2023
T15. 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 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
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 polymorphisms
2021
Interrogating 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 effectivenessContext v. algorithm: evidence that a transdiagnostic framework of contextual clinical characterization is of more clinical value than categorical diagnosis
van Os J, Pries L, Have M, de Graaf R, van Dorsselaer S, Bak M, Kenis G, Lin B, Gunther N, Luykx J, Rutten B, Guloksuz S. Context v. algorithm: evidence that a transdiagnostic framework of contextual clinical characterization is of more clinical value than categorical diagnosis. Psychological Medicine 2021, 53: 1825-1833. PMID: 37310330, PMCID: PMC10106290, DOI: 10.1017/s0033291721003445.Peer-Reviewed Original ResearchConceptsClinical characterizationPolygenic risk scoresClinical valueProspective general population cohortGeneral population cohortUse of medicationsPopulation attributable fractionPrediction of needDSM-IV diagnosisHealth care outcomesSymptom dimensionsTransdiagnostic frameworkClinical factorsAttributable fractionEtiological factorsRisk scoreCare outcomesCategorical algorithmService usePopulation cohortSociodemographic factorsTransdiagnostic symptom dimensionsPhysical healthDiagnosisDSM diagnosesWhat 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 use
2020
Phenome-wide and genome-wide analyses of quality of life in schizophrenia
Pazoki R, Lin B, van Eijk K, Schijven D, de Zwarte S, Alizadeh B, van Amelsvoort T, Bartels-Velthuis A, van Beveren N, Bruggeman R, Cahn W, de Haan L, Delespaul P, Luykx J, Myin-Germeys I, Kahn R, Schirmbeck F, Simons C, van Os J, van Winkel R, Guloksuz S, Luykx J. Phenome-wide and genome-wide analyses of quality of life in schizophrenia. BJPsych Open 2020, 7: e13. PMID: 33295273, PMCID: PMC7791571, DOI: 10.1192/bjo.2020.140.Peer-Reviewed Original ResearchPolygenic risk scoresRisk scoreClinical phenotypeNon-genetic contributing factorsMajor depressive disorderQuality of lifeDepressive disorderHealthy controlsVulnerable patientsStudy populationHypothesis-generating approachPatientsPsychotic disordersQoLSmall studyClinical interventionsSchizophreniaGenotypic determinantsScoresContributing factorDisordersPhenotypeAssociationDo 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 variationPainM126. THE MAIN AND INTERACTIVE EFFECTS OF ADULT STRESSFUL LIFE EVENTS WITH GENOMIC AND EXPOSOMIC LIABILITY FOR SCHIZOPHRENIA ON MENTAL AND PHYSICAL HEALTH: A PROSPECTIVE COHORT STUDY
Pries L, Have M, de Graaf R, van Dorsselaer S, Gunther N, Bak M, Li B, Luykx J, Rutten B, van Os J, Guloksuz S. M126. THE MAIN AND INTERACTIVE EFFECTS OF ADULT STRESSFUL LIFE EVENTS WITH GENOMIC AND EXPOSOMIC LIABILITY FOR SCHIZOPHRENIA ON MENTAL AND PHYSICAL HEALTH: A PROSPECTIVE COHORT STUDY. Schizophrenia Bulletin 2020, 46: s183-s183. PMCID: PMC7234581, DOI: 10.1093/schbul/sbaa030.438.Peer-Reviewed Original ResearchAdult stressful life eventsAssociations of SLEsStressful life eventsGeneral populationPhysical healthMental healthHealth SurveyHealth outcomesShort Form-36 Health SurveyNetherlands Mental Health SurveyImpact of SLEsRecent stressful life eventsProspective cohort studyPrevious health statusMental Health SurveyDutch general populationLife eventsCohort studyProspective surveyPolygenic risk scoresRisk scoreGene-environment interactionsGenetic predispositionHealth statusSchizophrenia