Featured Publications
Bi-ancestral depression GWAS in the Million Veteran Program and meta-analysis in >1.2 million individuals highlight new therapeutic directions
Levey DF, Stein MB, Wendt FR, Pathak GA, Zhou H, Aslan M, Quaden R, Harrington KM, Nuñez YZ, Overstreet C, Radhakrishnan K, Sanacora G, McIntosh AM, Shi J, Shringarpure SS, Concato J, Polimanti R, Gelernter J. Bi-ancestral depression GWAS in the Million Veteran Program and meta-analysis in >1.2 million individuals highlight new therapeutic directions. Nature Neuroscience 2021, 24: 954-963. PMID: 34045744, PMCID: PMC8404304, DOI: 10.1038/s41593-021-00860-2.Peer-Reviewed Original ResearchConceptsTranscriptome-wide association studyMillion Veteran ProgramTranscriptome-wide association study (TWAS) analysisGenomic risk lociComplex psychiatric traitsGenetic architectureRisk lociGene expressionAssociation studiesLikely pathogenicityPsychiatric traitsVeteran ProgramNew therapeutic directionEuropean ancestryNew insightsAncestryUK BiobankAfrican ancestrySubstantial replicationExpressionLarge independent cohortsGWASTherapeutic directionsGenesLociGenome-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 randomizationGenesLociBiologyHeritabilityGenome-wide association study of post-traumatic stress disorder reexperiencing symptoms in >165,000 US veterans
Gelernter J, Sun N, Polimanti R, Pietrzak R, Levey DF, Bryois J, Lu Q, Hu Y, Li B, Radhakrishnan K, Aslan M, Cheung KH, Li Y, Rajeevan N, Sayward F, Harrington K, Chen Q, Cho K, Pyarajan S, Sullivan PF, Quaden R, Shi Y, Hunter-Zinck H, Gaziano JM, Concato J, Zhao H, Stein MB. Genome-wide association study of post-traumatic stress disorder reexperiencing symptoms in >165,000 US veterans. Nature Neuroscience 2019, 22: 1394-1401. PMID: 31358989, PMCID: PMC6953633, DOI: 10.1038/s41593-019-0447-7.Peer-Reviewed Original ResearchConceptsGenome-wide association studiesAssociation studiesHigh linkage disequilibrium regionLinkage disequilibrium regionWide association studyDisequilibrium regionBioinformatics analysisTranscriptomic profilesMillion Veteran ProgramChromosome 17Genetic risk factorsNew insightsUK Biobank dataReexperiencing of traumaStriatal medium spiny neuronsVeteran ProgramSignificant regionsCAMKVEuropean AmericansBiobank dataMedium spiny neuronsTCF4BiologyKANSL1African American cohortGenome-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 meta-analysis of myasthenia gravis uncovers new loci and provides insights into polygenic prediction
Braun A, Shekhar S, Levey D, Straub P, Kraft J, Panagiotaropoulou G, Heilbron K, Awasthi S, Meleka Hanna R, Hoffmann S, Stein M, Lehnerer S, Mergenthaler P, Elnahas A, Topaloudi A, Koromina M, Palviainen T, Asbjornsdottir B, Stefansson H, Skuladóttir A, Jónsdóttir I, Stefansson K, Reis K, Esko T, Palotie A, Leypoldt F, Stein M, Fontanillas P, Kaprio J, Gelernter J, Davis L, Paschou P, Tannemaat M, Verschuuren J, Kuhlenbäumer G, Gregersen P, Huijbers M, Stascheit F, Meisel A, Ripke S. Genome-wide meta-analysis of myasthenia gravis uncovers new loci and provides insights into polygenic prediction. Nature Communications 2024, 15: 9839. PMID: 39537604, PMCID: PMC11560923, DOI: 10.1038/s41467-024-53595-6.Peer-Reviewed Original ResearchConceptsPerformance of polygenic risk scoresGenome-wide significant hitsGenome-wide association studiesGenome-wide meta-analysisControls of European ancestryGenetic architecturePolygenic risk scoresSignificant hitsAssociation studiesPhenotypic variationPolygenic predictionEuropean ancestryAssociated with early-onsetHuman leukocyte antigen allelesLociEarly-onsetReplication studyNeuromuscular junctionMyasthenia gravisAutoantibody-mediated diseasesAntigen allelesAllelesAncestryDisease manifestationsLate-onset MGAssociation patterns of antisocial personality disorder across substance use disorders
Low A, Stiltner B, Nunez Y, Adhikari K, Deak J, Pietrzak R, Kranzler H, Gelernter J, Polimanti R. Association patterns of antisocial personality disorder across substance use disorders. Translational Psychiatry 2024, 14: 346. PMID: 39198385, PMCID: PMC11358160, DOI: 10.1038/s41398-024-03054-z.Peer-Reviewed Original ResearchConceptsAntisocial personality disorderSubstance use disordersPersonality disorderUse disorderAssociation of antisocial personality disorderPresence of antisocial personality disorderPrevalence of antisocial personality disorderHazardous useDSM-5 SUD diagnosesSubstance use disorder severityDiagnostic criteriaInteraction effects with sexTobacco use disorderDSM-5Association of alcoholSUD diagnosisDisordersCocaineRacial/ethnic backgroundsIndividualsCocUDSeverityCannabisAssociation patternsAssociationDiversity and scale: Genetic architecture of 2068 traits in the VA Million Veteran Program
Verma A, Huffman J, Rodriguez A, Conery M, Liu M, Ho Y, Kim Y, Heise D, Guare L, Panickan V, Garcon H, Linares F, Costa L, Goethert I, Tipton R, Honerlaw J, Davies L, Whitbourne S, Cohen J, Posner D, Sangar R, Murray M, Wang X, Dochtermann D, Devineni P, Shi Y, Nandi T, Assimes T, Brunette C, Carroll R, Clifford R, Duvall S, Gelernter J, Hung A, Iyengar S, Joseph J, Kember R, Kranzler H, Kripke C, Levey D, Luoh S, Merritt V, Overstreet C, Deak J, Grant S, Polimanti R, Roussos P, Shakt G, Sun Y, Tsao N, Venkatesh S, Voloudakis G, Justice A, Begoli E, Ramoni R, Tourassi G, Pyarajan S, Tsao P, O'Donnell C, Muralidhar S, Moser J, Casas J, Bick A, Zhou W, Cai T, Voight B, Cho K, Gaziano J, Madduri R, Damrauer S, Liao K. Diversity and scale: Genetic architecture of 2068 traits in the VA Million Veteran Program. Science 2024, 385: eadj1182. PMID: 39024449, DOI: 10.1126/science.adj1182.Peer-Reviewed Original ResearchConceptsMillion Veteran ProgramNon-European populationsVeteran ProgramGenetic architectureAtlas of genetic associationsVeterans Affairs Million Veteran ProgramVA Million Veteran ProgramGenomic risk lociGenome-wide associationHuman genetic studiesHealth disparitiesUnited States veteransCausal variantsRisk lociGenetic insightsGenetic studiesGenetic associationGenetic causeStates veteransDiverse populationsDisease factorsLack of inclusionLongitudinal studyParticipantsTraitsGenome-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 surfaceA phenome-wide association and Mendelian randomisation study of alcohol use variants in a diverse cohort comprising over 3 million individuals
Jennings M, Martínez-Magaña J, Courchesne-Krak N, Cupertino R, Vilar-Ribó L, Bianchi S, Hatoum A, Atkinson E, Giusti-Rodriguez P, Montalvo-Ortiz J, Gelernter J, Artigas M, 23andMe I, Aslibekyan S, Auton A, Babalola E, Bell R, Bielenberg J, Bryc K, Bullis E, Coker D, Partida G, Dhamija D, Das S, Elson S, Eriksson N, Filshtein T, Fitch A, Fletez-Brant K, Fontanillas P, Freyman W, Granka J, Heilbron K, Hernandez A, Hicks B, Hinds D, Jewett E, Jiang Y, Kukar K, Kwong A, Lin K, Llamas B, Lowe M, McCreight J, McIntyre M, Micheletti S, Moreno M, Nandakumar P, Nguyen D, Noblin E, O'Connell J, Petrakovitz A, Poznik G, Reynoso A, Schumacher M, Shastri A, Shelton J, Shi J, Shringarpure S, Su Q, Tat S, Tchakouté C, Tran V, Tung J, Wang X, Wang W, Weldon C, Wilton P, Wong C, Elson S, Edenberg H, Fontanillas P, Palmer A, Sanchez-Roige S. A phenome-wide association and Mendelian randomisation study of alcohol use variants in a diverse cohort comprising over 3 million individuals. EBioMedicine 2024, 103: 105086. PMID: 38580523, PMCID: PMC11121167, DOI: 10.1016/j.ebiom.2024.105086.Peer-Reviewed Original ResearchConceptsMultiple domains of healthDomains of healthEffects of alcohol consumptionAlcohol consumptionHealth outcomesPhenome-wide association studyAlcohol-related behaviorsCardio-metabolic healthPotential causal effectMendelian randomisation studiesGenome-wide association studiesPhenome-wide associationMR analysisPheWAS associationsMultiple domainsHypothesis-free approachPreventive medicineDiverse cohortPheWASAssociation studiesHealthReproductive healthAlcohol behaviorConsequences of drinkingEuropean cohortAssociation between cannabis use and brain structure and function: an observational and Mendelian randomisation study
Ishrat S, Levey D, Gelernter J, Ebmeier K, Topiwala A. Association between cannabis use and brain structure and function: an observational and Mendelian randomisation study. BMJ Mental Health 2024, 27: e301065. PMID: 39477366, PMCID: PMC11529520, DOI: 10.1136/bmjment-2024-301065.Peer-Reviewed Original ResearchConceptsCannabis useBrain structuresFunctional connectivityHistory of cannabis useResting-state functional connectivityMeasures of brain structureLifetime cannabis useCentral executive networkLifetime cannabis usersWhite matter integrityGenu of the corpus callosumMendelian randomisation analysisAssociated with multiple measuresPoorer white matter integrityInvestigate potential causal relationshipsCannabis usersExecutive networkBrain regionsImaging-derived phenotypesBrain healthCannabisRandomisation analysesTwo-sample Mendelian randomisation analysisFractional anisotropyYoung adulthood
2023
Profiling neuronal methylome and hydroxymethylome of opioid use disorder in the human orbitofrontal cortex
Rompala G, Nagamatsu S, Martínez-Magaña J, Nuñez-Ríos D, Wang J, Girgenti M, Krystal J, Gelernter J, Hurd Y, Montalvo-Ortiz J. Profiling neuronal methylome and hydroxymethylome of opioid use disorder in the human orbitofrontal cortex. Nature Communications 2023, 14: 4544. PMID: 37507366, PMCID: PMC10382503, DOI: 10.1038/s41467-023-40285-y.Peer-Reviewed Original ResearchConceptsOpioid use disorderMulti-omics findingsGene expression patternsCo-methylation analysisGene expression profilesMulti-omics profilingGene networksDNA methylationNeuronal methylomesDNA hydroxymethylationMethylomic analysisExpression patternsExpression profilesEpigenetic disturbancesUse disordersPsychiatric traitsOrbitofrontal cortexOpioid-related drugsPostmortem orbitofrontal cortexEnvironmental factorsDrug interaction analysisOUD treatmentHuman orbitofrontal cortexOpioid signalingInteraction analysisDepression pathophysiology, risk prediction of recurrence and comorbid psychiatric disorders using genome-wide analyses
Als T, Kurki M, Grove J, Voloudakis G, Therrien K, Tasanko E, Nielsen T, Naamanka J, Veerapen K, Levey D, Bendl J, Bybjerg-Grauholm J, Zeng B, Demontis D, Rosengren A, Athanasiadis G, Bækved-Hansen M, Qvist P, Bragi Walters G, Thorgeirsson T, Stefánsson H, Musliner K, Rajagopal V, Farajzadeh L, Thirstrup J, Vilhjálmsson B, McGrath J, Mattheisen M, Meier S, Agerbo E, Stefánsson K, Nordentoft M, Werge T, Hougaard D, Mortensen P, Stein M, Gelernter J, Hovatta I, Roussos P, Daly M, Mors O, Palotie A, Børglum A. Depression pathophysiology, risk prediction of recurrence and comorbid psychiatric disorders using genome-wide analyses. Nature Medicine 2023, 29: 1832-1844. PMID: 37464041, PMCID: PMC10839245, DOI: 10.1038/s41591-023-02352-1.Peer-Reviewed Original ResearchConceptsSingle nucleotide polymorphism heritabilityGenome-wide analysisLikely causal genesFunctional genomics dataRisk variantsWide association studyPolygenic burdenPsychiatric disordersCausal genesPolygenic architectureGenomic dataRisk lociAssociation studiesSubgroups of depressionCause of disabilityDepression genetic riskCommon psychiatric disordersPrecision medicine approachCases of depressionOligodendrocyte lineageGenesLociConsiderable sex differencesGABAergic neuronsPsychiatric comorbidityDoes polygenic risk for substance‐related traits predict ages of onset and progression of symptoms?
Kranzler H, Feinn R, Xu H, Ho B, Saini D, Nicastro O, Jacoby A, Toikumo S, Gelernter J, Hartwell E, Kember R. Does polygenic risk for substance‐related traits predict ages of onset and progression of symptoms? Addiction 2023, 118: 1675-1686. PMID: 37069489, PMCID: PMC10525011, DOI: 10.1111/add.16210.Peer-Reviewed Original ResearchConceptsOpioid use disorderSubstance use disordersProgression of symptomsPolygenic risk scoresAlcohol use disorderUse disordersAfrican ancestry individualsGenetic riskRegular useEuropean ancestry individualsEarly onsetMore rapid progressionRegular alcohol useShorter progression timeAge of onsetFirst substance useDiscovery sampleUS inpatientsOnset of problemsOutpatient settingDisease progressionRapid progressionSymptom progressionRisk scoreGenome-wide association studiesBaseline platelet serotonin in a multi-site treatment study of depression in veterans administration patients: Distribution and effects of demographic variables and serotonin reuptake inhibitors
Anderson G, Ramsey C, Lynch K, Gelernter J, Oslin D. Baseline platelet serotonin in a multi-site treatment study of depression in veterans administration patients: Distribution and effects of demographic variables and serotonin reuptake inhibitors. Journal Of Affective Disorders 2023, 327: 368-377. PMID: 36754092, DOI: 10.1016/j.jad.2023.02.017.Peer-Reviewed Original ResearchConceptsReuptake inhibitorsVeterans Administration patientsTreatment studiesSubset of patientsNorepinephrine reuptake inhibitorsCross-sectional studyEffect of ageDose adjustmentAfrican American individualsDemographic variablesMean plateletDrug exposurePlatelet serotoninSerotonin valuesPatientsClinical implicationsHealth recordsMale groupSSRIsDepressionPlateletsEuropean AmericansInhibitorsSex differencesGroup meansIdentification 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
Dissecting the epigenomic differences between smoking and nicotine dependence in a veteran cohort
Nagamatsu S, Pietrzak R, Xu K, Krystal J, Gelernter J, Montalvo‐Ortiz J. Dissecting the epigenomic differences between smoking and nicotine dependence in a veteran cohort. Addiction Biology 2022, 28: e13259. PMID: 36577721, DOI: 10.1111/adb.13259.Peer-Reviewed Original ResearchConceptsSmoking statusNicotine dependenceVeteran cohortNon-current smokersSerious public health issueNovel treatment strategiesPublic health issueUS military veteransEpigenome-wide association studiesCurrent smokersTreatment strategiesFagerström TestNicotine addictionSmokingHealth issuesRole of epigeneticsMilitary veteransMethylationEPIC BeadChip arraySmokersContinuous variablesF2RL3 geneCohortBiomarkersBeadChip arrayPrevious findingsGenetic liability to suicidal thoughts and behaviors and risk of suicide attempt in US military veterans: moderating effects of cumulative trauma burden
Nichter B, Koller D, De Angelis F, Wang J, Girgenti M, Na P, Hill M, Norman S, Krystal J, Gelernter J, Polimanti R, Pietrzak R. Genetic liability to suicidal thoughts and behaviors and risk of suicide attempt in US military veterans: moderating effects of cumulative trauma burden. Psychological Medicine 2022, 53: 6325-6333. PMID: 36444557, DOI: 10.1017/s0033291722003646.Peer-Reviewed Original ResearchConceptsPolygenic risk scoresUS military veteransLifetime suicide attemptsSuicide attemptsTrauma exposureTrauma burdenGenetic liabilityMilitary veteransDrug repurposing analysisPopulation-based sampleCumulative trauma exposureLifetime trauma exposureLow trauma exposureSuicide prediction modelsChronic inflammationInflammatory processNervous system developmentRisk scorePsychiatric characteristicsSuicidal behaviorExposure interactionsLarge genome-wide association studiesHigh levelsVeteransSuicidalityGenome-Wide Investigation of Maximum Habitual Alcohol Intake in US Veterans in Relation to Alcohol Consumption Traits and Alcohol Use Disorder
Deak JD, Levey DF, Wendt FR, Zhou H, Galimberti M, Kranzler HR, Gaziano JM, Stein MB, Polimanti R, Gelernter J, Muralidhar S, Moser J, Deen J, Gaziano J, Beckham J, Chang K, Tsao P, Luoh S, Casas J, Churby L, Whitbourne S, Brewer J, Brophy M, Selva L, Shayan S, Cho K, Pyarajan S, DuVall S, Connor T, Argyres D, Aslan M, Stephens B, Concato J, Gelernter J, Gleason T, Huang G, Koenen K, Marx C, Radhakrishnan K, Schork N, Stein M, Zhao H, Kaufman J, Nunez Y, Pietrzak R, Beck D, Cissell S, Crutchfield P, Lance W, Cheung K, Li Y, Sun N, Chen Q, Rajeevan N, Sayward F, Gagnon D, Harrington K, Quaden R, O'Leary T, Ramoni R. Genome-Wide Investigation of Maximum Habitual Alcohol Intake in US Veterans in Relation to Alcohol Consumption Traits and Alcohol Use Disorder. JAMA Network Open 2022, 5: e2238880. PMID: 36301540, PMCID: PMC9614582, DOI: 10.1001/jamanetworkopen.2022.38880.Peer-Reviewed Original ResearchConceptsGenome-wide association studiesGenome-wide significant lociGenomic structural equation modelingSignificant lociAlcohol traitsAssociation studiesAfrican ancestry participantsGenome-wide investigationAncestry-specific genome-wide association studiesGenetic correlationsPsychiatric traitsLinkage disequilibrium score regressionGenetic associationStrong genetic correlationSingle nucleotide variantsGenetic architectureGenetic association studiesGenetic lociTop associationsNegative rgEuropean ancestry participantsNucleotide variantsFunctional variantsScore regressionTraitsPsychosocial Factors Associated With Accelerated GrimAge in Male U.S. Military Veterans
Tamman AJF, Nagamatsu S, Krystal JH, Gelernter J, Montalvo-Ortiz JL, Pietrzak RH. Psychosocial Factors Associated With Accelerated GrimAge in Male U.S. Military Veterans. American Journal Of Geriatric Psychiatry 2022, 31: 97-109. PMID: 36210262, DOI: 10.1016/j.jagp.2022.09.002.Peer-Reviewed Original ResearchConceptsRisk factorsPremature mortalityU.S. veteransPsychosocial variablesNovel epigenetic clockLifetime substance use disorderRisk stratification modelMale U.S. veteransCross-sectional studyU.S. veteran populationWeekly physical exerciseSubstance use disordersMale U.S. military veteransBiological agingU.S. military veteransHealth morbidityModifiable correlatesMortality riskSleep qualityHigh riskGreater oddsUse disordersPhysical exercisePsychosocial factorsVeteran populationSex-Specific Genetic and Transcriptomic Liability to Neuroticism
Wendt FR, Pathak GA, Singh K, Stein MB, Koenen KC, Krystal JH, Gelernter J, Davis LK, Polimanti R. Sex-Specific Genetic and Transcriptomic Liability to Neuroticism. Biological Psychiatry 2022, 93: 243-252. PMID: 36244801, PMCID: PMC10508260, DOI: 10.1016/j.biopsych.2022.07.019.Peer-Reviewed Original ResearchConceptsGenome-wide association studiesTranscriptomic profilesAssociation studiesSingle nucleotide polymorphism heritabilityGene expression variationGenome-wide significanceSex-specific geneticChromosomal variationTranscriptomic changesRisk lociExpression variationBiological processesMolecular pathwaysLociPolygenic associationSex-specific effectsGenetic correlatesPolygenic scoresUK BiobankGenetic riskNCOA6GeneticsHeritabilityPathwayFemales