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dc.date.accessioned2021-11-27T18:45:21Z
dc.date.available2022-06-23T22:46:16Z
dc.date.created2021-07-07T11:38:38Z
dc.date.issued2021
dc.identifier.citationCheng, Weiqiu Frei, Oleksandr van der Meer, Dennis Wang, Yunpeng O`Connell, Kevin Chu, Yunhan Bahrami, Shahram Shadrin, Alexey A. Alnæs, Dag Hindley, Guy Frederick Lanyon Lin, Aihua Karadag, Naz Fan, Chun Chieh Westlye, Lars Tjelta Kaufmann, Tobias Molden, Espen Dale, Anders M. Djurovic, Srdjan Smeland, Olav Bjerkehagen Andreassen, Ole Andreas . Genetic Association Between Schizophrenia and Cortical Brain Surface Area and Thickness. JAMA psychiatry. 2021, 78(9), 1020-1030
dc.identifier.urihttp://hdl.handle.net/10852/89344
dc.description.abstractImportance Schizophrenia is a complex heritable disorder associated with many genetic variants, each with a small effect. While cortical differences between patients with schizophrenia and healthy controls are consistently reported, the underlying molecular mechanisms remain elusive. Objective To investigate the extent of shared genetic architecture between schizophrenia and brain cortical surface area (SA) and thickness (TH) and to identify shared genomic loci. Design, Setting, and Participants Independent genome-wide association study data on schizophrenia (Psychiatric Genomics Consortium and CLOZUK: n = 105 318) and SA and TH (UK Biobank: n = 33 735) were obtained. The extent of polygenic overlap was investigated using MiXeR. The specific shared genomic loci were identified by conditional/conjunctional false discovery rate analysis and were further examined in 3 independent cohorts. Data were collected from December 2019 to February 2021, and data analysis was performed from May 2020 to February 2021. Main Outcomes and Measures The primary outcomes were estimated fractions of polygenic overlap between schizophrenia, total SA, and average TH and a list of functionally characterized shared genomic loci. Results Based on genome-wide association study data from 139 053 participants, MiXeR estimated schizophrenia to be more polygenic (9703 single-nucleotide variants [SNVs]) than total SA (2101 SNVs) and average TH (1363 SNVs). Most SNVs associated with total SA (1966 of 2101 [93.6%]) and average TH (1322 of 1363 [97.0%]) may be associated with the development of schizophrenia. Subsequent conjunctional false discovery rate analysis identified 44 and 23 schizophrenia risk loci shared with total SA and average TH, respectively. The SNV associations of shared loci between schizophrenia and total SA revealed en masse concordant association between the discovery and independent cohorts. After removing high linkage disequilibrium regions, such as the major histocompatibility complex region, the shared loci were enriched in immunologic signature gene sets. Polygenic overlap and shared loci between schizophrenia and schizophrenia-associated regions of interest for SA (superior frontal and middle temporal gyri) and for TH (superior temporal, inferior temporal, and superior frontal gyri) were also identified. Conclusions and Relevance This study demonstrated shared genetic loci between cortical morphometry and schizophrenia, among which a subset are associated with immunity. These findings provide an insight into the complex genetic architecture and associated with schizophrenia.
dc.languageEN
dc.publisherAmerican Medical Association
dc.titleGenetic Association Between Schizophrenia and Cortical Brain Surface Area and Thickness
dc.typeJournal article
dc.creator.authorCheng, Weiqiu
dc.creator.authorFrei, Oleksandr
dc.creator.authorvan der Meer, Dennis
dc.creator.authorWang, Yunpeng
dc.creator.authorO`Connell, Kevin
dc.creator.authorChu, Yunhan
dc.creator.authorBahrami, Shahram
dc.creator.authorShadrin, Alexey A.
dc.creator.authorAlnæs, Dag
dc.creator.authorHindley, Guy Frederick Lanyon
dc.creator.authorLin, Aihua
dc.creator.authorKaradag, Naz
dc.creator.authorFan, Chun Chieh
dc.creator.authorWestlye, Lars Tjelta
dc.creator.authorKaufmann, Tobias
dc.creator.authorMolden, Espen
dc.creator.authorDale, Anders M.
dc.creator.authorDjurovic, Srdjan
dc.creator.authorSmeland, Olav Bjerkehagen
dc.creator.authorAndreassen, Ole Andreas
cristin.unitcode185,53,10,70
cristin.unitnameNORMENT part UiO
cristin.ispublishedtrue
cristin.fulltextpreprint
cristin.fulltextpostprint
cristin.qualitycode2
dc.identifier.cristin1920658
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=78&rft.spage=1020&rft.date=2021
dc.identifier.jtitleJAMA psychiatry
dc.identifier.volume78
dc.identifier.issue9
dc.identifier.doihttps://doi.org/10.1001/jamapsychiatry.2021.1435
dc.identifier.urnURN:NBN:no-91960
dc.type.documentTidsskriftartikkel
dc.type.peerreviewedPeer reviewed
dc.source.issn2168-6238
dc.identifier.fulltextFulltext https://www.duo.uio.no/bitstream/handle/10852/89344/1/SCZ-cortex_plain_Manuscript_April26.pdf
dc.type.versionAcceptedVersion
cristin.articleid1020
dc.relation.projectNFR/223273
dc.relation.projectNFR/229129
dc.relation.projectNFR/213837
dc.relation.projectNFR/276082
dc.relation.projectNFR/248980
dc.relation.projectNIHE/NS057198
dc.relation.projectNIHE/EB00790
dc.relation.projectSKGJ/SKGJ-MED-021
dc.relation.projectHSØ/2017-112
dc.relation.projectSKGJ/SKGJ-MED-008
dc.relation.projectEC/HEU/801133 Marie Skłodowska-Curie grant agreement
dc.relation.projectEC/HEU/847776 CoMorMent
dc.relation.projectUIO/part of convergence environment (MultiModal Mental Models [4MENT])
dc.relation.projectNFR/298646
dc.relation.projectNFR/300767


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