2020
A genome-wide association study of cocaine use disorder accounting for phenotypic heterogeneity and gene–environment interaction
Sun J, Kranzler HR, Gelernter J, Bi J. A genome-wide association study of cocaine use disorder accounting for phenotypic heterogeneity and gene–environment interaction. Journal Of Psychiatry And Neuroscience 2020, 45: 34-44. PMID: 31490055, PMCID: PMC6919916, DOI: 10.1503/jpn.180098.Peer-Reviewed Original ResearchConceptsGenetic lociGenome-wide association testsPhenotypic heterogeneityNew genetic lociGenetic variantsWide association studyGene-environment interplayNovel genetic variantsHigh heritability estimatesSignificant genomeReplication sampleSingle nucleotide polymorphismsGenetic variationAssociation studiesLociNucleotide polymorphismsAssociation TestHeritability estimatesGene-environment interactionsReplication resultsCluster analysisEnvironmental factorsTRAK2GenomeDiscovery phase
2016
DNA co-methylation modules in postmortem prefrontal cortex tissues of European Australians with alcohol use disorders
Wang F, Xu H, Zhao H, Gelernter J, Zhang H. DNA co-methylation modules in postmortem prefrontal cortex tissues of European Australians with alcohol use disorders. Scientific Reports 2016, 6: 19430. PMID: 26763658, PMCID: PMC4725922, DOI: 10.1038/srep19430.Peer-Reviewed Original ResearchConceptsCo-methylation modulesPostmortem prefrontal cortex tissueDNA methylome alterationsCo-methylation analysisDNA methylation alterationsSubstance dependence phenotypesTranscriptional regulationDNA methylomeMethylation alterationsMethylome alterationsBiological processesPostmortem prefrontal cortexExpression relationshipsNeural developmentDifferential expressionPrefrontal cortex tissueGenesDependence phenotypesMultiple testing correctionCpGAUD subjectsFemale pairsCortex tissueMethylomePhenotype
2013
Sex-biased methylome and transcriptome in human prefrontal cortex
Xu H, Wang F, Liu Y, Yu Y, Gelernter J, Zhang H. Sex-biased methylome and transcriptome in human prefrontal cortex. Human Molecular Genetics 2013, 23: 1260-1270. PMID: 24163133, PMCID: PMC3919013, DOI: 10.1093/hmg/ddt516.Peer-Reviewed Original ResearchConceptsDNA methylationGene expressionSex-biased DNA methylationMultiple test correctionGenome-wide DNA methylationGene Ontology annotationsDAVID functional annotation analysisFunctional annotation analysisRibosome structurePhenotypic variationAnnotation analysisGO termsProtein translationRNA bindingOntology annotationsHost genesDifferential methylationExpression correlationTranscriptomic profilesDifferential brain developmentDifferential expressionMethylation levelsGenesMethylationTranscriptomeRate 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 disorder
2012
Autosomal linkage scan for loci predisposing to comorbid dependence on multiple substances
Yang B, Han S, Kranzler HR, Farrer LA, Elston RC, Gelernter J. Autosomal linkage scan for loci predisposing to comorbid dependence on multiple substances. American Journal Of Medical Genetics Part B Neuropsychiatric Genetics 2012, 159B: 361-369. PMID: 22354695, PMCID: PMC3920832, DOI: 10.1002/ajmg.b.32037.Peer-Reviewed Original Research
2011
M3: an improved SNP calling algorithm for Illumina BeadArray data
Li G, Gelernter J, Kranzler HR, Zhao H. M3: an improved SNP calling algorithm for Illumina BeadArray data. Bioinformatics 2011, 28: 358-365. PMID: 22155947, PMCID: PMC3268244, DOI: 10.1093/bioinformatics/btr673.Peer-Reviewed Original ResearchEmpirically 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
2010
Identification of population substructure among Jews using STR markers and dependence on reference populations included
Listman JB, Hasin D, Kranzler HR, Malison RT, Mutirangura A, Sughondhabirom A, Aharonovich E, Spivak B, Gelernter J. Identification of population substructure among Jews using STR markers and dependence on reference populations included. BMC Genomic Data 2010, 11: 48. PMID: 20546593, PMCID: PMC2896335, DOI: 10.1186/1471-2156-11-48.Peer-Reviewed Original ResearchConceptsAssociation studiesPopulation substructureGenetic historyPopulation genetic historyMajor continental populationsSTR markersFuture genetic studiesProportion of ancestryChromosomal dataContinental populationsMitochondrial DNAPopulation structureParental populationsMarker choiceRelated populationsGenetic signaturesGenetic studiesAutosomal STR markersGenetic componentSTR panelNon-Ashkenazi Jewish populationsAsian clusterPopulation informationFuture investigationsPopulation
2009
Population admixture modulates risk for alcohol dependence
Zuo L, Luo X, Listman JB, Kranzler HR, Wang S, Anton RF, Blumberg HP, Stein MB, Pearlson GD, Covault J, Charney DS, van Kammen DP, Price LH, Lappalainen J, Cramer J, Krystal JH, Gelernter J. Population admixture modulates risk for alcohol dependence. Human Genetics 2009, 125: 605-613. PMID: 19306106, PMCID: PMC2777998, DOI: 10.1007/s00439-009-0647-4.Peer-Reviewed Original Research
2008
Interaction between Two Independent CNR1 Variants Increases Risk for Cocaine Dependence in European Americans: A Replication Study in Family-Based Sample and Population-Based Sample
Zuo L, Kranzler HR, Luo X, Yang BZ, Weiss R, Brady K, Poling J, Farrer L, Gelernter J. Interaction between Two Independent CNR1 Variants Increases Risk for Cocaine Dependence in European Americans: A Replication Study in Family-Based Sample and Population-Based Sample. Neuropsychopharmacology 2008, 34: 1504-1513. PMID: 19052543, PMCID: PMC2879626, DOI: 10.1038/npp.2008.206.Peer-Reviewed Original ResearchBlack or African AmericanCase-Control StudiesCluster AnalysisCocaineCocaine-Related DisordersFamilyGenetic Predisposition to DiseaseHaplotypesHumansLinkage DisequilibriumParanoid DisordersPolymorphism, Single NucleotideReceptor, Cannabinoid, CB1Regression AnalysisSequence Analysis, DNAUnited StatesWhite People
2007
The validity of cocaine dependence subtypes
Kranzler HR, Wilcox M, Weiss RD, Brady K, Hesselbrock V, Rounsaville B, Farrer L, Gelernter J. The validity of cocaine dependence subtypes. Addictive Behaviors 2007, 33: 41-53. PMID: 17582692, PMCID: PMC2111173, DOI: 10.1016/j.addbeh.2007.05.011.Peer-Reviewed Original Research
2006
Genomewide Linkage Scan for Opioid Dependence and Related Traits
Gelernter J, Panhuysen C, Wilcox M, Hesselbrock V, Rounsaville B, Poling J, Weiss R, Sonne S, Zhao H, Farrer L, Kranzler HR. Genomewide Linkage Scan for Opioid Dependence and Related Traits. American Journal Of Human Genetics 2006, 78: 759-769. PMID: 16642432, PMCID: PMC1474044, DOI: 10.1086/503631.Peer-Reviewed Original Research
2005
Practical population group assignment with selected informative markers: Characteristics and properties of Bayesian clustering via STRUCTURE
Yang B, Zhao H, Kranzler HR, Gelernter J. Practical population group assignment with selected informative markers: Characteristics and properties of Bayesian clustering via STRUCTURE. Genetic Epidemiology 2005, 28: 302-312. PMID: 15782414, DOI: 10.1002/gepi.20070.Peer-Reviewed Original Research
2004
A polymorphism of the β1-adrenergic receptor is associated with low extraversion
Stein MB, Schork NJ, Gelernter J. A polymorphism of the β1-adrenergic receptor is associated with low extraversion. Biological Psychiatry 2004, 56: 217-224. PMID: 15312808, DOI: 10.1016/j.biopsych.2004.05.020.Peer-Reviewed Original ResearchAdolescentAdultArginineChi-Square DistributionCluster AnalysisEthnicityExtraversion, PsychologicalFemaleGene FrequencyGlycineHumansMalePersonality InventoryPhenotypePolymorphism, GeneticPsychiatric Status Rating ScalesReceptors, Adrenergic, beta-1Regression AnalysisReverse Transcriptase Polymerase Chain ReactionRNA, MessengerSerineSex CharacteristicsSurveys and QuestionnairesTypologies of drug dependence: comparative validity of a multivariate and four univariate models
Basu D, Ball SA, Feinn R, Gelernter J, Kranzler HR. Typologies of drug dependence: comparative validity of a multivariate and four univariate models. Drug And Alcohol Dependence 2004, 73: 289-300. PMID: 15036551, DOI: 10.1016/j.drugalcdep.2003.11.004.Peer-Reviewed Original ResearchConceptsDrug dependenceDrug abuse/dependenceLongitudinal cohort studyFirst-degree relativesAbuse/dependencePsychiatric Symptom IndexPredictive validityAntisocial personality disorderGreater concurrent validityCohort studyStrength of associationSymptom IndexAlcohol dependenceB typologyDrug abuseSubstance usePersonality disorderComposite scoreConcurrent validityDegree of changeOverall functioningComparative validitySuperior validityPsychopathologyUnivariate models