ArticleBMC proceedings2009
Rheumatoid arthritis-associated gene-gene interaction network for rheumatoid arthritis candidate genes.
Article in BMC proceedings, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 1 of them a synthesis that pooled it.
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Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
11 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Association between miRNA-499 gene polymorphism and autoimmune diseases: A meta-analysis.PloS one · 2022Pooled it
- Association analysis of miRNA-146a and miRNA-499 polymorphisms with rheumatoid arthritis: a case-control and trio-family study.Clinical and experimental medicine · 2023Article
- Modified entropy-based procedure detects gene-gene-interactions in unconventional genetic models.BMC medical genomics · 2020Article
- HLA-C: An Accomplice in Rheumatic Diseases.ACR open rheumatology · 2019Review
- Genomic locus on chromosome 1 regulates susceptibility to spontaneous arthritis in mice deficiency of IL-1RA.BMC immunology · 2014Article
- A partition-based approach to identify gene-environment interactions in genome wide association studies.BMC proceedings · 2014Article
- A robust model-free approach for rare variants association studies incorporating gene-gene and gene-environmental interactions.PloS one · 2013Article
- Detection for gene-gene co-association via kernel canonical correlation analysis.BMC genetics · 2012Article
- Traditional chinese medicine-based network pharmacology could lead to new multicompound drug discovery.Evidence-based complementary and alternative medicine : eCAM · 2012Article
- Association study of single nucleotide polymorphisms in pre-miRNA and rheumatoid arthritis in a Han Chinese population.Molecular biology reports · 2011Article
- The challenge of detecting epistasis (G x G interactions): Genetic Analysis Workshop 16.Genetic epidemiology · 2009Article
Corrections and comments
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Authors and funding
6 authors.
Funding
Abstract
Rheumatoid arthritis (RA, MIM 180300) is a chronic and complex autoimmune disease. Using the North American Rheumatoid Arthritis Consortium (NARAC) data set provided in Genetic Analysis Workshop 16 (GAW16), we used the genotype-trait distortion (GTD) scores and proposed analysis procedures to capture the gene-gene interaction effects of multiple susceptibility gene regions on RA. In this paper, we focused on 27 RA candidate gene regions (531 SNPs) based on a literature search. Statistical significance was evaluated using 1000 permutations. HLADRB1 was found to have strong marginal association with RA. We identified 14 significant interactions (p < 0.01), which were aggregated into an association network among 12 selected candidate genes PADI4, FCGR3, TNFRSF1B, ITGAV, BTLA, SLC22A4, IL3, VEGF, TNF, NFKBIL1, TRAF1-C5, and MIF. Based on our and other contributors' findings during the GAW16 conference, we further studied 24 candidate regions with 336 SNPs. We found 23 significant interactions (p-value < 0.01), nine interactions in addition to our initial findings, and the association network was extended to include candidate genes HLA-A, HLA-B, HLA-C, CTLA4, and IL6. As we will discuss in this paper, the reported possible interactions between genes may suggest potential biological activities of RA.
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Registered trials
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