[HTML][HTML] Identification of genetic variants that impact gene co-expression relationships using large-scale single-cell data
Background Expression quantitative trait loci (eQTL) studies show how genetic variants
affect downstream gene expression. Single-cell data allows reconstruction of personalized …
affect downstream gene expression. Single-cell data allows reconstruction of personalized …
Single-cell RNA sequencing identifies celltype-specific cis-eQTLs and co-expression QTLs
Genome-wide association studies have identified thousands of genetic variants that are
associated with disease. Most of these variants have small effect sizes, but their downstream …
associated with disease. Most of these variants have small effect sizes, but their downstream …
[HTML][HTML] The power of single-cell RNA sequencing in eQTL discovery
Genome-wide association studies have successfully mapped thousands of loci associated
with complex traits. During the last decade, functional genomics approaches combining …
with complex traits. During the last decade, functional genomics approaches combining …
[HTML][HTML] Profiling RNA-Seq at multiple resolutions markedly increases the number of causal eQTLs in autoimmune disease
CA Odhams, DS Cunninghame Graham, TJ Vyse - PLoS Genetics, 2017 - journals.plos.org
Genome-wide association studies have identified hundreds of risk loci for autoimmune
disease, yet only a minority (~ 25%) share genetic effects with changes to gene expression …
disease, yet only a minority (~ 25%) share genetic effects with changes to gene expression …
[HTML][HTML] Optimizing expression quantitative trait locus mapping workflows for single-cell studies
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 …
throughput quantification of gene expression specific to cell types and states. With the cost of …
[HTML][HTML] scGWAS: landscape of trait-cell type associations by integrating single-cell transcriptomics-wide and genome-wide association studies
Background The rapid accumulation of single-cell RNA sequencing (scRNA-seq) data
presents unique opportunities to decode the genetically mediated cell-type specificity in …
presents unique opportunities to decode the genetically mediated cell-type specificity in …
[HTML][HTML] SURGE: uncovering context-specific genetic-regulation of gene expression from single-cell RNA sequencing using latent-factor models
Genetic regulation of gene expression is a complex process, with genetic effects known to
vary across cellular contexts such as cell types and environmental conditions. We …
vary across cellular contexts such as cell types and environmental conditions. We …
Large-scale cis- and trans-eQTL analyses identify thousands of genetic loci and polygenic scores that regulate blood gene expression
Trait-associated genetic variants affect complex phenotypes primarily via regulatory
mechanisms on the transcriptome. To investigate the genetics of gene expression, we …
mechanisms on the transcriptome. To investigate the genetics of gene expression, we …
The single-cell eQTLGen consortium
In recent years, functional genomics approaches combining genetic information with bulk
RNA-sequencing data have identified the downstream expression effects of disease …
RNA-sequencing data have identified the downstream expression effects of disease …
[HTML][HTML] Targeted genomic analysis reveals widespread autoimmune disease association with regulatory variants in the TNF superfamily cytokine signalling network
Background Tumour necrosis factor (TNF) superfamily cytokines and their receptors regulate
diverse immune system functions through a common set of signalling pathways. Genetic …
diverse immune system functions through a common set of signalling pathways. Genetic …