Identification and Association of Single Nucleotide Polymorphisms of the FTO Gene with Indicators of Overweight and Obesity in a Young Mexican Population

被引:9
作者
Chama-Aviles, Alonso [1 ]
Flores-Viveros, Karla Lucero [2 ]
Cabrera-Ayala, Jorge Alberto [3 ]
Aguilar-Galarza, Adriana [4 ]
Garcia-Munoz, Willebaldo [5 ]
Haddad-Talancon, Lorenza [5 ]
de Lourdes Anzures-Cortes, Ma. [5 ]
Velazquez-Sanchez, Claudia [5 ]
Chavez-Servin, Jorge Luis [1 ]
Anaya-Loyola, Miriam Aracely [1 ]
Garcia-Gasca, Teresa [1 ]
Rodriguez-Garcia, Victor Manuel [6 ]
Moreno-Celis, Ulisses [1 ]
机构
[1] Univ Autonoma Queretaro, Fac Ciencias Nat, Juriquilla 76230, Queretaro, Mexico
[2] Univ Autonoma Queretaro, Fac Enfermeria, Las Campanas 76010, Queretaro, Mexico
[3] Univ Autonoma Coahuila, Fac Med, Unidad Saltillo, Saltillo 25000, Coahuila, Mexico
[4] Univ Autonoma Queretaro, Serv Univ Salud, Secretaria Atenc Comunidad Univ, Las Campanas 76010, Queretaro, Mexico
[5] Codigo 46 SA CV, Lab Genet Humana, Cuernavaca 62498, Morelos, Mexico
[6] Tecnol Monterrey, Escuela Ingn & Ciencias, San Pablo 76130, Queretaro, Mexico
关键词
FTO gene; obesity; single nucleotide polymorphisms; FAT MASS; RS17817449;
D O I
10.3390/genes14010159
中图分类号
Q3 [遗传学];
学科分类号
071007 ; 090102 ;
摘要
(1) Background: obesity is a global public health problem; various factors have been associated with this disease, and genetic factors play a very important role. Previous studies in multiple populations have associated a gene with fat mass and obesity (FTO). Thus, the present work aims to identify and determine associations between genetic variants of FTO with indicators of overweight and obesity in the Mexican population. (2) Methods: a total of 638 subjects were evaluated to compile data on body mass index (BMI), the percentage of body fat (%BF), the waist circumference (WC), the serum levels of triglycerides (TG), and food consumption. A total of 175 genetic variants in the FTO gene were sampled by a microarray in the evaluated population, followed by association statistical analyses and comparisons of means. (3) Results: a total of 34 genetic variants were associated with any of the 6 indicators of overweight and obesity, but only 15 showed mean differences using the recessive model after the Bonferroni correction. The present study shows a wide evaluation of FTO genetic variants associated with a classic indicator of overweight and obesity, which highlights the importance of genetic analyses in the study of obesity.
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页数:17
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