Expression quantitative trait locus studies in the era of single-cell omics

Area of Science:

• Genomics
• Molecular Biology
• Bioinformatics

Background:

• Genome-wide association studies link genetic variants to complex phenotypes through gene expression regulation.
• Bulk transcriptome analysis (eQTL mapping) advanced understanding but has limitations due to cell-type-specific gene expression.
• Single-cell RNA sequencing (scRNA-seq) enables cell-type-specific regulatory insights.

Purpose of the Study:

• To review the methodology and applications of single-cell eQTL (sc-eQTL) studies.
• To highlight the advantages and disadvantages of sc-eQTL analysis.
• To discuss the current and future impact of sc-eQTL discoveries on complex trait research.

Main Methods:

• Overview of sc-eQTL study design and data processing pipelines.
• Detailed explanation of sc-eQTL mapping procedures.
• Comparative analysis of bulk eQTL versus sc-eQTL approaches.

Main Results:

• sc-eQTL analysis identifies gene expression regulation at a single-cell resolution.
• Demonstrates cell-type-specific effects of genetic variants on gene expression.
• Highlights the power of sc-eQTLs in dissecting complex trait architectures.

Conclusions:

• sc-eQTL studies are crucial for understanding cell-type-specific gene regulation.
• These studies overcome limitations of bulk transcriptomics for complex trait genetics.
• Future applications promise deeper insights into disease mechanisms and therapeutic targets.