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Genetic Polymorphisms of TCF7L2 Lack Influence on Risk of the Polycystic Ovary Syndrome - a Systemic Analysis

  • Lin, Lin (Department of Gynecology, The First Affiliated Hospital of Xinjiang Medical University) ;
  • Yang, Jing (Department of Gynecology, Xinjiang People's Hospital of Gynecology) ;
  • Ding, Yan (Department of Gynecology, The First Affiliated Hospital of Xinjiang Medical University) ;
  • Wang, Jing (Department of Gynecology, The First Affiliated Hospital of Xinjiang Medical University) ;
  • Ting, Liu (Department of Gynecology, The First Affiliated Hospital of Xinjiang Medical University)
  • Published : 2014.04.01

Abstract

Background: The results of previous researches that analyzed the association between genetic polymorphisms of transcription factor-7-like 2 (TCF7L2, rs7903146) and polycystic ovary syndrome (PCOS) were conflicting. Current systematic analysis was conducted to re-explore this association using updated materials. Materials and Methods: The PubMed database was used for data collection and the final search was conducted on January 3, 2014. For TCF7L2 rs7903146, a non-signficiant slight increase in risk of PCOS development was observed under three genetic models (dominant model: OR=1.06, 95%CI: 0.93-1.21, p>0.05; recessive model: OR=1.12, 95%CI: 0.87-1.43, p> 0.05; homozygous model: OR=1.14, 95%CI: 0.87-1.47, p>0.05). In the subgroup analyses in Asian group, allele susceptibility of PCOS was calculated (allele model: OR=1.00, 95%CI: 0.74-1.35, p>0.05; dominant model: OR=0.98, 95%CI: 0.71-1.35, p>0.05; recessive model: OR=1.79, 95%CI: 0.33-9.84, p>0.05; homozygous model: OR=1.78, 95%CI: 0.32-9.80, p>0.05), the differences were again not statistically significant. Conclusions: The findings of this systemic analysis suggest that the polymorphism of TCF7L2 rs7903146 may not be associated with the susceptibility to PCOS.

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References

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  1. Association between rs7903146 and rs12255372 polymorphisms of transcription factor 7-like 2 gene and polycystic ovary syndrome: a systematic review and meta-analysis vol.49, pp.3, 2015, https://doi.org/10.1007/s12020-015-0541-x
  2. Genetics of polycystic ovary syndrome vol.17, pp.7, 2017, https://doi.org/10.1080/14737159.2017.1340833