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Noncoding DNA - once called “junk” has revealed itself to be full of function (ENCODE). Technology development has allowed researchers to gather genome-scale data pointing towards complex regulatory regions, expression and function of noncoding RNA genes, and conserved elements. Variation in these regions has been tied to variation in biological function and human disease. This project tackles the problem of analyzing and clinically interpreting the data relating to variation in and interactions between noncoding regions through computational biology. These outcome provides a ‘roadmap’ of disease mechanisms emerging from GWAS and further identify candidate therapeutic targets among downstream effectors of intergenic SNPs.