[NEDD4L基因rs4149601多态性与新疆哈萨克族人群肥胖的相关性]

[Association of the rs4149601 polymorphism of NEDD4L gene with obesity in Xinjiang Kazakh population].

作者信息

Wang Hong-mei, Li Nan-fang, Yao Xiao-guang, Hong Jing, Luo Wen-li, Chang Jian-hang

机构信息

Department of Hypertension, People's Hospital of Xinjiang Uygur Autonomous Region, Center of Diagnosis, Treatment and Research of Hypertension in Xinjiang, Urumqi, Xinjiang, P.R. China.

出版信息

Zhonghua Yi Xue Yi Chuan Xue Za Zhi. 2010 Dec;27(6):668-71. doi: 10.3760/cma.j.issn.1003-9406.2010.06.014.

DOI:10.3760/cma.j.issn.1003-9406.2010.06.014

PMID:21154329

Abstract

OBJECTIVE

To investigate the association of the rs4149601 polymorphisms of neural precursor cell expressed developmentally downregulated 4-like gene (NEDD4L) and obesity in Xinjiang Kazakh population.

METHODS

The rs4149601 polymorphism of the NEDD4L gene was genotyped in a Xinjiang Kazakh general population including 856 subjects (aged 30 to 60 years, 478 obese and 378 control individuals).

RESULTS

The polymorphism was successfully genotyped in 853 Xinjiang Kazakh subjects. The distribution of the additive model and dominant model (AG+ AA vs. GG) of the rs4149601 polymorphism differed significantly between the case and control in both total and females (all P< 0.05). After adjusting for confounding factors, logistic regression analysis showed that the rs4149601 polymorphism (in dominant model) was significantly associated with obesity (OR= 1.479, 95% CI: 1.103-1.983, P= 0.009) in Kazakh. Covariate variance analysis showed that compared with subjects with AA + AG genotypes, the waist circumference was significantly higher in subjects with GG genotype after adjusting for age, smoking and drinking (P= 0.028).

CONCLUSION

The genetic variations of the NEDD4L gene may be associated with obesity in Xinjiang Kazakh general population.

摘要

目的

探讨神经前体细胞表达发育下调4样基因（NEDD4L）的rs4149601多态性与新疆哈萨克族人群肥胖的关系。

方法

对856名30至60岁的新疆哈萨克族普通人群（478例肥胖者和378例对照个体）进行NEDD4L基因rs4149601多态性基因分型。

结果

853名新疆哈萨克族受试者成功进行了基因分型。rs4149601多态性的加性模型和显性模型（AG + AA与GG）在总体和女性病例与对照之间的分布差异均有统计学意义（均P < 0.05）。在调整混杂因素后，逻辑回归分析显示rs4149601多态性（显性模型）与哈萨克族肥胖显著相关（OR = 1.479，95% CI：1.103 - 1.983，P = 0.009）。协方差分析显示，在调整年龄、吸烟和饮酒因素后，与AA + AG基因型受试者相比，GG基因型受试者的腰围显著更高（P = 0.028）。