2022
Incorporating local ancestry improves identification of ancestry-associated methylation signatures and meQTLs in African Americans
Li B, Aouizerat BE, Cheng Y, Anastos K, Justice AC, Zhao H, Xu K. Incorporating local ancestry improves identification of ancestry-associated methylation signatures and meQTLs in African Americans. Communications Biology 2022, 5: 401. PMID: 35488087, PMCID: PMC9054854, DOI: 10.1038/s42003-022-03353-5.Peer-Reviewed Original ResearchBlack or African AmericanBlack PeopleDNA MethylationHumansPolymorphism, Single NucleotideQuantitative Trait LociUnited States
2020
Genome-wide association study of smoking trajectory and meta-analysis of smoking status in 842,000 individuals
Xu K, Li B, McGinnis KA, Vickers-Smith R, Dao C, Sun N, Kember RL, Zhou H, Becker WC, Gelernter J, Kranzler HR, Zhao H, Justice AC. Genome-wide association study of smoking trajectory and meta-analysis of smoking status in 842,000 individuals. Nature Communications 2020, 11: 5302. PMID: 33082346, PMCID: PMC7598939, DOI: 10.1038/s41467-020-18489-3.Peer-Reviewed Original ResearchConceptsGenome-wide association studiesLarge genome-wide association studiesMillion Veteran ProgramAssociation studiesExpression quantitative trait lociQuantitative trait lociChromatin interactionsComplex traitsFunctional annotationTrait lociSequencing ConsortiumDozen genesSignificant lociSmoking phenotypesLociMultiple populationsNew insightsPhenotypeVeteran ProgramGenetic vulnerabilityGenesTraitsAnnotationEuropean AmericansConsortiumPatterns of COVID-19 testing and mortality by race and ethnicity among United States veterans: A nationwide cohort study
Rentsch CT, Kidwai-Khan F, Tate JP, Park LS, King JT, Skanderson M, Hauser RG, Schultze A, Jarvis CI, Holodniy M, Re V, Akgün KM, Crothers K, Taddei TH, Freiberg MS, Justice AC. Patterns of COVID-19 testing and mortality by race and ethnicity among United States veterans: A nationwide cohort study. PLOS Medicine 2020, 17: e1003379. PMID: 32960880, PMCID: PMC7508372, DOI: 10.1371/journal.pmed.1003379.Peer-Reviewed Original ResearchMeSH KeywordsAdultAgedAged, 80 and overBetacoronavirusBlack or African AmericanClinical Laboratory TechniquesCohort StudiesCoronavirus InfectionsCOVID-19COVID-19 TestingEthnicityFemaleHispanic or LatinoHumansMaleMiddle AgedPandemicsPneumonia, ViralRetrospective StudiesSARS-CoV-2United StatesVeteransWhite PeopleYoung AdultConceptsCOVID-19 testingRace/ethnicityCohort studyWhite individualsSevere acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infectionAcute respiratory syndrome coronavirus 2 infectionSyndrome coronavirus 2 infectionSARS-CoV-2 infectionCOVID-19Large integrated healthcare systemCoronavirus 2 infectionNationwide cohort studyRetrospective cohort studyCoronavirus disease 2019Site of careIntegrated healthcare systemNon-Hispanic blacksPositive test resultsNon-Hispanic whitesClinical characteristicsMultivariable adjustmentComorbid conditionsMedication historyEthnic minority communitiesDisease 2019
2019
Patterns and Correlates of Prescription Opioid Receipt Among US Veterans: A National, 18-Year Observational Cohort Study
Rentsch CT, Edelman EJ, Justice AC, Marshall BDL, Xu K, Smith AH, Crystal S, Gaither JR, Gordon AJ, Smith RV, Kember RL, Polimanti R, Gelernter J, Fiellin DA, Tate JP, Kranzler HR, Becker WC. Patterns and Correlates of Prescription Opioid Receipt Among US Veterans: A National, 18-Year Observational Cohort Study. AIDS And Behavior 2019, 23: 3340-3349. PMID: 31317364, PMCID: PMC7344341, DOI: 10.1007/s10461-019-02608-3.Peer-Reviewed Original ResearchConceptsOpioid use disorderOpioid receiptCohort studyLong-term opioid therapyVeterans Aging Cohort StudyLatent growth mixture modellingPrescription opioid receiptObservational cohort studyAging Cohort StudyOpioid therapyCause mortalityHepatitis COpioid prescriptionsFuture prevention researchOUD diagnosisGrowth mixture modellingUS veteransHigh prevalenceLow doseHigh incidenceUse disordersPrevention researchGenetic discoveriesReceiptHIV
2018
AUDIT‐C and ICD codes as phenotypes for harmful alcohol use: association with ADH1B polymorphisms in two US populations
Justice AC, Smith RV, Tate JP, McGinnis K, Xu K, Becker WC, Lee K, Lynch K, Sun N, Concato J, Fiellin DA, Zhao H, Gelernter J, Kranzler HR, Program O. AUDIT‐C and ICD codes as phenotypes for harmful alcohol use: association with ADH1B polymorphisms in two US populations. Addiction 2018, 113: 2214-2224. PMID: 29972609, PMCID: PMC6226338, DOI: 10.1111/add.14374.Peer-Reviewed Original ResearchRacial/ethnic differences in the association between alcohol use and mortality among men living with HIV
Bensley KM, McGinnis KA, Fiellin DA, Gordon AJ, Kraemer KL, Bryant KJ, Edelman EJ, Crystal S, Gaither JR, Korthuis PT, Marshall BDL, Ornelas IJ, Chan KCG, Dombrowski JC, Fortney JC, Justice AC, Williams EC. Racial/ethnic differences in the association between alcohol use and mortality among men living with HIV. Addiction Science & Clinical Practice 2018, 13: 2. PMID: 29353555, PMCID: PMC6389249, DOI: 10.1186/s13722-017-0103-z.Peer-Reviewed Original ResearchConceptsLow-risk alcohol useMortality riskAlcohol useRace/ethnicityWhite PLWHMortality rateAlcohol Use Disorders Identification Test-Consumption (AUDIT-C) questionnaireVeterans Aging Cohort StudyCox proportional hazards modelHigh-risk alcohol useAUDIT-C screeningAging Cohort StudyElectronic health record dataRisk of mortalityHigh-risk relativesUnhealthy alcohol useHigher mortality riskProportional hazards modelHealth record dataHigh mortality rateEthnic groupsMale PLWHCohort studyWhite patientsGeneral outpatients
2017
Mistrust and Endorsement of Human Immunodeficiency Virus Conspiracy Theories Among Human Immunodeficiency Virus–Infected African American Veterans
Mattocks KM, Gibert C, Fiellin D, Fiellin LE, Jamison A, Brown A, Justice AC. Mistrust and Endorsement of Human Immunodeficiency Virus Conspiracy Theories Among Human Immunodeficiency Virus–Infected African American Veterans. Military Medicine 2017, 182: e2073-e2079. PMID: 29087885, DOI: 10.7205/milmed-d-17-00078.Peer-Reviewed Original ResearchConceptsHuman immunodeficiency virusHIV conspiracy beliefsAfrican American veteransHealthcare providersHIV treatmentVeterans Health Administration (VHA) careAmerican veteransPoor health outcomesGovernment healthcare providersPhysician mistrustHIV careVHA hospitalsImmunodeficiency virusTreatment recommendationsMedical conditionsPotential cureHealth outcomesHIV conspiracy theoriesSemistructured interview formatVeterans' willingnessDisproportionate tollRacial disparitiesHealthcare systemVeterans' beliefsVeterans
2016
Minority Men Who Have Sex with Men Demonstrate Increased Risk for HIV Transmission
Gordon KS, Edelman EJ, Justice AC, Fiellin DA, Akgün K, Crystal S, Duggal M, Goulet JL, Rimland D, Bryant KJ. Minority Men Who Have Sex with Men Demonstrate Increased Risk for HIV Transmission. AIDS And Behavior 2016, 21: 1497-1510. PMID: 27771818, PMCID: PMC5380471, DOI: 10.1007/s10461-016-1590-8.Peer-Reviewed Original ResearchConceptsDetectable HIV-1 RNAHIV-1 RNAHIV transmissionOdds ratioMSM groupVeterans Aging Cohort StudyMinority MSMAging Cohort StudyMultiple sexual partnersMultiple sex partnersNon-condom useCohort studyInfluence of drugsComparator groupRisk factorsHispanic MSMWhite MSMLow prevalenceHigh incidenceSex partnersSexual partnersMSMSexMinority menGroup
2014
End-Stage Renal Disease Among HIV-Infected Adults in North America
Abraham A, Althoff K, Jing Y, Estrella M, Kitahata M, Wester C, Bosch R, Crane H, Eron J, Gill M, Horberg M, Justice A, Klein M, Mayor A, Moore R, Palella F, Parikh C, Silverberg M, Golub E, Jacobson L, Napravnik S, Lucas G, AIDS F, Kirk G, Benson C, Bosch R, Collier A, Boswell S, Grasso C, Mayer K, Hogg R, Harrigan R, Montaner J, Cescon A, Brooks J, Buchacz K, Gebo K, Moore R, Moore R, Carey J, Rodriguez B, Horberg M, Silverberg M, Thorne J, Goedert J, Jacobson L, Klein M, Rourke S, Burchell A, Rachlis A, Hunter-Mellado R, Mayor A, Gill M, Deeks S, Martin J, Saag M, Mugavero M, Willig J, Eron J, Napravnik S, Kitahata M, Crane H, Justice A, Dubrow R, Fiellin D, Sterling T, Haas D, Bebawy S, Turner M, Gange S, Anastos K, Moore R, Saag M, Gange S, Althoff K, Kitahata M, McKaig R, Justice A, Freeman A, Moore R, Freeman A, Lent C, Kitahata M, Van Rompaey S, Crane H, Webster E, Morton L, Simon B, Gange S, Althoff K, Abraham A, Lau B, Zhang J, Jing J, Golub E, Modur S, Hanna D, Rebeiro P, Wong C, Mendes A. End-Stage Renal Disease Among HIV-Infected Adults in North America. Clinical Infectious Diseases 2014, 60: 941-949. PMID: 25409471, PMCID: PMC4357817, DOI: 10.1093/cid/ciu919.Peer-Reviewed Original ResearchConceptsEnd-stage renal diseaseSex-standardized incidence ratiosRisk of ESRDDiabetes mellitusESRD casesBlack racePredictors of ESRDNorth American AIDS Cohort CollaborationHepatitis C virus coinfectionC virus coinfectionESRD risk factorsIncident ESRD casesHuman immunodeficiency virusHigh viral loadMajority of casesCohort CollaborationVirologic suppressionESRD incidencePrior AIDSRenal transplantViral suppressionInject drugsRenal diseaseVirus coinfectionBlack patients
2003
Understanding racial disparities in HIV using data from the veterans aging cohort 3-site study and VA administrative data.
McGinnis KA, Fine MJ, Sharma RK, Skanderson M, Wagner JH, Rodriguez-Barradas MC, Rabeneck L, Justice AC. Understanding racial disparities in HIV using data from the veterans aging cohort 3-site study and VA administrative data. American Journal Of Public Health 2003, 93: 1728-33. PMID: 14534229, PMCID: PMC1448041, DOI: 10.2105/ajph.93.10.1728.Peer-Reviewed Original ResearchMeSH KeywordsAdultAgedAntiretroviral Therapy, Highly ActiveBlack or African AmericanCohort StudiesDisease ManagementFemaleHispanic or LatinoHIV SeropositivityHumansMaleMiddle AgedPatient Acceptance of Health CarePatient ComplianceProportional Hazards ModelsSocioeconomic FactorsSurvival AnalysisUnited StatesUnited States Department of Veterans AffairsVeteransWhite PeopleConceptsWhite veteransClinical managementMinority veteransHealth statusVeterans Aging CohortSeverity of illnessVA administrative dataRace-associated differencesHigh mortality ratePatients' health statusNational administrative dataAdministrative dataPossible etiologiesUS veteransPoor survivalMortality rateAging CohortHIVPoor healthRacial disparitiesVeteransSignificant differencesSurvivalCohortAdherence