2024
Genome-Wide Analysis to Assess if Heavy Alcohol Consumption Modifies the Association between SNPs and Pancreatic Cancer Risk.
Ni Z, Kundu P, McKean D, Wheeler W, Albanes D, Andreotti G, Antwi S, Arslan A, Bamlet W, Beane-Freeman L, Berndt S, Bracci P, Brennan P, Buring J, Chanock S, Gallinger S, Gaziano J, Giles G, Giovannucci E, Goggins M, Goodman P, Haiman C, Hassan M, Holly E, Hung R, Katzke V, Kooperberg C, Kraft P, LeMarchand L, Li D, McCullough M, Milne R, Moore S, Neale R, Oberg A, Patel A, Peters U, Rabe K, Risch H, Shu X, Smith-Byrne K, Visvanathan K, Wactawski-Wende J, White E, Wolpin B, Yu H, Zeleniuch-Jacquotte A, Zheng W, Zhong J, Amundadottir L, Stolzenberg-Solomon R, Klein A. Genome-Wide Analysis to Assess if Heavy Alcohol Consumption Modifies the Association between SNPs and Pancreatic Cancer Risk. Cancer Epidemiology Biomarkers & Prevention 2024, 33: 1229-1239. PMID: 38869494, DOI: 10.1158/1055-9965.epi-24-0096.Peer-Reviewed Original ResearchMeSH KeywordsAlcohol DrinkingCase-Control StudiesFemaleGenetic Predisposition to DiseaseGenome-Wide Association StudyHumansMaleMiddle AgedPancreatic NeoplasmsPolymorphism, Single NucleotideRisk FactorsConceptsPancreatic cancer riskHeavy alcohol consumptionCancer riskSingle-nucleotide polymorphismsAlcohol consumptionExpression quantitative trait lociQuantitative trait lociAssociated with pancreatic cancer riskGenome-wide interaction analysisGenome-wide significant evidenceEtiology of pancreatic cancerFixed-effect meta-analysesGenomic regionsGenome-wide significant evidence of associationLead single-nucleotide polymorphismsTrait lociGenetic variantsEuropean ancestry populationsEvidence of associationGenome-wide association studiesAnalysis of single-nucleotide polymorphismsCase-control studyPancreatic cancerGenome-wide analysisAncestry populations
2023
Genetic Susceptibility to Nonalcoholic Fatty Liver Disease and Risk for Pancreatic Cancer: Mendelian Randomization.
King S, Veliginti S, Brouwers M, Ren Z, Zheng W, Setiawan V, Wilkens L, Shu X, Arslan A, Beane Freeman L, Bracci P, Canzian F, Du M, Gallinger S, Giles G, Goodman P, Haiman C, Kogevinas M, Kooperberg C, LeMarchand L, Neale R, Visvanathan K, White E, Albanes D, Andreotti G, Babic A, Berndt S, Brais L, Brennan P, Buring J, Rabe K, Bamlet W, Chanock S, Fuchs C, Gaziano J, Giovannucci E, Hackert T, Hassan M, Katzke V, Kurtz R, Lee I, Malats N, Murphy N, Oberg A, Orlow I, Porta M, Real F, Rothman N, Sesso H, Silverman D, Thompson I, Wactawski-Wende J, Wang X, Wentzensen N, Yu H, Zeleniuch-Jacquotte A, Yu K, Wolpin B, Duell E, Li D, Hung R, Perdomo S, McCullough M, Freedman N, Patel A, Peters U, Riboli E, Sund M, Tjønneland A, Zhong J, Van Den Eeden S, Kraft P, Risch H, Amundadottir L, Klein A, Stolzenberg-Solomon R, Antwi S. Genetic Susceptibility to Nonalcoholic Fatty Liver Disease and Risk for Pancreatic Cancer: Mendelian Randomization. Cancer Epidemiology Biomarkers & Prevention 2023, 32: 1265-1269. PMID: 37351909, PMCID: PMC10529823, DOI: 10.1158/1055-9965.epi-23-0453.Peer-Reviewed Original ResearchMeSH KeywordsGenetic Predisposition to DiseaseGenome-Wide Association StudyHumansMendelian Randomization AnalysisNon-alcoholic Fatty Liver DiseaseObesityPancreatic NeoplasmsPolymorphism, Single NucleotideConceptsNonalcoholic fatty liver diseasePancreatic cancer riskFatty liver diseasePancreatic cancerCancer riskLiver diseaseGenetic predispositionMendelian randomizationPancreatic Cancer Case-Control ConsortiumConfidence intervalsPancreatic Cancer Cohort ConsortiumPC risk factorsMR methodsRisk factorsGenome-wide association studiesGenetic susceptibilityLogistic regressionCancerMetabolic perturbationsMetabolic conditionsRiskDiseaseGenetic variantsAssociationPredispositionGenome-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
The age-dependent association of risk factors with pancreatic cancer
Yuan C, Kim J, Wang QL, Lee AA, Babic A, Consortium P, Amundadottir LT, Ardanaz E, Arslan A, Beane-Freeman L, Bracci P, Bueno-de-Mesquita B, Du M, Gallinger S, Giles G, Goodman P, Katzke V, Klein A, Kooperberg C, Kraft P, Li D, Malats N, Marchand L, McCullough M, Milne R, Neoptolemos J, Perdomo S, Petersen G, Risch H, Shu X, Stolzenberg-Solomon R, Van Den Eeden S, Visvanathan K, White E, Wolpin B, Zheng W, Amundadottir L, Klein A, Li D, McCullough M, Petersen G, Risch H, Stolzenberg-Solomon R, Perez K, Ng K, Giovannucci E, Stampfer M, Kraft P, Wolpin B. The age-dependent association of risk factors with pancreatic cancer. Annals Of Oncology 2022, 33: 693-701. PMID: 35398288, PMCID: PMC9233063, DOI: 10.1016/j.annonc.2022.03.276.Peer-Reviewed Original ResearchMeSH KeywordsGenome-Wide Association StudyHumansMalePancreatic NeoplasmsProspective StudiesRisk FactorsConceptsPancreatic cancer casesRisk factorsPancreatic cancerProspective cohortMale sexBlack raceSEER programCancer casesPolygenic risk scoresRisk scoreProspective US cohort studyNon-modifiable risk factorsNon-O blood groupIncident pancreatic cancerUS cohort studyEnd Results ProgramPancreatic cancer riskAge-specific associationsEarly detection strategiesAge-dependent associationGenome-wide association studiesAdvanced diseaseCancer presentsCohort studyUS Surveillance
2021
A 584 bp deletion in CTRB2 inhibits chymotrypsin B2 activity and secretion and confers risk of pancreatic cancer
Jermusyk A, Zhong J, Connelly KE, Gordon N, Perera S, Abdolalizadeh E, Zhang T, O’Brien A, Hoskins JW, Collins I, Eiser D, Yuan C, Consortium P, Consortium P, Albanes D, Arslan A, Gurrea A, Beane-Freeman L, Bracci P, Bueno-de-Mesquita B, Buring J, Canzian F, Gallinger S, Gaziano J, Giles G, Goodman P, Johansson M, Kooperberg C, LeMarchand L, Malats N, Neale R, Panico S, Peters U, Real F, Shu X, Sund M, Thornquist M, Tjønneland A, Travis R, Van Den Eeden S, Visvanathan K, Zheng W, Kraft P, Risch H, Jacobs E, Li D, Du M, Stolzenberg-Solomon R, Klein A, Smith J, Wolpin B, Chanock S, Shi J, Petersen G, Westlake C, Amundadottir L. A 584 bp deletion in CTRB2 inhibits chymotrypsin B2 activity and secretion and confers risk of pancreatic cancer. American Journal Of Human Genetics 2021, 108: 1852-1865. PMID: 34559995, PMCID: PMC8546220, DOI: 10.1016/j.ajhg.2021.09.002.Peer-Reviewed Original ResearchMeSH KeywordsCase-Control StudiesChymotrypsinGenome-Wide Association StudyGenotypeHumansPancreatic NeoplasmsPolymorphism, Single NucleotideQuantitative Trait LociSequence DeletionConceptsGenome-wide association studiesB2 proteinEndoplasmic reticulumDeletion allelePremature stop codonHuman genomeGWAS datasetsSuch lociRisk lociAssociation studiesStop codonER stressCTRB2Pancreatic ductal adenocarcinomaBp deletionExon 6European ancestryLociExon 7Intracellular accumulationExon 5ProteinGermline variantsChymotrypsin activityAllelesMultitrait genetic association analysis identifies 50 new risk loci for gastro-oesophageal reflux, seven new loci for Barrett’s oesophagus and provides insights into clinical heterogeneity in reflux diagnosis
Ong J, An J, Han X, Law M, Nandakumar P, team 2, consortium E, Schumacher J, Gockel I, Bohmer A, Jankowski J, Palles C, Olsen C, Neale R, Fitzgerald R, Thrift A, Vaughan T, Buas M, Hinds D, Gharahkhani P, Kendall B, MacGregor S, consortium E, Fitzgerald R, Buas M, Gammon M, Corley D, Shaheen N, Hardie L, Bird N, Reid B, Chow W, Risch H, Ye W, Liu G, Romero Y, Bernstein L, Wu A, Schumacher J, Gockel I, Bohmer A, Jankowski J, Palles C, Whiteman D, team 2, Agee M, Aslibekyan S, Auton A, Bell R, Bryc K, Clark S, Elson S, Fletez-Brant K, Fontanillas P, Furlotte N, Gandhi P, Heilbron K, Hicks B, Hinds D, Huber K, Jewett E, Jiang Y, Kleinman A, Lin K, Litterman N, Luff M, McCreight J, McIntyre M, McManus K, Mountain J, Mozaffari S, Nandakumar P, Noblin E, Northover C, O'Connell J, Petrakovitz A, Pitts S, Poznik G, Sathirapongsasuti J, Shastri A, Shelton J, Shringarpure S, Tian C, Tung J, Tunney R, Vacic V, Wang X, Zare A. Multitrait genetic association analysis identifies 50 new risk loci for gastro-oesophageal reflux, seven new loci for Barrett’s oesophagus and provides insights into clinical heterogeneity in reflux diagnosis. Gut 2021, 71: 1053-1061. PMID: 34187846, PMCID: PMC9120377, DOI: 10.1136/gutjnl-2020-323906.Peer-Reviewed Original ResearchMeSH KeywordsBarrett EsophagusEsophageal NeoplasmsEsophagitis, PepticGastroesophageal RefluxGenome-Wide Association StudyHumansObesityA 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
Genome-Wide Gene–Diabetes and Gene–Obesity Interaction Scan in 8,255 Cases and 11,900 Controls from PanScan and PanC4 Consortia
Tang H, Jiang L, Stolzenberg-Solomon RZ, Arslan AA, Beane Freeman LE, Bracci PM, Brennan P, Canzian F, Du M, Gallinger S, Giles GG, Goodman PJ, Kooperberg C, Le Marchand L, Neale RE, Shu XO, Visvanathan K, White E, Zheng W, Albanes D, Andreotti G, Babic A, Bamlet WR, Berndt SI, Blackford A, Bueno-de-Mesquita B, Buring JE, Campa D, Chanock SJ, Childs E, Duell EJ, Fuchs C, Gaziano JM, Goggins M, Hartge P, Hassam MH, Holly EA, Hoover RN, Hung RJ, Kurtz RC, Lee IM, Malats N, Milne RL, Ng K, Oberg AL, Orlow I, Peters U, Porta M, Rabe KG, Rothman N, Scelo G, Sesso HD, Silverman DT, Thompson IM, Tjønneland A, Trichopoulou A, Wactawski-Wende J, Wentzensen N, Wilkens LR, Yu H, Zeleniuch-Jacquotte A, Amundadottir LT, Jacobs EJ, Petersen GM, Wolpin BM, Risch HA, Chatterjee N, Klein AP, Li D, Kraft P, Wei P. Genome-Wide Gene–Diabetes and Gene–Obesity Interaction Scan in 8,255 Cases and 11,900 Controls from PanScan and PanC4 Consortia. Cancer Epidemiology Biomarkers & Prevention 2020, 29: 1784-1791. PMID: 32546605, PMCID: PMC7483330, DOI: 10.1158/1055-9965.epi-20-0275.Peer-Reviewed Original ResearchMeSH KeywordsCase-Control StudiesDiabetes MellitusFemaleGenome-Wide Association StudyHumansMaleObesityRisk FactorsConceptsSNP levelGenome-wide association study datasetGenome-wide levelGene-based analysisGWAS summary statisticsJoint effect testsGxE analysisGWAS top hitsPopulation substructureSignificant GxE interactionGene levelGene-environment interaction analysisAdditional genetic factorsTop hitsEnvironmental variablesGenetic variantsDiabetes/obesityGxE interactionsPancreatic cancerStudy sitesGenetic factorsMajor modifiable risk factorHit regionsModifiable risk factorsInteraction analysisAssessment 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 ancestryA 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
Association Between Levels of Sex Hormones and Risk of Esophageal Adenocarcinoma and Barrett’s Esophagus
Xie SH, Fang R, Huang M, Dai J, Thrift AP, Anderson LA, Chow WH, Bernstein L, Gammon MD, Risch HA, Shaheen NJ, Reid BJ, Wu AH, Iyer PG, Liu G, Corley DA, Whiteman DC, Caldas C, Pharoah PD, Hardie LJ, Fitzgerald RC, Shen H, Vaughan TL, Lagergren J. Association Between Levels of Sex Hormones and Risk of Esophageal Adenocarcinoma and Barrett’s Esophagus. Clinical Gastroenterology And Hepatology 2019, 18: 2701-2709.e3. PMID: 31756444, PMCID: PMC7580878, DOI: 10.1016/j.cgh.2019.11.030.Peer-Reviewed Original ResearchMeSH KeywordsAdenocarcinomaBarrett EsophagusEsophageal NeoplasmsFemaleGenome-Wide Association StudyGonadal Steroid HormonesHumansMaleRisk FactorsConceptsRisk of BERisk of EACBarrett's esophagusMendelian randomization analysisSex hormonesOdds ratioRandomization analysisSex hormone-binding globulinSpecific sex hormonesFree androgen indexFollicle-stimulating hormoneHormone-binding globulinGenetic risk scoreAndrogen indexDecreased riskEsophageal adenocarcinomaRisk scoreEsophagusAbstractTextLogistic regressionHormoneClear associationControl participantsGenetic factorsWomenGenome-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 ResearchMeSH KeywordsCarcinoma, Ovarian EpithelialCase-Control StudiesDNA Copy Number VariationsFemaleGenome-Wide Association StudyHumansConceptsCommon 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 AtlasDeletionGenome-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, NeoplasmDNA-Binding ProteinsFemaleGenetic 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 enrichment
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 associations