About 240 people on earth contract HIV every hour according to the American Foundation for AIDS Research. Many researchers have put in millions of man hours in the quest to identify viable targets for identification and management of the viral infection. In this dissertation, an attempt is made to use available molecular data to identify unique genetics finger print profiles that can be used to reliably predict those at risk of HIV acquisition. Such unique genetic fingerprints could also be targets for future development of vaccines that may help in the quest for winning the fight against infection in the first place. Most laboratory kits for HIV will reliably identify those people already infected with the disease and a test that can identify those at risk or those that could benefit from future vaccination is timely. Such a discovery could go a long way in mitigating the tremendous effects of HIV infection on individuals and societies at large. My findings from the analysis show a good number of differentially expressed genes with the potential to build a reliable predictive model for HIV acquisition. More studies that are prospective in nature need to be conducted to further illuminate and characterize these potentially helpful findings.