Hub genes and gene functions associated with postmenopausal osteoporosis predicted by an integrated method
| Autor: | Xiangdang Liang, Qun Zhang, Wei Zhang, Lihai Zhang, Peifu Tang, Honghai Cao, Hua Chen, Yizhu Guo |
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| Rok vydání: | 2018 |
| Předmět: |
0301 basic medicine
Cancer Research hub Context (language use) Articles General Medicine Computational biology Biology EEF2 Cellular macromolecule biosynthetic process postmenopausal osteoporosis 03 medical and health sciences gene function 030104 developmental biology Immunology and Microbiology (miscellaneous) network Gene expression Translational elongation gene Gene Biological network Rank product |
| Zdroj: | Experimental and Therapeutic Medicine |
| ISSN: | 1792-1015 1792-0981 |
| DOI: | 10.3892/etm.2018.7095 |
| Popis: | Postmenopausal osteoporosis (PO) imposes great burden on individuals and society. This study predicted hub genes and gene functions for PO by an integration of the convergent evidence (CE) method, rank product (RP) algorithm and the combing of P-values. Using the gene expression data, genes were ranked by the CE method, RP algorithm and combing P-values, respectively. Subsequently, the top 100 genes were selected from each of the three gene lists, and then the common genes for two or three methods were denoted as informative genes of PO. A mutual information network (MIN) was constructed for the informative genes utilizing the context likelihood of relatedness algorithm. Topological centrality (degree) analysis was conducted on the MIN to investigate hub genes. Then we performed Gene Ontology (GO) enrichment analysis dependent upon the Biological Networks Gene Ontology tool (BiNGO) plugin of Cytoscape to investigate hub gene functions for PO patients. Consequently, a total of 82 informative genes were obtained by integrating the results of the three methods. There were 82 nodes and 1,741 edges in the MIN, of which 8 hub genes were identified, such as PFN1, EEF2 and S100A9. The result of GO enrichment analysis showed that 49 GO terms with P |
| Databáze: | OpenAIRE |
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