2024
T78. GENE-ENVIRONMENT INTERACTION STUDY ON THE CORRELATES FOR PSYCHOTIC EXPERIENCES IN THE UK BIOBANK
Lin B, Pries L, Magnasco A, Gülöksüz S. T78. GENE-ENVIRONMENT INTERACTION STUDY ON THE CORRELATES FOR PSYCHOTIC EXPERIENCES IN THE UK BIOBANK. European Neuropsychopharmacology 2024, 87: 195-196. DOI: 10.1016/j.euroneuro.2024.08.388.Peer-Reviewed Original ResearchExposome-wide association studyPolygenic risk scoresPRS-SCZGene-environment interactionsGene-environment interaction studiesPsychotic experiencesAssociation studiesPhysical health outcomesLogistic regression modelsNon-psychotic disordersHealth outcomesUK BiobankMental distressNominal significanceRisk scoreMedical conditionsSleep problemsSelf-harm behaviorsRegression modelsAdditive interactionGxE interactionsAgnostic analysisGxEGenetic underpinningsExposure to PEAssociations Between Genetic Risk, Physical Activities, and Distressing Psychotic-like Experiences
Ku B, Yuan Q, Arias-Magnasco A, Lin B, Walker E, Druss B, Ren J, van Os J, Guloksuz S. Associations Between Genetic Risk, Physical Activities, and Distressing Psychotic-like Experiences. Schizophrenia Bulletin 2024, sbae141. PMID: 39171674, DOI: 10.1093/schbul/sbae141.Peer-Reviewed Original ResearchPhysical activityPRS-SCZDistressing psychotic-like experiencesPsychotic-like experiencesDevelopment of psychosisMechanisms of physical activityGenetic liabilityParticipants of European ancestryPolygenic risk scoresIncome-to-needs ratioBody mass indexAssociated with trajectoriesAssociated with less riskAdolescent Brain Cognitive Development StudyAssociated with impaired functionFamily history of psychosisLinear mixed modelsGeneralized linear mixed modelsCognitive Development StudyHistory of psychosisEuropean ancestryGenetic riskFamily historyMass indexRisk score
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 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 scoreHealthAssociation
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 effectivenessExamining 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 patternsPsychosisEmotions
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 Survey
2019
Examining the independent and joint effects of molecular genetic liability and environmental exposures in schizophrenia: results from the EUGEI study
Guloksuz S, 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, Atbaşog˘lu C, Ucok A, Alptekin K, Saka M, investigators G, Arango C, O'Donovan M, Rutten B, van Os J. Examining the independent and joint effects of molecular genetic liability and environmental exposures in schizophrenia: results from the EUGEI study. World Psychiatry 2019, 18: 173-182. PMID: 31059627, PMCID: PMC6502485, DOI: 10.1002/wps.20629.Peer-Reviewed Original ResearchSchizophrenia spectrum disordersEnvironmental exposuresGene-environment interactionsEtiopathogenesis of schizophreniaAdditive interactionEarly life adversityEarly TwinSeason of birthPolygenic risk scoresSpectrum disorderMultiple common genetic variantsRisk scoreRegular cannabisLifetime historyJoint associationsPRS-SCZCommon genetic variantsHearing impairmentSchizophreniaUnrelated controlsEUGEI studyDisordersFamily studiesGenetic liabilityRisk state