EwAS: quality control, meta-analysIs and EnRichment
The EASIER package performs epigenetic wide-association study (EWAS) downstream analysis:
- Quality control of EWAS results
- Folders: input and ouput
- Configuration: array type, sample, ethnic, exclusion CpGs criteria
- CpG filtering selection -> list of CpGs filtered and reason
- QC with summaries -> summary SE, Beta, lambda, significatives…
- QC with plots -> QQplot, Distribution plot, precision plot, …
- CpG annotation and adjustment -> QCed EWAS results file
- Meta-analysis of EWAS results (using GWAMA)
- Folders: input and output
- Link to GWAMA
- Format QCed EWAS results file
- Run GWAMA -> EWAS meta-analysis results file
- Meta-analysis with summaries
- Meta-analysis with plots -> Heterogeneity plot, distribution plots, QQ-plots, Volcano plots, Manhattan plots andForest plots,
- Functional enrichment (pathway and molecular enrichments)
- GO and KEGG and MolSig
- Pathways with Molecular Signatures Database (MSigDB)
- ConsensusPath Data Base
- Gene relative position
- CpG island relative position
- Specific for Blood :
- 15 ROADMAP chromatine states
- eQTM enrichment with data from Helix : Identification of blood autosomal cis-expression quantitative trait methylation (cis-eQTMs) in children
- Specific for Placenta :
- ROADMAP chromatine states Fetal Placenta 15 and 18
- Partially methylated domains (PMDs)
- Impreinted regions
Install in R as :
# Install devtools
install.packages("devtools")
library(devtools)
# Install required packages
devtools::source_url("https://raw.githubusercontent.com/isglobal-brge/EASIER/HEAD/installer.R")
# Install EASIER R package
devtools::install_github("isglobal-brge/EASIER@HEAD")