I've got a list of rs SNPs I'd like to enter into the David functional annotation tool. Since it does not support rsids I need to get the refseq gene id (or something similar) of the genes these SNPs overlap with first.
Is there a simple way of getting a gene ID for a SNP? Solution in BioPython or R is fine.
Since I have 22k snps I need an automatic way. And if a text file that maps these values exist, a link to it would be enough.
Ps. preferably looking for a solution that does not use the position of the SNPs; I would be able to solve the problem this way myself.
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written
by
Endre Bakken Stovner
It looks like DAVID can convert from Ensembl Gene IDs, so you can get to those from rs IDs using R/biomaRt, like this:
library(biomaRt)
mart.snp <- useMart("snp", "hsapiens_snp")
getENSG <- function(rs = "rs3043732", mart = mart.snp) {
results <- getBM(attributes = c("refsnp_id", "ensembl_gene_stable_id"),
filters = "snp_filter", values = rs, mart = mart)
return(results)
}
# default parameters
getENSG()
refsnp_id ensembl_gene_stable_id
1 rs3043732 ENSG00000175445
# or supply rs ID
getENSG(rs = "rs224550")
refsnp_id ensembl_gene_stable_id
1 rs224550 ENSG00000262304
2 rs224550 ENSG00000196689
Is there any way to get NCBI Gene ID and/or HGNC id for each SNP id?
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written
by
always_learning
Hi, using biomaRt is there a way to set GRCh37 instead of default GRCh38 version? thank you in advance.
•
written
by
Nicola Casiraghi
You can specify an Ensembl archive using the host = parameter of useMart. For example:
mart.hs <- useMart(biomart = "ENSEMBL_MART_ENSEMBL", dataset = "hsapiens_gene_ensembl", host = "grch37.ensembl.org")
Depending on what you want to know, you might also put them into the Ensembl VEP. You can use a list of rsIDs as input, and as output get all the genes they hit and what effects they have, including SIFT and Polyphen scores where relevant. You can use it as an online tool or run it as a Perl script (no perling on your part).
Teensy perl code example appreciated.
•
written
by
Endre Bakken Stovner
As an alternative to Biomart you can use Enterz API. An example query to fetch the rs6311 would use the following URL:
https://eutils.ncbi.nlm.nih.gov/entrez/eutils/efetch.fcgi?db=snp&id=rs6311&retmode=xml
when retrieving many results at a time you may wish to use a script with proper identification to follow Entrez usage policy. I am using my own little Python wrapper for that, easy_entrez:
from easy_entrez import EntrezAPI
entrez_api = EntrezAPI('Project name', 'your@mail.com')
rs6311 = entrez_api.fetch(['rs6311'], max_results=1, database='snp').data
namespaces = {'ns0': 'https://www.ncbi.nlm.nih.gov/SNP/docsum'}
genes = [
name.text
for name in rs6311.findall('.//ns0:GENE_E/ns0:NAME', namespaces)
]
print(genes)
which gives ['HTR2A'].
Gene to rs id
library(biomaRt)
## It might take long time to process if many genes (>50) in the list.
## hgnc_gene_symbols.txt is the file that has the list of gene symbols one per line.
genes <- read.table("~/hgnc_gene_symbols.txt")
ensembl = useMart("ensembl", dataset="hsapiens_gene_ensembl")
dbsnp = useMart("snp", dataset = "hsapiens_snp")
getHGNC2ENSG = getBM(attributes=c('chromosome_name', 'start_position',
'end_position', 'strand', 'ensembl_gene_id',
'hgnc_symbol', 'refseq_mrna'),
filters ='hgnc_symbol', values = genes, mart = ensembl)
write.table(getHGNC2ENSG, file="~/hgnc_gene_symbols.txt.ensg.coord.tsv",
sep="\t", col.names=T, row.names=T, append = F, quote=FALSE)
getRSid4ENSG <- getBM(c('refsnp_id', 'allele', 'snp', 'chr_name', 'chrom_start',
'chrom_strand', 'associated_gene', 'ensembl_gene_stable_id',
'synonym_name', 'consequence_type_tv'),
filters = 'ensembl_gene', values = genes, mart = dbsnp)
write.table(getRSid4ENSG, file="~/hgnc_gene_symbols.txt.ensg.RSid.coord.tsv",
sep="\t", col.names=T, row.names=T, append = F, quote=FALSE)
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I find this tool SNP-Nexus very effective. It runs with the rs IDs of the SNPs as well with batch queries. Please find the link to the page below
http://snp-nexus.org/about.html
I hope this tool will suffice your need a well