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Contribution of SNPs (rs9939609, rs057044, rs1421085) and haplotypes of FTO gene to the genetic risk for obesity in children from Yucatan, México. González-Herrera.

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Presentation on theme: "Contribution of SNPs (rs9939609, rs057044, rs1421085) and haplotypes of FTO gene to the genetic risk for obesity in children from Yucatan, México. González-Herrera."— Presentation transcript:

1 Contribution of SNPs (rs , rs057044, rs ) and haplotypes of FTO gene to the genetic risk for obesity in children from Yucatan, México. González-Herrera Lizbeth, López-González María José, Cardeña-Carballo Zenda, Pérez-Mendoza Gerardo, Andrade-Olalde Ana, Pinto-Escalante Doris. Centro de Investigaciones Regionales. Universidad Autónoma de Yucatán. México. BACKGOUND RESULTS The fat mass and obesity-associated (FTO) gene has been identified as a strong candidate for obesity-related phenotypes in several populations. SNPs might play a transcriptional regulatory role, either to up or downregulate FTO expression. The association of FTO with body mass index (BMI) is largely driven by effects on appetite and food intake. FTO is most highly expressed in the hypothalamus, where the sensing of amino acid levels has been demonstrated to affect orexigenic and anorexigenic pathways controlling food intake. The modest effect size of around 1.5 kg per FTO risk allele in humans, with homozygote carriers being on average 3 kg heavier. Risk alleles result in subtle variations in the expression of FTO in key appetite control centres within the brain, which are likely to influence the way one’s sense and respond to amino acid levels. Human carriers for the FTO risk SNPs actually display quite a nuanced feeding phenotype compared with non-carriers. In test meals, they not only consume more calories in absolute terms, but also show an alteration in nutrient preference Genotype and allele frequencies for the three SNPs of FTO gene were distributed according to Hardy-Weinberg expectations (p>0.05); except in non-obese children for rs The heterozygous genotype for the three studied SNPs, as well as the allele C for rs showed significant differences between obese and non-obese children (p<0.03) (Table 1), suggesting that these SNPs are associated with the genetic risk for obesity in the studied children population. However mean BMI, waist circunference and waist/height index were not significantly different according to genotype between obese and non-obese children. Haplotype distribution did not show any significant difference between cases and control (p>0.05). Table 1. Genotype and allele frequencies for the FTO-SNPs rs , rs and rs FTO, -108CT-PON in obese and non-obese children from Yucatán, Mexico. OBJECTIVE To evaluate the association of the FTO-SNPs (rs , rs , rs ) and their haplotypes with the genetic risk for obesity in children from Yucatán, México. MATERIALS Y METHODS Design: Case-control association study Anthropometric parameters: Waist circunference BMI Waist/height index Birth weight : DNA isolation Genotyping of SNPs: Real time PCR Taqman probes Estimations: Genotype frequencies Allele frequencies Hardy-Weinberg expectations Statistical analysis: STATA. x2 (Fisher exact) Odds ratio (IC 95%), Logistic regression Cases: 211 obese children BMI Pc < 95 Controls: 204 Non-obese children BMI Pc > 95 CONCLUSION The heterozygous genotype of the SNPs rs , rs , and rs , as well as the allele C of rs in the FTO gene contribute significantly to the genetic risk for obesity in children from Yucatán, Mexico. However, their haplotypes are not involved to the risk for children obesity in the studied population. References: 1.- Loos RJF and Bouchard C. Obesity reviews 2008, 9: 2.- Rendo T, Moleres A, Marti del Moral A. Obesity Facts 2009,2: 3.- Frayling TM, Timpson NJ, Weedon MN,, et al. Science 2007,316: 4.- Martínez-Salazar M, Almenares-López D, García-Jiménez S, et al. Genes Nutr 2011; 6:361–368. 5.- Seres I, Bajnok L, Harangi M, et al. Adv Exp Med Biol 2010; 660: 6.- Fuemmeler B, Agurs-Collins T, McClernon J, et al. Obesity 2008; 16: 7.- Gulate P, Yeo GSH. Diabetologia 2013; 56: Acknowledgments: Fondos sectoriales de SALUD and Thermo Fisher Scientific- Applied Biosystems de México S. De R.L. De C. V.


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