[Study design and statistical methods used for integrative analysis on multi-omics in cancer epidemiology].

Rapid development of biotechnology provides us with large number of omics data from different angles in biological research, including genomics, transcriptomics, proteomics, metabolomics and epigenetics. However, any single technology cannot reflect the entire picture of the biological complexity of most tumors. The integration of multiple technologies has emerged as a new approach to provide a more comprehensive view on the biological aspects of tumors. Despite the maturing of acquisition and processing approaches regarding the various omics data, integration of multi-omics data still needs to be developed. In this paper, we summarize the applications of various omics approaches in the field of cancer research, focusing on the current status of integration of omics data in the study design and strategies on cancer research.