2023
The association between polygenic risk scores for mental disorders and social cognition: A scoping review
Fusar-Poli L, Rodolico A, Martinez M, Fichera C, Lin B, Basadonne I, Concerto C, Aguglia E, Guloksuz S, Signorelli M. The association between polygenic risk scores for mental disorders and social cognition: A scoping review. Journal Of Psychiatric Research 2023, 164: 389-401. PMID: 37418886, DOI: 10.1016/j.jpsychires.2023.06.029.Peer-Reviewed Original ResearchConceptsAutism spectrum disorderSocial cognitionMental disordersAttention deficit hyperactivity disorderReal-world functioningSC deficitsEmotion recognitionHyperactivity disorderSpectrum disorderPresent impairmentsPolygenic risk scoresCognitionFuture researchMolecular genetic riskSignificant difficultiesSpecific disordersDisordersUnaffected relativesGenetic riskRisk scorePeopleUnderstanding of mechanismsFunctioningEnvironmental risk factorsScoresThe Ethics of Risk Prediction for Psychosis and Suicide Attempt in Youth Mental Health
Smith W, Appelbaum P, Lebowitz M, Gülöksüz S, Calkins M, Kohler C, Gur R, Barzilay R. The Ethics of Risk Prediction for Psychosis and Suicide Attempt in Youth Mental Health. The Journal Of Pediatrics 2023, 263: 113583. PMID: 37353146, PMCID: PMC10828819, DOI: 10.1016/j.jpeds.2023.113583.Peer-Reviewed Original ResearchMeSH KeywordsAdolescentArtificial IntelligenceHumansMental HealthPsychotic DisordersRisk FactorsSuicide, AttemptedConceptsEthical implicationsDistinct ethical challengesEthical challengesEthicsInformed consentBroader discussionPolygenic risk scoresClinical utilityRisk scoreSuicide attemptsQuestionsYouth mental health settingsRisk-benefit balancePopulation-level screeningConsumer advertisingPotential clinical utilityMental health settingsAttemptConsentClinical questionsPredictive scoreHealth settingsNarrative literature reviewImplicationsLiterature reviewAdjusting for population stratification in polygenic risk score analyses: a guide for model specifications in the UK Biobank
Lin B, Pries L, van Os J, Luykx J, Rutten B, Guloksuz S. Adjusting for population stratification in polygenic risk score analyses: a guide for model specifications in the UK Biobank. Journal Of Human Genetics 2023, 68: 653-656. PMID: 37188914, DOI: 10.1038/s10038-023-01161-1.Peer-Reviewed Original ResearchAssociations 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 ResearchConceptsSchizophrenia 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
Age- 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 scoreHealthAssociationPolygenic risk scores for predicting outcomes and treatment response in psychiatry: hope or hype?
Fusar-Poli L, Rutten B, van Os J, Aguglia E, Guloksuz S. Polygenic risk scores for predicting outcomes and treatment response in psychiatry: hope or hype? International Review Of Psychiatry 2022, 34: 663-675. PMID: 36786114, DOI: 10.1080/09540261.2022.2101352.Peer-Reviewed Original ResearchConceptsPolygenic risk scoresTreatment responseRisk scoreMental disordersDetailed clinical characterizationPresent narrative reviewPotential clinical utilityMajor mental disordersIndividual genetic predispositionRisk stratificationPrognostic evaluationClinical characterizationWide association study datasetsClinical utilityGeneral populationGenetic predispositionNarrative reviewSingle nucleotide polymorphisms
2021
Examining facial emotion recognition as an intermediate phenotype for psychosis: Findings from the EUGEI study
Fusar-Poli L, Pries LK, van Os J, Erzin G, Delespaul P, Kenis G, Luykx JJ, Lin BD, Richards AL, 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, O'Donovan M, Rutten B, Guloksuz S. Examining facial emotion recognition as an intermediate phenotype for psychosis: Findings from the EUGEI study. Progress In Neuro-Psychopharmacology And Biological Psychiatry 2021, 113: 110440. PMID: 34536513, DOI: 10.1016/j.pnpbp.2021.110440.Peer-Reviewed Original ResearchConceptsDegraded Facial Affect Recognition TaskFacial emotion recognitionEmotion recognitionFacial affect recognition taskAffect recognition taskSocial cognition impairmentsFER deficitsIndividual emotionsPRS-SCZFER accuracyRecognition taskHealthy controlsSchizotypy-RevisedCognition impairmentIntermediate phenotypesPsychosis riskStructured interviewsEUGEI studySchizophreniaTotal scoreSiblingsGenetic riskDifferent patternsPsychosisEmotionsLongitudinal associations between alcohol use, smoking, genetic risk scoring and symptoms of depression in the general population: a prospective 6-year cohort study
de Boer N, Vermeulen J, Lin B, van Os J, Have M, de Graaf R, van Dorsselaer S, Bak M, Rutten B, Batalla A, Guloksuz S, Luykx J. Longitudinal associations between alcohol use, smoking, genetic risk scoring and symptoms of depression in the general population: a prospective 6-year cohort study. Psychological Medicine 2021, 53: 1409-1417. PMID: 35023464, PMCID: PMC10009403, DOI: 10.1017/s0033291721002968.Peer-Reviewed Original ResearchConceptsNumber of cigarettesDepressive symptomsAlcohol useLongitudinal associationsGeneral populationSmoking behaviorAlcohol consumptionGenetic risk scoringSymptoms of depressionGenetic risk score analysisGenetic risk scoreAlcohol cessationCohort studySmoking statusGlobal burdenMood disordersRisk scoreSmokingModerate drinkingRisk score analysisLess symptomsLinear mixed effects modelsSymptomsScore analysisRisk scoring
2020
Polygenic liability for schizophrenia and childhood adversity influences daily‐life emotion dysregulation and psychosis proneness
Pries L, Klingenberg B, Menne‐Lothmann C, Decoster J, van Winkel R, Collip D, Delespaul P, De Hert M, Derom C, Thiery E, Jacobs N, Wichers M, Cinar O, Lin B, Luykx J, Rutten B, van Os J, Guloksuz S. Polygenic liability for schizophrenia and childhood adversity influences daily‐life emotion dysregulation and psychosis proneness. Acta Psychiatrica Scandinavica 2020, 141: 465-475. PMID: 32027017, PMCID: PMC7318228, DOI: 10.1111/acps.13158.Peer-Reviewed Original ResearchConceptsDaily life stressorsChildhood adversityEmotion dysregulationPositive affectPsychosis pronenessMomentary mental statesEcological momentary assessmentChildhood Trauma QuestionnaireGene-environment correlationNegative affectMental statesMomentary assessmentPsychosis expressionTrauma QuestionnaireAdversityAffectYoung adultsStressorsNovel evidencePolygenic liabilityInteraction effectsPronenessSchizophreniaHigh PRSState domain
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 interactionsMemoryFunctioningReplicated evidence that endophenotypic expression of schizophrenia polygenic risk is greater in healthy siblings of patients compared to controls, suggesting gene–environment interaction. The EUGEI study
van Os J, 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, O'Donovan M, Rutten B, Guloksuz S. Replicated evidence that endophenotypic expression of schizophrenia polygenic risk is greater in healthy siblings of patients compared to controls, suggesting gene–environment interaction. The EUGEI study. Psychological Medicine 2019, 50: 1884-1897. PMID: 31414981, DOI: 10.1017/s003329171900196x.Peer-Reviewed Original ResearchConceptsPsychotic disordersPolygenic riskSchizophrenia polygenic riskGene-environment interactionsGenetic riskRelatives of patientsFirst-degree relativesPsychosis phenotypeAverage genetic riskIntermediate phenotypesHealthy siblingsCognitive intermediate phenotypesControl groupAnalysis of associationAverage riskPatientsEvidence 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 analysisToward incorporating genetic risk scores into symptom networks of psychosis
Isvoranu A, Guloksuz S, Epskamp S, van Os J, Borsboom D, Investigators. Toward incorporating genetic risk scores into symptom networks of psychosis. Psychological Medicine 2019, 50: 636-643. PMID: 30867074, PMCID: PMC7093319, DOI: 10.1017/s003329171900045x.Peer-Reviewed Original Research
2018
The Exposome Paradigm and the Complexities of Environmental Research in Psychiatry
Guloksuz S, van Os J, Rutten B. The Exposome Paradigm and the Complexities of Environmental Research in Psychiatry. JAMA Psychiatry 2018, 75: 985-986. PMID: 29874362, DOI: 10.1001/jamapsychiatry.2018.1211.Peer-Reviewed Original Research
2016
Exposure to environmental factors increases connectivity between symptom domains in the psychopathology network
Guloksuz S, van Nierop M, Bak M, de Graaf R, ten Have M, van Dorsselaer S, Gunther N, Lieb R, van Winkel R, Wittchen H, van Os J. Exposure to environmental factors increases connectivity between symptom domains in the psychopathology network. BMC Psychiatry 2016, 16: 223. PMID: 27391407, PMCID: PMC4939022, DOI: 10.1186/s12888-016-0935-1.Peer-Reviewed Original ResearchConceptsMental disordersSymptom dimensionsNetherlands Mental Health SurveyNEMESIS-1Symptom connectivityContinuous symptom dimensionsEnvironmental exposuresSelf-report Symptom Checklist-90Mental Health SurveySymptom Checklist-90Health SurveyPsychotic symptomsIncidence studyPopulation cohortSelf-reported psychopathologyConclusionsOur findingsDiagnostic categoriesSymptom domainsIndependent population cohortsRisk loadPsychopathology StudyDisordersRegression analysisCohortSymptoms
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