Volume 35, Issue 1 (1-2021)                   Med J Islam Repub Iran 2021 | Back to browse issues page

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Harati-Sadegh M, Sargazi S, Taheri H, Arbabi N, Saravani R, Mirinejad S. Relationship between common interleukin 1-beta gene polymorphisms and the risk of gestational disorders: An updated meta-analysis. Med J Islam Repub Iran. 2021; 35 (1) :178-187
URL: http://mjiri.iums.ac.ir/article-1-6611-en.html
Cellular and Molecular Research Center, Resistant Tuberculosis Institute, Zahedan University of Medical Sciences, Zahedan, Iran , sgz.biomed@zaums.ac.ir
Abstract:   (474 Views)
Background: To quantitatively estimate the relationship between IL‐1β -511C>T, −31T>C, and +3954C>T polymorphisms and risk of gestational disorders.
   Methods: In this meta-analysis, eligible publications were searched in Web of Knowledge, MEDLINE, PubMed, Scopus, and Google Scholar databases (updated April 2020), using appropriate or relevant keywords. Case-control population-based reports were included if provided with genotypic frequencies of both studied groups. Statistical analyses were performed using the MetaGenyo web tool software, where a P value less than 0.05 indicated a significant association. For the assessment of between-study variations, heterogeneity analysis was applied with the I² statistics.
   Results: A total of thirteen studies were included. We observed a significant association between IL‐1β−31T>C polymorphism and reduced risk of gestational disorders under codominant CT vs. CC [OR= 0.74, CI (0.59-0.92)], and dominant CT+TT vs. CC [OR= 0.74, CI (0.60-0.91)] contrasted genetic models. The stratified analysis considering the disease type showed that the 511C>T variant, under the recessive CC vs. CT+TT model, enhanced the risk of preterm birth by 1.29 fold.
   Conclusion: Our results failed to support an association between two IL‐1β polymorphisms, 511C>T and +3954C>T, with the overall risk of gestational disorders. In contrast, the 31T>C variant reduced the incidence of such diseases. Further studies are encouraged to get more precise estimates of effect sizes.
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Type of Study: Review Article | Subject: Human Genetics

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