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Meta-Analysis of 125 Rheumatoid Arthritis-Related Single Nucleotide Polymorphisms Studied in the Past Two Decades

Author

Listed:
  • Yongshuai Jiang
  • Ruijie Zhang
  • Jiajia Zheng
  • Panpan Liu
  • Guoping Tang
  • Hongchao Lv
  • Lanying Zhang
  • Zhenwei Shang
  • Yuanbo Zhan
  • Wenhua Lv
  • Miao Shi
  • Ruimin Zhang

Abstract

Objective: Candidate gene association studies and genome-wide association studies (GWAs) have identified a large number of single nucleotide polymorphisms (SNPs) loci affecting susceptibility to rheumatoid arthritis (RA). However, for the same locus, some studies have yielded inconsistent results. To assess all the available evidence for association, we performed a meta-analysis on previously published case-control studies investigating the association between SNPs and RA. Methods: Two hundred and sixteen studies, involving 125 SNPs, were reviewed. For each SNP, three genetic models were considered: the allele, dominant and recessive effects models. For each model, the effect summary odds ratio (OR) and 95% CIs were calculated. Cochran’s Q-statistics were used to assess heterogeneity. If the heterogeneity was high, a random effects model was used for meta-analysis, otherwise a fixed effects model was used. Results: The meta-analysis results showed that: (1) 30, 28 and 26 SNPs were significantly associated with RA (P

Suggested Citation

  • Yongshuai Jiang & Ruijie Zhang & Jiajia Zheng & Panpan Liu & Guoping Tang & Hongchao Lv & Lanying Zhang & Zhenwei Shang & Yuanbo Zhan & Wenhua Lv & Miao Shi & Ruimin Zhang, 2012. "Meta-Analysis of 125 Rheumatoid Arthritis-Related Single Nucleotide Polymorphisms Studied in the Past Two Decades," PLOS ONE, Public Library of Science, vol. 7(12), pages 1-8, December.
  • Handle: RePEc:plo:pone00:0051571
    DOI: 10.1371/journal.pone.0051571
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    1. Wenzhi Wang & Yumin Hu & Peiou Lu & Yingci Li & Yunfu Chen & Mohan Tian & Lijuan Yu, 2014. "Evaluation of the Diagnostic Performance of Magnetic Resonance Spectroscopy in Brain Tumors: A Systematic Review and Meta-Analysis," PLOS ONE, Public Library of Science, vol. 9(11), pages 1-11, November.

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