Comparative analysis of genes associated with obesity in humans using bioinformatic data and tools

1Singh R, Kumar P, Mahalingam K. Molecular genetics of human obesity: A comprehensive review. CR Biol. 2017; 340(2): 87-108.Singh R Kumar P Mahalingam K Molecular genetics of human obesity: A comprehensive review CR Biol 2017 340 2 87 10810.1016/j.crvi.2016.11.00728089486Search in Google Scholar

2Herrera BM, Lindgren CM. The genetics of obesity. Curr Diab Rep. 2010; 10(6): 498-505.Herrera BM Lindgren CM The genetics of obesity Curr Diab Rep 2010 10 6 498 50510.1007/s11892-010-0153-z295591320931363Search in Google Scholar

3Shabana, 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.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 BSR2018028110.1042/BSR20180281643551329752338Search in Google Scholar

4Osman 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.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 13Search in Google Scholar

5Ali AT, Crowther NJ. Factors predisposing to obesity: A review of the literature. S Afr Fam Pract. 2010; 52(3): 193-197.Ali AT Crowther NJ Factors predisposing to obesity: A review of the literature S Afr Fam Pract 2010 52 3 193 19710.1080/20786204.2010.10873970Search in Google Scholar

6Zhao J, Grant SFA. Genetics of childhood obesity. J Obes. 2011; 2011: 845148.PAGEZhao J Grant SFA Genetics of childhood obesity J Obes 2011 2011 845148 PAGE10.1201/b16340-3Search in Google Scholar

7Pevsner J. Bioinformatics and Functional Genomics, 3rd ed. Hoboken, NJ, USA: Wiley-Blackwell, Press; 2015.Pevsner J Bioinformatics and Functional Genomics, 3rd ed Hoboken, NJ, USA Wiley-Blackwell, Press 2015Search in Google Scholar

8Mehmood MA, Sehar U, Ahman N. Use of bioinformatics tools in different spheres of life sciences. J Data Mining Genomics Proteomics. 2014; 5(2): 158.Mehmood MA Sehar U Ahman N Use of bioinformatics tools in different spheres of life sciences J Data Mining Genomics Proteomics 2014 5 2 158Search in Google Scholar

9Appa 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.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 73Search in Google Scholar

10Abdella. Bioinformatics analyses of some functional genes and proteins involved in obesity-induces type 2 diabetes. Am J Bioinform. 2012; 1(2): 87-98.Abdella Bioinformatics analyses of some functional genes and proteins involved in obesity-induces type 2 diabetes Am J Bioinform 2012 1 2 87 98Search in Google Scholar

11National Center for Biotechnology Information. Available at: https://www.ncbi.nlm.nih.gov/.Accessed August 20, 2020.National Center for Biotechnology Information Available at https://www.ncbi.nlm.nih.gov/.Accessed August 20 2020Search in Google Scholar

12Hall BG. Building phylogenetic trees from molecular data with MEGA. Mol Biol Evol. 2013; 30(5): 12291235.Hall BG Building phylogenetic trees from molecular data with MEGA Mol Biol Evol 2013 30 5 1229123510.1093/molbev/mst01223486614Search in Google Scholar

13Saitou N, Nei M. The neighbor-joining method: A new method for reconstructing phylogenetic trees. Mol Biol Evol. 1987; 4(4): 406-425.Saitou N Nei M The neighbor-joining method: A new method for reconstructing phylogenetic trees Mol Biol Evol 1987 4 4 406 425Search in Google Scholar

14Tamura 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.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 1103510.1073/pnas.040420610149198915258291Search in Google Scholar

15Huang 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.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 37010.3389/fendo.2018.00370604367730034368Search in Google Scholar