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鉴定和关联 FTO 基因单核苷酸多态性与年轻墨西哥人群超重和肥胖指标的关系。

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

机构信息

Facultad de Ciencias Naturales, Universidad Autónoma de Querétaro, Juriquilla, Querétaro 76230, Mexico.

Facultad de Enfermería, Universidad Autónoma de Querétaro, Las Campanas, Querétaro 76010, Mexico.

出版信息

Genes (Basel). 2023 Jan 6;14(1):159. doi: 10.3390/genes14010159.

Abstract

(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 (). Thus, the present work aims to identify and determine associations between genetic variants of 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 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 genetic variants associated with a classic indicator of overweight and obesity, which highlights the importance of genetic analyses in the study of obesity.

摘要

(1) 背景:肥胖是一个全球性的公共卫生问题;多种因素与这种疾病有关,遗传因素起着非常重要的作用。先前在多个人群中的研究已经将一个基因与脂肪量和肥胖症相关联()。因此,本工作旨在鉴定并确定墨西哥人群中与超重和肥胖相关的基因的遗传变异与超重和肥胖相关的指标之间的关联。(2) 方法:共评估了 638 名受试者,以编制有关体重指数 (BMI)、体脂肪百分比 (%BF)、腰围 (WC)、血清甘油三酯 (TG) 水平和食物消耗的数据。通过微阵列对所评估人群中的基因中的 175 个遗传变异进行了抽样,然后进行关联统计分析和均值比较。(3) 结果:共有 34 个遗传变异与超重和肥胖的 6 个指标中的任何一个相关,但只有 15 个在经过 Bonferroni 校正后的隐性模型下显示出均值差异。本研究对与经典超重和肥胖指标相关的基因遗传变异进行了广泛评估,这突出了遗传分析在肥胖研究中的重要性。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0498/9858641/6dc6ed2fcf6f/genes-14-00159-g001.jpg

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