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.
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.