Researchers at the University of Illinois Urbana-Champaign have developed a new computational tool to identify pathways related to diseases, including breast and prostate cancer, using single-nucleotide polymorphisms (SNPs).
The tool, called VarSAn (Variant Set Annotator, pronounced ‘version’), uses SNPs that have been identified by sequencing studies as being disease-related, to predict which pathways may be perturbed by these SNPs.
The team is now trying to make VarSAn an online tool where researchers can paste the SNPs list and get the report directly.
The work was funded by the Mayo Clinic Center for Individualized Medicine and the Todd and Karen Waneck Program for Hypolastic Left Heart Syndrome and the National Institutes of Health.
Publication link: https://doi.org/10.1093/nar/gkab624