2021
Multi-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
2018
Using DNA methylation to validate an electronic medical record phenotype for smoking
McGinnis KA, Justice AC, Tate JP, Kranzler HR, Tindle HA, Becker WC, Concato J, Gelernter J, Li B, Zhang X, Zhao H, Crothers K, Xu K, Group F. Using DNA methylation to validate an electronic medical record phenotype for smoking. Addiction Biology 2018, 24: 1056-1065. PMID: 30284751, PMCID: PMC6541538, DOI: 10.1111/adb.12670.Peer-Reviewed Original ResearchConceptsVeterans Aging Cohort StudyAging Cohort StudyStrong associationDNA methylation sitesSmoking metricsCohort studyCurrent smokingSmoking statusSpearman correlation coefficientBiomarker cohortBlood samplesSmoking behaviorCriterion standardLogistic regressionSmokingSmoking phenotypesCurve analysisGroup assignmentText notesAssociationDescriptive statisticsPhenotypeCorrelation coefficientGenetic discoveriesPercent
2017
Sex 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
2015
Eye color: A potential indicator of alcohol dependence risk in European Americans
Sulovari A, Kranzler HR, Farrer LA, Gelernter J, Li D. Eye color: A potential indicator of alcohol dependence risk in European Americans. American Journal Of Medical Genetics Part B Neuropsychiatric Genetics 2015, 168: 347-353. PMID: 25921801, DOI: 10.1002/ajmg.b.32316.Peer-Reviewed Original ResearchConceptsAlcohol dependenceLight-eyed individualsDark-eyed individualsPopulation-based studyLight eye colorBlue eye colorEvidence of associationEye colorRisk factorsEtiological factorsHigh prevalenceEye color geneLogistic regressionAD-associated genesMore alcoholArchival samplesColor genesAssociationEuropean ancestry subjectsReceptor gene clusterIndividualsStratificationBrown eye colorFurther characterizationAssociation studies
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 mannerRiskAssociationObesityGroupIncreased Genetic Vulnerability to Smoking at CHRNA5 in Early-Onset Smokers
Hartz SM, Short SE, Saccone NL, Culverhouse R, Chen L, Schwantes-An TH, Coon H, Han Y, Stephens SH, Sun J, Chen X, Ducci F, Dueker N, Franceschini N, Frank J, Geller F, Gubjartsson D, Hansel NN, Jiang C, Keskitalo-Vuokko K, Liu Z, Lyytikäinen LP, Michel M, Rawal R, Rosenberger A, Scheet P, Shaffer JR, Teumer A, Thompson JR, Vink JM, Vogelzangs N, Wenzlaff AS, Wheeler W, Xiao X, Yang BZ, Aggen SH, Balmforth AJ, Baumeister SE, Beaty T, Bennett S, Bergen AW, Boyd HA, Broms U, Campbell H, Chatterjee N, Chen J, Cheng YC, Cichon S, Couper D, Cucca F, Dick DM, Foroud T, Furberg H, Giegling I, Gu F, Hall AS, Hällfors J, Han S, Hartmann AM, Hayward C, Heikkilä K, Hewitt JK, Hottenga JJ, Jensen MK, Jousilahti P, Kaakinen M, Kittner SJ, Konte B, Korhonen T, Landi MT, Laatikainen T, Leppert M, Levy SM, Mathias RA, McNeil DW, Medland SE, Montgomery GW, Muley T, Murray T, Nauck M, North K, Pergadia M, Polasek O, Ramos EM, Ripatti S, Risch A, Ruczinski I, Rudan I, Salomaa V, Schlessinger D, Styrkársdóttir U, Terracciano A, Uda M, Willemsen G, Wu X, Abecasis G, Barnes K, Bickeböller H, Boerwinkle E, Boomsma DI, Caporaso N, Duan J, Edenberg HJ, Francks C, Gejman PV, Gelernter J, Grabe HJ, Hops H, Jarvelin MR, Viikari J, Kähönen M, Kendler KS, Lehtimäki T, Levinson DF, Marazita ML, Marchini J, Melbye M, Mitchell BD, Murray JC, Nöthen MM, Penninx BW, Raitakari O, Rietschel M, Rujescu D, Samani NJ, Sanders AR, Schwartz AG, Shete S, Shi J, Spitz M, Stefansson K, Swan GE, Thorgeirsson T, Völzke H, Wei Q, Wichmann H, Amos CI, Breslau N, Cannon DS, Ehringer M, Grucza R, Hatsukami D, Heath A, Johnson EO, Kaprio J, Madden P, Martin NG, Stevens VL, Stitzel JA, Weiss RB, Kraft P, Bierut LJ. Increased Genetic Vulnerability to Smoking at CHRNA5 in Early-Onset Smokers. JAMA Psychiatry 2012, 69: 854-860. PMID: 22868939, PMCID: PMC3482121, DOI: 10.1001/archgenpsychiatry.2012.124.Peer-Reviewed Original ResearchMeSH KeywordsAdolescentAdolescent DevelopmentAdultAge of OnsetEuropeFemaleGene-Environment InteractionGenetic Association StudiesGenetic Predisposition to DiseaseHumansMaleNerve Tissue ProteinsNicotinePolymorphism, Single NucleotideReceptors, NicotinicSeverity of Illness IndexSmokingTobacco Use DisorderConceptsEarly-onset smokersLate-onset smokersHeavy smokersRisk allelesGenetic vulnerabilityRs16969968 genotypeLight smokersLight smokingRegular smokingSmokersSmokingMeta-AnalysisLogistic regressionRs16969968Single nucleotide polymorphismsAgeNonsynonymous single nucleotide polymorphismsCHRNA5Recent studiesAvailable genetic studiesAssociationSample sizeStudyCigarettesGenetic studies
2009
Adolescent cannabis use increases risk for cocaine-induced paranoia
Kalayasiri R, Gelernter J, Farrer L, Weiss R, Brady K, Gueorguieva R, Kranzler HR, Malison RT. Adolescent cannabis use increases risk for cocaine-induced paranoia. Drug And Alcohol Dependence 2009, 107: 196-201. PMID: 19944543, PMCID: PMC2821949, DOI: 10.1016/j.drugalcdep.2009.10.006.Peer-Reviewed Original ResearchMeSH KeywordsAdolescentAdolescent BehaviorAge FactorsAge of OnsetCannabisCatechol O-MethyltransferaseCocaine-Related DisordersFemaleGene FrequencyGenetic Predisposition to DiseaseHumansLogistic ModelsMaleParanoid DisordersPolymerase Chain ReactionPrevalencePsychiatric Status Rating ScalesRisk FactorsSeverity of Illness IndexSiblingsUnited StatesConceptsAdolescent onset cannabisEarly cannabis exposureCocaine-dependent individualsCocaine-induced paranoiaCannabis exposureRisk factorsCOMT genotypeSemi-Structured AssessmentCatechol-O-methyl transferase (COMT) geneCOMT Val158Met genotypeCannabis abuseIncrease riskPsychotic symptomsOnset interactionPsychotic disordersStimulant abuseDrug dependenceFamily-based studyLogistic regressionEarly exposureAdolescent cannabisCannabisGenetic factorsSignificant predictorsVal158Met genotype