Featured Publications
Genetics of substance use disorders in the era of big data
Gelernter J, Polimanti R. Genetics of substance use disorders in the era of big data. Nature Reviews Genetics 2021, 22: 712-729. PMID: 34211176, PMCID: PMC9210391, DOI: 10.1038/s41576-021-00377-1.Peer-Reviewed Original ResearchAlcoholismAnimalsBrainEpigenomicsGenome-Wide Association StudyHumansIllicit DrugsNicotineSubstance-Related Disorders
2024
Association patterns of antisocial personality disorder across substance use disorders
Low A, Stiltner B, Nunez Y, Adhikari K, Deak J, Pietrzak R, Kranzler H, Gelernter J, Polimanti R. Association patterns of antisocial personality disorder across substance use disorders. Translational Psychiatry 2024, 14: 346. PMID: 39198385, PMCID: PMC11358160, DOI: 10.1038/s41398-024-03054-z.Peer-Reviewed Original ResearchConceptsAntisocial personality disorderSubstance use disordersPersonality disorderUse disorderAssociation of antisocial personality disorderPresence of antisocial personality disorderPrevalence of antisocial personality disorderHazardous useDSM-5 SUD diagnosesSubstance use disorder severityDiagnostic criteriaInteraction effects with sexTobacco use disorderDSM-5Association of alcoholSUD diagnosisDisordersCocaineRacial/ethnic backgroundsIndividualsCocUDSeverityCannabisAssociation patternsAssociationGenetic contribution to the comorbidity between attention-deficit/hyperactivity disorder and substance use disorders
Koller D, Mitjans M, Kouakou M, Friligkou E, Cabrera-Mendoza B, Deak J, Llonga N, Pathak G, Stiltner B, Løkhammer S, Levey D, Zhou H, Hatoum A, Kember R, Kranzler H, Stein M, Corominas R, Demontis D, Artigas M, Ramos-Quiroga J, Gelernter J, Ribasés M, Cormand B, Polimanti R. Genetic contribution to the comorbidity between attention-deficit/hyperactivity disorder and substance use disorders. Psychiatry Research 2024, 333: 115758. PMID: 38335780, PMCID: PMC11157987, DOI: 10.1016/j.psychres.2024.115758.Peer-Reviewed Original ResearchMeSH KeywordsAlcoholismAttention Deficit Disorder with HyperactivityComorbidityGenome-Wide Association StudyHumansOpioid-Related DisordersSubstance-Related DisordersConceptsUse disorderGenome-wide association studiesGenomic structural equation modelingCannabis use disorderAlcohol Use Disorders Identification TestAttention-deficit/hyperactivity disorderAlcohol use disorderProblematic alcohol useSubstance use disordersTwo-sample Mendelian randomization analysisLinkage disequilibrium score regression analysisDisorders Identification TestMendelian randomization analysisAssociated with increased oddsOdds of ADHDOpioid use disorderAttention-deficit/hyperactivityGWAS meta-analysesAlcohol dependenceStructural equation modelingNicotine dependenceInvestigate genetic correlationsADHDPolygenic riskStrength of evidence
2023
Does polygenic risk for substance‐related traits predict ages of onset and progression of symptoms?
Kranzler H, Feinn R, Xu H, Ho B, Saini D, Nicastro O, Jacoby A, Toikumo S, Gelernter J, Hartwell E, Kember R. Does polygenic risk for substance‐related traits predict ages of onset and progression of symptoms? Addiction 2023, 118: 1675-1686. PMID: 37069489, PMCID: PMC10525011, DOI: 10.1111/add.16210.Peer-Reviewed Original ResearchMeSH KeywordsAlcohol DrinkingAlcoholismEthanolFemaleGenetic Predisposition to DiseaseGenome-Wide Association StudyHumansMaleMultifactorial InheritanceRisk FactorsSubstance-Related DisordersConceptsOpioid use disorderSubstance use disordersProgression of symptomsPolygenic risk scoresAlcohol use disorderUse disordersAfrican ancestry individualsGenetic riskRegular useEuropean ancestry individualsEarly onsetMore rapid progressionRegular alcohol useShorter progression timeAge of onsetFirst substance useDiscovery sampleUS inpatientsOnset of problemsOutpatient settingDisease progressionRapid progressionSymptom progressionRisk scoreGenome-wide association studies
2022
Phenome-wide Association Analysis of Substance Use Disorders in a Deeply Phenotyped Sample
Kember RL, Hartwell EE, Xu H, Rotenberg J, Almasy L, Zhou H, Gelernter J, Kranzler HR. Phenome-wide Association Analysis of Substance Use Disorders in a Deeply Phenotyped Sample. Biological Psychiatry 2022, 93: 536-545. PMID: 36273948, PMCID: PMC9931661, DOI: 10.1016/j.biopsych.2022.08.010.Peer-Reviewed Original ResearchMeSH KeywordsAlcohol DrinkingAlcoholismChild, PreschoolGenetic Predisposition to DiseaseGenome-Wide Association StudyHumansMultifactorial InheritancePhenotypeRisk FactorsSubstance-Related DisordersConceptsSubstance use disordersAlcohol use disorderOpioid use disorderPolygenic risk scoresUse disordersCo-occurring psychiatric disordersComprehensive psychiatric interviewSemi-Structured AssessmentElectronic health recordsControl subjectsLow prevalencePsychiatric interviewRisk scorePsychiatric disordersPhenome-wide association analysisDrug dependenceEuropean individualsHealth recordsLifetime cannabisPhenome-wide association studyDisordersAfrican ancestry individualsDSM diagnosesPopulation sampleGenetic liability
2021
Drinking and smoking polygenic risk is associated with childhood and early-adulthood psychiatric and behavioral traits independently of substance use and psychiatric genetic risk
De Angelis F, Wendt FR, Pathak GA, Tylee DS, Goswami A, Gelernter J, Polimanti R. Drinking and smoking polygenic risk is associated with childhood and early-adulthood psychiatric and behavioral traits independently of substance use and psychiatric genetic risk. Translational Psychiatry 2021, 11: 586. PMID: 34775470, PMCID: PMC8590689, DOI: 10.1038/s41398-021-01713-z.Peer-Reviewed Original ResearchMeSH KeywordsAdultAlcohol DrinkingChildHumansMultifactorial InheritanceRisk FactorsSmokingSubstance-Related DisordersTobacco SmokingYoung AdultConceptsSubstance useYoung adultsBehavioral traitsPhiladelphia Neurodevelopmental CohortRemoval of participantsAnxiety-related traitsRisk-taking behaviorVerbal reasoningCognitive performancePolygenic risk scoresSocial competenciesNeurobiological processesNeurodevelopmental CohortPsychiatric genetic riskDrinking behaviorParent educationPRS associationsPolygenic riskPsychopathologyGenetic overlapPsychotic symptomsAdverse health outcomesHazardous behaviorEducational attainmentTobacco smokingThe addiction risk factor: A unitary genetic vulnerability characterizes substance use disorders and their associations with common correlates
Hatoum AS, Johnson EC, Colbert SMC, Polimanti R, Zhou H, Walters RK, Gelernter J, Edenberg HJ, Bogdan R, Agrawal A. The addiction risk factor: A unitary genetic vulnerability characterizes substance use disorders and their associations with common correlates. Neuropsychopharmacology 2021, 47: 1739-1745. PMID: 34750568, PMCID: PMC9372072, DOI: 10.1038/s41386-021-01209-w.Peer-Reviewed Original ResearchMeSH KeywordsAlcohol DrinkingBehavior, AddictiveGenome-Wide Association StudyHumansOpioid-Related DisordersRisk FactorsSubstance-Related DisordersGenome-wide association study of stimulant dependence
Cox J, Sherva R, Wetherill L, Foroud T, Edenberg HJ, Kranzler HR, Gelernter J, Farrer LA. Genome-wide association study of stimulant dependence. Translational Psychiatry 2021, 11: 363. PMID: 34226506, PMCID: PMC8257618, DOI: 10.1038/s41398-021-01440-5.Peer-Reviewed Original ResearchConceptsStimulant dependenceAssociation studiesVoltage-gated channel proteinsGenome-wide association studiesNicotinic acetylcholine receptor genesTop GWAS signalsUse disordersAcetylcholine receptor genesWide association studyGWAS signalsSubstance use disordersEuropean ancestry subjectsNovel genesCocaine use disorderUsers of cocaineChannel proteinsGenetic studiesSpecific genetic factorsGenetics of AlcoholismSignificant pleiotropy
2020
GABAergic polygenic risk for cocaine use disorder is negatively correlated with precuneus activity during cognitive control in African American individuals
Yang BZ, Balodis IM, Kober H, Worhunsky PD, Lacadie CM, Gelernter J, Potenza MN. GABAergic polygenic risk for cocaine use disorder is negatively correlated with precuneus activity during cognitive control in African American individuals. Addictive Behaviors 2020, 114: 106695. PMID: 33153773, PMCID: PMC8299472, DOI: 10.1016/j.addbeh.2020.106695.Peer-Reviewed Original Research
2019
Multivariate Analyses Reveal Biological Components Related to Neuronal Signaling and Immunity Mediating Electroencephalograms Abnormalities in Alcohol‐Dependent Individuals from the Collaborative Study on the Genetics of Alcoholism Cohort
Meda SA, Narayanan B, Chorlian D, Meyers JL, Gelernter J, Hesselbrock V, Bauer L, Calhoun VD, Porjesz B, Pearlson G. Multivariate Analyses Reveal Biological Components Related to Neuronal Signaling and Immunity Mediating Electroencephalograms Abnormalities in Alcohol‐Dependent Individuals from the Collaborative Study on the Genetics of Alcoholism Cohort. Alcohol Clinical And Experimental Research 2019, 43: 1462-1477. PMID: 31009096, DOI: 10.1111/acer.14063.Peer-Reviewed Original ResearchMeSH KeywordsAdolescentAdultAlcoholismCase-Control StudiesCohort StudiesElectroencephalographyFemaleGenetic Association StudiesGenome-Wide Association StudyGenotypeHumansMaleMiddle AgedMultigene FamilyNeuronsPhenotypePolymorphism, Single NucleotideSignal TransductionSubstance-Related DisordersWhite PeopleYoung AdultConceptsGenetic clustersSingle nucleotide polymorphism dataSignificant genotype-phenotype associationsNucleotide polymorphism dataLipid/cholesterol metabolismLinkage-based analysisGenotype-phenotype relationshipsGenotype-phenotype associationsGene clusterCell signalingPolymorphism dataMolecular mechanismsAlcoholism datasetGenomewide associationTop hitsGenetic componentNeuronal signalingGeneticsSignalingBiological componentsRelationship pairsCholesterol metabolismNeurogenesisSNP componentParallel independent component analysis
2018
Inferring phenotypes from substance use via collaborative matrix completion
Lu J, Sun J, Wang X, Kranzler H, Gelernter J, Bi J. Inferring phenotypes from substance use via collaborative matrix completion. BMC Systems Biology 2018, 12: 104. PMID: 30463556, PMCID: PMC6249733, DOI: 10.1186/s12918-018-0623-5.Peer-Reviewed Original ResearchMeSH KeywordsAlgorithmsComputational BiologyFemaleGenotypeHumansMaleModels, StatisticalPhenotypeSubstance-Related DisordersConceptsRecent statistical methodsMatrix completion techniqueMatrix completionStatistical modelingStatistical methodsPhenotype imputationSpeed 20 timesBi-linear modelImputation methodsParallel algorithmSequential algorithmMultiple scalesSimilar genetic determinantsGood accuracyAlgorithmNew approachCompletion techniquesSample sizeAccuracyModel
2017
Schizophrenia and substance use comorbidity: a genome-wide perspective
Polimanti R, Agrawal A, Gelernter J. Schizophrenia and substance use comorbidity: a genome-wide perspective. Genome Medicine 2017, 9: 25. PMID: 28327175, PMCID: PMC5359801, DOI: 10.1186/s13073-017-0423-3.Peer-Reviewed Original ResearchMeSH KeywordsDiagnosis, Dual (Psychiatry)Genome-Wide Association StudyHumansSchizophreniaSubstance-Related DisordersConceptsSubstance use disordersPublic health messagesPremature mortalityPsychiatric disordersUse disordersDual diagnosisHealth messagesRecent genetic investigationsDiagnosisSchizophreniaDisordersGenetic investigationsWide association studyAssociation studiesComorbiditiesMortalityGenome-wide perspectiveAlcohol and nicotine codependence-associated DNA methylation changes in promoter regions of addiction-related genes
Xu H, Wang F, Kranzler HR, Gelernter J, Zhang H. Alcohol and nicotine codependence-associated DNA methylation changes in promoter regions of addiction-related genes. Scientific Reports 2017, 7: 41816. PMID: 28165486, PMCID: PMC5292964, DOI: 10.1038/srep41816.Peer-Reviewed Original Research
2015
Association of the OPRM1 Variant rs1799971 (A118G) with Non-Specific Liability to Substance Dependence in a Collaborative de novo Meta-Analysis of European-Ancestry Cohorts
Schwantes-An TH, Zhang J, Chen LS, Hartz SM, Culverhouse RC, Chen X, Coon H, Frank J, Kamens HM, Konte B, Kovanen L, Latvala A, Legrand LN, Maher BS, Melroy WE, Nelson EC, Reid MW, Robinson JD, Shen PH, Yang BZ, Andrews JA, Aveyard P, Beltcheva O, Brown SA, Cannon DS, Cichon S, Corley RP, Dahmen N, Degenhardt L, Foroud T, Gaebel W, Giegling I, Glatt SJ, Grucza RA, Hardin J, Hartmann AM, Heath AC, Herms S, Hodgkinson CA, Hoffmann P, Hops H, Huizinga D, Ising M, Johnson EO, Johnstone E, Kaneva RP, Kendler KS, Kiefer F, Kranzler HR, Krauter KS, Levran O, Lucae S, Lynskey MT, Maier W, Mann K, Martin NG, Mattheisen M, Montgomery GW, Müller-Myhsok B, Murphy MF, Neale MC, Nikolov MA, Nishita D, Nöthen MM, Nurnberger J, Partonen T, Pergadia ML, Reynolds M, Ridinger M, Rose RJ, Rouvinen-Lagerström N, Scherbaum N, Schmäl C, Soyka M, Stallings MC, Steffens M, Treutlein J, Tsuang M, Wall TL, Wodarz N, Yuferov V, Zill P, Bergen AW, Chen J, Cinciripini PM, Edenberg HJ, Ehringer MA, Ferrell RE, Gelernter J, Goldman D, Hewitt JK, Hopfer CJ, Iacono WG, Kaprio J, Kreek MJ, Kremensky IM, Madden PA, McGue M, Munafò MR, Philibert RA, Rietschel M, Roy A, Rujescu D, Saarikoski ST, Swan GE, Todorov AA, Vanyukov MM, Weiss RB, Bierut LJ, Saccone NL. Association of the OPRM1 Variant rs1799971 (A118G) with Non-Specific Liability to Substance Dependence in a Collaborative de novo Meta-Analysis of European-Ancestry Cohorts. Behavior Genetics 2015, 46: 151-169. PMID: 26392368, PMCID: PMC4752855, DOI: 10.1007/s10519-015-9737-3.Peer-Reviewed Original ResearchConceptsSubstance dependenceModest protective effectDSM-IV alcoholOpioid receptor geneLight smokingProtective effectNicotine dependenceAddiction liabilityDifferent addictive substancesG alleleMeta-AnalysisCocaine dependenceRs1799971Addictive substancesHuman genetic studiesReceptor genePotential functional significanceEuropean ancestry cohortsOPRM1Substance dependence riskSimilar effectsEuropean ancestry subjectsFunctional significanceAddictive behaviorsRiskDissecting ancestry genomic background in substance dependence genome-wide association studies
Polimanti R, Yang C, Zhao H, Gelernter J. Dissecting ancestry genomic background in substance dependence genome-wide association studies. Pharmacogenomics 2015, 16: 1487-1498. PMID: 26267224, PMCID: PMC4632979, DOI: 10.2217/pgs.15.91.Peer-Reviewed Original ResearchMeSH KeywordsAlcoholismAlgorithmsAllelesBlack or African AmericanGene FrequencyGene-Environment InteractionGenetic Predisposition to DiseaseGenetic VariationGenome-Wide Association StudyHaplotypesHumansMolecular Sequence AnnotationOpioid-Related DisordersSubstance-Related DisordersTobacco Use DisorderWhite PeopleConceptsGenome-wide association studiesGenomic backgroundFunctional allelesAssociation studiesCommon functional allelesWide association studyLocal haplotype structureGenetic lociSD traitHaplotype structureRelevant genesGenesLociInteractive partnersPopulation diversityHigh frequency differencesAllelesFrequency differenceGenomeTraitsDiversityRoleVariantsInter-observer reliability of DSM-5 substance use disorders
Denis CM, Gelernter J, Hart AB, Kranzler HR. Inter-observer reliability of DSM-5 substance use disorders. Drug And Alcohol Dependence 2015, 153: 229-235. PMID: 26048641, PMCID: PMC4509850, DOI: 10.1016/j.drugalcdep.2015.05.019.Peer-Reviewed Original ResearchMeSH KeywordsAdultAnxiety DisordersDiagnostic and Statistical Manual of Mental DisordersFemaleHumansMaleMood DisordersObserver VariationSubstance-Related DisordersConceptsDSM-5 SUD diagnosesSUD diagnosisDSM-IV diagnosisLifetime moodInter-observer reliabilityDSM-5 substance use disordersDisorder diagnosisCo-occurring SUDSubstance use disorder diagnosisSubstance use disordersDSM-5 criteriaSemi-Structured AssessmentAnxiety disorder diagnosisLifetime SUDMild severityUse disordersDrug dependenceSevere disordersDSM-IVPercent agreementDiagnosisAnxiety disordersLifetime alcoholLimited evidenceDisorders
2014
DSM-5 Gambling Disorder: Prevalence and Characteristics in a Substance Use Disorder Sample
Rennert L, Denis C, Peer K, Lynch KG, Gelernter J, Kranzler HR. DSM-5 Gambling Disorder: Prevalence and Characteristics in a Substance Use Disorder Sample. Experimental And Clinical Psychopharmacology 2014, 22: 50-56. PMID: 24490711, PMCID: PMC4019046, DOI: 10.1037/a0034518.Peer-Reviewed Original ResearchConceptsSubstance Use Disorder SamplePathological gamblingGD diagnosisSemistructured psychiatric interviewFourth Edition diagnosisLogistic regression analysisGambling disorderDSM-5 diagnosisMultinomial logistic regression analysisDisorder sampleProspective studySUD sampleEdition diagnosisHigh prevalenceComorbid SUDPG criteriaPsychiatric interviewMental disordersDSM-IVSubstance dependenceDiagnosisPrevalenceStatistical ManualRegression analysisFifth editionThe α-endomannosidase gene (MANEA) is associated with panic disorder and social anxiety disorder
Jensen KP, Stein MB, Kranzler HR, Yang BZ, Farrer LA, Gelernter J. The α-endomannosidase gene (MANEA) is associated with panic disorder and social anxiety disorder. Translational Psychiatry 2014, 4: e353-e353. PMID: 24473444, PMCID: PMC3905232, DOI: 10.1038/tp.2013.122.Peer-Reviewed Original ResearchConceptsPanic disorderAnxiety disordersCocaine-induced paranoiaAnxiety disorder casesWhole blood cellsPsychiatric disorder riskWarrants further investigationAfrican American subjectsComorbid drugPD casesPsychiatric disordersAlcohol dependenceBrain tissueCocaine useBehavioral effectsBlood cellsClinical potentialGene variantsDisordersDisorder casesSingle nucleotide polymorphismsDisorder riskIndependent samplesPsychiatric phenotypesFurther investigation
2012
Identification of POMC Exonic Variants Associated with Substance Dependence and Body Mass Index
Wang F, Gelernter J, Kranzler HR, Zhang H. Identification of POMC Exonic Variants Associated with Substance Dependence and Body Mass Index. PLOS ONE 2012, 7: e45300. PMID: 23028917, PMCID: PMC3444488, DOI: 10.1371/journal.pone.0045300.Peer-Reviewed Original ResearchConceptsBody mass indexSubstance dependenceMass indexExact testRare variantsAfrican AmericansNormal weight groupCommon variantsFisher's exact testProopiomelanocortin geneObese groupObese subjectsExonic variantsMelanocortin peptidesEuropean AmericansLogistic regressionCommon polymorphismsOverweightRare exonic variantsVariants AssociatedPopulation-specific mannerRiskAssociationObesityGroupGABRA2 Genotype, Impulsivity, and Body Mass
Bauer LO, Yang B, Houston RJ, Kranzler HR, Gelernter J. GABRA2 Genotype, Impulsivity, and Body Mass. American Journal On Addictions 2012, 21: 404-410. PMID: 22882390, PMCID: PMC3773931, DOI: 10.1111/j.1521-0391.2012.00252.x.Peer-Reviewed Original ResearchMeSH KeywordsAdultAttention Deficit Disorder with HyperactivityBody Mass IndexCase-Control StudiesConnecticutFemaleGenotypeHumansImpulsive BehaviorMaleMiddle AgedPolymorphism, Single NucleotidePsychiatric Status Rating ScalesReceptors, GABA-ASex FactorsSubstance Abuse Treatment CentersSubstance-Related DisordersConceptsBody mass indexElevated body mass indexAssociation of BMIGABRA2 genotypeSubstance dependenceAttention-deficit/hyperactivity disorderHigh-calorie foodsPrevious pregnancyMass indexElectroencephalographic featuresRisk factorsChildhood symptomsScale scoreDrug abstinenceCalorie foodsHyperactivity disorderGenetic findingsWomenLonger durationBarratt Impulsiveness ScalePsychological indicatorsGABRA2 variantsSex differencesSecond analysisBody mass