Featured Publications
Genome-wide association study of alcohol consumption and use disorder in 274,424 individuals from multiple populations
Kranzler HR, Zhou H, Kember RL, Vickers Smith R, Justice AC, Damrauer S, Tsao PS, Klarin D, Baras A, Reid J, Overton J, Rader DJ, Cheng Z, Tate JP, Becker WC, Concato J, Xu K, Polimanti R, Zhao H, Gelernter J. Genome-wide association study of alcohol consumption and use disorder in 274,424 individuals from multiple populations. Nature Communications 2019, 10: 1499. PMID: 30940813, PMCID: PMC6445072, DOI: 10.1038/s41467-019-09480-8.Peer-Reviewed Original ResearchConceptsGenome-wide association studiesAssociation studiesMillion Veteran Program sampleGenetic correlationsWide significant lociSignificant genetic correlationsPolygenic risk scoresCell type groupSignificant lociHeritable traitEnrichment analysisTraitsMultiple populationsLociPhenotypeProgram samples
2024
Genome-wide association study of the common retinal disorder epiretinal membrane: Significant risk loci in each of three American populations
Gelernter J, Levey D, Galimberti M, Harrington K, Zhou H, Adhikari K, Gupta P, Program V, Gaziano J, Eliott D, Stein M. Genome-wide association study of the common retinal disorder epiretinal membrane: Significant risk loci in each of three American populations. Cell Genomics 2024, 4: 100582. PMID: 38870908, PMCID: PMC11228954, DOI: 10.1016/j.xgen.2024.100582.Peer-Reviewed Original ResearchConceptsGenome-wide association studiesMillion Veteran ProgramRisk lociAssociation studiesTrans-ancestry meta-analysisSignificant risk lociPathway enrichment analysisEpiretinal membraneTrans-ancestryGenome-wideMultiple traitsGenetic associationEnrichment analysisGene expressionEuropean AmericansLoss of visual acuityVeteran ProgramGenetic correlationsLociBiological mechanismsAmerican populationVisual acuityRetinal conditionsControl individualsRetinal surface
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
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 rateAlcohol-responsive genes identified in human iPSC-derived neural cultures
Jensen KP, Lieberman R, Kranzler HR, Gelernter J, Clinton K, Covault J. Alcohol-responsive genes identified in human iPSC-derived neural cultures. Translational Psychiatry 2019, 9: 96. PMID: 30862775, PMCID: PMC6414668, DOI: 10.1038/s41398-019-0426-5.Peer-Reviewed Original ResearchConceptsAlcohol-responsive genesGene expressionGene regulatory effectsTotal RNA sequencingCo-expressed genesNeural cell culturesCholesterol biosynthesis pathwayPrimary neural tissueCorrelation network analysisHuman-induced pluripotent stem cellsPluripotent stem cellsBiosynthesis pathwayCell culturesResponsive genesRNA sequencingNotch signalingEnrichment analysisMolecular mechanismsCell cycleAlcohol exposureGenesCell culture modelGenetic effectsCholesterol homeostasisStem cells
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 transmission
2017
A 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
Evidence of Polygenic Adaptation in the Systems Genetics of Anthropometric Traits
Polimanti R, Yang BZ, Zhao H, Gelernter J. Evidence of Polygenic Adaptation in the Systems Genetics of Anthropometric Traits. PLOS ONE 2016, 11: e0160654. PMID: 27537407, PMCID: PMC4990182, DOI: 10.1371/journal.pone.0160654.Peer-Reviewed Original ResearchConceptsPolygenic adaptationNatural selectionSystems geneticsProtein interaction networksWide association studyPolygenic mechanismsEuropean populationsPolygenic selectionAnthropometric traitsGene networksHuman genomeEpistatic interactionsInteraction networksEnrichment analysisGenetic signaturesSystems biologyAssociation studiesLipid transportMolecular processesAdaptation signalsLocomotory behaviorTraitsSelective mechanismGeneticsInfection resistance
2014
Differentially co-expressed genes in postmortem prefrontal cortex of individuals with alcohol use disorders: influence on alcohol metabolism-related pathways
Zhang H, Wang F, Xu H, Liu Y, Liu J, Zhao H, Gelernter J. Differentially co-expressed genes in postmortem prefrontal cortex of individuals with alcohol use disorders: influence on alcohol metabolism-related pathways. Human Genetics 2014, 133: 1383-1394. PMID: 25073604, PMCID: PMC4185230, DOI: 10.1007/s00439-014-1473-x.Peer-Reviewed Original ResearchConceptsCo-expressed genesGenome-wide association studiesHumanHT-12 v4 Expression BeadChipGene modulesPostmortem prefrontal cortexGene co-expression network analysisCo-expression network analysisDAVID Bioinformatics ResourcesGene expression alterationsMetabolism-related pathwaysV4 Expression BeadChipCellular functionsTranscriptome profilesFatty acid metabolismBioinformatics resourcesEnrichment analysisExpression probesBiological pathwaysAssociation studiesAldehyde detoxificationExpression alterationsGenesMitochondrial functionBrain reward regionsAcid metabolism
2013
Integrating GWASs and Human Protein Interaction Networks Identifies a Gene Subnetwork Underlying Alcohol Dependence
Han S, Yang BZ, Kranzler HR, Liu X, Zhao H, Farrer LA, Boerwinkle E, Potash JB, Gelernter J. Integrating GWASs and Human Protein Interaction Networks Identifies a Gene Subnetwork Underlying Alcohol Dependence. American Journal Of Human Genetics 2013, 93: 1027-1034. PMID: 24268660, PMCID: PMC3853414, DOI: 10.1016/j.ajhg.2013.10.021.Peer-Reviewed Original ResearchConceptsGenome-wide association studiesHuman protein interaction networkGene subnetworksProtein interaction networksIntegrating Genome-Wide Association StudyInteraction networksHuman complex disordersSubnetworks of genesGWAS data setsFunctional enrichment analysisAD risk genesEnrichment analysisProtein productsAssociation studiesSignificant genetic contributionGenesGenetics of AlcoholismStudy of AddictionGenetic contributionGeneticsComplex disorderAD etiologyCation transportImportant cluesEuropean descent