getMappedEntrezIDs from missmethyl package R

Hi,

I am using missMethyl package in R to analyse DNA methylation data on a complex disease. I have corrected batch effect using RUVm two step inverse function and now I am doing the enrichment. I am trying to annotate significant CpGs to the corresponding genes through the entrezID (getMappedEntrezIDs function). I wanted to know if there is a way of knowing the CpGs mapping to each entrezID out of the significant CpGs found which I have in a list (sigCpGs).

output <- getMappedEntrezIDs(sig.cpg = sigCpGs, all.cpg = all_CpGs, array.type = "EPIC", anno = annEPIC)

In the output one can find output$freq that gives a table output with numbers of probes associated with each gene, but I believe it gives the total number of probes (all_CpGs) associated. How would you do it to give the number and names of sigCpGs?

Thanks

r missmethyl cpg methylation gene

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written 1.8 years ago by Rut_MDLV •

1 answer

Dunno about missMethyl but if you just want to map your list of cgs to Entrez then here you go:

sigCpGs ## some random list of cpgs

library(IlluminaHumanMethylationEPICanno.ilm10b4.hg19)

## get the annotation 
sig.ann <- getAnnotation(IlluminaHumanMethylationEPICanno.ilm10b4.hg19)[sigCpGs, ]
## get the assocaited gene names, collapse them
sig.genes <- sig.ann$UCSC_RefGene_Name
sig.genes <- lapply(strsplit(sig.genes, split = ";"), unique)
sig.genes <- lapply(sig.genes, paste, collapse = ";")

## if gene name is missing, get the nearest gene 
library(FDb.InfiniumMethylation.hg19)
nearest.gene <- getNearestGene(probes = GRanges(seqnames = sig.ann$chr, 
                                                ranges = IRanges(start = sig.ann$pos, 
                                                                 end = sig.ann$pos, 
                                                                 names = sig.ann$Name)))

mapped.df <- data.frame("cg" = sigCpGs,
           "symbol" = unlist(sig.genes),
           "nearest.gene" = nearest.gene$nearestGeneSymbol,
           "nearest.gene.dist" = nearest.gene$distance,
           "island.relation" = sig.ann$Relation_to_Island)

library(org.Hs.eg.db)
library(AnnotationDbi)
## get entrez 
mapped.df$entrez <- mapIds(org.Hs.eg.db, keys = mapped.df$nearest.gene,
                    column = "ENTREZID", keytype = "SYMBOL")

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written 1.8 years ago by yura.grabovska •

How can it be that the output from mapping sigCpGs with

library(IlluminaHumanMethylationEPICanno.ilm10b4.hg19)

sig.ann <- getAnnotation(IlluminaHumanMethylationEPICanno.ilm10b4.hg19)[sigCpGs, ]
sig.genes <- sig.ann$UCSC_RefGene_Name

is different from

library(missMethyl)
library (biomaRt)

annEPIC <- getAnnotation(IlluminaHumanMethylationEPICanno.ilm10b4.hg19)
sig.entrez <- getMappedEntrezIDs(sig.cpg = sigCpGs, all.cpg = all_CpGs, array.type = "EPIC", anno = annEPIC)
sig.entrez <- sig.entrez$sig.eg

# Connect to Ensembl
ensembl <- useEnsembl(biomart = "genes", dataset = "hsapiens_gene_ensembl")

gene_info <- getBM(attributes = c("entrezgene_id", "external_gene_name", "description"),
                                filters = "entrezgene_id",
                                values = sig.entrez,
                                mart = ensembl)

They seem to be using the same reference library to annotate genes, so what could be the reason?

Maybe biomaRt uses another library?

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written 1.8 years ago by Rut_MDLV •