2023
Polygenic risk score for problematic alcohol use predicts heavy drinking and alcohol use disorder symptoms in young adulthood after accounting for adolescent alcohol use and parental alcohol use disorder
Wang F, Hicks B, Zhou H, Kranzler H, Gelernter J, Zucker R. Polygenic risk score for problematic alcohol use predicts heavy drinking and alcohol use disorder symptoms in young adulthood after accounting for adolescent alcohol use and parental alcohol use disorder. Drug And Alcohol Dependence 2023, 248: 109909. PMID: 37163864, PMCID: PMC11013565, DOI: 10.1016/j.drugalcdep.2023.109909.Peer-Reviewed Original Research
2020
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
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 Research
2019
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
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 analysisGenome-wide Association Study of Maximum Habitual Alcohol Intake in >140,000 U.S. European and African American Veterans Yields Novel Risk Loci
Gelernter J, Sun N, Polimanti R, Pietrzak RH, Levey DF, Lu Q, Hu Y, Li B, Radhakrishnan K, Aslan M, Cheung KH, Li Y, Rajeevan N, Sayward F, Harrington K, Chen Q, Cho K, Honerlaw J, Pyarajan S, Lencz T, Quaden R, Shi Y, Hunter-Zinck H, Gaziano JM, Kranzler HR, Concato J, Zhao H, Stein MB, Program D, Program M. Genome-wide Association Study of Maximum Habitual Alcohol Intake in >140,000 U.S. European and African American Veterans Yields Novel Risk Loci. Biological Psychiatry 2019, 86: 365-376. PMID: 31151762, PMCID: PMC6919570, DOI: 10.1016/j.biopsych.2019.03.984.Peer-Reviewed Original ResearchConceptsAdditional genome-wide significant lociRisk lociWide association study (GWAS) analysisAssociation studiesGenome-wide significant lociGenome-wide association studiesGenetic correlationsWide association studyNovel risk lociAlcohol-related traitsStrong statistical supportSmoking-related traitsAdditional genomesSignificant lociPancreatic delta cellsChromosome 4Chromosome 11Protein productsChromosome 8Quantitative phenotypesMillion Veteran ProgramVeterans Affairs Million Veteran ProgramLociCell typesChromosome 17Genomics of posttraumatic stress disorder in veterans: Methods and rationale for Veterans Affairs Cooperative Study #575B
Radhakrishnan K, Aslan M, Harrington KM, Pietrzak RH, Huang G, Muralidhar S, Cho K, Quaden R, Gagnon D, Pyarajan S, Sun N, Zhao H, Gaziano M, Concato J, Stein MB, Gelernter J. Genomics of posttraumatic stress disorder in veterans: Methods and rationale for Veterans Affairs Cooperative Study #575B. International Journal Of Methods In Psychiatric Research 2019, 28: e1767. PMID: 30767326, PMCID: PMC6877159, DOI: 10.1002/mpr.1767.Peer-Reviewed Original ResearchMeSH KeywordsAdolescentAdultAgedAged, 80 and overAlgorithmsCase-Control StudiesFemaleGenetic Predisposition to DiseaseGenomicsHumansInterviews as TopicMaleMiddle AgedPolymorphism, Single NucleotidePsychiatric Status Rating ScalesStress Disorders, Post-TraumaticSurveys and QuestionnairesUnited StatesUnited States Department of Veterans AffairsVeteransYoung Adult
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 concordanceGWASAdverse 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 sampleChildrenRiskGWAS of lifetime cannabis use reveals new risk loci, genetic overlap with psychiatric traits, and a causal effect of schizophrenia liability
Pasman JA, Verweij KJH, Gerring Z, Stringer S, Sanchez-Roige S, Treur JL, Abdellaoui A, Nivard MG, Baselmans BML, Ong JS, Ip HF, van der Zee MD, Bartels M, Day FR, Fontanillas P, Elson SL, the 23andMe Research Team, de Wit H, Davis LK, MacKillop J, The Substance Use Disorders Working Group of the Psychiatric Genomics Consortium, International Cannabis Consortium, Derringer JL, Branje SJT, Hartman CA, Heath AC, van Lier PAC, Madden PAF, Mägi R, Meeus W, Montgomery GW, Oldehinkel AJ, Pausova Z, Ramos-Quiroga JA, Paus T, Ribases M, Kaprio J, Boks MPM, Bell JT, Spector TD, Gelernter J, Boomsma DI, Martin NG, MacGregor S, Perry JRB, Palmer AA, Posthuma D, Munafò MR, Gillespie NA, Derks EM, Vink JM. GWAS of lifetime cannabis use reveals new risk loci, genetic overlap with psychiatric traits, and a causal effect of schizophrenia liability. Nature Neuroscience 2018, 21: 1161-1170. PMID: 30150663, PMCID: PMC6386176, DOI: 10.1038/s41593-018-0206-1.Peer-Reviewed Original ResearchMeSH KeywordsAdolescentAdultAgedAged, 80 and overCell Adhesion MoleculesDatabases, GeneticFemaleGene Expression RegulationGenetic Predisposition to DiseaseGenome-Wide Association StudyGenotypeHumansMaleMarijuana AbuseMendelian Randomization AnalysisMental HealthMiddle AgedPolymorphism, Single NucleotideRisk-TakingSchizophreniaYoung AdultConceptsGenome-wide association studiesNew risk lociLarge genome-wide association studiesGene-based testsIndependent single nucleotide polymorphismsDifferent expression levelsSignificant genetic correlationsHealth-related traitsSingle nucleotide polymorphismsEtiology of cannabisHeritable traitRisk lociSignificant genesAssociation studiesGenetic correlationsPsychiatric traitsGenetic variantsNucleotide polymorphismsGenetic overlapExpression levelsTraitsGenesNew insightsSchizophrenia riskMendelian randomization analysisGenome‐wide association meta‐analysis of age at first cannabis use
Minică CC, Verweij KJH, van der Most P, Mbarek H, Bernard M, van Eijk K, Lind PA, Liu MZ, Maciejewski DF, Palviainen T, Sánchez‐Mora C, Sherva R, Taylor M, Walters RK, Abdellaoui A, Bigdeli TB, Branje SJT, Brown SA, Casas M, Corley RP, Davey‐Smith G, Davies GE, Ehli EA, Farrer L, Fedko IO, Garcia‐Martínez I, Gordon SD, Hartman CA, Heath AC, Hickie IB, Hickman M, Hopfer CJ, Hottenga JJ, Kahn RS, Kaprio J, Korhonen T, Kranzler HR, Krauter K, van Lier P, Madden PAF, Medland SE, Neale MC, Meeus WHJ, Montgomery GW, Nolte IM, Oldehinkel AJ, Pausova Z, Ramos‐Quiroga J, Richarte V, Rose RJ, Shin J, Stallings MC, Wall TL, Ware JJ, Wright MJ, Zhao H, Koot HM, Paus T, Hewitt JK, Ribasés M, Loukola A, Boks MP, Snieder H, Munafò MR, Gelernter J, Boomsma DI, Martin NG, Gillespie NA, Vink JM, Derks EM. Genome‐wide association meta‐analysis of age at first cannabis use. Addiction 2018, 113: 2073-2086. PMID: 30003630, PMCID: PMC7087375, DOI: 10.1111/add.14368.Peer-Reviewed Original ResearchConceptsGenome-wide associationSingle nucleotide polymorphismsLinkage disequilibriumTwin-based heritabilityGene-based testsHigh linkage disequilibriumATPase geneWide associationATP2C2 geneChromosome 16Heritability analysisHeritability of ageGenetic variantsNucleotide polymorphismsDiscovery sampleHeritabilityGenesATP2C2Replication sampleEnvironmental factorsRole of calciumIdentified associationsFirst cannabis useFirst cannabisATP2B2Methylation in OTX2 and related genes, maltreatment, and depression in children
Kaufman J, Wymbs NF, Montalvo-Ortiz JL, Orr C, Albaugh MD, Althoff R, O’Loughlin K, Holbrook H, Garavan H, Kearney C, Yang BZ, Zhao H, Peña C, Nestler EJ, Lee RS, Mostofsky S, Gelernter J, Hudziak J. Methylation in OTX2 and related genes, maltreatment, and depression in children. Neuropsychopharmacology 2018, 43: 2204-2211. PMID: 30089883, PMCID: PMC6135753, DOI: 10.1038/s41386-018-0157-y.Peer-Reviewed Original ResearchConceptsMouse modelStress-related depressive disordersResting-state functional connectivity dataResting-state functional MRI dataDepressive-like behaviorEarly life stressSubset of childrenDNA specimensMedial frontal cortexPeripheral markersMeasures of depressionHomeobox 2 geneSubcallosal gyrusFunctional connectivity dataDepressive disorderFrontal cortexChild adversityMultiple molecular toolsFunctional MRI dataFrontal poleLarger studyFunctional connectivitySaliva samplesBilateral regionsUnbiased transcriptomics
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 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 sampleTraitsGenetic and psychosocial predictors of alcohol use trajectories among disaster‐exposed adolescents
Bountress K, Danielson CK, Williamson V, Vladmirov V, Gelernter J, Ruggiero K, Amstadter A. Genetic and psychosocial predictors of alcohol use trajectories among disaster‐exposed adolescents. American Journal On Addictions 2017, 26: 623-631. PMID: 28594439, PMCID: PMC5627968, DOI: 10.1111/ajad.12575.Peer-Reviewed Original ResearchMeSH KeywordsAdaptation, PsychologicalAdolescentAdolescent BehaviorAlcohol DrinkingDisastersFemaleGenetic Association StudiesGenome-Wide Association StudyHumansMalePsychological TechniquesRisk FactorsSocial SupportSouth CarolinaStress Disorders, Post-TraumaticStress, PsychologicalTrauma Severity IndicesConceptsDisaster-exposed adolescentsAdolescent alcohol misuseAlcohol use trajectoriesPTSD symptomsEmotional supportAlcohol misuseDisaster exposurePosttraumatic stress disorder (PTSD) symptomsAdolescent PTSD symptomsMore PTSD symptomsAlcohol useUse trajectoriesAlcohol use/misuseAlcohol use outcomesCommunity/familyUse/misuseWeb-based interventionDisorder symptomsPsychosocial predictorsSeverity of exposureUse outcomesAdolescentsGenetic riskCurrent studyLong-term adverse outcomesA genome-wide gene-by-trauma interaction study of alcohol misuse in two independent cohorts identifies PRKG1 as a risk locus
Polimanti R, Kaufman J, Zhao H, Kranzler HR, Ursano RJ, Kessler RC, Gelernter J, Stein MB. A genome-wide gene-by-trauma interaction study of alcohol misuse in two independent cohorts identifies PRKG1 as a risk locus. Molecular Psychiatry 2017, 23: 154-160. PMID: 28265120, PMCID: PMC5589475, DOI: 10.1038/mp.2017.24.Peer-Reviewed Original ResearchConceptsGenome-wide interaction studyGene Ontology (GO) enrichment analysisOntology enrichment analysisProtein kinase 1Protein regulationSame effect directionCyclic GMP-dependent protein kinase 1Circadian rhythm regulationRisk lociWide geneEnrichment analysisInteraction studiesKinase 1Individual genetic riskPsychiatric geneticsCalcium-activated potassium channelsGenesLociPRKG1Potassium channelsEffect directionRhythm regulationAlcohol use problemsRegulationAlcohol misuse
2016
Alcohol Misuse and Co‐Occurring Mental Disorders Among New Soldiers in the U.S. Army
Stein MB, Campbell‐Sills L, Gelernter J, He F, Heeringa SG, Nock MK, Sampson NA, Sun X, Jain S, Kessler RC, Ursano RJ, Collaborators S. Alcohol Misuse and Co‐Occurring Mental Disorders Among New Soldiers in the U.S. Army. Alcohol Clinical And Experimental Research 2016, 41: 139-148. PMID: 27883222, PMCID: PMC5205544, DOI: 10.1111/acer.13269.Peer-Reviewed Original ResearchConceptsAlcohol use disorderBinge drinkingAlcohol misuseMental disordersHeavy drinkingAdverse outcomesAssociation of AUDSuicidal ideationProbable alcohol use disorderOnset of AUDSubstance abuse/dependencePrior alcohol use disordersPrior mental disordersLifetime alcohol use disorderStrong bidirectional associationLifetime alcohol consumptionAbuse/dependenceCohort of soldiersBasic combat trainingDiscrete-time survival analysisOverall burdenUse disordersAlcohol consumptionDrug useSurvival analysisCross-Phenotype Polygenic Risk Score Analysis of Persistent Post-Concussive Symptoms in U.S. Army Soldiers with Deployment-Acquired Traumatic Brain Injury
Polimanti R, Chen CY, Ursano RJ, Heeringa SG, Jain S, Kessler RC, Nock MK, Smoller JW, Sun X, Gelernter J, Stein MB. Cross-Phenotype Polygenic Risk Score Analysis of Persistent Post-Concussive Symptoms in U.S. Army Soldiers with Deployment-Acquired Traumatic Brain Injury. Journal Of Neurotrauma 2016, 34: 781-789. PMID: 27439997, PMCID: PMC5314978, DOI: 10.1089/neu.2016.4550.Peer-Reviewed Original ResearchEffects of ANK3 variation on gray and white matter in bipolar disorder
Lippard ETC, Jensen KP, Wang F, Johnston JAY, Spencer L, Pittman B, Gelernter J, Blumberg HP. Effects of ANK3 variation on gray and white matter in bipolar disorder. Molecular Psychiatry 2016, 22: 1345-1351. PMID: 27240527, PMCID: PMC5133179, DOI: 10.1038/mp.2016.76.Peer-Reviewed Original ResearchGenome-wide association study of lifetime cannabis use based on a large meta-analytic sample of 32 330 subjects from the International Cannabis Consortium
Stringer S, Minică CC, Verweij KJ, Mbarek H, Bernard M, Derringer J, van Eijk KR, Isen JD, Loukola A, Maciejewski DF, Mihailov E, van der Most PJ, Sánchez-Mora C, Roos L, Sherva R, Walters R, Ware JJ, Abdellaoui A, Bigdeli TB, Branje SJ, Brown SA, Bruinenberg M, Casas M, Esko T, Garcia-Martinez I, Gordon SD, Harris JM, Hartman CA, Henders AK, Heath AC, Hickie IB, Hickman M, Hopfer CJ, Hottenga JJ, Huizink AC, Irons DE, Kahn RS, Korhonen T, Kranzler HR, Krauter K, van Lier PA, Lubke GH, Madden PA, Mägi R, McGue MK, Medland SE, Meeus WH, Miller MB, Montgomery GW, Nivard MG, Nolte IM, Oldehinkel AJ, Pausova Z, Qaiser B, Quaye L, Ramos-Quiroga JA, Richarte V, Rose RJ, Shin J, Stallings MC, Stiby AI, Wall TL, Wright MJ, Koot HM, Paus T, Hewitt JK, Ribasés M, Kaprio J, Boks MP, Snieder H, Spector T, Munafò MR, Metspalu A, Gelernter J, Boomsma DI, Iacono WG, Martin NG, Gillespie NA, Derks EM, Vink JM. Genome-wide association study of lifetime cannabis use based on a large meta-analytic sample of 32 330 subjects from the International Cannabis Consortium. Translational Psychiatry 2016, 6: e769-e769. PMID: 27023175, PMCID: PMC4872459, DOI: 10.1038/tp.2016.36.Peer-Reviewed Original ResearchConceptsLifetime cannabis useCannabis useInternational Cannabis ConsortiumLifetime cannabisIndividual differencesAutism disorderOccasional cannabisCannabis initiationSubstance useEffect sizeSocial consequencesCannabisLifetime cigarette smokingCigarette useReplication sampleGene-based testsCigarette smokingPsychoactive substancesIllicit psychoactive substancesSNP effect sizesFrequent useGenome-wide association studiesGenetic correlationsGenome-wide association dataAbuse
2015
Association of the OPRM1 Variant rs1799971 (A118G) with Non-Specific Liability to Substance Dependence in a Collaborative de novo Meta-Analysis of European-Ancestry Cohorts
Schwantes-An TH, Zhang J, Chen LS, Hartz SM, Culverhouse RC, Chen X, Coon H, Frank J, Kamens HM, Konte B, Kovanen L, Latvala A, Legrand LN, Maher BS, Melroy WE, Nelson EC, Reid MW, Robinson JD, Shen PH, Yang BZ, Andrews JA, Aveyard P, Beltcheva O, Brown SA, Cannon DS, Cichon S, Corley RP, Dahmen N, Degenhardt L, Foroud T, Gaebel W, Giegling I, Glatt SJ, Grucza RA, Hardin J, Hartmann AM, Heath AC, Herms S, Hodgkinson CA, Hoffmann P, Hops H, Huizinga D, Ising M, Johnson EO, Johnstone E, Kaneva RP, Kendler KS, Kiefer F, Kranzler HR, Krauter KS, Levran O, Lucae S, Lynskey MT, Maier W, Mann K, Martin NG, Mattheisen M, Montgomery GW, Müller-Myhsok B, Murphy MF, Neale MC, Nikolov MA, Nishita D, Nöthen MM, Nurnberger J, Partonen T, Pergadia ML, Reynolds M, Ridinger M, Rose RJ, Rouvinen-Lagerström N, Scherbaum N, Schmäl C, Soyka M, Stallings MC, Steffens M, Treutlein J, Tsuang M, Wall TL, Wodarz N, Yuferov V, Zill P, Bergen AW, Chen J, Cinciripini PM, Edenberg HJ, Ehringer MA, Ferrell RE, Gelernter J, Goldman D, Hewitt JK, Hopfer CJ, Iacono WG, Kaprio J, Kreek MJ, Kremensky IM, Madden PA, McGue M, Munafò MR, Philibert RA, Rietschel M, Roy A, Rujescu D, Saarikoski ST, Swan GE, Todorov AA, Vanyukov MM, Weiss RB, Bierut LJ, Saccone NL. Association of the OPRM1 Variant rs1799971 (A118G) with Non-Specific Liability to Substance Dependence in a Collaborative de novo Meta-Analysis of European-Ancestry Cohorts. Behavior Genetics 2015, 46: 151-169. PMID: 26392368, PMCID: PMC4752855, DOI: 10.1007/s10519-015-9737-3.Peer-Reviewed Original ResearchConceptsSubstance dependenceModest protective effectDSM-IV alcoholOpioid receptor geneLight smokingProtective effectNicotine dependenceAddiction liabilityDifferent addictive substancesG alleleMeta-AnalysisCocaine dependenceRs1799971Addictive substancesHuman genetic studiesReceptor genePotential functional significanceEuropean ancestry cohortsOPRM1Substance dependence riskSimilar effectsEuropean ancestry subjectsFunctional significanceAddictive behaviorsRisk
2014
Genetic association of impulsivity in young adults: a multivariate study
Khadka S, Narayanan B, Meda SA, Gelernter J, Han S, Sawyer B, Aslanzadeh F, Stevens MC, Hawkins KA, Anticevic A, Potenza MN, Pearlson GD. Genetic association of impulsivity in young adults: a multivariate study. Translational Psychiatry 2014, 4: e451-e451. PMID: 25268255, PMCID: PMC4199418, DOI: 10.1038/tp.2014.95.Peer-Reviewed Original Research