When the search for genes that predispose to cardiovascular diseases (CVD) started Ͼ20 years ago, it was anticipated that genetic polymorphisms might be analogous to the already known CVD risk factors and could be incorporated in a risk model such as the Framingham score 1 to assess the risk of an individual and adopt preventive or therapeutic measures accordingly. However, despite years of intensive research, not a single genetic risk factor is used for risk assessment. The new strategy of genome-wide association (GWA) studies (for example, see http://www.wtccc. org.uk/) coupled with the availability of very large cohorts of patients 2 is starting to reveal novel genetic factors that contribute to disease risk. Whether these variants will be clinically more useful than those that were derived from the study of candidate genes still needs to be demonstrated. As time passes, the interest for genetic research on common CVD moves progressively from the direct expectation of risk stratification to the more fundamental understanding of disease origins and pathophysiology and their indirect diagnostic and therapeutic implications.The objective of the present review is not to provide an exhaustive account of the numerous studies conducted on the genetics of CVD (eg, Arnett et al 3 ), but to introduce a few basic notions required to understand the language of genetics and genomics (see Appendix) and illustrate with a limited number of examples the important insights provided by genetic research into the causes and mechanisms of CVD. We will also discuss the new GWA strategy and why this approach is likely to have a considerable impact on biomedicine and human disease understanding. Finally, we will try to explain the unsuccessful search for genetic markers of risk and why phenotypic biomarkers are likely to be clinically more useful.