Variability of the SNP rs9939609 in the FTO Gene and Ancestry in Latin American Populations
DOI:
https://doi.org/10.56294/dm2024.353Keywords:
Alpha-Ketoglutarate-Dependent Dioxygenase FTO, obesity, Latin America, Body Mass IndexAbstract
Introduction: Obesity is a complex condition influenced by genetic and environmental factors. The FTO gene has been associated with obesity through several single nucleotide polymorphisms (SNPs), particularly rs9939609, related to higher body mass index (BMI) and risk of obesity. FTO variants influence the regulation of appetite and energy metabolism by affecting RNA methylation and the expression of key genes in adipogenesis.
Objective: To investigate the association between the FTO rs9939609 SNP and genetic ancestry proportions in Latin American populations.
Methods: Genotypes for rs9939609 were obtained using VcfTools and the 1000 Genomes Project database. Samples from Latin America were selected, covering four mixed populations: Colombians (n=94), Mexicans (n=64), Peruvians (n=85) and Puerto Ricans (n=104), totaling 347 individuals. To estimate genetic ancestry proportions, 446 SNPs from a panel of ancestry informative markers (AIMs) were used.
Results: Individuals with the AA genotype of SNP rs9939609 have a higher proportion of Native American ancestry and a lower proportion of European ancestry compared to TT and AT genotypes. The variability in the proportions of ancestry according to the genotype of the SNP rs9939609 suggests a possible genetic stratification in the Latin American populations studied.
Conclusions: These findings highlight the importance of considering ancestral composition in genetic studies related to obesity. More research is needed to understand how gene-environment interactions contribute to obesity in various populations, which could lead to more effective and targeted intervention strategies
References
1. Frayling TM, Timpson NJ, Weedon MN, Zeggini E, Freathy RM, Lindgren CM, et al. A common variant in the FTO gene is associated with body mass index and predisposes to childhood and adult obesity. Science 2007;316:889–94. https://doi.org/10.1126/science.1141634.
2. Cecil JE, Tavendale R, Watt P, Hetherington MM, Palmer CNA. An obesity-associatedFTOgene variant and increased energy intake in children. N Engl J Med 2008;359:2558–66. https://doi.org/10.1056/nejmoa0803839.
3. Lan N, Lu Y, Zhang Y, Pu S, Xi H, Nie X, et al. FTO – A common genetic basis for obesity and cancer. Front Genet 2020;11. https://doi.org/10.3389/fgene.2020.559138.
4. Loos RJF, Yeo GSH. The bigger picture of FTO—the first GWAS-identified obesity gene. Nat Rev Endocrinol 2014;10:51–61. https://doi.org/10.1038/nrendo.2013.227.
5. Jia G, Fu Y, Zhao X, Dai Q, Zheng G, Yang Y, et al. N6-Methyladenosine in nuclear RNA is a major substrate of the obesity-associated FTO. Nat Chem Biol 2011;7:885–7. https://doi.org/10.1038/nchembio.687.
6. Karra E, O’Daly OG, Choudhury AI, Yousseif A, Millership S, Neary MT, et al. A link between FTO, ghrelin, and impaired brain food-cue responsivity. J Clin Invest 2013;123:3539–51. https://doi.org/10.1172/jci44403.
7. Zhao X, Yang Y, Sun B-F, Shi Y, Yang X, Xiao W, et al. FTO-dependent demethylation of N6-methyladenosine regulates mRNA splicing and is required for adipogenesis. Cell Res 2014;24:1403–19. https://doi.org/10.1038/cr.2014.151.
8. Cheung MK, Gulati P, O’Rahilly S, Yeo GSH. FTO expression is regulated by availability of essential amino acids. Int J Obes (Lond) 2013;37:744–7. https://doi.org/10.1038/ijo.2012.77.
9. Gulati P, Cheung MK, Antrobus R, Church CD, Harding HP, Tung Y-CL, et al. Role for the obesity-related FTO gene in the cellular sensing of amino acids. Proc Natl Acad Sci U S A 2013;110:2557–62. https://doi.org/10.1073/pnas.1222796110.
10. Niu Y, Lin Z, Wan A, Chen H, Liang H, Sun L, et al. RNA N6-methyladenosine demethylase FTO promotes breast tumor progression through inhibiting BNIP3. Mol Cancer 2019;18. https://doi.org/10.1186/s12943-019-1004-4.
11. Cui Q, Shi H, Ye P, Li L, Qu Q, Sun G, et al. M 6 A RNA methylation regulates the self-renewal and tumorigenesis of glioblastoma stem cells. Cell Rep 2017;18:2622–34. https://doi.org/10.1016/j.celrep.2017.02.059.
12. Dina C, Meyre D, Gallina S, Durand E, Körner A, Jacobson P, et al. Variation in FTO contributes to childhood obesity and severe adult obesity. Nat Genet 2007;39:724–6. https://doi.org/10.1038/ng2048.
13. Wen W, The Genetic Investigation of ANthropometric Traits (GIANT) Consortium, Cho Y-S, Zheng W, Dorajoo R, Kato N, et al. Meta-analysis identifies common variants associated with body mass index in east Asians. Nat Genet 2012;44:307–11. https://doi.org/10.1038/ng.1087.
14. da Fonseca ACP, Abreu GM, Zembrzuski VM, Campos Junior M, Carneiro JRI, Nogueira Neto JF, et al. The association of the fat mass and obesity-associated gene (FTO) rs9939609 polymorphism and the severe obesity in a Brazilian population. Diabetes Metab Syndr Obes 2019;12:667–84. https://doi.org/10.2147/dmso.s199542.
15. Jiang Y, Qi X, Liu X, Zhang J, Liu T. Association of FTO rs9939609 polymorphism with obesity risk in children: A meta-analysis. World J Pediatr. 2019;15(3):281-91.
16. Danecek P, Auton A, Abecasis G, Albers CA, Banks E, DePristo MA, et al. The variant call format and VCFtools. Bioinformatics 2011;27:2156–8. https://doi.org/10.1093/bioinformatics/btr330.
17. The 1000 Genomes Project Consortium, Auton A, Abecasis GR, Altshuler DM (Co-Chair), Durbin RM (Co-Chair), Abecasis GR, et al. A global reference for human genetic variation. Nature 2015;526:68–74. https://doi.org/10.1038/nature15393.
18. Galanter JM, Fernandez-Lopez JC, Gignoux CR, Barnholtz-Sloan J, Fernandez-Rozadilla C, Via M, et al. Development of a panel of genome-wide ancestry informative markers to study admixture throughout the Americas. PLoS Genet 2012;8:e1002554. https://doi.org/10.1371/journal.pgen.1002554.
19. Hubisz MJ, Falush D, Stephens M, Pritchard JK. Inferring weak population structure with the assistance of sample group information. Mol Ecol Resour 2009;9:1322–32. https://doi.org/10.1111/j.1755-0998.2009.02591.x.
Published
Issue
Section
License
Copyright (c) 2024 Sergio V. Flores, Román M. Montaña , Angel Roco-Videla , Marcela Caviedes-Olmos , Raúl Aguilera Eguía (Author)
This work is licensed under a Creative Commons Attribution 4.0 International License.
The article is distributed under the Creative Commons Attribution 4.0 License. Unless otherwise stated, associated published material is distributed under the same licence.