MAGAR
MAGAR (Methylation-Aware Genotype Association in R) is an R/Bioconductor package for identifying methylation quantitative trait loci (methQTLs) from matched DNA methylation and genotyping data. It uses a linear modelling strategy to detect CpG–SNP associations and accounts for the local correlation structure of CpGs. MAGAR supports joint analysis of genetic variation and DNA methylation to investigate regulatory relationships in epigenomics datasets.
Key benefits
Identifies methQTLs from matched genotype and DNA methylation data
Uses linear modelling for CpG–SNP association analysis
Accounts for local correlation structures in DNA methylation data
Supports identification of correlation blocks in methylation profiles
Integrates into R and Bioconductor-based epigenomics workflows
Applications
Joint analysis of genotyping and DNA methylation data
Detection of methylation quantitative trait loci
Identification of CpG–SNP associations
Exploration of genetic effects on DNA methylation patterns
Epigenomics studies linking genetic variation to regulatory variation
Intended use
MAGAR is intended for epigenomics researchers, bioinformaticians, statistical geneticists, and computational biologists working with matched genotyping and DNA methylation datasets. It is particularly suited for users who want to identify methQTLs and analyse how genetic variation is associated with DNA methylation changes.
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