Integration of Alzheimer’s disease genetics and myeloid genomics identifies disease risk regulatory elements and genes

dc.contributor.authorNovikova, Gloriia
dc.contributor.authorKapoor, Manav
dc.contributor.authorTCW, Julia
dc.contributor.authorAbud, Edsel M.
dc.contributor.authorEfthymiou, Anastasia G.
dc.contributor.authorChen, Steven X.
dc.contributor.authorCheng, Haoxiang
dc.contributor.authorFullard, John F.
dc.contributor.authorBendl, Jaroslav
dc.contributor.authorLiu, Yiyuan
dc.contributor.authorRoussos, Panos
dc.contributor.authorBjörkegren, Johan LM
dc.contributor.authorLiu, Yunlong
dc.contributor.authorPoon, Wayne W.
dc.contributor.authorHao, Ke
dc.contributor.authorMarcora, Edoardo
dc.contributor.authorGoate, Alison M.
dc.contributor.departmentMedical and Molecular Genetics, School of Medicineen_US
dc.date.accessioned2022-07-06T10:20:56Z
dc.date.available2022-07-06T10:20:56Z
dc.date.issued2021-03-12
dc.description.abstractGenome-wide association studies (GWAS) have identified more than 40 loci associated with Alzheimer’s disease (AD), but the causal variants, regulatory elements, genes and pathways remain largely unknown, impeding a mechanistic understanding of AD pathogenesis. Previously, we showed that AD risk alleles are enriched in myeloid-specific epigenomic annotations. Here, we show that they are specifically enriched in active enhancers of monocytes, macrophages and microglia. We integrated AD GWAS with myeloid epigenomic and transcriptomic datasets using analytical approaches to link myeloid enhancer activity to target gene expression regulation and AD risk modification. We identify AD risk enhancers and nominate candidate causal genes among their likely targets (including AP4E1, AP4M1, APBB3, BIN1, MS4A4A, MS4A6A, PILRA, RABEP1, SPI1, TP53INP1, and ZYX) in twenty loci. Fine-mapping of these enhancers nominates candidate functional variants that likely modify AD risk by regulating gene expression in myeloid cells. In the MS4A locus we identified a single candidate functional variant and validated it in human induced pluripotent stem cell (hiPSC)-derived microglia and brain. Taken together, this study integrates AD GWAS with multiple myeloid genomic datasets to investigate the mechanisms of AD risk alleles and nominates candidate functional variants, regulatory elements and genes that likely modulate disease susceptibility.en_US
dc.eprint.versionFinal published versionen_US
dc.identifier.citationNovikova G, Kapoor M, Tcw J, et al. Integration of Alzheimer's disease genetics and myeloid genomics identifies disease risk regulatory elements and genes. Nat Commun. 2021;12(1):1610. Published 2021 Mar 12. doi:10.1038/s41467-021-21823-yen_US
dc.identifier.urihttps://hdl.handle.net/1805/29490
dc.language.isoen_USen_US
dc.publisherSpringer Natureen_US
dc.relation.isversionof10.1038/s41467-021-21823-yen_US
dc.relation.journalNature Communicationsen_US
dc.rightsAttribution 4.0 International*
dc.rights.urihttps://creativecommons.org/licenses/by/4.0*
dc.sourcePMCen_US
dc.subjectGenome informaticsen_US
dc.subjectFunctional genomicsen_US
dc.subjectAlzheimer's diseaseen_US
dc.subjectNeuroimmunologyen_US
dc.titleIntegration of Alzheimer’s disease genetics and myeloid genomics identifies disease risk regulatory elements and genesen_US
dc.typeArticleen_US
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