2024
Genetic contribution to the comorbidity between attention-deficit/hyperactivity disorder and substance use disorders
Koller D, Mitjans M, Kouakou M, Friligkou E, Cabrera-Mendoza B, Deak J, Llonga N, Pathak G, Stiltner B, Løkhammer S, Levey D, Zhou H, Hatoum A, Kember R, Kranzler H, Stein M, Corominas R, Demontis D, Artigas M, Ramos-Quiroga J, Gelernter J, Ribasés M, Cormand B, Polimanti R. Genetic contribution to the comorbidity between attention-deficit/hyperactivity disorder and substance use disorders. Psychiatry Research 2024, 333: 115758. PMID: 38335780, PMCID: PMC11157987, DOI: 10.1016/j.psychres.2024.115758.Peer-Reviewed Original ResearchMeSH KeywordsAlcoholismAttention Deficit Disorder with HyperactivityComorbidityGenome-Wide Association StudyHumansOpioid-Related DisordersSubstance-Related DisordersConceptsUse disorderGenome-wide association studiesGenomic structural equation modelingCannabis use disorderAlcohol Use Disorders Identification TestAttention-deficit/hyperactivity disorderAlcohol use disorderProblematic alcohol useSubstance use disordersTwo-sample Mendelian randomization analysisLinkage disequilibrium score regression analysisDisorders Identification TestMendelian randomization analysisAssociated with increased oddsOdds of ADHDOpioid use disorderAttention-deficit/hyperactivityGWAS meta-analysesAlcohol dependenceStructural equation modelingNicotine dependenceInvestigate genetic correlationsADHDPolygenic riskStrength of evidence
2022
Genome-wide association study in individuals of European and African ancestry and multi-trait analysis of opioid use disorder identifies 19 independent genome-wide significant risk loci
Deak JD, Zhou H, Galimberti M, Levey DF, Wendt FR, Sanchez-Roige S, Hatoum AS, Johnson EC, Nunez YZ, Demontis D, Børglum AD, Rajagopal VM, Jennings MV, Kember RL, Justice AC, Edenberg HJ, Agrawal A, Polimanti R, Kranzler HR, Gelernter J. Genome-wide association study in individuals of European and African ancestry and multi-trait analysis of opioid use disorder identifies 19 independent genome-wide significant risk loci. Molecular Psychiatry 2022, 27: 3970-3979. PMID: 35879402, PMCID: PMC9718667, DOI: 10.1038/s41380-022-01709-1.Peer-Reviewed Original ResearchMeSH KeywordsAlcoholismBlack PeopleFurinGenetic Predisposition to DiseaseGenome-Wide Association StudyHumansOpioid-Related DisordersPhenotypePolymorphism, Single NucleotideWhite PeopleConceptsGenome-wide association studiesGenome-wide significant risk lociAssociation studiesVariant associationsLarge-scale genome-wide association studiesGenetic correlationsSignificant risk lociPsychiatric Genomics ConsortiumMulti-trait analysisPolygenic risk score analysisSingle-variant associationsGWS lociGenetic architectureIndividuals of EuropeanGWS associationsRisk lociGene regionGenomics ConsortiumMillion Veteran ProgramSusceptibility lociAfrican ancestryLociRisk score analysisGenetic informativenessSNPs one
2021
The addiction risk factor: A unitary genetic vulnerability characterizes substance use disorders and their associations with common correlates
Hatoum AS, Johnson EC, Colbert SMC, Polimanti R, Zhou H, Walters RK, Gelernter J, Edenberg HJ, Bogdan R, Agrawal A. The addiction risk factor: A unitary genetic vulnerability characterizes substance use disorders and their associations with common correlates. Neuropsychopharmacology 2021, 47: 1739-1745. PMID: 34750568, PMCID: PMC9372072, DOI: 10.1038/s41386-021-01209-w.Peer-Reviewed Original ResearchMeSH KeywordsAlcohol DrinkingBehavior, AddictiveGenome-Wide Association StudyHumansOpioid-Related DisordersRisk FactorsSubstance-Related DisordersAncestry may confound genetic machine learning: Candidate-gene prediction of opioid use disorder as an example
Hatoum AS, Wendt FR, Galimberti M, Polimanti R, Neale B, Kranzler HR, Gelernter J, Edenberg HJ, Agrawal A. Ancestry may confound genetic machine learning: Candidate-gene prediction of opioid use disorder as an example. Drug And Alcohol Dependence 2021, 229: 109115. PMID: 34710714, PMCID: PMC9358969, DOI: 10.1016/j.drugalcdep.2021.109115.Peer-Reviewed Original ResearchMeSH KeywordsBlack PeopleHumansMachine LearningMultifactorial InheritanceOpioid-Related DisordersPolymorphism, Single NucleotideConceptsGenome-wide significant variantsCandidate gene predictionGenetic predictionRandom SNPsPolygenic traitRandom phenotypeCandidate SNPsSimulated phenotypesPsychiatric geneticsGenetic machineSignificant variantsBinary phenotypesCandidate variantsSNPsAncestryPhenotypeAllele frequenciesVariantsMachine learning modelsGenetic testsLearning model
2020
Association of OPRM1 Functional Coding Variant With Opioid Use Disorder
Zhou H, Rentsch CT, Cheng Z, Kember RL, Nunez YZ, Sherva RM, Tate JP, Dao C, Xu K, Polimanti R, Farrer LA, Justice AC, Kranzler HR, Gelernter J. Association of OPRM1 Functional Coding Variant With Opioid Use Disorder. JAMA Psychiatry 2020, 77: 1072-1080. PMID: 32492095, PMCID: PMC7270886, DOI: 10.1001/jamapsychiatry.2020.1206.Peer-Reviewed Original ResearchMeSH KeywordsAgedFemaleGenome-Wide Association StudyHumansMaleMiddle AgedOpioid-Related DisordersReceptors, Opioid, muUnited StatesUnited States Department of Veterans AffairsConceptsOpioid use disorderUse disordersMendelian randomization analysisAfrican American individualsMAIN OUTCOMEFunctional coding variantSignificant associationCausal associationRandomization analysisElectronic health record dataCurrent opioid crisisAmerican individualsHealth record dataCognitive performanceInternational Statistical ClassificationRelated Health ProblemsPotential causal associationAmerican controlsEuropean American controlsAfrican-American controlsCoding variantBuprenorphine treatmentOUD diagnosisTobacco smokingNinth RevisionLeveraging genome-wide data to investigate differences between opioid use vs. opioid dependence in 41,176 individuals from the Psychiatric Genomics Consortium
Polimanti R, Walters RK, Johnson EC, McClintick JN, Adkins AE, Adkins DE, Bacanu SA, Bierut LJ, Bigdeli TB, Brown S, Bucholz KK, Copeland WE, Costello EJ, Degenhardt L, Farrer LA, Foroud TM, Fox L, Goate AM, Grucza R, Hack LM, Hancock DB, Hartz SM, Heath AC, Hewitt JK, Hopfer CJ, Johnson EO, Kendler KS, Kranzler HR, Krauter K, Lai D, Madden PAF, Martin NG, Maes HH, Nelson EC, Peterson RE, Porjesz B, Riley BP, Saccone N, Stallings M, Wall TL, Webb BT, Wetherill L, Edenberg H, Agrawal A, Gelernter J. Leveraging genome-wide data to investigate differences between opioid use vs. opioid dependence in 41,176 individuals from the Psychiatric Genomics Consortium. Molecular Psychiatry 2020, 25: 1673-1687. PMID: 32099098, PMCID: PMC7392789, DOI: 10.1038/s41380-020-0677-9.Peer-Reviewed Original Research
2019
Patterns 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 discoveriesReceiptHIV
2015
Dissecting 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