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Review
. 2021 Mar;24(3):300-313.
doi: 10.1111/1756-185X.14060. Epub 2021 Jan 17.

Effect of mannose-binding lectin gene polymorphisms on the risk of rheumatoid arthritis: Evidence from a meta-analysis

Affiliations
Review

Effect of mannose-binding lectin gene polymorphisms on the risk of rheumatoid arthritis: Evidence from a meta-analysis

Jinjian Xu et al. Int J Rheum Dis. 2021 Mar.

Abstract

Background: The effect of mannose-binding lectin (MBL) gene polymorphisms on susceptibility of rheumatoid arthritis (RA) were evaluated in ethnically different populations, whereas the results were always inconsistent.

Materials and methods: Fourteen articles involving 36 datasets were recruited to evaluate the association between MBL gene polymorphisms and rheumatoid arthritis in a meta-analysis. The random or fixed effect models were used to evaluate the pooled odds ratios (ORs) and their corresponding 95% confidence intervals (CIs).

Results: Stratified analysis by ethnicities was conducted and the result revealed that rs1800450 (T vs C, OR = 1.32, 95% CI: 1.04-1.67, P < .05) and MBL-A/O (T vs C, OR = 1.20, 95% CI: 1.08-1.34, P < .001) were strongly associated with RA in Brazilian populations. In addition, the significant relationship between rs11003125 (T vs C, OR = 1.16, 95% CI: 1.06-1.26, P < .05) with RA were also observed in East Asian populations. Meanwhile, the inverse associations between rs5030737 with RA in East Asians and rs1800450 with RA in Indians were acquired. However, no association between any MBL polymorphism with RA susceptibility was confirmed in Caucasians.

Conclusions: The structural polymorphisms in exon 1 of MBL gene may significantly contribute to susceptibility and development of RA in Brazilian and Indian populations, whereas the functional polymorphisms in the promoter region were more likely to associate with RA in East Asians.

Keywords: mannose-binding lectin; meta-analysis; polymorphism; rheumatoid arthritis.

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Conflict of interest statement

The authors declare they have no competing interests.

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 allele model (T vs C). A, MBL gene polymorphisms and RA in Brazilians. B, MBL gene polymorphisms and RA in Caucasians. C, MBL gene polymorphisms and RA in East Asians. D, MBL gene polymorphisms and RA in Indians
FIGURE 3
FIGURE 3
Forest plot for the meta‐analysis of allele model dominant model (CC vs TT + CT). A, MBL gene polymorphisms and RA in Brazilians. B, MBL gene polymorphisms and RA in Caucasians. C,, MBL gene polymorphisms and RA in East Asians. D, MBL gene polymorphisms and RA in Indians
FIGURE 4
FIGURE 4
Forest plot for the meta‐analysis of recessive model (TT vs CC + CT). A, MBL gene polymorphisms and RA in Brazilians. B, MBL gene polymorphisms and RA in Caucasians. C, MBL gene polymorphisms and RA in East Asians. D, MBL gene polymorphisms and RA in Indians
FIGURE 5
FIGURE 5
Begg's funnel plot of publication bias in the meta‐analysis of the association of MBL gene polymorphisms with RA risk. A, MBL gene polymorphisms and RA in Brazilian. B, MBL gene polymorphisms and RA in Caucasian. C, MBL gene polymorphisms and RA in East Asian. D, MBL gene polymorphisms and RA in Indian
FIGURE 6
FIGURE 6
Sensitivity analysis to assess the stability of the meta‐analysis. A, MBL gene polymorphisms and RA in Brazilian. B, MBL gene polymorphisms and RA in Caucasian. C, MBL gene polymorphisms and RA in East Asian. D, MBL gene polymorphisms and RA in Indian

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