Featured Publications
Genome-wide association study of post-traumatic stress disorder reexperiencing symptoms in >165,000 US veterans
Gelernter J, Sun N, Polimanti R, Pietrzak R, Levey DF, Bryois J, Lu Q, Hu Y, Li B, Radhakrishnan K, Aslan M, Cheung KH, Li Y, Rajeevan N, Sayward F, Harrington K, Chen Q, Cho K, Pyarajan S, Sullivan PF, Quaden R, Shi Y, Hunter-Zinck H, Gaziano JM, Concato J, Zhao H, Stein MB. Genome-wide association study of post-traumatic stress disorder reexperiencing symptoms in >165,000 US veterans. Nature Neuroscience 2019, 22: 1394-1401. PMID: 31358989, PMCID: PMC6953633, DOI: 10.1038/s41593-019-0447-7.Peer-Reviewed Original ResearchConceptsGenome-wide association studiesAssociation studiesHigh linkage disequilibrium regionLinkage disequilibrium regionWide association studyDisequilibrium regionBioinformatics analysisTranscriptomic profilesMillion Veteran ProgramChromosome 17Genetic risk factorsNew insightsUK Biobank dataReexperiencing of traumaStriatal medium spiny neuronsVeteran ProgramSignificant regionsCAMKVEuropean AmericansBiobank dataMedium spiny neuronsTCF4BiologyKANSL1African American cohort
2024
A phenome-wide association and Mendelian randomisation study of alcohol use variants in a diverse cohort comprising over 3 million individuals
Jennings M, Martínez-Magaña J, Courchesne-Krak N, Cupertino R, Vilar-Ribó L, Bianchi S, Hatoum A, Atkinson E, Giusti-Rodriguez P, Montalvo-Ortiz J, Gelernter J, Artigas M, 23andMe I, Aslibekyan S, Auton A, Babalola E, Bell R, Bielenberg J, Bryc K, Bullis E, Coker D, Partida G, Dhamija D, Das S, Elson S, Eriksson N, Filshtein T, Fitch A, Fletez-Brant K, Fontanillas P, Freyman W, Granka J, Heilbron K, Hernandez A, Hicks B, Hinds D, Jewett E, Jiang Y, Kukar K, Kwong A, Lin K, Llamas B, Lowe M, McCreight J, McIntyre M, Micheletti S, Moreno M, Nandakumar P, Nguyen D, Noblin E, O'Connell J, Petrakovitz A, Poznik G, Reynoso A, Schumacher M, Shastri A, Shelton J, Shi J, Shringarpure S, Su Q, Tat S, Tchakouté C, Tran V, Tung J, Wang X, Wang W, Weldon C, Wilton P, Wong C, Elson S, Edenberg H, Fontanillas P, Palmer A, Sanchez-Roige S. A phenome-wide association and Mendelian randomisation study of alcohol use variants in a diverse cohort comprising over 3 million individuals. EBioMedicine 2024, 103: 105086. PMID: 38580523, PMCID: PMC11121167, DOI: 10.1016/j.ebiom.2024.105086.Peer-Reviewed Original ResearchConceptsMultiple domains of healthDomains of healthEffects of alcohol consumptionAlcohol consumptionHealth outcomesPhenome-wide association studyAlcohol-related behaviorsCardio-metabolic healthPotential causal effectMendelian randomisation studiesGenome-wide association studiesPhenome-wide associationMR analysisPheWAS associationsMultiple domainsHypothesis-free approachPreventive medicineDiverse cohortPheWASAssociation studiesHealthReproductive healthAlcohol behaviorConsequences of drinkingEuropean cohort
2023
Positive personality traits moderate persistent high alcohol consumption, determined by polygenic risk in U.S. military veterans: results from a 10-year, population-based, observational cohort study
Na P, Zhou H, Montalvo-Ortiz J, Cabrera-Mendoza B, Petrakis I, Krystal J, Polimanti R, Gelernter J, Pietrzak R. Positive personality traits moderate persistent high alcohol consumption, determined by polygenic risk in U.S. military veterans: results from a 10-year, population-based, observational cohort study. Psychological Medicine 2023, 53: 7893-7901. PMID: 37642191, DOI: 10.1017/s003329172300199x.Peer-Reviewed Original Research
2021
Psychosocial moderators of polygenic risk for suicidal ideation: Results from a 7-year population-based, prospective cohort study of U.S. veterans
Na PJ, De Angelis F, Nichter B, Wendt FR, Krystal JH, Southwick SM, Levey DF, Gelernter J, Polimanti R, Pietrzak RH. Psychosocial moderators of polygenic risk for suicidal ideation: Results from a 7-year population-based, prospective cohort study of U.S. veterans. Molecular Psychiatry 2021, 27: 1068-1074. PMID: 34725455, DOI: 10.1038/s41380-021-01352-2.Peer-Reviewed Original ResearchMeSH KeywordsCohort StudiesGenome-Wide Association StudyHumansProspective StudiesSuicidal IdeationVeteransConceptsNew-onset suicidal ideationChronic suicidal ideationPolygenic risk scoresSuicidal ideationProspective cohort studyPolygenic riskRisk of SIHigher baseline levelsHigh polygenic riskModifiable psychosocial factorsSocial supportDispositional optimismCohort studyProspective cohortUS veteransSymptomatic courseRisk scorePsychosocial factorsGenome-wide association studiesBaseline levelsU.S. veteransSuicidal thoughtsPsychosocial moderatorsStudy periodLarge genome-wide association studies
2020
Transcriptomic organization of the human brain in post-traumatic stress disorder
Girgenti MJ, Wang J, Ji D, Cruz DA, Stein M, Gelernter J, Young K, Huber B, Williamson D, Friedman M, Krystal J, Zhao H, Duman R. Transcriptomic organization of the human brain in post-traumatic stress disorder. Nature Neuroscience 2020, 24: 24-33. PMID: 33349712, DOI: 10.1038/s41593-020-00748-7.Peer-Reviewed Original ResearchMeSH KeywordsAdultAutopsyBrain ChemistryCohort StudiesDepressive Disorder, MajorFemaleGene Expression RegulationGene Regulatory NetworksGenetic Predisposition to DiseaseGenome-Wide Association StudyHumansInterneuronsMaleMiddle AgedNerve Tissue ProteinsSex CharacteristicsStress Disorders, Post-TraumaticTranscriptomeYoung AdultConceptsGenome-wide association studiesSignificant gene networksDifferential gene expressionSystems-level evidenceSignificant genetic liabilityMajor depressive disorder cohortGene networksTranscriptomic organizationTranscriptomic landscapeDownregulated setsGenomic networksGene expressionAssociation studiesMolecular determinantsExtensive remodelingGenotype dataSexual dimorphismSignificant divergenceMolecular profileNetwork analysisELFN1TranscriptsDimorphismPostmortem tissueDivergenceGenome-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 AmericansConsortiumPolygenic risk for autism spectrum disorder associates with anger recognition in a neurodevelopment-focused phenome-wide scan of unaffected youths from a population-based cohort
Wendt FR, Carvalho CM, Pathak GA, Gelernter J, Polimanti R. Polygenic risk for autism spectrum disorder associates with anger recognition in a neurodevelopment-focused phenome-wide scan of unaffected youths from a population-based cohort. PLOS Genetics 2020, 16: e1009036. PMID: 32941431, PMCID: PMC7523983, DOI: 10.1371/journal.pgen.1009036.Peer-Reviewed Original ResearchGenotyping Array Design and Data Quality Control in the Million Veteran Program
Hunter-Zinck H, Shi Y, Li M, Gorman BR, Ji SG, Sun N, Webster T, Liem A, Hsieh P, Devineni P, Karnam P, Gong X, Radhakrishnan L, Schmidt J, Assimes TL, Huang J, Pan C, Humphries D, Brophy M, Moser J, Muralidhar S, Huang GD, Przygodzki R, Concato J, Gaziano JM, Gelernter J, O’Donnell C, Hauser ER, Zhao H, O’Leary T, Program V, Tsao PS, Pyarajan S. Genotyping Array Design and Data Quality Control in the Million Veteran Program. American Journal Of Human Genetics 2020, 106: 535-548. PMID: 32243820, PMCID: PMC7118558, DOI: 10.1016/j.ajhg.2020.03.004.Peer-Reviewed Original ResearchConceptsMillion Veteran ProgramGenome-wide association studiesGenome-wide scanHigh-quality genotypesArray-based genotypingWhole-genome sequencingNon-European individualsAssociation studiesGenetic markersOmics assaysAxiom arrayDownstream analysisVeteran ProgramCommon variantsGenetic associationAfrican American ancestryAmerican ancestryMVP cohortRare variantsSingle assayDiversityFurther data releasesLarge biobanksPromising resourceQuality control
2019
Epigenome‐Wide DNA Methylation Association Analysis Identified Novel Loci in Peripheral Cells for Alcohol Consumption Among European American Male Veterans
Xu K, Montalvo‐Ortiz J, Zhang X, Southwick SM, Krystal JH, Pietrzak RH, Gelernter J. Epigenome‐Wide DNA Methylation Association Analysis Identified Novel Loci in Peripheral Cells for Alcohol Consumption Among European American Male Veterans. Alcohol Clinical And Experimental Research 2019, 43: 2111-2121. PMID: 31386212, PMCID: PMC9377208, DOI: 10.1111/acer.14168.Peer-Reviewed Original ResearchConceptsEpigenome-wide association studiesDNA methylationCpG sitesSignificant CpG sitesHigh-density methylation arraysNovel DNA methylation sitesNew CpG sitesDNA methylation sitesEpigenome-wide DNA methylationAmino acid transportIndividual CpG sitesGene lengthPeripheral cellsNovel lociDNA sitesKEGG databaseMethylation sitesEnrichment analysisMethylation arraysAssociation studiesAssociation analysisGenesMethylationAcid transportFalse discovery rateApolipoprotein E gene polymorphism, posttraumatic stress disorder, and cognitive function in older U.S. veterans: Results from the National Health and Resilience in Veterans Study
Averill LA, Abdallah CG, Levey DF, Han S, Harpaz‐Rotem I, Kranzler HR, Southwick SM, Krystal JH, Gelernter J, Pietrzak RH. Apolipoprotein E gene polymorphism, posttraumatic stress disorder, and cognitive function in older U.S. veterans: Results from the National Health and Resilience in Veterans Study. Depression And Anxiety 2019, 36: 834-845. PMID: 31385647, DOI: 10.1002/da.22912.Peer-Reviewed Original ResearchConceptsPosttraumatic stress disorderExecutive functionCognitive functioningStress disorderΕ4 carrier statusΕ4 carriersVeterans StudyCognitive dysfunctionAttention/concentrationGreater cognitive difficultiesLower cognitive functioningOlder U.S. veteransΕ4 allele carrier statusPerseverative errorsCognitive difficultiesReplication sampleCarrier statusCognitive functionImportance of assessingNational HealthCognitive declinePredictive effectApolipoprotein E gene polymorphismE gene polymorphismΕ4 allele carriersPatterns and Correlates of Prescription Opioid Receipt Among US Veterans: A National, 18-Year Observational Cohort Study
Rentsch CT, Edelman EJ, Justice AC, Marshall BDL, Xu K, Smith AH, Crystal S, Gaither JR, Gordon AJ, Smith RV, Kember RL, Polimanti R, Gelernter J, Fiellin DA, Tate JP, Kranzler HR, Becker WC. Patterns and Correlates of Prescription Opioid Receipt Among US Veterans: A National, 18-Year Observational Cohort Study. AIDS And Behavior 2019, 23: 3340-3349. PMID: 31317364, PMCID: PMC7344341, DOI: 10.1007/s10461-019-02608-3.Peer-Reviewed Original ResearchConceptsOpioid use disorderOpioid receiptCohort studyLong-term opioid therapyVeterans Aging Cohort StudyLatent growth mixture modellingPrescription opioid receiptObservational cohort studyAging Cohort StudyOpioid therapyCause mortalityHepatitis COpioid prescriptionsFuture prevention researchOUD diagnosisGrowth mixture modellingUS veteransHigh prevalenceLow doseHigh incidenceUse disordersPrevention researchGenetic discoveriesReceiptHIVGenome-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 analysisReplicationIno80CCytoskeletonCOPB2EndocytosisSORBS2Multivariate Analyses Reveal Biological Components Related to Neuronal Signaling and Immunity Mediating Electroencephalograms Abnormalities in Alcohol‐Dependent Individuals from the Collaborative Study on the Genetics of Alcoholism Cohort
Meda SA, Narayanan B, Chorlian D, Meyers JL, Gelernter J, Hesselbrock V, Bauer L, Calhoun VD, Porjesz B, Pearlson G. Multivariate Analyses Reveal Biological Components Related to Neuronal Signaling and Immunity Mediating Electroencephalograms Abnormalities in Alcohol‐Dependent Individuals from the Collaborative Study on the Genetics of Alcoholism Cohort. Alcohol Clinical And Experimental Research 2019, 43: 1462-1477. PMID: 31009096, DOI: 10.1111/acer.14063.Peer-Reviewed Original ResearchMeSH KeywordsAdolescentAdultAlcoholismCase-Control StudiesCohort StudiesElectroencephalographyFemaleGenetic Association StudiesGenome-Wide Association StudyGenotypeHumansMaleMiddle AgedMultigene FamilyNeuronsPhenotypePolymorphism, Single NucleotideSignal TransductionSubstance-Related DisordersWhite PeopleYoung AdultConceptsGenetic clustersSingle nucleotide polymorphism dataSignificant genotype-phenotype associationsNucleotide polymorphism dataLipid/cholesterol metabolismLinkage-based analysisGenotype-phenotype relationshipsGenotype-phenotype associationsGene clusterCell signalingPolymorphism dataMolecular mechanismsAlcoholism datasetGenomewide associationTop hitsGenetic componentNeuronal signalingGeneticsSignalingBiological componentsRelationship pairsCholesterol metabolismNeurogenesisSNP componentParallel independent component analysisEvidence of causal effect of major depression on alcohol dependence: findings from the psychiatric genomics consortium
Polimanti R, Peterson RE, Ong JS, MacGregor S, Edwards AC, Clarke TK, Frank J, Gerring Z, Gillespie NA, Lind PA, Maes HH, Martin NG, Mbarek H, Medland SE, Streit F, Agrawal A, Edenberg H, Kendler K, Lewis C, Sullivan P, Wray N, Gelernter J, Derks E. Evidence of causal effect of major depression on alcohol dependence: findings from the psychiatric genomics consortium. Psychological Medicine 2019, 49: 1218-1226. PMID: 30929657, PMCID: PMC6565601, DOI: 10.1017/s0033291719000667.Peer-Reviewed Original ResearchConceptsMajor depressionAlcohol dependenceAlcohol consumptionPsychiatric Genomics ConsortiumImportant public health concernMendelian randomizationPublic health concernUK BiobankClinical associationsHealth concernMR analysisReverse causationCausal roleNon-significant resultsCausal relationshipGenetic liabilityGenomics ConsortiumLinkage disequilibrium score regressionIntervention efforts
2018
Discovery of the first genome-wide significant risk loci for attention deficit/hyperactivity disorder
Demontis D, Walters RK, Martin J, Mattheisen M, Als TD, Agerbo E, Baldursson G, Belliveau R, Bybjerg-Grauholm J, Bækvad-Hansen M, Cerrato F, Chambert K, Churchhouse C, Dumont A, Eriksson N, Gandal M, Goldstein JI, Grasby KL, Grove J, Gudmundsson OO, Hansen CS, Hauberg ME, Hollegaard MV, Howrigan DP, Huang H, Maller JB, Martin AR, Martin NG, Moran J, Pallesen J, Palmer DS, Pedersen CB, Pedersen MG, Poterba T, Poulsen JB, Ripke S, Robinson EB, Satterstrom FK, Stefansson H, Stevens C, Turley P, Walters GB, Won H, Wright MJ, Andreassen O, Asherson P, Burton C, Boomsma D, Cormand B, Dalsgaard S, Franke B, Gelernter J, Geschwind D, Hakonarson H, Haavik J, Kranzler H, Kuntsi J, Langley K, Lesch K, Middeldorp C, Reif A, Rohde L, Roussos P, Schachar R, Sklar P, Sonuga-Barke E, Sullivan P, Thapar A, Tung J, Waldman I, Medland S, Stefansson K, Nordentoft M, Hougaard D, Werge T, Mors O, Mortensen P, Daly M, Faraone S, Børglum A, Neale B. Discovery of the first genome-wide significant risk loci for attention deficit/hyperactivity disorder. Nature Genetics 2018, 51: 63-75. PMID: 30478444, PMCID: PMC6481311, DOI: 10.1038/s41588-018-0269-7.Peer-Reviewed Original ResearchConceptsGenome-wide significant risk lociFunction intolerant genesGenome-wide associationSignificant risk lociGenome-wide significanceAttention-deficit/hyperactivity disorderCommon genetic variantsGenomic regionsIntolerant genesIndependent lociRegulatory marksHeritable traitRisk lociDeficit/hyperactivity disorderGenetic variantsGenetic overlapStudy-specific differencesLociHyperactivity disorderImportant new informationUnderlying biologyChildhood behavioral disordersVariantsStrong concordanceGWASGenetic influences on eight psychiatric disorders based on family data of 4 408 646 full and half-siblings, and genetic data of 333 748 cases and controls
Pettersson E, Lichtenstein P, Larsson H, Song J, Agrawal A, Børglum A, Bulik C, Daly M, Davis L, Demontis D, Edenberg H, Grove J, Gelernter J, Neale B, Pardiñas A, Stahl E, Walters J, Walters R, Sullivan P, Posthuma D, Polderman T. Genetic influences on eight psychiatric disorders based on family data of 4 408 646 full and half-siblings, and genetic data of 333 748 cases and controls. Psychological Medicine 2018, 49: 1166-1173. PMID: 30221610, PMCID: PMC6421104, DOI: 10.1017/s0033291718002039.Peer-Reviewed Original ResearchMeSH KeywordsAdultAlcoholismAnorexia NervosaAttention Deficit Disorder with HyperactivityAutism Spectrum DisorderBipolar DisorderCase-Control StudiesCohort StudiesDepressive Disorder, MajorFamilyFemaleGene-Environment InteractionGenotypeHumansMaleMental DisordersObsessive-Compulsive DisorderQuantitative Trait, HeritableSchizophreniaSchizophrenic PsychologySiblingsSwedenAdverse Childhood Experiences, Epigenetic Measures, and Obesity in Youth
Kaufman J, Montalvo-Ortiz JL, Holbrook H, O'Loughlin K, Orr C, Kearney C, Yang BZ, Wang T, Zhao H, Althoff R, Garavan H, Gelernter J, Hudziak J. Adverse Childhood Experiences, Epigenetic Measures, and Obesity in Youth. The Journal Of Pediatrics 2018, 202: 150-156.e3. PMID: 30177354, PMCID: PMC6513669, DOI: 10.1016/j.jpeds.2018.06.051.Peer-Reviewed Original ResearchConceptsBody mass indexAdverse childhood experiencesMass indexIndices of obesityAssessment of obesityChildhood experiencesFuture longitudinal studiesObesity riskHealth burdenPsychiatric outcomesSecond cohortObesityNovel interventionsCohortEarly adversityCross-sectional measuresEpigenetic predictorsLongitudinal studySaliva DNAEpigenetic measuresWhole genome testingDiscovery sampleReplication sampleChildrenRiskTranslational studies support a role for serotonin 2B receptor (HTR2B) gene in aggression-related cannabis response
Montalvo-Ortiz JL, Zhou H, D’Andrea I, Maroteaux L, Lori A, Smith A, Ressler KJ, Nuñez YZ, Farrer LA, Zhao H, Kranzler HR, Gelernter J. Translational studies support a role for serotonin 2B receptor (HTR2B) gene in aggression-related cannabis response. Molecular Psychiatry 2018, 23: 2277-2286. PMID: 29875475, PMCID: PMC6281782, DOI: 10.1038/s41380-018-0077-6.Peer-Reviewed Original ResearchConceptsGrady Trauma ProjectAfrican AmericansWild-type miceReceptor geneEffects of cannabisWide significant risk lociResident-intruder paradigmImpulsivity/aggressionConcordant findingsTHC administrationKnockout miceTranslational studiesAA subjectsCannabis useStudy designTrauma ProjectAdverse effectsMiceCannabisAggressive behaviorEuropean AmericansNominal associationAdverse consequencesGenome-wide association study (GWAS) designRisk lociGenome-wide analysis of insomnia disorder
Stein MB, McCarthy MJ, Chen CY, Jain S, Gelernter J, He F, Heeringa SG, Kessler RC, Nock MK, Ripke S, Sun X, Wynn GH, Smoller JW, Ursano RJ. Genome-wide analysis of insomnia disorder. Molecular Psychiatry 2018, 23: 2238-2250. PMID: 29520036, PMCID: PMC6129221, DOI: 10.1038/s41380-018-0033-5.Peer-Reviewed Original ResearchMeSH KeywordsAdultBlack or African AmericanCohort StudiesDepressive Disorder, MajorDiabetes Mellitus, Type 2FemaleGenetic Predisposition to DiseaseGenome-Wide Association StudyHispanic or LatinoHumansMaleMilitary PersonnelMultifactorial InheritancePolymorphism, Single NucleotideRisk FactorsSleep Initiation and Maintenance DisordersWhite PeopleYoung AdultConceptsGenome-wide association studiesAncestral groupsGenome-wide significant lociGenome-wide analysisGene-based associationSignificant gene-based associationsSleep-related traitsGenetic risk variantsSignificant lociChr 7Heritable basisChr 9Association studiesRisk variantsGenetic contributionLociUK BiobankMetabolic diseasesRFX3Genetic riskTraitsHeritabilityPolygenic riskTwin studiesDeleterious health effects
2017
Genome-wide association study identifies a novel locus for cannabis dependence
Agrawal A, Chou YL, Carey CE, Baranger DAA, Zhang B, Sherva R, Wetherill L, Kapoor M, Wang JC, Bertelsen S, Anokhin AP, Hesselbrock V, Kramer J, Lynskey MT, Meyers JL, Nurnberger JI, Rice JP, Tischfield J, Bierut LJ, Degenhardt L, Farrer LA, Gelernter J, Hariri AR, Heath AC, Kranzler HR, Madden PAF, Martin NG, Montgomery GW, Porjesz B, Wang T, Whitfield JB, Edenberg HJ, Foroud T, Goate AM, Bogdan R, Nelson EC. Genome-wide association study identifies a novel locus for cannabis dependence. Molecular Psychiatry 2017, 23: 1293-1302. PMID: 29112194, PMCID: PMC5938138, DOI: 10.1038/mp.2017.200.Peer-Reviewed Original ResearchMeSH KeywordsAdultAllelesBlack or African AmericanCannabisCase-Control StudiesChromosomes, Human, Pair 10Cohort StudiesFemaleGene FrequencyGenetic Predisposition to DiseaseGenome-Wide Association StudyGenotypeHumansMaleMarijuana AbuseMiddle AgedPhenotypePolymorphism, Single NucleotideWhite PeopleYoung AdultConceptsWide significant lociSingle nucleotide polymorphismsSignificant lociGenome-wide significant lociGenome-wide association study dataGenome-wide association studiesAssociation study dataCorrelated single-nucleotide polymorphismsNovel lociTranscription factorsChromosome 10Association studiesModerate heritabilityNovel regionLociBiological contributionEA college studentsMinor alleleEuropean descentH3K4me1Criterion countsHeritabilityPhenotypeEnhancerIndependent cohort