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 directionsGenesLoci
2019
Genetic associations with suicide attempt severity and genetic overlap with major depression
Levey DF, Polimanti R, Cheng Z, Zhou H, Nuñez YZ, Jain S, He F, Sun X, Ursano RJ, Kessler RC, Smoller JW, Stein MB, Kranzler HR, Gelernter J. Genetic associations with suicide attempt severity and genetic overlap with major depression. Translational Psychiatry 2019, 9: 22. PMID: 30655502, PMCID: PMC6336846, DOI: 10.1038/s41398-018-0340-2.Peer-Reviewed Original ResearchConceptsGWS associationsGenome-wide significant signalsCircadian clock regulationWide association studyGenetic overlapCatabolism of tyrosineClock regulationFirst GWASSignificant genetic overlapDiscovery GWASChromosome 12Large GWASMolecular mechanismsAssociation studiesChromosome 15Chromosome 18Genetic influencesDiscovery sampleGenetic associationSuicide attempt severityReplication analysisGWASAnaerobic energy productionGenetic risk factorsPolygenic risk scores
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 riskGWASSubnetworks