Article

A unified framework for cell-type-specific eQTLs prioritization by integrating bulk and scRNA-seq data

2024-05-27

Abstract excerpt

Genome-wide association studies (GWASs) have identified numerous genetic variants associated with complex traits, yet the biological interpretation remains challenging, especially for variants in non-coding regions. Expression quantitative trait loci (eQTLs) studies have linked these variations to gene expression, aiding in identifying genes involved in disease mechanisms. Traditional eQTL analyses using bulk RNA...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work: d99b543f-452f-5a54-86ed-759f37fa8045
DOI: 10.1101/2024.05.27.24307972

Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest

A unified framework for cell-type-specific eQTLs prioritization by integrating bulk and scRNA-seq dataDOI 10.1101/2024.05.27.24307972Read

A unified framework for cell-type-specific eQTL prioritization by integrating bulk and scRNA-seq data.Semantic proximity Read

Bayesian estimation of cell-type-specific gene expression per bulk sample with prior derived from single-cell dataSemantic proximity Read

EPIC: inferring relevant cell types for complex traits by integrating genome-wide association studies and single-cell RNA sequencingSemantic proximity Read

The single-cell eQTLGen consortium.Semantic proximity Read

EPIC: Inferring relevant cell types for complex traits by integrating genome-wide association studies and single-cell RNA sequencing.Semantic proximity Read

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

traceCB: Trans-ancestry cell-type-specific eQTLs mapping by integrating scRNA-seq and bulk dataSemantic proximity Read

powerEQTL: An R package and shiny application for sample size and power calculation of bulk tissue and single-cell eQTL analysisSemantic proximity Read

DPCGS: a computational framework for linking GWAS to single-cell transcriptomics in complex traits and diseasesSemantic proximity Read

Integrating single cell expression quantitative trait loci summary statistics to understand complex trait risk genes.Semantic proximity Read

Optimising expression quantitative trait locus mapping workflows for single-cell studiesSemantic proximity Read

Leveraging cell-type specificity and similarity improves single-cell eQTL fine-mapping.Semantic proximity Read