Transcriptomics

Dataset Information

0

Single-cell eQTL mapping identifies cell type specific genetic control of autoimmune disease [scRNAseq_data]


ABSTRACT: The human immune system displays remarkable variation between individuals, leading to differences in susceptibility to autoimmune disease. We present single cell RNA sequence data from 1,267,768 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-eQTL, with the majority showing cell type specific effects on gene expression. We subsequently show how eQTLs have dynamic allelic effects in B cells transitioning from naïve to memory states and demonstrate how commonly segregating alleles lead to inter-individual variation in immune function. Finally, utilizing 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 inter-individual variation in the immune system.

ORGANISM(S): Homo sapiens

PROVIDER: GSE196735 | GEO | 2022/04/08

REPOSITORIES: GEO

Dataset's files

Source:
Action DRS
Other
Items per page:
1 - 1 of 1

Similar Datasets

2022-04-08 | GSE196829 | GEO
2011-12-06 | E-GEOD-34151 | biostudies-arrayexpress
2011-12-30 | E-GEOD-34588 | biostudies-arrayexpress
2020-05-29 | GSE151397 | GEO
2014-12-19 | PXD001406 | Pride
2011-12-30 | GSE34588 | GEO
2011-12-06 | GSE34151 | GEO
2011-06-09 | GSE24610 | GEO
2015-03-31 | GSE67427 | GEO
2008-01-24 | E-TABM-214 | biostudies-arrayexpress