2021
A 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 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 cancerPopulation
2019
Functional 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 genes
2017
Enrichment of putative PAX8 target genes at serous epithelial ovarian cancer susceptibility loci
Kar SP, Adler E, Tyrer J, Hazelett D, Anton-Culver H, Bandera EV, Beckmann MW, Berchuck A, Bogdanova N, Brinton L, Butzow R, Campbell I, Carty K, Chang-Claude J, Cook LS, Cramer DW, Cunningham JM, Dansonka-Mieszkowska A, Doherty JA, Dörk T, Dürst M, Eccles D, Fasching PA, Flanagan J, Gentry-Maharaj A, Glasspool R, Goode EL, Goodman MT, Gronwald J, Heitz F, Hildebrandt MA, Høgdall E, Høgdall CK, Huntsman DG, Jensen A, Karlan BY, Kelemen LE, Kiemeney LA, Kjaer SK, Kupryjanczyk J, Lambrechts D, Levine DA, Li Q, Lissowska J, Lu KH, Lubiński J, Massuger LF, McGuire V, McNeish I, Menon U, Modugno F, Monteiro AN, Moysich KB, Ness RB, Nevanlinna H, Paul J, Pearce CL, Pejovic T, Permuth JB, Phelan C, Pike MC, Poole EM, Ramus SJ, Risch HA, Rossing MA, Salvesen HB, Schildkraut JM, Sellers TA, Sherman M, Siddiqui N, Sieh W, Song H, Southey M, Terry KL, Tworoger SS, Walsh C, Wentzensen N, Whittemore AS, Wu AH, Yang H, Zheng W, Ziogas A, Freedman ML, Gayther SA, Pharoah PD, Lawrenson K. Enrichment of putative PAX8 target genes at serous epithelial ovarian cancer susceptibility loci. British Journal Of Cancer 2017, 116: 524-535. PMID: 28103614, PMCID: PMC5318969, DOI: 10.1038/bjc.2016.426.Peer-Reviewed Original ResearchMeSH KeywordsCarcinoma, Ovarian EpithelialCase-Control StudiesCell Line, TumorCell Transformation, NeoplasticCystadenocarcinoma, SerousFemaleGene AmplificationGene Expression ProfilingGene Expression Regulation, NeoplasticGenetic LociGenetic Predisposition to DiseaseGenome-Wide Association StudyHumansMeta-Analysis as TopicMicroarray AnalysisNeoplasms, Glandular and EpithelialOvarian NeoplasmsPolymorphism, Single NucleotideConceptsGenome-wide association studiesTarget genesTranscription factorsRisk lociOvarian cancer susceptibility lociCancer risk lociDifferential gene expressionCancer susceptibility lociMolecular Signatures DatabaseShRNA-mediated silencingGene setsEnrichment analysisGene expressionTranscriptomic perturbationsAssociation studiesSusceptibility lociGenesLociOvarian cancer susceptibilityRisk variantsAgnostic evaluationCell of originCancer susceptibilityBiological mechanismsPathway
2015
Cis-eQTL analysis and functional validation of candidate susceptibility genes for high-grade serous ovarian cancer
Lawrenson K, Li Q, Kar S, Seo JH, Tyrer J, Spindler TJ, Lee J, Chen Y, Karst A, Drapkin R, Aben KK, Anton-Culver H, Antonenkova N, Baker H, Bandera E, Bean Y, Beckmann M, Berchuck A, 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, Dansonka-Mieszkowska A, Dennis J, Dicks E, Doherty J, Dörk T, du Bois A, Dürst M, 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, Grownwald J, Harrington P, Harter P, Hasmad H, Hein A, Heitz F, Hildebrandt M, Hillemanns P, Hogdall E, Hogdall C, Hosono S, Iversen E, Jakubowska A, James P, Jensen A, Ji B, Karlan B, Kruger Kjaer S, Kelemen L, Kellar M, Kelley J, Kiemeney L, Krakstad C, Kupryjanczyk J, Lambrechts D, Lambrechts S, Le N, Lee A, Lele S, 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, Weber R, 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, Schildkraut J, Schwaab I, 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, Tsai Y, Tworoger S, van Altena A, 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, Monteiro A, Pharoah P, Gayther S, Freedman M. Cis-eQTL analysis and functional validation of candidate susceptibility genes for high-grade serous ovarian cancer. Nature Communications 2015, 6: 8234. PMID: 26391404, PMCID: PMC4580986, DOI: 10.1038/ncomms9234.Peer-Reviewed Original ResearchMeSH KeywordsCarcinoma, Ovarian EpithelialCell Line, TumorFemaleGene Expression Regulation, NeoplasticGenetic Association StudiesGenetic Predisposition to DiseaseHomeodomain ProteinsHumansNeoplasm ProteinsNeoplasms, Glandular and EpithelialNuchal CordOvarian NeoplasmsProtein BindingQuantitative Trait LociConceptsCandidate susceptibility genesExpression quantitative trait loci (eQTL) analysisQuantitative trait locus (QTL) analysisChromosome conformation captureGenome-wide association studiesSusceptibility genesCis-eQTL analysisHigh-grade serous epithelial ovarian cancerAnchorage-independent growthConformation captureHOXD9 promoterTranscriptomic profilingCausal variantsFunctional validationRisk lociLocus analysisAssociation studiesBroader roleFunctional roleGenesContact inhibitionRisk variantsPopulation-doubling timePrecursor cellsHOXD9Biological and Clinical Significance of MAD2L1 and BUB1, Genes Frequently Appearing in Expression Signatures for Breast Cancer Prognosis
Wang Z, Katsaros D, Shen Y, Fu Y, Canuto EM, Benedetto C, Lu L, Chu WM, Risch HA, Yu H. Biological and Clinical Significance of MAD2L1 and BUB1, Genes Frequently Appearing in Expression Signatures for Breast Cancer Prognosis. PLOS ONE 2015, 10: e0136246. PMID: 26287798, PMCID: PMC4546117, DOI: 10.1371/journal.pone.0136246.Peer-Reviewed Original ResearchConceptsBreast cancer prognosisCancer prognosisGene expression signaturesExpression signaturesPoor disease-free survivalDisease-free survivalBreast cancer patientsBreast cancer cell linesBreast cancer progressionMDA-MB-468Tumor cell growthMDA-MB-231Multiple gene expression signaturesCancer cell linesAggressive tumorsCancer patientsClinical significanceDisease outcomeTumor featuresClinical implicationsPrognosisCancer progressionBiologic relevanceHigh expressionCell proliferationPrognostic and predictive values of long non-coding RNA LINC00472 in breast cancer
Shen Y, Katsaros D, Loo LW, Hernandez BY, Chong C, Canuto EM, Biglia N, Lu L, Risch H, Chu WM, Yu H. Prognostic and predictive values of long non-coding RNA LINC00472 in breast cancer. Oncotarget 2015, 6: 8579-8592. PMID: 25865225, PMCID: PMC4496168, DOI: 10.18632/oncotarget.3287.Peer-Reviewed Original ResearchMeSH KeywordsAdultAgedAged, 80 and overAntineoplastic Agents, HormonalBreast NeoplasmsCarcinomaCell DivisionCell Line, TumorCell MovementChemotherapy, AdjuvantDisease-Free SurvivalFemaleGene ExpressionGenes, Tumor SuppressorGenetic VectorsHumansMiddle AgedNeoplasm GradingNeoplasm StagingPrognosisRecurrenceRiskRNARNA, Long NoncodingRNA, NeoplasmTissue Array AnalysisTreatment OutcomeYoung AdultConceptsLINC00472 expressionBreast cancerPredictive valueBreast tumorsLow expressionBreast cancer cell proliferationFavorable molecular subtypesNormal-like tumorsFavorable disease outcomeAggressive breast tumorsRisk of relapseCell proliferationCancer cell proliferationBreast cancer cellsBreast tumor samplesAdjuvant chemoHormonal therapyLuminal AClinical managementDisease outcomeGene Expression Omnibus databaseMolecular subtypesLong non-coding RNALINC00472Tumor samples
2011
LIN28B Polymorphisms Influence Susceptibility to Epithelial Ovarian Cancer
Permuth-Wey J, Kim D, Tsai YY, Lin HY, Chen YA, Barnholtz-Sloan J, Birrer MJ, Bloom G, Chanock SJ, Chen Z, Cramer DW, Cunningham JM, Dagne G, Ebbert-Syfrett J, Fenstermacher D, Fridley BL, Garcia-Closas M, Gayther SA, Ge W, Gentry-Maharaj A, Gonzalez-Bosquet J, Goode EL, Iversen E, Jim H, Kong W, McLaughlin J, Menon U, Monteiro AN, Narod SA, Pharoah PD, Phelan CM, Qu X, Ramus SJ, Risch H, Schildkraut JM, Song H, Stockwell H, Sutphen R, Terry KL, Tyrer J, Vierkant RA, Wentzensen N, Lancaster JM, Cheng JQ, Sellers TA, Consortium O. LIN28B Polymorphisms Influence Susceptibility to Epithelial Ovarian Cancer. Cancer Research 2011, 71: 3896-3903. PMID: 21482675, PMCID: PMC3107389, DOI: 10.1158/0008-5472.can-10-4167.Peer-Reviewed Original ResearchMeSH KeywordsAdenocarcinomaAllelesCarcinoma, Ovarian EpithelialCase-Control StudiesCell Line, TumorDNA, NeoplasmDNA-Binding ProteinsFemaleGenetic Predisposition to DiseaseHumansMicroRNAsMiddle AgedNeoplasms, Glandular and EpithelialOvarian NeoplasmsPolymorphism, Single NucleotideRNA-Binding ProteinsTransfectionConceptsMiRNA biogenesis genesSingle nucleotide polymorphismsBiogenesis genesPutative transcription factorLuciferase reporter assaysMicroRNA biogenesisTranscription factorsPromoter regionTumor suppressorReporter assaysQuantitative RT-PCREOC susceptibilityGenesNucleotide polymorphismsLIN28B overexpressionLIN28B expressionLIN28B geneInfluence susceptibilityRT-PCRExpressionEpithelial ovarian cancerBiogenesisDroshaOvarian cancerFMR1