COMPARATIVE ANALYSIS OF GENES ASSOCIATED WITH OBESITY IN HUMANS USING BIOINFORMATIC DATA AND TOOLS
Musliji ZS1, Pollozhani AK1, Lisichkov K2, Deligios M3, Popovski ZT2,4,*
*Corresponding Author: Professor Zoran T. Popovski, Ph.D., Department of Biochemistry and Genetic Engineering, Faculty of Agriculture and Food Sciences, Bld “Aleksandar Makedonski,” bb PB 297, 1000 Skopje, Republic of North Macedonia. Tel: +389-70-252-731. Fax: +389-2-3134-310. E-mail: zoran_ popovski@yahoo.com
page: 35

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1. Singh R, Kumar P, Mahalingam K. Molecular genetics of human obesity: A comprehensive review. C R Biol. 2017; 340(2): 87-108. 2. Herrera BM, Lindgren CM. The genetics of obesity. Curr Diab Rep. 2010; 10(6): 498-505. 3. Shabana, Ullah Shahid S, Hasnain S. Identification of genetic basis of obesity and mechanistic link of genes and lipids in Pakistani population. Biosci Rep. 2018; 38(4): BSR20180281. 4. Osman MM, Khalifa AS, Mutasim AEY, Massaadd SO, Gasemelseed MM, Abdagader MA, et al. In silico analysis of single nucleotide polymorphisms (Snps) in human FTO gene. JSM Bioinform Genomics Proteomics. 2016; 1(1): 1-13. 5. Ali AT, Crowther NJ. Factors predisposing to obesity: A review of the literature. S Afr Fam Pract. 2010; 52(3): 193-197. 6. Zhao J, Grant SFA. Genetics of childhood obesity. J Obes. 2011; 2011: 845148.PAGE 7. Pevsner J. Bioinformatics and Functional Genomics, 3rd ed. Hoboken, NJ, USA: Wiley-Blackwell, Press; 2015. 8. Mehmood MA, Sehar U, Ahman N. Use of bioinformatics tools in different spheres of life sciences. J Data Mining Genomics Proteomics. 2014; 5(2): 158. 9. Appa Rao A, Tayaru N, Thota H, Babu Changalasetty S, Saroja Thota L, Gedela S. Bioinformatic analysis of functional proteins involved in obesity associated with diabetes. Int J Biomed Sci. 2008; 4(1): 70-73. 10. Abdella. Bioinformatics analyses of some functional genes and proteins involved in obesity-induces type 2 diabetes. Am J Bioinform. 2012; 1(2): 87-98. 11. National Center for Biotechnology Information. Available at: https://www.ncbi.nlm.nih.gov/. Accessed August 20, 2020. 12. Hall BG. Building phylogenetic trees from molecular data with MEGA. Mol Biol Evol. 2013; 30(5): 1229- 1235. 13. Saitou N, Nei M. The neighbor-joining method: A new method for reconstructing phylogenetic trees. Mol Biol Evol. 1987; 4(4): 406-425. 14. Tamura K, Nei M, Kumar S. Prospects for inferring very large phylogenies by using the neighbor-joining method. Proc Natl Acad Sci USA. 2004; 101(30): 11030-11035. 15. Huang Q, Ma C, Chen L, Luo D, Chen R, Liang F. Mechanistic insights into the interaction between transcription factors and epigenetic modifications and the contribution to the development of obesity. Front Endocrinol (Lausanne). 2018; 9: 370.



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