Atherosclerosis, the major cause of cardiovascular disease(CVD), leads to heart attack, strokes and peripheral vascular disease. Although tremendous advance in the research and clinical practice has been made over the past few decades, CVD still remains the leading cause of morbidity and mortality in the world. With the help of bioinformatics’ advancement, some candidate genes that have correlation to CVD have been unveiled in exome-wide association study. The discovery of proprotein convertase subtilisin/kexin type 9 (PCSK9), a protein that removes low-density lipoprotein receptor, and the successful clinical trials of drugs inhibiting PCSK9 are good examples. By collaborating with bioinformatic groups, I am now studying some new targets that show correlation to CVD. I anticipate that the new findings will not only uncover new physiological functions of these genes, but also provide a potential drug targets for treating CVD.