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ORIGINAL RESEARCH article

Front. Clin. Diabetes Healthc.
Sec. Diabetes Clinical Epidemiology
Volume 6 - 2025 | doi: 10.3389/fcdhc.2025.1494128

POLYMORPHIC VARIANTS IN DOCK7, ABCG8, UBE2E2, AND SYN2 GENES ASSOCIATED WITH TYPE 2 DIABETES IN THE UZBEK POPULATION

Provisionally accepted
Darya Zakirova Darya Zakirova 1*Alisher Abdullaev Alisher Abdullaev 1Dilbar Dalimova Dilbar Dalimova 1Elina Aguryanova Elina Aguryanova 1Fazliddin Khonboev Fazliddin Khonboev 1Nodira Alikhanova Nodira Alikhanova 2Feruza Takhirova Feruza Takhirova 2
  • 1 Center for Advanced Technologies, Ministry of Innovative Development of Uzbekistan, Tashkent, Uzbekistan
  • 2 Republican Specialized Scientific-Practical Medical center of Endocrinology, Ministry of Health (Uzbekistan), Tashkent, Uzbekistan

The final, formatted version of the article will be published soon.

    Background: Diabetes is a leading cause of death, affecting nearly half a billion adults worldwide. With projections indicating a significant increase in prevalence, understanding the genetic factors contributing to diabetes, particularly type 2, is crucial.Methods: This study investigated the association of specific polymorphisms with type 2 diabetes in the Uzbek population. A total of 165 individuals, including 125 patients with type 2 diabetes and 40 controls, were genotyped for variants located in the DOCK7, ABCG8, UBE2E2, SYN2, HNF1A and IGF2BP2 genes using real-time polymerase chain reaction.Results: The analysis revealed significant associations between these polymorphisms and type 2 diabetes under various genetic models. The distribution of genotype frequencies was consistent with the Hardy-Weinberg equilibrium.Conclusion: The findings underscore the importance of ethnic and geographical diversity in genetic studies and contribute to the understanding of type 2 diabetes in the Uzbek population. Further research is needed to explore the clinical implications of these genetic associations.

    Keywords: type 2 diabetes, uzbek population, Rs4299376, rs6780569, rs7616006, rs12749263, rs7957197, rs4402960

    Received: 12 Sep 2024; Accepted: 04 Feb 2025.

    Copyright: © 2025 Zakirova, Abdullaev, Dalimova, Aguryanova, Khonboev, Alikhanova and Takhirova. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

    * Correspondence: Darya Zakirova, Center for Advanced Technologies, Ministry of Innovative Development of Uzbekistan, Tashkent, Uzbekistan

    Disclaimer: All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.