Converting mouse to human gene names with biomaRt package

Converting mouse gene names to the human equivalent and vice versa is not always as straightforward as it seems, so I wrote a function to simplify the task. The function takes advantage of the getLDS() function from the biomaRt to get the hgnc symbol equivalent from the mgi symbol.

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Converting mouse gene names to the human equivalent and vice versa is not always as straightforward as it seems, so I wrote a function to simplify the task. The function takes advantage of the getLDS() function from the biomaRt to get the hgnc symbol equivalent from the mgi symbol. For example, let’s convert the following mouse gene symbols, Hmmr, Tlx3, and Cpeb4, to their human equivalent.

musGenes <- c("Hmmr", "Tlx3", "Cpeb4")

# Basic function to convert mouse to human gene names
convertMouseGeneList <- function(x){

require("biomaRt")
human = useMart("ensembl", dataset = "hsapiens_gene_ensembl")
mouse = useMart("ensembl", dataset = "mmusculus_gene_ensembl")

genesV2 = getLDS(attributes = c("mgi_symbol"), filters = "mgi_symbol", values = x , mart = mouse, attributesL = c("hgnc_symbol"), martL = human, uniqueRows=T)
humanx <- unique(genesV2[, 2])

# Print the first 6 genes found to the screen
print(head(humanx))
return(humanx)
}

We can just as easily write a function to go from human to mouse genes.

# Basic function to convert human to mouse gene names
convertHumanGeneList <- function(x){

require("biomaRt")
human = useMart("ensembl", dataset = "hsapiens_gene_ensembl")
mouse = useMart("ensembl", dataset = "mmusculus_gene_ensembl")

genesV2 = getLDS(attributes = c("hgnc_symbol"), filters = "hgnc_symbol", values = x , mart = human, attributesL = c("mgi_symbol"), martL = mouse, uniqueRows=T)

humanx <- unique(genesV2[, 2])

# Print the first 6 genes found to the screen
print(head(humanx))
return(humanx)
}

genes <- convertHumanGeneList(humGenes) 

If you have any other suggestions on how to convert mouse to human gene names in R, I would love to hear them just email me at info@rjbioinformatics.com.

Author: radiaj

I am a Research Scientist & Bioinformatician who specializes in Immunology and Cancer Biology. I routinely use R and other programing languages to explore genomic data of cancer cells to identify molecular changes and risk factors that contributes to cancer development.

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