Featured Publications
Network assisted analysis of de novo variants using protein-protein interaction information identified 46 candidate genes for congenital heart disease
Xie Y, Jiang W, Dong W, Li H, Jin SC, Brueckner M, Zhao H. Network assisted analysis of de novo variants using protein-protein interaction information identified 46 candidate genes for congenital heart disease. PLOS Genetics 2022, 18: e1010252. PMID: 35671298, PMCID: PMC9205499, DOI: 10.1371/journal.pgen.1010252.Peer-Reviewed Original ResearchMeSH KeywordsAnimalsCase-Control StudiesCohort StudiesExomeExome SequencingHeart Defects, CongenitalHumansMiceTranscriptomic organization of the human brain in post-traumatic stress disorder
Girgenti MJ, Wang J, Ji D, Cruz DA, Stein M, Gelernter J, Young K, Huber B, Williamson D, Friedman M, Krystal J, Zhao H, Duman R. Transcriptomic organization of the human brain in post-traumatic stress disorder. Nature Neuroscience 2020, 24: 24-33. PMID: 33349712, DOI: 10.1038/s41593-020-00748-7.Peer-Reviewed Original ResearchMeSH KeywordsAdultAutopsyBrain ChemistryCohort StudiesDepressive Disorder, MajorFemaleGene Expression RegulationGene Regulatory NetworksGenetic Predisposition to DiseaseGenome-Wide Association StudyHumansInterneuronsMaleMiddle AgedNerve Tissue ProteinsSex CharacteristicsStress Disorders, Post-TraumaticTranscriptomeYoung AdultConceptsGenome-wide association studiesSignificant gene networksDifferential gene expressionSystems-level evidenceSignificant genetic liabilityMajor depressive disorder cohortGene networksTranscriptomic organizationTranscriptomic landscapeDownregulated setsGenomic networksGene expressionAssociation studiesMolecular determinantsExtensive remodelingGenotype dataSexual dimorphismSignificant divergenceMolecular profileNetwork analysisELFN1TranscriptsDimorphismPostmortem tissueDivergence
2020
Genome-wide association study of smoking trajectory and meta-analysis of smoking status in 842,000 individuals
Xu K, Li B, McGinnis KA, Vickers-Smith R, Dao C, Sun N, Kember RL, Zhou H, Becker WC, Gelernter J, Kranzler HR, Zhao H, Justice AC. Genome-wide association study of smoking trajectory and meta-analysis of smoking status in 842,000 individuals. Nature Communications 2020, 11: 5302. PMID: 33082346, PMCID: PMC7598939, DOI: 10.1038/s41467-020-18489-3.Peer-Reviewed Original ResearchConceptsGenome-wide association studiesLarge genome-wide association studiesMillion Veteran ProgramAssociation studiesExpression quantitative trait lociQuantitative trait lociChromatin interactionsComplex traitsFunctional annotationTrait lociSequencing ConsortiumDozen genesSignificant lociSmoking phenotypesLociMultiple populationsNew insightsPhenotypeVeteran ProgramGenetic vulnerabilityGenesTraitsAnnotationEuropean AmericansConsortium
2019
Genome-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 cohortGender Differences in Demographic and Health Characteristics of the Million Veteran Program Cohort
Harrington K, Nguyen X, Song R, Hannagan K, Quaden R, Gagnon D, Cho K, Deen J, Muralidhar S, O’Leary T, Gaziano J, Whitbourne S, Gaziano J, Ramoni R, Breeling J, Chang K, Huang G, Muralidhar S, O’Donnell C, Tsao P, Muralidhar S, Moser J, Whitbourne S, Brewer J, Concato J, Warren S, Pharm D, Argyres D, Tsao P, Gaziano J, Stephens B, Brophy M, Humphries D, Do N, Shayan S, Nguyen X, O’Donnell C, Pyarajan S, Tsao P, Cho K, Pyarajan S, Hauser E, Sun Y, Zhao H, Wilson P, McArdle R, Dellitalia L, Harley J, Whittle J, Beckham J, Wells J, Gutierrez S, Gibson G, Kaminsky L, Villareal G, Kinlay S, Xu J, Hamner M, Haddock K, Bhushan S, Iruvanti P, Godschalk M, Ballas Z, Buford M, Mastorides S, Klein J, Ratcliffe N, Florez H, Swann A, Murdoch M, Sriram P, Yeh S, Washburn R, Jhala D, Aguayo S, Cohen D, Sharma S, Callaghan J, Oursler K, Whooley M, Ahuja S, Gutierrez A, Schifman R, Greco J, Rauchman M, Servatius R, Oehlert M, Wallbom A, Fernando R, Morgan T, Stapley T, Sherman S, Anderson G, Tsao P, Sonel E, Boyko E, Meyer L, Gupta S, Fayad J, Hung A, Lichy J, Hurley R, Robey B, Striker R. Gender Differences in Demographic and Health Characteristics of the Million Veteran Program Cohort. Women's Health Issues 2019, 29: s56-s66. PMID: 31253243, PMCID: PMC7061933, DOI: 10.1016/j.whi.2019.04.012.Peer-Reviewed Original ResearchMeSH KeywordsAdultAgedCardiovascular DiseasesCohort StudiesFemaleHealth StatusHumansMaleMental DisordersMiddle AgedMigraine DisordersMusculoskeletal DiseasesPhysical FitnessPrevalenceSex DistributionSex FactorsSmokingSurveys and QuestionnairesUnited StatesUnited States Department of Veterans AffairsVeteransVeterans HealthYoung AdultConceptsMillion Veteran ProgramHealth characteristicsHealth statusSelf-reported health conditionsHealth conditionsHealth care characteristicsResearch participation ratesWomen Veteran populationExcellent health statusMillion Veteran Program cohortVeterans Health AdministrationPoor physical fitnessMental health disordersMVP cohortGender differencesSurvey completion rateResponder rateDecreased prevalenceMusculoskeletal conditionsMedical historyHigh cholesterolCardiovascular diseaseMigraine headacheCare characteristicsLifetime smoking
2018
Effects of Genetic Variants Associated with Familial Hypercholesterolemia on Low-Density Lipoprotein-Cholesterol Levels and Cardiovascular Outcomes in the Million Veteran Program
Sun Y, Damrauer S, Hui Q, Assimes T, Ho Y, Natarajan P, Klarin D, Huang J, Lynch J, DuVall S, Pyarajan S, Honerlaw J, Gaziano J, Cho K, Rader D, O’Donnell C, Tsao P, Wilson P, Ramoni R, Breeling J, Chang K, Huang G, Muralidhar S, Muralidhar S, Moser J, Whitbourne S, Brewer J, Concato J, Warren S, Argyres D, Stephens B, Brophy M, Humphries D, Do N, Shayan S, Nguyen X, Hauser E, Sun Y, Zhao H, Wilson P, McArdle R, Dellitalia L, Harley J, Whittle J, Beckham J, Wells J, Gutierrez S, Gibson G, Kaminsky L, Villareal G, Kinlay S, Xu J, Hamner M, Haddock K, Bhushan S, Iruvanti P, Godschalk M, Ballas Z, Buford M, Mastorides S, Klein J, Ratcliffe N, Florez H, Swann A, Murdoch M, Sriram P, Yeh S, Washburn R, Jhala D, Aguayo S, Cohen D, Sharma S, Callaghan J, Oursler K, Whooley M, Ahuja S, Gutierrez A, Schifman R, Greco J, Rauchman M, Servatius R, Oehlert M, Wallbom A, Fernando R, Morgan T, Stapley T, Sherman S, Anderson G, Tsao P, Sonel E, Boyko E, Meyer L, Gupta S, Fayad J, Hung A, Lichy J, Hurley R, Robey B, Striker R. Effects of Genetic Variants Associated with Familial Hypercholesterolemia on Low-Density Lipoprotein-Cholesterol Levels and Cardiovascular Outcomes in the Million Veteran Program. Circulation Genomic And Precision Medicine 2018, 11 PMID: 31106297, PMCID: PMC6516478, DOI: 10.1161/circgen.118.002192.Peer-Reviewed Original ResearchConceptsCoronary heart diseasePathogenic FH variantsFamilial hypercholesterolemiaFH variantsClinical outcomesHigh prevalenceLow-density lipoprotein cholesterolPremature coronary heart diseasePeripheral artery diseaseLDL-C levelsLow-density lipoproteinMulti-ethnic populationCardiovascular outcomesArtery diseaseLipoprotein cholesterolCholesterol levelsHeart diseaseMillion Veteran ProgramRisk individualsPhenome-wide scanGenetic Variants AssociatedClinical diagnosisClinical encountersHypercholesterolemiaMulti-ethnic participantsTranslational studies support a role for serotonin 2B receptor (HTR2B) gene in aggression-related cannabis response
Montalvo-Ortiz JL, Zhou H, D’Andrea I, Maroteaux L, Lori A, Smith A, Ressler KJ, Nuñez YZ, Farrer LA, Zhao H, Kranzler HR, Gelernter J. Translational studies support a role for serotonin 2B receptor (HTR2B) gene in aggression-related cannabis response. Molecular Psychiatry 2018, 23: 2277-2286. PMID: 29875475, PMCID: PMC6281782, DOI: 10.1038/s41380-018-0077-6.Peer-Reviewed Original ResearchConceptsGrady Trauma ProjectAfrican AmericansWild-type miceReceptor geneEffects of cannabisWide significant risk lociResident-intruder paradigmImpulsivity/aggressionConcordant findingsTHC administrationKnockout miceTranslational studiesAA subjectsCannabis useStudy designTrauma ProjectAdverse effectsMiceCannabisAggressive behaviorEuropean AmericansNominal associationAdverse consequencesGenome-wide association study (GWAS) designRisk loci