2021
Genome-wide association study of phenotypes measuring progression from first cocaine or opioid use to dependence reveals novel risk genes
Sherva R, Zhu C, Wetherill L, Edenberg H, Johnson E, Degenhardt L, Agrawal A, Martin N, Nelson E, Kranzler H, Gelernter J, Farrer L. Genome-wide association study of phenotypes measuring progression from first cocaine or opioid use to dependence reveals novel risk genes. Exploration Of Medicine 2021 DOI: 10.37349/emed.2020.00032.Peer-Reviewed Original ResearchGenome-wide association study of phenotypes measuring progression from first cocaine or opioid use to dependence reveals novel risk genes
Sherva R, Zhu C, Wetherill L, Edenberg HJ, Johnson E, Degenhardt L, Agrawal A, Martin NG, Nelson E, Kranzler HR, Gelernter J, Farrer LA. Genome-wide association study of phenotypes measuring progression from first cocaine or opioid use to dependence reveals novel risk genes. Exploration Of Medicine 2021, 2: 60-73. PMID: 34124712, PMCID: PMC8192073, DOI: 10.37349/emed.2021.00032.Peer-Reviewed Original ResearchCox proportional hazards regressionProportional hazards regressionAfrican AmericansDiscovery sampleSelf-reported useSubstantial morbidityHazards regressionHealth burdenIndependent cohortSubstance dependence phenotypesDependence diagnosisGenetic risk lociReplication cohortCocaine dependenceOpioidsDependence phenotypesCohortGenetic variantsTop findingsCocaineRisk lociDisorder resultsLarge percentageMulti-environment gene interactions linked to the interplay between polysubstance dependence and suicidality
Polimanti R, Levey DF, Pathak GA, Wendt FR, Nunez YZ, Ursano RJ, Kessler RC, Kranzler HR, Stein MB, Gelernter J. Multi-environment gene interactions linked to the interplay between polysubstance dependence and suicidality. Translational Psychiatry 2021, 11: 34. PMID: 33431810, PMCID: PMC7801457, DOI: 10.1038/s41398-020-01153-1.Peer-Reviewed Original ResearchConceptsSuicidal ideationPolysubstance dependenceSuicide attemptsOdds ratioGene-environment interactionsYale-PennMultivariate logistic regressionImportant risk factorMultivariate gene-environment interactionsMental health risksOpioid dependenceRisk factorsNicotine dependenceSuicidality outcomesCocaine dependenceLogistic regressionSubstance dependenceSuicidalityCohortLifetime suicidalityLinear mixed modelsMultiple substancesArmy STARRSArmy personnelHealth risks
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 behaviorsRisk
2013
Rate of progression from first use to dependence on cocaine or opioids: A cross-substance examination of associated demographic, psychiatric, and childhood risk factors
Sartor CE, Kranzler HR, Gelernter J. Rate of progression from first use to dependence on cocaine or opioids: A cross-substance examination of associated demographic, psychiatric, and childhood risk factors. Addictive Behaviors 2013, 39: 473-479. PMID: 24238782, PMCID: PMC3855905, DOI: 10.1016/j.addbeh.2013.10.021.Peer-Reviewed Original ResearchMeSH KeywordsAdultAge of OnsetAgedAlcohol-Related DisordersBehavior, AddictiveCase-Control StudiesChildChild AbuseCluster AnalysisCocaine-Related DisordersConnecticutCross-Sectional StudiesDiagnosis, Dual (Psychiatry)Disease ProgressionFemaleHumansInterviews as TopicLogistic ModelsMaleMental DisordersMiddle AgedOpioid-Related DisordersPennsylvaniaRisk FactorsSocial EnvironmentSocioeconomic FactorsSouth CarolinaTime FactorsConceptsChildhood risk factorsOpioid dependenceOpioid-dependent participantsRisk factorsCocaine dependenceDependent participantsImportant public health goalRate of progressionPublic health goalsLogistic regression modelsBlack/African AmericanChildhood physical abuseOrdinal logistic regression modelsCocaine-dependent participantsMean ageSlow progressionElevated riskAssociated demographicPsychiatric disordersMulti-site studyDependence diagnosisGreater riskHealth goalsSubstance dependenceConduct disorderDeep resequencing of 17 glutamate system genes identifies rare variants in DISC1 and GRIN2B affecting risk of opioid dependence
Xie P, Kranzler HR, Krystal JH, Farrer LA, Zhao H, Gelernter J. Deep resequencing of 17 glutamate system genes identifies rare variants in DISC1 and GRIN2B affecting risk of opioid dependence. Addiction Biology 2013, 19: 955-964. PMID: 23855403, PMCID: PMC3815683, DOI: 10.1111/adb.12072.Peer-Reviewed Original ResearchConceptsOpioid dependenceSubstance dependenceRare variantsN-methyl-D-aspartate (NMDA) glutamate receptorsCo-occurring alcohol dependenceHealthy control subjectsControl subjectsNMDA systemOpioid abuseGlutamate receptorsSchizophrenia risk genesSD riskAlcohol dependenceSignificant associationCocaine dependenceAdditional subjectsOD riskRisk genesDISC1African AmericansFirst demonstrationCommon variantsRiskSubjectsMinor allele frequency
2011
Empirically derived subtypes of opioid use and related behaviors
Chan G, Gelernter J, Oslin D, Farrer L, Kranzler HR. Empirically derived subtypes of opioid use and related behaviors. Addiction 2011, 106: 1146-1154. PMID: 21306596, PMCID: PMC3164489, DOI: 10.1111/j.1360-0443.2011.03390.x.Peer-Reviewed Original ResearchMeSH KeywordsAdolescentAdultAge of OnsetAgedAnalgesics, OpioidChildCluster AnalysisComorbidityDiagnostic and Statistical Manual of Mental DisordersFamily HealthFemaleGenetic Association StudiesGenetic Predisposition to DiseaseGenotypeHumansInterview, PsychologicalMaleMental DisordersMiddle AgedOpioid-Related DisordersPhenotypePrevalenceSiblingsSubstance Abuse, IntravenousUnited StatesYoung AdultConceptsOpioid usePsychiatric disordersHomogeneous subtypesRelated behaviorsSemi-Structured AssessmentGeneral community sampleOpioid dependenceMedical historyPrevalence ratesCocaine dependenceDrug dependenceSubtypesParticipant demographicsSubstance useCase-control genetic studyDemographicsDisordersCommunity sampleGenetic studies
2009
Pro-Opiomelanocortin Gene Variation Related to Alcohol or Drug Dependence: Evidence and Replications Across Family- and Population-based Studies
Zhang H, Kranzler HR, Weiss RD, Luo X, Brady KT, Anton RF, Farrer LA, Gelernter J. Pro-Opiomelanocortin Gene Variation Related to Alcohol or Drug Dependence: Evidence and Replications Across Family- and Population-based Studies. Biological Psychiatry 2009, 66: 128-136. PMID: 19217079, PMCID: PMC2896237, DOI: 10.1016/j.biopsych.2008.12.021.Peer-Reviewed Original ResearchConceptsOpioid dependencePro-opiomelanocortin geneCocaine dependenceOpioidergic neurotransmissionSubstance dependence
2007
Comorbid Psychiatric Diagnoses and Their Association with Cocaine‐Induced Psychosis in Cocaine‐Dependent Subjects
Tang Y, Kranzler HR, Gelernter J, Farrer LA, Cubells JF. Comorbid Psychiatric Diagnoses and Their Association with Cocaine‐Induced Psychosis in Cocaine‐Dependent Subjects. American Journal On Addictions 2007, 16: 343-351. PMID: 17882604, DOI: 10.1080/10550490701525723.Peer-Reviewed Original ResearchConceptsAttention deficit hyperactivity disorderCocaine-Induced PsychosisComorbid substance useAntisocial personality disorderCocaine Experience QuestionnairePsychiatric disordersUse disordersPsychiatric diagnosisCocaine dependenceAxis I psychiatric diagnosesComorbid opioid dependenceSubstance useAdult antisocial personality disorderComorbid attention deficit hyperactivity disorderPercent of subjectsComorbid psychiatric diagnosesDSM-IV diagnosisSubstance use disordersCocaine-dependent adultsCocaine-dependent subjectsCocaine-dependent sampleSemi-Structured AssessmentDrugs of abuseDeficit hyperactivity disorderSuch comorbiditiesReliability of DSM-IV diagnostic criteria using the semi-structured assessment for drug dependence and alcoholism (SSADDA)
Pierucci-Lagha A, Gelernter J, Chan G, Arias A, Cubells JF, Farrer L, Kranzler HR. Reliability of DSM-IV diagnostic criteria using the semi-structured assessment for drug dependence and alcoholism (SSADDA). Drug And Alcohol Dependence 2007, 91: 85-90. PMID: 17590536, PMCID: PMC2039919, DOI: 10.1016/j.drugalcdep.2007.04.014.Peer-Reviewed Original ResearchConceptsDSM-IV diagnosisDSM-IV criteriaSemi-Structured AssessmentDrug dependenceIndividual DSM-IV criteriaDiagnostic reliabilityDiagnostic criteriaSubstance dependenceDSM-IV diagnostic criteriaIndividual diagnostic criteriaSubstance dependence diagnosesOpioid dependenceTest-retest reliabilityInter-rater reliabilityPsychiatric disordersDependence diagnosisCocaine dependenceConfidence intervalsDiagnosisInter-rater reliability estimatesAlcoholismSedativesCriteriaIndividual criteriaSpecific groups
2006
Human clock, PER1 and PER2 polymorphisms: lack of association with cocaine dependence susceptibility and cocaine-induced paranoia
Malison RT, Kranzler HR, Yang BZ, Gelernter J. Human clock, PER1 and PER2 polymorphisms: lack of association with cocaine dependence susceptibility and cocaine-induced paranoia. Psychiatric Genetics 2006, 16: 245-249. PMID: 17106427, DOI: 10.1097/01.ypg.0000242198.59020.ca.Peer-Reviewed Original ResearchConceptsSingle nucleotide polymorphismsNucleotide polymorphismsCircadian rhythm genesDrosophila melanogasterHuman orthologGenetic variationCocaine-induced paranoiaGenetic mechanismsRhythm genesGene single nucleotide polymorphismsPopulation comparisonsHuman clockLack of associationPotential involvementAllelic associationClinical featuresAllele frequenciesStimulant exposureBehavioral sensitizationLocomotor sensitizationPsychostimulant addictionDrug useClinical phenotypeCocaine dependencePER2 polymorphismsGENETIC STUDY: Analysis of variations in the tryptophan hydroxylase‐2 (TPH2) gene in cocaine dependence
Dahl JP, Cubells JF, Ray R, Weller AE, Lohoff FW, Ferraro TN, Oslin DW, Kampman KM, Dackis C, Tang Y, Gelernter J, Kranzler HR, O’Brien C, Berrettini WH. GENETIC STUDY: Analysis of variations in the tryptophan hydroxylase‐2 (TPH2) gene in cocaine dependence. Addiction Biology 2006, 11: 76-83. PMID: 16759340, DOI: 10.1111/j.1369-1600.2006.00005.x.Peer-Reviewed Original ResearchConceptsSingle nucleotide polymorphismsCocaine dependenceTryptophan hydroxylase 2 geneTPH2 geneGenetic variationCase-control study designSerotonergic neurotransmitter systemCentral nervous systemSubstance use disordersGenesExact physiological mechanismsNucleotide polymorphismsAnalysis of variationPhysiological mechanismsControl subjectsBody of evidenceRisk factorsNeurotransmitter systemsUse disordersNervous systemStudy designAllele distributionPresent studyAfrican descentStudy associates
2003
CALCYON gene variation, schizophrenia, and cocaine dependence
Luo X, Kranzler H, Lappalainen J, Rosenheck R, Charney D, Zuo L, Erdos J, van Kammen DP, Gelernter J. CALCYON gene variation, schizophrenia, and cocaine dependence. American Journal Of Medical Genetics Part B Neuropsychiatric Genetics 2003, 125B: 25-30. PMID: 14755439, DOI: 10.1002/ajmg.b.20092.Peer-Reviewed Original ResearchConceptsCocaine dependenceSingle nucleotide polymorphismsExact testEA subjectsFisher's exact testSubstance use disordersCalcyon geneDopamine receptor-interacting proteinsComparison of alleleUse disordersEuropean-American subjectsControl groupAA subjectsSchizophreniaReceptor-interacting proteinHaplotype frequenciesPotential roleSpecific polymorphismsMotor controlGene variationSame haplotype blockGenetic variantsSubjectsNucleotide polymorphismsLinkage disequilibrium