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dc.date.accessioned2022-11-02T16:16:36Z
dc.date.available2022-11-02T16:16:36Z
dc.date.created2022-05-11T13:39:37Z
dc.date.issued2022
dc.identifier.citationPardiñas, Antonio F. Smart, Sophie E. Willcocks, Isabella R. Holmans, Peter A. Dennison, Charlotte A. Lynham, Amy J. Legge, Sophie E. Baune, Bernhard T. Bigdeli, Tim B. Cairns, Murray J. Corvin, Aiden Fanous, Ayman H. Frank, Josef Kelly, Brian McQuillin, Andrew Melle, Ingrid Mortensen, Preben B. Mowry, Bryan J. Pato, Carlos N. Periyasamy, Sathish Rietschel, Marcella Rujescu, Dan Simonsen, Carmen Elisabeth St Clair, David Tooney, Paul Wu, Jing Qin Andreassen, Ole Kowalec, Kaarina Sullivan, Patrick F. Murray, Robin M. Owen, Michael J. MacCabe, James H. O'Donovan, Michael C. Walters, James T. R. Ajnakina, Olesya Alameda, Luis Barnes, Thomas R. E. Berardi, Domenico Bonora, Elena Camporesi, Sara Cleusix, Martine Conus, Philippe Crespo-Facorro, Benedicto D'Andrea, Giuseppe Demjaha, Arsime Do, Kim Q. Doody, Gillian A. Eap, Chin B. Ferchiou, Aziz Di Forti, Marta Guidi, Lorenzo Homman, Lina Jenni, Raoul Joyce, Eileen M. Kassoumeri, Laura Khadimallah, Inès Lastrina, Ornella Muratori, Roberto Noyan, Handan O'Neill, Francis A. Pignon, Baptiste Restellini, Romeo Richard, Jean-Romain Schürhoff, Franck Španiel, Filip Szöke, Andrei Tarricone, Ilaria Tortelli, Andrea Üçok, Alp Vázquez-Bourgon, Javier . Interaction Testing and Polygenic Risk Scoring to Estimate the Association of Common Genetic Variants with Treatment Resistance in Schizophrenia. JAMA psychiatry. 2022, 79(3), 260-269
dc.identifier.urihttp://hdl.handle.net/10852/97477
dc.description.abstractImportance About 20% to 30% of people with schizophrenia have psychotic symptoms that do not respond adequately to first-line antipsychotic treatment. This clinical presentation, chronic and highly disabling, is known as treatment-resistant schizophrenia (TRS). The causes of treatment resistance and their relationships with causes underlying schizophrenia are largely unknown. Adequately powered genetic studies of TRS are scarce because of the difficulty in collecting data from well-characterized TRS cohorts. Objective To examine the genetic architecture of TRS through the reassessment of genetic data from schizophrenia studies and its validation in carefully ascertained clinical samples. Design, Setting, and Participants Two case-control genome-wide association studies (GWASs) of schizophrenia were performed in which the case samples were defined as individuals with TRS (n = 10 501) and individuals with non-TRS (n = 20 325). The differences in effect sizes for allelic associations were then determined between both studies, the reasoning being such differences reflect treatment resistance instead of schizophrenia. Genotype data were retrieved from the CLOZUK and Psychiatric Genomics Consortium (PGC) schizophrenia studies. The output was validated using polygenic risk score (PRS) profiling of 2 independent schizophrenia cohorts with TRS and non-TRS: a prevalence sample with 817 individuals (Cardiff Cognition in Schizophrenia [CardiffCOGS]) and an incidence sample with 563 individuals (Genetics Workstream of the Schizophrenia Treatment Resistance and Therapeutic Advances [STRATA-G]). Main Outcomes and Measures GWAS of treatment resistance in schizophrenia. The results of the GWAS were compared with complex polygenic traits through a genetic correlation approach and were used for PRS analysis on the independent validation cohorts using the same TRS definition. Results The study included a total of 85 490 participants (48 635 [56.9%] male) in its GWAS stage and 1380 participants (859 [62.2%] male) in its PRS validation stage. Treatment resistance in schizophrenia emerged as a polygenic trait with detectable heritability (1% to 4%), and several traits related to intelligence and cognition were found to be genetically correlated with it (genetic correlation, 0.41-0.69). PRS analysis in the CardiffCOGS prevalence sample showed a positive association between TRS and a history of taking clozapine (r2 = 2.03%; P = .001), which was replicated in the STRATA-G incidence sample (r2 = 1.09%; P = .04). Conclusions and Relevance In this GWAS, common genetic variants were differentially associated with TRS, and these associations may have been obscured through the amalgamation of large GWAS samples in previous studies of broadly defined schizophrenia. Findings of this study suggest the validity of meta-analytic approaches for studies on patient outcomes, including treatment resistance.
dc.languageEN
dc.publisherAmerican Medical Association
dc.rightsAttribution 4.0 International
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/
dc.titleInteraction Testing and Polygenic Risk Scoring to Estimate the Association of Common Genetic Variants with Treatment Resistance in Schizophrenia
dc.title.alternativeENEngelskEnglishInteraction Testing and Polygenic Risk Scoring to Estimate the Association of Common Genetic Variants with Treatment Resistance in Schizophrenia
dc.typeJournal article
dc.creator.authorPardiñas, Antonio F.
dc.creator.authorSmart, Sophie E.
dc.creator.authorWillcocks, Isabella R.
dc.creator.authorHolmans, Peter A.
dc.creator.authorDennison, Charlotte A.
dc.creator.authorLynham, Amy J.
dc.creator.authorLegge, Sophie E.
dc.creator.authorBaune, Bernhard T.
dc.creator.authorBigdeli, Tim B.
dc.creator.authorCairns, Murray J.
dc.creator.authorCorvin, Aiden
dc.creator.authorFanous, Ayman H.
dc.creator.authorFrank, Josef
dc.creator.authorKelly, Brian
dc.creator.authorMcQuillin, Andrew
dc.creator.authorMelle, Ingrid
dc.creator.authorMortensen, Preben B.
dc.creator.authorMowry, Bryan J.
dc.creator.authorPato, Carlos N.
dc.creator.authorPeriyasamy, Sathish
dc.creator.authorRietschel, Marcella
dc.creator.authorRujescu, Dan
dc.creator.authorSimonsen, Carmen Elisabeth
dc.creator.authorSt Clair, David
dc.creator.authorTooney, Paul
dc.creator.authorWu, Jing Qin
dc.creator.authorAndreassen, Ole
dc.creator.authorKowalec, Kaarina
dc.creator.authorSullivan, Patrick F.
dc.creator.authorMurray, Robin M.
dc.creator.authorOwen, Michael J.
dc.creator.authorMacCabe, James H.
dc.creator.authorO'Donovan, Michael C.
dc.creator.authorWalters, James T. R.
dc.creator.authorAjnakina, Olesya
dc.creator.authorAlameda, Luis
dc.creator.authorBarnes, Thomas R. E.
dc.creator.authorBerardi, Domenico
dc.creator.authorBonora, Elena
dc.creator.authorCamporesi, Sara
dc.creator.authorCleusix, Martine
dc.creator.authorConus, Philippe
dc.creator.authorCrespo-Facorro, Benedicto
dc.creator.authorD'Andrea, Giuseppe
dc.creator.authorDemjaha, Arsime
dc.creator.authorDo, Kim Q.
dc.creator.authorDoody, Gillian A.
dc.creator.authorEap, Chin B.
dc.creator.authorFerchiou, Aziz
dc.creator.authorDi Forti, Marta
dc.creator.authorGuidi, Lorenzo
dc.creator.authorHomman, Lina
dc.creator.authorJenni, Raoul
dc.creator.authorJoyce, Eileen M.
dc.creator.authorKassoumeri, Laura
dc.creator.authorKhadimallah, Inès
dc.creator.authorLastrina, Ornella
dc.creator.authorMuratori, Roberto
dc.creator.authorNoyan, Handan
dc.creator.authorO'Neill, Francis A.
dc.creator.authorPignon, Baptiste
dc.creator.authorRestellini, Romeo
dc.creator.authorRichard, Jean-Romain
dc.creator.authorSchürhoff, Franck
dc.creator.authorŠpaniel, Filip
dc.creator.authorSzöke, Andrei
dc.creator.authorTarricone, Ilaria
dc.creator.authorTortelli, Andrea
dc.creator.authorÜçok, Alp
dc.creator.authorVázquez-Bourgon, Javier
cristin.unitcode185,53,10,70
cristin.unitnameNORMENT part UiO
cristin.ispublishedtrue
cristin.fulltextoriginal
cristin.qualitycode2
dc.identifier.cristin2023594
dc.identifier.bibliographiccitationinfo:ofi/fmt:kev:mtx:ctx&ctx_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.jtitle=JAMA psychiatry&rft.volume=79&rft.spage=260&rft.date=2022
dc.identifier.jtitleJAMA psychiatry
dc.identifier.volume79
dc.identifier.issue3
dc.identifier.doihttps://doi.org/10.1001/jamapsychiatry.2021.3799
dc.type.documentTidsskriftartikkel
dc.type.peerreviewedPeer reviewed
dc.source.issn2168-6238
dc.type.versionPublishedVersion
cristin.articleid260


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