2025
Exposome-Wide Gene-By-Environment Interaction Study of Psychotic Experiences in the UK Biobank
Lin B, Pries L, Arias-Magnasco A, Klingenberg B, Linden D, Blokland G, van der Meer D, Luykx J, Rutten B, Guloksuz S. Exposome-Wide Gene-By-Environment Interaction Study of Psychotic Experiences in the UK Biobank. Biological Psychiatry Global Open Science 2025, 5: 100460. DOI: 10.1016/j.bpsgos.2025.100460.Peer-Reviewed Original ResearchGene-by-environment interactionsPRS-SCZUK BiobankExposome-wide association studyPsychotic experiencesPolygenic risk scoresAssociated with psychotic experiencesMental distressRisk scoreAssociation studiesSleep problemsBiobankAdditive interactionPsychosis riskAgnostic analysisCorrelation testXWASGenetic vulnerabilityDistressParticipantsScoresCorrelation analysisExposureStudyRiskIndependent and joint effects of genomic and exposomic loads for schizophrenia on psychotic experiences in adolescents of European ancestry
Di Vincenzo M, Prachason T, Sampogna G, Arias-Magnasco A, Lin B, Pries L, van Os J, Rutten B, Barzilay R, Fiorillo A, Guloksuz S. Independent and joint effects of genomic and exposomic loads for schizophrenia on psychotic experiences in adolescents of European ancestry. Schizophrenia 2025, 11: 26. PMID: 39984505, PMCID: PMC11845623, DOI: 10.1038/s41537-025-00569-2.Peer-Reviewed Original ResearchRisk due to interactionDistressing psychotic experiencesExcess risk due to interactionPsychotic experiencesEuropean ancestryMultilevel logistic regression modelsPolygenic risk scoresAdditive interactionStrength of associationLogistic regression modelsEarly adolescenceJoint associationsExposome scoreIncreasing strength of associationSecondary outcomesRisk scorePrimary outcomeRegression modelsStudy dataAdolescent brainSchizophreniaAdolescentsFollow-upJoint effectsOutcomesThe Moderating Role of Genetic and Environmental Risk Factors for Schizophrenia on the Relationship between Autistic Traits and Psychosis Expression in the General Population
Dogan M, Prachason T, Lin B, Pries L, Arias-Magnasco A, Bortoletto R, Menne-Lothmann C, Decoster J, van Winkel R, Collip D, Delespaul P, De Hert M, Derom C, Thiery E, Jacobs N, van Os J, Rutten B, Brondino N, Colizzi M, Luykx J, Fusar-Poli L, Guloksuz S. The Moderating Role of Genetic and Environmental Risk Factors for Schizophrenia on the Relationship between Autistic Traits and Psychosis Expression in the General Population. Schizophrenia Bulletin Open 2025, 6: sgaf005. PMID: 40123716, PMCID: PMC11926675, DOI: 10.1093/schizbullopen/sgaf005.Peer-Reviewed Original ResearchPsychotic experiencesNegative life eventsAutistic traitsLife eventsCommunity Assessment of Psychic ExperiencesAssociated with psychotic experiencesAutism Spectrum QuotientModerating rolePsychosis expressionInteraction effectsPolygenic risk scoresRisk factorsEmotional neglectPsychic ExperiencesPhysical neglectModeration analysisCT subtypesAutism spectrumBonferroni correctionEmotional abuseGenetic overlapMultilevel linear regression modelsTrauma screeningSexual abusePhysical abuse
2024
The association between aberrant salience and psychotic experiences in general population twins, and genetic vulnerability as a modifier
Drukker M, Todor T, Bongaarts J, Broggi E, Kelkar M, Wigglesworth T, Verhiel K, van Leeuwen K, Koster M, Derom C, Thiery E, De Hert M, Menne-Lothmann C, Decoster J, Collip D, van Winkel R, Jacobs N, Guloksuz S, Rutten B, van Os J. The association between aberrant salience and psychotic experiences in general population twins, and genetic vulnerability as a modifier. BMC Psychiatry 2024, 24: 736. PMID: 39462331, PMCID: PMC11515186, DOI: 10.1186/s12888-024-06176-2.Peer-Reviewed Original ResearchConceptsAberrant salienceGeneral population twinsPsychotic experiencesGenetic vulnerabilityGeneral population samplePsychotic symptomsAssociated with psychotic experiencesUltra-high-risk patientsPositive symptom scalesSubclinical psychotic symptomsWhite noise taskEpisode psychosis patientsAssociated with psychosisPopulation samplePsychosis spectrumPsychosis patientsSymptom ScaleNoise taskSaliencePsychosisSevere endVulnerabilitySymptomsTaskAssociationT78. GENE-ENVIRONMENT INTERACTION STUDY ON THE CORRELATES FOR PSYCHOTIC EXPERIENCES IN THE UK BIOBANK
Lin B, Pries L, Magnasco A, Gülöksüz S. T78. GENE-ENVIRONMENT INTERACTION STUDY ON THE CORRELATES FOR PSYCHOTIC EXPERIENCES IN THE UK BIOBANK. European Neuropsychopharmacology 2024, 87: 195-196. DOI: 10.1016/j.euroneuro.2024.08.388.Peer-Reviewed Original ResearchExposome-wide association studyPolygenic risk scoresPRS-SCZGene-environment interactionsGene-environment interaction studiesPsychotic experiencesAssociation studiesPhysical health outcomesLogistic regression modelsNon-psychotic disordersHealth outcomesUK BiobankMental distressNominal significanceRisk scoreMedical conditionsSleep problemsSelf-harm behaviorsRegression modelsAdditive interactionGxE interactionsAgnostic analysisGxEGenetic underpinningsExposure to PEAssociation Between Juvenile Psychotic Experiences and Problematic Gaming
Fernandes A, Biokino R, Miguel A, Machado V, Koga G, Fonseca L, Pan P, Roza T, Salum G, Passos I, Rohde L, Miguel E, Ziebold C, Gadelha A. Association Between Juvenile Psychotic Experiences and Problematic Gaming. Schizophrenia Bulletin Open 2024, 5: sgae021. PMID: 39296676, PMCID: PMC11408271, DOI: 10.1093/schizbullopen/sgae021.Peer-Reviewed Original ResearchPsychotic experiencesProblematic gamingGame addictionDSM-IVBrazilian community sampleDSM-IV diagnosisMental health conditionsCommunity samplePsychiatric disordersCross-sectional subsamplePsychiatric conditionsAssociated with significant adverse outcomesReport PEBehavioral pathwaysLevels of PESignificant adverse outcomesAssociated with PEPE scoresSociodemographic variablesAdverse outcomesBrazilian cohortDisordersParticipantsHealth conditionsLinear regression analysis401. Gene-Environment Interaction Study on the Correlates for Psychotic Experiences in the UK Biobank
Lin B, Pries L, Magnasco A, Guloksuz S. 401. Gene-Environment Interaction Study on the Correlates for Psychotic Experiences in the UK Biobank. Biological Psychiatry 2024, 95: s264. DOI: 10.1016/j.biopsych.2024.02.900.Peer-Reviewed Original ResearchThe relationship between childhood trauma, psychotic symptoms, and cognitive schemas in patients with schizophrenia, their siblings, and healthy controls: results from the EU-GEI study.
Üçok A, Noyan H, Gülöksüz S, Saka M, Alptekin K, Atbaşoğlu C, Akturan E, Karadayı G, Baran Tatar Z, Akdede B, Binbay T, Altınyazar V, Ulaş H, Yalınçetin B, Gümüş-Akay G, Cihan B, Soygür H, Şahin Cankurtaran E, Ulusoy Kaymak S, Rutten B, van Os J. The relationship between childhood trauma, psychotic symptoms, and cognitive schemas in patients with schizophrenia, their siblings, and healthy controls: results from the EU-GEI study. Psychological Medicine 2024, 54: 2414-2425. PMID: 38606591, DOI: 10.1017/s0033291724000540.Peer-Reviewed Original ResearchNegative cognitive schemasChildhood traumaCognitive schemasPsychotic symptomsEU-GEIEmotional abuseBrief Core Schema ScalesEU-GEI studySubthreshold psychotic experiencesSubtypes of traumaChildhood emotional abuseChildhood Trauma QuestionnaireNon-clinical populationsHealthy controlsNegative schemasPositive symptomsPersecutory delusionsPsychotic experiencesSchema ScaleTrauma QuestionnaireChildhood abuseSymptom severitySchizophreniaSexual abuseAbusePlasma complement and coagulation proteins as prognostic factors of negative symptoms: An analysis of the NAPLS 2 and 3 studies
Byrne J, Healy C, Föcking M, Heurich M, Susai S, Mongan D, Wynne K, Kodosaki E, Woods S, Cornblatt B, Stone W, Mathalon D, Bearden C, Cadenhead K, Addington J, Walker E, Cannon T, Cannon M, Jeffries C, Perkins D, Cotter D. Plasma complement and coagulation proteins as prognostic factors of negative symptoms: An analysis of the NAPLS 2 and 3 studies. Brain Behavior And Immunity 2024, 119: 188-196. PMID: 38555993, DOI: 10.1016/j.bbi.2024.03.049.Peer-Reviewed Original ResearchNegative symptomsDepressive symptomsScale of Psychosis-risk SymptomsMeasures of negative symptomsNorth American Prodrome Longitudinal Study 2Psychosis-risk symptomsClinical high riskPrognostic factorsLongitudinal Study 2Positive symptomsNAPLS 2Psychotic disordersAntipsychotic usePsychotic experiencesCannabis useSuicidal ideationAntidepressant useStudy 2Regulation groupQuality of life of individualsGroup factorsCurrent treatment optionsDemographic prognostic factorsPsychosisCoagulation proteinsChildhood Anxiety Symptoms as a Predictor of Psychotic Experiences in Adolescence in a High-Risk Cohort for Psychiatric Disorders
Machado V, Fonseca L, Barbosa M, Bressan R, Pan P, Rohde L, Miguel E, Salum G, Ziebold C, Gadelha A. Childhood Anxiety Symptoms as a Predictor of Psychotic Experiences in Adolescence in a High-Risk Cohort for Psychiatric Disorders. Schizophrenia Bulletin Open 2024, 5: sgae003. PMID: 39144118, PMCID: PMC11207689, DOI: 10.1093/schizbullopen/sgae003.Peer-Reviewed Original ResearchBrazilian High-Risk CohortCross-lagged panel modelChildhood anxiety symptomsPsychotic experiencesAnxiety symptomsSubclinical psychotic symptomsContinuum of psychosisStandardized self-report questionnairesTime-lagged associationsCross-lagged effectsIncreased levels of anxietySelf-report questionnairesLevels of anxietyPsychosis pronenessPsychotic symptomsPsychiatric disordersSymptom domainsMental illnessAnxietyHigh-risk cohortAnxiety scoresPsychosisAdolescentsPE scoresPanel model
2023
How do young adults experience and understand the process of developing a first episode of psychosis? A qualitative exploration
Hansen H, Stige S, Davidson L, Løberg E, Veseth M. How do young adults experience and understand the process of developing a first episode of psychosis? A qualitative exploration. Psychosis 2023, 16: 273-283. DOI: 10.1080/17522439.2023.2215295.Peer-Reviewed Original ResearchLongitudinal invariance of psychotic experiences in children and adolescents: What do the data tell us?
Barbosa M, Machado V, Ziebold C, Moriyama T, Bressan R, Pan P, Rohde L, Miguel E, Fonseca L, Van Os J, Gadelha A. Longitudinal invariance of psychotic experiences in children and adolescents: What do the data tell us? Schizophrenia Research 2023, 255: 33-40. PMID: 36958268, DOI: 10.1016/j.schres.2023.03.003.Peer-Reviewed Original ResearchConceptsPsychotic experiencesTime pointsHigh-risk cohortPrevious systematic reviewDifferent age groupsDifferent time pointsBaseline evaluationLifetime psychotic experiencesPositive symptomsSystematic reviewAge groupsPerceptual abnormalitiesLongitudinal studyBrazilian High-Risk CohortPsychosis pronenessGood model fit indicesThree-factor solutionChildren
2022
Bidirectional relationships between cannabis use, anxiety and depressive symptoms in the mediation of the association with psychotic experience: further support for an affective pathway to psychosis
Radhakrishnan R, Pries LK, Erzin G, Have M, de Graaf R, van Dorsselaer S, Gunther N, Bak M, Rutten BPF, van Os J, Guloksuz S. Bidirectional relationships between cannabis use, anxiety and depressive symptoms in the mediation of the association with psychotic experience: further support for an affective pathway to psychosis. Psychological Medicine 2022, 53: 5551-5557. PMID: 36093677, PMCID: PMC10482707, DOI: 10.1017/s0033291722002756.Peer-Reviewed Original ResearchConceptsAnxiety/depressive symptomsDepressive symptomsCannabis usePE incidencePsychotic experiencesFirst longitudinal cohort studyNetherlands Mental Health SurveyLongitudinal cohort studyMental Health SurveyRole of cannabisBidirectional relationshipCohort studyHealth SurveyIncidence studyAffective symptomsSymptomsCannabisEducation statusLongitudinal studyPsychosisIncidenceAnxietyTemporal relationshipMediation analysisFurther support
2021
What makes the psychosis ‘clinical high risk’ state risky: psychosis itself or the co-presence of a non-psychotic disorder?
Hasmi L, Pries L, Have M, de Graaf R, van Dorsselaer S, Bak M, Kenis G, Richards A, Lin B, O'Donovan M, Luykx J, Rutten B, Guloksuz S, van Os J. What makes the psychosis ‘clinical high risk’ state risky: psychosis itself or the co-presence of a non-psychotic disorder? Epidemiology And Psychiatric Sciences 2021, 30: e53. PMID: 34225831, PMCID: PMC8264801, DOI: 10.1017/s204579602100041x.Peer-Reviewed Original ResearchConceptsNon-psychotic disordersClinical high-risk stateClinical high riskHigh-risk stateHigh riskPsychotic symptomsPsychotic experiencesProspective general population cohortEarly psychotic experiencesIncident psychotic experiencesGeneral population cohortHealth service usePsychosis risk statesDrug use disordersPositive family historySchizophrenia polygenic risk scoresPsychosis incidenceAntipsychotic medicationYearly incidenceFamily historyPolygenic risk scoresRisk scoreAPS researchPRS-SZService useSchizophrenia 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
The jumping to conclusions reasoning bias as a cognitive factor contributing to psychosis progression and persistence: findings from NEMESIS-2
Rauschenberg C, Reininghaus U, Have M, de Graaf R, van Dorsselaer S, Simons C, Gunther N, Henquet C, Pries L, Guloksuz S, Bak M, van Os J. The jumping to conclusions reasoning bias as a cognitive factor contributing to psychosis progression and persistence: findings from NEMESIS-2. Psychological Medicine 2020, 51: 1696-1703. PMID: 32174291, PMCID: PMC8327623, DOI: 10.1017/s0033291720000446.Peer-Reviewed Original Research
2019
TwinssCan — Gene-Environment Interaction in Psychotic and Depressive Intermediate Phenotypes: Risk and Protective Factors in a General Population Twin Sample
Pries L, Snijders C, Menne-Lothmann C, Decoster J, van Winkel R, Collip D, Delespaul P, De Hert M, Derom C, Thiery E, Jacobs N, Wichers M, Guloksuz S, van Os J, Rutten B. TwinssCan — Gene-Environment Interaction in Psychotic and Depressive Intermediate Phenotypes: Risk and Protective Factors in a General Population Twin Sample. Twin Research And Human Genetics 2019, 22: 460-466. PMID: 31708010, DOI: 10.1017/thg.2019.96.Peer-Reviewed Original ResearchConceptsNeurocognitive processesSalience attributionSocial defeatGeneral population twin sampleExecutive functioningCognitive phenotypesExperimental paradigmSeverity of psychopathologyAffective dysregulationSubclinical expressionDimensional phenotypesMental ill healthClinical psychopathologyTwin sampleOnset of disorderPsychotic experiencesPsychopathologyProtective factorsSchizophrenia ProjectAttributionIll healthIntermediate phenotypesGene-environment interactionsMemoryFunctioningDifferences Between Self-Reported Psychotic Experiences, Clinically Relevant Psychotic Experiences, and Attenuated Psychotic Symptoms in the General Population
Moriyama T, van Os J, Gadelha A, Pan P, Salum G, Manfro G, de Jesus Mari J, Miguel E, Rohde L, Polanczyk G, McGuire P, Bressan R, Drukker M. Differences Between Self-Reported Psychotic Experiences, Clinically Relevant Psychotic Experiences, and Attenuated Psychotic Symptoms in the General Population. Frontiers In Psychiatry 2019, 10: 782. PMID: 31736802, PMCID: PMC6829673, DOI: 10.3389/fpsyt.2019.00782.Peer-Reviewed Original ResearchSelf-reported psychotic experiencesPsychotic symptomsPsychotic experiencesAffective flatteningHigh Risk Cohort StudyAttenuated Psychotic SymptomsChild mental healthCohort studyStrength of associationFemale sexClinical assessmentLevels of psychopathologyGeneral populationPsychiatric disordersClinical relevanceEarly interventionMental healthIndependent interviewerMost associationsParent informationSymptomsAssociationPresent studyPsychopathologyPsychologists' assessment
2018
Reasoning bias, working memory performance and a transdiagnostic phenotype of affective disturbances and psychotic experiences in the general population
Reininghaus U, Rauschenberg C, Have M, de Graaf R, van Dorsselaer S, Simons CJP, Gunther N, Pries LK, Guloksuz S, Radhakrishnan R, Bak M, van Os J. Reasoning bias, working memory performance and a transdiagnostic phenotype of affective disturbances and psychotic experiences in the general population. Psychological Medicine 2018, 49: 1799-1809. PMID: 30160228, DOI: 10.1017/s0033291718002209.Peer-Reviewed Original ResearchConceptsComposite International Diagnostic InterviewAffective disturbancesPsychotic experiencesNetherlands Mental Health SurveySecond Netherlands Mental Health SurveyTransdiagnostic phenotypeJTC biasMental Health SurveyDose-response relationshipGeneral population sampleHealth SurveyGeneral populationIncidence studyHelp-seeking behaviorDiagnostic InterviewTime pointsMemory performanceConclusions reasoning biasPopulation sampleRecent findingsPhenotypeDigit span taskIndividualsFindingsPsychosisChildhood trauma and adolescent psychotic experiences in a community-based cohort: The potential role of positive attributes as a protective factor
Pan P, Gadelha A, Argolo F, Hoffmann M, Arcadepani F, Miguel E, Rohde L, McGuire P, Salum G, Bressan R. Childhood trauma and adolescent psychotic experiences in a community-based cohort: The potential role of positive attributes as a protective factor. Schizophrenia Research 2018, 205: 23-29. PMID: 30879477, DOI: 10.1016/j.schres.2018.06.044.Peer-Reviewed Original ResearchConceptsChildhood traumaPsychotic experiencesPositive attributesSelf-reported psychotic experiencesIndirect effectsBaseline psychotic experiencesHigh childhood traumaMediation modelAdolescent psychotic experiencesYear old childrenPersonality characteristicsProtective factorsPreventive interventionsBehavioral traitsHigh levelsIndirect pathwaysChildrenTraumaPsychologistsAdolescenceExperienceParentsRelationshipAttributesTime points
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