Discovering the pathological mechanism based on the locus interaction networks with differential analysis

Abstract

Discovering the pathological mechanism of genetic disease is a challenging task, but has great medical significance. In this paper, a novel method to identify the pathological mechanism of the genetic disease was proposed. To validate the validity of the method, as an example, we applied the method to discovery the pathological mechanism of the human Retinitis Pigmentosa by using the gene sequencing data of Retinitis Pigmentosa (RP) and the control group. Firstly, we constructed two locus genotypes interaction networks, which named as the control and the case. Secondly, we compared and analyzed the statistical discrepancy on the proportion and topological properties of nodes between two networks. Finally, this paper discovered one pair of genes, which were closely related to RP (Retinitis Pigmentosa). The biological significance of the results were validated by literature and bioinformatics databases.