Featured Publications
Genome-wide meta-analysis of problematic alcohol use in 435,563 individuals yields insights into biology and relationships with other traits
Zhou H, Sealock JM, Sanchez-Roige S, Clarke TK, Levey DF, Cheng Z, Li B, Polimanti R, Kember RL, Smith RV, Thygesen JH, Morgan MY, Atkinson SR, Thursz MR, Nyegaard M, Mattheisen M, Børglum AD, Johnson EC, Justice AC, Palmer AA, McQuillin A, Davis LK, Edenberg HJ, Agrawal A, Kranzler HR, Gelernter J. Genome-wide meta-analysis of problematic alcohol use in 435,563 individuals yields insights into biology and relationships with other traits. Nature Neuroscience 2020, 23: 809-818. PMID: 32451486, PMCID: PMC7485556, DOI: 10.1038/s41593-020-0643-5.Peer-Reviewed Original ResearchConceptsRegulatory genomic regionsGenome-wide association studiesNovel risk lociEuropean ancestry individualsPolygenic risk score analysisIndependent risk variantsGenetic architectureGenomic regionsRisk lociAssociation studiesGenetic relationshipsRisk genesGenetic correlationsPsychiatric traitsRisk variantsRisk score analysisTraitsGenetic heritabilityYields insightsBiobank samplesMendelian randomizationGenesLociBiologyHeritability
2024
Shared genetics of ADHD, cannabis use disorder and cannabis use and prediction of cannabis use disorder in ADHD
Nielsen T, Duan J, Levey D, Walters G, Johnson E, Thorgeirsson T, Werge T, Mortensen P, Stefansson H, Stefansson K, Hougaard D, Agrawal A, Gelernter J, Grove J, Børglum A, Demontis D. Shared genetics of ADHD, cannabis use disorder and cannabis use and prediction of cannabis use disorder in ADHD. Nature Mental Health 2024, 2: 1071-1083. DOI: 10.1038/s44220-024-00277-3.Peer-Reviewed Original ResearchAttention-deficit hyperactivity disorderCannabis use disorderCannabis useUse disorderPolygenic scoresComorbid cannabis use disorderStudies of attention-deficit hyperactivity disorderCross-disorder genome-wide association studySubstance-use disordersIncreased polygenic scoresBrain developmental stagesRisk genesCross-disorderConditions co-occurringPsychiatric disordersHyperactivity disorderGenome-wide significant lociSubstance useRare deleterious variantsCannabisDisordersSignificant lociDeleterious variantsSex-specific differencesBrain
2023
Identification of Novel, Replicable Genetic Risk Loci for Suicidal Thoughts and Behaviors Among US Military Veterans
Kimbrel N, Ashley-Koch A, Qin X, Lindquist J, Garrett M, Dennis M, Hair L, Huffman J, Jacobson D, Madduri R, Trafton J, Coon H, Docherty A, Mullins N, Ruderfer D, Harvey P, McMahon B, Oslin D, Beckham J, Hauser E, Hauser M, Agarwal K, Ashley-Koch A, Aslan M, Beckham J, Begoli E, Bhattacharya T, Brown B, Calhoun P, Cheung K, Choudhury S, Cliff A, Cohn J, Crivelli S, Cuellar-Hengartner L, Deangelis H, Dennis M, Dhaubhadel S, Finley P, Ganguly K, Garvin M, Gelernter J, Hair L, Harvey P, Hauser E, Hauser M, Hengartner N, Jacobson D, Jones P, Kainer D, Kaplan A, Katz I, Kember R, Kimbrel N, Kirby A, Ko J, Kolade B, Lagergren J, Lane M, Levey D, Levin D, Lindquist J, Liu X, Madduri R, Manore C, Martins S, McCarthy J, McDevitt-Cashman M, McMahon B, Miller I, Morrow D, Oslin D, Pavicic-Venegas M, Pestian J, Pyarajan S, Qin X, Rajeevan N, Ramsey C, Ribeiro R, Rodriguez A, Romero J, Santel D, Schaefferkoetter N, Shi Y, Stein M, Sullivan K, Sun N, Tamang S, Townsend A, Trafton J, Walker A, Wang X, Wangia-Anderson V, Yang R, Yoon H, Yoo S, Zamora-Resendiz R, Zhao H, Docherty A, Mullins N, Coleman J, Shabalin A, Kang J, Murnyak B, Wendt F, Adams M, Campos A, DiBlasi E, Fullerton J, Kranzler H, Bakian A, Monson E, Rentería M, Andreassen O, Bulik C, Edenberg H, Kessler R, Mann J, Nurnberger J, Pistis G, Streit F, Ursano R, Awasthi S, Bergen A, Berrettini W, Bohus M, Brandt H, Chang X, Chen H, Chen W, Christensen E, Crawford S, Crow S, Duriez P, Edwards A, Fernández-Aranda F, Fichter M, Galfalvy H, Gallinger S, Gandal M, Gorwood P, Guo Y, Hafferty J, Hakonarson H, Halmi K, Hishimoto A, Jain S, Jamain S, Jiménez-Murcia S, Johnson C, Kaplan A, Kaye W, Keel P, Kennedy J, Kim M, Klump K, Levey D, Li D, Liao S, Lieb K, Lilenfeld L, Lori A, Magistretti P, Marshall C, Mitchell J, Myers R, Okazaki S, Otsuka I, Pinto D, Powers A, Ramoz N, Ripke S, Roepke S, Rozanov V, Scherer S, Schmahl C, Sokolowski M, Starnawska A, Strober M, Su M, Thornton L, Treasure J, Ware E, Watson H, Witt S, Woodside D, Yilmaz Z, Zillich L, Agerbo E, Børglum A, Breen G, Demontis D, Erlangsen A, Esko T, Gelernter J, Glatt S, Hougaard D, Hwu H, Kuo P, Lewis C, Li Q, Liu C, Martin N, McIntosh A, Medland S, Mors O, Nordentoft M, Nurnberger J, Olsen C, Porteous D, Smith D, Stahl E, Stein M, Wasserman D, Werge T, Whiteman D, Willour V, Coon H, Ruderfer D, Dedert E, Elbogen E, Fairbank J, Hurley R, Kilts J, Martindale S, Marx C, McDonald S, Moore S, Morey R, Naylor J, Rowland J, Shura R, Swinkels C, Tupler L, Van Voorhees E, Yoash-Gantz R, Gaziano J, Muralidhar S, Ramoni R, Chang K, O’Donnell C, Tsao P, Breeling J, Hauser E, Sun Y, Huang G, Casas J, Moser J, Whitbourne S, Brewer J, Conner T, Argyres D, Stephens B, Brophy M, Humphries D, Selva L, Do N, Shayan S, Cho K, Churby L, Wilson P, McArdle R, Dellitalia L, Mattocks K, Harley J, Whittle J, Jacono F, Wells J, Gutierrez S, Gibson G, Hammer K, Kaminsky L, Villareal G, Kinlay S, Xu J, Hamner M, Mathew R, Bhushan S, Iruvanti P, Godschalk M, Ballas Z, Ivins D, Mastorides S, Moorman J, Gappy S, Klein J, Ratcliffe N, Florez H, Okusaga O, Murdoch M, Sriram P, Yeh S, Tandon N, Jhala D, Liangpunsakul S, Oursler K, Whooley M, Ahuja S, Constans J, Meyer P, Greco J, Rauchman M, Servatius R, Gaddy M, Wallbom A, Morgan T, Stapley T, Sherman S, Ross G, Strollo P, Boyko E, Meyer L, Gupta S, Huq M, Fayad J, Hung A, Lichy J, Hurley R, Robey B, Striker R. Identification of Novel, Replicable Genetic Risk Loci for Suicidal Thoughts and Behaviors Among US Military Veterans. JAMA Psychiatry 2023, 80: 135-145. PMID: 36515925, PMCID: PMC9857322, DOI: 10.1001/jamapsychiatry.2022.3896.Peer-Reviewed Original ResearchConceptsMolecular genetic basisRisk lociSingle nucleotide variantsGWS lociGenetic basisGenomic risk lociRisk genesGenome-wide association studiesSignificant enrichmentGene-based analysisGenetic risk lociCandidate risk genesCyclic adenosine monophosphate (cAMP) signalingIdentification of novelPolygenic risk score analysisGene clusterFocal adhesionsGenetic substructureUbiquitination processChromosome 2Enrichment analysisAssociation studiesAxon guidanceAfrican ancestryNCAM1-TTC12
2022
Genome-wide meta-analysis of alcohol use disorder in East Asians
Zhou H, Kalayasiri R, Sun Y, Nuñez YZ, Deng HW, Chen XD, Justice AC, Kranzler HR, Chang S, Lu L, Shi J, Sanichwankul K, Mutirangura A, Malison RT, Gelernter J. Genome-wide meta-analysis of alcohol use disorder in East Asians. Neuropsychopharmacology 2022, 47: 1791-1797. PMID: 35094024, PMCID: PMC9372033, DOI: 10.1038/s41386-022-01265-w.Peer-Reviewed Original ResearchConceptsAlcohol use disorderAlcohol dependenceUse disordersICD-9-CM diagnosisGenome-wide association studiesEast Asian subjectsElectronic health recordsPack yearsLeading causePolygenic risk scoresThai cohortRisk scoreAlcohol consumptionDSM-IVAsian subjectsCohortMillion Veteran Program sampleHealth recordsLarge genome-wide association studiesEast AsiansOngoing recruitmentRisk genesDisordersRisk lociSubjects
2019
Genome‐wide scan identifies opioid overdose risk locus close to MCOLN1
Cheng Z, Yang B, Zhou H, Nunez Y, Kranzler HR, Gelernter J. Genome‐wide scan identifies opioid overdose risk locus close to MCOLN1. Addiction Biology 2019, 25: e12811. PMID: 31362332, PMCID: PMC7485539, DOI: 10.1111/adb.12811.Peer-Reviewed Original ResearchConceptsGenome-wide association studiesMucolipin-1Expression profilesGenome-wide significant signalsAssociation studiesPost-GWAS analysisWide association studyDrug repositioning analysisCation channel activityFunctional categoriesConnectivity Map databaseDrug targetsRisk genesGenesChannel activityPatatin-like phospholipaseNetwork analysisPNPLA6Significant signalEuropean Americans
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 transmissionGenomewide Association Study of Alcohol Dependence and Related Traits in a Thai Population
Gelernter J, Zhou H, Nuñez YZ, Mutirangura A, Malison RT, Kalayasiri R. Genomewide Association Study of Alcohol Dependence and Related Traits in a Thai Population. Alcohol Clinical And Experimental Research 2018, 42: 861-868. PMID: 29460428, PMCID: PMC5916336, DOI: 10.1111/acer.13614.Peer-Reviewed Original ResearchConceptsGenomewide association studiesAssociation studiesRisk genesAldehyde dehydrogenase 2Prior biological informationAfrican ancestry populationsRelated traitsSame geneBiological informationAlcohol dehydrogenasesSignificant pleiotropyDehydrogenase BGenesFunctional variantsPsychiatric traitsGenomewide significant associationPleiotropy analysisTraitsAncestry populationsFirst genomewide association studyPleiotropyDehydrogenase 2Null variants
2014
Identification of methylation quantitative trait loci (mQTLs) influencing promoter DNA methylation of alcohol dependence risk genes
Zhang H, Wang F, Kranzler HR, Yang C, Xu H, Wang Z, Zhao H, Gelernter J. Identification of methylation quantitative trait loci (mQTLs) influencing promoter DNA methylation of alcohol dependence risk genes. Human Genetics 2014, 133: 1093-1104. PMID: 24889829, PMCID: PMC4127343, DOI: 10.1007/s00439-014-1452-2.Peer-Reviewed Original ResearchConceptsMethylation quantitative trait lociQuantitative trait lociDNA methylationTrait lociSignificant methylation quantitative trait lociSequence variantsRisk genesGene expression regulationGenome-wide association studiesGenome-wide genotype dataPromoter DNA methylationAD risk genesGene promoter regionExpression QTLsExpression regulationGenetic variationPromoter CpGsPromoter regionThe effects of a MAP2K5 microRNA target site SNP on risk for anxiety and depressive disorders
Jensen KP, Kranzler HR, Stein MB, Gelernter J. The effects of a MAP2K5 microRNA target site SNP on risk for anxiety and depressive disorders. American Journal Of Medical Genetics Part B Neuropsychiatric Genetics 2014, 165: 175-183. PMID: 24436253, PMCID: PMC4174417, DOI: 10.1002/ajmg.b.32219.Peer-Reviewed Original ResearchConceptsGene-trait relationshipsGWAS-identified variantsRegulation of mRNAGWAS signalsComplex traitsTrait associationsTarget genesStudy signalsSNP associationsRisk genesFunctional variantsSNPsGenesAnxiety-related traitsGene SNPsTraitsMRNAMAP2K5MicroRNAsMajor psychiatric disordersVariantsSite informationMitogenRegulationPathway
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 ADVariantsALDH2 is associated to alcohol dependence and is the major genetic determinant of “daily maximum drinks” in a GWAS study of an isolated rural chinese sample
Quillen EE, Chen X, Almasy L, Yang F, He H, Li X, Wang X, Liu T, Hao W, Deng H, Kranzler HR, Gelernter J. ALDH2 is associated to alcohol dependence and is the major genetic determinant of “daily maximum drinks” in a GWAS study of an isolated rural chinese sample. American Journal Of Medical Genetics Part B Neuropsychiatric Genetics 2013, 165: 103-110. PMID: 24277619, PMCID: PMC4149216, DOI: 10.1002/ajmg.b.32213.Peer-Reviewed Original ResearchConceptsSingle nucleotide polymorphismsCandidate single nucleotide polymorphismsGenome-wide association analysisCandidate gene studiesPhenotypic variationMajor genetic determinantGWAS studiesHeritable phenotypesAldehyde dehydrogenase deficiencyGene studiesAssociation analysisRisk genesLinkage disequilibriumGenetic determinantsExtended pedigreesNucleotide polymorphismsNorthern Hunan ProvinceAD-related phenotypesPhenotypeALDH2Consumption rateCCDC63Genome-wide association study of alcohol dependence:significant findings in African- and European-Americans including novel risk loci
Gelernter J, Kranzler HR, Sherva R, Almasy L, Koesterer R, Smith AH, Anton R, Preuss UW, Ridinger M, Rujescu D, Wodarz N, Zill P, Zhao H, Farrer LA. Genome-wide association study of alcohol dependence:significant findings in African- and European-Americans including novel risk loci. Molecular Psychiatry 2013, 19: 41-49. PMID: 24166409, PMCID: PMC4165335, DOI: 10.1038/mp.2013.145.Peer-Reviewed Original ResearchMeSH KeywordsAdaptor Proteins, Signal TransducingAlcohol DehydrogenaseAlcoholismAminopeptidasesBlack or African AmericanChromosome MappingCohort StudiesEukaryotic Initiation FactorsFemaleFollow-Up StudiesGenetic Predisposition to DiseaseGenome-Wide Association StudyGenotypeHumansLIM Domain ProteinsMaleMicrofilament ProteinsMitochondrial ProteinsPolymorphism, Single NucleotidePsychiatric Status Rating ScalesUnited StatesVesicular Transport ProteinsWhite PeopleConceptsRisk lociGWS associationsGenome-wide significant associationGenome-wide association studiesADH gene clusterSchizophrenia risk lociNovel risk lociGene expression evidenceGene clusterExpression evidenceLocus mappingNovel lociAD GWASBiological convergenceChromosome 4Chromosome 5Same locusAD risk lociAssociation studiesEnzyme genesRisk genesLociPsychiatric traitsGenesNovel associationsGenome-wide association study of cocaine dependence and related traits: FAM53B identified as a risk gene
Gelernter J, Sherva R, Koesterer R, Almasy L, Zhao H, Kranzler HR, Farrer L. Genome-wide association study of cocaine dependence and related traits: FAM53B identified as a risk gene. Molecular Psychiatry 2013, 19: 717-723. PMID: 23958962, PMCID: PMC3865158, DOI: 10.1038/mp.2013.99.Peer-Reviewed Original ResearchMeSH KeywordsAdultBlack or African AmericanCDC2 Protein KinaseCocaineCocaine-Related DisordersCyclin-Dependent KinasesDopamine Uptake InhibitorsFemaleGenetic Predisposition to DiseaseGenome-Wide Association StudyGenotyping TechniquesHumansMaleNuclear Receptor Co-Repressor 2Paranoid DisordersPolymorphism, Single NucleotideUnited StatesWhite PeopleConceptsGenome-wide association studiesAssociation studiesAvailable GWAS dataSignificant GWAS SNPsNovel risk lociGWAS data setsSame chromosomal regionDiscovery sampleGenomes reference panelPrevious linkage studiesGWAS SNPsGWAS dataRelated traitsChromosomal regionsRisk lociRisk genesRisk variantsGenesReference panelAdditional genotypesLinkage studiesLociEuropean-American subjectsCocaine-induced paranoiaFAM53BDeep resequencing of 17 glutamate system genes identifies rare variants in DISC1 and GRIN2B affecting risk of opioid dependence
Xie P, Kranzler HR, Krystal JH, Farrer LA, Zhao H, Gelernter J. Deep resequencing of 17 glutamate system genes identifies rare variants in DISC1 and GRIN2B affecting risk of opioid dependence. Addiction Biology 2013, 19: 955-964. PMID: 23855403, PMCID: PMC3815683, DOI: 10.1111/adb.12072.Peer-Reviewed Original ResearchConceptsOpioid dependenceSubstance dependenceRare variantsN-methyl-D-aspartate (NMDA) glutamate receptorsCo-occurring alcohol dependenceHealthy control subjectsControl subjectsNMDA systemOpioid abuseGlutamate receptorsSchizophrenia risk genesSD riskAlcohol dependenceSignificant associationCocaine dependenceAdditional subjectsOD riskRisk genesDISC1African AmericansFirst demonstrationCommon variantsRiskSubjectsMinor allele frequency
2012
ANKRD7 and CYTL1 are novel risk genes for alcohol drinking behavior.
Chen XD, Xiong DH, Yang TL, Pei YF, Guo YF, Li J, Yang F, Pan F, Tan LJ, Yan H, Liu XG, Lei SF, Li X, Ning LL, Zhu XZ, Levy S, Kranzler HR, Farrer LA, Gelernter J, Recker RR, Deng HW. ANKRD7 and CYTL1 are novel risk genes for alcohol drinking behavior. Chinese Medical Journal 2012, 125: 1127-34. PMID: 22613542, PMCID: PMC4174677.Peer-Reviewed Original ResearchConceptsGenome-wide association studiesAlcohol-related phenotypesAssociation studiesUnrelated Caucasian subjectsGenome-wide significance levelAffymetrix 500K SNP arrayK SNP arrayNovel risk genesCaucasian nuclear familiesGWAS technologySuggestive statistical evidenceSNP arrayANKRD7GenesRisk genesSusceptibility genesUnrelated Chinese HansSusceptibility allelesCertain haplotypesComplex disorderReplication sampleEnvironmental factorsUnrelated CaucasiansPhenotypeChinese Han
2011
Genome-Wide Association Study of Alcohol Dependence Implicates KIAA0040 on Chromosome 1q
Zuo L, Gelernter J, Zhang CK, Zhao H, Lu L, Kranzler HR, Malison RT, Li CS, Wang F, Zhang XY, Deng HW, Krystal JH, Zhang F, Luo X. Genome-Wide Association Study of Alcohol Dependence Implicates KIAA0040 on Chromosome 1q. Neuropsychopharmacology 2011, 37: 557-566. PMID: 21956439, PMCID: PMC3242317, DOI: 10.1038/npp.2011.229.Peer-Reviewed Original ResearchConceptsSignificant risk genesHapMap populationsGenome-wide association analysisExpression quantitative trait loci (eQTL) analysisGenome-wide association study data setsQuantitative trait locus (QTL) analysisAssociation analysisMetabolic pathwaysRisk genesGenome-wide association studiesSNP-expression associationsCis-acting regulatory effectsExtracellular matrix proteinsGene expression levelsNumerous genesSignificant SNPsCausal variantsKIAA0040Risk lociRisk of ADLocus analysisAssociation studiesMatrix proteinsRisk SNPsCell migration
2010
Genetic Associations of Brain Structural Networks in Schizophrenia: A Preliminary Study
Jagannathan K, Calhoun VD, Gelernter J, Stevens MC, Liu J, Bolognani F, Windemuth A, Ruaño G, Assaf M, Pearlson GD. Genetic Associations of Brain Structural Networks in Schizophrenia: A Preliminary Study. Biological Psychiatry 2010, 68: 657-666. PMID: 20691427, PMCID: PMC2990476, DOI: 10.1016/j.biopsych.2010.06.002.Peer-Reviewed Original ResearchConceptsSpecific structural brain abnormalitiesMagnetic resonance imaging (MRI) scansSmall sample sizeHealthy control subjectsStructural brain abnormalitiesStructural magnetic resonance imaging (MRI) scansGray matter deficitsResonance imaging scansCortical gray matterNormal central nervous system developmentRisk genesCentral nervous system developmentBrain structural networksControl subjectsImaging scansBrain abnormalitiesNervous system developmentIllness markersSchizophrenia pathophysiologySchizophrenia risk genesGenetic componentTemporal lobeBrain areasEuropean-American subjectsSchizophrenia patientsGenetics of drug dependence
Gelernter J, Kranzler HR. Genetics of drug dependence. Dialogues In Clinical Neuroscience 2010, 12: 77-84. PMID: 20373669, PMCID: PMC3181942, DOI: 10.31887/dcns.2010.12.1/jgelernter.Peer-Reviewed Original Research
2009
A pilot multivariate parallel ICA study to investigate differential linkage between neural networks and genetic profiles in schizophrenia
Meda SA, Jagannathan K, Gelernter J, Calhoun VD, Liu J, Stevens MC, Pearlson GD. A pilot multivariate parallel ICA study to investigate differential linkage between neural networks and genetic profiles in schizophrenia. NeuroImage 2009, 53: 1007-1015. PMID: 19944766, PMCID: PMC3968678, DOI: 10.1016/j.neuroimage.2009.11.052.Peer-Reviewed Original ResearchMeSH KeywordsAcoustic StimulationBrain MappingBrain-Derived Neurotrophic FactorDopamine Plasma Membrane Transport ProteinsEndophenotypesFemaleGenetic Predisposition to DiseaseGenotypeHumansImage Interpretation, Computer-AssistedMagnetic Resonance ImagingMaleNeural PathwaysPilot ProjectsPolymorphism, Single NucleotideSchizophreniaSerotonin Plasma Membrane Transport ProteinsConceptsDopamine transporterBrain functionNeurotropic factorAuditory oddball taskSchizophrenia patientsSingle nucleotide polymorphismsMultiple risk genesRisk genesOddball taskRelated brain functionsHealthy controlsSchizophrenia risk genesAbnormal activationGenomic factorsTemporal gyrusPatientsTask-relevant regionsSchizophreniaSignificant differencesAttention/Multiple single nucleotide polymorphismsGenetic profilePsychiatric neuroimagingBrainGenotype-phenotype relationships