Article

Cell-type-specific resolution epigenetics without the need for cell sorting or single-cell biology

2018-10-07

Abstract excerpt

High costs and technical limitations of cell sorting and single-cell techniques currently restrict the collection of large-scale, cell-type-specific DNA methylation data. This, in turn, impedes our ability to tackle key biological questions that pertain to variation within a population, such as identification of disease-associated genes at a cell-type-specific resolution. Here, we show mathematically and empirical...

Topics

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

Identifiers and source

Literature Corpus work: 8184c078-1300-5e8b-ab3f-95f4b0fe5c1a
DOI: 10.1101/437368

Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest

Cell-type-specific resolution epigenetics without the need for cell sorting or single-cell biologyDOI 10.1101/437368Read

Guidance for the design and analysis of cell-type specific epigenetic epidemiology studiesSemantic proximity Read

A meta-analysis of immune cell fractions at high resolution reveals novel associations with common phenotypes and health outcomesSemantic proximity Read

Identifying systematic variation at the single-cell level by leveraging low-resolution population-level dataSemantic proximity Read

A meta-analysis of immune-cell fractions at high resolution reveals novel associations with common phenotypes and health outcomes.Semantic proximity Read

scMD: cell type deconvolution using single-cell DNA methylation referencesSemantic proximity Read

Identifying genetic variants that influence the abundance of cell states in single-cell dataSemantic proximity Read

Accounting for cellular heterogeneity is critical in epigenome-wide association studies.Semantic proximity Read

Mapping the landscape of cell type-dependent genetic regulation of DNA methylation across human tissuesSemantic proximity Read

S-MiXcan: Inferring Cell-Type-Level Transcriptome-Wide Associations from Bulk Transcriptomics Using GWAS Summary StatisticsSemantic proximity Read

Identifying genetic regulations on immune cell type proportions and their impacts on autoimmune diseasesSemantic proximity Read

Accurate prediction of cell composition, age, smoking consumption and infection serostatus based on blood DNA methylation profilesSemantic proximity Read

Deconvolution of bulk blood eQTL effects into immune cell subpopulationsSemantic proximity Read