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dc.date.accessioned2023-06-15T15:15:24Z
dc.date.available2023-06-15T15:15:24Z
dc.date.created2023-06-12T11:56:13Z
dc.date.issued2023
dc.identifier.citationFominykh, Vera Shadrin, Alexey Jaholkowski, Piotr Pawel Bahrami, Shahram Athanasiu, Lavinia Wightman, Douglas P. Uffelmann, Emil Posthuma, Danielle Selbæk, Geir Dale, Anders Djurovic, Srdjan Frei, Oleksandr Andreassen, Ole . Shared genetic loci between Alzheimer's disease and multiple sclerosis: Crossroads between neurodegeneration and immune system. Neurobiology of Disease. 2023
dc.identifier.urihttp://hdl.handle.net/10852/102510
dc.description.abstractBackground Neuroinflammation is involved in the pathophysiology of Alzheimer's disease (AD), including immune-linked genetic variants and molecular pathways, microglia and astrocytes. Multiple Sclerosis (MS) is a chronic, immune-mediated disease with genetic and environmental risk factors and neuropathological features. There are clinical and pathobiological similarities between AD and MS. Here, we investigated shared genetic susceptibility between AD and MS to identify putative pathological mechanisms shared between neurodegeneration and the immune system. Methods We analysed GWAS data for late-onset AD (N cases = 64,549, N controls = 634,442) and MS (N cases = 14,802, N controls = 26,703). Gaussian causal mixture modelling (MiXeR) was applied to characterise the genetic architecture and overlap between AD and MS. Local genetic correlation was investigated with Local Analysis of [co]Variant Association (LAVA). The conjunctional false discovery rate (conjFDR) framework was used to identify the specific shared genetic loci, for which functional annotation was conducted with FUMA and Open Targets. Results MiXeR analysis showed comparable polygenicities for AD and MS (approximately 1800 trait-influencing variants) and genetic overlap with 20% of shared trait-influencing variants despite negligible genetic correlation (rg = 0.03), suggesting mixed directions of genetic effects across shared variants. conjFDR analysis identified 16 shared genetic loci, with 8 having concordant direction of effects in AD and MS. Annotated genes in shared loci were enriched in molecular signalling pathways involved in inflammation and the structural organisation of neurons. Conclusions Despite low global genetic correlation, the current results provide evidence for polygenic overlap between AD and MS. The shared loci between AD and MS were enriched in pathways involved in inflammation and neurodegeneration, highlighting new opportunities for future investigation.
dc.description.abstractShared genetic loci between Alzheimer's disease and multiple sclerosis: Crossroads between neurodegeneration and immune system
dc.languageEN
dc.rightsAttribution 4.0 International
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/
dc.titleShared genetic loci between Alzheimer's disease and multiple sclerosis: Crossroads between neurodegeneration and immune system
dc.title.alternativeENEngelskEnglishShared genetic loci between Alzheimer's disease and multiple sclerosis: Crossroads between neurodegeneration and immune system
dc.typeJournal article
dc.creator.authorFominykh, Vera
dc.creator.authorShadrin, Alexey
dc.creator.authorJaholkowski, Piotr Pawel
dc.creator.authorBahrami, Shahram
dc.creator.authorAthanasiu, Lavinia
dc.creator.authorWightman, Douglas P.
dc.creator.authorUffelmann, Emil
dc.creator.authorPosthuma, Danielle
dc.creator.authorSelbæk, Geir
dc.creator.authorDale, Anders
dc.creator.authorDjurovic, Srdjan
dc.creator.authorFrei, Oleksandr
dc.creator.authorAndreassen, Ole
cristin.unitcode185,53,10,70
cristin.unitnameNORMENT part UiO
cristin.ispublishedtrue
cristin.fulltextpostprint
cristin.qualitycode1
dc.identifier.cristin2153725
dc.identifier.bibliographiccitationinfo:ofi/fmt:kev:mtx:ctx&ctx_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.jtitle=Neurobiology of Disease&rft.volume=&rft.spage=&rft.date=2023
dc.identifier.jtitleNeurobiology of Disease
dc.identifier.volume183
dc.identifier.doihttps://doi.org/10.1016/j.nbd.2023.106174
dc.type.documentTidsskriftartikkel
dc.type.peerreviewedPeer reviewed
dc.source.issn0969-9961
dc.type.versionPublishedVersion
cristin.articleid106174
dc.relation.projectSKGJ/SKGJ-MED-021
dc.relation.projectSIGMA2/NS9666S
dc.relation.projectNFR/229129
dc.relation.projectNFR/213837
dc.relation.projectNFR/324252
dc.relation.projectNFR/326813
dc.relation.projectNFR/300309
dc.relation.projectNFR/273291
dc.relation.projectNFR/223273
dc.relation.projectNFR/248980
dc.relation.projectNFR/296030
dc.relation.projectHSØ/2022-073
dc.relation.projectEC/HEU/847776
dc.relation.projectEC/HEU/964874
dc.relation.projectEEANORWAYGRANTS/EEA-RO-NO-2018-0573
dc.relation.projectEEANORWAYGRANTS/EEA-RO-NO-2018-0535
dc.relation.projectERC/834057
dc.relation.projectNIHE/EB00790
dc.relation.projectNIHE/NS057198


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