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dc.contributor.authorDrange, Ole Kristianen_US
dc.contributor.authorSmeland, Olav Bjerkehagenen_US
dc.contributor.authorShadrin, Alexey A.en_US
dc.contributor.authorFinseth, Per Ivaren_US
dc.contributor.authorWitoelar, Areeen_US
dc.contributor.authorFrei, Oleksandren_US
dc.contributor.authorWang, Yunpengen_US
dc.contributor.authorHassani, Saharen_US
dc.contributor.authorDjurovic, Srdjanen_US
dc.contributor.authorDale, Anders Men_US
dc.contributor.authorAndreassen, Ole Andreasen_US
dc.date.accessioned2019-12-17T09:13:08Z
dc.date.available2019-12-17T09:13:08Z
dc.date.issued2019-03-13
dc.PublishedDrange OK, Smeland OB, Shadrin AA, Finseth PI, Witoelar AW, Frei O, Wang Y, Hassani S, Djurovic S, Dale AM, Andreassen OA. Genetic Overlap Between Alzheimer’s Disease and Bipolar Disorder Implicates the MARK2 and VAC14 Genes. Frontiers in Neuroscience. 2019;13:220.eng
dc.identifier.issn1662-453X
dc.identifier.issn1662-4548
dc.identifier.urihttps://hdl.handle.net/1956/21142
dc.description.abstractBackground: Alzheimer’s disease (AD) and bipolar disorder (BIP) are complex traits influenced by numerous common genetic variants, most of which remain to be detected. Clinical and epidemiological evidence suggest that AD and BIP are related. However, it is not established if this relation is of genetic origin. Here, we applied statistical methods based on the conditional false discovery rate (FDR) framework to detect genetic overlap between AD and BIP and utilized this overlap to increase the power to identify common genetic variants associated with either or both traits. Methods: We obtained genome wide association studies data from the International Genomics of Alzheimer’s Project part 1 (17,008 AD cases and 37,154 controls) and the Psychiatric Genetic Consortium Bipolar Disorder Working Group (20,352 BIP cases and 31,358 controls). We used conditional QQ-plots to assess overlap in common genetic variants between AD and BIP. We exploited the genetic overlap to re-rank test-statistics for AD and BIP and improve detection of genetic variants using the conditional FDR framework. Results: Conditional QQ-plots demonstrated a polygenic overlap between AD and BIP. Using conditional FDR, we identified one novel genomic locus associated with AD, and nine novel loci associated with BIP. Further, we identified two novel loci jointly associated with AD and BIP implicating the MARK2 gene (lead SNP rs10792421, conjunctional FDR = 0.030, same direction of effect) and the VAC14 gene (lead SNP rs11649476, conjunctional FDR = 0.022, opposite direction of effect). Conclusion: We found polygenic overlap between AD and BIP and identified novel loci for each trait and two jointly associated loci. Further studies should examine if the shared loci implicating the MARK2 and VAC14 genes could explain parts of the shared and distinct features of AD and BIP.en_US
dc.language.isoengeng
dc.publisherFrontiers Mediaeng
dc.rightsAttribution CC BY 4.0eng
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/eng
dc.titleGenetic Overlap Between Alzheimer’s Disease and Bipolar Disorder Implicates the MARK2 and VAC14 Genesen_US
dc.typePeer reviewed
dc.typeJournal article
dc.date.updated2019-09-24T12:58:19Z
dc.description.versionpublishedVersionen_US
dc.rights.holderCopyright 2019 Drange, Smeland, Shadrin, Finseth, Witoelar, Frei, Psychiatric Genomics Consortium Bipolar Disorder Working Group, Wang, Hassani, Djurovic, Dale and Andreassen.
dc.identifier.doihttps://doi.org/10.3389/fnins.2019.00220
dc.identifier.cristin1692337
dc.source.journalFrontiers in Neuroscience


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