2020
Examining the independent and joint effects of genomic and exposomic liabilities for schizophrenia across the psychosis spectrum
Pries L, Dal Ferro G, van Os J, Delespaul P, 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, Alizadeh B, van Amelsvoort T, Bruggeman R, Cahn W, de Haan L, Rutten B, Luykx J, van Os J, van Winkel R, Arango C, O'Donovan M, Tosato S, Rutten B, Guloksuz S. Examining the independent and joint effects of genomic and exposomic liabilities for schizophrenia across the psychosis spectrum. Epidemiology And Psychiatric Sciences 2020, 29: e182. PMID: 33200977, PMCID: PMC7681168, DOI: 10.1017/s2045796020000943.Peer-Reviewed Original ResearchPolygenic liability for schizophrenia and childhood adversity influences daily‐life emotion dysregulation and psychosis proneness
Pries L, Klingenberg B, Menne‐Lothmann C, Decoster J, van Winkel R, Collip D, Delespaul P, De Hert M, Derom C, Thiery E, Jacobs N, Wichers M, Cinar O, Lin B, Luykx J, Rutten B, van Os J, Guloksuz S. Polygenic liability for schizophrenia and childhood adversity influences daily‐life emotion dysregulation and psychosis proneness. Acta Psychiatrica Scandinavica 2020, 141: 465-475. PMID: 32027017, PMCID: PMC7318228, DOI: 10.1111/acps.13158.Peer-Reviewed Original ResearchConceptsDaily life stressorsChildhood adversityEmotion dysregulationPositive affectPsychosis pronenessMomentary mental statesEcological momentary assessmentChildhood Trauma QuestionnaireGene-environment correlationNegative affectMental statesMomentary assessmentPsychosis expressionTrauma QuestionnaireAdversityAffectYoung adultsStressorsNovel evidencePolygenic liabilityInteraction effectsPronenessSchizophreniaHigh PRSState domain
2019
TwinssCan — Gene-Environment Interaction in Psychotic and Depressive Intermediate Phenotypes: Risk and Protective Factors in a General Population Twin Sample
Pries L, Snijders C, Menne-Lothmann C, Decoster J, van Winkel R, Collip D, Delespaul P, De Hert M, Derom C, Thiery E, Jacobs N, Wichers M, Guloksuz S, van Os J, Rutten B. TwinssCan — Gene-Environment Interaction in Psychotic and Depressive Intermediate Phenotypes: Risk and Protective Factors in a General Population Twin Sample. Twin Research And Human Genetics 2019, 22: 460-466. PMID: 31708010, DOI: 10.1017/thg.2019.96.Peer-Reviewed Original ResearchConceptsNeurocognitive processesSalience attributionSocial defeatGeneral population twin sampleExecutive functioningCognitive phenotypesExperimental paradigmSeverity of psychopathologyAffective dysregulationSubclinical expressionDimensional phenotypesMental ill healthClinical psychopathologyTwin sampleOnset of disorderPsychotic experiencesPsychopathologyProtective factorsSchizophrenia ProjectAttributionIll healthIntermediate phenotypesGene-environment interactionsMemoryFunctioningReplicated 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 riskPatientsPsychometric liability to psychosis and childhood adversities are associated with shorter telomere length: A study on schizophrenia patients, unaffected siblings, and non-clinical controls
Çevik B, Mançe-Çalışır Ö, Atbaşoğlu E, Saka M, Alptekin K, Üçok A, Sırmatel B, Gülöksüz S, Tükün A, van Os J, Gümüş-Akay G. Psychometric liability to psychosis and childhood adversities are associated with shorter telomere length: A study on schizophrenia patients, unaffected siblings, and non-clinical controls. Journal Of Psychiatric Research 2019, 111: 169-185. PMID: 30776705, DOI: 10.1016/j.jpsychires.2019.01.022.Peer-Reviewed Original ResearchConceptsShorter telomere lengthLonger telomere lengthChildhood adversityTelomere lengthUnaffected siblingsSCZ patientsChronic medical disordersCourse of schizophreniaSimilar telomere lengthPsychotic-like symptomsHypothesis patientsClinical presentationNon-clinical controlsMedical disordersGeneral populationFunctioning scoresPatientsSchizophrenia patientsSocio-demographic featuresGlobal assessmentEarly onsetSchizophreniaLife expectancyAges 0Potential role
2018
Higher schizotypy predicts better metabolic profile in unaffected siblings of patients with schizophrenia
Atbasoglu E, Gumus-Akay G, Guloksuz S, Saka M, Ucok A, Alptekin K, Gullu S, van Os J. Higher schizotypy predicts better metabolic profile in unaffected siblings of patients with schizophrenia. Psychopharmacology 2018, 235: 1029-1039. PMID: 29306964, DOI: 10.1007/s00213-017-4818-z.Peer-Reviewed Original ResearchConceptsInsulin resistanceDopaminergic activityMetabolic profileHomeostatic model assessmentHDL-C levelsBetter metabolic profilesFavorable metabolic profilePancreatic insulin secretionUnaffected siblingsBeads taskResultsInsulin resistanceTertile groupRegression modelsCentral actionInsulin secretionGeneral populationGenetic predispositionGlucose metabolismModel assessmentSZ patientsRegulatory roleDirect actionSignificant predictorsHigher likelihoodLongitudinal study
2014
Identifying Gene-Environment Interactions in Schizophrenia: Contemporary Challenges for Integrated, Large-scale Investigations
van Os J, Rutten B, Myin-Germeys I, Delespaul P, Viechtbauer W, van Zelst C, Bruggeman R, Reininghaus U, Morgan C, Murray R, Di Forti M, McGuire P, Valmaggia L, Kempton M, Gayer-Anderson C, Hubbard K, Beards S, Stilo S, Onyejiaka A, Bourque F, Modinos G, Tognin S, Calem M, O'Donovan M, Owen M, Holmans P, Williams N, Craddock N, Richards A, Humphreys I, Meyer-Lindenberg A, Leweke F, Tost H, Akdeniz C, Rohleder C, Bumb J, Schwarz E, Alptekin K, Üçok A, Saka M, Atbaşoğlu E, Gülöksüz S, Gumus-Akay G, Cihan B, Karadağ H, Soygür H, Cankurtaran E, Ulusoy S, Akdede B, Binbay T, Ayer A, Noyan H, Karadayı G, Akturan E, Ulaş H, Arango C, Parellada M, Bernardo M, Sanjuán J, Bobes J, Arrojo M, Santos J, Cuadrado P, Rodríguez Solano J, Carracedo A, García Bernardo E, Roldán L, López G, Cabrera B, Cruz S, Díaz Mesa E, Pouso M, Jiménez E, Sánchez T, Rapado M, González E, Martínez C, Sánchez E, Olmeda M, de Haan L, Velthorst E, van der Gaag M, Selten J, van Dam D, van der Ven E, van der Meer F, Messchaert E, Kraan T, Burger N, Leboyer M, Szoke A, Schürhoff F, Llorca P, Jamain S, Tortelli A, Frijda F, Vilain J, Galliot A, Baudin G, Ferchiou A, Richard J, Bulzacka E, Charpeaud T, Tronche A, De Hert M, van Winkel R, Decoster J, Derom C, Thiery E, Stefanis N, Sachs G, Aschauer H, Lasser I, Winklbaur B, Schlögelhofer M, Riecher-Rössler A, Borgwardt S, Walter A, Harrisberger F, Smieskova R, Rapp C, Ittig S, Soguel-dit-Piquard F, Studerus E, Klosterkötter J, Ruhrmann S, Paruch J, Julkowski D, Hilboll D, Sham P, Cherny S, Chen E, Campbell D, Li M, Romeo-Casabona C, Emaldi Cirión A, Urruela Mora A, Jones P, Kirkbride J, Cannon M, Rujescu D, Tarricone I, Berardi D, Bonora E, Seri M, Marcacci T, Chiri L, Chierzi F, Storbini V, Braca M, Minenna M, Donegani I, Fioritti A, La Barbera D, La Cascia C, Mulè A, Sideli L, Sartorio R, Ferraro L, Tripoli G, Seminerio F, Marinaro A, McGorry P, Nelson B, Amminger G, Pantelis C, Menezes P, Del-Ben C, Gallo Tenan S, Shuhama R, Ruggeri M, Tosato S, Lasalvia A, Bonetto C, Ira E, Nordentoft M, Krebs M, Barrantes-Vidal N, Cristóbal P, Kwapil T, Brietzke E, Bressan R, Gadelha A, Maric N, Andric S, Mihaljevic M, Mirjanic T. Identifying Gene-Environment Interactions in Schizophrenia: Contemporary Challenges for Integrated, Large-scale Investigations. Schizophrenia Bulletin 2014, 40: 729-736. PMID: 24860087, PMCID: PMC4059449, DOI: 10.1093/schbul/sbu069.Peer-Reviewed Original ResearchGene-Environment InteractionGenetic Predisposition to DiseaseHumansSchizophreniaSchizophrenic PsychologySocial Environment