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
2022
Genetic variants associated with psychiatric disorders are enriched at epigenetically active sites in lymphoid cells
Lynall ME, Soskic B, Hayhurst J, Schwartzentruber J, Levey DF, Pathak GA, Polimanti R, Gelernter J, Stein MB, Trynka G, Clatworthy MR, Bullmore E. Genetic variants associated with psychiatric disorders are enriched at epigenetically active sites in lymphoid cells. Nature Communications 2022, 13: 6102. PMID: 36243721, PMCID: PMC9569335, DOI: 10.1038/s41467-022-33885-7.Peer-Reviewed Original ResearchConceptsMultiple psychiatric disordersPsychiatric disordersPsychiatric risk variantT cellsLymphoid cellsRisk variantsImmune cell subsetsMental health disordersMultiple organ systemsAdaptive immune systemCell subsetsImmune cellsHealth disordersMyeloid cellsImmune systemBrain tissueOrgan systemsSpecific disordersDisordersPathogenesisAbnormalitiesGenetic variantsCellsCD4Variants
2012
Convergent functional genomics of schizophrenia: from comprehensive understanding to genetic risk prediction
Ayalew M, Le-Niculescu H, Levey DF, Jain N, Changala B, Patel SD, Winiger E, Breier A, Shekhar A, Amdur R, Koller D, Nurnberger JI, Corvin A, Geyer M, Tsuang MT, Salomon D, Schork NJ, Fanous AH, O'Donovan MC, Niculescu AB. Convergent functional genomics of schizophrenia: from comprehensive understanding to genetic risk prediction. Molecular Psychiatry 2012, 17: 887-905. PMID: 22584867, PMCID: PMC3427857, DOI: 10.1038/mp.2012.37.Peer-Reviewed Original ResearchConceptsTop candidate genesCandidate genesG protein-coupled receptor signalingGenome-wide association study dataFunctional genomics approachReceptor signalingConvergent functional genomics approachAssociation study dataGene expression studiesFunctional genomicsGenomic approachesGlutamate receptor signalingSignificant genetic overlapSingle nucleotide polymorphismsEnvironmental stressTop genesExpression studiesPathway analysisBiological pathwaysGenetic risk predictionGenesCell adhesionBiological landscapeGenetic overlapSignaling