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

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. T...

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Autores principales: Jiang, Yongshuai, Zhang, Ruijie, Zheng, Jiajia, Liu, Panpan, Tang, Guoping, Lv, Hongchao, Zhang, Lanying, Shang, Zhenwei, Zhan, Yuanbo, Lv, Wenhua, Shi, Miao, Zhang, Ruimin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2012
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3519690/
https://www.ncbi.nlm.nih.gov/pubmed/23251581
http://dx.doi.org/10.1371/journal.pone.0051571
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author Jiang, Yongshuai
Zhang, Ruijie
Zheng, Jiajia
Liu, Panpan
Tang, Guoping
Lv, Hongchao
Zhang, Lanying
Shang, Zhenwei
Zhan, Yuanbo
Lv, Wenhua
Shi, Miao
Zhang, Ruimin
author_facet Jiang, Yongshuai
Zhang, Ruijie
Zheng, Jiajia
Liu, Panpan
Tang, Guoping
Lv, Hongchao
Zhang, Lanying
Shang, Zhenwei
Zhan, Yuanbo
Lv, Wenhua
Shi, Miao
Zhang, Ruimin
author_sort Jiang, Yongshuai
collection PubMed
description 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<0.01) for the allele, dominant, and recessive models, respectively. (2) rs2476601 (PTPN22) showed the strongest association for all the three models: OR = 1.605, 95% CI: 1.540–1.672, P<1.00E−15 for the T-allele; OR = 1.638, 95% CI: 1.565–1.714, P<1.00E−15 for the T/T+T/C genotype and OR = 2.544, 95% CI: 2.173–2.978, P<1.00E−15 for the T/T genotype. (3) Only 23 (18.4%), 13 (10.4%) and 15 (12.0%) SNPs had high heterogeneity (P<0.01) for the three models, respectively. (4) For some of the SNPs, there was no publication bias according to Funnel plots and Egger’s regression tests (P<0.01). For the other SNPs, the associations were tested in only a few studies, and may have been subject to publication bias. More studies on these loci are required. CONCLUSION: Our meta-analysis provides a comprehensive evaluation of the RA association studies from the past two decades. The detailed meta-analysis results are available at: http://210.46.85.180/DRAP/index.php/Metaanalysis/index.
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spelling pubmed-35196902012-12-18 Meta-Analysis of 125 Rheumatoid Arthritis-Related Single Nucleotide Polymorphisms Studied in the Past Two Decades Jiang, Yongshuai Zhang, Ruijie Zheng, Jiajia Liu, Panpan Tang, Guoping Lv, Hongchao Zhang, Lanying Shang, Zhenwei Zhan, Yuanbo Lv, Wenhua Shi, Miao Zhang, Ruimin PLoS One Research Article 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<0.01) for the allele, dominant, and recessive models, respectively. (2) rs2476601 (PTPN22) showed the strongest association for all the three models: OR = 1.605, 95% CI: 1.540–1.672, P<1.00E−15 for the T-allele; OR = 1.638, 95% CI: 1.565–1.714, P<1.00E−15 for the T/T+T/C genotype and OR = 2.544, 95% CI: 2.173–2.978, P<1.00E−15 for the T/T genotype. (3) Only 23 (18.4%), 13 (10.4%) and 15 (12.0%) SNPs had high heterogeneity (P<0.01) for the three models, respectively. (4) For some of the SNPs, there was no publication bias according to Funnel plots and Egger’s regression tests (P<0.01). For the other SNPs, the associations were tested in only a few studies, and may have been subject to publication bias. More studies on these loci are required. CONCLUSION: Our meta-analysis provides a comprehensive evaluation of the RA association studies from the past two decades. The detailed meta-analysis results are available at: http://210.46.85.180/DRAP/index.php/Metaanalysis/index. Public Library of Science 2012-12-10 /pmc/articles/PMC3519690/ /pubmed/23251581 http://dx.doi.org/10.1371/journal.pone.0051571 Text en © 2012 Jiang et al http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are properly credited.
spellingShingle Research Article
Jiang, Yongshuai
Zhang, Ruijie
Zheng, Jiajia
Liu, Panpan
Tang, Guoping
Lv, Hongchao
Zhang, Lanying
Shang, Zhenwei
Zhan, Yuanbo
Lv, Wenhua
Shi, Miao
Zhang, Ruimin
Meta-Analysis of 125 Rheumatoid Arthritis-Related Single Nucleotide Polymorphisms Studied in the Past Two Decades
title Meta-Analysis of 125 Rheumatoid Arthritis-Related Single Nucleotide Polymorphisms Studied in the Past Two Decades
title_full Meta-Analysis of 125 Rheumatoid Arthritis-Related Single Nucleotide Polymorphisms Studied in the Past Two Decades
title_fullStr Meta-Analysis of 125 Rheumatoid Arthritis-Related Single Nucleotide Polymorphisms Studied in the Past Two Decades
title_full_unstemmed Meta-Analysis of 125 Rheumatoid Arthritis-Related Single Nucleotide Polymorphisms Studied in the Past Two Decades
title_short Meta-Analysis of 125 Rheumatoid Arthritis-Related Single Nucleotide Polymorphisms Studied in the Past Two Decades
title_sort meta-analysis of 125 rheumatoid arthritis-related single nucleotide polymorphisms studied in the past two decades
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3519690/
https://www.ncbi.nlm.nih.gov/pubmed/23251581
http://dx.doi.org/10.1371/journal.pone.0051571
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