Identification and use of polymorphisms to predict possibility in type II diabetes mellitus family using RAPD method
Abstract
Type II diabetes mellitus (T2D) is a genetic disorder that becomes an unsolved problem. This is because T2D can be a disorder caused by lifestyle changes and is inherited from parents. This study aimed to determine the polymorphism that distinguishes between T2D and non T2D patients and the result was predicted to the families that has T2D record. The model in this research was descriptive exploratory and consists of 80 samples (30 samples positive T2D, 30 non DM samples and the others are the member of 5 families). Firstly, the analysis was focused on determining differences in polymorphisms and then the results were applied to the 3 families of T2D using A10 Primer. Difference polymorphism was analyzed using chi-square (cl: 95%). Six bands were obtained from PCR-RAPD which a significantly different band at 997 bp. Analysis of T2D has confirmed that 5 families have a clue band. Based on the analysis this report can be used to screen the possibility of someone to have DM type 2.
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2. Pititto B de A, Ferreira SRG. Diabetes and covid-19: more than the sum of two morbidities. Rev Saude Publica. 2020;54:54. doi:10.11606/s1518-8787.2020054002577
3. Hu FB. Globalization of diabetes: The role of diet, lifestyle, and genes. Diabetes Care. 2011;34(6):1249-1257. doi:10.2337/dc11-0442
4. Bertram MY, Sweeny K, Lauer JA, et al. Investing in non-communicable diseases: an estimation of the return on investment for prevention and treatment services. Lancet. 2018;391(10134):2071-2078. doi:10.1016/S0140-6736(18)30665-2
5. Martín-Timón I. Type 2 diabetes and cardiovascular disease: Have all risk factors the same strength? World J Diabetes. 2014;5(4):444. doi:10.4239/wjd.v5.i4.444
6. Bruhn-Olszewska B, Korzon-Burakowska A, Gabig-Cimińska M, Olszewski P, Wegrzyn A, Jakóbkiewicz-Banecka J. Molecular factors involved in the development of diabetic foot syndrome. Acta Biochim Pol. 2012;59(4):507-513.
7. Chen J, Meng Y, Zhou J, et al. Identifying candidate genes for type 2 diabetes mellitus and obesity through gene expression profiling in multiple tissues or cells. J Diabetes Res. 2013;2013. doi:10.1155/2013/970435
8. Ingelsson E, McCarthy MI. Human Genetics of Obesity and Type 2 Diabetes Mellitus: Past, Present, and Future. Circ Genomic Precis Med. 2018;11(6):e002090. doi:10.1161/CIRCGEN.118.002090
9. Ali O. Genetics of type 2 diabetes. Pediatr Diabetes. 2013;4(4):114-123. doi:10.1111/pedi.12597
10. Yu J. Genetics in Diabetes Mellitus - Contribution to the Classification and Management. Ann Pediatr Endocrinol Metab. 2013;17(4):211. doi:10.6065/apem.2012.17.4.211
11. Bonnefond A, Froguel P. Rare and common genetic events in type 2 diabetes: What should biologists know? Cell Metab. 2015;21(3):357-368. doi:10.1016/j.cmet.2014.12.020
12. L. Sheng, M. Christopher AM. 乳鼠心肌提取 HHS Public Access. Physiol Behav. 2016;176(1):100–106. doi:10.1016/j.gde.2016.03.011
13. Hu C, Jia W. Diabetes in China: Epidemiology and genetic risk factors and their clinical utility in personalized medication. Diabetes. 2018;67(1):3-11. doi:10.2337/dbi17-0013
14. Asif M. The prevention and control the type-2 diabetes by changing lifestyle and dietary pattern. J Educ Health Promot. 2014;3(1):1. doi:10.4103/2277-9531.127541
15. Guariguata L, Whiting DR, Hambleton I, Beagley J, Linnenkamp U, Shaw JE. Global estimates of diabetes prevalence for 2013 and projections for 2035. Diabetes Res Clin Pract. 2014;103(2):137-149. doi:10.1016/j.diabres.2013.11.002
16. Mobasherizadeh S, Shojaei H, Havaei SA, et al. Application of the Random Amplified Polymorphic DNA (RAPD) Fingerprinting to Analyze Genetic Variation in Community Associated-Methicillin Resistant Staphylococcus Aureus (CA-MRSA) Isolates in Iran. Glob J Health Sci. 2015;8(8):185. doi:10.5539/gjhs.v8n8p185
17. Rapd-pcr PDNA, Zahid, R. A., Sulaiman, B. K., & Abd BA. Molecular Investigation of Genetic Polymorphisms. Iraqi J Cancer Med Genet. 2011;4(2):47-54.
18. Dhawan D, Chaudhary S. Prenatal Screening for Co-Inheritance of Sickle Cell Anemia and β-Thalassemia Traits. Clin Med Biochem Open Access. 2016;02(01):2-4. doi:10.4172/2471-2663.1000108
19. Joshi SR, Parikh RM. Family History and Pedigree Charting — A Simple Genetic Tool for Indian Diabetics. :437-439.
20. Ellard S, Bellanné-Chantelot C, Hattersley AT, et al. Best practice guidelines for the molecular genetic diagnosis of maturity-onset diabetes of the young. Diabetologia. 2008;51(4):546-553. doi:10.1007/s00125-008-0942-y
21. Shields BM, Hicks S, Shepherd MH, Colclough K, Hattersley AT, Ellard S. Maturity-onset diabetes of the young (MODY): How many cases are we missing? Diabetlogia. 2010;53(12):2504-2508. doi:10.1007/s00125-010-1799-4
22. Prasad RB, Groop L. Genetics of type 2 diabetes—pitfalls and possibilities. Genes (Basel). 2015;6(1):87-123. doi:10.3390/genes6010087
23. Mkada-Driss I, Lahmadi R, Chakroun AS, et al. Screening and characterization of RAPD markers in viscerotropic Leishmania parasites. PLoS One. 2014;9(10). doi:10.1371/journal.pone.0109773
24. Ekoe JM, Goldenberg R, Katz P. 2018 Clinical Practice Guidelines - Screening for Diabetes in Adults Diabetes Canada. Can J Diabetes. 2018;42:S109-S114. doi:10.1016/j.jcjd.2017.10.013
25. Zahid RA, Sulaiman BK, Abd, Ahmed B. Molecular Investigation of Genetic Polymorphisms. Iraqi J Cancer Med Genet. 2011;(2):47-54.
26. Spanakis EK, Golden SH. Race/ethnic difference in diabetes and diabetic complications. Curr Diab Rep. 2013;13(6):814-823. doi:10.1007/s11892-013-0421-9
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