Optimizing expression quantitative trait locus mapping workflows for single-cell studies.

ABSTRACT:

Background

Single-cell RNA sequencing (scRNA-seq) has enabled the unbiased, high-throughput quantification of gene expression specific to cell types and states. With the cost of scRNA-seq decreasing and techniques for sample multiplexing improving, population-scale scRNA-seq, and thus single-cell expression quantitative trait locus (sc-eQTL) mapping, is increasingly feasible. Mapping of sc-eQTL provides additional resolution to study the regulatory role of common genetic variants on gene expression across a plethora of cell types and states and promises to improve our understanding of genetic regulation across tissues in both health and disease.

Results

While previously established methods for bulk eQTL mapping can, in principle, be applied to sc-eQTL mapping, there are a nu

SUBMITTER: Cuomo ASE 

PROVIDER: S-EPMC8223300 | biostudies-literature | 2021 Jun

REPOSITORIES: biostudies-literature