Associating Protein Interactions with Disease Comorbidity to Prioritize Colorectal Cancer Genes
Identification of disease causing genes is one of the most important topics in human health that affects disease therapy and understanding disease mechanism. Genome-wide association studies focus on chromosomal locus which contains many suspected disease genes. Gene prioritization methods identify the most probable unknown disease genes due to this locus. In this study a network-based approach is proposed to prioritize colorectal cancer genes. Different methods involved in this approach are random walk with restart, network propagation and shortest path algorithms, which are separately applied on protein-protein interaction network to prioritize genes. Then these methods are combined in different ways to find the best combination of them for identifying disease genes. Finally by looking through comorbid diseases to colorectal cancer and extracting their causing genes, the proposed approach is reconsidered. The method is validated by cross-validation analysis and its results are compared with other prioritization methods. This comparison shows the better performance of this new approach.
Conflict of Interest
We have no conflict of interest to declare.
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