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Meta-Analysis
. 2019 Nov;41(1):987-994.
doi: 10.1080/0886022X.2019.1673775.

Aryl hydrocarbon receptor rs2066853 gene polymorphisms and male infertility risk: a meta-analysis

Zheng-Ju Ren  1 , DeHong Cao  1 , Peng-Wei Ren  2 , Bo Yang  1 , Dong-Liang Lu  1 , Jian Liao  1 , Sheng-Zhuo Liu  1 , Lu-Cheng Yang  1 , Zhu-Feng Peng  1 , Liang-Ren Liu  1 , Qiang Dong  1
Affiliations
Meta-Analysis

Aryl hydrocarbon receptor rs2066853 gene polymorphisms and male infertility risk: a meta-analysis

Zheng-Ju Ren et al. Ren Fail. 2019 Nov.

Abstract

To evaluate the relationship between the aryl hydrocarbon receptor (AHR) rs2066853 gene polymorphism and the risk of male infertility. PubMed, Embase, Web of Science, and Chinese National Knowledge Infrastructure (CNKI) were searched for relevant case-control studies up to 31 July 2019. Odds ratio (OR) and 95% confidence interval (95% CI) were used to assess the strength of associations. Finally, seven case-control studies involving 1247 cases and 1762 controls were included in this meta-analysis. The pooled results showed that there was no significant association between AHR rs2066853 gene polymorphism and male infertility risk (A vs. G: OR = 1.08, 95% CI = 0.83-1.39; AA vs. GG: OR = 1.16, 95% CI = 0.65-2.04; AA vs. GA + GG: OR = 1.17, 95% CI = 0.66-2.07; AA + GA vs. GG: OR = 0.99, 95% CI = 0.85-1.15). Subgroup analysis by ethnicity showed the same result. However, significant association was found between AHR rs2066853 gene polymorphism and male infertility risk in oligoasthenotspermia (A vs. G: OR = 2.52, 95% CI = 1.72-3.70). In conclusion, our meta-analysis indicated that AHR rs2066853 gene polymorphism might be associated with an increased susceptibility to oligoasthenotspermia.

Keywords: AHR gene; Aryl hydrocarbon receptor; male infertility; meta-analysis; polymorphism.

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Figures

Figure 1.
Figure 1.
Flowchart of the study selection procedure.
Figure 2.
Figure 2.
Forest plot of the studies assessing the association between AHR rs2066853 gene polymorphisms and male infertility based on allelic model (allele model: A vs. G).
Figure 3.
Figure 3.
Forest plot of the studies assessing the association between AHR rs2066853 gene polymorphisms and male infertility based on additive model (additive model: AA vs. GG).
Figure 4.
Figure 4.
Forest plot of the studies assessing the association between AHR rs2066853 gene polymorphisms and male infertility based on recessive model (recessive model: AA vs. GG + GA).
Figure 5.
Figure 5.
Forest plot of the studies assessing the association between AHR rs2066853 gene polymorphisms and male infertility based on dominant model (dominant model: AA + GA vs. GG).
Figure 6.
Figure 6.
Funnel plot of the studies assessing the association between AHR rs2066853 gene polymorphisms and male infertility (allele model: A vs. G; additive model: AA vs. GG; recessive model: AA vs. GG + GA; dominant model: AA + GA vs. GG).
Figure 7.
Figure 7.
Sensitivity analysis diagram for each study used to assess the relative risk estimates for the AHR rs2066853 gene polymorphisms and male infertility in all the included studies (allele model: A vs. G; additive model: AA vs. GG; recessive model: AA vs. GG + GA; dominant model: AA + GA vs. GG).
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