Single-cell eQTL mapping identifies cell type–specific genetic control of autoimmune disease

Basic information
Cell
1,248,980
Sample
981

Technology
10X Genomics
Omics
scRNA-seq,scATAC-seq
Source
PBMCs

Dataset ID
35389779
Platform
Illumina NovaSeq 2000,6000
Species
Human
Disease
Healthy
Age range
19 - 97
Update date
2022-04-08
Summary

The human immune system displays substantial variation between individuals, leading to differences in susceptibility to autoimmune disease. We present single-cell RNA sequencing (scRNA-seq) data from 1,267,758 peripheral blood mononuclear cells from 982 healthy human subjects. For 14 cell types, we identified 26,597 independent cis-expression quantitative trait loci (eQTLs) and 990 trans-eQTLs, with most showing cell type-specific effects on gene expression. We subsequently show how eQTLs have dynamic allelic effects in B cells that are transitioning from naïve to memory states and demonstrate how commonly segregating alleles lead to interindividual variation in immune function. Finally, using a Mendelian randomization approach, we identify the causal route by which 305 risk loci contribute to autoimmune disease at the cellular level. This work brings together genetic epidemiology with scRNA-seq to uncover drivers of interindividual variation in the immune system.

Overall design

Human PBMC mRNA profiles at single cell resolution

Contributors

To be supplemented.

Contact

To be supplemented.

snRNA-Seq
Sample nameSample titleDiseaseGenderAgeSourceTreatmentTechnologyPlatformOmicsSample IDDataset IDAction
No data available