2024
Cross-ancestry genetic investigation of schizophrenia, cannabis use disorder, and tobacco smoking
Johnson E, Austin-Zimmerman I, Thorpe H, Levey D, Baranger D, Colbert S, Demontis D, Khokhar J, Davis L, Edenberg H, Di Forti M, Sanchez-Roige S, Gelernter J, Agrawal A. Cross-ancestry genetic investigation of schizophrenia, cannabis use disorder, and tobacco smoking. Neuropsychopharmacology 2024, 49: 1655-1665. PMID: 38906991, PMCID: PMC11399264, DOI: 10.1038/s41386-024-01886-3.Peer-Reviewed Original ResearchCannabis use disorderUse disorderPleiotropic lociCo-occurring substance useHeavy cannabis useInvestigation of schizophreniaSubstance use disordersGenome-wide studiesGenetic factorsMental health conditionsExecutive functionCannabis useSubstance useLead variantsSchizophreniaGenetic variantsEuropean ancestryEuropean ancestry dataRisk-takingSCZHeritable factorsCannabisDisordersTobacco smokeGenetic correlations
2018
Genome‐wide association study of cognitive flexibility assessed by the Wisconsin Card Sorting Test
Zhang H, Zhou H, Lencz T, Farrer LA, Kranzler HR, Gelernter J. Genome‐wide association study of cognitive flexibility assessed by the Wisconsin Card Sorting Test. American Journal Of Medical Genetics Part B Neuropsychiatric Genetics 2018, 177: 511-519. PMID: 30134085, PMCID: PMC6110090, DOI: 10.1002/ajmg.b.32642.Peer-Reviewed Original ResearchConceptsGenome-wide association studiesSingle nucleotide polymorphismsAssociation studiesGenome-wide significant associationUbiquitin-specific peptidase 9Top single nucleotide polymorphismsComplex trait analysisEnriched gene setsPolygenic risk score analysisCommon single nucleotide polymorphismsGWS associationsSame effect directionGene setsPopulation variationProtein degradationNongenetic factorsTrait analysisChromosome 15Genetic correlationsRisk score analysisNucleotide polymorphismsEffect directionEuropean-American subjectsGenetic factorsBrain development
2017
Polygenic Scores for Major Depressive Disorder and Risk of Alcohol Dependence
Andersen AM, Pietrzak RH, Kranzler HR, Ma L, Zhou H, Liu X, Kramer J, Kuperman S, Edenberg HJ, Nurnberger JI, Rice JP, Tischfield JA, Goate A, Foroud TM, Meyers JL, Porjesz B, Dick DM, Hesselbrock V, Boerwinkle E, Southwick SM, Krystal JH, Weissman MM, Levinson DF, Potash JB, Gelernter J, Han S. Polygenic Scores for Major Depressive Disorder and Risk of Alcohol Dependence. JAMA Psychiatry 2017, 74: 1153-1160. PMID: 28813562, PMCID: PMC5710224, DOI: 10.1001/jamapsychiatry.2017.2269.Peer-Reviewed Original ResearchConceptsMDD polygenic risk scoresMajor depressive disorderPolygenic risk scoresAlcohol dependenceDepressive disorderSignificant public health burdenPublic health burdenAD comorbidityNational HealthHealth burdenMAIN OUTCOMECase-control statusRisk scoreRisk of ADVeterans StudyYale-PennGenetic susceptibilityMDD statusCommon genetic factorsSubstance dependenceMDD casesAD samplesPolygenic riskGenetic factorsHeritable disorder
2016
Genome-wide Association Study of Cannabis Dependence Severity, Novel Risk Variants, and Shared Genetic Risks
Sherva R, Wang Q, Kranzler H, Zhao H, Koesterer R, Herman A, Farrer LA, Gelernter J. Genome-wide Association Study of Cannabis Dependence Severity, Novel Risk Variants, and Shared Genetic Risks. JAMA Psychiatry 2016, 73: 472. PMID: 27028160, PMCID: PMC4974817, DOI: 10.1001/jamapsychiatry.2016.0036.Peer-Reviewed Original ResearchConceptsCannabis dependenceNeuronal calcium homeostasisGenetic factorsMajor depressive disorderSushi multiple domains-1 (CSMD1) geneSubstance abuse treatment centersSpecific genetic risk factorsGenetic risk factorsShared genetic riskPotential genetic factorsCentral nervous system developmentCriterion countsCannabis dependence severityDomain 1 geneCAD riskMean ageRisk factorsDepressive disorderNervous system developmentMajor depressionLarge cohortMAIN OUTCOMEGenome-wide association studiesTreatment centersCalcium homeostasis
2013
Exploring the genetic architecture of alcohol dependence in African-Americans via analysis of a genomewide set of common variants
Yang C, Li C, Kranzler HR, Farrer LA, Zhao H, Gelernter J. Exploring the genetic architecture of alcohol dependence in African-Americans via analysis of a genomewide set of common variants. Human Genetics 2013, 133: 617-624. PMID: 24297757, PMCID: PMC3988209, DOI: 10.1007/s00439-013-1399-8.Peer-Reviewed Original ResearchConceptsSingle nucleotide polymorphismsPhenotypic varianceGenetic architectureSubset of SNPsTop single nucleotide polymorphismsKb of genesCommon variantsAD risk genesCommon single nucleotide polymorphismsGenome partitioningGenomewide association studiesPolygenic traitChromosome 4Illumina OmniAssociation studiesRisk genesGenetic variantsGenomewide setComplex psychiatric disorderGenesFunctional partitioningMultiple variantsGenetic factorsDevelopment of ADVariantsGenome-wide Association Study Identifies New Susceptibility Loci for Posttraumatic Stress Disorder
Xie P, Kranzler HR, Yang C, Zhao H, Farrer LA, Gelernter J. Genome-wide Association Study Identifies New Susceptibility Loci for Posttraumatic Stress Disorder. Biological Psychiatry 2013, 74: 656-663. PMID: 23726511, PMCID: PMC3810148, DOI: 10.1016/j.biopsych.2013.04.013.Peer-Reviewed Original ResearchConceptsSingle nucleotide polymorphismsGenome-wide significanceFirst intronGenome-wide association study analysisGenome-wide association analysisNew susceptibility lociCandidate gene association studiesNew susceptibility genesCommon risk allelesGene association studiesChromosome 7p12Association studiesAssociation analysisSusceptibility lociSusceptibility genesGenetic variantsNucleotide polymorphismsIntronsTLL1GenesLociRisk allelesGenetic factorsSignificant signalEuropean Americans
2012
Meta-analyses of genome-wide linkage scans of anxiety-related phenotypes
Webb BT, Guo AY, Maher BS, Zhao Z, van den Oord EJ, Kendler KS, Riley BP, Gillespie NA, Prescott CA, Middeldorp CM, Willemsen G, de Geus EJ, Hottenga JJ, Boomsma DI, Slagboom EP, Wray NR, Montgomery GW, Martin NG, Wright MJ, Heath AC, Madden PA, Gelernter J, Knowles JA, Hamilton SP, Weissman MM, Fyer AJ, Huezo-Diaz P, McGuffin P, Farmer A, Craig IW, Lewis C, Sham P, Crowe RR, Flint J, Hettema JM. Meta-analyses of genome-wide linkage scans of anxiety-related phenotypes. European Journal Of Human Genetics 2012, 20: 1078-1084. PMID: 22473089, PMCID: PMC3449070, DOI: 10.1038/ejhg.2012.47.Peer-Reviewed Original ResearchConceptsGenome-wide linkage scanGenome-wide linkage dataGenome-wide association dataGenome-wide significanceAnxiety-related phenotypesGenomic regionsLinkage scanCM intervalChromosome 1Studies of neuroticismFalse discovery rate analysisChromosome 9Association dataLinkage dataPhenotypeMeta-analysis approachConsistent signalFDR thresholdGenetic factorsGenetic susceptibilitySuch hypothesesGenomeValuable approachGenesTraits
2010
A Prospective Cohort Study Investigating Factors Associated With Depression During Medical Internship
Sen S, Kranzler HR, Krystal JH, Speller H, Chan G, Gelernter J, Guille C. A Prospective Cohort Study Investigating Factors Associated With Depression During Medical Internship. JAMA Psychiatry 2010, 67: 557-565. PMID: 20368500, PMCID: PMC4036806, DOI: 10.1001/archgenpsychiatry.2010.41.Peer-Reviewed Original ResearchMeSH KeywordsAdultCohort StudiesDepressionDepressive DisorderDepressive Disorder, MajorFemaleGenotypeHealth StatusHumansInternship and ResidencyLife Change EventsMaleMedicinePolymorphism, Single NucleotidePrevalenceProspective StudiesRisk FactorsSerotonin Plasma Membrane Transport ProteinsStress, PsychologicalStudents, MedicalSurveys and QuestionnairesConceptsDepressive symptomsPHQ-9 depression scoresProspective cohort studyPrevalence of depressionPatient Health QuestionnaireProportion of participantsMedical internsMedical internshipGreater increasePHQ-9 criteriaCohort studyHealth QuestionnaireMood symptomsGeneral populationDepression scoresUS hospitalsSymptomsSerotonin transporter protein geneGenetic polymorphismsDepressionGenetic factorsLife stressMarked increaseRecent reportsResidency programs
2009
Adolescent cannabis use increases risk for cocaine-induced paranoia
Kalayasiri R, Gelernter J, Farrer L, Weiss R, Brady K, Gueorguieva R, Kranzler HR, Malison RT. Adolescent cannabis use increases risk for cocaine-induced paranoia. Drug And Alcohol Dependence 2009, 107: 196-201. PMID: 19944543, PMCID: PMC2821949, DOI: 10.1016/j.drugalcdep.2009.10.006.Peer-Reviewed Original ResearchMeSH KeywordsAdolescentAdolescent BehaviorAge FactorsAge of OnsetCannabisCatechol O-MethyltransferaseCocaine-Related DisordersFemaleGene FrequencyGenetic Predisposition to DiseaseHumansLogistic ModelsMaleParanoid DisordersPolymerase Chain ReactionPrevalencePsychiatric Status Rating ScalesRisk FactorsSeverity of Illness IndexSiblingsUnited StatesConceptsAdolescent onset cannabisEarly cannabis exposureCocaine-dependent individualsCocaine-induced paranoiaCannabis exposureRisk factorsCOMT genotypeSemi-Structured AssessmentCatechol-O-methyl transferase (COMT) geneCOMT Val158Met genotypeCannabis abuseIncrease riskPsychotic symptomsOnset interactionPsychotic disordersStimulant abuseDrug dependenceFamily-based studyLogistic regressionEarly exposureAdolescent cannabisCannabisGenetic factorsSignificant predictorsVal158Met genotype
2008
Quantitative Trait Locus Analysis Identifies Rat Genomic Regions Related to Amphetamine-Induced Locomotion and Gαi3 Levels in Nucleus Accumbens
Potenza MN, Brodkin ES, Yang BZ, Birnbaum SG, Nestler EJ, Gelernter J. Quantitative Trait Locus Analysis Identifies Rat Genomic Regions Related to Amphetamine-Induced Locomotion and Gαi3 Levels in Nucleus Accumbens. Neuropsychopharmacology 2008, 33: 2735-2746. PMID: 18216777, PMCID: PMC2818767, DOI: 10.1038/sj.npp.1301667.Peer-Reviewed Original ResearchConceptsQuantitative trait lociRobust quantitative trait lociGenomic regionsChromosome 2Quantitative trait locus (QTL) analysisG protein levelsCommon genetic mechanismQTL patternsTrait lociRat genomic regionsGenetic mechanismsChromosome 3Locus analysisChromosome 13Genetic factorsGαi3LociAmphetamine-Induced LocomotionBetter understandingLocomotionRegionAnimal modelsSignificant implicationsLevelsNovelty-induced locomotion
2004
Genomic regions controlling corticosterone levels in rats
Potenza MN, Brodkin ES, Joe B, Luo X, Remmers EF, Wilder RL, Nestler EJ, Gelernter J. Genomic regions controlling corticosterone levels in rats. Biological Psychiatry 2004, 55: 634-641. PMID: 15013833, DOI: 10.1016/j.biopsych.2003.11.005.Peer-Reviewed Original ResearchConceptsGenomic regionsQuantitative trait locus (QTL) analysisGenome-wide levelSpecific genomic regionsUnderstanding of susceptibilitySignificant QTLGenomic backgroundChromosome 4Locus analysisF2 progenyGenetic differencesSuggestive significanceDisease susceptibilityQTLFirst identificationCongenic animalsDeoxyribonucleic acidGenetic factorsProgenyIdentificationRegionSusceptibilityLevels