Identification of Candidate Genes Related to Inflammatory Bowel Disease Using Minimum Redundancy Maximum Relevance, Incremental Feature Selection, and the Shortest-Path Approach.

Identification of disease genes is a hot topic in biomedicine and genomics. However, it is a challenging problem because of the complexity of diseases. Inflammatory bowel disease (IBD) is an idiopathic disease caused by a dysregulated immune response to host intestinal microflora. It has been proven...

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Published in:BioMed Research International Vol. 2017; pp. 1 - 16
Main Authors: Yuan, Fei, Zhang, Yu-Hang, Kong, Xiang-Yin, Cai, Yu-Dong
Format: equations & formulas research tables/charts Journal Article
Published: Wiley-Blackwell 2/14/2017
Online Access:View this record in EBSCOhost
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      dt: 2/14/2017
      vid: 2017
      pid: 480
      pub: Wiley-Blackwell
      place: Malden, Massachusetts
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        121269742
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        10.1155/2017/5741948
        121269742
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        atl: Identification of Candidate Genes Related to Inflammatory Bowel Disease Using Minimum Redundancy Maximum Relevance, Incremental Feature Selection, and the Shortest-Path Approach.
      aug:
        au:
          Yuan, Fei
          Zhang, Yu-Hang
          Kong, Xiang-Yin
          Cai, Yu-Dong
        affil: Department of Science & Technology, Binzhou Medical University Hospital, Binzhou 256603, Shandong, China
      sug:
        subj:
          Inflammatory Bowel Diseases Familial and Genetic
          Inflammatory Bowel Diseases Immunology
          Inflammatory Bowel Diseases Pathology
          Bioinformatics
          Colitis, Ulcerative Familial and Genetic
          Crohn Disease Familial and Genetic
          Gene Expression Profiling
          Inflammatory Bowel Diseases Classification
          Descriptive Statistics
          Validity
          T Lymphocytes
          Receptors, Cell Surface
          Signal Transduction
          Protein Kinases
          Apoptosis
          Cell Physiology
          Funding Source
          Human
      ab: Identification of disease genes is a hot topic in biomedicine and genomics. However, it is a challenging problem because of the complexity of diseases. Inflammatory bowel disease (IBD) is an idiopathic disease caused by a dysregulated immune response to host intestinal microflora. It has been proven to be associated with the development of intestinal malignancies. Although the specific pathological characteristics and genetic background of IBD have been partially revealed, it is still an overdetermined disease and the blueprint of all genetic variants still needs to be improved. In this study, a novel computational method was built to identify genes related to IBD. Samples from two subtypes of IBD (ulcerative colitis and Crohn’s disease) and normal samples were employed. By analyzing the gene expression profiles of these samples using minimum redundancy maximum relevance and incremental feature selection, 21 genes were obtained that could effectively distinguish samples from the two subtypes of IBD and the normal samples. Then, the shortest-path approach was used to search for an additional 20 genes in a large network constructed using protein-protein interactions based on the above-mentioned 21 genes. Analyses of the 41 genes obtained indicate that they are closely associated with this disease.
      pubtype: Academic Journal
      doctype:
        equations & formulas
        research
        tables/charts
        Journal Article
      ougenre: Article
    language: English
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