2024
Multi-omic network analysis identifies dysregulated neurobiological pathways in opioid addiction
Sullivan K, Kainer D, Lane M, Cashman M, Miller J, Garvin M, Townsend A, Quach B, Willis C, Kruse P, Gaddis N, Mathur R, Corradin O, Maher B, Scacheri P, Sanchez-Roige S, Palmer A, Troiani V, Chesler E, Kember R, Kranzler H, Justice A, Xu K, Aouizerat B, Hancock D, Johnson E, Jacobson D, Program V. Multi-omic network analysis identifies dysregulated neurobiological pathways in opioid addiction. Biological Psychiatry 2024 PMID: 39615775, DOI: 10.1016/j.biopsych.2024.11.013.Peer-Reviewed Original ResearchGenome-wide association studiesSubstance use disordersOpioid use disorderAddiction treatmentOpioid addictionDorsolateral prefrontal cortexOpioid addiction treatmentMulti-omics network analysisPrefrontal cortexPrescription opioid misuseSystems biology approachNeurobiological pathwaysOpioid overdose victimsUse disorderOverdose victimsAddictionAssociation studiesEpigenetic dataOpioid misuseOpioidDlPFCERK pathwayBiology approachMulti-omicsGene targetingAuthor Correction: A multi-ancestry genetic study of pain intensity in 598,339 veterans
Toikumo S, Vickers-Smith R, Jinwala Z, Xu H, Saini D, Hartwell E, Pavicic M, Sullivan K, Xu K, Jacobson D, Gelernter J, Rentsch C, Stahl E, Cheatle M, Zhou H, Waxman S, Justice A, Kember R, Kranzler H. Author Correction: A multi-ancestry genetic study of pain intensity in 598,339 veterans. Nature Medicine 2024, 30: 2088-2088. PMID: 38714900, DOI: 10.1038/s41591-024-03024-4.Peer-Reviewed Original ResearchDNA methylation‐based telomere length is associated with HIV infection, physical frailty, cancer, and all‐cause mortality
Liang X, Aouizerat B, So‐Armah K, Cohen M, Marconi V, Xu K, Justice A. DNA methylation‐based telomere length is associated with HIV infection, physical frailty, cancer, and all‐cause mortality. Aging Cell 2024, 23: e14174. PMID: 38629454, PMCID: PMC11258465, DOI: 10.1111/acel.14174.Peer-Reviewed Original ResearchCancer prevalenceAll-cause mortalityVeterans Aging Cohort Study Biomarker CohortMortality riskPhysiological frailtyVACS IndexIncreased risk of all-cause mortalityRisk of all-cause mortalityCancer registry dataHigher cancer prevalenceHIV infectionElectronic medical recordsSelf-reported raceCoronary heart diseaseAssociated with HIV infectionIndicator of cellular agingPhysical frailtyRegistry dataSmoking statusWomen's Interagency HIV Study cohortAlcohol consumptionShorter TLTelomere lengthMedical recordsPeripheral blood mononuclear cellsImpact of Decarceration Plus Alcohol, Substance Use, and Mental Health Screening on Life Expectancies of Black Sexual Minority Men and Black Transgender Women Living With HIV in the United States: A Simulation Study Based on HPTN 061
Feelemyer J, Bershteyn A, Scheidell J, Brewer R, Dyer T, Cleland C, Hucks-Ortiz C, Justice A, Mayer K, Grawert A, Kaufman J, Braithwaite S, Khan M. Impact of Decarceration Plus Alcohol, Substance Use, and Mental Health Screening on Life Expectancies of Black Sexual Minority Men and Black Transgender Women Living With HIV in the United States: A Simulation Study Based on HPTN 061. JAIDS Journal Of Acquired Immune Deficiency Syndromes 2024, 95: 283-290. PMID: 38032748, PMCID: PMC10922416, DOI: 10.1097/qai.0000000000003354.Peer-Reviewed Original ResearchConceptsLower life expectancyBlack sexual minority menBlack transgender womenReduce incarcerationSubstance useTransgender WomenIncreased LEVeterans Aging Cohort StudyPsychiatric conditionsMental health screeningLinkage to treatmentDisproportionate rates of incarcerationLife expectancyAging Cohort StudyRates of incarcerationHistory of incarcerationSexual minority menImplementing screeningHealth screeningSubstance use disordersTreatment of psychiatric conditionsPositive screenImprove screeningCohort studyDisproportionate ratesA multi-ancestry genetic study of pain intensity in 598,339 veterans
Toikumo S, Vickers-Smith R, Jinwala Z, Xu H, Saini D, Hartwell E, Pavicic M, Sullivan K, Xu K, Jacobson D, Gelernter J, Rentsch C, Stahl E, Cheatle M, Zhou H, Waxman S, Justice A, Kember R, Kranzler H. A multi-ancestry genetic study of pain intensity in 598,339 veterans. Nature Medicine 2024, 30: 1075-1084. PMID: 38429522, DOI: 10.1038/s41591-024-02839-5.Peer-Reviewed Original ResearchPain intensityChronic painTreat chronic painCalcium channel blockersCross-ancestry meta-analysisGenome-wide association studiesExperience of painSamples of European ancestryPain phenotypesFunctional genomics dataGABAergic neuronsCalcium channelsAnalgesic effectB-blockersDrug groupMillion Veteran ProgramPainSubstance use disordersQuality of lifeDrug repurposing analysisOpioid crisisGenetic architectureCausal genesGenetic lociGenomic dataHypertension Control During the Coronavirus Disease 2019 Pandemic
Korves C, Peixoto A, Lucas B, Davies L, Weinberger D, Rentsch C, Vashi A, Young-Xu Y, King J, Asch S, Justice A. Hypertension Control During the Coronavirus Disease 2019 Pandemic. Medical Care 2024, 62: 196-204. PMID: 38284412, PMCID: PMC10922611, DOI: 10.1097/mlr.0000000000001971.Peer-Reviewed Original ResearchConceptsHypertension controlFollow-up intervalPrimary care clinic visitsFollow-up lengthVeterans Health AdministrationControlled hypertensionUncontrolled hypertensionGeneralized estimating equationsCohort of individualsStudy inclusion criteriaHealth careHealth AdministrationLonger follow-up intervalsBlood pressure measurementsAssessed associationsClinic visitsInclusion criteriaDecreased likelihoodEstimating equationsPrepandemic periodLow likelihoodCoronavirus diseaseFollow-upHypertensionIndividualsThe forecasted prevalence of comorbidities and multimorbidity in people with HIV in the United States through the year 2030: A modeling study.
Althoff K, Stewart C, Humes E, Gerace L, Boyd C, Gebo K, Justice A, Hyle E, Coburn S, Lang R, Silverberg M, Horberg M, Lima V, Gill M, Karris M, Rebeiro P, Thorne J, Rich A, Crane H, Kitahata M, Rubtsova A, Wong C, Leng S, Marconi V, D'Souza G, Kim H, Napravnik S, McGinnis K, Kirk G, Sterling T, Moore R, Kasaie P. The forecasted prevalence of comorbidities and multimorbidity in people with HIV in the United States through the year 2030: A modeling study. PLOS Medicine 2024, 21: e1004325. PMID: 38215160, PMCID: PMC10833859, DOI: 10.1371/journal.pmed.1004325.Peer-Reviewed Original ResearchConceptsHistory of injection drug useInjection drug useHealthcare needsPrevalence of comorbiditiesHIV diagnosisNorth American AIDS Cohort CollaborationDrug useAntiretroviral therapyHIV surveillance dataGuideline-recommended careNon-Hispanic whitesPrevalence of anxietyChronic kidney diseaseMyocardial infarctionPrevalence of cancerEnd-stage liver diseaseResearch and DesignMultimorbidity prevalenceRisk of comorbiditiesUnited StatesBlack MSMNon-HispanicSubspecialty careClinical capacityHIV cliniciansAdaption and National Validation of a Tool for Predicting Mortality from Other Causes Among Men with Nonmetastatic Prostate Cancer
Justice A, Tate J, Howland F, Gaziano J, Kelley M, McMahon B, Haiman C, Wadia R, Madduri R, Danciu I, Leppert J, Leapman M, Thurtle D, Gnanapragasam V. Adaption and National Validation of a Tool for Predicting Mortality from Other Causes Among Men with Nonmetastatic Prostate Cancer. European Urology Oncology 2024, 7: 923-932. PMID: 38171965, DOI: 10.1016/j.euo.2023.11.023.Peer-Reviewed Original ResearchVeterans Health AdministrationCharlson Comorbidity IndexNon-prostate cancer mortalityProstate cancer mortalityNonmetastatic prostate cancerComorbidity indexCancer mortalityProvider estimationProstate cancerHealth AdministrationUS Veterans Health AdministrationElectronic health record-based toolsYear of diagnosisRisk of deathObservational cohortMedian ageNonmetastatic cancerPredicting MortalityC-statisticHispanic ethnicityTreatment groupsMortalityCancerNational validationAge
2023
9. THE GENETIC ARCHITECTURE OF PAIN INTENSITY IN THE MILLION VETERAN PROGRAM
Toikumo S, Vickers-Smith R, Jinwala Z, Xu H, Saini D, Hartwell E, Pavicic M, Sullivan K, Jacobson D, Cheatle M, Zhou H, Waxman S, Justice A, Kember R, Kranzler H. 9. THE GENETIC ARCHITECTURE OF PAIN INTENSITY IN THE MILLION VETERAN PROGRAM. European Neuropsychopharmacology 2023, 75: s60-s61. DOI: 10.1016/j.euroneuro.2023.08.120.Peer-Reviewed Original ResearchIndependent lociGenetic architectureMillion Veteran ProgramGenome-wide association testingIndependent genetic lociLinkage disequilibrium score regressionDrug-gene interaction databaseDisequilibrium score regressionNovel genetic variantsPotential drug targetsComplex traitsGWAS resultsCausal genesDruggable genomeDrug repurposing analysisGenetic lociDruggable genesInteraction databasesDrug targetsGenetic correlationsMolecular contributorsAssociation testingLociPsychiatric traitsScore regressionMULTI-ANCESTRY META-ANALYSIS OF TOBACCO USE DISORDERS PRIORITIZES NOVEL CANDIDATE RISK GENES AND REVEALS ASSOCIATIONS WITH NUMEROUS HEALTH OUTCOMES
Sanchez-Roige S, Toikumo S, Jennings M, Pham B, Lee H, Mallard T, Bianchi S, Meredith J, Smoller J, Davis L, Justice A, Kranzler H, Kember R, Sanchez-Roige S. MULTI-ANCESTRY META-ANALYSIS OF TOBACCO USE DISORDERS PRIORITIZES NOVEL CANDIDATE RISK GENES AND REVEALS ASSOCIATIONS WITH NUMEROUS HEALTH OUTCOMES. European Neuropsychopharmacology 2023, 75: s8-s9. DOI: 10.1016/j.euroneuro.2023.08.024.Peer-Reviewed Original ResearchTobacco use disorderUse disordersPrevalent substance use disordersSubstance use disordersRisk genesNumerous health outcomesHIV infectionHeart diseaseSmoking behaviorMedical outcomesGenome-wide association studiesNicotine consumptionHealth outcomesCandidate risk genesPotential risk genesGenetic factorsIndependent risk lociDisordersRisk variantsNovel candidate risk genesRisk lociOutcomesMajority of variantsFunctional genomics toolsPsychiatric traitsPerspectives on contingency management for alcohol use and alcohol‐associated conditions among people in care with HIV
Cohen S, DePhilippis D, Deng Y, Dziura J, Ferguson T, Fucito L, Justice A, Maisto S, Marconi V, Molina P, Paris M, Rodriguez‐Barradas M, Simberkoff M, Petry N, Fiellin D, Edelman E. Perspectives on contingency management for alcohol use and alcohol‐associated conditions among people in care with HIV. Alcohol Clinical And Experimental Research 2023, 47: 1783-1797. PMID: 37524371, PMCID: PMC10828101, DOI: 10.1111/acer.15159.Peer-Reviewed Original ResearchUnhealthy alcohol useAlcohol useContingency managementPrimary care settingSubset of participantsReward structureEvidence-based approachHIV clinicImplementation science frameworkTreatment trialsClinical trialsIntervention feasibilityCare settingsPromoting ActionAlcohol consumptionRelated conditionsBiochemical testingClinical contextHIVReward schedulePatientsReward processesInterventionTrialsBehavior changeDo Polygenic Risk Scores Add to Clinical Data in Predicting Pancreatic Cancer? A Scoping Review.
Wang L, Grimshaw A, Mezzacappa C, Rahimi Larki N, Yang Y, Justice A. Do Polygenic Risk Scores Add to Clinical Data in Predicting Pancreatic Cancer? A Scoping Review. Cancer Epidemiology Biomarkers & Prevention 2023, 32: 1490-1497. PMID: 37610426, PMCID: PMC10873036, DOI: 10.1158/1055-9965.epi-23-0468.Peer-Reviewed Original ResearchConceptsRoutine risk factorsPancreatic cancerRisk factorsPolygenic risk scoresClinical dataRisk scoreAddition of PRSClinical risk factorsRoutine clinical dataCancer risk predictionDatabase inceptionCancerClinical applicabilityRelevant exposuresGenetic riskRisk predictionCancer-specific polygenic risk scoresScoping ReviewRiskEuropean ancestryPopulation representativeScoresMost studiesAppropriate controlsFactorsEffect of image resolution on automated classification of chest X-rays
Haque I, Dubey A, Danciu I, Justice A, Ovchinnikova O, Hinkle J. Effect of image resolution on automated classification of chest X-rays. Journal Of Medical Imaging 2023, 10: 044503-044503. PMID: 37547812, PMCID: PMC10403240, DOI: 10.1117/1.jmi.10.4.044503.Peer-Reviewed Original ResearchGenetic Underpinnings of the Transition From Alcohol Consumption to Alcohol Use Disorder: Shared and Unique Genetic Architectures in a Cross-Ancestry Sample
Kember R, Vickers-Smith R, Zhou H, Xu H, Jennings M, Dao C, Davis L, Sanchez-Roige S, Justice A, Gelernter J, Vujkovic M, Kranzler H. Genetic Underpinnings of the Transition From Alcohol Consumption to Alcohol Use Disorder: Shared and Unique Genetic Architectures in a Cross-Ancestry Sample. American Journal Of Psychiatry 2023, 180: 584-593. PMID: 37282553, PMCID: PMC10731616, DOI: 10.1176/appi.ajp.21090892.Peer-Reviewed Original ResearchConverging Evidence from Rodent and Human Studies on the Role of Spironolactone as a Potential Pharmacotherapy for Alcohol Use Disorder
Farokhnia M, Rentsch C, Chuong V, McGinn M, Elvig S, Douglass E, Gonzalez L, Sanfilippo J, Marchette R, Tunstall B, Fiellin D, Koob G, Justice A, Leggio L, Vendruscolo L. Converging Evidence from Rodent and Human Studies on the Role of Spironolactone as a Potential Pharmacotherapy for Alcohol Use Disorder. Alcohol 2023, 109: 83-84. DOI: 10.1016/j.alcohol.2023.03.071.Peer-Reviewed Original ResearchAssociation of HIV Infection and Incident Abdominal Aortic Aneurysm Among 143 001 Veterans
Filipkowski A, Kundu S, Eden S, Alcorn C, Justice A, So-Armah K, Tindle H, Wells Q, Beckman J, Freiberg M, Aday A. Association of HIV Infection and Incident Abdominal Aortic Aneurysm Among 143 001 Veterans. Circulation 2023, 148: 135-143. PMID: 37226738, PMCID: PMC10443901, DOI: 10.1161/circulationaha.122.063040.Peer-Reviewed Original ResearchConceptsIncident abdominal aortic aneurysmT-cell countsHIV viral loadAbdominal aortic aneurysmRisk of AAAHIV infectionViral loadAortic aneurysmElevated HIV viral loadCardiovascular disease risk factorsVeterans Aging Cohort StudyCox proportional hazards modelCurrent Procedural Terminology codesAging Cohort StudyDisease risk factorsProportional hazards modelProcedural Terminology codesPrevious cross-sectional dataAAA eventsLow CD4Cohort studyHIV statusRisk factorsLongitudinal cohortCardiovascular diseaseIdentifying genetic loci and phenomic associations of substance use traits: A multi‐trait analysis of GWAS (MTAG) study
Xu H, Toikumo S, Crist R, Glogowska K, Jinwala Z, Deak J, Justice A, Gelernter J, Johnson E, Kranzler H, Kember R. Identifying genetic loci and phenomic associations of substance use traits: A multi‐trait analysis of GWAS (MTAG) study. Addiction 2023, 118: 1942-1952. PMID: 37156939, PMCID: PMC10754226, DOI: 10.1111/add.16229.Peer-Reviewed Original ResearchConceptsGenome-wide association studiesSignificant single nucleotide polymorphismsSubstance use traitsMulti-trait analysisAssociation studiesGenetic architectureUse traitsGenome-wide significant single nucleotide polymorphismsProtein-protein interaction analysisTrait genetic architectureNumber of lociPolygenic risk scoresEuropean ancestry individualsNovel lociSingle nucleotide polymorphismsGenetic lociGWAS studiesLociMultiple related phenotypesNucleotide polymorphismsRelated phenotypesTraitsNovel associationsMTAgBiobank samplesMulti-trait genome-wide association analyses leveraging alcohol use disorder findings identify novel loci for smoking behaviors in the Million Veteran Program
Cheng Y, Dao C, Zhou H, Li B, Kember R, Toikumo S, Zhao H, Gelernter J, Kranzler H, Justice A, Xu K. Multi-trait genome-wide association analyses leveraging alcohol use disorder findings identify novel loci for smoking behaviors in the Million Veteran Program. Translational Psychiatry 2023, 13: 148. PMID: 37147289, PMCID: PMC10162964, DOI: 10.1038/s41398-023-02409-2.Peer-Reviewed Original ResearchConceptsSingle-trait genome-wide association studiesGenome-wide association studiesNovel lociPower of GWASJoint genome-wide association studyGenome-wide significant lociMillion Veteran ProgramGenome-wide associationSubstance use traitsGWAS summary statisticsNovel genetic variantsMulti-trait analysisFunctional annotationUse traitsSignificant lociHeritable traitMultiple lociAssociation studiesColocalization analysisLociPleiotropic effectsMTAgVeteran ProgramGenetic variantsTraitsRacial and Ethnic Bias in the Diagnosis of Alcohol Use Disorder in Veterans
Vickers-Smith R, Justice A, Becker W, Rentsch C, Curtis B, Fernander A, Hartwell E, Ighodaro E, Kember R, Tate J, Kranzler H. Racial and Ethnic Bias in the Diagnosis of Alcohol Use Disorder in Veterans. American Journal Of Psychiatry 2023, 180: 426-436. PMID: 37132202, PMCID: PMC10238581, DOI: 10.1176/appi.ajp.21111097.Peer-Reviewed Original ResearchConceptsAlcohol use disorderAlcohol consumptionAUD diagnosisHispanic veteransWhite veteransUse disordersPrevalence of AUDAlcohol Use Disorders Identification TestUnhealthy alcohol useICD-10 codesAUDIT-C scoresSelf-reported alcohol consumptionAlcohol-related disordersDiagnosis of AUDDisorders Identification TestMaximum scoreSelf-reported raceElectronic health recordsPrimary outcomeAlcohol consumption levelsPotential confoundersHigh prevalenceMillion Veteran ProgramGreater oddsICD-9Receipt of Smoking Cessation Medications Among People With and Without Human Immunodeficiency Virus in the Veterans Aging Cohort Study (2003–2018)
Shahrir S, Crothers K, McGinnis K, Chan K, Baeten J, Wilson S, Butt A, Pisani M, Baldassarri S, Justice A, Williams E. Receipt of Smoking Cessation Medications Among People With and Without Human Immunodeficiency Virus in the Veterans Aging Cohort Study (2003–2018). Open Forum Infectious Diseases 2023, 10: ofad089. PMID: 36968969, PMCID: PMC10034589, DOI: 10.1093/ofid/ofad089.Peer-Reviewed Original ResearchVeterans Aging Cohort StudyAging Cohort StudyHuman immunodeficiency virusCessation medicationsCohort studyCurrent smokersCurrent smokingHIV statusImmunodeficiency virusRelative riskHuman immunodeficiency virus statusSmoking cessation medicationsNicotine replacement therapyRates of receiptDangers of smokingOutpatient prescriptionsReplacement therapyPharmacy dataVirus statusTobacco useAnnual rateMedicationsSmokingPWHStatistical difference