SNPselector: a web tool for selecting SNPs for genetic association studies

H. Xu, S. G. Gregory, E. R. Hauser, J. E. Stenger, M. A. Pericak-Vance, J. M. Vance, S. Zuchner, M. A. Hauser
<span title="2005-09-22">2005</span> <i title="Oxford University Press (OUP)"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/wmo54ba2jnemdingjj4fl3736a" style="color: black;">Bioinformatics</a> </i> &nbsp;
Single nucleotide polymorphisms (SNPs) are commonly used for association studies to find genes responsible for complex genetic diseases. With the recent advance of SNP technology, researchers are able to assay thousands of SNPs in a single experiment. But the process of manually choosing thousands of genotyping SNPs for tens or hundreds of genes is time consuming. We have developed a webbased program, SNPselector, to automate the process. SNPselector takes a list of gene names or a list of
more &raquo; ... ic regions as input and searches the Ensembl genes or genomic regions for available SNPs. It prioritizes these SNPs on their tagging for linkage disequilibrium, SNP allele frequencies and source, function, regulatory potential and repeat status. SNPselector outputs result in compressed Excel spreadsheet files for review by the user.
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1093/bioinformatics/bti682">doi:10.1093/bioinformatics/bti682</a> <a target="_blank" rel="external noopener" href="https://www.ncbi.nlm.nih.gov/pubmed/16179360">pmid:16179360</a> <a target="_blank" rel="external noopener" href="https://pubmed.ncbi.nlm.nih.gov/PMC1361283/">pmcid:PMC1361283</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/dlksubfrpnec7adwpbdo47unla">fatcat:dlksubfrpnec7adwpbdo47unla</a> </span>
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