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Singh R, Kumar P, Mahalingam K. Molecular genetics of human obesity: A comprehensive review. CR Biol. 2017; 340(2): 87-108.SinghRKumarPMahalingamKMolecular genetics of human obesity: A comprehensive review201734028710810.1016/j.crvi.2016.11.00728089486Search in Google Scholar
Herrera BM, Lindgren CM. The genetics of obesity. Curr Diab Rep. 2010; 10(6): 498-505.HerreraBMLindgrenCMThe genetics of obesity201010649850510.1007/s11892-010-0153-z295591320931363Search in Google Scholar
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.ShabanaUllah Shahid SHasnainSIdentification of genetic basis of obesity and mechanistic link of genes and lipids in Pakistani population2018384BSR2018028110.1042/BSR20180281643551329752338Search in Google Scholar
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.OsmanMMKhalifaASMutasimAEYMassaaddSOGasemelseedMMAbdagaderMAet alIn silico analysis of single nucleotide polymorphisms (Snps) in human FTO gene201611113Search in Google Scholar
Ali AT, Crowther NJ. Factors predisposing to obesity: A review of the literature. S Afr Fam Pract. 2010; 52(3): 193-197.AliATCrowtherNJFactors predisposing to obesity: A review of the literature201052319319710.1080/20786204.2010.10873970Search in Google Scholar
Zhao J, Grant SFA. Genetics of childhood obesity. J Obes. 2011; 2011: 845148.PAGEZhaoJGrantSFAGenetics of childhood obesity20112011845148PAGE10.1201/b16340-3Search in Google Scholar
Pevsner J. Bioinformatics and Functional Genomics, 3rd ed. Hoboken, NJ, USA: Wiley-Blackwell, Press; 2015.PevsnerJHoboken, NJ, USAWiley-Blackwell, Press2015Search in Google Scholar
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.MehmoodMASeharUAhmanNUse of bioinformatics tools in different spheres of life sciences201452158Search in Google Scholar
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.AppaRao ATayaruNThotaHBabuChangalasetty SSarojaThota LGedelaSBioinformatic analysis of functional proteins involved in obesity associated with diabetes2008417073Search in Google Scholar
Abdella. Bioinformatics analyses of some functional genes and proteins involved in obesity-induces type 2 diabetes. Am J Bioinform. 2012; 1(2): 87-98.AbdellaBioinformatics analyses of some functional genes and proteins involved in obesity-induces type 2 diabetes2012128798Search in Google Scholar
National Center for Biotechnology Information. Available at: https://www.ncbi.nlm.nih.gov/.Accessed August 20, 2020.Available athttps://www.ncbi.nlm.nih.gov/.AccessedAugust 202020Search in Google Scholar
Hall BG. Building phylogenetic trees from molecular data with MEGA. Mol Biol Evol. 2013; 30(5): 12291235.HallBGBuilding phylogenetic trees from molecular data with MEGA20133051229123510.1093/molbev/mst01223486614Search in Google Scholar
Saitou N, Nei M. The neighbor-joining method: A new method for reconstructing phylogenetic trees. Mol Biol Evol. 1987; 4(4): 406-425.SaitouNNeiMThe neighbor-joining method: A new method for reconstructing phylogenetic trees198744406425Search in Google Scholar
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.TamuraKNeiMKumarSProspects for inferring very large phylogenies by using the neighbor-joining method200410130110301103510.1073/pnas.040420610149198915258291Search in Google Scholar
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.HuangQMaCChenLLuoDChenRLiangFMechanistic insights into the interaction between transcription factors and epigenetic modifications and the contribution to the development of obesity2018937010.3389/fendo.2018.00370604367730034368Search in Google Scholar