The basis of human nature is ultimately the central dogma of biology. The major processes in the central dogma include replication, transcription, and translation. The transcription of genes is regulated by promoters and enhancers. Epigenetic modifications changes such as histone modifications have been shown to assist in locating these enhancers and promoters across the genome. Due to the complex, nonlinear structure of DNA, promoters and enhancers can affect genes from a long distance. It is currently known that humans share over 98% of their genome with one another. Along the human genome, there are millions of locations that contribute to most of the differences between the genomes in the individual. Due to an increase of Genome Wide Association Studies (GWAS) within the past decade, many SNPs have been identified in association with many diseases and traits. Programs such as Pascal and VEGAS have been made available to analyze the data from GWAS. The purpose of this study is to explore two sources of data to ultimately connect SNPs with their associated genes. One method includes utilizing the proximity of SNPs to genes along the linear genome, and the second method is to use 3-dimensional contacts of these polymorphisms with certain genes which are a result of the complex folding within the genome. Once these connections betweens the SNPs and genes are established, this information can be used to do further analysis of cellular pathways and processes that make up complex diseases.