The Power of Single-Cell RNA Sequencing in eQTL Discovery.
Maleeha MariaNegar PouyanfarTiit ÖrdMinna U KaikkonenPublished in: Genes (2022)
Genome-wide association studies have successfully mapped thousands of loci associated with complex traits. During the last decade, functional genomics approaches combining genotype information with bulk RNA-sequencing data have identified genes regulated by GWAS loci through expression quantitative trait locus (eQTL) analysis. Single-cell RNA-Sequencing (scRNA-Seq) technologies have created new exciting opportunities for spatiotemporal assessment of changes in gene expression at the single-cell level in complex and inherited conditions. A growing number of studies have demonstrated the power of scRNA-Seq in eQTL mapping across different cell types, developmental stages and stimuli that could be obscured when using bulk RNA-Seq methods. In this review, we outline the methodological principles, advantages, limitations and the future experimental and analytical considerations of single-cell eQTL studies. We look forward to the explosion of single-cell eQTL studies applied to large-scale population genetics to take us one step closer to understanding the molecular mechanisms of disease.
Keyphrases
- single cell
- rna seq
- genome wide
- high throughput
- genome wide association
- gene expression
- case control
- dna methylation
- genome wide association study
- poor prognosis
- high resolution
- small molecule
- healthcare
- stem cells
- long non coding rna
- bone marrow
- high density
- mass spectrometry
- current status
- artificial intelligence
- big data
- transcription factor
- deep learning
- data analysis