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 ResearchMeSH KeywordsGenetic Predisposition to DiseaseGenome-Wide Association StudyHumansMaleNeoplasmsPolymorphism, Single NucleotideRisk FactorsTranscriptomeConceptsGenome-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
2022
Polygenic risk modeling for prediction of epithelial ovarian cancer risk
Dareng EO, Tyrer JP, Barnes DR, Jones MR, Yang X, Aben KKH, Adank MA, Agata S, Andrulis IL, Anton-Culver H, Antonenkova NN, Aravantinos G, Arun BK, Augustinsson A, Balmaña J, Bandera EV, Barkardottir RB, Barrowdale D, Beckmann MW, Beeghly-Fadiel A, Benitez J, Bermisheva M, Bernardini MQ, Bjorge L, Black A, Bogdanova NV, Bonanni B, Borg A, Brenton JD, Budzilowska A, Butzow R, Buys SS, Cai H, Caligo MA, Campbell I, Cannioto R, Cassingham H, Chang-Claude J, Chanock SJ, Chen K, Chiew YE, Chung WK, Claes KBM, Colonna S, Cook L, Couch F, Daly M, Dao F, Davies E, de la Hoya M, de Putter R, Dennis J, DePersia A, Devilee P, Diez O, Ding Y, Doherty J, Domchek S, Dörk T, du Bois A, Dürst M, Eccles D, Eliassen H, Engel C, Evans G, Fasching P, Flanagan J, Fortner R, Machackova E, Friedman E, Ganz P, Garber J, Gensini F, Giles G, Glendon G, Godwin A, Goodman M, Greene M, Gronwald J, Hahnen E, Haiman C, Håkansson N, Hamann U, Hansen T, Harris H, Hartman M, Heitz F, Hildebrandt M, Høgdall E, Høgdall C, Hopper J, Huang R, Huff C, Hulick P, Huntsman D, Imyanitov E, Isaacs C, Jakubowska A, James P, Janavicius R, Jensen A, Johannsson O, John E, Jones M, Kang D, Karlan B, Karnezis A, Kelemen L, Khusnutdinova E, Kiemeney L, Kim B, Kjaer S, Komenaka I, Kupryjanczyk J, Kurian A, Kwong A, Lambrechts D, Larson M, Lazaro C, Le N, Leslie G, Lester J, Lesueur F, Levine D, Li L, Li J, Loud J, Lu K, Lubiński J, Mai P, Manoukian S, Marks J, Matsuno R, Matsuo K, May T, McGuffog L, McLaughlin J, McNeish I, Mebirouk N, Menon U, Miller A, Milne R, Minlikeeva A, Modugno F, Montagna M, Moysich K, Munro E, Nathanson K, Neuhausen S, Nevanlinna H, Yie J, Nielsen H, Nielsen F, Nikitina-Zake L, Odunsi K, Offit K, Olah E, Olbrecht S, Olopade O, Olson S, Olsson H, Osorio A, Papi L, Park S, Parsons M, Pathak H, Pedersen I, Peixoto A, Pejovic T, Perez-Segura P, Permuth J, Peshkin B, Peterlongo P, Piskorz A, Prokofyeva D, Radice P, Rantala J, Riggan M, Risch H, Rodriguez-Antona C, Ross E, Rossing M, Runnebaum I, Sandler D, Santamariña M, Soucy P, Schmutzler R, Setiawan V, Shan K, Sieh W, Simard J, Singer C, Sokolenko A, Song H, Southey M, Steed H, Stoppa-Lyonnet D, Sutphen R, Swerdlow A, Tan Y, Teixeira M, Teo S, Terry K, Terry M, Thomassen M, Thompson P, Thomsen L, Thull D, Tischkowitz M, Titus L, Toland A, Torres D, Trabert B, Travis R, Tung N, Tworoger S, Valen E, van Altena A, van der Hout A, Van Nieuwenhuysen E, van Rensburg E, Vega A, Edwards D, Vierkant R, Wang F, Wappenschmidt B, Webb P, Weinberg C, Weitzel J, Wentzensen N, White E, Whittemore A, Winham S, Wolk A, Woo Y, Wu A, Yan L, Yannoukakos D, Zavaglia K, Zheng W, Ziogas A, Zorn K, Kleibl Z, Easton D, Lawrenson K, DeFazio A, Sellers T, Ramus S, Pearce C, Monteiro A, Cunningham J, Goode E, Schildkraut J, Berchuck A, Chenevix-Trench G, Gayther S, Antoniou A, Pharoah P. Polygenic risk modeling for prediction of epithelial ovarian cancer risk. European Journal Of Human Genetics 2022, 30: 349-362. PMID: 35027648, PMCID: PMC8904525, DOI: 10.1038/s41431-021-00987-7.Peer-Reviewed Original Research
2021
The predictive ability of the 313 variant–based polygenic risk score for contralateral breast cancer risk prediction in women of European ancestry with a heterozygous BRCA1 or BRCA2 pathogenic variant
Lakeman IMM, van den Broek AJ, Vos JAM, Barnes DR, Adlard J, Andrulis IL, Arason A, Arnold N, Arun BK, Balmaña J, Barrowdale D, Benitez J, Borg A, Caldés T, Caligo MA, Chung WK, Claes KBM, Collée J, Couch F, Daly M, Dennis J, Dhawan M, Domchek S, Eeles R, Engel C, Evans D, Feliubadaló L, Foretova L, Friedman E, Frost D, Ganz P, Garber J, Gayther S, Gerdes A, Godwin A, Goldgar D, Hahnen E, Hake C, Hamann U, Hogervorst F, Hooning M, Hopper J, Hulick P, Imyanitov E, Isaacs C, Izatt L, Jakubowska A, James P, Janavicius R, Jensen U, Jiao Y, John E, Joseph V, Karlan B, Kets C, Konstantopoulou I, Kwong A, Legrand C, Leslie G, Lesueur F, Loud J, Lubiński J, Manoukian S, McGuffog L, Miller A, Gomes D, Montagna M, Mouret-Fourme E, Nathanson K, Neuhausen S, Nevanlinna H, Yie J, Olah E, Olopade O, Park S, Parsons M, Peterlongo P, Piedmonte M, Radice P, Rantala J, Rennert G, Risch H, Schmutzler R, Sharma P, Simard J, Singer C, Stadler Z, Stoppa-Lyonnet D, Sutter C, Tan Y, Teixeira M, Teo S, Teulé A, Thomassen M, Thull D, Tischkowitz M, Toland A, Tung N, van Rensburg E, Vega A, Wappenschmidt B, Devilee P, van Asperen C, Bernstein J, Offit K, Easton D, Rookus M, Chenevix-Trench G, Antoniou A, Robson M, Schmidt M. The predictive ability of the 313 variant–based polygenic risk score for contralateral breast cancer risk prediction in women of European ancestry with a heterozygous BRCA1 or BRCA2 pathogenic variant. Genetics In Medicine 2021, 23: 1726-1737. PMID: 34113011, PMCID: PMC8460445, DOI: 10.1038/s41436-021-01198-7.Peer-Reviewed Original ResearchMeSH KeywordsAdultBRCA1 ProteinBRCA2 ProteinBreast NeoplasmsFemaleGenetic Predisposition to DiseaseHeterozygoteHumansMutationRetrospective StudiesRisk FactorsConceptsCBC riskHazard ratioFirst BCC-indexPolygenic risk scoresRisk scoreConfidence intervalsContralateral breast cancer riskBreast cancer polygenic risk scoreBRCA2 pathogenic variantsAge 40 yearsBreast cancer riskMultifactorial risk modelEuropean ancestryModifiers of BRCA1/2Breast cancer risk predictionCancer risk predictionConsortium of InvestigatorsRetrospective seriesInvasive BCPathological characteristicsFamily historyEstrogen receptorHeterozygous BRCA1Cancer riskA multilayered post-GWAS assessment on genetic susceptibility to pancreatic cancer
López de Maturana E, Rodríguez JA, Alonso L, Lao O, Molina-Montes E, Martín-Antoniano IA, Gómez-Rubio P, Lawlor R, Carrato A, Hidalgo M, Iglesias M, Molero X, Löhr M, Michalski C, Perea J, O’Rorke M, Barberà VM, Tardón A, Farré A, Muñoz-Bellvís L, Crnogorac-Jurcevic T, Domínguez-Muñoz E, Gress T, Greenhalf W, Sharp L, Arnes L, Cecchini L, Balsells J, Costello E, Ilzarbe L, Kleeff J, Kong B, Márquez M, Mora J, O’Driscoll D, Scarpa A, Ye W, Yu J, García-Closas M, Kogevinas M, Rothman N, Silverman D, Albanes D, Arslan A, Beane-Freeman L, Bracci P, Brennan P, Bueno-de-Mesquita B, Buring J, Canzian F, Du M, Gallinger S, Gaziano J, Goodman P, Gunter M, LeMarchand L, Li D, Neale R, Peters U, Petersen G, Risch H, Sánchez M, Shu X, Thornquist M, Visvanathan K, Zheng W, Chanock S, Easton D, Wolpin B, Stolzenberg-Solomon R, Klein A, Amundadottir L, Marti-Renom M, Real F, Malats N. A multilayered post-GWAS assessment on genetic susceptibility to pancreatic cancer. Genome Medicine 2021, 13: 15. PMID: 33517887, PMCID: PMC7849104, DOI: 10.1186/s13073-020-00816-4.Peer-Reviewed Original ResearchConceptsSilico functional analysisFunctional analysisPublic genomic informationUnfolded protein responseMeta-analysis p-valueLow-frequency variantsPc locusGWAS hitsGenomic informationPhenotypic varianceProtein responseSpatial autocorrelation analysisER stressMajor regulatorFrequency variantsPancreatic acinar cellsGenetic susceptibilityCandidate variantsFactor interplayComplex diseasesIndependent variantsGWASInherited basisLow p-valuesAcinar cells
2020
Polygenic risk scores and breast and epithelial ovarian cancer risks for carriers of BRCA1 and BRCA2 pathogenic variants
Barnes DR, Rookus MA, McGuffog L, Leslie G, Mooij TM, Dennis J, Mavaddat N, Adlard J, Ahmed M, Aittomäki K, Andrieu N, Andrulis IL, Arnold N, Arun BK, Azzollini J, Balmaña J, Barkardottir RB, Barrowdale D, Benitez J, Berthet P, Białkowska K, Blanco AM, Blok MJ, Bonanni B, Boonen SE, Borg Å, Bozsik A, Bradbury AR, Brennan P, Brewer C, Brunet J, Buys SS, Caldés T, Caligo MA, Campbell I, Christensen LL, Chung WK, Claes KBM, Colas C, Collonge-Rame M, Cook J, Daly M, Davidson R, de la Hoya M, de Putter R, Delnatte C, Devilee P, Diez O, Ding Y, Domchek S, Dorfling C, Dumont M, Eeles R, Ejlertsen B, Engel C, Evans D, Faivre L, Foretova L, Fostira F, Friedlander M, Friedman E, Frost D, Ganz P, Garber J, Gehrig A, Gerdes A, Gesta P, Giraud S, Glendon G, Godwin A, Goldgar D, González-Neira A, Greene M, Gschwantler-Kaulich D, Hahnen E, Hamann U, Hanson H, Hentschel J, Hogervorst F, Hooning M, Horvath J, Hu C, Hulick P, Imyanitov E, Isaacs C, Izatt L, Izquierdo A, Jakubowska A, James P, Janavicius R, John E, Joseph V, Karlan B, Kast K, Koudijs M, Kruse T, Kwong A, Laitman Y, Lasset C, Lazaro C, Lester J, Lesueur F, Liljegren A, Loud J, Lubiński J, Mai P, Manoukian S, Mari V, Mebirouk N, Meijers-Heijboer H, Meindl A, Mensenkamp A, Miller A, Montagna M, Mouret-Fourme E, Mukherjee S, Mulligan A, Nathanson K, Neuhausen S, Nevanlinna H, Niederacher D, Nielsen F, Nikitina-Zake L, Noguès C, Olah E, Olopade O, Ong K, O’Shaughnessy-Kirwan A, Osorio A, Ott C, Papi L, Park S, Parsons M, Pedersen I, Peissel B, Peixoto A, Peterlongo P, Pfeiler G, Phillips K, Prajzendanc K, Pujana M, Radice P, Ramser J, Ramus S, Rantala J, Rennert G, Risch H, Robson M, Rønlund K, Salani R, Schuster H, Senter L, Shah P, Sharma P, Side L, Singer C, Slavin T, Soucy P, Southey M, Spurdle A, Steinemann D, Steinsnyder Z, Stoppa-Lyonnet D, Sutter C, Tan Y, Teixeira M, Teo S, Thull D, Tischkowitz M, Tognazzo S, Toland A, Trainer A, Tung N, van Engelen K, van Rensburg E, Vega A, Vierstraete J, Wagner G, Walker L, Wang-Gohrke S, Wappenschmidt B, Weitzel J, Yadav S, Yang X, Yannoukakos D, Zimbalatti D, Offit K, Thomassen M, Couch F, Schmutzler R, Simard J, Easton D, Chenevix-Trench G, Antoniou A. Polygenic risk scores and breast and epithelial ovarian cancer risks for carriers of BRCA1 and BRCA2 pathogenic variants. Genetics In Medicine 2020, 22: 1653-1666. PMID: 32665703, PMCID: PMC7521995, DOI: 10.1038/s41436-020-0862-x.Peer-Reviewed Original ResearchMeSH KeywordsBRCA1 ProteinBRCA2 ProteinBreast NeoplasmsCarcinoma, Ovarian EpithelialFemaleGenetic Predisposition to DiseaseHeterozygoteHumansMutationOvarian NeoplasmsProspective StudiesRetrospective StudiesRisk FactorsConceptsEpithelial ovarian cancerPathogenic variant carriersProspective cohortPolygenic risk scoresVariant carriersCancer riskRisk scoreStrong associationEOC riskHigh-grade serous epithelial ovarian cancerSerous epithelial ovarian cancerER-positive BCBRCA2 pathogenic variantsCarriers of BRCA1Absolute risk differenceEpithelial ovarian cancer riskGeneral population estimatesOvarian cancer riskHR estimatesBRCA2 pathogenic variant carriersBRCA1 carriersBRCA1/2 carriersOvarian cancerBC riskEstrogen receptorAssessment of polygenic architecture and risk prediction based on common variants across fourteen cancers
Zhang YD, Hurson AN, Zhang H, Choudhury PP, Easton DF, Milne RL, Simard J, Hall P, Michailidou K, Dennis J, Schmidt MK, Chang-Claude J, Gharahkhani P, Whiteman D, Campbell PT, Hoffmeister M, Jenkins M, Peters U, Hsu L, Gruber SB, Casey G, Schmit SL, O’Mara T, Spurdle AB, Thompson DJ, Tomlinson I, De Vivo I, Landi MT, Law MH, Iles MM, Demenais F, Kumar R, MacGregor S, Bishop DT, Ward SV, Bondy ML, Houlston R, Wiencke JK, Melin B, Barnholtz-Sloan J, Kinnersley B, Wrensch MR, Amos CI, Hung RJ, Brennan P, McKay J, Caporaso NE, Berndt SI, Birmann BM, Camp NJ, Kraft P, Rothman N, Slager SL, Berchuck A, Pharoah PDP, Sellers TA, Gayther SA, Pearce CL, Goode EL, Schildkraut JM, Moysich KB, Amundadottir LT, Jacobs EJ, Klein AP, Petersen GM, Risch HA, Stolzenberg-Solomon RZ, Wolpin BM, Li D, Eeles RA, Haiman CA, Kote-Jarai Z, Schumacher FR, Al Olama AA, Purdue MP, Scelo G, Dalgaard MD, Greene MH, Grotmol T, Kanetsky PA, McGlynn KA, Nathanson KL, Turnbull C, Wiklund F, Chanock S, Chatterjee N, Garcia-Closas M. Assessment of polygenic architecture and risk prediction based on common variants across fourteen cancers. Nature Communications 2020, 11: 3353. PMID: 32620889, PMCID: PMC7335068, DOI: 10.1038/s41467-020-16483-3.Peer-Reviewed Original ResearchGenome-wide association meta-analysis identifies GP2 gene risk variants for pancreatic cancer
Lin Y, Nakatochi M, Hosono Y, Ito H, Kamatani Y, Inoko A, Sakamoto H, Kinoshita F, Kobayashi Y, Ishii H, Ozaka M, Sasaki T, Matsuyama M, Sasahira N, Morimoto M, Kobayashi S, Fukushima T, Ueno M, Ohkawa S, Egawa N, Kuruma S, Mori M, Nakao H, Adachi Y, Okuda M, Osaki T, Kamiya S, Wang C, Hara K, Shimizu Y, Miyamoto T, Hayashi Y, Ebi H, Kohmoto T, Imoto I, Kasugai Y, Murakami Y, Akiyama M, Ishigaki K, Matsuda K, Hirata M, Shimada K, Okusaka T, Kawaguchi T, Takahashi M, Watanabe Y, Kuriki K, Kadota A, Okada R, Mikami H, Takezaki T, Suzuki S, Yamaji T, Iwasaki M, Sawada N, Goto A, Kinoshita K, Fuse N, Katsuoka F, Shimizu A, Nishizuka SS, Tanno K, Suzuki K, Okada Y, Horikoshi M, Yamauchi T, Kadowaki T, Yu H, Zhong J, Amundadottir LT, Doki Y, Ishii H, Eguchi H, Bogumil D, Haiman CA, Le Marchand L, Mori M, Risch H, Setiawan VW, Tsugane S, Wakai K, Yoshida T, Matsuda F, Kubo M, Kikuchi S, Matsuo K. Genome-wide association meta-analysis identifies GP2 gene risk variants for pancreatic cancer. Nature Communications 2020, 11: 3175. PMID: 32581250, PMCID: PMC7314803, DOI: 10.1038/s41467-020-16711-w.Peer-Reviewed Original ResearchConceptsSingle nucleotide polymorphismsGenome-wide significant lociLead single nucleotide polymorphismsGenome-wide association studiesGene variantsMeta-analysis identifiesEast Asian ancestryEast Asian originSignificant lociRisk lociFunctional analysisAssociation studiesPancreatic cancer susceptibilityRisk variantsNucleotide polymorphismsCell linesGene risk variantsCancer susceptibilityLociAsian ancestryKRAS activityAsian originVariantsPancreatic cancerPopulationGenome-wide association study identifies 32 novel breast cancer susceptibility loci from overall and subtype-specific analyses
Zhang H, Ahearn TU, Lecarpentier J, Barnes D, Beesley J, Qi G, Jiang X, O’Mara T, Zhao N, Bolla MK, Dunning AM, Dennis J, Wang Q, Ful ZA, Aittomäki K, Andrulis IL, Anton-Culver H, Arndt V, Aronson KJ, Arun BK, Auer PL, Azzollini J, Barrowdale D, Becher H, Beckmann MW, Behrens S, Benitez J, Bermisheva M, Bialkowska K, Blanco A, Blomqvist C, Bogdanova NV, Bojesen SE, Bonanni B, Bondavalli D, Borg A, Brauch H, Brenner H, Briceno I, Broeks A, Brucker SY, Brüning T, Burwinkel B, Buys SS, Byers H, Caldés T, Caligo MA, Calvello M, Campa D, Castelao JE, Chang-Claude J, Chanock SJ, Christiaens M, Christiansen H, Chung WK, Claes KBM, Clarke CL, Cornelissen S, Couch FJ, Cox A, Cross SS, Czene K, Daly MB, Devilee P, Diez O, Domchek SM, Dörk T, Dwek M, Eccles DM, Ekici AB, Evans DG, Fasching PA, Figueroa J, Foretova L, Fostira F, Friedman E, Frost D, Gago-Dominguez M, Gapstur SM, Garber J, García-Sáenz JA, Gaudet MM, Gayther SA, Giles GG, Godwin AK, Goldberg MS, Goldgar DE, González-Neira A, Greene MH, Gronwald J, Guénel P, Häberle L, Hahnen E, Haiman CA, Hake CR, Hall P, Hamann U, Harkness EF, Heemskerk-Gerritsen BAM, Hillemanns P, Hogervorst FBL, Holleczek B, Hollestelle A, Hooning MJ, Hoover RN, Hopper JL, Howell A, Huebner H, Hulick PJ, Imyanitov EN, Isaacs C, Izatt L, Jager A, Jakimovska M, Jakubowska A, James P, Janavicius R, Janni W, John E, Jones M, Jung A, Kaaks R, Kapoor P, Karlan B, Keeman R, Khan S, Khusnutdinova E, Kitahara C, Ko Y, Konstantopoulou I, Koppert L, Koutros S, Kristensen V, Laenkholm A, Lambrechts D, Larsson S, Laurent-Puig P, Lazaro C, Lazarova E, Lejbkowicz F, Leslie G, Lesueur F, Lindblom A, Lissowska J, Lo W, Loud J, Lubinski J, Lukomska A, MacInnis R, Mannermaa A, Manoochehri M, Manoukian S, Margolin S, Martinez M, Matricardi L, McGuffog L, McLean C, Mebirouk N, Meindl A, Menon U, Miller A, Mingazheva E, Montagna M, Mulligan A, Mulot C, Muranen T, Nathanson K, Neuhausen S, Nevanlinna H, Neven P, Newman W, Nielsen F, Nikitina-Zake L, Nodora J, Offit K, Olah E, Olopade O, Olsson H, Orr N, Papi L, Papp J, Park-Simon T, Parsons M, Peissel B, Peixoto A, Peshkin B, Peterlongo P, Peto J, Phillips K, Piedmonte M, Plaseska-Karanfilska D, Prajzendanc K, Prentice R, Prokofyeva D, Rack B, Radice P, Ramus S, Rantala J, Rashid M, Rennert G, Rennert H, Risch H, Romero A, Rookus M, Rübner M, Rüdiger T, Saloustros E, Sampson S, Sandler D, Sawyer E, Scheuner M, Schmutzler R, Schneeweiss A, Schoemaker M, Schöttker B, Schürmann P, Senter L, Sharma P, Sherman M, Shu X, Singer C, Smichkoska S, Soucy P, Southey M, Spinelli J, Stone J, Stoppa-Lyonnet D, Swerdlow A, Szabo C, Tamimi R, Tapper W, Taylor J, Teixeira M, Terry M, Thomassen M, Thull D, Tischkowitz M, Toland A, Tollenaar R, Tomlinson I, Torres D, Troester M, Truong T, Tung N, Untch M, Vachon C, van den Ouweland A, van der Kolk L, van Veen E, vanRensburg E, Vega A, Wappenschmidt B, Weinberg C, Weitzel J, Wildiers H, Winqvist R, Wolk A, Yang X, Yannoukakos D, Zheng W, Zorn K, Milne R, Kraft P, Simard J, Pharoah P, Michailidou K, Antoniou A, Schmidt M, Chenevix-Trench G, Easton D, Chatterjee N, García-Closas M. Genome-wide association study identifies 32 novel breast cancer susceptibility loci from overall and subtype-specific analyses. Nature Genetics 2020, 52: 572-581. PMID: 32424353, PMCID: PMC7808397, DOI: 10.1038/s41588-020-0609-2.Peer-Reviewed Original ResearchMeSH KeywordsBRCA1 ProteinBreast NeoplasmsCase-Control StudiesFemaleGenetic Predisposition to DiseaseGenome-Wide Association StudyHumansLinkage DisequilibriumMutationTriple Negative Breast NeoplasmsConceptsSusceptibility lociAssociation studiesGenome-wide association studiesCell-specific enhancerWide association studyNovel breast cancer susceptibility lociNovel susceptibility lociBasal mammary cellsBreast cancer susceptibility lociCancer susceptibility lociTriple-negative diseaseCancer susceptibility variantsChip heritabilityNovel lociPolygenic risk scoresSilico analysisLociSusceptibility variantsGenetic correlationsRisk scoreMammary cellsHuman epidermal growth factor receptor 2 (HER2) statusEpidermal growth factor receptor 2 statusBreast cancer susceptibility variantsEuropean ancestryEstimation of the carrier frequency of fumarate hydratase alterations and implications for kidney cancer risk in hereditary leiomyomatosis and renal cancer
Shuch B, Li S, Risch H, Bindra RS, McGillivray PD, Gerstein M. Estimation of the carrier frequency of fumarate hydratase alterations and implications for kidney cancer risk in hereditary leiomyomatosis and renal cancer. Cancer 2020, 126: 3657-3666. PMID: 32413184, PMCID: PMC10316675, DOI: 10.1002/cncr.32914.Peer-Reviewed Original ResearchConceptsFumarate hydrataseExome Aggregation ConsortiumAllele frequenciesFH geneGenome ProjectDifferent world populationsFH alterationsHereditary leiomyomatosisKidney cancer riskCancer penetranceMissense alterationsGenesOverall allele frequencyRare variantsLow penetranceRenal cancerExACKidney cancerCancer riskPenetranceGermline mutationsLethal formWorld populationCancer syndromesAlterationsA 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 ResearchMeSH KeywordsDatabases, GeneticGene ExpressionGenetic Predisposition to DiseaseGenome-Wide Association StudyHumansPancreatic NeoplasmsPolymorphism, Single NucleotideQuantitative Trait LociTranscriptomeConceptsTranscriptome-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 ResearchMeSH KeywordsBreast NeoplasmsEstrogensFemaleGenetic Predisposition to DiseaseGenome-Wide Association StudyGenomicsHumansReceptors, EstrogenRisk AssessmentTranscriptomeVesicular Transport ProteinsConceptsTranscriptome-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 geneticsLociFine-mapping of 150 breast cancer risk regions identifies 191 likely target genes
Fachal L, Aschard H, Beesley J, Barnes DR, Allen J, Kar S, Pooley KA, Dennis J, Michailidou K, Turman C, Soucy P, Lemaçon A, Lush M, Tyrer JP, Ghoussaini M, Moradi Marjaneh M, Jiang X, Agata S, Aittomäki K, Alonso MR, Andrulis IL, Anton-Culver H, Antonenkova NN, Arason A, Arndt V, Aronson KJ, Arun BK, Auber B, Auer PL, Azzollini J, Balmaña J, Barkardottir RB, Barrowdale D, Beeghly-Fadiel A, Benitez J, Bermisheva M, Białkowska K, Blanco AM, Blomqvist C, Blot W, Bogdanova NV, Bojesen SE, Bolla MK, Bonanni B, Borg A, Bosse K, Brauch H, Brenner H, Briceno I, Brock IW, Brooks-Wilson A, Brüning T, Burwinkel B, Buys SS, Cai Q, Caldés T, Caligo MA, Camp NJ, Campbell I, Canzian F, Carroll JS, Carter BD, Castelao JE, Chiquette J, Christiansen H, Chung WK, Claes KBM, Clarke CL, Collée J, Cornelissen S, Couch F, Cox A, Cross S, Cybulski C, Czene K, Daly M, de la Hoya M, Devilee P, Diez O, Ding Y, Dite G, Domchek S, Dörk T, dos-Santos-Silva I, Droit A, Dubois S, Dumont M, Duran M, Durcan L, Dwek M, Eccles D, Engel C, Eriksson M, Evans D, Fasching P, Fletcher O, Floris G, Flyger H, Foretova L, Foulkes W, Friedman E, Fritschi L, Frost D, Gabrielson M, Gago-Dominguez M, Gambino G, Ganz P, Gapstur S, Garber J, García-Sáenz J, Gaudet M, Georgoulias V, Giles G, Glendon G, Godwin A, Goldberg M, Goldgar D, González-Neira A, Tibiletti M, Greene M, Grip M, Gronwald J, Grundy A, Guénel P, Hahnen E, Haiman C, Håkansson N, Hall P, Hamann U, Harrington P, Hartikainen J, Hartman M, He W, Healey C, Heemskerk-Gerritsen B, Heyworth J, Hillemanns P, Hogervorst F, Hollestelle A, Hooning M, Hopper J, Howell A, Huang G, Hulick P, Imyanitov E, Isaacs C, Iwasaki M, Jager A, Jakimovska M, Jakubowska A, James P, Janavicius R, Jankowitz R, John E, Johnson N, Jones M, Jukkola-Vuorinen A, Jung A, Kaaks R, Kang D, Kapoor P, Karlan B, Keeman R, Kerin M, Khusnutdinova E, Kiiski J, Kirk J, Kitahara C, Ko Y, Konstantopoulou I, Kosma V, Koutros S, Kubelka-Sabit K, Kwong A, Kyriacou K, Laitman Y, Lambrechts D, Lee E, Leslie G, Lester J, Lesueur F, Lindblom A, Lo W, Long J, Lophatananon A, Loud J, Lubiński J, MacInnis R, Maishman T, Makalic E, Mannermaa A, Manoochehri M, Manoukian S, Margolin S, Martinez M, Matsuo K, Maurer T, Mavroudis D, Mayes R, McGuffog L, McLean C, Mebirouk N, Meindl A, Miller A, Miller N, Montagna M, Moreno F, Muir K, Mulligan A, Muñoz-Garzon V, Muranen T, Narod S, Nassir R, Nathanson K, Neuhausen S, Nevanlinna H, Neven P, Nielsen F, Nikitina-Zake L, Norman A, Offit K, Olah E, Olopade O, Olsson H, Orr N, Osorio A, Pankratz V, Papp J, Park S, Park-Simon T, Parsons M, Paul J, Pedersen I, Peissel B, Peshkin B, Peterlongo P, Peto J, Plaseska-Karanfilska D, Prajzendanc K, Prentice R, Presneau N, Prokofyeva D, Pujana M, Pylkäs K, Radice P, Ramus S, Rantala J, Rau-Murthy R, Rennert G, Risch H, Robson M, Romero A, Rossing M, Saloustros E, Sánchez-Herrero E, Sandler D, Santamariña M, Saunders C, Sawyer E, Scheuner M, Schmidt D, Schmutzler R, Schneeweiss A, Schoemaker M, Schöttker B, Schürmann P, Scott C, Scott R, Senter L, Seynaeve C, Shah M, Sharma P, Shen C, Shu X, Singer C, Slavin T, Smichkoska S, Southey M, Spinelli J, Spurdle A, Stone J, Stoppa-Lyonnet D, Sutter C, Swerdlow A, Tamimi R, Tan Y, Tapper W, Taylor J, Teixeira M, Tengström M, Teo S, Terry M, Teulé A, Thomassen M, Thull D, Tischkowitz M, Toland A, Tollenaar R, Tomlinson I, Torres D, Torres-Mejía G, Troester M, Truong T, Tung N, Tzardi M, Ulmer H, Vachon C, van Asperen C, van der Kolk L, van Rensburg E, Vega A, Viel A, Vijai J, Vogel M, Wang Q, Wappenschmidt B, Weinberg C, Weitzel J, Wendt C, Wildiers H, Winqvist R, Wolk A, Wu A, Yannoukakos D, Zhang Y, Zheng W, Hunter D, Pharoah P, Chang-Claude J, García-Closas M, Schmidt M, Milne R, Kristensen V, French J, Edwards S, Antoniou A, Chenevix-Trench G, Simard J, Easton D, Kraft P, Dunning A. Fine-mapping of 150 breast cancer risk regions identifies 191 likely target genes. Nature Genetics 2020, 52: 56-73. PMID: 31911677, PMCID: PMC6974400, DOI: 10.1038/s41588-019-0537-1.Peer-Reviewed Original ResearchConceptsCausal variantsTranscription factorsTarget genesActive gene regulatory regionsHigh-confidence target genesGenomic feature annotationsGenome-wide association studiesBreast cancer risk variantsGene regulatory regionsCredible causal variantsGene ontology pathwaysChromatin interactionsFunctional annotationGenomic regionsOntology pathwaysRegulatory regionsGenomic featuresCancer driversGene expressionAssociation studiesAssociation analysisGenesLinkage disequilibriumRisk variantsHigh posterior probability
2019
Genome-wide association and transcriptome studies identify target genes and risk loci for breast cancer
Ferreira MA, Gamazon ER, Al-Ejeh F, Aittomäki K, Andrulis IL, Anton-Culver H, Arason A, Arndt V, Aronson KJ, Arun BK, Asseryanis E, Azzollini J, Balmaña J, Barnes DR, Barrowdale D, Beckmann MW, Behrens S, Benitez J, Bermisheva M, Białkowska K, Blomqvist C, Bogdanova NV, Bojesen SE, Bolla MK, Borg A, Brauch H, Brenner H, Broeks A, Burwinkel B, Caldés T, Caligo MA, Campa D, Campbell I, Canzian F, Carter J, Carter BD, Castelao JE, Chang-Claude J, Chanock SJ, Christiansen H, Chung WK, Claes KBM, Clarke CL, Couch F, Cox A, Cross S, Czene K, Daly M, de la Hoya M, Dennis J, Devilee P, Diez O, Dörk T, Dunning A, Dwek M, Eccles D, Ejlertsen B, Ellberg C, Engel C, Eriksson M, Fasching P, Fletcher O, Flyger H, Friedman E, Frost D, Gabrielson M, Gago-Dominguez M, Ganz P, Gapstur S, Garber J, García-Closas M, García-Sáenz J, Gaudet M, Giles G, Glendon G, Godwin A, Goldberg M, Goldgar D, González-Neira A, Greene M, Gronwald J, Guénel P, Haiman C, Hall P, Hamann U, He W, Heyworth J, Hogervorst F, Hollestelle A, Hoover R, Hopper J, Hulick P, Humphreys K, Imyanitov E, Isaacs C, Jakimovska M, Jakubowska A, James P, Janavicius R, Jankowitz R, John E, Johnson N, Joseph V, Karlan B, Khusnutdinova E, Kiiski J, Ko Y, Jones M, Konstantopoulou I, Kristensen V, Laitman Y, Lambrechts D, Lazaro C, Leslie G, Lester J, Lesueur F, Lindström S, Long J, Loud J, Lubiński J, Makalic E, Mannermaa A, Manoochehri M, Margolin S, Maurer T, Mavroudis D, McGuffog L, Meindl A, Menon U, Michailidou K, Miller A, Montagna M, Moreno F, Moserle L, Mulligan A, Nathanson K, Neuhausen S, Nevanlinna H, Nevelsteen I, Nielsen F, Nikitina-Zake L, Nussbaum R, Offit K, Olah E, Olopade O, Olsson H, Osorio A, Papp J, Park-Simon T, Parsons M, Pedersen I, Peixoto A, Peterlongo P, Pharoah P, Plaseska-Karanfilska D, Poppe B, Presneau N, Radice P, Rantala J, Rennert G, Risch H, Saloustros E, Sanden K, Sawyer E, Schmidt M, Schmutzler R, Sharma P, Shu X, Simard J, Singer C, Soucy P, Southey M, Spinelli J, Spurdle A, Stone J, Swerdlow A, Tapper W, Taylor J, Teixeira M, Terry M, Teulé A, Thomassen M, Thöne K, Thull D, Tischkowitz M, Toland A, Torres D, Truong T, Tung N, Vachon C, van Asperen C, van den Ouweland A, van Rensburg E, Vega A, Viel A, Wang Q, Wappenschmidt B, Weitzel J, Wendt C, Winqvist R, Yang X, Yannoukakos D, Ziogas A, Kraft P, Antoniou A, Zheng W, Easton D, Milne R, Beesley J, Chenevix-Trench G. Genome-wide association and transcriptome studies identify target genes and risk loci for breast cancer. Nature Communications 2019, 10: 1741. PMID: 30988301, PMCID: PMC6465407, DOI: 10.1038/s41467-018-08053-5.Peer-Reviewed Original ResearchMeSH KeywordsBreast NeoplasmsFemaleGene Expression ProfilingGenetic Predisposition to DiseaseGenome-Wide Association StudyHumansQuantitative Trait LociConceptsExpression quantitative trait lociGenome-wide association studiesTarget genesMultiple expression quantitative trait lociBreast cancer risk variantsPrevious genome-wide association studyQuantitative trait lociGenome-wide associationGene-based testsBreast cancerBreast cancer susceptibility lociCancer susceptibility lociRisk-associated variantsImmune cellsTrait lociTranscriptome studiesRisk lociGene expressionAssociation studiesOverall breast cancer riskSusceptibility lociMultiple tissuesBreast cancer riskNegative breast cancerRisk variantsFunctional analysis and fine mapping of the 9p22.2 ovarian cancer susceptibility locus
Buckley MA, Woods NT, Tyrer JP, Mendoza-Fandiño G, Lawrenson K, Hazelett DJ, Najafabadi HS, Gjyshi A, Carvalho RS, Lyra PC, Coetzee SG, Shen HC, Yang AW, Earp MA, Yoder S, Risch H, Chenevix-Trench G, Ramus SJ, Phelan CM, Coetzee GA, Noushmehr H, Hughes TR, Sellers TA, Goode EL, Pharoah P, Gayther SA, Monteiro A. Functional analysis and fine mapping of the 9p22.2 ovarian cancer susceptibility locus. Cancer Research 2019, 79: canres.3864.2017. PMID: 30487138, PMCID: PMC6359979, DOI: 10.1158/0008-5472.can-17-3864.Peer-Reviewed Original ResearchMeSH KeywordsBase SequenceCarcinoma, Ovarian EpithelialCell Cycle ProteinsCell Line, TumorChromosome MappingChromosomes, Human, Pair 9Cystadenocarcinoma, SerousDNA-Binding ProteinsDNA, NeoplasmFemaleGenetic Predisposition to DiseaseGenome-Wide Association StudyHEK293 CellsHumansLinkage DisequilibriumOvarian NeoplasmsPolymorphism, Single NucleotideConceptsScaffold/matrix attachment regionsMatrix attachment regionsTarget genesAttachment regionsOvarian cancer susceptibility lociGenome-wide association studiesCancer risk lociLikely target genesTranscriptional regulatory elementsAllele-specific effectsDownstream target genesLikely causal variantsCancer susceptibility lociCandidate causal SNPsFine mappingRegulatory elementsLoci identifiesCausal variantsRisk lociCausal SNPsFunctional analysisAssociation studiesCancer risk genesSusceptibility lociRisk genesShared heritability and functional enrichment across six solid cancers
Jiang X, Finucane HK, Schumacher FR, Schmit SL, Tyrer JP, Han Y, Michailidou K, Lesseur C, Kuchenbaecker KB, Dennis J, Conti DV, Casey G, Gaudet MM, Huyghe JR, Albanes D, Aldrich MC, Andrew AS, Andrulis IL, Anton-Culver H, Antoniou AC, Antonenkova NN, Arnold SM, Aronson KJ, Arun BK, Bandera EV, Barkardottir RB, Barnes DR, Batra J, Beckmann MW, Benitez J, Benlloch S, Berchuck A, Berndt SI, Bickeböller H, Bien SA, Blomqvist C, Boccia S, Bogdanova NV, Bojesen SE, Bolla MK, Brauch H, Brenner H, Brenton JD, Brook MN, Brunet J, Brunnström H, Buchanan DD, Burwinkel B, Butzow R, Cadoni G, Caldés T, Caligo MA, Campbell I, Campbell PT, Cancel-Tassin G, Cannon-Albright L, Campa D, Caporaso N, Carvalho AL, Chan AT, Chang-Claude J, Chanock SJ, Chen C, Christiani DC, Claes KBM, Claessens F, Clements J, Collée JM, Correa MC, Couch FJ, Cox A, Cunningham JM, Cybulski C, Czene K, Daly MB, deFazio A, Devilee P, Diez O, Gago-Dominguez M, Donovan JL, Dörk T, Duell EJ, Dunning AM, Dwek M, Eccles DM, Edlund CK, Edwards DRV, Ellberg C, Evans DG, Fasching PA, Ferris RL, Liloglou T, Figueiredo JC, Fletcher O, Fortner RT, Fostira F, Franceschi S, Friedman E, Gallinger SJ, Ganz PA, Garber J, García-Sáenz JA, Gayther SA, Giles GG, Godwin AK, Goldberg MS, Goldgar DE, Goode EL, Goodman MT, Goodman G, Grankvist K, Greene MH, Gronberg H, Gronwald J, Guénel P, Håkansson N, Hall P, Hamann U, Hamdy FC, Hamilton RJ, Hampe J, Haugen A, Heitz F, Herrero R, Hillemanns P, Hoffmeister M, Høgdall E, Hong YC, Hopper JL, Houlston R, Hulick PJ, Hunter DJ, Huntsman DG, Idos G, Imyanitov EN, Ingles SA, Isaacs C, Jakubowska A, James P, Jenkins MA, Johansson M, Johansson M, John EM, Joshi AD, Kaneva R, Karlan BY, Kelemen LE, Kühl T, Khaw KT, Khusnutdinova E, Kibel AS, Kiemeney LA, Kim J, Kjaer SK, Knight JA, Kogevinas M, Kote-Jarai Z, Koutros S, Kristensen VN, Kupryjanczyk J, Lacko M, Lam S, Lambrechts D, Landi MT, Lazarus P, Le ND, Lee E, Lejbkowicz F, Lenz HJ, Leslie G, Lessel D, Lester J, Levine DA, Li L, Li CI, Lindblom A, Lindor NM, Liu G, Loupakis F, Lubiński J, Maehle L, Maier C, Mannermaa A, Marchand LL, Margolin S, May T, McGuffog L, Meindl A, Middha P, Miller A, Milne RL, MacInnis RJ, Modugno F, Montagna M, Moreno V, Moysich KB, Mucci L, Muir K, Mulligan AM, Nathanson KL, Neal DE, Ness AR, Neuhausen SL, Nevanlinna H, Newcomb PA, Newcomb LF, Nielsen FC, Nikitina-Zake L, Nordestgaard BG, Nussbaum RL, Offit K, Olah E, Olama AAA, Olopade OI, Olshan AF, Olsson H, Osorio A, Pandha H, Park JY, Pashayan N, Parsons MT, Pejovic T, Penney KL, Peters WHM, Phelan CM, Phipps AI, Plaseska-Karanfilska D, Pring M, Prokofyeva D, Radice P, Stefansson K, Ramus SJ, Raskin L, Rennert G, Rennert HS, van Rensburg EJ, Riggan MJ, Risch HA, Risch A, Roobol MJ, Rosenstein BS, Rossing MA, De Ruyck K, Saloustros E, Sandler DP, Sawyer EJ, Schabath MB, Schleutker J, Schmidt MK, Setiawan VW, Shen H, Siegel EM, Sieh W, Singer CF, Slattery ML, Sorensen KD, Southey MC, Spurdle AB, Stanford JL, Stevens VL, Stintzing S, Stone J, Sundfeldt K, Sutphen R, Swerdlow AJ, Tajara EH, Tangen CM, Tardon A, Taylor JA, Teare MD, Teixeira MR, Terry MB, Terry KL, Thibodeau SN, Thomassen M, Bjørge L, Tischkowitz M, Toland AE, Torres D, Townsend PA, Travis RC, Tung N, Tworoger SS, Ulrich CM, Usmani N, Vachon CM, Van Nieuwenhuysen E, Vega A, Aguado-Barrera ME, Wang Q, Webb PM, Weinberg CR, Weinstein S, Weissler MC, Weitzel JN, West CML, White E, Whittemore AS, Wichmann HE, Wiklund F, Winqvist R, Wolk A, Woll P, Woods M, Wu AH, Wu X, Yannoukakos D, Zheng W, Zienolddiny S, Ziogas A, Zorn KK, Lane JM, Saxena R, Thomas D, Hung RJ, Diergaarde B, McKay J, Peters U, Hsu L, García-Closas M, Eeles RA, Chenevix-Trench G, Brennan PJ, Haiman CA, Simard J, Easton DF, Gruber SB, Pharoah PDP, Price AL, Pasaniuc B, Amos CI, Kraft P, Lindström S. Shared heritability and functional enrichment across six solid cancers. Nature Communications 2019, 10: 431. PMID: 30683880, PMCID: PMC6347624, DOI: 10.1038/s41467-018-08054-4.Peer-Reviewed Original ResearchMeSH KeywordsBreast NeoplasmsCase-Control StudiesColorectal NeoplasmsFemaleGenetic Predisposition to DiseaseGenome-Wide Association StudyHead and Neck NeoplasmsHumansInheritance PatternsLung NeoplasmsMaleMental DisordersNeoplasm ProteinsOvarian NeoplasmsPhenotypePolymorphism, Single NucleotideProstatic NeoplasmsSmokingWhite PeopleConceptsHead/neck cancerHead/neckColorectal cancerLung cancerNeck cancerOvarian cancerProstate cancerSolid cancersGenetic correlationsPsychiatric diseasesSolid tumorsMultiple cancersCancerCancer etiologyCancer typesBreastFunctional enrichment analysisMetabolic characteristicsGenome-wide association study summary statisticsLungDiseaseSignificant genetic correlationsEuropean ancestryEnrichment analysisFunctional enrichmentCurrent Approaches to Pancreatic Cancer Screening
Chhoda A, Lu L, Clerkin BM, Risch H, Farrell JJ. Current Approaches to Pancreatic Cancer Screening. American Journal Of Pathology 2019, 189: 22-35. PMID: 30558719, DOI: 10.1016/j.ajpath.2018.09.013.BooksMeSH KeywordsCarcinoma, Pancreatic DuctalEarly Detection of CancerGenetic Predisposition to DiseaseHumansPancreatic NeoplasmsRisk FactorsConceptsPancreatic ductal adenocarcinomaHigh-risk individualsRisk factorsCancer syndromesHereditary breast-ovarian cancer syndromeBreast-ovarian cancer syndromeEarly resectable stagePancreatic cancer screeningScreening strategyFamilial atypical multipleCancer-related deathOvarian cancer syndromeCurrent screening strategiesLi-Fraumeni syndromePeutz-Jeghers syndromeGenetic risk factorsResectable stageCancer screeningPancreatic cancerChronic diseasesDuctal adenocarcinomaLynch syndromePrecursor lesionsLower incidenceFamilial history
2018
Agnostic Pathway/Gene Set Analysis of Genome-Wide Association Data Identifies Associations for Pancreatic Cancer
Walsh N, Zhang H, Hyland PL, Yang Q, Mocci E, Zhang M, Childs EJ, Collins I, Wang Z, Arslan AA, Beane-Freeman L, Bracci PM, Brennan P, Canzian F, Duell EJ, Gallinger S, Giles GG, Goggins M, Goodman GE, Goodman PJ, Hung RJ, Kooperberg C, Kurtz RC, Malats N, LeMarchand L, Neale RE, Olson SH, Scelo G, Shu XO, Van Den Eeden SK, Visvanathan K, White E, Zheng W, consortia P, Albanes D, Andreotti G, Babic A, Bamlet W, Berndt S, Borgida A, Boutron-Ruault M, Brais L, Brennan P, Bueno-de-Mesquita B, Buring J, Chaffee K, Chanock S, Cleary S, Cotterchio M, Foretova L, Fuchs C, Gaziano J, Giovannucci E, Goggins M, Hackert T, Haiman C, Hartge P, Hasan M, Helzlsouer K, Herman J, Holcatova I, Holly E, Hoover R, Hung R, Janout V, Klein E, Kurtz R, Laheru D, Lee I, Lu L, Malats N, Mannisto S, Milne R, Oberg A, Orlow I, Patel A, Peters U, Porta M, Real F, Rothman N, Sesso H, Severi G, Silverman D, Strobel O, Sund M, Thornquist M, Tobias G, Wactawski-Wende J, Wareham N, Weiderpass E, Wentzensen N, Wheeler W, Yu H, Zeleniuch-Jacquotte A, Kraft P, Li D, Jacobs E, Petersen G, Wolpin B, Risch H, Amundadottir L, Yu K, Klein A, Stolzenberg-Solomon R. Agnostic Pathway/Gene Set Analysis of Genome-Wide Association Data Identifies Associations for Pancreatic Cancer. Journal Of The National Cancer Institute 2018, 111: 557-567. PMID: 30541042, PMCID: PMC6579744, DOI: 10.1093/jnci/djy155.Peer-Reviewed Original ResearchMeSH KeywordsCarcinoma, Pancreatic DuctalCase-Control StudiesGenetic Predisposition to DiseaseGenome-Wide Association StudyHumansModels, StatisticalPancreatic NeoplasmsPolymorphism, Single NucleotideConceptsGenome-wide association studiesGene setsSingle nucleotide polymorphismsFunctional annotationEpidermal growth factor receptor transactivationExpression quantitative trait loci (eQTL) analysisQuantitative trait locus (QTL) analysisGrowth factor receptor transactivationTop single nucleotide polymorphismsG protein-coupled receptorsGene-set analysisProtein-coupled receptorsIndividual single nucleotide polymorphismsBeta-cell developmentEQTL analysisGWAS dataPCC genesPancreatic ductal adenocarcinomaReceptor transactivationLocus analysisPathway analysisAssociation studiesGenesSusceptibility genesIdentifies associationsA 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 dataGenesIdentification of nine new susceptibility loci for endometrial cancer
O’Mara T, Glubb DM, Amant F, Annibali D, Ashton K, Attia J, Auer PL, Beckmann MW, Black A, Bolla MK, Brauch H, Brenner H, Brinton L, Buchanan DD, Burwinkel B, Chang-Claude J, Chanock SJ, Chen C, Chen MM, Cheng THT, Clarke CL, Clendenning M, Cook LS, Couch FJ, Cox A, Crous-Bous M, Czene K, Day F, Dennis J, Depreeuw J, Doherty JA, Dörk T, Dowdy SC, Dürst M, Ekici AB, Fasching PA, Fridley BL, Friedenreich CM, Fritschi L, Fung J, García-Closas M, Gaudet MM, Giles GG, Goode EL, Gorman M, Haiman CA, Hall P, Hankison SE, Healey CS, Hein A, Hillemanns P, Hodgson S, Hoivik EA, Holliday EG, Hopper JL, Hunter DJ, Jones A, Krakstad C, Kristensen VN, Lambrechts D, Marchand LL, Liang X, Lindblom A, Lissowska J, Long J, Lu L, Magliocco AM, Martin L, McEvoy M, Meindl A, Michailidou K, Milne RL, Mints M, Montgomery GW, Nassir R, Olsson H, Orlow I, Otton G, Palles C, Perry JRB, Peto J, Pooler L, Prescott J, Proietto T, Rebbeck TR, Risch HA, Rogers PAW, Rübner M, Runnebaum I, Sacerdote C, Sarto GE, Schumacher F, Scott RJ, Setiawan VW, Shah M, Sheng X, Shu XO, Southey MC, Swerdlow AJ, Tham E, Trovik J, Turman C, Tyrer JP, Vachon C, VanDen Berg D, Vanderstichele A, Wang Z, Webb PM, Wentzensen N, Werner HMJ, Winham SJ, Wolk A, Xia L, Xiang YB, Yang HP, Yu H, Zheng W, Pharoah PDP, Dunning AM, Kraft P, De Vivo I, Tomlinson I, Easton DF, Spurdle AB, Thompson DJ. Identification of nine new susceptibility loci for endometrial cancer. Nature Communications 2018, 9: 3166. PMID: 30093612, PMCID: PMC6085317, DOI: 10.1038/s41467-018-05427-7.Peer-Reviewed Original ResearchConceptsGenome-wide association studiesCandidate causal genesCausal genesNovel genome-wide significant lociRisk lociEndometrial cancer risk lociGenome-wide significant lociExpression quantitative trait loci (eQTL) analysisQuantitative trait locus (QTL) analysisSignal transduction proteinsCancer risk lociNew susceptibility lociTransduction proteinsSignificant lociLocus analysisNegative regulatorAssociation studiesFemale reproductive tractSusceptibility lociLoci associateLociGenesDecreased expressionReproductive tractRisk allelesVariants in genes encoding small GTPases and association with epithelial ovarian cancer susceptibility
Earp M, Tyrer JP, Winham SJ, Lin HY, Chornokur G, Dennis J, Aben KKH, Anton‐Culver H, Antonenkova N, Bandera EV, Bean YT, Beckmann MW, Bjorge L, Bogdanova N, Brinton LA, Brooks-Wilson A, Bruinsma F, Bunker CH, Butzow R, Campbell IG, Carty K, Chang-Claude J, Cook LS, Cramer DW, Cunningham JM, Cybulski C, Dansonka-Mieszkowska A, Despierre E, Doherty JA, Dörk T, du Bois A, Dürst M, Easton DF, Eccles DM, Edwards RP, Ekici AB, Fasching PA, Fridley BL, Gentry-Maharaj A, Giles GG, Glasspool R, Goodman MT, Gronwald J, Harter P, Hein A, Heitz F, Hildebrandt MAT, Hillemanns P, Hogdall CK, Høgdall E, Hosono S, Iversen ES, Jakubowska A, Jensen A, Ji BT, Jung AY, Karlan BY, Kellar M, Kiemeney LA, Lim B, Kjaer SK, Krakstad C, Kupryjanczyk J, Lambrechts D, Lambrechts S, Le ND, Lele S, Lester J, Levine DA, Li Z, Liang D, Lissowska J, Lu K, Lubinski J, Lundvall L, Massuger LFAG, Matsuo K, McGuire V, McLaughlin JR, McNeish I, Menon U, Milne RL, Modugno F, Moysich KB, Ness RB, Nevanlinna H, Odunsi K, Olson SH, Orlow I, Orsulic S, Paul J, Pejovic T, Pelttari LM, Permuth JB, Pike MC, Poole EM, Rosen B, Rossing MA, Rothstein JH, Runnebaum IB, Rzepecka IK, Schernhammer E, Schwaab I, Shu XO, Shvetsov YB, Siddiqui N, Sieh W, Song H, Southey MC, Spiewankiewicz B, Sucheston-Campbell L, Tangen IL, Teo SH, Terry KL, Thompson PJ, Thomsen L, Tworoger SS, van Altena AM, Vergote I, Thomsen L, Vierkant RA, Walsh CS, Wang-Gohrke S, Wentzensen N, Whittemore AS, Wicklund KG, Wilkens LR, Woo YL, Wu AH, Wu X, Xiang YB, Yang H, Zheng W, Ziogas A, Lee AW, Pearce CL, Berchuck A, Schildkraut JM, Ramus SJ, Monteiro ANA, Narod SA, Sellers TA, Gayther SA, Kelemen LE, Chenevix-Trench G, Risch HA, Pharoah PDP, Goode EL, Phelan CM. Variants in genes encoding small GTPases and association with epithelial ovarian cancer susceptibility. PLOS ONE 2018, 13: e0197561. PMID: 29979793, PMCID: PMC6034790, DOI: 10.1371/journal.pone.0197561.Peer-Reviewed Original ResearchConceptsFunctional annotationSmall GTPasesExpression quantitative trait lociPotential transcriptional regulatory functionTranscriptional regulatory functionQuantitative trait lociEpithelial ovarian cancer susceptibilitySmall GTPase genesSuper-enhancer regionsVesicle transportTrait lociGTPase genesSmall GTPSignal transductionCell motilityGenotype arraysRegulatory functionsNormal ovarian physiologyOvarian cancer susceptibilityVariants of interestRisk variantsEOC riskGermline variationGenesGTPases