Mapping Ensembl IDs to Entrez - Merge data frames
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6.3 years ago
rin ▴ 40

Hi everyone

I am working on a gene expression data set from TCGA, where genes are annotated with Ensembl IDs. I used Biomart to convert them to Entrez by using

mart <- useDataset("hsapiens_gene_ensembl", useMart("ensembl"))

genes <- getBM(
  filters="ensembl_gene_id_version",
  attributes=c("ensembl_gene_id", "entrezgene"),
  values=genesens,
  mart=mart)

But all I get is a list with the mapped IDs, while I want to add a column with Entrez to the corresponding Ensembl ID. Any ideas of how I should modify the above code?

Thank you in advance!

EDIT: Note that Ensembl in the initial data frame have dot suffix.

biomart RNA-Seq • 9.1k views
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It sounds like you need to perform a merge with genes and your expression matrix. If the TCGA does not have a version number then you can remove it with gsub("\\.\\d+","", genes$ensembl_gene_id)

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rina : You should take a look at @Mike Smith's answer here: A: Mapping Ensembl Gene IDs with dot suffix

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some example data from genesens object would help @ rina

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You are right.

Here are some ENSG00000000003.13 ENSG00000000005.5 ENSG00000000419.11 ENSG00000000457.12

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with example ids and OP code, following is the result:

> genes
  ensembl_gene_id entrezgene
1 ENSG00000000005      64102

Output ensembl gene IDs have no suffix. If you would like to merge the data frames (data data frame and results data frame) , you can merge them by ensembl_gene_id. If you could post few lines from dataframe and results (with few matching rows), that would be helpful.

If you want to add, gene symbol at the end, add 'hgnc_symbol' to the attribultes list.

> genes
  ensembl_gene_id entrezgene hgnc_symbol
1 ENSG00000000005      64102        TNMD
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Data frameĀ“s first column has Ensembl IDs such as the following. Rest of the columns are raw counts of expression data

 [1] "ENSG00000000005.5"  "ENSG00000000419.11" "ENSG00000000457.12" "ENSG00000000460.15" "ENSG00000000938.11" "ENSG00000000971.14" "ENSG00000001036.12" "ENSG00000001084.9" 
[9] "ENSG00000001167.13"

The results I get after the mapping look like this.

ensembl_gene_id entrezgene
1 ENSG00000000005      64102
2 ENSG00000001561      22875
3 ENSG00000004478       2288
4 ENSG00000004799       5166
5 ENSG00000005022        292
6 ENSG00000005073       3207
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Well, there are ways to join the data frames using fuzzy logic or with some hacks. with some hacks (easy way): (note: genes is the list of ensembl example genes posted above and genesens is result from biomart)

> head(genes,3)
                  V1
1  ENSG00000000005.5
2 ENSG00000000419.11
3 ENSG00000000457.12
>library(stringr)
>genes$V2=str_split_fixed(genes$V1,"\\.",2)[,1]
>dplyr::left_join(genes, genesens, by=c("V2"="ensembl_gene_id"))
                  V1              V2 entrezgene
1  ENSG00000000005.5 ENSG00000000005      64102
2 ENSG00000000419.11 ENSG00000000419         NA
3 ENSG00000000457.12 ENSG00000000457         NA
4 ENSG00000000460.15 ENSG00000000460         NA
5 ENSG00000000938.11 ENSG00000000938         NA
6 ENSG00000000971.14 ENSG00000000971         NA
7 ENSG00000001036.12 ENSG00000001036         NA
8  ENSG00000001084.9 ENSG00000001084         NA
9 ENSG00000001167.13 ENSG00000001167         NA

With fuzzy logic, it would be:

>library(fuzzyjoin)
>regex_left_join(genes, genesens,by=c("V1"="ensembl_gene_id"))

                  V1 ensembl_gene_id entrezgene
1  ENSG00000000005.5 ENSG00000000005      64102
2 ENSG00000000419.11            <NA>         NA
3 ENSG00000000457.12            <NA>         NA
4 ENSG00000000460.15            <NA>         NA
5 ENSG00000000938.11            <NA>         NA
6 ENSG00000000971.14            <NA>         NA
7 ENSG00000001036.12            <NA>         NA
8  ENSG00000001084.9            <NA>         NA
9 ENSG00000001167.13            <NA>         NA
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Thank you so much for your help! The entrezgene is an integer and left join can only used to characters. Should I just convert it with the toString function? Excuse my very basic question, but I am just starting working with R.

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Can you print the data structure of common columns between the two frames?

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Expression matrix columns

                                   X1 TCGA-AA-3815-01A-01R-1022-07 TCGA-NH-A5IV-01A-42R-A37K-07
ENSG00000000003.13 ENSG00000000003.13                         2449                         4369
ENSG00000000005.5   ENSG00000000005.5                            6                           58
ENSG00000000419.11 ENSG00000000419.11                          487                         1168
ENSG00000000457.12 ENSG00000000457.12                          269                         1049
ENSG00000000460.15 ENSG00000000460.15                          177                          533
ENSG00000000938.11 ENSG00000000938.11                          331                          858

that I turned into

"ENSG00000000003"       ENSG00000000005"        "ENSG00000000419"        "ENSG00000000457"        "ENSG00000000460"        "ENSG00000000938"        "ENSG00000000971"

by using nth(tstrsplit(genes, split ="\\."),n=1)

Biomart result is the following matrix

ensembl_gene_id entrezgene
1 ENSG00000000003       7105
2 ENSG00000000005      64102
3 ENSG00000000419       8813
4 ENSG00000000457      57147
5 ENSG00000000460      55732
6 ENSG00000000938       2268

Everything column is "character" except entrezgene that is an integer.

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Then your merge is on ensembl_gene_id column (from the result) and x1 column from the data matrix. Entrezgene column str doesn't affect left_join

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This is the reason I am confused when I get this message

Error in UseMethod("groups") : 
  no applicable method for 'groups' applied to an object of class "character"

And as the entrezgene column is the only one not being character I assumed this was the problem.

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Input head:

> head(dat)
                             X1 TCGA.AA.3815.01A.01R.1022.07 TCGA.NH.A5IV.01A.42R.A37K.07
ENSG00000000003 ENSG00000000003                         2449                         4369
ENSG00000000005 ENSG00000000005                            6                           58
ENSG00000000419 ENSG00000000419                          487                         1168
ENSG00000000457 ENSG00000000457                          269                         1049
ENSG00000000460 ENSG00000000460                          177                          533
ENSG00000000938 ENSG00000000938                          331                          858

results head:

> head(results)
  ensembl_gene_id entrezgene
1 ENSG00000000003       7105
2 ENSG00000000005      64102
3 ENSG00000000419       8813
4 ENSG00000000457      57147
5 ENSG00000000460      55732
6 ENSG00000000938       2268

data structure of results (ncbi entries are integers)

> str(results)
'data.frame':   6 obs. of  2 variables:
 $ ensembl_gene_id: chr  "ENSG00000000003" "ENSG00000000005" "ENSG00000000419" "ENSG00000000457" ...
 $ entrezgene     : int  7105 64102 8813 57147 55732 2268

output:

> dplyr::left_join(dat,results,by=c("X1"="ensembl_gene_id"))
               X1 TCGA.AA.3815.01A.01R.1022.07 TCGA.NH.A5IV.01A.42R.A37K.07 entrezgene
1 ENSG00000000003                         2449                         4369       7105
2 ENSG00000000005                            6                           58      64102
3 ENSG00000000419                          487                         1168       8813
4 ENSG00000000457                          269                         1049      57147
5 ENSG00000000460                          177                          533      55732
6 ENSG00000000938                          331                          858       2268

check if there are conflicting packages with dplyr (among loaded packages) and also check the structure of common columns. For eg. str(dat$X1) and str(results$ensembl_gene_id) from the above example. Both must match.

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I was mistakenly putting the Ensembl ID column instead of the whole data frame as an argument to the left join function. It worked just fine now. Thanks for helping!

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rin : If an answer was helpful, you should upvote it; if the answer resolved your question, you should mark it as accepted. You can accept more than one if they all work.
Upvote|Bookmark|Accept

Note: I have moved @cpad0112's original comment to an answer to maintain the train of throught.

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Looking at the NAs that came up after mapping to entrez, I randomly checked one (ENSG00000018607) and it is linked to an Entrez ID that was yet not found. Any ideas what might be the reason?

This is the code I used

   mart <- useDataset("hsapiens_gene_ensembl", useMart("ensembl"))
    genes.entrez <- getBM(
      filters="ensembl_gene_id",
      attributes=c("ensembl_gene_id", "entrezgene"),
      values=genes.nodot,
      mart=mart)
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6.3 years ago
arta ▴ 670

Try this.

source("https://bioconductor.org/biocLite.R")
biocLite("org.Hs.eg.db")
biocLite("clusterProfiler")
library(clusterProfiler)
library(org.Hs.eg.db)
gene.df <- bitr(gene.list, fromType = "ENSEMBL",
                        toType = c( "ENTREZID", "SYMBOL"),
                        OrgDb = org.Hs.eg.db)
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Running the code returns this message

select()' returned 1:many mapping between keys and columns
Warning message:
In bitr(genesens2, fromType = "ENSEMBL", toType = c("ENTREZID",  :
  57.95% of input gene IDs are fail to map...

I know that not all IDs can be mapped, but is such a high percentage normal? In addition to that, I am still unsure how everything can be included right into the data frame, as I have to use the expression matrix with the Entrez IDs further. Especially taking into account that not all the IDs will be mapped, I am not able to just add a column.

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Thanks for your help! Where is the bitr function from? It is not recognised from any of my installed packages.

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I have updated the code, i forgot to add the other package.

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Could you elaborate please? Which package is bitr defined in. Does it deal with the gene-builds appropriately?

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