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

ABSTRACT:

Background

Changes in cell-type composition of tissues are associated with a wide range of diseases and environmental risk factors and may be causally implicated in disease development and progression. However, these shifts in cell-type fractions are often of a low magnitude, or involve similar cell subtypes, making their reliable identification challenging. DNA methylation profiling in a tissue like blood is a promising approach to discover shifts in cell-type abundance, yet studies have only been performed at a relatively low cellular resolution and in isolation, limiting their power to detect shifts in tissue composition.

Methods

Here we derive a DNA methylation reference matrix for 12 immune-cell types in human blood and extensively validate it with flow-cytometric count

SUBMITTER: Luo Q 

PROVIDER: S-EPMC10388560 | biostudies-literature | 2023 Jul

REPOSITORIES: biostudies-literature