Single-cell RNA sequencing identifies celltype-specific cis-eQTLs and co-expression QTLs

Area of Science:

• Genomics
• Molecular Biology
• Immunology

Background:

• Genome-wide association studies (GWAS) identify genetic variants linked to diseases.
• Expression quantitative trait loci (eQTLs) reveal how genetic variants affect gene expression.
• eQTLs are often celltype-specific, requiring high-resolution analysis.

Purpose of the Study:

• To identify celltype-specific expression quantitative trait loci (eQTLs) using an unbiased single-cell approach.
• To discover genetic variants that alter gene co-expression networks.

Main Methods:

• Single-cell RNA sequencing of ~25,000 peripheral blood mononuclear cells from 45 donors.
• Identification of known and novel cis-eQTLs.
• Generation of personalized co-expression networks and identification of co-expression QTLs.

Main Results:

• Successfully identified previously reported cis-eQTLs.
• Discovered novel celltype-specific cis-eQTLs.
• Identified genetic variants significantly altering co-expression relationships (co-expression QTLs).

Conclusions:

• Single-cell eQTL analysis is effective for identifying celltype-specific regulatory variants.
• This approach reveals genetic variants impacting gene regulatory networks.
• Findings advance understanding of genetic contributions to disease through regulatory mechanisms.