Process / pipelineBioinformatics / omics

Single-cell eQTL Analysis — Cell-type-specific Genetic Regulation of Gene Expression

Single-cell eQTL analysis identifies genetic variants (eQTLs) that regulate gene expression in a cell-type-specific manner by jointly analysing single-cell RNA-seq profiles and donor genotype data. Unlike bulk eQTL methods, it resolves regulatory effects that are diluted or masked when cell types are mixed, enabling discovery of variants whose effects are confined to particular cell states or developmental stages.

Open in MethodMindSoonVideoSoon

Read the full method

Members only

Sign in with a free account to read this section.

Sign in

Sources

  1. Cuomo, A. S. E., et al. (2020). Single-cell RNA-sequencing of differentiating iPS cells reveals dynamic genetic effects on gene expression. Nature Communications, 11(1), 810. link
  2. Kim-Hellmuth, S., et al. (2020). Cell type–specific genetic regulation of gene expression across human tissues. Science, 369(6509), eaaz8528. link

Related methods

Referenced by

ScholarGateSingle-cell eQTL analysis (Single-cell Expression Quantitative Trait Loci Analysis). Retrieved 2026-06-04 from https://scholargate.app/en/bioinformatics/single-cell-eqtl-analysis