2019
Genomewide Gene-by-Sex Interaction Scans Identify ADGRV1 for Sex Differences in Opioid Dependent African Americans
Yang BZ, Zhou H, Cheng Z, Kranzler HR, Gelernter J. Genomewide Gene-by-Sex Interaction Scans Identify ADGRV1 for Sex Differences in Opioid Dependent African Americans. Scientific Reports 2019, 9: 18070. PMID: 31792237, PMCID: PMC6889277, DOI: 10.1038/s41598-019-53560-0.Peer-Reviewed Original ResearchMeSH KeywordsAdultAllelesAnalgesics, OpioidBlack or African AmericanBrainCalcium-Binding ProteinsFemaleGene Expression ProfilingGenetic Predisposition to DiseaseGenome-Wide Association StudyHumansMaleMiddle AgedOpioid-Related DisordersPolymorphism, Single NucleotideReceptors, G-Protein-CoupledReceptors, Kainic AcidSex FactorsWhite PeopleConceptsOpioid dependenceOD riskSex-different effectsSex differencesInferior olivary nucleusDSM-IV diagnosisDimorphic riskSubstantia nigraAA menOlivary nucleusFrontal cortexEuropean-American subjectsADGRV1Further studiesRiskAfrican AmericansGenetic variantsDisease enrichment analysisBrainSex interactionNominal significanceMenFirst studyPutamenLungInternational meta-analysis of PTSD genome-wide association studies identifies sex- and ancestry-specific genetic risk loci
Nievergelt CM, Maihofer AX, Klengel T, Atkinson EG, Chen CY, Choi KW, Coleman JRI, Dalvie S, Duncan LE, Gelernter J, Levey DF, Logue MW, Polimanti R, Provost AC, Ratanatharathorn A, Stein MB, Torres K, Aiello AE, Almli LM, Amstadter AB, Andersen SB, Andreassen OA, Arbisi PA, Ashley-Koch AE, Austin SB, Avdibegovic E, Babić D, Bækvad-Hansen M, Baker DG, Beckham JC, Bierut LJ, Bisson JI, Boks MP, Bolger EA, Børglum AD, Bradley B, Brashear M, Breen G, Bryant RA, Bustamante AC, Bybjerg-Grauholm J, Calabrese JR, Caldas- de- Almeida J, Dale AM, Daly MJ, Daskalakis NP, Deckert J, Delahanty DL, Dennis MF, Disner SG, Domschke K, Dzubur-Kulenovic A, Erbes CR, Evans A, Farrer LA, Feeny NC, Flory JD, Forbes D, Franz CE, Galea S, Garrett ME, Gelaye B, Geuze E, Gillespie C, Uka AG, Gordon SD, Guffanti G, Hammamieh R, Harnal S, Hauser MA, Heath AC, Hemmings SMJ, Hougaard DM, Jakovljevic M, Jett M, Johnson EO, Jones I, Jovanovic T, Qin XJ, Junglen AG, Karstoft KI, Kaufman ML, Kessler RC, Khan A, Kimbrel NA, King AP, Koen N, Kranzler HR, Kremen WS, Lawford BR, Lebois LAM, Lewis CE, Linnstaedt SD, Lori A, Lugonja B, Luykx JJ, Lyons MJ, Maples-Keller J, Marmar C, Martin AR, Martin NG, Maurer D, Mavissakalian MR, McFarlane A, McGlinchey RE, McLaughlin KA, McLean SA, McLeay S, Mehta D, Milberg WP, Miller MW, Morey RA, Morris CP, Mors O, Mortensen PB, Neale BM, Nelson EC, Nordentoft M, Norman SB, O’Donnell M, Orcutt HK, Panizzon MS, Peters ES, Peterson AL, Peverill M, Pietrzak RH, Polusny MA, Rice JP, Ripke S, Risbrough VB, Roberts AL, Rothbaum AO, Rothbaum BO, Roy-Byrne P, Ruggiero K, Rung A, Rutten BPF, Saccone NL, Sanchez SE, Schijven D, Seedat S, Seligowski AV, Seng JS, Sheerin CM, Silove D, Smith AK, Smoller JW, Sponheim SR, Stein DJ, Stevens JS, Sumner JA, Teicher MH, Thompson WK, Trapido E, Uddin M, Ursano RJ, van den Heuvel LL, Van Hooff M, Vermetten E, Vinkers CH, Voisey J, Wang Y, Wang Z, Werge T, Williams MA, Williamson DE, Winternitz S, Wolf C, Wolf EJ, Wolff JD, Yehuda R, Young RM, Young KA, Zhao H, Zoellner LA, Liberzon I, Ressler KJ, Haas M, Koenen KC. International meta-analysis of PTSD genome-wide association studies identifies sex- and ancestry-specific genetic risk loci. Nature Communications 2019, 10: 4558. PMID: 31594949, PMCID: PMC6783435, DOI: 10.1038/s41467-019-12576-w.Peer-Reviewed Original ResearchConceptsGenome-wide association studiesDisease genesAssociation studiesGenome-wide significant lociAfrican-ancestry analysesNon-coding RNAsGenetic risk lociParkinson's disease genesEuropean ancestry populationsNovel genesSignificant lociGenetic variationSpecific lociRisk lociAdditional lociLociAncestry populationsCommon variantsHeritability estimatesGenesGWASRNABiologySNPsPARK2
2017
Genome-Wide Association Studies of a Broad Spectrum of Antisocial Behavior
Tielbeek JJ, Johansson A, Polderman TJC, Rautiainen MR, Jansen P, Taylor M, Tong X, Lu Q, Burt AS, Tiemeier H, Viding E, Plomin R, Martin NG, Heath AC, Madden PAF, Montgomery G, Beaver KM, Waldman I, Gelernter J, Kranzler HR, Farrer LA, Perry JRB, Munafò M, LoParo D, Paunio T, Tiihonen J, Mous SE, Pappa I, de Leeuw C, Watanabe K, Hammerschlag AR, Salvatore JE, Aliev F, Bigdeli TB, Dick D, Faraone SV, Popma A, Medland SE, Posthuma D. Genome-Wide Association Studies of a Broad Spectrum of Antisocial Behavior. JAMA Psychiatry 2017, 74: 1242-1250. PMID: 28979981, PMCID: PMC6309228, DOI: 10.1001/jamapsychiatry.2017.3069.Peer-Reviewed Original ResearchConceptsNovel genetic risk variantsSingle nucleotide polymorphism-based heritabilityGenome-wide association studiesGenome-wide association dataCausal genetic variantsGenome-wide genotypesPolygenic risk score analysisGenetic architectureGenetic risk variantsInverse genetic correlationPromising lociAssociation studiesBiological pathwaysPleiotropic associationsQuantitative phenotypesGenetic correlationsPsychiatric traitsAssociation dataGenetic effectsRisk variantsRisk score analysisGenetic variantsGenetic originDiscovery sampleTraitsAncestry‐specific and sex‐specific risk alleles identified in a genome‐wide gene‐by‐alcohol dependence interaction study of risky sexual behaviors
Polimanti R, Zhao H, Farrer LA, Kranzler HR, Gelernter J. Ancestry‐specific and sex‐specific risk alleles identified in a genome‐wide gene‐by‐alcohol dependence interaction study of risky sexual behaviors. American Journal Of Medical Genetics Part B Neuropsychiatric Genetics 2017, 174: 846-853. PMID: 28990359, PMCID: PMC5861711, DOI: 10.1002/ajmg.b.32604.Peer-Reviewed Original ResearchLargest GWAS of PTSD (N=20 070) yields genetic overlap with schizophrenia and sex differences in heritability
Duncan LE, Ratanatharathorn A, Aiello AE, Almli LM, Amstadter AB, Ashley-Koch AE, Baker DG, Beckham JC, Bierut LJ, Bisson J, Bradley B, Chen CY, Dalvie S, Farrer LA, Galea S, Garrett ME, Gelernter JE, Guffanti G, Hauser MA, Johnson EO, Kessler RC, Kimbrel NA, King A, Koen N, Kranzler HR, Logue MW, Maihofer AX, Martin AR, Miller MW, Morey RA, Nugent NR, Rice JP, Ripke S, Roberts AL, Saccone NL, Smoller JW, Stein DJ, Stein MB, Sumner JA, Uddin M, Ursano RJ, Wildman DE, Yehuda R, Zhao H, Daly MJ, Liberzon I, Ressler KJ, Nievergelt CM, Koenen KC. Largest GWAS of PTSD (N=20 070) yields genetic overlap with schizophrenia and sex differences in heritability. Molecular Psychiatry 2017, 23: 666-673. PMID: 28439101, PMCID: PMC5696105, DOI: 10.1038/mp.2017.77.Peer-Reviewed Original ResearchMeSH KeywordsAdultBipolar DisorderBlack or African AmericanCase-Control StudiesDepressive Disorder, MajorFemaleGenetic Predisposition to DiseaseGenome-Wide Association StudyHumansMaleMiddle AgedMultifactorial InheritancePolymorphism, Single NucleotideRisk FactorsSchizophreniaSex CharacteristicsSex FactorsStress Disorders, Post-TraumaticWhite PeopleConceptsSingle nucleotide polymorphismsRisk lociSNP-level summary statisticsGenomic data resourcesGenome-wide significanceMolecular genetic dataComplex genetic disorderPolygenic risk predictionGenetic dataAncestral diversityLarge GWASGenetic indicesDiverse phenotypesGenetic riskHeritability estimatesLociSummary statisticsGenetic disordersHeritabilityGenetic influencesGWASDiversityPhenotypeTransethnicStrong evidenceSex Differences in Methamphetamine Use and Dependence in a Thai Treatment Center
Rungnirundorn T, Verachai V, Gelernter J, Malison RT, Kalayasiri R. Sex Differences in Methamphetamine Use and Dependence in a Thai Treatment Center. Journal Of Addiction Medicine 2017, 11: 19. PMID: 27649265, PMCID: PMC5291761, DOI: 10.1097/adm.0000000000000262.Peer-Reviewed Original ResearchConceptsMA dependenceMA useLifetime episodesTreatment centersLogistic regression analysisResidential drug treatmentChi-square testSex differencesSemi-Structured AssessmentAntisocial personality disorderMA diagnosisMA withdrawalTreatment cohortsComorbid antisocial personality disorderAssociated FactorsDrug treatmentSex-specific differencesNicotine dependencePsychomotor retardationDrug dependenceLogistic regressionMethamphetamine useMA usersPersonality disorderMethamphetamine
2016
Sex‐specific linkage scans in opioid dependence
Yang B, Han S, Kranzler HR, Palmer AA, Gelernter J. Sex‐specific linkage scans in opioid dependence. American Journal Of Medical Genetics Part B Neuropsychiatric Genetics 2016, 174: 261-268. PMID: 27762075, PMCID: PMC5695218, DOI: 10.1002/ajmg.b.32507.Peer-Reviewed Original ResearchAdultBlack or African AmericanBlack PeopleChromosome MappingCocaine-Related DisordersFemaleGenetic LinkageGenetic LociGenetic Predisposition to DiseaseGenome-Wide Association StudyHumansLod ScoreMaleMiddle AgedOpioid-Related DisordersPolymorphism, Single NucleotideRisk FactorsSex FactorsWhite PeopleDNA 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
ALDH2 is associated to alcohol dependence and is the major genetic determinant of “daily maximum drinks” in a GWAS study of an isolated rural chinese sample
Quillen EE, Chen X, Almasy L, Yang F, He H, Li X, Wang X, Liu T, Hao W, Deng H, Kranzler HR, Gelernter J. ALDH2 is associated to alcohol dependence and is the major genetic determinant of “daily maximum drinks” in a GWAS study of an isolated rural chinese sample. American Journal Of Medical Genetics Part B Neuropsychiatric Genetics 2013, 165: 103-110. PMID: 24277619, PMCID: PMC4149216, DOI: 10.1002/ajmg.b.32213.Peer-Reviewed Original ResearchConceptsSingle nucleotide polymorphismsCandidate single nucleotide polymorphismsGenome-wide association analysisCandidate gene studiesPhenotypic variationMajor genetic determinantGWAS studiesHeritable phenotypesAldehyde dehydrogenase deficiencyGene studiesAssociation analysisRisk genesLinkage disequilibriumGenetic determinantsExtended pedigreesNucleotide polymorphismsNorthern Hunan ProvinceAD-related phenotypesPhenotypeALDH2Consumption rateCCDC63Sex-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 levelsGenesMethylationTranscriptome
2012
GABRA2 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
2011
GABRA2 and KIBRA genotypes predict early relapse to substance use
Bauer LO, Covault J, Gelernter J. GABRA2 and KIBRA genotypes predict early relapse to substance use. Drug And Alcohol Dependence 2011, 123: 154-159. PMID: 22129841, PMCID: PMC3294190, DOI: 10.1016/j.drugalcdep.2011.11.004.Peer-Reviewed Original ResearchConceptsMonths of abstinenceDrug use problemsCognitive controlContribution of ageAbstinence violationDrug abuse problemsKIBRA genotypeUse problemsDepression symptomsDrug involvementSubstance useAbuse problemsTreatment settingsDrug useKIBRARisk of relapseFuture studiesGABRA2AbstinenceSmall samplesEthnic groupsANKK1Younger ageChildhood Adversity Increases Risk for Nicotine Dependence and Interacts with α5 Nicotinic Acetylcholine Receptor Genotype Specifically in Males
Xie P, Kranzler HR, Zhang H, Oslin D, Anton RF, Farrer LA, Gelernter J. Childhood Adversity Increases Risk for Nicotine Dependence and Interacts with α5 Nicotinic Acetylcholine Receptor Genotype Specifically in Males. Neuropsychopharmacology 2011, 37: 669-676. PMID: 22012472, PMCID: PMC3260970, DOI: 10.1038/npp.2011.240.Peer-Reviewed Original ResearchConceptsChildhood adversityRs16969968 genotypeND riskSex differencesNicotinic acetylcholine receptor genesAcetylcholine receptor genesPotential sex differencesNicotine dependence riskFagerstrom TestNicotine intakeSmoking riskIncrease riskNicotine dependenceRodent modelsReceptor genotypeND scoresEarly life experiencesEuropean AmericansReceptor geneWomenRiskGene × environment effectsMenVariation in NGFB is associated with primary affective disorders in women
Cui D, Zhang H, Yang B, Listman JB, Li D, Price LH, Carpenter LL, Tyrka AR, Anton RF, Kranzler HR, Gelernter J. Variation in NGFB is associated with primary affective disorders in women. American Journal Of Medical Genetics Part B Neuropsychiatric Genetics 2011, 156: 401-412. PMID: 21294249, PMCID: PMC3108453, DOI: 10.1002/ajmg.b.31175.Peer-Reviewed Original Research
2010
Variation in the gene encoding the serotonin transporter is associated with a measure of sociopathy in alcoholics
Herman AI, Conner TS, Anton RF, Gelernter J, Kranzler HR, Covault J. Variation in the gene encoding the serotonin transporter is associated with a measure of sociopathy in alcoholics. Addiction Biology 2010, 16: 124-132. PMID: 20192950, PMCID: PMC2888710, DOI: 10.1111/j.1369-1600.2009.00197.x.Peer-Reviewed Original ResearchMeSH KeywordsAdultAlcoholics AnonymousAlcoholismAllelesAntisocial Personality DisorderCognitive Behavioral TherapyFemaleGene FrequencyGenetic VariationGenotypeHumansMaleMiddle AgedMotivationPersonality InventoryPolymorphism, GeneticPsychotherapySerotonin Plasma Membrane Transport ProteinsSex FactorsConceptsAlcohol dependenceAlcohol use disorderAlcohol Treatment TrialSerotonin transporter proteinSocialization scoresTreatment trialsPsychiatric disordersUse disordersInsertion-deletion polymorphismTri-allelicInventory scoresSerotonin transporterSingle nucleotide polymorphismsWomenLower socialization scoresProject MATCHRegression analysisScoresShort allele
2006
GENETIC 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
2005
COMT Polymorphisms and Anxiety-Related Personality Traits
Stein MB, Fallin MD, Schork NJ, Gelernter J. COMT Polymorphisms and Anxiety-Related Personality Traits. Neuropsychopharmacology 2005, 30: 2092-2102. PMID: 15956988, DOI: 10.1038/sj.npp.1300787.Peer-Reviewed Original ResearchAdolescentAdultAnxietyCatechol O-MethyltransferaseChi-Square DistributionConfidence IntervalsDemographyExtraversion, PsychologicalFemaleGene FrequencyGenetic Predisposition to DiseaseGenetic VariationGenotypeHumansMaleMethionineNeurotic DisordersOdds RatioPersonalityPersonality InventoryPolymorphism, GeneticSex FactorsValine
2004
Typologies 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
1989
Corpus callosum dimensions measured by magnetic resonance imaging in bipolar affective disorder and schizophrenia
Hauser P, Dauphinais I, Berrettini W, DeLisi L, Gelernter J, Post R. Corpus callosum dimensions measured by magnetic resonance imaging in bipolar affective disorder and schizophrenia. Biological Psychiatry 1989, 26: 659-668. PMID: 2804188, DOI: 10.1016/0006-3223(89)90100-5.Peer-Reviewed Original ResearchConceptsCerebral areasMagnetic resonance imaging (MRI) brain scansBipolar affective patientsNormal control subjectsBipolar affective disorderControl subjectsCallosal areaPsychiatric illnessCallosal regionsSchizophrenic patientsAffective patientsGender differencesAffective disordersControl groupBrain scansMale subjectsDiagnostic groupsSchizophrenic groupFemale subjectsTesla scannerMidsagittal sliceSignificant differencesPatientsCallosalGenu