2023
A framework for assessing interactions for risk stratification models: the example of ovarian cancer
Phung M, Lee A, McLean K, Anton-Culver H, Bandera E, Carney M, Chang-Claude J, Cramer D, Doherty J, Fortner R, Goodman M, Harris H, Jensen A, Modugno F, Moysich K, Pharoah P, Qin B, Terry K, Titus L, Webb P, Wu A, Zeinomar N, Ziogas A, Berchuck A, Cho K, Hanley G, Meza R, Mukherjee B, Pike M, Pearce C, Trabert B. A framework for assessing interactions for risk stratification models: the example of ovarian cancer. Journal Of The National Cancer Institute 2023, 115: 1420-1426. PMID: 37436712, PMCID: PMC10637032, DOI: 10.1093/jnci/djad137.Peer-Reviewed Original ResearchConceptsFamily history of ovarian cancerOvarian Cancer Association ConsortiumHistory of ovarian cancerFirst-degree family historyMenopausal statusRisk stratification modelCase-control studyRisk prediction modelOvarian cancerDisease riskAccurate risk stratification modelsStratification modelRisk/protective factorsDepot medroxyprogesterone acetate useProtective factorsFactor analysisRiskComprehensive analysis of interactionsCancerAcetate useUnequivocal riskStatusBreastfeedingAnalysis of interactionsPairwise interactions
2021
Per- and Polyfluoroalkyl Substances and Hormone Levels During the Menopausal Transition
Harlow S, Hood M, Ding N, Mukherjee B, Calafat A, Randolph J, Gold E, Park S. Per- and Polyfluoroalkyl Substances and Hormone Levels During the Menopausal Transition. The Journal Of Clinical Endocrinology & Metabolism 2021, 106: e4427-e4437. PMID: 34181018, PMCID: PMC8677593, DOI: 10.1210/clinem/dgab476.Peer-Reviewed Original ResearchConceptsMidlife womenSex hormone-binding globulinFollicle-stimulating hormoneInverse associationStudy of Women's HealthPositive associationMenopausal transitionBody mass indexReproductive ageWomen's HealthSignificant linear trendNo significant associationNulliparous womenLinear mixed modelsSmoking statusYears of ageMass indexHormone-binding globulinMenopausal statusLongitudinal serum concentrationsSignificant associationSerum PFAS concentrationsMidlifeWomenPolyfluoroalkyl substancesAssociations of perfluoroalkyl and polyfluoroalkyl substances (PFAS) and PFAS mixtures with adipokines in midlife women
Ding N, Karvonen-Gutierrez C, Herman W, Calafat A, Mukherjee B, Park S. Associations of perfluoroalkyl and polyfluoroalkyl substances (PFAS) and PFAS mixtures with adipokines in midlife women. International Journal Of Hygiene And Environmental Health 2021, 235: 113777. PMID: 34090141, PMCID: PMC8207532, DOI: 10.1016/j.ijheh.2021.113777.Peer-Reviewed Original ResearchConceptsBayesian kernel machine regressionNormal weightStudy of Women's HealthCirculating levels of leptinHMW adiponectinBayesian kernel machine regression analysisSoluble leptin receptorFree leptin indexSOB-R concentrationsBaseline serum samplesLevels of leptinMultivariate linear regressionPhysical activityAssociated with obesityStatistically significant associationWomen's HealthPolyfluoroalkyl substancesWaist circumferenceKernel machine regressionWomen's backgroundInfluence obesityMidlife womenSmoking statusSOB-RMenopausal status