A Recognition Method of Complex Disease Risk Gene Based on Network Integration

Abstract

Abstract In this paper, rheumatoid arthritis is studied as an example of complex diseases. As we all know, rheumatoid arthritis is a relatively complex disease of autoimmunity. It is caused by genetic and environmental factors. However, the mechanism of its pathogenesis and regulation is still unclear. This paper proposes a new method framework from the system level. We plan to use the already regulated information and functional relationships to explain the risk gene elements. For different risk gene modules, we can use the database to explore the relationship between them and the corresponding transcription factors. I believe that the results obtained will provide useful reference for the development of clinical medicine.