ReviewGenes2022
The Power of Single-Cell RNA Sequencing in eQTL Discovery.
Review in Genes, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
20 citing papers in PubMed, 22 citations in OpenAlex.
- Multi-omics-driven precision medicine.iMeta · 2026Review
- Identifying Single-Cell Expression Quantitative Trait Loci Using a Bootstrap Penalized Hurdle Model.Genes · 2026Article
- Article
- A novel machine learning-based algorithm for eQTL identification reveals complex pleiotropic effects in the MHC region.Briefings in bioinformatics · 2026Article
- eQTL analysis: A bridge from genome to mechanism.Genes & diseases · 2026Review
- scDesignPop generates realistic population-scale single-cell RNA-seq for power analysis, benchmarking, and privacy protection.bioRxiv : the preprint server for biology · 2026Article
- Immune Cell-specific Genetic Regulation in Graves' Disease: An Integrative Mendelian Randomization Study.Endocrine, metabolic & immune disorders drug targets · 2026Article
- distQTL: distribution quantitative trait loci identification by population-scale single-cell data.NAR genomics and bioinformatics · 2025Article
- distQTL: Distribution Quantitative Trait Loci Identification by Population-Scale Single-Cell Data.bioRxiv : the preprint server for biology · 2025Article
- Functional Role of Single-Nucleotide Polymorphisms on IFNG and IFNGR1 in Humans with Cardiovascular Disease.International journal of molecular sciences · 2025Article
- Multi-omics analysis for identifying cell-type-specific and bulk-level druggable targets in Alzheimer's disease.Journal of translational medicine · 2025Article
- scQTLtools: An R/Bioconductor Package for Comprehensive Identification and Visualization of Single-Cell eQTLs.Biology · 2025Article
- Benchmark of cellular deconvolution methods using a multi-assay dataset from postmortem human prefrontal cortex.Genome biology · 2025Article
- High resolution tissue and cell type identification via single cell transcriptomic profiling.PloS one · 2025Article
- Single-cell genomics and regulatory networks for 388 human brains.Science (New York, N.Y.) · 2024Article
- Evaluating performance and applications of sample-wise cell deconvolution methods on human brain transcriptomic data.Science advances · 2024Article
- Single-cell genomics and regulatory networks for 388 human brains.bioRxiv : the preprint server for biology · 2024Article
- Single cell genomics as a transformative approach for aquaculture research and innovation.Reviews in aquaculture · 2023Review
- Evaluating performance and applications of sample-wise cell deconvolution methods on human brain transcriptomic data.bioRxiv : the preprint server for biology · 2023Article
- Multi-omic single cell sequencing: Overview and opportunities for kidney disease therapeutic development.Frontiers in molecular biosciences · 2023Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
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.
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What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.