Single-cell RNA sequencing data reveals rewiring of transcriptional relationships in Alzheimer's Disease associated with risk variants.
medRxiv
; 2023 May 16.
Article
in En
| MEDLINE
| ID: mdl-37292975
ABSTRACT
Understanding how genetic risk variants contribute to Alzheimer's Disease etiology remains a challenge. Single-cell RNA sequencing (scRNAseq) allows for the investigation of cell type specific effects of genomic risk loci on gene expression. Using seven scRNAseq datasets totalling >1.3 million cells, we investigated differential correlation of genes between healthy individuals and individuals diagnosed with Alzheimer's Disease. Using the number of differential correlations of a gene to estimate its involvement and potential impact, we present a prioritization scheme for identifying probable causal genes near genomic risk loci. Besides prioritizing genes, our approach pin-points specific cell types and provides insight into the rewiring of gene-gene relationships associated with Alzheimer's.
Full text:
1
Collection:
01-internacional
Database:
MEDLINE
Type of study:
Etiology_studies
/
Risk_factors_studies
Language:
En
Journal:
MedRxiv
Year:
2023
Document type:
Article
Affiliation country:
Netherlands