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白细胞介素基因与军事学员超重参数的相关性研究。

Association of Interleukin Genes and with Parameters of Overweight in Military Students.

机构信息

Faculty of Physical Education, Jozef Pilsudski University of Physical Education in Warsaw, 00-809 Warsaw, Poland.

Military Institute of Hygiene and Epidemiology, 01-163 Warsaw, Poland.

出版信息

Genes (Basel). 2022 Feb 1;13(2):291. doi: 10.3390/genes13020291.

Abstract

BACKGROUND

To date, nearly 300 single-nucleotide polymorphisms (SNPs) associated with BMI, waist-to-hip ratio, and other adiposity traits have been identified by GWAS. With regards to , at least 49 -associated polymorphisms have been reported. However, little is known regarding the relationship between SNPs of the gene and the risk of obesity in young men. The aim of the present study was to investigate the relationship between SNPs of the and genes and the risk of obesity in young men.

METHODS

A cohort of 139 male students were enrolled and the following and SNPs were analyzed: (rs1518110), (rs3024491), (rs2834167). The subjects were divided into groups depending on obesity parameters: body mass index (BMI), fat mass index (FMI) and fat percentage (Fat%). Statistical analysis was conducted for a single locus and haplotypes, an association between SNPs and body composition parameters was tested with four genetic models: dominant, recessive, codominant and overdominant mode of inheritance (MOI).

RESULTS

Significant association was found for interaction (rs1518110) × (rs2834167) with Fat% value exceeding 20 in codominant (-value = 0.03, OR = 0.34, 95% CI 0.08 1.44) and dominant model (-value = 0.03, OR = 0.34, 95% CI 0.08 1.44) Conclusion: Our study shows for the first time that there is a correlation between the occurrence of specific polymorphisms of gene (rs1518110, rs3024491 and rs2834167) and the possibility of obesity.

摘要

背景

迄今为止,通过全基因组关联研究已经发现了近 300 个与 BMI、腰臀比和其他肥胖特征相关的单核苷酸多态性(SNP)。关于 基因,已经报道了至少 49 个相关的多态性。然而,对于 基因的 SNP 与年轻男性肥胖风险之间的关系知之甚少。本研究旨在探讨 基因的 SNP 与年轻男性肥胖风险之间的关系。

方法

纳入了 139 名男性学生的队列,并分析了以下 和 基因的 SNP:(rs1518110)、(rs3024491)、(rs2834167)。根据肥胖参数将受试者分为以下几组:体重指数(BMI)、脂肪量指数(FMI)和脂肪百分比(Fat%)。对单一位点和单倍型进行了统计分析,并采用显性、隐性、共显性和超显性遗传模式(MOI)检测 SNP 与身体成分参数之间的关联。

结果

在共显性模型(-值=0.03,OR=0.34,95%CI 0.08-1.44)和显性模型(-值=0.03,OR=0.34,95%CI 0.08-1.44)中,发现 SNP (rs1518110)×(rs2834167)的交互作用与 Fat%值超过 20 显著相关。

结论

我们的研究首次表明, 基因(rs1518110、rs3024491 和 rs2834167)特定多态性的发生与肥胖的可能性之间存在相关性。

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