2023
Multi-trait genome-wide association analyses leveraging alcohol use disorder findings identify novel loci for smoking behaviors in the Million Veteran Program
Cheng Y, Dao C, Zhou H, Li B, Kember R, Toikumo S, Zhao H, Gelernter J, Kranzler H, Justice A, Xu K. Multi-trait genome-wide association analyses leveraging alcohol use disorder findings identify novel loci for smoking behaviors in the Million Veteran Program. Translational Psychiatry 2023, 13: 148. PMID: 37147289, PMCID: PMC10162964, DOI: 10.1038/s41398-023-02409-2.Peer-Reviewed Original ResearchConceptsSingle-trait genome-wide association studiesGenome-wide association studiesNovel lociPower of GWASJoint genome-wide association studyGenome-wide significant lociMillion Veteran ProgramGenome-wide associationSubstance use traitsGWAS summary statisticsNovel genetic variantsMulti-trait analysisFunctional annotationUse traitsSignificant lociHeritable traitMultiple lociAssociation studiesColocalization analysisLociPleiotropic effectsMTAgVeteran ProgramGenetic variantsTraits
2022
Dissecting the epigenomic differences between smoking and nicotine dependence in a veteran cohort
Nagamatsu S, Pietrzak R, Xu K, Krystal J, Gelernter J, Montalvo‐Ortiz J. Dissecting the epigenomic differences between smoking and nicotine dependence in a veteran cohort. Addiction Biology 2022, 28: e13259. PMID: 36577721, DOI: 10.1111/adb.13259.Peer-Reviewed Original ResearchConceptsSmoking statusNicotine dependenceVeteran cohortNon-current smokersSerious public health issueNovel treatment strategiesPublic health issueUS military veteransEpigenome-wide association studiesCurrent smokersTreatment strategiesFagerström TestNicotine addictionSmokingHealth issuesRole of epigeneticsMilitary veteransMethylationEPIC BeadChip arraySmokersContinuous variablesF2RL3 geneCohortBiomarkersBeadChip arrayPrevious findings
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 ResearchConceptsSubstance 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 smoking
2020
Genome-wide association study of smoking trajectory and meta-analysis of smoking status in 842,000 individuals
Xu K, Li B, McGinnis KA, Vickers-Smith R, Dao C, Sun N, Kember RL, Zhou H, Becker WC, Gelernter J, Kranzler HR, Zhao H, Justice AC. Genome-wide association study of smoking trajectory and meta-analysis of smoking status in 842,000 individuals. Nature Communications 2020, 11: 5302. PMID: 33082346, PMCID: PMC7598939, DOI: 10.1038/s41467-020-18489-3.Peer-Reviewed Original ResearchConceptsGenome-wide association studiesLarge genome-wide association studiesMillion Veteran ProgramAssociation studiesExpression quantitative trait lociQuantitative trait lociChromatin interactionsComplex traitsFunctional annotationTrait lociSequencing ConsortiumDozen genesSignificant lociSmoking phenotypesLociMultiple populationsNew insightsPhenotypeVeteran ProgramGenetic vulnerabilityGenesTraitsAnnotationEuropean AmericansConsortium
2019
Differentiating Types of Self-Reported Alcohol Abstinence
Gordon KS, McGinnis K, Dao C, Rentsch CT, Small A, Smith RV, Kember RL, Gelernter J, Kranzler HR, Bryant KJ, Tate JP, Justice AC. Differentiating Types of Self-Reported Alcohol Abstinence. AIDS And Behavior 2019, 24: 655-665. PMID: 31435887, PMCID: PMC6994373, DOI: 10.1007/s10461-019-02638-x.Peer-Reviewed Original ResearchConceptsLifetime abstainersSelf-reported alcohol abstinenceAlcohol biomarkersGenetic polymorphismsLogistic regression modelsHepatitis CAlcohol abstinenceUninfected individualsCharacteristics of peopleAlcohol useAbstinenceHealth effectsSmokingAbstainersBiomarkersRegression modelsOddsAssociationPLWHPolymorphismHIVCocaineInviting in the Exome for Alcohol and Smoking Traits
Gelernter J. Inviting in the Exome for Alcohol and Smoking Traits. Biological Psychiatry 2019, 85: 889-890. PMID: 31122339, PMCID: PMC7401834, DOI: 10.1016/j.biopsych.2019.04.005.Peer-Reviewed Original Research
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
Genome-wide association study across European and African American ancestries identifies a SNP in DNMT3B contributing to nicotine dependence
Hancock DB, Guo Y, Reginsson GW, Gaddis NC, Lutz SM, Sherva R, Loukola A, Minica CC, Markunas CA, Han Y, Young KA, Gudbjartsson DF, Gu F, McNeil DW, Qaiser B, Glasheen C, Olson S, Landi MT, Madden PAF, Farrer LA, Vink J, Saccone NL, Neale MC, Kranzler HR, McKay J, Hung RJ, Amos CI, Marazita ML, Boomsma DI, Baker TB, Gelernter J, Kaprio J, Caporaso NE, Thorgeirsson TE, Hokanson JE, Bierut LJ, Stefansson K, Johnson EO. Genome-wide association study across European and African American ancestries identifies a SNP in DNMT3B contributing to nicotine dependence. Molecular Psychiatry 2017, 23: 1911-1919. PMID: 28972577, PMCID: PMC5882602, DOI: 10.1038/mp.2017.193.Peer-Reviewed Original ResearchConceptsGenome-wide association studiesAssociation studiesGenotype-Tissue Expression (GTEx) projectDNA methyltransferase genesAcetylcholine receptor genesNicotine dependenceMethyltransferase geneExpression projectCHRNB4 genesHeritable traitAdditional lociProxy phenotypeSequence variantsDNMT3B expressionGenesReceptor geneSquamous cell lung carcinomaCHRNA5-CHRNA3African American ancestryNovel associationsInternational Lung Cancer ConsortiumCell lung carcinomaLociAmerican ancestryAdult cerebellum
2016
Phenome-Wide Association Study for Alcohol and Nicotine Risk Alleles in 26394 Women
Polimanti R, Kranzler HR, Gelernter J. Phenome-Wide Association Study for Alcohol and Nicotine Risk Alleles in 26394 Women. Neuropsychopharmacology 2016, 41: 2688-2696. PMID: 27187070, PMCID: PMC5026736, DOI: 10.1038/npp.2016.72.Peer-Reviewed Original ResearchConceptsHealth initiativesRisk allelesSocioeconomic statusPhenome-wide association studyWomen's Health InitiativeMetabolism-related mechanismsMedication useLung cancerTobacco useDietary habitsSmoking behaviorNicotine useReproductive historyReproductive healthSuggestive findingsAlcohol useAnthropometric characteristicsMental healthHealth conditionsMetabolic conditionsCausative relationshipAssociation studiesDrinking behaviorADH1BAssociationA protocadherin gene cluster regulatory variant is associated with nicotine withdrawal and the urge to smoke
Jensen KP, Smith AH, Herman AI, Farrer LA, Kranzler HR, Sofuoglu M, Gelernter J. A protocadherin gene cluster regulatory variant is associated with nicotine withdrawal and the urge to smoke. Molecular Psychiatry 2016, 22: 242-249. PMID: 27067016, PMCID: PMC5390815, DOI: 10.1038/mp.2016.43.Peer-Reviewed Original ResearchMeSH KeywordsAdultBlack or African AmericanCadherinsDiagnostic and Statistical Manual of Mental DisordersFemaleGene Expression RegulationGenome-Wide Association StudyHumansMaleMultigene FamilyNicotinePolymorphism, Single NucleotideProtocadherinsRecurrenceSmokingSmoking CessationSubstance Withdrawal SyndromeTobacco Use DisorderWhite PeopleConceptsNicotine withdrawalSingle nucleotide polymorphismsNovel smoking cessation treatmentsAfrican AmericansSmoking cessation treatmentNicotine withdrawal symptomsOvernight smoking abstinenceEuropean American smokersFrontal cortex tissueΓ geneCessation treatmentTobacco smokingSmoking abstinenceWithdrawal symptomsAbstinent smokersAmerican smokersΓ gene expressionNicotine infusionSmoking urgesInfusion studiesSmokersMRNA expressionRisk allelesCortex tissueBrief questionnaireCHRNA4 and ANKK1 Polymorphisms Influence Smoking-Induced Nicotinic Acetylcholine Receptor Upregulation
Esterlis I, Hillmer AT, Bois F, Pittman B, McGovern E, O’Malley S, Picciotto MR, Yang BZ, Gelernter J, Cosgrove KP. CHRNA4 and ANKK1 Polymorphisms Influence Smoking-Induced Nicotinic Acetylcholine Receptor Upregulation. Nicotine & Tobacco Research 2016, 18: 1845-1852. PMID: 27611310, PMCID: PMC4978979, DOI: 10.1093/ntr/ntw081.Peer-Reviewed Original ResearchMeSH KeywordsAdultCase-Control StudiesCorpus StriatumFemaleHumansIodine RadioisotopesMalePolymorphism, Single NucleotideProtein Serine-Threonine KinasesReceptors, NicotinicSmokingSmoking CessationSmoking PreventionTobacco Use DisorderTomography, Emission-Computed, Single-PhotonUp-RegulationWhite PeopleConceptsSmoking-induced changesWeeks of abstinenceNAChR availabilitySmoking cessationNicotine dependenceSex-matched nonsmokersTomography brain scanSingle nucleotide polymorphismsNicotinic acetylcholine receptorsSingle photon emissionDays of abstinenceNonsmoker levelsTobacco smokingReceptor upregulationBlood samplesAcetylcholine receptorsBrain scansCHRNA4 variantsCortical regionsSmokersCarrier statusExtended abstinenceAbstinencePersonalized programsNonsmokersCHRNA5/A3/B4 Variant rs3743078 and Nicotine-Related Phenotypes: Indirect Effects Through Nicotine Craving.
Shmulewitz D, Meyers JL, Wall MM, Aharonovich E, Frisch A, Spivak B, Weizman A, Edenberg HJ, Gelernter J, Hasin DS. CHRNA5/A3/B4 Variant rs3743078 and Nicotine-Related Phenotypes: Indirect Effects Through Nicotine Craving. Journal Of Studies On Alcohol And Drugs 2016, 77: 227-37. PMID: 26997181, PMCID: PMC4803655, DOI: 10.15288/jsad.2016.77.227.Peer-Reviewed Original ResearchConceptsNicotine cravingFTND scoreNeuronal nicotinic acetylcholine receptor geneNicotine use disorderNicotinic acetylcholine receptor genesAcetylcholine receptor genesLifetime smokersCigarette smokingMore cigarettesHigher scoresNicotine dependenceFagerström TestTherapeutic targetUse disordersG alleleAllele GCHRNA5-CHRNA3CravingReceptor geneScoresSizeable proportionFTNDCigarettesHousehold sampleSignificant indirect effect
2015
A CHRNA5 Smoking Risk Variant Decreases the Aversive Effects of Nicotine in Humans
Jensen KP, DeVito EE, Herman AI, Valentine GW, Gelernter J, Sofuoglu M. A CHRNA5 Smoking Risk Variant Decreases the Aversive Effects of Nicotine in Humans. Neuropsychopharmacology 2015, 40: 2813-2821. PMID: 25948103, PMCID: PMC4864657, DOI: 10.1038/npp.2015.131.Peer-Reviewed Original ResearchMeSH KeywordsAdultBlood PressureCognition DisordersCotinineFemaleGenome-Wide Association StudyHeart RateHumansMaleMiddle AgedNerve Tissue ProteinsNeuropsychological TestsNicotineNicotinic AgonistsPolymorphism, Single NucleotideReceptors, NicotinicSmokingSubstance Withdrawal SyndromeSurveys and QuestionnairesConceptsAversive effectsHeavy smokingRisk allelesSmoking-related disordersAfrican American smokersCHRNA5-CHRNA3Doses of nicotineHigh nicotine doseNicotine administrationIntravenous doseNicotine effectsNicotine doseAmerican smokersWithdrawal severityOvernight abstinenceAcute responseAA subjectsCardiovascular reactivityCHRNB4 gene clusterNicotineEuropean AmericansAversive responsesAdministration sessionsSmokingCognitive performance
2014
FKBP5 variation is associated with the acute and chronic effects of nicotine
Jensen KP, Herman AI, Morean ME, Kranzler HR, Gelernter J, Sofuoglu M. FKBP5 variation is associated with the acute and chronic effects of nicotine. The Pharmacogenomics Journal 2014, 15: 340-346. PMID: 25532758, PMCID: PMC4599366, DOI: 10.1038/tpj.2014.76.Peer-Reviewed Original ResearchMeSH KeywordsAllelesBlack or African AmericanBlood PressureDiagnostic and Statistical Manual of Mental DisordersGene FrequencyGenotypeHeart RateHumansHydrocortisoneInjections, IntravenousNicotineNicotinic AgonistsRNARNA, MessengerSmokingSubstance Withdrawal SyndromeTacrolimus Binding ProteinsWhite PeopleConceptsNicotine withdrawalFKBP5 mRNA expressionNegative drug effectsHeart rateIndependent cohortDrug effectsMRNA expressionMinor alleleChronic behavioral effectsEffects of nicotineStress hormone regulationLower cortisol levelsWarrants further investigationSevere nicotine withdrawalCurrent smokersBlood pressureHeavy smokersQuit attemptsHR responseSmoking behaviorCortisol responseCortisol levelsLower subjective ratingsSmokersChronic effectsGenome-Wide Association Study of Nicotine Dependence in American Populations: Identification of Novel Risk Loci in Both African-Americans and European-Americans
Gelernter J, Kranzler HR, Sherva R, Almasy L, Herman AI, Koesterer R, Zhao H, Farrer LA. Genome-Wide Association Study of Nicotine Dependence in American Populations: Identification of Novel Risk Loci in Both African-Americans and European-Americans. Biological Psychiatry 2014, 77: 493-503. PMID: 25555482, PMCID: PMC4386684, DOI: 10.1016/j.biopsych.2014.08.025.Peer-Reviewed Original ResearchConceptsGenome-wide association studiesGWS associationsRisk lociAssociation studiesNicotinic receptor gene clusterPrevious genome-wide association studyNovel risk lociAdenosine monophosphate-activated protein kinase (AMPK) pathwayReceptor gene clusterProtein kinase pathwayChromosome 8 regionGWAS analysisGene clusterIntergenic regionNumerous SNPsQuantity traitsKinase pathwayPathway analysisChromosome 14Base pairsNovel insightsStudy of AddictionOrdinal traitsLociTraits
2013
Distinct Loci in the CHRNA5/CHRNA3/CHRNB4 Gene Cluster Are Associated With Onset of Regular Smoking
Stephens SH, Hartz SM, Hoft NR, Saccone NL, Corley RC, Hewitt JK, Hopfer CJ, Breslau N, Coon H, Chen X, Ducci F, Dueker N, Franceschini N, Frank J, Han Y, Hansel NN, Jiang C, Korhonen T, Lind PA, Liu J, Lyytikäinen L, Michel M, Shaffer JR, Short SE, Sun J, Teumer A, Thompson JR, Vogelzangs N, Vink JM, Wenzlaff A, Wheeler W, Yang B, Aggen SH, Balmforth AJ, Baumeister SE, Beaty TH, Benjamin DJ, Bergen AW, Broms U, Cesarini D, Chatterjee N, Chen J, Cheng Y, Cichon S, Couper D, Cucca F, Dick D, Foroud T, Furberg H, Giegling I, Gillespie NA, Gu F, Hall AS, Hällfors J, Han S, Hartmann AM, Heikkilä K, Hickie IB, Hottenga JJ, Jousilahti P, Kaakinen M, Kähönen M, Koellinger PD, Kittner S, Konte B, Landi M, Laatikainen T, Leppert M, Levy SM, Mathias RA, McNeil DW, Medland SE, Montgomery GW, Murray T, Nauck M, North KE, Paré PD, Pergadia M, Ruczinski I, Salomaa V, Viikari J, Willemsen G, Barnes KC, Boerwinkle E, Boomsma DI, Caporaso N, Edenberg HJ, Francks C, Gelernter J, Grabe HJ, Hops H, Jarvelin M, Johannesson M, Kendler KS, Lehtimäki T, Magnusson PK, Marazita ML, Marchini J, Mitchell BD, Nöthen MM, Penninx BW, Raitakari O, Rietschel M, Rujescu D, Samani NJ, Schwartz AG, Shete S, Spitz M, Swan GE, Völzke H, Veijola J, Wei Q, Amos C, Cannon DS, Grucza R, Hatsukami D, Heath A, Johnson EO, Kaprio J, Madden P, Martin NG, Stevens VL, Weiss RB, Kraft P, Bierut LJ, Ehringer MA. Distinct Loci in the CHRNA5/CHRNA3/CHRNB4 Gene Cluster Are Associated With Onset of Regular Smoking. Genetic Epidemiology 2013, 37: 846-859. PMID: 24186853, PMCID: PMC3947535, DOI: 10.1002/gepi.21760.Peer-Reviewed Original ResearchConceptsGene clusterAssociation signalsEarly smoking behaviourSmoking behaviorCHRNA5/A3/B4 gene clusterNicotinic acetylcholine receptor genesRobust association signalsNeuronal nicotinic acetylcholine receptor geneAcetylcholine receptor genesNicotine dependenceCHRNB4 gene clusterSignificant associationB4 gene clusterDistinct lociLung cancer riskRegular tobacco useAssociation resultsNicotine dependence phenotypesDependence phenotypesReceptor geneCotinine levelsRs1948PhenotypeRegular smokingProtective effectCOMT Val158Met modulates subjective responses to intravenous nicotine and cognitive performance in abstinent smokers
Herman AI, Jatlow PI, Gelernter J, Listman JB, Sofuoglu M. COMT Val158Met modulates subjective responses to intravenous nicotine and cognitive performance in abstinent smokers. The Pharmacogenomics Journal 2013, 13: 490-497. PMID: 23459442, PMCID: PMC3675163, DOI: 10.1038/tpj.2013.1.Peer-Reviewed Original ResearchConceptsVal/Val genotypeAbstinent smokersVal genotypeGreater systolic blood pressureOvernight abstinent smokersVal158Met polymorphismSystolic blood pressureDoses of nicotineCatechol-O-methyltransferase (COMT) Val158Met polymorphismVal/ValEuropean American smokersNegative subjective effectsCOMT Val158Met polymorphismBlood pressureSmoking cessationAA smokersRisk factorsAmerican smokersIntravenous nicotineWithdrawal severityOvernight abstinenceSmokersNicotine addictionNicotine useSubjective effects
2012
Increased 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
2011
ACSL6 Is Associated with the Number of Cigarettes Smoked and Its Expression Is Altered by Chronic Nicotine Exposure
Chen J, Brunzell DH, Jackson K, van der Vaart A, Z. J, Payne TJ, Sherva R, Farrer LA, Gejman P, Levinson DF, Holmans P, Aggen SH, Damaj I, Kuo PH, Webb BT, Anton R, Kranzler HR, Gelernter J, Li MD, Kendler KS, Chen X. ACSL6 Is Associated with the Number of Cigarettes Smoked and Its Expression Is Altered by Chronic Nicotine Exposure. PLOS ONE 2011, 6: e28790. PMID: 22205969, PMCID: PMC3243669, DOI: 10.1371/journal.pone.0028790.Peer-Reviewed Original ResearchConceptsACSL6 geneNicotine exposureNicotinic receptor antagonist mecamylaminePrevious schizophrenia studiesChronic nicotine exposureNicotinic receptor activationHippocampus of miceNumber of cigarettesOsmotic mini pumpsQuantity of cigarettesNon-schizophrenic subjectsAssociation of schizophreniaCigarettes SmokedHeavy smokersTobacco smokingNicotine administrationAntagonist mecamylamineControl subjectsIndependent associationTobacco dependenceFTND scoreHigh riskMini pumpsChronic exposureReceptor activationDevelopmental Perspective on the Role of Genes in Smoking Risk
Gelernter J. Developmental Perspective on the Role of Genes in Smoking Risk. Biological Psychiatry 2011, 69: 616-617. PMID: 21397743, PMCID: PMC3252640, DOI: 10.1016/j.biopsych.2011.02.001.Peer-Reviewed Original Research