bioRxivNeurosciencePreprint
Cell type-specific associations with Alzheimer's Disease conserved across racial and ethnic groups
Tain LuqueziD, Jonathan Algoo, Rebecca ChiuiD, Jason A. MaresiD, Archana YadaviD, Matti LamiD, Pallavi GauriD, Xiaoying Lai, Dylan I. LeeiD, Fahad ParyaniiD, Rafe Batchelor, Irla Belli, Jordan Henry, Courteney MattisoniD, Luke StarriD, Philip L. De JageriD, Lisa Laverne BarnesiD, David X. MárqueziD, Ya ZhangiD, David A. BennettiD, Vilas MenoniD
Abstract
Genomic studies at single-cell resolution have implicated multiple cell types associated with clinical and pathological traits in Alzheimers Disease (AD), but have not examined common features across broad, multi-ethnic populations, and across multiple regions. To bridge this gap, we performed single-nucleus RNA-seq and ATAC-seq profiling of cortical and subcortical brain regions from post-mortem samples across Non-Latin White, African American, and Latin donors (the latter of any race). Using discrete and continuous dissection of molecular programs, we elucidate cell-type-specific glial and neuronal signatures associated with AD across multiple population groups. Notably, we found that multiple microglial (GPNMB+, CD74+, and CR1+ subgroups) and astrocyte (SERPINH1+ and WIF1+ subgroups) signatures are associated with worse clinical and pathological phenotypes across all three population groups. We also report continuous gene expression factors in oligodendrocytes that are not captured by discrete clusters, yet still show strong associations with disease phenotypes. Finally, we observe these discrete cellular identities and continuous gene programs separate cognitively impaired donors into 6 molecularly distinct subgroups that span racial and ethnic population groups. Overall, our study identifies key cell types and gene programs implicated in AD that are shared across population groups, and provides an initial data set that underscores how representative sampling can capture conserved signatures as well as disease heterogeneity, leading to better prioritization of key cell types for further investigation.
- organism: human
- assay: scRNA-seq
- assay: scATAC-seq
- research focus: differential expression
- research focus: cell type annotation
- research focus: gene regulatory network inference
- research focus: database / resource
- approach: statistical model
- approach: experimental assay
- Citations
- 3
Reproducibility ledger
Nobody has reported trying to reproduce this paper yet. Did you replicate an experiment or run the code? Your report saves the next lab a week.
Sign in to file a reproducibility report.
Related papers
- A single cell brain atlas in human Alzheimer’s disease
Alexandra Grubman, Gabriel Chew, … Jose Maria Polo·bioRxiv·May 14, 2019
- Multiregional single-cell profiling reveals shared and specialized cellular vulnerability in Alzheimer's disease
Kyle J. Travaglini, Mariano I. Gabitto, … Ed S. Lein·bioRxiv·Jul 2, 2026
- An Integrated Single-Nucleus Atlas Resolves Cell-Type-Specific Programs and Molecular Subtypes in Alzheimer's Disease
Negin Rahimzadeh, Samuel Morabito, … Vivek Swarup·bioRxiv·Sep 4, 2026
- Single-nucleus and spatial transcriptomic profiling of human temporal cortex and white matter reveals novel associations with AD pathology
Pallavi Gaur, Julien Bryois, … Vilas Menon·bioRxiv·Apr 23, 2024
- Single Cell Landscape of Sex-specific Drivers of Alzheimers Disease
Yiyang Wu, Kyle J. Travaglini, … Timothy J. Hohman·Alzheimer s & DementiaPeer-reviewed·Dec 1, 2025
- Integrated multimodal cell atlas of Alzheimer's disease
Mariano I. Gabitto, Kyle J. Travaglini, … Kimberly A. Smith·Nature NeurosciencePeer-reviewed·Oct 14, 2024