ArticlePloS one2013
Candidate gene identification for systemic lupus erythematosus using network centrality measures and gene ontology.
Article in PloS one, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.
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Who cites it
11 citing papers in PubMed.
- Integrative Network Pharmacology and Molecular Docking Analysis Reveals the Multitarget Mechanisms of Pterostilbene in Neurodegenerative Diseases.Pharmaceuticals (Basel, Switzerland) · 2026Article
- Genes causative of primary immunodeficiency are risk factors for and are over-expressed in systemic lupus erythematosus.Frontiers in immunology · 2026Article
- Aphthous stomatitis - computational biology suggests external biotic stimulus and immunogenic cell death involved.BMC oral health · 2024Article
- Connecting the Dots: Exploring Psychological Network Analysis as a Tool for Analyzing Organizational Survey Data.Frontiers in psychology · 2022Article
- A graph centrality-based approach for candidate gene prediction for type 1 diabetes.Immunologic research · 2021Article
- Quantitative planar array screen of 1000 proteins uncovers novel urinary protein biomarkers of lupus nephritis.Annals of the rheumatic diseases · 2020Article
- Oral lichen planus interactome reveals CXCR4 and CXCL12 as candidate therapeutic targets.Scientific reports · 2020Article
- Regulatory and evolutionary signatures of sex-biased genes on both the X chromosome and the autosomes.Biology of sex differences · 2017Article
- Identification of oral cancer related candidate genes by integrating protein-protein interactions, gene ontology, pathway analysis and immunohistochemistry.Scientific reports · 2017Article
- Applications of systems approaches in the study of rheumatic diseases.The Korean journal of internal medicine · 2015Review
- The Role of Apoptotic Genes and Protein-Protein Interactions in Triple-negative Breast Cancer.Cancer genomics & proteomicsArticle
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Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Systemic lupus erythematosus (SLE) commonly accredited as "the great imitator" is a highly complex disease involving multiple gene susceptibility with non-specific symptoms. Many experimental and computational approaches have been used to investigate the disease related candidate genes. But the limited knowledge of gene function and disease correlation and also lack of complete functional details about the majority of genes in susceptible locus, encumbrances the identification of SLE related candidate genes. In this paper, we have studied the human immunome network (undirected) using various graph theoretical centrality measures integrated with the gene ontology terms to predict the new candidate genes. As a result, we have identified 8 candidate genes, which may act as potential targets for SLE disease. We have also carried out the same analysis by replacing the human immunome network with human immunome signaling network (directed) and as an outcome we have obtained 5 candidate genes as potential targets for SLE disease. From the comparison study, we have found these two approaches are complementary in nature.
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