Sex dependent glial-specific changes in the chromatin accessibility landscape in late-onset Alzheimer's disease brains

In the post-GWAS era, there is an unmet need to decode the underpinning genetic etiologies of late-onset Alzheimer's disease (LOAD) and translate the associations to causation. We conducted ATAC-seq profiling using NeuN sorted-nuclei from 40 frozen brain tissues to determine LOAD-specific chang...

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Veröffentlicht in:Molecular neurodegeneration 2021-08, Vol.16 (1), p.58-58, Article 58
Hauptverfasser: Barrera, Julio, Song, Lingyun, Gamache, Julia E, Garrett, Melanie E, Safi, Alexias, Yun, Young, Premasinghe, Ivana, Sprague, Daniel, Chipman, Danielle, Li, Jeffrey, Fradin, Hélène, Soldano, Karen, Gordân, Raluca, Ashley-Koch, Allison E, Crawford, Gregory E, Chiba-Falek, Ornit
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Sprache:eng
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Zusammenfassung:In the post-GWAS era, there is an unmet need to decode the underpinning genetic etiologies of late-onset Alzheimer's disease (LOAD) and translate the associations to causation. We conducted ATAC-seq profiling using NeuN sorted-nuclei from 40 frozen brain tissues to determine LOAD-specific changes in chromatin accessibility landscape in a cell-type specific manner. We identified 211 LOAD-specific differential chromatin accessibility sites in neuronal-nuclei, four of which overlapped with LOAD-GWAS regions (±100 kb of SNP). While the non-neuronal nuclei did not show LOAD-specific differences, stratification by sex identified 842 LOAD-specific chromatin accessibility sites in females. Seven of these sex-dependent sites in the non-neuronal samples overlapped LOAD-GWAS regions including APOE. LOAD loci were functionally validated using single-nuclei RNA-seq datasets. Using brain sorted-nuclei enabled the identification of sex-dependent cell type-specific LOAD alterations in chromatin structure. These findings enhance the interpretation of LOAD-GWAS discoveries, provide potential pathomechanisms, and suggest novel LOAD-loci.
ISSN:1750-1326
1750-1326
DOI:10.1186/s13024-021-00481-0