Single-cell RNA sequencing data reveals rewiring of transcriptional relationships in Alzheimer's Disease associated with risk variants
Bouland, G. A.; Marinus, K. I.; van Kesteren, R. E.; Smit, A. B.; Mahfouz, A.; Reinders, M. J. T.
Show abstract
Understanding how genetic risk variants contribute to Alzheimers 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 Alzheimers 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 Alzheimers.
Matching journals
The top 8 journals account for 50% of the predicted probability mass.
Similar papers in this journal
- A public resource of single cell transcriptomes and multiscale networks from persons with and without Alzheimer's disease 98%
- Molecular Signatures of Resilience to Alzheimer's Disease in Neocortical Layer 4 Neurons 97%
- Deep clinical phenotyping of Alzheimer’s Disease Patients Leveraging Electronic Medical Records Data Identifies Sex-Specific Clinical Associations 97%
Similar papers in this journal
- Manifestations of genetic risk for Alzheimer's Disease in the blood: a cross-sectional multi-omic analysis in healthy adults aged 18-90+ 96%
- Novel Alzheimer's disease genes and epistasis identified using machine learning GWAS platform 94%
- Genome-Wide Association Study of Brain Connectivity Changes for Alzheimer's Disease 94%
Similar papers in this journal
- Multi-Tissue Neocortical Transcriptome-Wide Associations Study Implicates 8 Genes Across 6 Genomic Loci in Alzheimer's Disease 95%
- Identification and drug-induced reversion of molecular signatures of Alzheimers disease onset and progression in AppNL-G-F, AppNL-F and 3xTg-AD mouse models 95%
- A proteomics analysis of 5xFAD mouse brain regions reveals the lysosome-associated protein Arl8b as a candidate biomarker for Alzheimer's disease 94%
Similar papers in this journal
- Cross-species comparative hippocampal transcriptomics in Alzheimer's disease 95%
- An Alzheimer's disease-associated common regulatory variant in a PTK2B intron alters microglial function 95%
- Multimodal single-cell profiling reveals neuronal vulnerability and pathological cell states in focal cortical dysplasia 94%