An important computational step following genome-wide association studies (GWAS) is to assess whether disease or trait-associated single-nucleotide polymorphisms (SNPs) enrich for particular biological annotations. SNP-based enrichment analysis needs to account for biases such as co-localization of GWAS signals to gene-dense and high linkage disequilibrium (LD) regions, and correlations of gene size, location and function. The SNPsnap Web server enables SNP-based enrichment analysis by providing matched sets of SNPs that can be used to calibrate background expectations. Specifically, SNPsnap efficiently identifies sets of randomly drawn SNPs that are matched to a set of query SNPs based on allele frequency, number of SNPs in LD, distance to nearest gene and gene density.
CITATION STYLE
Pers, T. H., Timshel, P., & Hirschhorn, J. N. (2015). SNPsnap: A Web-based tool for identification and annotation of matched SNPs. Bioinformatics, 31(3), 418–420. https://doi.org/10.1093/bioinformatics/btu655
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