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Database Commons

a catalog of worldwide biological databases

Database Profile

Mouse SNP Miner

General information

URL: http://bioinfo.embl.it/SnpApplet/
Full name:
Description: We have developed a database of mouse SNPs predicted to cause missense, nonsense, frameshift, and splice-site mutations. The database also provides gene expression and functional annotations from the Symatlas, Gene Ontology, and OMIM databases to further assess candidate phenotype-causing mutations.
Year founded: 2007
Last update:
Version:
Accessibility:
Unaccessible
Country/Region: Italy

Classification & Tag

Data type:
DNA
Data object:
Database category:
Major species:
Keywords:

Contact information

University/Institution: Mouse Biology Unit
Address:
City:
Province/State:
Country/Region: Italy
Contact name (PI/Team): Reuveni E
Contact email (PI/Helpdesk): reuveni@embl.it

Publications

17239255
Mouse SNP Miner: an annotated database of mouse functional single nucleotide polymorphisms. [PMID: 17239255]
Reuveni E, Ramensky VE, Gross C.

BACKGROUND: The mapping of quantitative trait loci in rat and mouse has been extremely successful in identifying chromosomal regions associated with human disease-related phenotypes. However, identifying the specific phenotype-causing DNA sequence variations within a quantitative trait locus has been much more difficult. The recent availability of genomic sequence from several mouse inbred strains (including C57BL/6J, 129X1/SvJ, 129S1/SvImJ, A/J, and DBA/2J) has made it possible to catalog DNA sequence differences within a quantitative trait locus derived from crosses between these strains. However, even for well-defined quantitative trait loci (<10 Mb) the identification of candidate functional DNA sequence changes remains challenging due to the high density of sequence variation between strains.
DESCRIPTION: To help identify functional DNA sequence variations within quantitative trait loci we have used the Ensembl annotated genome sequence to compile a database of mouse single nucleotide polymorphisms (SNPs) that are predicted to cause missense, nonsense, frameshift, or splice site mutations (available at http://bioinfo.embl.it/SnpApplet/). For missense mutations we have used the PolyPhen and PANTHER algorithms to predict whether amino acid changes are likely to disrupt protein function.
CONCLUSION: We have developed a database of mouse SNPs predicted to cause missense, nonsense, frameshift, and splice-site mutations. Our analysis revealed that 20% and 14% of missense SNPs are likely to be deleterious according to PolyPhen and PANTHER, respectively, and 6% are considered deleterious by both algorithms. The database also provides gene expression and functional annotations from the Symatlas, Gene Ontology, and OMIM databases to further assess candidate phenotype-causing mutations. To demonstrate its utility, we show that Mouse SNP Miner successfully finds a previously identified candidate SNP in the taste receptor, Tas1r3, that underlies sucrose preference in the C57BL/6J strain. We also use Mouse SNP Miner to derive a list of candidate phenotype-causing mutations within a previously uncharacterized QTL for response to morphine in the 129/Sv strain.

BMC Genomics. 2007:8() | 9 Citations (from Europe PMC, 2025-12-20)

Ranking

All databases:
6076/6895 (11.893%)
Genotype phenotype and variation:
892/1005 (11.343%)
6076
Total Rank
9
Citations
0.5
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Record metadata

Created on: 2018-01-27
Curated by:
Tongkun Guo [2018-02-25]