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
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 ResearchMeSH KeywordsBayes TheoremChromosomal Proteins, Non-HistoneGene-Environment InteractionHumansRisk AssessmentRisk FactorsSuicidal IdeationSuicideTobacco Use DisorderConceptsSuicidal 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
2020
Expanding the genetic architecture of nicotine dependence and its shared genetics with multiple traits
Quach BC, Bray MJ, Gaddis NC, Liu M, Palviainen T, Minica CC, Zellers S, Sherva R, Aliev F, Nothnagel M, Young KA, Marks JA, Young H, Carnes MU, Guo Y, Waldrop A, Sey NYA, Landi MT, McNeil DW, Drichel D, Farrer LA, Markunas CA, Vink JM, Hottenga JJ, Iacono WG, Kranzler HR, Saccone NL, Neale MC, Madden P, Rietschel M, Marazita ML, McGue M, Won H, Winterer G, Grucza R, Dick DM, Gelernter J, Caporaso NE, Baker TB, Boomsma DI, Kaprio J, Hokanson JE, Vrieze S, Bierut LJ, Johnson EO, Hancock DB. Expanding the genetic architecture of nicotine dependence and its shared genetics with multiple traits. Nature Communications 2020, 11: 5562. PMID: 33144568, PMCID: PMC7642344, DOI: 10.1038/s41467-020-19265-z.Peer-Reviewed Original ResearchConceptsGenome-wide significant lociGenome-wide association studiesNearby gene expressionExpression of genesSmoking traitsGenetic architectureSignificant lociGenetic variationMultiple traitsGene expressionAssociation studiesLociTraitsGenetic knowledgeComposite phenotypeUK BiobankExpressionTENM2GNAI1GenesGeneticsVariantsPhenotype
2019
Genome-Wide Meta-Analyses of FTND and TTFC Phenotypes
Chen J, Loukola A, Gillespie NA, Peterson R, Jia P, Riley B, Maes H, Dick DM, Kendler KS, Damaj MI, Miles MF, Zhao Z, Li MD, Vink JM, Minica CC, Willemsen G, Boomsma DI, Qaiser B, Madden PAF, Korhonen T, Jousilahti P, Hällfors J, Gelernter J, Kranzler HR, Sherva R, Farrer L, Maher B, Vanyukov M, Taylor M, Ware JJ, Munafò MR, Lutz SM, Hokanson JE, Gu F, Landi MT, Caporaso NE, Hancock DB, Gaddis NC, Baker TB, Bierut LJ, Johnson EO, Chenoweth M, Lerman C, Tyndale R, Kaprio J, Chen X. Genome-Wide Meta-Analyses of FTND and TTFC Phenotypes. Nicotine & Tobacco Research 2019, 22: 900-909. PMID: 31294817, PMCID: PMC7249921, DOI: 10.1093/ntr/ntz099.Peer-Reviewed Original ResearchConceptsGenome-Wide Meta-AnalysisGene-based analysisChemokine signaling pathwaysGenetic architectureActin cytoskeletonNew lociReceptor recyclingMAPK signalingPathway interactionsBiological pathwaysSignaling pathwaysAxon guidanceNovel pathwayPhenotypeNovel candidatesEuropean ancestryPathwayReplication sampleNetwork analysisReplicationIno80CCytoskeletonCOPB2EndocytosisSORBS2
2018
GWAS and network analysis of co‐occurring nicotine and alcohol dependence identifies significantly associated alleles and network
Xiang B, Yang B, Zhou H, Kranzler H, Gelernter J. GWAS and network analysis of co‐occurring nicotine and alcohol dependence identifies significantly associated alleles and network. American Journal Of Medical Genetics Part B Neuropsychiatric Genetics 2018, 180: 3-11. PMID: 30488612, PMCID: PMC6918694, DOI: 10.1002/ajmg.b.32692.Peer-Reviewed Original ResearchMeSH KeywordsAdultAlcoholismAllelesBlack or African AmericanComorbidityEthanolFemaleG(M2) Activator ProteinGene FrequencyGene Regulatory NetworksGenetic Predisposition to DiseaseGenome-Wide Association StudyHumansMaleMiddle AgedNicotinePolymorphism, Single NucleotideProtein Interaction MapsRisk FactorsTobacco Use DisorderWhite PeopleConceptsGene subnetworksProtein-protein interaction (PPI) network analysisGenome-wide significant variantsInteraction network analysisGene-set analysisFunctional enrichment analysisSignificant SNPsQuantitative lociNerve growth factor pathwayGene enrichmentEnrichment analysisNetwork analysisGenetic traitsGrowth factor pathwaysRisk genesSignificant variantsGenesStudy of AddictionSNPsFactor pathwayGM2AAmphetamine addictionGenetic riskGWASSubnetworksGenome-wide association study identifies glutamate ionotropic receptor GRIA4 as a risk gene for comorbid nicotine dependence and major depression
Zhou H, Cheng Z, Bass N, Krystal JH, Farrer LA, Kranzler HR, Gelernter J. Genome-wide association study identifies glutamate ionotropic receptor GRIA4 as a risk gene for comorbid nicotine dependence and major depression. Translational Psychiatry 2018, 8: 208. PMID: 30287806, PMCID: PMC6172277, DOI: 10.1038/s41398-018-0258-8.Peer-Reviewed Original ResearchConceptsGenome-wide association studiesGenome-wide association study identifiesRisk genesTop risk genesCalcium ion bindingGenomes reference panelFast excitatory synaptic transmissionGenetic risk variantsGenetic basisEnrichment analysisAssociation studiesExome arrayCell adhesionRisk variantsGenesReference panelGenetic riskAMPA-sensitive glutamate receptorsIntronic variantsIon bindingBiological mechanismsConditional analysisGRIA4Excitatory synaptic transmissionSynaptic transmission
2017
Trauma exposure interacts with the genetic risk of bipolar disorder in alcohol misuse of US soldiers
Polimanti R, Kaufman J, Zhao H, Kranzler HR, Ursano RJ, Kessler RC, Stein MB, Gelernter J. Trauma exposure interacts with the genetic risk of bipolar disorder in alcohol misuse of US soldiers. Acta Psychiatrica Scandinavica 2017, 137: 148-156. PMID: 29230810, PMCID: PMC6110087, DOI: 10.1111/acps.12843.Peer-Reviewed Original ResearchConceptsBD polygenic risk scorePolygenic risk scoresAlcohol misuseBipolar disorderTrauma exposurePsychiatric disordersGenetic riskMajor depressive disorderNicotine dependence symptomsSubstance use disordersSchizophrenia polygenic risk scoresVoltage-gated calcium channel activityCalcium channel activityUS Army soldiersBeta2-adrenergic receptorDepressive disorderRisk scoreUse disordersAdrenergic receptorsMental disordersSubstance abuseDisordersDependence symptomsChannel activityExposureGenome-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 cerebellumSex 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
Genetic Relationship between Schizophrenia and Nicotine Dependence
Chen J, Bacanu SA, Yu H, Zhao Z, Jia P, Kendler KS, Kranzler HR, Gelernter J, Farrer L, Minica C, Pool R, Milaneschi Y, Boomsma DI, Penninx BW, Tyndale RF, Ware JJ, Vink JM, Kaprio J, Munafò M, Chen X. Genetic Relationship between Schizophrenia and Nicotine Dependence. Scientific Reports 2016, 6: 25671. PMID: 27164557, PMCID: PMC4862382, DOI: 10.1038/srep25671.Peer-Reviewed Original ResearchConceptsNeuroactive ligand-receptor interaction pathwayGenetic relationshipsEnergy production genesProtein modification genesLong non-coding RNAsNon-coding RNAsMultiple long non-coding RNAsProduction genesModification genesProtein geneInteraction pathwayGenesCalcium signalingP-value thresholdCritical roleRNANeuronal plasticityDifferent hypothesesFurther analysisLong-term potentiationSummary statisticsSignalingTraitsPathwayPlasticityA 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 ResearchMeSH KeywordsAdultCravingFemaleGenetic VariationHumansMaleMiddle AgedNerve Tissue ProteinsPhenotypeReceptors, NicotinicSmokingTobacco Use DisorderYoung AdultConceptsNicotine 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
Genome-wide meta-analysis reveals common splice site acceptor variant in CHRNA4 associated with nicotine dependence
Hancock DB, Reginsson GW, Gaddis NC, Chen X, Saccone NL, Lutz SM, Qaiser B, Sherva R, Steinberg S, Zink F, Stacey SN, Glasheen C, Chen J, Gu F, Frederiksen BN, Loukola A, Gudbjartsson DF, Brüske I, Landi MT, Bickeböller H, Madden P, Farrer L, Kaprio J, Kranzler HR, Gelernter J, Baker TB, Kraft P, Amos CI, Caporaso NE, Hokanson JE, Bierut LJ, Thorgeirsson TE, Johnson EO, Stefansson K. Genome-wide meta-analysis reveals common splice site acceptor variant in CHRNA4 associated with nicotine dependence. Translational Psychiatry 2015, 5: e651-e651. PMID: 26440539, PMCID: PMC4930126, DOI: 10.1038/tp.2015.149.Peer-Reviewed Original ResearchConceptsGenome-wide association studiesEuropean ancestry samplesNonsense-mediated decayWide significant associationsNicotinic receptor subunit geneReceptor subunit genesImportant regulatory propertiesNicotine dependenceSubunit geneAssociation studiesChromosome 20q13Regulatory propertiesLung cancer riskNovel variantsNormal human brainSmoking-related consequencesLung cancerCancer riskFagerström TestCHRNA4Smoking behaviorSignificant associationVariantsGenomeGenesDissecting ancestry genomic background in substance dependence genome-wide association studies
Polimanti R, Yang C, Zhao H, Gelernter J. Dissecting ancestry genomic background in substance dependence genome-wide association studies. Pharmacogenomics 2015, 16: 1487-1498. PMID: 26267224, PMCID: PMC4632979, DOI: 10.2217/pgs.15.91.Peer-Reviewed Original ResearchMeSH KeywordsAlcoholismAlgorithmsAllelesBlack or African AmericanGene FrequencyGene-Environment InteractionGenetic Predisposition to DiseaseGenetic VariationGenome-Wide Association StudyHaplotypesHumansMolecular Sequence AnnotationOpioid-Related DisordersSubstance-Related DisordersTobacco Use DisorderWhite PeopleConceptsGenome-wide association studiesGenomic backgroundFunctional allelesAssociation studiesCommon functional allelesWide association studyLocal haplotype structureGenetic lociSD traitHaplotype structureRelevant genesGenesLociInteractive partnersPopulation diversityHigh frequency differencesAllelesFrequency differenceGenomeTraitsDiversityRoleVariants
2014
Genome-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 effectA Complex Interplay between Personality Domains, Marital Status and a Variant in CHRNA5 on the Risks of Cocaine, Nicotine Dependences and Cocaine-Induced Paranoia
Zayats T, Yang BZ, Xie P, Poling J, Farrer LA, Gelernter J. A Complex Interplay between Personality Domains, Marital Status and a Variant in CHRNA5 on the Risks of Cocaine, Nicotine Dependences and Cocaine-Induced Paranoia. PLOS ONE 2013, 8: e49368. PMID: 23308091, PMCID: PMC3538653, DOI: 10.1371/journal.pone.0049368.Peer-Reviewed Original Research
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
Childhood 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 effectsMen