Article

Inferring relevant cell types for complex traits using single-cell gene expression

2017-05-10

Abstract excerpt

Previous studies have prioritized trait-relevant cell types by looking for an enrichment of GWAS signal within functional regions. However, these studies are limited in cell resolution by the lack of functional annotations from difficult-to-characterize or rare cell populations. Measurement of single-cell gene expression has become a popular method for characterizing novel cell types, and yet, hardly any work exis...

Topics

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

Identifiers and source

Literature Corpus work: 0566ac1c-6179-5780-bbd1-0ba76bed9957
DOI: 10.1101/136283

Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest

Inferring relevant cell types for complex traits using single-cell gene expressionDOI 10.1101/136283Read

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

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

sc2GWAS: a comprehensive platform linking single cell and GWAS traits of human.Semantic proximity Read

Disentangling associations between complex traits and cell types with <i>seismic</i>Semantic proximity Read

Identification of cell types associated with 14 brain phenotypes from more than 10 million single cellsSemantic proximity Read

Polygenic regression uncovers trait-relevant cellular contexts through pathway activation transformation of single-cell RNA sequencing dataSemantic proximity Read

Polygenic enrichment distinguishes disease associations of individual cells in single-cell RNA-seq dataSemantic proximity Read

Polygenic enrichment distinguishes disease associations of individual cells in single-cell RNA-seq dataSemantic proximity Read

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

Conditional polygenic enrichment distinguishes causal from tagging disease-critical cell populations in single-cell RNA-seqSemantic proximity Read

Mapping the landscape of lineage-specific dynamic regulation of gene expression using single-cell transcriptomics and application to genetics of complex diseaseSemantic proximity Read

Identifying disease-critical cell types and cellular processes across the human body by integration of single-cell profiles and human geneticsSemantic proximity Read