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

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

PLOS ONE, 2012, vol. 7, issue 12, 1-8

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

Date: 2012
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Persistent link: https://EconPapers.repec.org/RePEc:plo:pone00:0051571

DOI: 10.1371/journal.pone.0051571

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