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Review
. 2016 Aug 19:6:31617.
doi: 10.1038/srep31617.

Comprehensive Assessment of the Association between FCGRs polymorphisms and the risk of systemic lupus erythematosus: Evidence from a Meta-Analysis

Xiao-Wei Zhu  1 , Yong Wang  2 , Yi-Hua Wei  3 , Pian-Pian Zhao  1 , Xiao-Bo Wang  1 , Jing-Jing Rong  1 , Wen-Ying Zhong  1 , Xing-Wei Zhang  1 , Li Wang  1 , Hou-Feng Zheng  1
Affiliations
Review

Comprehensive Assessment of the Association between FCGRs polymorphisms and the risk of systemic lupus erythematosus: Evidence from a Meta-Analysis

Xiao-Wei Zhu et al. Sci Rep. .

Abstract

We performed a meta analysis to assess the relationship of FCGRs polymorphisms with the risk of SLE. Thirty-five articles (including up to 5741 cases and 6530 controls) were recruited for meta-analysis. The strongest association was observed between FCGR2B rs1050501 and SLE under the recessive genotypic model of C allele in the overall population (CC vs CT/TT, OR = 1.754, 95%CI: 1.422-2.165, P = 1.61 × 10(-7)) and in Asian population (CC vs CT/TT, OR = 1.784, 95%CI; 1.408-2.261, P = 1.67 × 10(-6)). We also found that FCGR3A rs396991 were significant association with the susceptibility to SLE in overall population in recessive model of T allele (TT vs TG/GG, OR = 1.263, 95%CI: 1.123-1.421, P = 9.62 × 10(-5)). The results also showed that significant association between FCGR2A rs1801274 and SLE under the allelic model in the overall population (OR = 0.879 per A allele, 95%CI: 0.819-0.943, P = 3.31 × 10(-4)). The meta-analysis indicated that FCGR3B copy number polymorphism NA1·NA2 was modestly associated with SLE in overall population (OR = 0.851 per NA1, 95%CI: 0.772-0.938, P = 1.2 × 10(-3)). We concluded that FCGR2B rs1050501 C allele and FCGR3A rs396991 T allele might contribute to susceptibility and development of SLE, and were under recessive association model. While, FCGR2A rs1801274 A allele and FCGR3B NA1 were associated with SLE and reduced the risk of SLE.

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Figures

Figure 1
Figure 1. The process of the articles selected in this meta-analysis.
Figure 2
Figure 2. Forest plot for the meta-analysis of the association between FCGRs polymorphisms and SLE.
(a) FCGR2A rs1801274 and SLE (A vs G); (b) FCGR2B rs1050501 and SLE (CC vs CT/TT); (c) FCGR3A rs396991 and SLE (TT vs TG /GG); (d) FCGR3B NA1·NA2 and SLE (NA1 vs NA2).
Figure 3
Figure 3. Begg’s funnel plot of publication bias in the meta-analysis of the association of FCGRs polymorphisms with SLE risk under allele genetic model.
(a) FCGR2A rs1801274 and SLE (A vs G); (b) FCGR2B rs1050501 and SLE (C vs T); (c) FCGR3A rs396991 and SLE (T vs G); (d) FCGR3B NA1·NA2 and SLE (NA1 vs NA2).
Figure 4
Figure 4. Sensitivity analysis to assess the stability of the meta-analysis.
(a) FCGR2A rs1801274 in SLE; (b) FCGR2B rs1050501 in SLE; (c) FCGR3A rs396991 in SLE; (d) FCGR3B NA1·NA2 in SLE).
See this image and copyright information in PMC

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