Identification of tissue-specific and common methylation quantitative trait loci in healthy individuals using MAGAR.

ABSTRACT:

Background

Understanding the influence of genetic variants on DNA methylation is fundamental for the interpretation of epigenomic data in the context of disease. There is a need for systematic approaches not only for determining methylation quantitative trait loci (methQTL), but also for discriminating general from cell type-specific effects.

Results

Here, we present a two-step computational framework MAGAR ( https://bioconductor.org/packages/MAGAR ), which fully supports the identification of methQTLs from matched genotyping and DNA methylation data, and additionally allows for illuminating cell type-specific methQTL effects. In a pilot analysis, we apply MAGAR on data in four tissues (ileum, rectum, T cells, B cells) from healthy individuals and demonstrate the discriminat

SUBMITTER: Scherer M 

PROVIDER: S-EPMC8444396 | biostudies-literature | 2021 Sep

REPOSITORIES: biostudies-literature