2019
Longitudinal trends in perfluoroalkyl and polyfluoroalkyl substances among multiethnic midlife women from 1999 to 2011: The Study of Women′s Health Across the Nation
Ding N, Harlow S, Batterman S, Mukherjee B, Park S. Longitudinal trends in perfluoroalkyl and polyfluoroalkyl substances among multiethnic midlife women from 1999 to 2011: The Study of Women′s Health Across the Nation. Environment International 2019, 135: 105381. PMID: 31841808, PMCID: PMC7374929, DOI: 10.1016/j.envint.2019.105381.Peer-Reviewed Original ResearchConceptsMidlife womenWomen's HealthBlack womenStudy of Women's HealthChinese womenLongitudinal trendsTemporal trendsBody mass indexSerum concentrationsLinear mixed modelsParous womenFollow-up visitPFAS homologuesPFNA concentrationsRace/ethnicityMass indexSerum PFAS concentrationsMidlifePatterns of exposurePolyfluoroalkyl substances concentrationsLongitudinal declineWomenAssociated with lower concentrationsHealthMixed modelsDeterminants of per- and polyfluoroalkyl substances (PFAS) in midlife women: Evidence of racial/ethnic and geographic differences in PFAS exposure
Park S, Peng Q, Ding N, Mukherjee B, Harlow S. Determinants of per- and polyfluoroalkyl substances (PFAS) in midlife women: Evidence of racial/ethnic and geographic differences in PFAS exposure. Environmental Research 2019, 175: 186-199. PMID: 31129528, PMCID: PMC6579633, DOI: 10.1016/j.envres.2019.05.028.Peer-Reviewed Original ResearchConceptsWhite womenIntake of salty snacksStudy of Women's HealthPoly-fluoroalkyl substancesPerfluorooctane sulfonic acidDeterminants of PFAS concentrationsDeterminants of PFAS exposurePFAS exposureConcentrations of PFASsSalty snacksWomen's HealthPublic health concernPre-specified variablesLinear perfluorooctanoic acidPerfluorooctanoic acidExposure backgroundMidlife womenHigher intakePerfluorononanoic acidLow PFAS concentrationsPFNA concentrationsBlack womenRace/ethnicityHigher concentrationsPFAS concentrationsUrinary metals and metal mixtures in midlife women: The Study of Women's Health Across the Nation (SWAN)
Wang X, Mukherjee B, Batterman S, Harlow S, Park S. Urinary metals and metal mixtures in midlife women: The Study of Women's Health Across the Nation (SWAN). International Journal Of Hygiene And Environmental Health 2019, 222: 778-789. PMID: 31103473, PMCID: PMC6583796, DOI: 10.1016/j.ijheh.2019.05.002.Peer-Reviewed Original ResearchConceptsMultiple metalsMetal mixturesExposure to multiple metalsExposure patternsConcentrations of metalsExposure to metalsConsumption of seafoodHigh-resolution inductively coupled plasma mass spectrometryInductively coupled plasma mass spectrometryMeasured urinary concentrationsGeometric mean concentrationsMetal exposurePlasma mass spectrometrySeafood intakeUrinary metalsMean concentrationsRice intakeSeafoodUrinary concentrationsDetectable concentrationHigher exposuresGeographical characteristicsMercuryLead levelsMetalExpression of socially sensitive genes: The multi-ethnic study of atherosclerosis
Brown K, Diez-Roux A, Smith J, Needham B, Mukherjee B, Ware E, Liu Y, Cole S, Seeman T, Kardia S. Expression of socially sensitive genes: The multi-ethnic study of atherosclerosis. PLOS ONE 2019, 14: e0214061. PMID: 30973896, PMCID: PMC6459532, DOI: 10.1371/journal.pone.0214061.Peer-Reviewed Original ResearchConceptsGene expressionSocial factorsAdult socioeconomic statusPopulation-based cohortMulti-Ethnic StudyMarginal significant associationPercentage of genesInfluence gene expressionLinear regressionExpression of genesLifetime discriminationSocioeconomic statusChronic burdenOverall healthInvestigate associationsGene approachGene setsLinear regression analysisSignificant associationGenesExpression patternsMultiple testingSensitive to social factorsCell typesRegression analysis
2018
Novel Common Genetic Susceptibility Loci for Colorectal Cancer
Schmit SL, Edlund CK, Schumacher FR, Gong J, Harrison TA, Huyghe JR, Qu C, Melas M, Van Den Berg DJ, Wang H, Tring S, Plummer SJ, Albanes D, Alonso MH, Amos CI, Anton K, Aragaki AK, Arndt V, Barry EL, Berndt SI, Bezieau S, Bien S, Bloomer A, Boehm J, Boutron-Ruault MC, Brenner H, Brezina S, Buchanan DD, Butterbach K, Caan BJ, Campbell PT, Carlson CS, Castelao JE, Chan AT, Chang-Claude J, Chanock SJ, Cheng I, Cheng YW, Chin LS, Church JM, Church T, Coetzee GA, Cotterchio M, Correa M, Curtis KR, Duggan D, Easton DF, English D, Feskens EJM, Fischer R, FitzGerald LM, Fortini BK, Fritsche LG, Fuchs CS, Gago-Dominguez M, Gala M, Gallinger SJ, Gauderman WJ, Giles GG, Giovannucci EL, Gogarten SM, Gonzalez-Villalpando C, Gonzalez-Villalpando EM, Grady WM, Greenson JK, Gsur A, Gunter M, Haiman CA, Hampe J, Harlid S, Harju JF, Hayes RB, Hofer P, Hoffmeister M, Hopper JL, Huang SC, Huerta JM, Hudson TJ, Hunter DJ, Idos GE, Iwasaki M, Jackson RD, Jacobs EJ, Jee SH, Jenkins MA, Jia WH, Jiao S, Joshi AD, Kolonel LN, Kono S, Kooperberg C, Krogh V, Kuehn T, Küry S, LaCroix A, Laurie CA, Lejbkowicz F, Lemire M, Lenz HJ, Levine D, Li CI, Li L, Lieb W, Lin Y, Lindor NM, Liu YR, Loupakis F, Lu Y, Luh F, Ma J, Mancao C, Manion FJ, Markowitz SD, Martin V, Matsuda K, Matsuo K, McDonnell KJ, McNeil CE, Milne R, Molina AJ, Mukherjee B, Murphy N, Newcomb PA, Offit K, Omichessan H, Palli D, Cotoré JPP, Pérez-Mayoral J, Pharoah PD, Potter JD, Qu C, Raskin L, Rennert G, Rennert HS, Riggs BM, Schafmayer C, Schoen RE, Sellers TA, Seminara D, Severi G, Shi W, Shibata D, Shu XO, Siegel EM, Slattery ML, Southey M, Stadler ZK, Stern MC, Stintzing S, Taverna D, Thibodeau SN, Thomas DC, Trichopoulou A, Tsugane S, Ulrich CM, van Duijnhoven FJB, van Guelpan B, Vijai J, Virtamo J, Weinstein SJ, White E, Win AK, Wolk A, Woods M, Wu AH, Wu K, Xiang YB, Yen Y, Zanke BW, Zeng YX, Zhang B, Zubair N, Kweon SS, Figueiredo JC, Zheng W, Le Marchand L, Lindblom A, Moreno V, Peters U, Casey G, Hsu L, Conti DV, Gruber SB. Novel Common Genetic Susceptibility Loci for Colorectal Cancer. Journal Of The National Cancer Institute 2018, 111: 146-157. PMID: 29917119, PMCID: PMC6555904, DOI: 10.1093/jnci/djy099.Peer-Reviewed Original Research
2017
Rare‐variant association tests in longitudinal studies, with an application to the Multi‐Ethnic Study of Atherosclerosis (MESA)
He Z, Lee S, Zhang M, Smith J, Guo X, Palmas W, Kardia S, Ionita‐Laza I, Mukherjee B. Rare‐variant association tests in longitudinal studies, with an application to the Multi‐Ethnic Study of Atherosclerosis (MESA). Genetic Epidemiology 2017, 41: 801-810. PMID: 29076270, PMCID: PMC5696115, DOI: 10.1002/gepi.22081.Peer-Reviewed Original ResearchConceptsMulti-Ethnic Study of AtherosclerosisMulti-Ethnic StudyStudy of AtherosclerosisType I error rateRare-variant association testsRare variantsGene-based association testsRare-variant associationsAssociation TestLongitudinal outcomesLongitudinal studyExome sequencing dataMeasurement of blood pressureGenomic regionsSequence dataTrait heritabilitySequencing studiesMeasured outcomesGenetic variantsVariant analysisModerate sample sizesIndividual variantsRobust to misspecificationWithin-subject correlationStatistical power
2015
Comparative genome-wide association studies of a depressive symptom phenotype in a repeated measures setting by race/ethnicity in the multi-ethnic study of atherosclerosis
Ware E, Mukherjee B, Sun Y, Diez-Roux A, Kardia S, Smith J. Comparative genome-wide association studies of a depressive symptom phenotype in a repeated measures setting by race/ethnicity in the multi-ethnic study of atherosclerosis. BMC Genomic Data 2015, 16: 118. PMID: 26459564, PMCID: PMC4603946, DOI: 10.1186/s12863-015-0274-0.Peer-Reviewed Original ResearchConceptsMulti-Ethnic StudyGenome-wide association studiesStudies of depressive symptomsMulti-Ethnic Study of AtherosclerosisDepressive symptomsStudy of AtherosclerosisGenome-wide suggestive levelMeasures analysisSingle-nucleotide polymorphismsMultiple ethnicitiesBaseline measurementsMeta-analysisEuropean AmericansLongitudinal measurementsGenome-wide analysisLongitudinal frameworkSuggestive levelAssociation studiesMethodsThis studyEthnicityGenetic predictorsP-valueMood disordersHealthNovel variantsApplying Novel Methods for Assessing Individual- and Neighborhood-Level Social and Psychosocial Environment Interactions with Genetic Factors in the Prediction of Depressive Symptoms in the Multi-Ethnic Study of Atherosclerosis
Ware E, Smith J, Mukherjee B, Lee S, Kardia S, Diez-Roux A. Applying Novel Methods for Assessing Individual- and Neighborhood-Level Social and Psychosocial Environment Interactions with Genetic Factors in the Prediction of Depressive Symptoms in the Multi-Ethnic Study of Atherosclerosis. Behavior Genetics 2015, 46: 89-99. PMID: 26254610, PMCID: PMC4720563, DOI: 10.1007/s10519-015-9734-6.Peer-Reviewed Original ResearchConceptsDepressive symptom scoresMulti-Ethnic Study of AtherosclerosisGene regionNeighborhood levelMulti-Ethnic StudyPredictive of depressive symptomsStudy of AtherosclerosisMultiple race/ethnicitiesMultiple testing correctionAssess individual-SKAT analysisNeighborhood factorsEtiology of depressive illnessDepressive symptomsPsychosocial stressorsSymptom scoresComplex illnessTesting correctionRace/ethnicityRace/ethnicitiesEthnic groupsDepressive illnessGenetic predispositionIndividual-Genetic factors
2014
Testing departure from additivity in Tukey's model using shrinkage: application to a longitudinal setting
Ko Y, Mukherjee B, Smith J, Park S, Kardia S, Allison M, Vokonas P, Chen J, Diez‐Roux A. Testing departure from additivity in Tukey's model using shrinkage: application to a longitudinal setting. Statistics In Medicine 2014, 33: 5177-5191. PMID: 25112650, PMCID: PMC4227925, DOI: 10.1002/sim.6281.Peer-Reviewed Original ResearchMeSH KeywordsAgedAged, 80 and overAgingAtherosclerosisBone and BonesComputer SimulationEnvironmental ExposureEthnicityFemaleGene-Environment InteractionHumansIronLeadLeast-Squares AnalysisLikelihood FunctionsLongitudinal StudiesMaleMiddle AgedModels, GeneticUnited StatesUnited States Department of Veterans AffairsConceptsGene-environment interactionsMulti-Ethnic Study of AtherosclerosisModel of gene-environment interactionMulti-Ethnic StudyTukey's modelLongitudinal settingStudy of AtherosclerosisNormative Aging StudyCase-control studyIncreasing categoriesAging StudyTested interactionsLongitudinal studyCategorical variablesRobust to misspecificationInteraction termsTest departuresShrinkage estimatorsWald testInteraction estimatesIncreased powerOne-degree-of-freedom modelInteraction effectsSetsEnvironmental markers