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dc.contributor.authorHindley, Guy Frederick Lanyon
dc.contributor.authorBahrami, Shahram
dc.contributor.authorSteen, Nils Eiel
dc.contributor.authorO'Connell, Kevin Sean
dc.contributor.authorFrei, Oleksandr
dc.contributor.authorShadrin, Alexey
dc.contributor.authorBettella, Francesco
dc.contributor.authorRødevand, Linn
dc.contributor.authorFan, Chun-Chieh
dc.contributor.authorDale, Anders
dc.contributor.authorDjurovic, Srdjan
dc.contributor.authorSmeland, Olav Bjerkehagen
dc.contributor.authorAndreassen, Ole
dc.date.accessioned2021-09-22T09:36:12Z
dc.date.available2021-09-22T09:36:12Z
dc.date.created2021-09-20T13:10:39Z
dc.date.issued2021
dc.identifier.issn2158-3188
dc.identifier.urihttps://hdl.handle.net/11250/2780275
dc.description.abstractIncreased risk-taking is a central component of bipolar disorder (BIP) and is implicated in schizophrenia (SCZ). Risky behaviours, including smoking and alcohol use, are overrepresented in both disorders and associated with poor health outcomes. Positive genetic correlations are reported but an improved understanding of the shared genetic architecture between risk phenotypes and psychiatric disorders may provide insights into underlying neurobiological mechanisms. We aimed to characterise the genetic overlap between risk phenotypes and SCZ, and BIP by estimating the total number of shared variants using the bivariate causal mixture model and identifying shared genomic loci using the conjunctional false discovery rate method. Summary statistics from genome wide association studies of SCZ, BIP, risk-taking and risky behaviours were acquired (n = 82,315–466,751). Genomic loci were functionally annotated using FUMA. Of 8.6–8.7 K variants predicted to influence BIP, 6.6 K and 7.4 K were predicted to influence risk-taking and risky behaviours, respectively. Similarly, of 10.2–10.3 K variants influencing SCZ, 9.6 and 8.8 K were predicted to influence risk-taking and risky behaviours, respectively. We identified 192 loci jointly associated with SCZ and risk phenotypes and 206 associated with BIP and risk phenotypes, of which 68 were common to both risk-taking and risky behaviours and 124 were novel to SCZ or BIP. Functional annotation implicated differential expression in multiple cortical and sub-cortical regions. In conclusion, we report extensive polygenic overlap between risk phenotypes and BIP and SCZ, identify specific loci contributing to this shared risk and highlight biologically plausible mechanisms that may underlie risk-taking in severe psychiatric disorders.en_US
dc.language.isoengen_US
dc.publisherNature Researchen_US
dc.rightsNavngivelse 4.0 Internasjonal*
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/deed.no*
dc.titleCharacterising the shared genetic determinants of bipolar disorder, schizophrenia and risk-takingen_US
dc.typeJournal articleen_US
dc.typePeer revieweden_US
dc.description.versionpublishedVersionen_US
dc.rights.holderCopyright 2021 the authorsen_US
dc.source.articlenumber466en_US
cristin.ispublishedtrue
cristin.fulltextoriginal
cristin.qualitycode1
dc.identifier.doi10.1038/s41398-021-01576-4
dc.identifier.cristin1936014
dc.source.journalTranslational Psychiatryen_US
dc.identifier.citationTranslational Psychiatry. 2021, 11, 466.en_US
dc.source.volume11en_US


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