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
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 ideation