A review of the literature for single nucleotide polymorphisms associated with cardiovascular disease revealed about 30 high-confidence single nucleotide polymorphisms. Individually, none is predictive for cardiovascular disease. Several authors combined some number of these single nucleotide polymorphisms into a genetic risk score modeled on the Framingham Risk Score that is based on traditional risk factors, including lipid profile, hypertension, age, family history, diabetes, and smoking status.All genetic risk scores were associated with cardiovascular disease and had a similar predictive value as traditional risk factors; however, when genetic risk scores were combined with predictive scores based on traditional risk factors, there was only a minimal increase in predictive value.Conclusions: Genetic profile discovery to augment the current assessment paradigm is not recommended because traditional risk factors-based scores have similar predictive power, are less expensive, and are more easily interpreted by the medical community.