Featured Publications
Depression 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 comorbidityTowards understanding and predicting suicidality in women: biomarkers and clinical risk assessment
Levey DF, Niculescu EM, Le-Niculescu H, Dainton HL, Phalen PL, Ladd TB, Weber H, Belanger E, Graham DL, Khan FN, Vanipenta NP, Stage EC, Ballew A, Yard M, Gelbart T, Shekhar A, Schork NJ, Kurian SM, Sandusky GE, Salomon DR, Niculescu AB. Towards understanding and predicting suicidality in women: biomarkers and clinical risk assessment. Molecular Psychiatry 2016, 21: 768-785. PMID: 27046645, DOI: 10.1038/mp.2016.31.Peer-Reviewed Original ResearchConceptsFuture hospitalizationConvergent functional genomics approachSuicide completersPrimary end pointSingle blood biomarkerTop biomarkersReceiver-operating characteristic areaRisk prediction scoreClinical risk assessmentDisorder participantsIndependent test cohortForm of APPProphylactic benefitNeurotrophic effectsBlood biomarkersSleep abnormalitiesPsychiatric hospitalizationHospitalizationMood disordersTest cohortCandidate biomarkersSuicide completionSuicidal ideationDrug lithiumChronic stress
2024
Whole-exome sequencing in UK Biobank reveals rare genetic architecture for depression
Tian R, Ge T, Kweon H, Rocha D, Lam M, Liu J, Singh K, Levey D, Gelernter J, Stein M, Tsai E, Huang H, Chabris C, Lencz T, Runz H, Chen C. Whole-exome sequencing in UK Biobank reveals rare genetic architecture for depression. Nature Communications 2024, 15: 1755. PMID: 38409228, PMCID: PMC10897433, DOI: 10.1038/s41467-024-45774-2.Peer-Reviewed Original ResearchConceptsGenome-wide association studiesRare coding variantsWhole-exome sequencingGenetic architectureGenetic relationshipsLoss-of-function intolerant genesContribution of rare coding variantsRare damagingAssociated with risk of depressionElectronic health recordsUK Biobank participantsPolygenic risk scoresRisk of depressionAssociated with riskIntolerant genesRisk lociAssociation studiesCoding variantsBiobank participantsHealth recordsUK BiobankDepression definitionsDepression riskBurden analysisRare variants
2023
Epidemiologic and Genetic Associations of Endometriosis With Depression, Anxiety, and Eating Disorders
Koller D, Pathak G, Wendt F, Tylee D, Levey D, Overstreet C, Gelernter J, Taylor H, Polimanti R. Epidemiologic and Genetic Associations of Endometriosis With Depression, Anxiety, and Eating Disorders. JAMA Network Open 2023, 6: e2251214. PMID: 36652249, PMCID: PMC9856929, DOI: 10.1001/jamanetworkopen.2022.51214.Peer-Reviewed Original ResearchMeSH KeywordsAnxietyDepressionEndometriosisFeeding and Eating DisordersFemaleGenome-Wide Association StudyHumansConceptsPsychiatric comorbidityMAIN OUTCOMEMental healthIrritable bowel syndromeBody mass indexAssociation of endometriosisOdds of depressionSevere physical symptomsPain-related phenotypesWomen's mental healthMultivariate regression analysisOdds of endometriosisBowel syndromeGenetic associationMass indexGynecologic pathologyMillion Veteran ProgramEndometriosisPsychiatric disordersWomen's healthFemale controlsPleiotropic mechanismsPhysical symptomsComorbiditiesFinnGen study
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