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A Meta-analysis of ADIPOQ rs2241766 polymorphism association with type 2 diabetes

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Abstract

Objective

There is extensive research on the association between polymorphisms in the adiponectin gene (ADIPOQ) and type 2 diabetes (T2D). The present meta-analytic study explored the association between ADIPOQ rs2241766 polymorphisms and T2D.

Metolds

Articles were collected by searching Google Scholar, Scopus, and PubMed electronic databases until 2021. They were searched using a systematic search of original and sensitive English keywords and their equivalent keywords based on the keywords “type 2 diabetes”, “ADIPOQ”, and “rs2241766”. The article selection criteria were based on the PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) flow diagram.

Results

The results revealed that there was no bias in this study. Some studies, such as Joshaghani et al. (odds ratio [OR] = 2.18), Hussain et al. (OR = 2.12), Momin (OR = 4.45), and Amal et al. (OR = 1.84), showed an increasing effect of ADIPOQ rs266729 polymorphism on T2D with 95% CI (P ˂ 0.01), while some have shown no significant association between them.

Conclusion

The results of this meta-analytic study showed the relationship between ADIPOQ and rs2241766. Also, it was found that Rs2241766 polymorphism and allele increase the risk, and rs2241766 increases the risk of developing T2D (OR = 1.29).

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Data availability

The raw/processed data required to reproduce these findings cannot be shared at this time due to legal or ethical reasons.

Change history

  • 03 February 2023

    Article has been corrected

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Authors and Affiliations

  1. Department of Biology, Faculty of Basic Sciences, East Tehran Branch, Islamic Azad University, Tehran, Iran

    Yeganeh Hamidi

  2. Department of Biology, Faculty of Converging Sciences and Technologies, Science and Research Branch, Islamic Azad University, Tehran, Iran

    Sahar Saki

  3. Department of Oral Medicine, Semnan University of Medical Sciences, Semnan, Iran

    Elham Sadat Afraz

  4. Department of Pharmacology and Toxicology, Faculty of Pharmacy and Pharmaceutical Sciences, Tehran Medical Sciences, Islamic Azad University, Tehran, Iran

    Sanaz Pashapour

Authors
  1. Yeganeh Hamidi
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  2. Sahar Saki
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  3. Elham Sadat Afraz
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  4. Sanaz Pashapour
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Contributions

Dr. Elham Afraz, Dr. Sanaz Pashapour, Yeganeh Hamidi, and Sahar Saki conducted the research, collected the data, and performed the statistical analysis. Dr. Sanaz Pashapour collaborated in writing and reviewing the processes.

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Correspondence to Sanaz Pashapour.

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Hamidi, Y., Saki, S., Afraz, E.S. et al. A Meta-analysis of ADIPOQ rs2241766 polymorphism association with type 2 diabetes. J Diabetes Metab Disord 21, 1895–1901 (2022). https://doi.org/10.1007/s40200-022-01086-0

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