2024
Further evidence for the association between childhood trauma and suicidal ideation in young individuals: A twin based study
Moreno-Gamazo N, Pries L, Marqués-Feixa L, Papiol S, Romero S, Menne-Lothmann C, Decoster J, van Winkel R, Collip D, Delespaul P, De Hert M, Derom C, Thiery E, Jacobs N, Wichers M, van Os J, Rutten B, Fañanás L, Guloksuz S. Further evidence for the association between childhood trauma and suicidal ideation in young individuals: A twin based study. Journal Of Affective Disorders 2024, 370: 118-123. PMID: 39488234, DOI: 10.1016/j.jad.2024.10.125.Peer-Reviewed Original ResearchChildhood traumaSuicidal ideationPsychiatric evaluation of patientsSCL-90-R.Environmental risk factorsGene-environment correlationHistory of CTSample of twinsTwin analysesGenetic vulnerabilityPsychiatric evaluationRisk factorsTwin studiesTwin pairsPhysical abuseEvaluation of patientsDizygotic twinsGenetic riskIdeationProtective factorsPsychosocial environmentIndividual characteristicsGenetic predispositionIncreased riskTotal CT
2023
Clustering Schizophrenia Genes by Their Temporal Expression Patterns Aids Functional Interpretation
van der Meer D, Cheng W, Rokicki J, Fernandez-Cabello S, Shadrin A, Smeland O, Ehrhart F, Gülöksüz S, Pries L, Lin B, Rutten B, van Os J, O’Donovan M, Richards A, Steen N, Djurovic S, Westlye L, Andreassen O, Kaufmann T, Aguilar E, Akdede B, Alptekin K, Altınyazar V, Amoretti S, Andric-Petrovic S, Arango C, Arrojo M, Atbaşoğlu C, Bernardo M, Binbay T, Bobes J, Cankurtaran E, Carracedo A, Cihan B, Delespaul P, García-Portilla M, González-Peñas J, Guloksuz S, Gümüş-Akay G, Jiménez-López E, Ulusoy Kaymak S, Kenis G, Lin B, López G, Luykx J, Maric N, Mezquida G, Mihaljevic M, Mirjanic T, Parellada M, Pries K, Rivero O, Rutten B, Saiz P, Can Saka M, Sanjuan J, Luis Santos J, Soygür H, Üçok A, Ulaş H, van Os J, Yalınçetin B, Alizadeh B, van Amelsvoort T, Cahn W, de Haan L, Schirmbeck F, van Os J, Veling W. Clustering Schizophrenia Genes by Their Temporal Expression Patterns Aids Functional Interpretation. Schizophrenia Bulletin 2023, 50: 327-338. PMID: 37824720, PMCID: PMC10919784, DOI: 10.1093/schbul/sbad140.Peer-Reviewed Original ResearchAge-matched healthy controlsBrain maturational processesIndependent clinical cohortsOnset of symptomsPolygenic riskCortical tissue samplesGenetic risk factorsDevelopment of schizophreniaHeritable brain disorderSymptom onsetHealthy controlsRisk factorsClinical cohortEarly neurodevelopmentPolygenic risk scoresRisk scoreImmune systemSchizophrenia diagnosisBrain disordersSchizophreniaNeuronal communicationStrong associationEarly adulthoodTissue samplesMaturational processesT15. THE ADDITIVE VALUE OF BRAIN LIFESTYLE IN THE EXPLANATORY ABILITY OF POLYGENIC RISK PROFILES ON COGNITIVE PERFORMANCE IN AGING INDIVIDUALS
Zhang Y, Gülöksüz S, Stehouwer C, Greevenbroek M, Köhler S, Eussen S, Bosma H, Boxtel M, Schram M, Linden D, Rutten B, Blokland G. T15. THE ADDITIVE VALUE OF BRAIN LIFESTYLE IN THE EXPLANATORY ABILITY OF POLYGENIC RISK PROFILES ON COGNITIVE PERFORMANCE IN AGING INDIVIDUALS. European Neuropsychopharmacology 2023, 75: s169-s170. DOI: 10.1016/j.euroneuro.2023.08.303.Peer-Reviewed Original ResearchPolygenic risk scoresCognitive domainsCognitive functionHeritability of cognitive functionsEffect of polygenic risk scoresEnvironmental influencesThe Maastricht StudyPotential cognitive deficitsOverall cognitive functionBrain health indexImpact cognitive healthRisk factorsGenetic predispositionGene-environment interactionsCardio-metabolic diseasesLIBRA scoresNon-adjusted modelCognitive phenotypesCognitive deficitsCognitive performanceCognitive healthLifestyle factorsOverall cognitionBrain structuresMental healthAssociations Between Childhood Area-Level Social Fragmentation, Maladaptation to School, and Social Functioning Among Healthy Youth and Those at Clinical High Risk for Psychosis
Ku B, Addington J, Bearden C, Cadenhead K, Cannon T, Compton M, Cornblatt B, Druss B, Gülöksüz S, Mathalon D, Perkins D, Tsuang M, Walker E, Woods S, Carrión R. Associations Between Childhood Area-Level Social Fragmentation, Maladaptation to School, and Social Functioning Among Healthy Youth and Those at Clinical High Risk for Psychosis. Schizophrenia Bulletin 2023, 49: 1437-1446. PMID: 37358832, PMCID: PMC10686327, DOI: 10.1093/schbul/sbad093.Peer-Reviewed Original ResearchConceptsClinical high riskHealthy comparisonsSocial functioningHigh riskPoor social functioningNorth American Prodrome Longitudinal StudyImportant risk factorRisk factorsPsychotic disordersEffective interventionsHealthy youthChildhoodLongitudinal studyAdulthoodPsychosisAssociationAdultsMaladaptationRiskSocial deficitsFurther researchFunctioningCommunity levelAssociations between genetic liabilities to smoking behavior and schizophrenia symptoms in patients with a psychotic disorder, their siblings and healthy controls
Lin B, Vermeulen J, Bolhuis K, Chang X, Schirmbeck F, van Eijk K, investigators G, Alizadeh B, Bartels-Velthuis A, van Amelsvoort T, Bruggeman R, Cahn W, de Haan L, Rutten B, Guloksuz S, Luykx J, van Os J, Simons C, van Winkel R, Guloksuz S, Blankers M, van den Brink W, de Haan L, Luykx J. Associations between genetic liabilities to smoking behavior and schizophrenia symptoms in patients with a psychotic disorder, their siblings and healthy controls. Psychiatry Research 2023, 323: 115143. PMID: 36948018, DOI: 10.1016/j.psychres.2023.115143.Peer-Reviewed Original ResearchConceptsHealthy controlsSmoking behaviorPsychotic symptomsSchizophrenia symptomsUnaffected siblingsProspective cohort studySix-year followMental health symptomsSymptom dimensionsCohort studyRisk factorsDepressive symptomsPsychotic disordersPatientsPositive symptomsHealth symptomsNegative symptomsSimilar effect sizesSymptomsLinear mixed-effects modelsMixed-effects modelsGenetic riskMean numberPolygenic scoresOverall sample
2022
Shedding light on the etiology of neurodegenerative diseases and dementia: the exposome paradigm
Cavaliere F, Gülöksüz S. Shedding light on the etiology of neurodegenerative diseases and dementia: the exposome paradigm. Npj Mental Health Research 2022, 1: 20. PMID: 38609523, PMCID: PMC10956007, DOI: 10.1038/s44184-022-00018-3.Peer-Reviewed Original Research
2021
Schizophrenia and the Environment: Within-Person Analyses May be Required to Yield Evidence of Unconfounded and Causal Association—The Example of Cannabis and Psychosis
van Os J, Pries L, Have M, de Graaf R, van Dorsselaer S, Bak M, Wittchen H, Rutten B, Guloksuz S. Schizophrenia and the Environment: Within-Person Analyses May be Required to Yield Evidence of Unconfounded and Causal Association—The Example of Cannabis and Psychosis. Schizophrenia Bulletin 2021, 47: 594-603. PMID: 33693921, PMCID: PMC8084443, DOI: 10.1093/schbul/sbab019.Peer-Reviewed Original ResearchConceptsFixed-effects modelCannabis usePsychotic experiencesGeneral population cohortRandom-effects modelMental health outcomesRisk factorsTime-varying confoundersProspective associationsPopulation cohortHealth outcomesOwn controlCausal associationPsychosisCannabisLongitudinal studyAssociationBetween-person levelConfoundersCohortIncidenceSchizophrenia
2020
Evidence, and replication thereof, that molecular-genetic and environmental risks for psychosis impact through an affective pathway
van Os J, Pries L, Have M, de Graaf R, van Dorsselaer S, Delespaul P, Bak M, Kenis G, Lin B, Luykx J, Richards A, Akdede B, Binbay T, Altınyazar V, Yalınçetin B, Gümüş-Akay G, Cihan B, Soygür H, Ulaş H, Cankurtaran E, Kaymak S, Mihaljevic M, Petrovic S, Mirjanic T, Bernardo M, Mezquida G, Amoretti S, Bobes J, Saiz P, García-Portilla M, Sanjuan J, Aguilar E, Santos J, Jiménez-López E, Arrojo M, Carracedo A, López G, González-Peñas J, Parellada M, Maric N, Atbaşoğlu C, Ucok A, Alptekin K, Saka M, Arango C, O'Donovan M, Rutten B, Guloksuz S. Evidence, and replication thereof, that molecular-genetic and environmental risks for psychosis impact through an affective pathway. Psychological Medicine 2020, 52: 1910-1922. PMID: 33070791, DOI: 10.1017/s0033291720003748.Peer-Reviewed Original ResearchConceptsSchizophrenia spectrum disordersChildhood adversityRisk factorsNEMESIS-2Affective dysregulationNon-genetic risk factorsSignificant depressive symptomsSample of patientsRepresentative general population sampleGenetic risk factorsGeneral population sampleSchizophrenia polygenic riskPsychosis outcomesSpectrum disorderDepressive symptomsPRS-SZPolygenic riskDysregulationPatientsPopulation samplePsychosisAffective pathwayDisordersHallucinatory experiencesDelusional ideationDo Current Measures of Polygenic Risk for Mental Disorders Contribute to Population Variance in Mental Health?
Marsman A, Pries L, Have M, de Graaf R, van Dorsselaer S, Bak M, Kenis G, Lin B, Luykx J, Rutten B, Guloksuz S, van Os J. Do Current Measures of Polygenic Risk for Mental Disorders Contribute to Population Variance in Mental Health? Schizophrenia Bulletin 2020, 46: 1353-1362. PMID: 33259628, PMCID: PMC7707067, DOI: 10.1093/schbul/sbaa086.Peer-Reviewed Original ResearchMeSH KeywordsAdolescentAdultAdverse Childhood ExperiencesAgedFamilyFemaleGenetic Predisposition to DiseaseHealth SurveysHumansLife Change EventsLongitudinal StudiesMaleMarijuana UseMiddle AgedMultifactorial InheritanceNetherlandsPsychotic DisordersSchizophreniaSocioeconomic FactorsUrban PopulationYoung AdultConceptsPolygenic risk scoresSchizophrenia polygenic risk scoresMental healthFamily historyNetherlands Mental Health SurveyPopulation-based studyPolygenic riskChildhood traumaMental Health SurveyMental health changesEnvironmental risk factorsGeneral mental healthPopulation mental healthGeneral population sampleSomatic painRisk factorsHealth SurveyRisk scorePRS-SZBipolar disorderEpidemiological settingsMental disordersHealth changesAttributable variationPainEvidence for an interrelated cluster of Hallucinatory experiences in the general population: an incidence study
Moriyama T, Drukker M, Guloksuz S, Have M, de Graaf R, van Dorsselaer S, Gunther N, Bak M, van Os J. Evidence for an interrelated cluster of Hallucinatory experiences in the general population: an incidence study. Psychological Medicine 2020, 51: 2034-2043. PMID: 32317030, DOI: 10.1017/s0033291720000793.Peer-Reviewed Original ResearchConceptsRisk factorsProspective general population cohortGeneral population cohortIncidence of hallucinationsNon-psychotic disordersEnvironmental risk factorsTerms of prevalenceSelf-reported ratesYearly incidenceOlfactory hallucinationsVisual hallucinationsFunctional impairmentNEMESIS-2General populationPsychotic disordersHallucinatory experiencesPopulation cohortIncidence studyAuditory hallucinationsDelusional ideationCommon underlying mechanismMental disordersIncidenceNEMESIS-1Subsequent course
2019
White Noise Speech Illusions: A Trait-Dependent Risk Marker for Psychotic Disorder?
Schepers E, Lousberg R, Guloksuz S, Pries L, Delespaul P, Kenis G, Luykx J, Lin B, Richards A, Akdede B, Binbay T, Altınyazar V, Yalınçetin B, Gümüş-Akay G, Cihan B, Soygür H, Ulaş H, Cankurtaran E, Kaymak S, Mihaljevic M, Petrovic S, Mirjanic T, Bernardo M, Cabrera B, Bobes J, Saiz P, García-Portilla M, Sanjuan J, Aguilar E, Santos J, Jiménez-López E, Arrojo M, Carracedo A, López G, González-Peñas J, Parellada M, Maric N, Atbaşoğlu C, Ucok A, Alptekin K, Saka M, Arango C, Rutten B, van Os J. White Noise Speech Illusions: A Trait-Dependent Risk Marker for Psychotic Disorder? Frontiers In Psychiatry 2019, 10: 676. PMID: 31607966, PMCID: PMC6774265, DOI: 10.3389/fpsyt.2019.00676.Peer-Reviewed Original ResearchOrganization framework and preliminary findings from the Athens First‐Episode Psychosis Research Study
Xenaki L, Kollias C, Stefanatou P, Ralli I, Soldatos R, Dimitrakopoulos S, Hatzimanolis A, Triantafyllou T, Kosteletos I, Vlachos I, Selakovic M, Foteli S, Mantonakis L, Ermiliou V, Voulgaraki M, Psarra E, Gülöksüz S, van Os J, Stefanis N. Organization framework and preliminary findings from the Athens First‐Episode Psychosis Research Study. Early Intervention In Psychiatry 2019, 14: 343-355. PMID: 31402581, DOI: 10.1111/eip.12865.Peer-Reviewed Original ResearchConceptsRisk factorsMild functional improvementLongitudinal cohort studySymptom severity criteriaPoor cognitive performanceOutcome of psychosisPreliminary findingsPatients 16Cohort studyAntipsychotic treatmentClinical pictureFEP patientsClinical managementFunctional improvementFamily historyEmergency unitBaseline presentationSeverity criteriaPsychiatric hospitalPsychotic disordersClinical InterviewDrug usePotential associationGene-environment interaction studiesBiochemical parametersEvidence for interaction between genetic liability and childhood trauma in the development of psychotic symptoms
Pinckaers F, Rotee I, Nwosu C, Krolinski P, Smeets A, Gülöksüz S, de Jong L, Vaessen T, Damen T, Uittenboogaard A, Schäfer A, Menne-Lothmann C, Decoster J, van Winkel R, Collip D, Delespaul P, De Hert M, Derom C, Thiery E, Jacobs N, Wichers M, Rutten B, van Os J, Drukker M. Evidence for interaction between genetic liability and childhood trauma in the development of psychotic symptoms. Social Psychiatry And Psychiatric Epidemiology 2019, 54: 1045-1054. PMID: 31209522, DOI: 10.1007/s00127-019-01711-z.Peer-Reviewed Original ResearchConceptsChildhood traumaGenetic liabilityImpact of CTSymptom Checklist-90 scoresMixed-effects linear regression analysisSubthreshold psychotic experiencesChildhood Trauma Questionnaire-Short FormExpression of psychosisGeneral population twinsQuestionnaire-Short FormPsychosis expressionMultilevel mixed-effects linear regression analysesRisk factorsPsychotic symptomsSymptom subscalesLinear regression analysisSubthreshold expressionTotal scoreStatistical significancePsychic Experience (CAPE) questionnaireRegression analysis
2018
Resilience Against Traumatic Stress: Current Developments and Future Directions
Snijders C, Pries L, Sgammeglia N, Al Jowf G, Youssef N, de Nijs L, Guloksuz S, Rutten B. Resilience Against Traumatic Stress: Current Developments and Future Directions. Frontiers In Psychiatry 2018, 9: 676. PMID: 30631285, PMCID: PMC6315131, DOI: 10.3389/fpsyt.2018.00676.Peer-Reviewed Original ResearchT115. REASONING BIAS, WORKING MEMORY PERFORMANCE, AND A TRANSDIAGNOSTIC PHENOTYPE OF AFFECTIVE DISTURBANCES AND PSYCHOTIC EXPERIENCES IN THE GENERAL POPULATION
Rauschenberg C, Reininghaus U, Have M, de Graaf R, van Dorsselaer S, Gunther N, Pries L, Guloksuz S, Radhakrishnan R, Bak M, van Os J. T115. REASONING BIAS, WORKING MEMORY PERFORMANCE, AND A TRANSDIAGNOSTIC PHENOTYPE OF AFFECTIVE DISTURBANCES AND PSYCHOTIC EXPERIENCES IN THE GENERAL POPULATION. Schizophrenia Bulletin 2018, 44: s160-s161. PMCID: PMC5888643, DOI: 10.1093/schbul/sby016.391.Peer-Reviewed Original ResearchComposite International Diagnostic InterviewHelp-seeking behaviorAffective disturbancesGeneral populationPsychotic experiencesTransdiagnostic phenotypeNetherlands Mental Health SurveyJTC biasSecond Netherlands Mental Health SurveyMental Health SurveyRepresentative general population sampleDose-response relationshipGeneral population sampleMemory performanceSocio-demographic characteristicsRisk factorsHealth SurveyIncidence studySocio-environmental factorsDiagnostic InterviewCognitive deficitsMental healthSymptom domainsTime pointsPsychosis
2015
Evidence that the presence of psychosis in non-psychotic disorder is environment-dependent and mediated by severity of non-psychotic psychopathology
Guloksuz S, van Nierop M, Lieb R, van Winkel R, Wittchen H, van Os J. Evidence that the presence of psychosis in non-psychotic disorder is environment-dependent and mediated by severity of non-psychotic psychopathology. Psychological Medicine 2015, 45: 2389-2401. PMID: 25804288, DOI: 10.1017/s0033291715000380.Peer-Reviewed Original ResearchMeSH KeywordsAdolescentAdultAdult Survivors of Child Adverse EventsDiagnostic and Statistical Manual of Mental DisordersEnvironmental ExposureFemaleGermanyHelp-Seeking BehaviorHumansMaleModels, PsychologicalMood DisordersObsessive-Compulsive DisorderPsychopathologyPsychotic DisordersRisk FactorsSeverity of Illness IndexSubstance-Related DisordersUrban PopulationYoung AdultConceptsNon-psychotic disordersNon-psychotic psychopathologyRisk factorsMood disordersPsychotic experiencesHelp-seeking behaviorDSM-IV mood disordersEnvironmental exposuresSevere clinical stateDose-response fashionEnvironmental risk factorsPresence of psychosisIndex of severitySubthreshold psychotic experiencesIllness severityClinical stateGeneral psychopathologyCannabis useDisordersSeverityCompulsive disorderPsychotic psychopathologyPsychosisPsychopathologyTrauma