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Impact of rs16928751 (+795 G/A) SNP in Adiponectin Receptor 2 on Type 2 Diabetes Risk in an Iraqi Population: A Case-Control Study

Aseel J. Kadim1
1Department of Biology, College of Education for Pure Science, University of Diyala, Iraq
DOI: https://doi.org/10.70517/revcc2624150
Published: 13/10/2026
: Aseel J. Kadim. Impact of rs16928751 (+795 G/A) SNP in Adiponectin Receptor 2 on Type 2 Diabetes Risk in an Iraqi Population: A Case-Control Study. Revista Cultura Científica, 2026 Issue 24. pg. 1804-1812.

Abstract

Adiponectin receptor 2 (ADIPOR2) contributes to adiponectin-mediated glucose and lipid metabolism. This case–control study investigated whether the ADIPOR2 single-nucleotide polymorphism (SNP) rs16928751 (+795 G/A) was associated with type 2 diabetes mellitus (T2DM) in an Iraqi study population. The study included 48 patients with T2DM and 32 controls. Genomic DNA was amplified by conventional polymerase chain reaction and analyzed by Sanger sequencing; fasting blood glucose (FBG) and glycated hemoglobin (HbA1c) were also measured. Genotype and allele frequencies were compared using categorical tests, while Hardy–Weinberg equilibrium was evaluated separately for each group. HbA1c and FBG were significantly higher in patients with T2DM than in controls (reported p-values below 0.001). The GG genotype occurred in 75.00% of patients and 78.12% of controls, the GA genotype in 18.75% of both groups, and the AA genotype in 6.25% and 3.13%, respectively. The A allele was observed in 15.63% of patient alleles and 12.50% of control alleles (reported odds ratio [OR] = 1.30; 95% confidence interval [CI]: 0.52–3.26). The AA genotype showed a numerically higher odds ratio (OR = 2.07; 95% CI: 0.21–20.80), whereas the GA genotype showed no increase in the reported estimate (OR = 1.00; 95% CI: 0.32–3.15). None of the reported genotype or allele comparisons reached statistical significance; similarly, the dominant (OR = 1.19) and recessive (OR = 2.07) model comparisons were not statistically significant. The findings therefore do not establish an association between rs16928751 and T2DM in this sample, although the confidence intervals are wide and do not exclude potentially meaningful effects. Larger, adequately powered investigations incorporating additional demographic and metabolic covariates are needed to clarify the possible contribution of this variant to T2DM susceptibility in Iraqi populations.

Keywords: adiponectin receptor 2, fasting blood sugar, polymorphism, type 2 diabetes mellitus

Abstract

Adiponectin receptor 2 (ADIPOR2) contributes to adiponectin-mediated glucose and lipid metabolism. This case–control study investigated whether the ADIPOR2 single-nucleotide polymorphism (SNP) rs16928751 (+795 G/A) was associated with type 2 diabetes mellitus (T2DM) in an Iraqi study population. The study included 48 patients with T2DM and 32 controls. Genomic DNA was amplified by conventional polymerase chain reaction and analyzed by Sanger sequencing; fasting blood glucose (FBG) and glycated hemoglobin (HbA1c) were also measured. Genotype and allele frequencies were compared using categorical tests, while Hardy–Weinberg equilibrium was evaluated separately for each group. HbA1c and FBG were significantly higher in patients with T2DM than in controls (reported p-values below 0.001). The GG genotype occurred in 75.00% of patients and 78.12% of controls, the GA genotype in 18.75% of both groups, and the AA genotype in 6.25% and 3.13%, respectively. The A allele was observed in 15.63% of patient alleles and 12.50% of control alleles (reported odds ratio [OR] = 1.30; 95% confidence interval [CI]: 0.52–3.26). The AA genotype showed a numerically higher odds ratio (OR = 2.07; 95% CI: 0.21–20.80), whereas the GA genotype showed no increase in the reported estimate (OR = 1.00; 95% CI: 0.32–3.15). None of the reported genotype or allele comparisons reached statistical significance; similarly, the dominant (OR = 1.19) and recessive (OR = 2.07) model comparisons were not statistically significant. The findings therefore do not establish an association between rs16928751 and T2DM in this sample, although the confidence intervals are wide and do not exclude potentially meaningful effects. Larger, adequately powered investigations incorporating additional demographic and metabolic covariates are needed to clarify the possible contribution of this variant to T2DM susceptibility in Iraqi populations.

Keywords: adiponectin receptor 2, fasting blood sugar, polymorphism, type 2 diabetes mellitus
  1. Al-Janabi, Nourhan Sabah Abdulhafez, and Haider Farhan Salman Al-Zubaidy. “The Association of Single Nucleotide Polymorphism (+1893CC/AA) of INPPL1 Gene with Type 2 Diabetes Mellitus in AL-Najaf Population.” Thi-Qar Medical Journal, vol. 28, no. 2, 2024, pp. 117–125.

  2. Abdulhameed, Luay Qasim, et al. “Homocysteine: A Recent Potential Risk Factor for Type 2 Diabetes Mellitus Patients in Diyala Province.” AIP Conference Proceedings, vol. 2808, 2023, article 050004.

  3. DeFronzo, Ralph A., et al. “Type 2 Diabetes Mellitus.” Nature Reviews Disease Primers, vol. 1, 2015, article 15019. https://doi.org/10.1038/nrdp.2015.19.

  4. Kamel, Marwa Mostafa, et al. “The Clinical Significance of Insulin Resistance Related Autophagy Gene in T2DM.” Ain Shams Medical Journal, vol. 70, nos. 4–6, 2019, pp. 361–369.

  5. International Diabetes Federation. IDF Diabetes Atlas. 11th ed., International Diabetes Federation, 2025. https://www.ncbi.nlm.nih.gov/books/NBK616525/.

  6. Mustafa, Ahmad K., et al. “Adiponectin in Type II Diabetes Mellitus.” The Medical Journal of Cairo University, vol. 89, no. 3, 2021, pp. 1025–1028.

  7. Hussein, Mohammed Mezher. “Relationship among Vitamin D3 and Adiponectin and Body Mass Index in Diabetes Mellitus Type 2 Patients.” Journal of Bioscience and Applied Research, vol. 11, no. 1, 2025, pp. 1–8.

  8. Ooda, Said A., et al. “Assessment of the Association of the Adiponectin Gene Single-Nucleotide Polymorphism 45T/G with Type 2 Diabetes Mellitus in Egyptian Diabetic Patients.” Egyptian Journal of Obesity, Diabetes and Endocrinology, vol. 2, no. 1, 2016, pp. 23–30.

  9. Damcott, Coleen M., et al. “Genetic Variation in Adiponectin Receptor 1 and Adiponectin Receptor 2 Is Associated with Type 2 Diabetes in the Old Order Amish.” Diabetes, vol. 54, no. 7, 2005, pp. 2245–2250. https://doi.org/10.2337/diabetes.54.7.2245.

  10. National Center for Biotechnology Information. “ADIPOR2 adiponectin receptor 2 (Homo sapiens).” NCBI Gene, Gene ID 79602, https://www.ncbi.nlm.nih.gov/gene/79602. Accessed 12 October 2026.

  11. Namvaran, Fatemeh, et al. “Distribution and Genotype Frequency of Adiponectin (+45 T/G) and Adiponectin Receptor2 (+795 G/A) Single Nucleotide Polymorphisms in Iranian Population.” Gene, vol. 486, nos. 1–2, 2011, pp. 97–103. https://doi.org/10.1016/j.gene.2011.07.009.

  12. Namvaran, Fatemeh, et al. “Polymorphism of Adiponectin (45T/G) and Adiponectin Receptor-2 (795G/A) in an Iranian Population: Relation with Insulin Resistance and Response to Treatment with Pioglitazone in Patients with Type 2 Diabetes Mellitus.” Molecular Biology Reports, vol. 39, no. 5, 2012, pp. 5511–5518. https://doi.org/10.1007/s11033-011-1354-5.

  13. Potapov, Viktor A., et al. “Adiponectin and Adiponectin Receptor Gene Variants in Relation to Type 2 Diabetes and Insulin Resistance-Related Phenotypes.” The Review of Diabetic Studies, vol. 5, no. 1, 2008, pp. 28–37.

  14. Shramko, Iuliana, et al. “Polymorphism in Adiponectin and Adiponectin Receptor Genes in Diabetes Mellitus Pathogenesis.” Pathophysiology, vol. 29, no. 1, 2022, pp. 81–91. https://doi.org/10.3390/pathophysiology29010008.

  15. Młynarska, Ewelina, et al. “Type 2 Diabetes Mellitus: New Pathogenetic Mechanisms, Treatment and the Most Important Complications.” International Journal of Molecular Sciences, vol. 26, no. 3, 2025, article 1094.

  16. Kautzky-Willer, Alexandra, Michael Leutner, and Jürgen Harreiter. “Sex Differences in Type 2 Diabetes.” Diabetologia, vol. 66, no. 6, 2023, pp. 986–1002.

  17. Johnson, Meredith L., et al. “Sex Differences in Type 2 Diabetes: An Opportunity for Personalized Medicine.” Biology of Sex Differences, vol. 14, 2023, article 88.

  18. Romero-Rosales, José Antonio, et al. “Integrated Modeling of Labile and Glycated Hemoglobin with Glucose for Enhanced Diabetes Detection and Short-Term Monitoring.” iScience, vol. 27, no. 4, 2024, article 109369.

  19. Sherwani, Shariq I., et al. “Significance of HbA1c Test in Diagnosis and Prognosis of Diabetic Patients.” Biomarker Insights, vol. 11, 2016, pp. 95–104.

  20. Antwi-Baffour, Samuel, et al. “Comparative Analysis of Glycated Haemoglobin, Fasting Blood Glucose and Haematological Parameters in Type-2 Diabetes Patients.” BMC Research Notes, vol. 16, 2023, article 256.

  21. Tao, Xue, et al. “Predicting Three-Month Fasting Blood Glucose and Glycated Hemoglobin Changes in Patients with Type 2 Diabetes Mellitus Based on Multiple Machine Learning Algorithms.” Scientific Reports, vol. 13, 2023, article 16437.

  22. Siitonen, Niina, et al. “Association of ADIPOR2 Gene Variants with Cardiovascular Disease and Type 2 Diabetes Risk in Individuals with Impaired Glucose Tolerance: The Finnish Diabetes Prevention Study.” Cardiovascular Diabetology, vol. 10, 2011, article 83. https://doi.org/10.1186/1475-2840-10-83.

  23. Khodyrev, Dmitry S., et al. “Association of Polymorphisms of the ADIPOQ, ADIPOR1 and ADIPOR2 Genes with Type 2 Diabetes Mellitus.” Diabetes Mellitus, vol. 18, no. 2, 2015, pp. 5–11. https://doi.org/10.14341/DM201525-11.

Aseel J. Kadim
Department of Biology, College of Education for Pure Science, University of Diyala, Iraq
bioe.aseel.jwad@uodiyala.edu.iq

How to cite:

Aseel J. Kadim. Impact of rs16928751 (+795 G/A) SNP in Adiponectin Receptor 2 on Type 2 Diabetes Risk in an Iraqi Population: A Case-Control Study. Revista Cultura Científica, 2026 Issue 24. pg. 1804-1812.

Publication History

  • Received: 10/07/2026
  • Accepted: 29/09/2026
  • Published: 13/10/2026
Copyright © 2026, Aseel J. Kadim. Published by Revista Cultura Científica. This article is published as open access under the Creative Commons Attribution 4.0 International (CC BY 4.0) license (http://creativecommons.org/licenses/by/4.0/).

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