2020
Expanding Our Understanding of Ovarian Cancer Risk: The Role of Incomplete Pregnancies
Lee AW, Rosenzweig S, Wiensch A, Group T, Ramus SJ, Menon U, Gentry-Maharaj A, Ziogas A, Anton-Culver H, Whittemore AS, Sieh W, Rothstein JH, McGuire V, Wentzensen N, Bandera EV, Qin B, Terry KL, Cramer DW, Titus L, Schildkraut JM, Berchuck A, Goode EL, Kjaer SK, Jensen A, Jordan SJ, Ness RB, Modugno F, Moysich K, Thompson PJ, Goodman MT, Carney ME, Chang-Claude J, Rossing MA, Harris HR, Doherty JA, Risch HA, Khoja L, Alimujiang A, Phung MT, Brieger K, Mukherjee B, Pharoah PDP, Wu AH, Pike MC, Webb PM, Pearce CL. Expanding Our Understanding of Ovarian Cancer Risk: The Role of Incomplete Pregnancies. Journal Of The National Cancer Institute 2020, 113: 301-308. PMID: 32766851, PMCID: PMC7936053, DOI: 10.1093/jnci/djaa099.Peer-Reviewed Original ResearchConceptsOvarian cancer riskInvasive epithelial ovarian cancerClear cell ovarian cancerIncomplete pregnanciesEpithelial ovarian cancerOvarian cancerOvarian Cancer Association ConsortiumCancer riskOdds ratioInvasive epithelial ovarian cancer casesEpithelial ovarian cancer casesHistotype-specific analysesHistotype-specific associationsOral contraceptive useInvasive ovarian cancerHistory of breastfeedingConfidence intervalsOvarian cancer casesCase-control studyOCAC studiesMajor histotypesPooled analysisInverse associationCancer casesComplete pregnancy
2019
A comprehensive gene–environment interaction analysis in Ovarian Cancer using genome‐wide significant common variants
Kim S, Wang M, Tyrer J, Jensen A, Wiensch A, Liu G, Lee A, Ness R, Salvatore M, Tworoger S, Whittemore A, Anton‐Culver H, Sieh W, Olson S, Berchuck A, Goode E, Goodman M, Doherty J, Chenevix‐Trench G, Rossing M, Webb P, Giles G, Terry K, Ziogas A, Fortner R, Menon U, Gayther S, Wu A, Song H, Brooks‐Wilson A, Bandera E, Cook L, Cramer D, Milne R, Winham S, Kjaer S, Modugno F, Thompson P, Chang‐Claude J, Harris H, Schildkraut J, Le N, Wentzensen N, Trabert B, Høgdall E, Huntsman D, Pike M, Pharoah P, Pearce C, Mukherjee B. A comprehensive gene–environment interaction analysis in Ovarian Cancer using genome‐wide significant common variants. International Journal Of Cancer 2019, 144: 2192-2205. PMID: 30499236, PMCID: PMC6399057, DOI: 10.1002/ijc.32029.Peer-Reviewed Original ResearchConceptsOral contraceptive pill useExcess risk due to additive interactionOvarian cancer risk factorsOral contraceptive pillsGene-environment interaction analysisCancer risk factorsGene-environment analysisOvarian cancer casesOCP useCase-control studyGenome-wide association analysisAdditive scaleCancer casesOvarian cancerOdds ratioCommon variantsDuration of OCP useRisk allelesRisk factorsGenetic variantsAdditive interactionAssociation analysisWomenFollow-upC allele
2018
Biobank-driven genomic discovery yields new insight into atrial fibrillation biology
Nielsen J, Thorolfsdottir R, Fritsche L, Zhou W, Skov M, Graham S, Herron T, McCarthy S, Schmidt E, Sveinbjornsson G, Surakka I, Mathis M, Yamazaki M, Crawford R, Gabrielsen M, Skogholt A, Holmen O, Lin M, Wolford B, Dey R, Dalen H, Sulem P, Chung J, Backman J, Arnar D, Thorsteinsdottir U, Baras A, O’Dushlaine C, Holst A, Wen X, Hornsby W, Dewey F, Boehnke M, Kheterpal S, Mukherjee B, Lee S, Kang H, Holm H, Kitzman J, Shavit J, Jalife J, Brummett C, Teslovich T, Carey D, Gudbjartsson D, Stefansson K, Abecasis G, Hveem K, Willer C. Biobank-driven genomic discovery yields new insight into atrial fibrillation biology. Nature Genetics 2018, 50: 1234-1239. PMID: 30061737, PMCID: PMC6530775, DOI: 10.1038/s41588-018-0171-3.Peer-Reviewed Original ResearchConceptsNear genesRisk variantsGenome-wide association studiesFunctional candidate genesIndependent risk variantsIdentified risk variantsFunctional enrichment analysisDeleterious mutationsAssociation studiesCandidate genesAtrial fibrillationGenetic variationGenomic discoveriesStriated muscle functionEnrichment analysisNKX2-5Fetal heart developmentResponse to stressGenesCardiac structural remodelingAtrial fibrillation casesHeart developmentHeart defectsAdult heartCardiac arrhythmias
2016
A splicing variant of TERT identified by GWAS interacts with menopausal estrogen therapy in risk of ovarian cancer
Lee A, Bomkamp A, Bandera E, Jensen A, Ramus S, Goodman M, Rossing M, Modugno F, Moysich K, Chang‐Claude J, Rudolph A, Gentry‐Maharaj A, Terry K, Gayther S, Cramer D, Doherty J, Schildkraut J, Kjaer S, Ness R, Menon U, Berchuck A, Mukherjee B, Roman L, Pharoah P, Chenevix‐Trench G, Olson S, Hogdall E, Wu A, Pike M, Stram D, Pearce C, Consortium F. A splicing variant of TERT identified by GWAS interacts with menopausal estrogen therapy in risk of ovarian cancer. International Journal Of Cancer 2016, 139: 2646-2654. PMID: 27420401, PMCID: PMC5500237, DOI: 10.1002/ijc.30274.Peer-Reviewed Original ResearchMeSH KeywordsAge FactorsAgedAged, 80 and overAllelesAlternative SplicingCase-Control StudiesDisease SusceptibilityEstrogen Replacement TherapyFemaleGene-Environment InteractionGenome-Wide Association StudyGenotypeHumansMenopauseMiddle AgedOdds RatioOvarian NeoplasmsPolymorphism, Single NucleotidePopulation SurveillanceRiskTelomeraseConceptsOvarian Cancer Association ConsortiumEstrogen-alone therapyOvarian cancer riskEndometrioid ovarian cancerOvarian cancerET usersET useT alleleAssociated with ovarian cancer riskCancer riskLong-term ET usersOvarian cancer susceptibility lociRisk of ovarian cancerSusceptibility variantsMenopausal estrogen therapyCancer susceptibility lociSerous ovarian cancerSplice variantsNon-usersCase-control studyConditional logistic regressionGenome-wide association studiesIncreased risk of diseaseEndometrioid histotypeEstrogen therapy
2014
Environmental Risk Score as a New Tool to Examine Multi-Pollutants in Epidemiologic Research: An Example from the NHANES Study Using Serum Lipid Levels
Park S, Tao Y, Meeker J, Harlow S, Mukherjee B. Environmental Risk Score as a New Tool to Examine Multi-Pollutants in Epidemiologic Research: An Example from the NHANES Study Using Serum Lipid Levels. PLOS ONE 2014, 9: e98632. PMID: 24901996, PMCID: PMC4047033, DOI: 10.1371/journal.pone.0098632.Peer-Reviewed Original ResearchConceptsEnvironmental risk scoreLipid outcomesEpidemiological researchNational Health and Nutrition Examination SurveyHealth and Nutrition Examination SurveyRisk scoreNutrition Examination SurveyAdverse health responsesSocio-demographic factorsMulti-pollutant exposuresDevelopment of chronic diseasesBody mass indexExamination SurveySerum nutrient levelsMulti-pollutant approachSociodemographic factorsHealth responseChronic diseasesSingle-pollutantDisease riskMass indexEpidemiological studiesNHANES studyRisk predictionMulti-pollutants
2013
Elevated Risk of Prostate Cancer Among Men With Lynch Syndrome
Raymond V, Mukherjee B, Wang F, Huang S, Stoffel E, Kastrinos F, Syngal S, Cooney K, Gruber S. Elevated Risk of Prostate Cancer Among Men With Lynch Syndrome. Journal Of Clinical Oncology 2013, 31: 1713-1718. PMID: 23530095, PMCID: PMC3641694, DOI: 10.1200/jco.2012.44.1238.Peer-Reviewed Original ResearchConceptsLynch syndromeCumulative lifetime riskRisk of prostate cancerAge-specific cumulative riskLifetime risk of prostate cancerFamilial cancer registryGeneral populationHazard ratioCumulative risk of prostate cancerModified segregation analysisProstate cancerFourth-degree relativesCumulative riskProstate cancer riskLS familiesCancer RegistryCancer riskLifetime riskCases of prostate cancerPopulation riskMismatch repair-deficient phenotypeWald-type CICancer diagnosisMutation carriersElevated risk
2012
A Bayesian Semiparametric Approach for Incorporating Longitudinal Information on Exposure History for Inference in Case–Control Studies
Bhadra D, Daniels M, Kim S, Ghosh M, Mukherjee B. A Bayesian Semiparametric Approach for Incorporating Longitudinal Information on Exposure History for Inference in Case–Control Studies. Biometrics 2012, 68: 361-370. PMID: 22313248, PMCID: PMC3935236, DOI: 10.1111/j.1541-0420.2011.01686.x.Peer-Reviewed Original ResearchConceptsBayesian semiparametric approachSemiparametric approachCase-control studyReversible jump Markov chain Monte Carlo algorithmMarkov chain Monte Carlo algorithmMeasures of cumulative exposureLongitudinal biomarker informationMonte Carlo algorithmClinically meaningful estimatesSmooth functionsCase-control study of prostate cancerWeighted integralsCumulative exposureInfluence functionJoint likelihoodLikelihood formulationExposure historyStudy of prostate cancerDisease risk modelsHierarchical Bayesian frameworkDisease statusBayesian frameworkCase-controlRisk modelCohort study
2010
Risk of colorectal cancer in self‐reported inflammatory bowel disease and modification of risk by statin and NSAID use
Samadder N, Mukherjee B, Huang S, Ahn J, Rennert H, Greenson J, Rennert G, Gruber S. Risk of colorectal cancer in self‐reported inflammatory bowel disease and modification of risk by statin and NSAID use. Cancer 2010, 117: 1640-1648. PMID: 21472711, PMCID: PMC3117060, DOI: 10.1002/cncr.25731.Peer-Reviewed Original ResearchConceptsRisk of colorectal cancerAssociated with reduced risk of colorectal cancerHistory of inflammatory bowel diseaseRisk of inflammatory bowel diseaseAssociated with reduced riskLong-term statin useColorectal cancerMolecular Epidemiology of Colorectal Cancer studyPersonal history of inflammatory bowel diseaseIncreased risk of CRCReduced risk of colorectal cancerRelative riskIBD-associated colorectal cancerIncident colorectal cancerNonsteroidal anti-inflammatory drugsUnconditional logistic regressionNonsteroidal anti-inflammatory drug useStatin useModification of riskReduced riskInflammatory bowel diseaseColorectal cancer studyIn-person interviewsNon-IBD colorectal cancersCase-control study
2009
Risk of Pancreatic Cancer in Families With Lynch Syndrome
Kastrinos F, Mukherjee B, Tayob N, Wang F, Sparr J, Raymond V, Bandipalliam P, Stoffel E, Gruber S, Syngal S. Risk of Pancreatic Cancer in Families With Lynch Syndrome. JAMA 2009, 302: 1790-1795. PMID: 19861671, PMCID: PMC4091624, DOI: 10.1001/jama.2009.1529.Peer-Reviewed Original ResearchMeSH KeywordsAdaptor Proteins, Signal TransducingAdultAgedAged, 80 and overColorectal Neoplasms, Hereditary NonpolyposisDNA Mismatch RepairDNA Mutational AnalysisDNA-Binding ProteinsFemaleGenotypeGerm-Line MutationHumansMaleMiddle AgedMutL Protein Homolog 1MutS Homolog 2 ProteinNuclear ProteinsPancreatic NeoplasmsPedigreePhenotypeProportional Hazards ModelsRegistriesRiskSEER ProgramYoung AdultConceptsRisk of pancreatic cancerMutations of DNA mismatch repairPancreatic cancer riskGermline MMR gene mutationsMMR gene mutationsCancer riskHazard ratio estimatesLynch syndromeInherited cause of colorectal cancerAge-specific cumulative riskCumulative riskCumulative risk of pancreatic cancerFamily history of pancreatic cancerHistory of pancreatic cancerFamilial cancer registryGeneral populationModified segregation analysisCause of colorectal cancerUniversity of Michigan Comprehensive Cancer CenterComprehensive cancer centerGene mutation carriersCases of pancreatic cancerStudy start dateDana-Farber Cancer InstituteExtracolonic tumors