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
2023
Genome-wide analyses characterize shared heritability among cancers and identify novel cancer susceptibility regions
Lindström S, Wang L, Feng H, Majumdar A, Huo S, Macdonald J, Harrison T, Turman C, Chen H, Mancuso N, Bammler T, Consortium B, Gallinger S, Gruber S, Gunter M, Le Marchand L, Moreno V, Offit K, Study G, De Vivo I, O’Mara T, Spurdle A, Tomlinson I, Consortium E, Fitzgerald R, Gharahkhani P, Gockel I, Jankowski J, Macgregor S, Schumacher J, Barnholtz-Sloan J, Bondy M, Houlston R, Jenkins R, Melin B, Wrensch M, Brennan P, Christiani D, Johansson M, Mckay J, Aldrich M, Amos C, Landi M, Tardon A, Consortium I, Bishop D, Demenais F, Goldstein A, Iles M, Kanetsky P, Law M, Consortium O, Amundadottir L, Stolzenberg-Solomon R, Wolpin B, Consortium P, Klein A, Petersen G, Risch H, Consortium T, Chanock S, Purdue M, Scelo G, Pharoah P, Kar S, Hung R, Pasaniuc B, Kraft P. Genome-wide analyses characterize shared heritability among cancers and identify novel cancer susceptibility regions. Journal Of The National Cancer Institute 2023, 115: 712-732. PMID: 36929942, PMCID: PMC10248849, DOI: 10.1093/jnci/djad043.Peer-Reviewed Original ResearchConceptsGenome-wide association studiesTranscriptome-wide association studyCancer susceptibility lociGenome-wide genetic correlationSusceptibility lociAssociation studiesMultiple cancer typesCancer genome-wide association studyGenome-wide analysisCross-disease analysisGenetic correlationsSusceptibility regionsGWAS summary statisticsCancer typesGenetic risk variantsDistinct lociCancer heritabilityLociRisk variantsGenetic contributionEuropean ancestryPleiotropyAdditional regionsDifferent cancersHeritability
2020
A Transcriptome-Wide Association Study Identifies Novel Candidate Susceptibility Genes for Pancreatic Cancer
Zhong J, Jermusyk A, Wu L, Hoskins JW, Collins I, Mocci E, Zhang M, Song L, Chung CC, Zhang T, Xiao W, Albanes D, Andreotti G, Arslan AA, Babic A, Bamlet WR, Beane-Freeman L, Berndt S, Borgida A, Bracci PM, Brais L, Brennan P, Bueno-de-Mesquita B, Buring J, Canzian F, Childs EJ, Cotterchio M, Du M, Duell EJ, Fuchs C, Gallinger S, Gaziano JM, Giles GG, Giovannucci E, Goggins M, Goodman GE, Goodman PJ, Haiman C, Hartge P, Hasan M, Helzlsouer KJ, Holly EA, Klein EA, Kogevinas M, Kurtz RJ, LeMarchand L, Malats N, Männistö S, Milne R, Neale RE, Ng K, Obazee O, Oberg AL, Orlow I, Patel AV, Peters U, Porta M, Rothman N, Scelo G, Sesso HD, Severi G, Sieri S, Silverman D, Sund M, Tjønneland A, Thornquist MD, Tobias GS, Trichopoulou A, Van Den Eeden SK, Visvanathan K, Wactawski-Wende J, Wentzensen N, White E, Yu H, Yuan C, Zeleniuch-Jacquotte A, Hoover R, Brown K, Kooperberg C, Risch HA, Jacobs EJ, Li D, Yu K, Shu XO, Chanock SJ, Wolpin BM, Stolzenberg-Solomon RZ, Chatterjee N, Klein AP, Smith JP, Kraft P, Shi J, Petersen GM, Zheng W, Amundadottir LT. A Transcriptome-Wide Association Study Identifies Novel Candidate Susceptibility Genes for Pancreatic Cancer. Journal Of The National Cancer Institute 2020, 112: 1003-1012. PMID: 31917448, PMCID: PMC7566474, DOI: 10.1093/jnci/djz246.Peer-Reviewed Original ResearchConceptsTranscriptome-wide association studyCancer risk lociRisk lociAssociation studiesPancreatic cancer susceptibility lociGene expression prediction modelsNovel candidate susceptibility genesPossible causal genesGenome-wide association studiesGenome-wide associationCancer susceptibility lociCandidate susceptibility genesNormal pancreatic tissue samplesFunctional genesTranscriptome dataCausal genesNovel lociCandidate genesGene expressionSusceptibility lociGenesGenotype dataLociSusceptibility genesDifferent tissuesTranscriptome‐wide association study of breast cancer risk by estrogen‐receptor status
Feng H, Gusev A, Pasaniuc B, Wu L, Long J, Abu‐full Z, Aittomäki K, Andrulis IL, Anton‐Culver H, Antoniou AC, Arason A, Arndt V, Aronson KJ, Arun BK, Asseryanis E, Auer PL, Azzollini J, Balmaña J, Barkardottir RB, Barnes DR, Barrowdale D, Beckmann MW, Behrens S, Benitez J, Bermisheva M, Białkowska K, Blanco A, Blomqvist C, Boeckx B, Bogdanova NV, Bojesen SE, Bolla MK, Bonanni B, Borg A, Brauch H, Brenner H, Briceno I, Broeks A, Brüning T, Burwinkel B, Cai Q, Caldés T, Caligo MA, Campbell I, Canisius S, Campa D, Carter BD, Carter J, Castelao JE, Chang‐Claude J, Chanock SJ, Christiansen H, Chung WK, Claes KBM, Clarke CL, Collaborators G, Collaborators E, Collaborators G, Couch FJ, Cox A, Cross SS, Cybulski C, Czene K, Daly MB, de la Hoya M, De Leeneer K, Dennis J, Devilee P, Diez O, Domchek SM, Dörk T, dos‐Santos‐Silva I, Dunning AM, Dwek M, Eccles DM, Ejlertsen B, Ellberg C, Engel C, Eriksson M, Fasching PA, Fletcher O, Flyger H, Fostira F, Friedman E, Fritschi L, Frost D, Gabrielson M, Ganz PA, Gapstur SM, Garber J, García‐Closas M, García‐Sáenz J, Gaudet MM, Giles GG, Glendon G, Godwin AK, Goldberg MS, Goldgar DE, González‐Neira A, Greene MH, Gronwald J, Guénel P, Haiman CA, Hall P, Hamann U, Hake C, He W, Heyworth J, Hogervorst FBL, Hollestelle A, Hooning MJ, Hoover RN, Hopper JL, Huang G, Hulick PJ, Humphreys K, Imyanitov EN, Investigators A, Investigators H, Investigators B, Investigators O, Isaacs C, Jakimovska M, Jakubowska A, James P, Janavicius R, Jankowitz RC, John EM, Johnson N, Joseph V, Jung A, Karlan BY, Khusnutdinova E, Kiiski JI, Konstantopoulou I, Kristensen VN, Laitman Y, Lambrechts D, Lazaro C, Leroux D, Leslie G, Lester J, Lesueur F, Lindor N, Lindström S, Lo W, Loud JT, Lubiński J, Makalic E, Mannermaa A, Manoochehri M, Manoukian S, Margolin S, Martens JWM, Martinez ME, Matricardi L, Maurer T, Mavroudis D, McGuffog L, Meindl A, Menon U, Michailidou K, Kapoor PM, Miller A, Montagna M, Moreno F, Moserle L, Mulligan AM, Muranen TA, Nathanson KL, Neuhausen SL, Nevanlinna H, Nevelsteen I, Nielsen FC, Nikitina‐Zake L, Offit K, Olah E, Olopade OI, Olsson H, Osorio A, Papp J, Park‐Simon T, Parsons MT, Pedersen IS, Peixoto A, Peterlongo P, Peto J, Pharoah PDP, Phillips K, Plaseska‐Karanfilska D, Poppe B, Pradhan N, Prajzendanc K, Presneau N, Punie K, Pylkäs K, Radice P, Rantala J, Rashid MU, Rennert G, Risch HA, Robson M, Romero A, Saloustros E, Sandler DP, Santos C, Sawyer EJ, Schmidt MK, Schmidt DF, Schmutzler RK, Schoemaker MJ, Scott RJ, Sharma P, Shu X, Simard J, Singer CF, Skytte A, Soucy P, Southey MC, Spinelli JJ, Spurdle AB, Stone J, Swerdlow AJ, Tapper WJ, Taylor JA, Teixeira MR, Terry MB, Teulé A, Thomassen M, Thöne K, Thull DL, Tischkowitz M, Toland AE, Tollenaar RAEM, Torres D, Truong T, Tung N, Vachon CM, van Asperen C, van den Ouweland A, van Rensburg E, Vega A, Viel A, Vieiro‐Balo P, Wang Q, Wappenschmidt B, Weinberg CR, Weitzel JN, Wendt C, Winqvist R, Yang XR, Yannoukakos D, Ziogas A, Milne RL, Easton DF, Chenevix‐Trench G, Zheng W, Kraft P, Jiang X. Transcriptome‐wide association study of breast cancer risk by estrogen‐receptor status. Genetic Epidemiology 2020, 44: 442-468. PMID: 32115800, PMCID: PMC7987299, DOI: 10.1002/gepi.22288.Peer-Reviewed Original ResearchConceptsTranscriptome-wide association studyAssociation studiesWide association studyExpression quantitative lociGene expression dataTWAS approachConditional analysisBreast cancer risk genesQuantitative lociGenomic differencesLarge GWASExpression dataCancer risk genesGenesRisk genesBreast cancer genesCancer geneticsEstrogen receptor subtypesGWASOverall breast cancer riskER subtypesGTExSTXBP4Breast cancer geneticsLoci
2018
A Transcriptome-Wide Association Study Among 97,898 Women to Identify Candidate Susceptibility Genes for Epithelial Ovarian Cancer Risk
Lu Y, Beeghly-Fadiel A, Wu L, Guo X, Li B, Schildkraut JM, Im HK, Chen YA, Permuth JB, Reid BM, Teer JK, Moysich KB, Andrulis IL, Anton-Culver H, Arun BK, Bandera EV, Barkardottir RB, Barnes DR, Benitez J, Bjorge L, Brenton J, Butzow R, Caldes T, Caligo MA, Campbell I, Chang-Claude J, Claes KBM, Couch FJ, Cramer DW, Daly MB, deFazio A, Dennis J, Diez O, Domchek SM, Dörk T, Easton DF, Eccles DM, Fasching PA, Fortner RT, Fountzilas G, Friedman E, Ganz PA, Garber J, Giles GG, Godwin AK, Goldgar DE, Goodman MT, Greene MH, Gronwald J, Hamann U, Heitz F, Hildebrandt MAT, Høgdall CK, Hollestelle A, Hulick PJ, Huntsman DG, Imyanitov EN, Isaacs C, Jakubowska A, James P, Karlan BY, Kelemen LE, Kiemeney LA, Kjaer SK, Kwong A, Le ND, Leslie G, Lesueur F, Levine DA, Mattiello A, May T, McGuffog L, McNeish IA, Merritt MA, Modugno F, Montagna M, Neuhausen SL, Nevanlinna H, Nielsen FC, Nikitina-Zake L, Nussbaum RL, Offit K, Olah E, Olopade OI, Olson SH, Olsson H, Osorio A, Park SK, Parsons MT, Peeters PHM, Pejovic T, Peterlongo P, Phelan CM, Pujana MA, Ramus SJ, Rennert G, Risch H, Rodriguez GC, Rodríguez-Antona C, Romieu I, Rookus MA, Rossing MA, Rzepecka IK, Sandler DP, Schmutzler RK, Setiawan VW, Sharma P, Sieh W, Simard J, Singer CF, Song H, Southey MC, Spurdle AB, Sutphen R, Swerdlow AJ, Teixeira MR, Teo SH, Thomassen M, Tischkowitz M, Toland AE, Trichopoulou A, Tung N, Tworoger SS, van Rensburg EJ, Vanderstichele A, Vega A, Edwards DV, Webb PM, Weitzel JN, Wentzensen N, White E, Wolk A, Wu AH, Yannoukakos D, Zorn KK, Gayther SA, Antoniou AC, Berchuck A, Goode EL, Chenevix-Trench G, Sellers TA, Pharoah PDP, Zheng W, Long J. A Transcriptome-Wide Association Study Among 97,898 Women to Identify Candidate Susceptibility Genes for Epithelial Ovarian Cancer Risk. Cancer Research 2018, 78: 5419-5430. PMID: 30054336, PMCID: PMC6139053, DOI: 10.1158/0008-5472.can-18-0951.Peer-Reviewed Original ResearchConceptsGenome-wide association studiesNovel lociGWAS lociCausal genesMajority of GWASTranscriptome-wide association studyAssociation studiesGenotype-Tissue Expression (GTEx) projectLarge-scale genome-wide association studiesHigh-density genotyping dataPlausible causal genesPotential novel lociNovel genetic lociGWAS-identified variantsRNA sequencing dataDisease susceptibility variantsBonferroni-corrected significance levelTranscriptomic analysisExpression projectGenetic lociSummary statistics dataRisk lociGene expressionSequencing dataGenes