Journal of Computer Science & Systems Biology

Shouguo Gao

Publications

• Research Article
  Predicting Type 1 Diabetes Candidate Genes using Human Protein-Protein Interaction Networks
  Author(s): Shouguo Gao and Xujing WangShouguo Gao and Xujing Wang
  
  Background Proteins directly interacting with each other tend to have similar functions and be involved in the same cellular processes. Mutations in genes that code for them often lead to the same family of disease phenotypes. Efforts have been made to prioritize positional candidate genes for complex diseases utilize the protein-protein interaction (PPI) information. But such an approach is often considered too general to be practically useful for specific diseases. Results In this study we investigate the efficacy of this approach in type 1 diabetes (T1D). 266 known disease genes, and 983 positional candidate genes from the 18 established linkage loci of T1D, are compiled from the T1Dbase (http://t1dbase.org). We found that the PPI network of known T1D genes has distinct topological features from others, with significantly higher number of interactions .. Read More»
  DOI: 10.4172/jcsb.1000025

  Abstract PDF