2021
Examining the effect of obesity-associated gene variants on breast cancer survivors in a randomized weight loss intervention
Nguyen T, Irwin ML, Dewan AT, Cartmel B, Harrigan M, Ferrucci LM, Sanft T, Li F, Lu L, Salinas YD. Examining the effect of obesity-associated gene variants on breast cancer survivors in a randomized weight loss intervention. Breast Cancer Research And Treatment 2021, 187: 487-497. PMID: 33677781, DOI: 10.1007/s10549-021-06151-5.Peer-Reviewed Original ResearchConceptsBreast cancer survivorsUsual care groupWeight loss interventionCancer survivorsLoss interventionCare groupFTO rs9939609Percent body fat changesWeight lossMeaningful weight lossBody fat changesBody mass indexObesity-associated gene FTOObesity-associated gene variantsPercent body fatGreater weight lossLifestyle interventionMass indexTreatment armsIntervention groupBreast cancerBody fatFat changesPurposeOur studyHealthy eating
2018
Identification 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 allelesGenome-wide association analysis identifies a meningioma risk locus at 11p15.5
Claus EB, Cornish AJ, Broderick P, Schildkraut JM, Dobbins SE, Holroyd A, Calvocoressi L, Lu L, Hansen HM, Smirnov I, Walsh KM, Schramm J, Hoffmann P, Nöthen MM, Jöckel KH, Swerdlow A, Larsen SB, Johansen C, Simon M, Bondy M, Wrensch M, Houlston RS, Wiemels JL. Genome-wide association analysis identifies a meningioma risk locus at 11p15.5. Neuro-Oncology 2018, 20: 1485-1493. PMID: 29762745, PMCID: PMC6176799, DOI: 10.1093/neuonc/noy077.Peer-Reviewed Original ResearchMeSH KeywordsAdultAgedBiomarkers, TumorCase-Control StudiesChromosomes, Human, Pair 11FemaleFollow-Up StudiesGenetic LociGenetic Predisposition to DiseaseGenome-Wide Association StudyGenotypeHumansLinkage DisequilibriumMaleMeningeal NeoplasmsMeningiomaMiddle AgedPolymorphism, Single NucleotidePrognosisRisk FactorsYoung AdultConceptsGenome-wide association studiesRisk lociGenome-wide association analysisSusceptibility lociNeural crest-derived structuresSignificant heritable basisNumber of genesIndependent sample seriesNew susceptibility lociHeritable basisGenetic basisGenome ProjectAssociation studiesAssociation analysisLinkage disequilibriumLociMeningioma developmentReference panelPolygenic modelCentral roleUK10K dataAdult brain tumorsRIC8AMeningeal coveringsGenes
2016
Association of nineteen polymorphisms from seven DNA repair genes and the risk for bladder cancer in Gansu province of China
Zhu G, Su H, Lu L, Guo H, Chen Z, Sun Z, Song R, Wang X, Li H, Wang Z. Association of nineteen polymorphisms from seven DNA repair genes and the risk for bladder cancer in Gansu province of China. Oncotarget 2016, 7: 31372-31383. PMID: 27153553, PMCID: PMC5058763, DOI: 10.18632/oncotarget.9146.Peer-Reviewed Original ResearchConceptsBladder cancerChinese populationDNA repair genesBladder cancer patientsMaximal testing accuracyRepair genesHan Chinese populationCross-validation consistencyNorthwest Chinese populationCancer patientsHealthy controlsElevated riskSignificant associationHaplotype GTCancerDNA repair-associated genesRepair-associated genesXRCC3 geneRiskGWAS meta-analysis of 16 852 women identifies new susceptibility locus for endometrial cancer
Chen MM, O'Mara TA, Thompson DJ, Painter JN, Group T, Attia J, Black A, Brinton L, Chanock S, Chen C, Cheng T, Cook L, Crous-Bou M, Doherty J, Friedenreich C, Garcia-Closas M, Gaudet M, Gorman M, Haiman C, Hankinson S, Hartge P, Henderson B, Hodgson S, Holliday E, Horn-Ross P, Hunter D, Le Marchand L, Liang X, Lissowska J, Long J, Lu L, Magliocco A, Martin L, McEvoy M, Group S, Olson S, Orlow I, Pooler L, Prescott J, Rastogi R, Rebbeck T, Risch H, Sacerdote C, Schumacher F, Setiawan V, Scott R, Sheng X, Shu X, Turman C, Van Den Berg D, Wang Z, Weiss N, Wentzensen N, Xia L, Xiang Y, Yang H, Yu H, Zheng W, Pharoah P, Dunning A, Tomlinson I, Easton D, Kraft P, Spurdle A, De Vivo I. GWAS meta-analysis of 16 852 women identifies new susceptibility locus for endometrial cancer. Human Molecular Genetics 2016, 25: 2612-2620. PMID: 27008869, PMCID: PMC5868213, DOI: 10.1093/hmg/ddw092.Peer-Reviewed Original ResearchConceptsEndometrial cancerCommon gynecological malignancyMeta-analysis resultsGynecological malignanciesGenome-wide significanceGenetic predispositionWide association studyNew susceptibility lociGenetic susceptibilityGenetic riskCancerNew lociAssociation studiesEuropean ancestrySusceptibility lociWomen
2015
Joint Effect of Genotypic and Phenotypic Features of Reproductive Factors on Endometrial Cancer Risk
Wang Z, Risch H, Lu L, Irwin ML, Mayne S, Schwartz P, Rutherford T, De Vivo I, Yu H. Joint Effect of Genotypic and Phenotypic Features of Reproductive Factors on Endometrial Cancer Risk. Scientific Reports 2015, 5: 15582. PMID: 26498156, PMCID: PMC4620445, DOI: 10.1038/srep15582.Peer-Reviewed Original ResearchConceptsEndometrial cancer riskEndometrial cancerCancer riskEstrogen exposureEndometrial cancer patientsTime of studyGenetic risk scorePotential confoundersCancer patientsMenstrual cycleReproductive factorsRisk scorePossible markerMajor causeCancerMenopauseObesityPhenotypic featuresRiskPopulation controlsAgeMenarcheWomenExposureTNMCCommon variation at 2p13.3, 3q29, 7p13 and 17q25.1 associated with susceptibility to pancreatic cancer
Childs EJ, Mocci E, Campa D, Bracci PM, Gallinger S, Goggins M, Li D, Neale RE, Olson SH, Scelo G, Amundadottir LT, Bamlet WR, Bijlsma MF, Blackford A, Borges M, Brennan P, Brenner H, Bueno-de-Mesquita HB, Canzian F, Capurso G, Cavestro GM, Chaffee KG, Chanock SJ, Cleary SP, Cotterchio M, Foretova L, Fuchs C, Funel N, Gazouli M, Hassan M, Herman JM, Holcatova I, Holly EA, Hoover RN, Hung RJ, Janout V, Key TJ, Kupcinskas J, Kurtz RC, Landi S, Lu L, Malecka-Panas E, Mambrini A, Mohelnikova-Duchonova B, Neoptolemos JP, Oberg AL, Orlow I, Pasquali C, Pezzilli R, Rizzato C, Saldia A, Scarpa A, Stolzenberg-Solomon RZ, Strobel O, Tavano F, Vashist YK, Vodicka P, Wolpin BM, Yu H, Petersen GM, Risch HA, Klein AP. Common variation at 2p13.3, 3q29, 7p13 and 17q25.1 associated with susceptibility to pancreatic cancer. Nature Genetics 2015, 47: 911-916. PMID: 26098869, PMCID: PMC4520746, DOI: 10.1038/ng.3341.Peer-Reviewed Original ResearchMeSH KeywordsAgedAustraliaChromosomes, Human, Pair 17Chromosomes, Human, Pair 2Chromosomes, Human, Pair 3Chromosomes, Human, Pair 7EuropeFemaleGene FrequencyGenetic LociGenetic Predisposition to DiseaseGenome-Wide Association StudyGenotypeHumansMaleMiddle AgedNorth AmericaPancreatic NeoplasmsPolymorphism, Single NucleotideRisk FactorsCharacterization of Large Structural Genetic Mosaicism in Human Autosomes
Machiela MJ, Zhou W, Sampson JN, Dean MC, Jacobs KB, Black A, Brinton LA, Chang IS, Chen C, Chen C, Chen K, Cook LS, Bou M, De Vivo I, Doherty J, Friedenreich CM, Gaudet MM, Haiman CA, Hankinson SE, Hartge P, Henderson BE, Hong YC, Hosgood HD, Hsiung CA, Hu W, Hunter DJ, Jessop L, Kim HN, Kim YH, Kim YT, Klein R, Kraft P, Lan Q, Lin D, Liu J, Le Marchand L, Liang X, Lissowska J, Lu L, Magliocco AM, Matsuo K, Olson SH, Orlow I, Park JY, Pooler L, Prescott J, Rastogi R, Risch HA, Schumacher F, Seow A, Setiawan VW, Shen H, Sheng X, Shin MH, Shu XO, Berg D, Wang JC, Wentzensen N, Wong MP, Wu C, Wu T, Wu YL, Xia L, Yang HP, Yang PC, Zheng W, Zhou B, Abnet CC, Albanes D, Aldrich MC, Amos C, Amundadottir LT, Berndt SI, Blot WJ, Bock CH, Bracci PM, Burdett L, Buring JE, Butler MA, Carreón T, Chatterjee N, Chung CC, Cook MB, Cullen M, Davis FG, Ding T, Duell EJ, Epstein CG, Fan JH, Figueroa JD, Fraumeni JF, Freedman ND, Fuchs CS, Gao YT, Gapstur SM, Patiño-Garcia A, Garcia-Closas M, Gaziano JM, Giles GG, Gillanders EM, Giovannucci EL, Goldin L, Goldstein AM, Greene MH, Hallmans G, Harris CC, Henriksson R, Holly EA, Hoover RN, Hu N, Hutchinson A, Jenab M, Johansen C, Khaw KT, Koh WP, Kolonel LN, Kooperberg C, Krogh V, Kurtz RC, LaCroix A, Landgren A, Landi MT, Li D, Liao LM, Malats N, McGlynn KA, McNeill LH, McWilliams RR, Melin BS, Mirabello L, Peplonska B, Peters U, Petersen GM, Prokunina-Olsson L, Purdue M, Qiao YL, Rabe KG, Rajaraman P, Real FX, Riboli E, Rodríguez-Santiago B, Rothman N, Ruder AM, Savage SA, Schwartz AG, Schwartz KL, Sesso HD, Severi G, Silverman DT, Spitz MR, Stevens VL, Stolzenberg-Solomon R, Stram D, Tang ZZ, Taylor PR, Teras LR, Tobias GS, Viswanathan K, Wacholder S, Wang Z, Weinstein SJ, Wheeler W, White E, Wiencke JK, Wolpin BM, Wu X, Wunder JS, Yu K, Zanetti KA, Zeleniuch-Jacquotte A, Ziegler RG, de Andrade M, Barnes KC, Beaty TH, Bierut LJ, Desch KC, Doheny KF, Feenstra B, Ginsburg D, Heit JA, Kang JH, Laurie CA, Li JZ, Lowe WL, Marazita ML, Melbye M, Mirel DB, Murray JC, Nelson SC, Pasquale LR, Rice K, Wiggs JL, Wise A, Tucker M, Pérez-Jurado LA, Laurie CC, Caporaso NE, Yeager M, Chanock SJ. Characterization of Large Structural Genetic Mosaicism in Human Autosomes. American Journal Of Human Genetics 2015, 96: 487-497. PMID: 25748358, PMCID: PMC4375431, DOI: 10.1016/j.ajhg.2015.01.011.Peer-Reviewed Original ResearchConceptsGenetic mosaicismGenome-wide association study dataLarge structural eventsAssociation study dataHuman autosomesGenotyped individualsAutosomal mosaicismMosaicismStructural eventsMosaic cellsUnique abilityAfrican ancestryFraction of individualsCombined resultsAutosomesComplex changesGenomeAncestryCellsLarge combined sampleAutosomal abnormalitiesMB
2014
Interaction between serotonin transporter gene-linked polymorphic region (5-HTTLPR) and job-related stress in insomnia: a cross-sectional study in Sichuan, China
Huang C, Li J, Lu L, Ren X, Li Y, Huang Q, Lan Y, Wang Y. Interaction between serotonin transporter gene-linked polymorphic region (5-HTTLPR) and job-related stress in insomnia: a cross-sectional study in Sichuan, China. Sleep Medicine 2014, 15: 1269-1275. PMID: 25154585, DOI: 10.1016/j.sleep.2014.01.023.Peer-Reviewed Original Research
2013
The Imprinted H19 LncRNA Antagonizes Let-7 MicroRNAs
Kallen AN, Zhou XB, Xu J, Qiao C, Ma J, Yan L, Lu L, Liu C, Yi JS, Zhang H, Min W, Bennett AM, Gregory RI, Ding Y, Huang Y. The Imprinted H19 LncRNA Antagonizes Let-7 MicroRNAs. Molecular Cell 2013, 52: 101-112. PMID: 24055342, PMCID: PMC3843377, DOI: 10.1016/j.molcel.2013.08.027.Peer-Reviewed Original ResearchMeSH KeywordsAnimalsBinding SitesCell DifferentiationComputational BiologyDatabases, GeneticGene Expression ProfilingGene Expression RegulationGenomic ImprintingGenotypeHEK293 CellsHuman Umbilical Vein Endothelial CellsHumansMiceMicroRNAsMuscle DevelopmentMyoblasts, SkeletalPhenotypeRibonucleoproteinsRNA InterferenceRNA, Long NoncodingTime FactorsTransfectionConceptsLet-7 familyWide transcriptome analysisHuman genetic disordersNoncanonical binding siteLet-7 microRNALet-7 overexpressionGene functionH19 depletionTranscriptome analysisMuscle differentiationMolecular spongeUnexpected modeImportant regulatorAdult muscleH19 knockdownRecent implicationMiR-675Physiological significanceMicroRNAsH19Binding sitesGenetic disordersOverexpressionImportant roleFetal tissuesABO Blood Group and Risk of Pancreatic Cancer: A Study in Shanghai and Meta-Analysis
Risch HA, Lu L, Wang J, Zhang W, Ni Q, Gao YT, Yu H. ABO Blood Group and Risk of Pancreatic Cancer: A Study in Shanghai and Meta-Analysis. American Journal Of Epidemiology 2013, 177: 1326-1337. PMID: 23652164, PMCID: PMC3732019, DOI: 10.1093/aje/kws458.Peer-Reviewed Original ResearchConceptsABO blood groupGroup BBlood groupPancreatic cancerNonendemic populationsGroup ASummary odds ratio (OR) estimatesGastric epithelial expressionPositive Helicobacter pyloriCagA-negative H. pylori strainsCytotoxin-associated genePancreatic cancer casesBlood group BOdds ratio estimatesH. pylori strainsPooled studiesCancer casesEpithelial expressionHigh riskB antigensGroup OSystematic reviewMeta-AnalysisHelicobacter pyloriPylori strains
2012
Genome‐Wide Significant Association Signals in IPO11‐HTR1A Region Specific for Alcohol and Nicotine Codependence
Zuo L, Zhang X, Wang F, Li C, Lu L, Ye L, Zhang H, Krystal JH, Deng H, Luo X. Genome‐Wide Significant Association Signals in IPO11‐HTR1A Region Specific for Alcohol and Nicotine Codependence. Alcohol Clinical And Experimental Research 2012, 37: 730-739. PMID: 23216389, PMCID: PMC3610804, DOI: 10.1111/acer.12032.Peer-Reviewed Original ResearchMeSH KeywordsAdultAlcoholismBeta KaryopherinsBlack or African AmericanCase-Control StudiesChromosomes, Human, Pair 5FemaleGenetic Predisposition to DiseaseGenome-Wide Association StudyGenotypeHumansMaleMiddle AgedPolymorphism, Single NucleotideQuantitative Trait LociReceptor, Serotonin, 5-HT1ATobacco Use DisorderWhite PeopleConceptsGenome-wide significance levelSingle nucleotide polymorphismsReplication cohortDiscovery cohortAlcohol dependenceExpression quantitative loci (eQTL) analysisPeripheral blood mononuclear cell samplesNeuropsychiatric disordersWide significant association signalsMononuclear cell samplesGenome-wide association studiesQuantitative loci analysisGene-disease association analysisCis-eQTL analysisTop single nucleotide polymorphismsCis-acting regulatory effectsSignificant association signalsBrain tissue samplesAmerican controlsEuropean American controlsRisk single nucleotide polymorphismsAfrican-American controlsSevere subtypeGenomic regionsAfrican American cases
2011
A KRAS variant is a biomarker of poor outcome, platinum chemotherapy resistance and a potential target for therapy in ovarian cancer
Ratner ES, Keane FK, Lindner R, Tassi RA, Paranjape T, Glasgow M, Nallur S, Deng Y, Lu L, Steele L, Sand S, Muller RU, Bignotti E, Bellone S, Boeke M, Yao X, Pecorelli S, Ravaggi A, Katsaros D, Zelterman D, Cristea MC, Yu H, Rutherford TJ, Weitzel JN, Neuhausen SL, Schwartz PE, Slack FJ, Santin AD, Weidhaas JB. A KRAS variant is a biomarker of poor outcome, platinum chemotherapy resistance and a potential target for therapy in ovarian cancer. Oncogene 2011, 31: 4559-4566. PMID: 22139083, PMCID: PMC3342446, DOI: 10.1038/onc.2011.539.Peer-Reviewed Original ResearchMeSH Keywords3' Untranslated RegionsAgedAntineoplastic Combined Chemotherapy ProtocolsBiomarkers, TumorBRCA1 ProteinBRCA2 ProteinCarboplatinCell Line, TumorCell SurvivalDrug Resistance, NeoplasmFemaleGenotypeHumansKaplan-Meier EstimateMiddle AgedMultivariate AnalysisMutationNeoplasms, Glandular and EpithelialOvarian NeoplasmsPaclitaxelPolymorphism, Single NucleotidePrognosisProto-Oncogene ProteinsProto-Oncogene Proteins p21(ras)Ras ProteinsRNA InterferenceTreatment OutcomeConceptsEpithelial ovarian cancerEOC patientsKRAS-variantOvarian cancerPoor outcomeCancer riskTumor biologyPlatinum resistanceComplete clinical dataBiomarkers of outcomeDirect targetingEOC cell growthKnown BRCA mutationsFuture treatment approachesSubset of tumorsPlatinum chemotherapy resistanceCell linesNeoadjuvant chemotherapyBRCA mutationsClinical dataTreatment approachesChemotherapy resistanceKRAS oncogeneMultivariate analysisPatients
2010
Influence of GSTs, CYP2E1 and mEH polymorphisms on 1, 3-butadiene-induced micronucleus frequency in Chinese workers
Tan H, Wang Q, Wang A, Ye Y, Feng N, Feng X, Lu L, Au W, Zheng Y, Xia Z. Influence of GSTs, CYP2E1 and mEH polymorphisms on 1, 3-butadiene-induced micronucleus frequency in Chinese workers. Toxicology And Applied Pharmacology 2010, 247: 198-203. PMID: 20637790, DOI: 10.1016/j.taap.2010.07.006.Peer-Reviewed Original ResearchConceptsGenotypes of GSTM1Higher MN frequencyMicronucleus frequencyChromosomal damageNon-exposed healthy individualsMN frequencyPolymorphisms of GSTM1Lower micronucleus frequencyBD exposure levelsPeripheral lymphocytesHealthy individualsMEH polymorphismsMetabolic polymorphismsBD exposureGSTM1CYP2E1Exposure levelsHigh groupCBMN assayLow exposureHuman carcinogenPCR-RFLPChromosome damageIntermediate groupPresent study
2008
TGF-β1 genotype and phenotype in breast cancer and their associations with IGFs and patient survival
Mu L, Katsaros D, Lu L, Preti M, Durando A, Arisio R, Yu H. TGF-β1 genotype and phenotype in breast cancer and their associations with IGFs and patient survival. British Journal Of Cancer 2008, 99: 1357-1363. PMID: 18827819, PMCID: PMC2570529, DOI: 10.1038/sj.bjc.6604689.Peer-Reviewed Original ResearchConceptsHigher TGF-β1TGF-β1 genotypesTGF-β1T genotypeHazard ratioBreast cancerBreast tumorsProportional hazards regression analysisLower TGF-β1Early-stage diseaseHazards regression analysisBreast cancer patientsLate-stage diseaseShorter overall survivalFresh tumor samplesTGF-β1 concentrationsBreast cancer progressionClinical characteristicsIGFBP-3Overall survivalDisease recurrenceReceptor statusPatient survivalSurvival outcomesDisease stage
2007
IGF-I in epithelial ovarian cancer and its role in disease progression
Brokaw J, Katsaros D, Wiley A, Lu L, Su D, Sochirca O, de la Longrais IA, Mayne S, Risch H, Yu H. IGF-I in epithelial ovarian cancer and its role in disease progression. Growth Factors 2007, 25: 346-354. PMID: 18236213, DOI: 10.1080/08977190701838402.Peer-Reviewed Original ResearchConceptsIGF-I transcriptsDisease progressionOvarian cancerTumor progressionEpithelial ovarian cancer patientsIGF-I mRNA expressionInsulin-like growth factorParacrine/autocrine regulationIGF-I activityEpithelial ovarian cancerIGF-I actionOvarian cancer patientsFresh tumor samplesIGF-I expressionIGF-I mRNAOvarian cancer progressionEnzyme-linked immunosorbentParacrine/autocrineTotal IGFFree IGFClinicopathologic featuresCA polymorphismCancer patientsReal-time PCRElevated risk