakubowska AFridley BLLissowska JGoode ELfalseNetwork-Based Integration of GWAS and Gene Expression Identifies a HOX-Centric Network Associated with Serous Ovarian Cancer Risk.<h4>Background</h4>Genome-wide association studies (GWAS) have so far reported 12 loci associated with serous epithelial ovarian cancer (EOC) risk. We hypothesized that some of these loci function through nearby transcription factor (TF) genes and that putative target genes of these TFs as identified by coexpression may also be enriched for additional EOC risk associations.<h4>Methods</h4>We selected TF genes within 1 Mb of the top signal at the 12 genome-wide significant risk loci. Mutual information, a form of correlation, was used to build networks of genes strongly coexpressed with each selected TF gene in the unified microarray dataset of 489 serous EOC tumors from The Cancer Genome Atlas. Genes represented in this dataset were subsequently ranked using a gene-level test based on resu2015-01-01T00:00:00Z2015 Oct2026-05-03T17:03:18.188Z2019-03-27T01:59:28ZS-EPMC45924492620950910.1158/1055-9965.epi-14-127010.1158/1055-9965.EPI-14-1270