Abstract

BackgroundMost recently, with maturing of bovine genome sequencing and high throughput SNP genotyping technologies, a large number of significant SNPs associated with economic important traits can be identified by genome-wide association studies (GWAS). To further determine true association findings in GWAS, the common strategy is to sift out most promising SNPs for follow-up replication studies. Hence it is crucial to explore the functional significance of the candidate SNPs in order to screen and select the potential functional ones. To systematically prioritize these statistically significant SNPs and facilitate follow-up replication studies, we developed a bovine SNP annotation tool (Snat) based on a web interface.ResultsWith Snat, various sources of genomic information are integrated and retrieved from several leading online databases, including SNP information from dbSNP, gene information from Entrez Gene, protein features from UniProt, linkage information from AnimalQTLdb, conserved elements from UCSC Genome Browser Database and gene functions from Gene Ontology (GO), KEGG PATHWAY and Online Mendelian Inheritance in Animals (OMIA). Snat provides two different applications, including a CGI-based web utility and a command-line version, to access the integrated database, target any single nucleotide loci of interest and perform multi-level functional annotations. For further validation of the practical significance of our study, SNPs involved in two commercial bovine SNP chips, i.e., the Affymetrix Bovine 10K chip array and the Illumina 50K chip array, have been annotated by Snat, and the corresponding outputs can be directly downloaded from Snat website. Furthermore, a real dataset involving 20 identified SNPs associated with milk yield in our recent GWAS was employed to demonstrate the practical significance of Snat.ConclusionsTo our best knowledge, Snat is one of first tools focusing on SNP annotation for livestock. Snat confers researchers with a convenient and powerful platform to aid functional analyses and accurate evaluation on genes/variants related to SNPs, and facilitates follow-up replication studies in the post-GWAS era.

Highlights

  • Most recently, with maturing of bovine genome sequencing and high throughput SNP genotyping technologies, a large number of significant SNPs associated with economic important traits can be identified by genome-wide association studies (GWAS)

  • FunctSNP provides various functions to search and manage annotated data related to SNPs, the main limitations maybe exist: Firstly, it is not straightforward and convenient to annotate even one SNP using FunctSNP, because users should initially construct a local database before SNP annotation and cannot be run online through a web interface, leading to low efficiency and time consuming

  • One is to query and annotate those SNPs involved in dbSNP, the other is to deal with arbitrary single nucleotide loci no matter whether they are included in dbSNP or not

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Summary

Results

By setting specified query options, Snat generates corresponding annotated data with combination of various assortments of biological information of SNPs. The outputs of annotation can be browsed online in HTML or integrated in a plain text file for downloading. The HTML output can be clearly viewed online in colored and aligned tables (see Figure 4) while the plain text report is created with a specified format (see Additional file 3). The biological information on each of these SNPs, including SNP information from dbSNP, gene information from Entrez Gene, protein features from UniProt, gene function annotations from GO, KEGG PATHWAY and OMIA, linkage information from AnimalQTLdb and conserved elements from UCSC Genome Browser Database, are integrated in these output files, which are publicly available for downloading from Snat site. Based on the above tests, the speed of online annotation is practically acceptable as running Snat

Conclusions
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