Abstract: There are a variety of methods used to understand and interpret one’s phenotype, the physical expression of one or more genes; one method, in particular, would be epistasis. Epistasis is used to assess gene variation in an attempt to find a combination of Single Nucleotide Polymorphisms (SNPs) that contribute to a certain phenotype. The difficulty with implementing epistasis is that it could be challenging to find a correlation between SNPs because rarely does one SNP affect a phenotype. So, in an effort to ease the complexity of this issue, we used the technique of Singular Value Decomposition (SVD) to compare individuals’ SNPs. When using this method on simulated data, we were able to find the top N cosine similar individuals and analyze which SNPs were most prominent between them. We aim to continue this success with the use of real data gathered on rats to test what SNPs contribute to their weight and lean mass.