2023
Clustering Schizophrenia Genes by Their Temporal Expression Patterns Aids Functional Interpretation
van der Meer D, Cheng W, Rokicki J, Fernandez-Cabello S, Shadrin A, Smeland O, Ehrhart F, Gülöksüz S, Pries L, Lin B, Rutten B, van Os J, O’Donovan M, Richards A, Steen N, Djurovic S, Westlye L, Andreassen O, Kaufmann T, Aguilar E, Akdede B, Alptekin K, Altınyazar V, Amoretti S, Andric-Petrovic S, Arango C, Arrojo M, Atbaşoğlu C, Bernardo M, Binbay T, Bobes J, Cankurtaran E, Carracedo A, Cihan B, Delespaul P, García-Portilla M, González-Peñas J, Guloksuz S, Gümüş-Akay G, Jiménez-López E, Ulusoy Kaymak S, Kenis G, Lin B, López G, Luykx J, Maric N, Mezquida G, Mihaljevic M, Mirjanic T, Parellada M, Pries K, Rivero O, Rutten B, Saiz P, Can Saka M, Sanjuan J, Luis Santos J, Soygür H, Üçok A, Ulaş H, van Os J, Yalınçetin B, Alizadeh B, van Amelsvoort T, Cahn W, de Haan L, Schirmbeck F, van Os J, Veling W. Clustering Schizophrenia Genes by Their Temporal Expression Patterns Aids Functional Interpretation. Schizophrenia Bulletin 2023, 50: 327-338. PMID: 37824720, PMCID: PMC10919784, DOI: 10.1093/schbul/sbad140.Peer-Reviewed Original ResearchAge-matched healthy controlsBrain maturational processesIndependent clinical cohortsOnset of symptomsPolygenic riskCortical tissue samplesGenetic risk factorsDevelopment of schizophreniaHeritable brain disorderSymptom onsetHealthy controlsRisk factorsClinical cohortEarly neurodevelopmentPolygenic risk scoresRisk scoreImmune systemSchizophrenia diagnosisBrain disordersSchizophreniaNeuronal communicationStrong associationEarly adulthoodTissue samplesMaturational processes
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 scoreHealthAssociation
2020
Evidence, 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 ResearchConceptsSchizophrenia 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 ideationDo 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 variationPain
2019
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
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 riskPatients
2017
Evidence that polygenic risk for psychotic disorder is expressed in the domain of neurodevelopment, emotion regulation and attribution of salience
van Os J, van der Steen Y, Islam M, Gülöksüz S, Rutten B, Simons C. Evidence that polygenic risk for psychotic disorder is expressed in the domain of neurodevelopment, emotion regulation and attribution of salience. Psychological Medicine 2017, 47: 2421-2437. PMID: 28436345, DOI: 10.1017/s0033291717000915.Peer-Reviewed Original ResearchConceptsPolygenic risk scoresHealthy comparison subjectsPsychotic disordersAttribution of salienceAffective episodesComparison subjectsIntelligence quotientTotal scorePolygenic riskFirst-degree relativesElevated genetic riskLower intelligence quotientManic episodesHealthy relativesRisk scoreNeurodevelopmental alterationsDepression subscaleLifetime ratesSimilar associationPsychosis riskFloor effectsGenetic riskPositive subscalePsychosis phenotypeDisorders