2022
DOI: 10.1038/s41588-022-01149-1
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Genetics of the human microglia regulome refines Alzheimer’s disease risk loci

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Cited by 61 publications
(75 citation statements)
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“…In addition to risk gene identification by GWAS, the integration of a multi-omic dataset allows fine mapping of AD risk loci. For instance, examining the population-level variation of gene expression and incorporating chromatin accessibility could verify previously implicated AD risk genes and identify putative AD genes for loci harboring multiple candidate genes (e.g., MS4A4E in the MS4A gene cluster) [ 188 ]. Such approaches could provide support for the microglial PU.1 transcription factor that has previously been associated with increased AD risk [ 189 , 190 ].…”
Section: Microglial Activation In Admentioning
confidence: 99%
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“…In addition to risk gene identification by GWAS, the integration of a multi-omic dataset allows fine mapping of AD risk loci. For instance, examining the population-level variation of gene expression and incorporating chromatin accessibility could verify previously implicated AD risk genes and identify putative AD genes for loci harboring multiple candidate genes (e.g., MS4A4E in the MS4A gene cluster) [ 188 ]. Such approaches could provide support for the microglial PU.1 transcription factor that has previously been associated with increased AD risk [ 189 , 190 ].…”
Section: Microglial Activation In Admentioning
confidence: 99%
“…Such approaches could provide support for the microglial PU.1 transcription factor that has previously been associated with increased AD risk [ 189 , 190 ]. The PU.1 downstream target genes have a predominantly immune function, in particular, the contributions of myeloid-/leukocyte-related processes were strongly highlighted [ 188 ]. This resource for human microglia-specific regulation of transcription provides further evidence for the critical role of microglia in AD.…”
Section: Microglial Activation In Admentioning
confidence: 99%
“…Several independent studies have recently reported a significant association of the LOAD-susceptibility PICALM risk variants (rs10792832 and rs3851179 that are in full LD) on the decreased expression in microglial cells [ 90 , 91 ]. It should be highly informative to create AD models in which microglial PICALM expression is modulated in order to unravel the effect of reduced or increased PICALM expression in microglia.…”
Section: Discussionmentioning
confidence: 99%
“…Analyses on expression quantitative trait loci (eQTL) suggest that there may be a cell-type specific effect of the PICALM variant, notably in microglia. Several recent PICALM eQTL analyses have consistently suggested that there is a significant colocalization between AD GWAS signals and PICALM eQTL in microglia [ 90 , 91 , 92 , 93 ]. PICALM rs10792832 (in almost full LD with rs3851179) is located in an open chromatin region (OCR), and the non-protective variant was associated with both lower OCR signal and gene expression by regulating chromatin accessibility [ 91 ].…”
Section: Picalm and Alzheimer’s Disease Pathologymentioning
confidence: 99%
“…This, as well as previous studies, brought forward the idea that the balance of ubiquitinylation leading to protein degradation may be disrupted in AD and PD leading to protein accumulation. At the same time, Genome Wide Association Studies (GWAS) implicate numerous innate immune genes as risk factors for late onset AD in a glial transcriptional network (Kosoy et al, 2022;Matarin et al, 2015;Salih et al, 2019;Sims et al, 2017). This suggests that genetic differences (as defined by GWAS) in the response to the normal age-dependent increase in inflammatory activity may lead to late onset AD (Fulop et al, 2021 for review).…”
Section: Discussionmentioning
confidence: 99%