Featured Publications
Reproducible Genetic Risk Loci for Anxiety: Results From ∼200,000 Participants in the Million Veteran Program
Levey DF, Gelernter J, Polimanti R, Zhou H, Cheng Z, Aslan M, Quaden R, Concato J, Radhakrishnan K, Bryois J, Sullivan PF, Stein M. Reproducible Genetic Risk Loci for Anxiety: Results From ∼200,000 Participants in the Million Veteran Program. American Journal Of Psychiatry 2020, 177: 223-232. PMID: 31906708, PMCID: PMC7869502, DOI: 10.1176/appi.ajp.2019.19030256.Peer-Reviewed Original ResearchConceptsNovel genome-wide significant associationsGene expressionGenome-wide significant signalsGenome-wide significant associationMillion Veteran ProgramWide association studyGenetic risk lociSignificant genetic correlationsGenetic risk mechanismsGenetic architectureGlobal regulatorChromosome 3Risk lociChromosome 6Chromosome 7Association studiesLargest GWASLarge biobanksGlobal regulationGenetic correlationsContinuous traitsVeteran ProgramGWASsLociPrevious GWASsGenome-wide association analyses of post-traumatic stress disorder and its symptom subdomains in the Million Veteran Program
Stein MB, Levey DF, Cheng Z, Wendt FR, Harrington K, Pathak GA, Cho K, Quaden R, Radhakrishnan K, Girgenti MJ, Ho YA, Posner D, Aslan M, Duman RS, Zhao H, Polimanti R, Concato J, Gelernter J. Genome-wide association analyses of post-traumatic stress disorder and its symptom subdomains in the Million Veteran Program. Nature Genetics 2021, 53: 174-184. PMID: 33510476, PMCID: PMC7972521, DOI: 10.1038/s41588-020-00767-x.Peer-Reviewed Original ResearchConceptsGenome-wide association analysisAssociation analysisMillion Veteran ProgramGenomic structural equation modelingSignificant lociGenetic varianceGene expressionDrug repositioning candidatesBiological coherenceVeteran ProgramMultiple testing correctionSymptom phenotypeLociRepositioning candidatesAfrican ancestryHeritabilityPhenotypeAncestryExpressionPTSD symptom factorsRegionSubdomainsEnrichment
2023
Towards precision medicine for anxiety disorders: objective assessment, risk prediction, pharmacogenomics, and repurposed drugs
Roseberry K, Le-Niculescu H, Levey D, Bhagar R, Soe K, Rogers J, Palkowitz S, Pina N, Anastasiadis W, Gill S, Kurian S, Shekhar A, Niculescu A. Towards precision medicine for anxiety disorders: objective assessment, risk prediction, pharmacogenomics, and repurposed drugs. Molecular Psychiatry 2023, 28: 2894-2912. PMID: 36878964, PMCID: PMC10615756, DOI: 10.1038/s41380-023-01998-0.Peer-Reviewed Original ResearchConceptsIndependent cohortCandidate biomarkersPsychiatric subjectsPersonalized approachConvergent functional genomics approachAnxiety disordersBest overall evidenceAdverse life eventsClinical worseningGene expression signaturesBlood biomarkersAnxiety medicationClinical utilityPsychiatric disordersHigh anxiety stateSevere anxietyUntreated anxietyDecrease qualityIndividual biomarkersAddiction potentialBiomarkersTop biomarkersAnxiety statesRisk predictionExpression signatures
2022
Using phenotype risk scores to enhance gene discovery for generalized anxiety disorder and posttraumatic stress disorder
Wendt FR, Pathak GA, Deak JD, De Angelis F, Koller D, Cabrera-Mendoza B, Lebovitch DS, Levey DF, Stein MB, Kranzler HR, Koenen KC, Gelernter J, Huckins LM, Polimanti R. Using phenotype risk scores to enhance gene discovery for generalized anxiety disorder and posttraumatic stress disorder. Molecular Psychiatry 2022, 27: 2206-2215. PMID: 35181757, PMCID: PMC9133008, DOI: 10.1038/s41380-022-01469-y.Peer-Reviewed Original Research
2021
Genetic contributions to anxiety disorders: where we are and where we are heading
Ask H, Cheesman R, Jami ES, Levey DF, Purves KL, Weber H. Genetic contributions to anxiety disorders: where we are and where we are heading. Psychological Medicine 2021, 51: 2231-2246. PMID: 33557968, DOI: 10.1017/s0033291720005486.Peer-Reviewed Original ResearchConceptsLarge-scale genome-wide association studiesGenome-wide association studiesGenetics of anxietyGenome-wide studiesRelated traitsAssociation studiesGeneticsGenetic contributionSpecific gene-environment interactionsGene-environment interactionsCurrent knowledgeTraitsNew therapeuticsSuch discoveriesDiscoveryNew research possibilitiesLifespanTherapeuticsCircuit mechanismsTranslation
2017
Precision medicine for suicidality: from universality to subtypes and personalization
Niculescu A, Le-Niculescu H, Levey D, Phalen P, Dainton H, Roseberry K, Niculescu E, Niezer J, Williams A, Graham D, Jones T, Venugopal V, Ballew A, Yard M, Gelbart T, Kurian S, Shekhar A, Schork N, Sandusky G, Salomon D. Precision medicine for suicidality: from universality to subtypes and personalization. Molecular Psychiatry 2017, 22: 1250-1273. PMID: 28809398, PMCID: PMC5582166, DOI: 10.1038/mp.2017.128.Peer-Reviewed Original ResearchConceptsSuicidal ideationIndependent cohortPersonalized approachFuture hospitalizationPsychiatric diagnosisCandidate biomarkersUniversal biomarkerBlood gene expression biomarkersBiology of suicideTop biomarkersNovel predictive biomarkerHigh-risk groupNon-psychiatric disordersDrug repurposing analysisPublic health problemMonitoring of responseNovel potential therapeuticsHigher suicidal ideationPredictive biomarkersClinical trialsComprehensive stepwise approachRisk groupsLarge cohortMood disordersPreventive therapeutics