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This site fitsnps.stanford.edu states the following, "Page describes a simple step-by-step tutorial to load fitSNPs into UCSC genome graph and visualize it along with your genomic data, such as GWAS data." We noticed that the website said " Some highly differentially expressed genes have not yet been associated with any disease, and are interesting investigative leads." It also stated " We used fitSNPs to prioritize genes for diseases with previously identified loci and unknown molecular basis from OMIM, and suggested 2586 genes to be sequenced for 597 syndromes in the prediction. Last updated on May 14 , 2009." The header had Differential gene expression as the highest ranking keyword. It was followed by Gene prioritization, single nucleotide polymorphism, and disease which isn't as ranked as highly as Differential gene expression. The next words the site used was variant. mutation was also included but could not be viewed by search engines.