2022
Polygenic 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 polymorphismsEstimating the Association Between Exposome and Psychosis as Well as General Psychopathology: Results From the ABCD Study
Pries L, Moore T, Visoki E, Sotelo I, Barzilay R, Guloksuz S. Estimating the Association Between Exposome and Psychosis as Well as General Psychopathology: Results From the ABCD Study. Biological Psychiatry Global Open Science 2022, 2: 283-291. PMID: 36325038, PMCID: PMC9616253, DOI: 10.1016/j.bpsgos.2022.05.005.Peer-Reviewed Original ResearchPregnancy/birth complicationsExposome factorsGeneral psychopathologyBirth complicationsCognitive Development StudyGeneral psychopathology factorAdolescent Brain Cognitive Development (ABCD) studyClinical symptomsAdjusted modelMultiple comparison correctionExposome approachLinear regression analysisMental disordersNeurodevelopmental psychopathologyChildhood adversityPsychosisEnvironmental exposuresABCD studyNongenetic factorsComplicationsRegression analysisPsychopathology factorNeighborhood environmentPsychopathologyExposome
2021
Risk profiles for mental disorders
Gülöksüz S. Risk profiles for mental disorders. European Psychiatry 2021, 64: s71-s71. PMCID: PMC9471330, DOI: 10.1192/j.eurpsy.2021.220.Peer-Reviewed Original ResearchPsychiatric diagnosisSame psychiatric diagnosisDifferent psychiatric diagnosesSame treatment protocolClinical staging modelRisk profilingDiagnosis-specific treatmentsSame treatment planTreatment protocolTreatment responseMedical conditionsClinical practiceDiagnostic classification systemsTreatment planMental disordersStaging modelRisk profileDiscrete diagnostic categoriesPatientsDiagnostic categoriesClinical predictionDiagnosisEarly psychopathologyTraditional diagnostic boundariesPrognostication
2020
Do 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 variationPainAnalysis of GWAS-Derived Schizophrenia Genes for Links to Ischemia-Hypoxia Response of the Brain
Schmidt-Kastner R, Guloksuz S, Kietzmann T, van Os J, Rutten B. Analysis of GWAS-Derived Schizophrenia Genes for Links to Ischemia-Hypoxia Response of the Brain. Frontiers In Psychiatry 2020, 11: 393. PMID: 32477182, PMCID: PMC7235330, DOI: 10.3389/fpsyt.2020.00393.Peer-Reviewed Original ResearchObstetric complicationsIschemia-hypoxiaHypoxia-inducible factorNervous systemSynaptic functionMonogenic disordersFocal brain ischemiaGenome-wide association studiesChi-square testSCZ genesEarly brain developmentBrain ischemiaMental disordersMutation-intolerant genesBrain developmentSCZ genome-wide association studySynaptic genesDisordersBh geneSchizophreniaBrainGene setsResponse genesSchizophrenia genesSubsetAssociation of preceding psychosis risk states and non‐psychotic mental disorders with incidence of clinical psychosis in the general population: a prospective study in the NEMESIS‐2 cohort
Guloksuz S, Pries L, Ten Have M, de Graaf R, van Dorsselaer S, Klingenberg B, Bak M, Lin B, van Eijk K, Delespaul P, van Amelsvoort T, Luykx J, Rutten B, van Os J. Association of preceding psychosis risk states and non‐psychotic mental disorders with incidence of clinical psychosis in the general population: a prospective study in the NEMESIS‐2 cohort. World Psychiatry 2020, 19: 199-205. PMID: 32394548, PMCID: PMC7215054, DOI: 10.1002/wps.20755.Peer-Reviewed Original ResearchPsychosis high-risk statePopulation attributable fractionHigh-risk stateNon-psychotic mental disordersPsychosis risk statesDrug use disordersClinical high riskPsychosis incidenceProspective studyClinical psychosisIncidence rateMood disordersUse disordersMental disordersPopulation-based prospective studyCox proportional hazards modelProportional hazards modelHigher relative riskDSM-IV diagnosisPopulation-based improvementsRisk stateComprehensive prevention strategyAttributable fractionRelative riskPsychosis outcomesEvidence 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
The evidence‐based group‐level symptom‐reduction model as the organizing principle for mental health care: time for change?
van Os J, Guloksuz S, Vijn T, Hafkenscheid A, Delespaul P. The evidence‐based group‐level symptom‐reduction model as the organizing principle for mental health care: time for change? World Psychiatry 2019, 18: 88-96. PMID: 30600612, PMCID: PMC6313681, DOI: 10.1002/wps.20609.Peer-Reviewed Original ResearchMental health servicesMental health careHealth servicesSymptom reductionEvidence-based practice guidelinesMental vulnerabilityPublic mental health systemHealth careCommon mental disordersSelf-management toolsMental difficultiesMental health systemHigh prevalencePractice guidelinesEBP groupMental illnessMental disordersHealth systemCare interactionsSpecialist practitionersExistential domainDiagnosable disorderCarePeer supportTherapeutic relationship
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 Research
2017
A critique of the “ultra‐high risk” and “transition” paradigm
van Os J, Guloksuz S. A critique of the “ultra‐high risk” and “transition” paradigm. World Psychiatry 2017, 16: 200-206. PMID: 28498576, PMCID: PMC5428198, DOI: 10.1002/wps.20423.Peer-Reviewed Original ResearchClinical high riskUltra-high riskCommon mental disordersMental disordersPsychotic experiencesCHR researchHigh-risk approachMental health problemsPublic health perspectiveFalse-positive findingsTransdiagnostic expressionClinical picturePoor outcomePoor prognosisFunctional outcomeBaseline differencesHigh riskOmega-3Health problemsPositive findingsEpidemiological researchDiagnostic shiftUHR sampleYoung individualsHealth perspective
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
2013
Science, Psychiatry, and the DSM.
Atbaşoğlu E, Gülöksüz S. Science, Psychiatry, and the DSM. Turkish Journal Of Psychiatry 2013, 24: 202-12. PMID: 24049010, DOI: 10.5080/u7220.Peer-Reviewed Original ResearchConceptsGeneral medical conditionsGood vantage pointContemporary psychiatryBranches of medicineDetailed medical assessmentGeneral medical diagnosisVantage pointPsychiatryMedical conditionsApproach todayDSM disordersMedical assessmentStructural abnormalitiesMental disordersBiopsychosocial approachPsychiatric phenomenaSpecific causesStatistical ManualDiagnostic reliabilityScientific problemsDimensions of moodDisordersScienceMain scientific problemsDisciplines