With the completion of the Human Genome Project and the development of high-throughput experimental technologies, bioinformatics has become an essential part of research and development in the biomedical sciences. The purpose of this dissertation was to identify the susceptibility genes of atherosclerosis and myopia using in silico analysis. In the first part of this study, we sought to identify target genes of microRNA that are involved in oxLDL-stimulated atherosclerosis formation. We used computational target prediction programs to compile the putative microRNA target genes. In the second part of this study, we investigated genetic loci influencing susceptibility to myopia. We conducted pathway analysis to select promising genes from our genome wide association study of myopia. Subsequently, we selected one candidate gene for further validation study. This study may provide new insights into the research areas we have previously worked on.