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 ResearchConceptsPancreatic 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 populationsIntegrative multi-omics analyses to identify the genetic and functional mechanisms underlying ovarian cancer risk regions
Dareng E, Coetzee S, Tyrer J, Peng P, Rosenow W, Chen S, Davis B, Dezem F, Seo J, Nameki R, Reyes A, Aben K, Anton-Culver H, Antonenkova N, Aravantinos G, Bandera E, Freeman L, Beckmann M, Beeghly-Fadiel A, Benitez J, Bernardini M, Bjorge L, Black A, Bogdanova N, Bolton K, Brenton J, Budzilowska A, Butzow R, Cai H, Campbell I, Cannioto R, Chang-Claude J, Chanock S, Chen K, Chenevix-Trench G, Group A, Chiew Y, Cook L, DeFazio A, Dennis J, Doherty J, Dörk T, du Bois A, Dürst M, Eccles D, Ene G, Fasching P, Flanagan J, Fortner R, Fostira F, Gentry-Maharaj A, Giles G, Goodman M, Gronwald J, Haiman C, Håkansson N, Heitz F, Hildebrandt M, Høgdall E, Høgdall C, Huang R, Jensen A, Jones M, Kang D, Karlan B, Karnezis A, Kelemen L, Kennedy C, Khusnutdinova E, Kiemeney L, Kjaer S, Kupryjanczyk J, Labrie M, Lambrechts D, Larson M, Le N, Lester J, Li L, Lubiński J, Lush M, Marks J, Matsuo K, May T, McLaughlin J, McNeish I, Menon U, Missmer S, Modugno F, Moffitt M, Monteiro A, Moysich K, Narod S, Nguyen-Dumont T, Odunsi K, Olsson H, Onland-Moret N, Park S, Pejovic T, Permuth J, Piskorz A, Prokofyeva D, Riggan M, Risch H, Rodríguez-Antona C, Rossing M, Sandler D, Setiawan V, Shan K, Song H, Southey M, Steed H, Sutphen R, Swerdlow A, Teo S, Terry K, Thompson P, Thomsen L, Titus L, Trabert B, Travis R, Tworoger S, Valen E, Van Nieuwenhuysen E, Edwards D, Vierkant R, Webb P, Group O, Weinberg C, Weise R, Wentzensen N, White E, Winham S, Wolk A, Woo Y, Wu A, Yan L, Yannoukakos D, Zeinomar N, Zheng W, Ziogas A, Berchuck A, Goode E, Huntsman D, Pearce C, Ramus S, Sellers T, Consortium T, Freedman M, Lawrenson K, Schildkraut J, Hazelett D, Plummer J, Kar S, Jones M, Pharoah P, Gayther S. Integrative multi-omics analyses to identify the genetic and functional mechanisms underlying ovarian cancer risk regions. American Journal Of Human Genetics 2024, 111: 1061-1083. PMID: 38723632, PMCID: PMC11179261, DOI: 10.1016/j.ajhg.2024.04.011.Peer-Reviewed Original ResearchTranscriptome-wide association studyRisk lociAssociation studiesTranscription factor ChIP-seqSusceptibility genesGenome-wide association analysisGenome-wide association studiesCausal risk variantsControls of European originTranscriptome-wide associationEpithelial ovarian cancerVariant Effect PredictorIntegrative multi-omics analysisMulti-omics analysisChIP-seqChromatin marksGenomic regionsFine-mappingSusceptibility lociInteractome analysisAssociation analysisEpithelial ovarian cancer histotypesRisk variantsTissue-specificLoci
2020
Hepcidin-regulating Iron-metabolism Genes and Pancreatic Ductal Adenocarcinoma: A Pathway Analysis of Genome-wide Association Studies
Julián-Serrano S, Yuan F, Benyamin B, Wheeler W, Amundadottir L, Jacobs E, Kraft P, Li D, Petersen G, Risch H, Wolpin B, Yu K, Klein A, Stolzenberg-Solomon R. Hepcidin-regulating Iron-metabolism Genes and Pancreatic Ductal Adenocarcinoma: A Pathway Analysis of Genome-wide Association Studies. Cancer Epidemiology Biomarkers & Prevention 2020, 29: 692-692. DOI: 10.1158/1055-9965.epi-20-0056.Peer-Reviewed Original ResearchSingle nucleotide polymorphismsAssociation studiesSNP-level associationsGenome-wide association studiesAssociated single-nucleotide polymorphismsAdjacent genomic regionsWide association studyPrevious GWAS studiesIron metabolism genesIron metabolismGenomic regionsTfR1 genePancreatic ductal adenocarcinomaGWAS studiesPancreatic Cancer Case-Control ConsortiumPathway associationsPathway analysisGenesGenetic susceptibilityAdaptive rankRare mutationsAbstract Pancreatic ductal adenocarcinomaCommon variantsPathwayPotential roleFine-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
2015
Common variants at the CHEK2 gene locus and risk of epithelial ovarian cancer
Lawrenson K, Iversen ES, Tyrer J, Weber RP, Concannon P, Hazelett DJ, Li Q, Marks JR, Berchuck A, Lee JM, Aben KK, Anton-Culver H, Antonenkova N, Bandera E, Bean Y, Beckmann M, Bisogna M, Bjorge L, Bogdanova N, Brinton L, Brooks-Wilson A, Bruinsma F, Butzow R, Campbell I, Carty K, Chang-Claude J, Chenevix-Trench G, Chen A, Chen Z, Cook L, Cramer D, Cunningham J, Cybulski C, Plisiecka-Halasa J, Dennis J, Dicks E, Doherty J, Dörk T, du Bois A, Eccles D, Easton D, Edwards R, Eilber U, Ekici A, Fasching P, Fridley B, Gao Y, Gentry-Maharaj A, Giles G, Glasspool R, Goode E, Goodman M, Gronwald J, Harter P, Hasmad H, Hein A, Heitz F, Hildebrandt M, Hillemanns P, Hogdall E, Hogdall C, Hosono S, Jakubowska A, Paul J, Jensen A, Karlan B, Kjaer S, Kelemen L, Kellar M, Kelley J, Kiemeney L, Krakstad C, Lambrechts D, Lambrechts S, Le N, Lee A, Cannioto R, Leminen A, Lester J, Levine D, Liang D, Lissowska J, Lu K, Lubinski J, Lundvall L, Massuger L, Matsuo K, McGuire V, McLaughlin J, Nevanlinna H, McNeish I, Menon U, Modugno F, Moysich K, Narod S, Nedergaard L, Ness R, Azmi M, Odunsi K, Olson S, Orlow I, Orsulic S, Pearce C, Pejovic T, Pelttari L, Permuth-Wey J, Phelan C, Pike M, Poole E, Ramus S, Risch H, Rosen B, Rossing M, Rothstein J, Rudolph A, Runnebaum I, Rzepecka I, Salvesen H, Budzilowska A, Sellers T, Shu X, Shvetsov Y, Siddiqui N, Sieh W, Song H, Southey M, Sucheston L, Tangen I, Teo S, Terry K, Thompson P, Timorek A, Tworoger S, Van Nieuwenhuysen E, Vergote I, Vierkant R, Wang-Gohrke S, Walsh C, Wentzensen N, Whittemore A, Wicklund K, Wilkens L, Woo Y, Wu X, Wu A, Yang H, Zheng W, Ziogas A, Coetzee G, Freedman M, Monteiro A, Moes-Sosnowska J, Kupryjanczyk J, Pharoah P, Gayther S, Schildkraut J. Common variants at the CHEK2 gene locus and risk of epithelial ovarian cancer. Carcinogenesis 2015, 36: 1341-1353. PMID: 26424751, PMCID: PMC4635670, DOI: 10.1093/carcin/bgv138.Peer-Reviewed Original ResearchConceptsGene locusCommon variantsGenome-wide association studiesAdditional risk variantsDNA repair genesCommon genetic variantsImputation of genotypesCancer Genome Atlas (TCGA) datasetFunctional annotationGenomic regionsTranscription factorsRegulatory elementsNormal fallopian tube tissuesGenome ProjectCausal variantsPrecursor tissueGene expressionSerous epithelial ovarian cancerCandidate SNPsAssociation studiesAdditional genotypingRepair genesSusceptibility genesRisk variantsGenetic variants
2013
A Resequence Analysis of Genomic Loci on Chromosomes 1q32.1, 5p15.33, and 13q22.1 Associated With Pancreatic Cancer Risk
Parikh H, Jia J, Zhang X, Chung CC, Jacobs KB, Yeager M, Boland J, Hutchinson A, Burdett L, Hoskins J, Risch HA, Stolzenberg-Solomon RZ, Chanock SJ, Wolpin BM, Petersen GM, Fuchs CS, Hartge P, Amundadottir L. A Resequence Analysis of Genomic Loci on Chromosomes 1q32.1, 5p15.33, and 13q22.1 Associated With Pancreatic Cancer Risk. Pancreas 2013, 42: 209-215. PMID: 23295781, PMCID: PMC3618611, DOI: 10.1097/mpa.0b013e318264cea5.Peer-Reviewed Original ResearchMeSH KeywordsChromosomes, Human, Pair 1Chromosomes, Human, Pair 13Chromosomes, Human, Pair 5Databases, GeneticGene FrequencyGenetic LociGenetic Predisposition to DiseaseGenome-Wide Association StudyHaplotypesHumansLinkage DisequilibriumPancreatic NeoplasmsPolymorphism, Single NucleotideRacial GroupsRisk AssessmentRisk FactorsSequence Analysis, DNAConceptsGenome-wide association studiesSingle nucleotide polymorphismsChromosome 1q32.1Novel single nucleotide polymorphismsTag SNP analysisResequence analysisGenomic lociLess common variantsContinental populationsGenomic regionsGenome dataRoche 454GWAS dataAssociation studiesHapMap samplesSusceptibility lociHaplotype blocksSNP analysisAnalytical pipelineGermline variationSusceptibility regionsCommon variantsEuropean populationsGermline sequencesLoci