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dc.contributor.authorO'Connell, Kevin Sean
dc.contributor.authorFrei, Oleksandr
dc.contributor.authorBahrami, Shahram
dc.contributor.authorSmeland, Olav Bjerkehagen
dc.contributor.authorBettella, Francesco
dc.contributor.authorCheng, Weiqiu
dc.contributor.authorChu, Yunhan
dc.contributor.authorHindley, Guy
dc.contributor.authorLin, Aihua
dc.contributor.authorShadrin, Alexey
dc.contributor.authorBarrett, Elizabeth Ann
dc.contributor.authorLagerberg, Trine Vik
dc.contributor.authorSteen, Nils Eiel
dc.contributor.authorDale, Anders M.
dc.contributor.authorDjurovic, Srdjan
dc.contributor.authorAndreassen, Ole A.
dc.date.accessioned2022-03-29T09:19:00Z
dc.date.available2022-03-29T09:19:00Z
dc.date.created2021-09-28T21:58:50Z
dc.date.issued2021
dc.identifier.issn0006-3223
dc.identifier.urihttps://hdl.handle.net/11250/2988220
dc.description.abstractBackground: A range of sleep disturbances are commonly experienced by patients with psychiatric disorders, and genome-wide genetic analyses have shown some significant genetic correlations between these traits. Here, we applied novel statistical genetic methodologies to better characterize the potential shared genetic architecture between sleep-related phenotypes and psychiatric disorders. Methods: Using the MiXeR method, which can estimate polygenic overlap beyond genetic correlation, the shared genetic architecture between major psychiatric disorders (bipolar disorder [N = 51,710], depression [N = 480,359], and schizophrenia [N = 77,096]) and sleep-related phenotypes (chronotype [N = 449,734], insomnia [N = 386,533] and sleep duration [N = 446,118]) were quantified on the basis of genetic summary statistics. Furthermore, the conditional/conjunctional false discovery rate framework was used to identify specific shared loci between these phenotypes, for which positional and functional annotation were conducted with FUMA. Results: Extensive genetic overlap between the sleep-related phenotypes and bipolar disorder (63%–77%), depression (76%–79%), and schizophrenia (64%–79%) was identified, with moderate levels of congruence between most investigated traits (47%–58%). Specific shared loci were identified for all bivariate analyses, and a subset of 70 credible genes were mapped to these shared loci. Conclusions: The current results provide evidence for substantial polygenic overlap between psychiatric disorders and sleep-related phenotypes, beyond genetic correlation (|rg| = 0.02 to 0.42). Moderate congruency within the shared genetic components suggests a complex genetic relationship and potential subgroups with higher or lower genetic concordance. This work provides new insights and understanding of the shared genetic etiology of sleep-related phenotypes and psychiatric disorders and highlights new opportunities and avenues for future investigation.en_US
dc.language.isoengen_US
dc.publisherElsevieren_US
dc.rightsNavngivelse 4.0 Internasjonal*
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/deed.no*
dc.titleCharacterizing the Genetic Overlap Between Psychiatric Disorders and Sleep-Related Phenotypesen_US
dc.typeJournal articleen_US
dc.typePeer revieweden_US
dc.description.versionpublishedVersionen_US
dc.rights.holderCopyright 2021 Society of Biological Psychiatryen_US
cristin.ispublishedtrue
cristin.fulltextoriginal
cristin.qualitycode2
dc.identifier.doi10.1016/j.biopsych.2021.07.007
dc.identifier.cristin1940158
dc.source.journalBiological Psychiatryen_US
dc.source.pagenumber621-631en_US
dc.identifier.citationBiological Psychiatry. 2021, 90 (9), 621-631.en_US
dc.source.volume90en_US
dc.source.issue9en_US


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