2023
Associations Between Polygenic Risk Score Loading, Psychosis Liability, and Clozapine Use Among Individuals With Schizophrenia
Lin B, Pinzón-Espinosa J, Blouzard E, van der Horst M, Okhuijsen-Pfeifer C, van Eijk K, Guloksuz S, Peyrot W, Luykx J, Hasan A, Wagner E, Pantelis C, Everall I, Ayhan Y, Babaoğlu M, Bak M, Alink W, Beld E, Bouhuis A, Edlinger M, Erdoğan I, Gutwinski S, Hallikainen T, Jeger-land E, Lähteenvuo M, de Koning M, Morgenroth C, Müderrisoğlu A, Oviedo-Salcedo T, Schreiter S, Repo-Tiihonen E, Tuppurainen H, Veereschild M, Veerman S, de Vos M, Cohen D, Bogers J, Anıl Yağcıoğlu A, Tiihonen J, Ripke S, Bousman C, Van Beek H, Okhuijsen-Pfeifer C, van der Horst M, van Eijk K, Ertuğrul A, Yoca G, Görlitz T, Grootens K, Leucht S, Narang A, Schneider-Thoma J, Kahn R, Bekema E, Kleymann P, Luykx J, Alizadeh B, van Amelsvoort T, Cahn W, de Haan L, Schirmbeck F, Simons C, van Os J, Rutten B, van Winkel R. Associations Between Polygenic Risk Score Loading, Psychosis Liability, and Clozapine Use Among Individuals With Schizophrenia. JAMA Psychiatry 2023, 80: 181-185. PMID: 36542388, PMCID: PMC9857760, DOI: 10.1001/jamapsychiatry.2022.4234.Peer-Reviewed Original ResearchMeSH KeywordsAdultAntipsychotic AgentsClozapineFemaleHumansMultifactorial InheritancePsychotic DisordersRisk FactorsSchizophreniaConceptsSchizophrenia spectrum disordersRisk ratioPolygenic risk scoresUnrelated healthy controlsRisk scorePRS-SCZClozapine useHealthy controlsOdds ratioCourse of illnessHigher likelihoodPsychosis liabilityClozapine prescribingClozapine prescriptionPharmacotherapy choicesClozapine treatmentObservational cohortMedication useAntipsychotic useAntipsychotic treatmentMAIN OUTCOMEMultinomial logistic regressionPrognostic studiesAntipsychoticsEarly intervention
2022
The association between cannabis use and facial emotion recognition in schizophrenia, siblings, and healthy controls: Results from the EUGEI study
Fusar-Poli L, Pries LK, van Os J, Radhakrishnan R, Pençe AY, Erzin G, Delespaul P, Kenis G, Luykx JJ, Lin BD, Akdede B, Binbay T, Altınyazar V, Yalınçetin B, Gümüş-Akay G, Cihan B, Soygür H, Ulaş H, Cankurtaran EŞ, Kaymak SU, Mihaljevic MM, Andric-Petrovic S, Mirjanic T, Bernardo M, Mezquida G, Amoretti S, Bobes J, Saiz PA, García-Portilla MP, Sanjuan J, Aguilar EJ, Santos JL, Jiménez-López E, Arrojo M, Carracedo A, López G, González-Peñas J, Parellada M, Maric NP, Atbaşoğlu C, Üçok A, Alptekin K, Saka MC, investigators G, Aguglia E, Arango C, Rutten BP, Guloksuz S. The association between cannabis use and facial emotion recognition in schizophrenia, siblings, and healthy controls: Results from the EUGEI study. European Neuropsychopharmacology 2022, 63: 47-59. PMID: 36055075, DOI: 10.1016/j.euroneuro.2022.08.003.Peer-Reviewed Original ResearchConceptsHealthy controlsCannabis useDegraded Facial Affect Recognition TaskPresent cross-sectional studyCross-sectional studyHigh genetic riskProgression of schizophreniaRegular cannabis useCognitive disturbancesRegular cannabisPsychosis riskPatientsSchizophreniaFacial emotion recognition performanceGenetic riskCannabisCurrent cannabisEUGEI studyLongitudinal studyAgeSiblingsAssociationRiskOnsetEffect relationshipAge- and sex-specific associations between risk scores for schizophrenia and self-reported health in the general population
Paquin V, Pries L, ten Have M, Bak M, Gunther N, de Graaf R, van Dorsselaer S, Lin B, van Eijk K, Kenis G, Richards A, O’Donovan M, Luykx J, Rutten B, van Os J, Shah J, Guloksuz S. Age- and sex-specific associations between risk scores for schizophrenia and self-reported health in the general population. Social Psychiatry And Psychiatric Epidemiology 2022, 58: 43-52. PMID: 35913550, PMCID: PMC9845157, DOI: 10.1007/s00127-022-02346-3.Peer-Reviewed Original ResearchConceptsSex-specific associationsSelf-reported healthPRS-SCZES-SCZPhysical healthGeneral populationNetherlands Mental Health SurveyIncidence Study-2Mental Health SurveyHealth SurveyRisk scoreAge 65Common genetic variantsHealth correlatesAge 18Poor healthOlder individualsMental healthPolygenic riskLinear mixed modelsAgeSexExposome scoreHealthAssociationMapping genomic loci implicates genes and synaptic biology in schizophrenia
Trubetskoy V, Pardiñas A, Qi T, Panagiotaropoulou G, Awasthi S, Bigdeli T, Bryois J, Chen C, Dennison C, Hall L, Lam M, Watanabe K, Frei O, Ge T, Harwood J, Koopmans F, Magnusson S, Richards A, Sidorenko J, Wu Y, Zeng J, Grove J, Kim M, Li Z, Voloudakis G, Zhang W, Adams M, Agartz I, Atkinson E, Agerbo E, Al Eissa M, Albus M, Alexander M, Alizadeh B, Alptekin K, Als T, Amin F, Arolt V, Arrojo M, Athanasiu L, Azevedo M, Bacanu S, Bass N, Begemann M, Belliveau R, Bene J, Benyamin B, Bergen S, Blasi G, Bobes J, Bonassi S, Braun A, Bressan R, Bromet E, Bruggeman R, Buckley P, Buckner R, Bybjerg-Grauholm J, Cahn W, Cairns M, Calkins M, Carr V, Castle D, Catts S, Chambert K, Chan R, Chaumette B, Cheng W, Cheung E, Chong S, Cohen D, Consoli A, Cordeiro Q, Costas J, Curtis C, Davidson M, Davis K, de Haan L, Degenhardt F, DeLisi L, Demontis D, Dickerson F, Dikeos D, Dinan T, Djurovic S, Duan J, Ducci G, Dudbridge F, Eriksson J, Fañanás L, Faraone S, Fiorentino A, Forstner A, Frank J, Freimer N, Fromer M, Frustaci A, Gadelha A, Genovese G, Gershon E, Giannitelli M, Giegling I, Giusti-Rodríguez P, Godard S, Goldstein J, González Peñas J, González-Pinto A, Gopal S, Gratten J, Green M, Greenwood T, Guillin O, Gülöksüz S, Gur R, Gur R, Gutiérrez B, Hahn E, Hakonarson H, Haroutunian V, Hartmann A, Harvey C, Hayward C, Henskens F, Herms S, Hoffmann P, Howrigan D, Ikeda M, Iyegbe C, Joa I, Julià A, Kähler A, Kam-Thong T, Kamatani Y, Karachanak-Yankova S, Kebir O, Keller M, Kelly B, Khrunin A, Kim S, Klovins J, Kondratiev N, Konte B, Kraft J, Kubo M, Kučinskas V, Kučinskiene Z, Kusumawardhani A, Kuzelova-Ptackova H, Landi S, Lazzeroni L, Lee P, Legge S, Lehrer D, Lencer R, Lerer B, Li M, Lieberman J, Light G, Limborska S, Liu C, Lönnqvist J, Loughland C, Lubinski J, Luykx J, Lynham A, Macek M, Mackinnon A, Magnusson P, Maher B, Maier W, Malaspina D, Mallet J, Marder S, Marsal S, Martin A, Martorell L, Mattheisen M, McCarley R, McDonald C, McGrath J, Medeiros H, Meier S, Melegh B, Melle I, Mesholam-Gately R, Metspalu A, Michie P, Milani L, Milanova V, Mitjans M, Molden E, Molina E, Molto M, Mondelli V, Moreno C, Morley C, Muntané G, Murphy K, Myin-Germeys I, Nenadić I, Nestadt G, Nikitina-Zake L, Noto C, Nuechterlein K, O’Brien N, O’Neill F, Oh S, Olincy A, Ota V, Pantelis C, Papadimitriou G, Parellada M, Paunio T, Pellegrino R, Periyasamy S, Perkins D, Pfuhlmann B, Pietiläinen O, Pimm J, Porteous D, Powell J, Quattrone D, Quested D, Radant A, Rampino A, Rapaport M, Rautanen A, Reichenberg A, Roe C, Roffman J, Roth J, Rothermundt M, Rutten B, Saker-Delye S, Salomaa V, Sanjuan J, Santoro M, Savitz A, Schall U, Scott R, Seidman L, Sharp S, Shi J, Siever L, Sigurdsson E, Sim K, Skarabis N, Slominsky P, So H, Sobell J, Söderman E, Stain H, Steen N, Steixner-Kumar A, Stögmann E, Stone W, Straub R, Streit F, Strengman E, Stroup T, Subramaniam M, Sugar C, Suvisaari J, Svrakic D, Swerdlow N, Szatkiewicz J, Ta T, Takahashi A, Terao C, Thibaut F, Toncheva D, Tooney P, Torretta S, Tosato S, Tura G, Turetsky B, Üçok A, Vaaler A, van Amelsvoort T, van Winkel R, Veijola J, Waddington J, Walter H, Waterreus A, Webb B, Weiser M, Williams N, Witt S, Wormley B, Wu J, Xu Z, Yolken R, Zai C, Zhou W, Zhu F, Zimprich F, Atbaşoğlu E, Ayub M, Benner C, Bertolino A, Black D, Bray N, Breen G, Buccola N, Byerley W, Chen W, Cloninger C, Crespo-Facorro B, Donohoe G, Freedman R, Galletly C, Gandal M, Gennarelli M, Hougaard D, Hwu H, Jablensky A, McCarroll S, Moran J, Mors O, Mortensen P, Müller-Myhsok B, Neil A, Nordentoft M, Pato M, Petryshen T, Pirinen M, Pulver A, Schulze T, Silverman J, Smoller J, Stahl E, Tsuang D, Vilella E, Wang S, Xu S, Adolfsson R, Arango C, Baune B, Belangero S, Børglum A, Braff D, Bramon E, Buxbaum J, Campion D, Cervilla J, Cichon S, Collier D, Corvin A, Curtis D, Forti M, Domenici E, Ehrenreich H, Escott-Price V, Esko T, Fanous A, Gareeva A, Gawlik M, Gejman P, Gill M, Glatt S, Golimbet V, Hong K, Hultman C, Hyman S, Iwata N, Jönsson E, Kahn R, Kennedy J, Khusnutdinova E, Kirov G, Knowles J, Krebs M, Laurent-Levinson C, Lee J, Lencz T, Levinson D, Li Q, Liu J, Malhotra A, Malhotra D, McIntosh A, McQuillin A, Menezes P, Morgan V, Morris D, Mowry B, Murray R, Nimgaonkar V, Nöthen M, Ophoff R, Paciga S, Palotie A, Pato C, Qin S, Rietschel M, Riley B, Rivera M, Rujescu D, Saka M, Sanders A, Schwab S, Serretti A, Sham P, Shi Y, St Clair D, Stefánsson H, Stefansson K, Tsuang M, van Os J, Vawter M, Weinberger D, Werge T, Wildenauer D, Yu X, Yue W, Holmans P, Pocklington A, Roussos P, Vassos E, Verhage M, Visscher P, Yang J, Posthuma D, Andreassen O, Kendler K, Owen M, Wray N, Daly M, Huang H, Neale B, Sullivan P, Ripke S, Walters J, O’Donovan M. Mapping genomic loci implicates genes and synaptic biology in schizophrenia. Nature 2022, 604: 502-508. PMID: 35396580, PMCID: PMC9392466, DOI: 10.1038/s41586-022-04434-5.Peer-Reviewed Original ResearchConceptsGenomic lociTwo-stage genome-wide association studyVariant associationsDistinct genomic lociGenome-wide association studiesTranscription factor Sp4Functional genomics dataCommon variant associationsRare variant associationsCommon risk allelesSynaptic biologyGenomic dataBiological processesAssociation studiesGenesCell typesNeurodevelopmental disordersRegion variationLociFundamental processesNeuronal functionSuch variantsRisk allelesMechanistic studiesVariantsSchizophrenia as a symptom of psychiatry’s reluctance to enter the moral era of medicine
van Os J, Guloksuz S. Schizophrenia as a symptom of psychiatry’s reluctance to enter the moral era of medicine. Schizophrenia Research 2022, 242: 138-140. PMID: 34991949, DOI: 10.1016/j.schres.2021.12.017.Peer-Reviewed Original Research
2021
Association between exposome score for schizophrenia and functioning in first-episode psychosis: results from the Athens first-episode psychosis research study
Erzin G, Pries L, Dimitrakopoulos S, Ralli I, Xenaki L, Soldatos R, Vlachos I, Selakovic M, Foteli S, Kosteletos I, Nianiakas N, Mantonakis L, Rizos E, Kollias K, Van Os J, Guloksuz S, Stefanis N. Association between exposome score for schizophrenia and functioning in first-episode psychosis: results from the Athens first-episode psychosis research study. Psychological Medicine 2021, 53: 2609-2618. PMID: 34789350, PMCID: PMC10123830, DOI: 10.1017/s0033291721004542.Peer-Reviewed Original ResearchInterrogating Associations Between Polygenic Liabilities and Electroconvulsive Therapy Effectiveness
Luykx J, Loef D, Lin B, van Diermen L, Nuninga J, van Exel E, Oudega M, Rhebergen D, Schouws S, van Eijndhoven P, Verwijk E, Schrijvers D, Birkenhager T, Ryan K, Arts B, van Bronswijk S, Kenis G, Schurgers G, Baune B, Arns M, van Dellen E, Somers M, Sommer I, Boks M, Gülöksüz S, McLoughlin D, Dols A, Rutten B. Interrogating Associations Between Polygenic Liabilities and Electroconvulsive Therapy Effectiveness. Biological Psychiatry 2021, 91: 531-539. PMID: 34955169, DOI: 10.1016/j.biopsych.2021.10.013.Peer-Reviewed Original ResearchConceptsMajor depressive episodeHamilton Depression Rating Scale scoresDepression Rating Scale scoresRating Scale scoresPolygenic risk scoresPRS-SCZECT outcomeElectroconvulsive therapyScale scoreSevere major depressive episodeUnipolar major depressive episodeMajor depressive disorderSecondary outcomesAntidepressant responseECT treatmentDepressive episodeSubgroup analysisECT effectivenessPsychotic featuresDepressive disorderTreatment responseMAIN OUTCOMEEffective treatmentRisk scoreTherapy effectivenessLongitudinal clinical and functional outcome in distinct cognitive subgroups of first-episode psychosis: a cluster analysis
Oomen P, Begemann M, Brand B, de Haan L, Veling W, Koops S, van Os J, Smit F, Bakker P, van Beveren N, Boonstra N, Gülöksüz S, Kikkert M, Lokkerbol J, Marcelis M, Rosema B, de Beer F, Gangadin S, Geraets C, van ‘t Hag E, Haveman Y, van der Heijden I, Voppel A, Willemse E, van Amelsvoort T, Bak M, Batalla A, Been A, van den Bosch M, van den Brink T, Faber G, Grootens K, de Jonge M, Knegtering R, Kurkamp J, Mahabir A, Pijnenborg G, Staring T, Veen N, Veerman S, Wiersma S, Graveland E, Hoornaar J, Sommer I. Longitudinal clinical and functional outcome in distinct cognitive subgroups of first-episode psychosis: a cluster analysis. Psychological Medicine 2021, 53: 2317-2327. PMID: 34664546, PMCID: PMC10123843, DOI: 10.1017/s0033291721004153.Peer-Reviewed Original ResearchMeSH KeywordsCluster AnalysisCognitionCognitive DysfunctionHumansNeuropsychological TestsPsychotic DisordersSchizophreniaConceptsDistinct cognitive subgroupsCognitive subgroupsFirst-episode psychosisDiscrete cognitive profilesGeneral functioningTrend-level effectsCognitive profileSelf-reported functional outcomesCognitive clustersCognitive deficitsCognitionBrief assessmentFunctional outcomeLarge sampleFEP patientsClinical outcomesCurrent resultsSevere clinical symptomsPsychosisEarly identificationHealthy controlsCluster analysisClinical symptomsFunctioningDeficitsWhat 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 ResearchMeSH KeywordsAnxiety DisordersHumansMood DisordersProspective StudiesPsychotic DisordersSchizophreniaConceptsNon-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 levelConfoundersCohortIncidenceSchizophreniaAssociation of the kynurenine pathway metabolites with clinical, cognitive features and IL-1β levels in patients with schizophrenia spectrum disorder and their siblings
Noyan H, Erdağ E, Tüzün E, Yaylım İ, Küçükhüseyin Ö, Hakan M, Gülöksüz S, Rutten B, Saka M, Atbaşoğlu C, Alptekin K, van Os J, Üçok A. Association of the kynurenine pathway metabolites with clinical, cognitive features and IL-1β levels in patients with schizophrenia spectrum disorder and their siblings. Schizophrenia Research 2021, 229: 27-37. PMID: 33609988, DOI: 10.1016/j.schres.2021.01.014.Peer-Reviewed Original ResearchConceptsSchizophrenia spectrum disordersIL-1β levelsKYNA levelsHigher serum IL-1β levelsSerum IL-1β levelsHigher KYNA levelsTrp-Kyn pathwayKynurenic acid levelsSimilar clinical featuresPathophysiology of schizophreniaManifestations of schizophreniaKYN levelsSerum interleukinClinical featuresInflammatory cytokinesIL-1βClinical dataKynurenine pathwayTRP levelsSpectrum disorderControl groupAdvanced stageLow TrpPathway dysregulationPatients
2020
Association of Recent Stressful Life Events With Mental and Physical Health in the Context of Genomic and Exposomic Liability for Schizophrenia
Pries L, van Os J, Have M, de Graaf R, van Dorsselaer S, Bak M, Lin B, van Eijk K, Kenis G, Richards A, O’Donovan M, Luykx J, Rutten B, Guloksuz S. Association of Recent Stressful Life Events With Mental and Physical Health in the Context of Genomic and Exposomic Liability for Schizophrenia. JAMA Psychiatry 2020, 77: 1296-1304. PMID: 32805017, PMCID: PMC7711318, DOI: 10.1001/jamapsychiatry.2020.2304.Peer-Reviewed Original ResearchConceptsRecent stressful life eventsStressful life eventsAssociations of SLEsPoor physical healthMental health outcomesHealth outcomesPhysical healthGeneral populationPopulation-based prospective cohort studyPRS-SCZNetherlands Mental Health SurveyES-SCZMental healthProspective cohort studyIncidence Study-2Modifiable environmental factorsAdulthood stressful life eventsMental Health SurveyDutch general populationPoor mental healthPopulation-based health outcomesLife eventsCohort studyMean ageHealth SurveyNatural History, Not Lead Time
Srihari VH, Guloksuz S, Friis S. Natural History, Not Lead Time. American Journal Of Psychiatry 2020, 177: 1185-1185. PMID: 33256447, PMCID: PMC7968614, DOI: 10.1176/appi.ajp.2020.20040402.Peer-Reviewed Original ResearchPredictive Performance of Exposome Score for Schizophrenia in the General Population
Pries L, Erzin G, van Os J, Have M, de Graaf R, van Dorsselaer S, Bak M, Rutten B, Guloksuz S. Predictive Performance of Exposome Score for Schizophrenia in the General Population. Schizophrenia Bulletin 2020, 47: 277-283. PMID: 33215211, PMCID: PMC7965069, DOI: 10.1093/schbul/sbaa170.Peer-Reviewed Original ResearchConceptsES-SCZOptimal cut pointGeneral populationPopulation cohortGeneral population cohortCut pointsExposome scoreSchizophrenia spectrum disordersMeta-analytical estimatesClinical outcomesRisk strataRisk stratificationMulticausal etiologyMedical outcomesPsychiatric diagnosisBipolar disorderSchizophrenia diagnosisExposure scoreSuicide planSum scoreGene-environment interaction studiesSchizophreniaRisk predictionCharacteristic curveScoresExamining the independent and joint effects of genomic and exposomic liabilities for schizophrenia across the psychosis spectrum
Pries L, Dal Ferro G, van Os J, Delespaul P, 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, Alizadeh B, van Amelsvoort T, Bruggeman R, Cahn W, de Haan L, Rutten B, Luykx J, van Os J, van Winkel R, Arango C, O'Donovan M, Tosato S, Rutten B, Guloksuz S. Examining the independent and joint effects of genomic and exposomic liabilities for schizophrenia across the psychosis spectrum. Epidemiology And Psychiatric Sciences 2020, 29: e182. PMID: 33200977, PMCID: PMC7681168, DOI: 10.1017/s2045796020000943.Peer-Reviewed Original ResearchEvidence, 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 ResearchMeSH KeywordsDelusionsHallucinationsHumansMultifactorial InheritancePsychotic DisordersRiskSchizophreniaConceptsSchizophrenia 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 ideationA replication study of JTC bias, genetic liability for psychosis and delusional ideation
Henquet C, van Os J, Pries L, Rauschenberg C, 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, 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, Gülöksüz S. A replication study of JTC bias, genetic liability for psychosis and delusional ideation. Psychological Medicine 2020, 52: 1777-1783. PMID: 33046166, PMCID: PMC9280279, DOI: 10.1017/s0033291720003578.Peer-Reviewed Original ResearchMinor Physical Anomalies in Bipolar Disorder
İnce B, Altinoz M, Ayran A, Cansız A, Altinbaş K, Guloksuz S, Kurt E. Minor Physical Anomalies in Bipolar Disorder. Comprehensive Psychiatry 2020, 103: 152206. PMID: 33099105, DOI: 10.1016/j.comppsych.2020.152206.Peer-Reviewed Original ResearchConceptsBipolar disorderMinor physical anomaliesBD patientsHealthy subjectsHigh arched palatePhysical anomaliesAuricular anomaliesPsychiatric disordersCleft lipPathogenesis pathwaysPatientsMinor anomaliesDeletion syndromeDisordersSecond pharyngeal archesDorsal endPalateSchizophreniaRegression modelsAuriclePharyngeal archesFirst pharyngeal archArchNew endophenotypesSubjectsDo 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 variationPainMeta-analysis of auditory P50 sensory gating in schizophrenia and bipolar disorder
Atagun M, Drukker M, Hall M, Altun I, Tatli S, Guloksuz S, van Os J, van Amelsvoort T. Meta-analysis of auditory P50 sensory gating in schizophrenia and bipolar disorder. Psychiatry Research Neuroimaging 2020, 300: 111078. PMID: 32361172, DOI: 10.1016/j.pscychresns.2020.111078.Peer-Reviewed Original ResearchConceptsP50 sensory gatingFirst-degree relativesBipolar disorderSensory gatingP50 sensory gating deficitsDual-click paradigmFirst-episode psychosisSensory gating functionSensory gating deficitsS1-S2 differenceEffect of diagnosisAuditory P50 sensory gatingSensory gating ratiosGating deficitsInclusion criteriaTreatment statusLongitudinal courseIllness statePoor real-world functioningLiterature searchSchizophreniaDisordersRedundant sensory inputsTrend levelNeurophysiological measures