Volume 26, Issue 7 (10-2019)
RJMS 2019, 26(7): 1-9 |
Back to browse issues page
Download citation:
BibTeX | RIS | EndNote | Medlars | ProCite | Reference Manager | RefWorks
Send citation to:
BibTeX | RIS | EndNote | Medlars | ProCite | Reference Manager | RefWorks
Send citation to:
Shahsavari R, keshavarzi F. Allelic frequency of rs2070150 polymorphism in patients with type 2 diabetes in a population of Kurdistan province. RJMS 2019; 26 (7) :1-9
URL: http://rjms.iums.ac.ir/article-1-5689-en.html
URL: http://rjms.iums.ac.ir/article-1-5689-en.html
Islamic Azad University, Sanandaj, Iran , fkeshavarzi@iausdj.ac.ir
Abstract: (2871 Views)
Background: Type 2 diabetes is a metabolic disorder. Various genetic locations play a role in susceptibility to this disease, including those in the ATF6 (Activating transcription factor. The aim of this study was to investigate the correlation between ATF6 polymorphism (rs2070150) and type 2 diabetes mellitus in patients with type 2 diabetes in Kurdistan.
Methods: The present study is a case-control study. A total of 200 blood samples 100 healthy individuals and 100 diabetic patients (age and gender matched)) from the cities of Kurdistan province were screening for ATF6 (rs2070150) polymorphism by Tetra-ARMs PCR method. The obtained data were analyzed using SPSS software and chi-square test.
Results: The results showed that 4, 12 and 84 patients, and 3, 26 and 71 healthy controls, respectively, had CC, CG and GG genotypes.
Conclusion: GC (%42) Genotype in studied population is a risk factor for type 2 diabetes (p=0.041).
Methods: The present study is a case-control study. A total of 200 blood samples 100 healthy individuals and 100 diabetic patients (age and gender matched)) from the cities of Kurdistan province were screening for ATF6 (rs2070150) polymorphism by Tetra-ARMs PCR method. The obtained data were analyzed using SPSS software and chi-square test.
Results: The results showed that 4, 12 and 84 patients, and 3, 26 and 71 healthy controls, respectively, had CC, CG and GG genotypes.
Conclusion: GC (%42) Genotype in studied population is a risk factor for type 2 diabetes (p=0.041).
References
2. 1. McCarthy MI. Genomics, type 2 diabetes, and obesity. N Engl J Med; 2010.363:2339–50.
3. 2. International Diabetes Federation, IDF Diabetes Atlas, Sixth Edition 2013.
4. 3. Hossain P, Kawar BEl, Nahas M. Obesity and diabetes in the developing world–a growing challenge. N Engl J Med; 2007.356:213–5.
5. 4. Demirsoy Hİ, Ertural YD, Balci S, Çınkır Ü, Sezer K, Tamer L, et al. Profiles of circulating miRNAs following metformin treatment in patients with type 2 diabetes. J Med Biochem; 2018.237:502–9.
6. 5. Scherag A, Dina C, Hinney A, Vatin V, Scherag S, Vogel CI, et al. Two new Loci for body-weight regulation identi- fied in a joint analysis of genome-wide association stud- ies for early-onset extreme obesity in French and german study groups. PLoS Genet; 2010.6:e1000916.
7. 6. Graff M, Gordon-Larsen P, Lim U, Fowke JH, Love SA, Fesinmeyer M, et al. The influence of obesity-related sin- gle nucleotide polymorphisms on BMI across the life course: the PAGE study. Diabetes; 2013.62:1763–7.
8. 7. Winston S, Swapan D, Hua W, Juliana C, Panos D, Philippe F, et al. Activating Transcription Factor 6 (ATF6) Sequence Polymorphisms in Type 2 Diabetes and Pre-Diabetic Traits. Diabetes J; 2007.56(9):45-56.
9. 8. Shuda M, Kondoh N, Imazeki N. Activation of the ATF6, XBP1 and grp78 genes in human hepatocellular carcinoma: a possible involvement of the ER stress pathway in hepatocarcinogenesis. J Hepatol; 2003.38:605–14.
10. 9. Xiao S, Zeng X, Fan Y, Su Y, Ma Q, Zhu J, et al. Gene Polymorphism Association with Type 2 Diabetes and Related Gene-Gene and Gene-Environment Interactions in a Uyghur Population. Med Sci Monit; 2016. 22: 474– 87.
11. 10. Thameem F, Farook VS, Bogardus C, ProchazkaM. Association of Amino Acid Variants in the Activating Transcription Factor 6 Gene (ATF6) on 1q21-q23 With Type 2 Diabetes in Pima Indians, Diabetes J; 2008.55:839-842.
12. 11. Meyre D, Delplanque J, Chevre JC, Lecoeur C, Lobbens S, Gallina S, et al. Genome-wide association study for early-onset and morbid adult obesity identifies three new risk loci in European populations. Nat Genet; 2009.41:157–9.
13. 12. Wu X, Xin Z, Zhang W. A missense polymorphism in ATF6 gene is associated with susceptibility to hepatocellular carcinoma probably by altering ATF6 level. Int J Cancer; 2010.135:61–68.
14. 13. Almawi WY, Nemr R, Keleshian SH, Echtay A, Saldanha FL, Al-Doseri FA, et al. A replication study of 19 GWAS- validated type 2 diabetes at-risk variants in the Lebanese population. Diabetes Res Clin Pract; 2013.102:117–22.
15. 14.Wu J, Xu J, Zhang Z, Ren J, Li Y, Wang J, et al. Association of FTO polymorphisms with obesity and metabolic parameters in Han Chinese adolescents. PLoS One; 2014. 9: e98984.
16. 15. Hu C, Zhang R, Wang C, Ma X, Wang J. Lack of association between genetic polymorphisms within DUSP12-ATF6 locus and glucose metabolism related traits in a Chinese population. BMC Med Gene; 2011.12:3-8.
17. 16. Steven JR, Meex MJ, van Greevenbroek. Activating Transcription Factor 6 Polymorphisms and Haplotypes Are Associated with Impaired Glucose Homeostasis and Type 2 Diabetes in Dutch Caucasians. J Clin Endocrinol Metabol; 2007.92(7):2720–272.
18. 17. Cheung CY, Tso AW, Cheung BM, Xu A, Ong KL, Law LS, et al. Genetic variants associated with persistent cen- tral obesity and the metabolic syndrome in a 12-year lon- gitudinal study. Eur J Endocrinol; 2011.164:381–8.
Send email to the article author
| Rights and permissions | |
 |
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License. |
