[1] Centre for Cellular and Molecular Biology, Hyderabad, India [2] Department of Biomedical Sciences, Sri Ramachandra University, Chennai, India.
Eur J Clin Nutr. 2010 Aug;64(8):868-72. doi: 10.1038/ejcn.2010.74. Epub 2010 Jun 9.
BACKGROUND/OBJECTIVES: Neuropeptide Y (NPY) gene has been shown to have a critical role in the regulation of satiety, reproduction, central endocrine and cardiovascular systems. Among the primary functions associated with NPY are its acute effects on feeding behavior and energy expenditure. The aim of this study is to evaluate the relationship between obesity and NPY gene polymorphisms in a South Indian Population.
SUBJECTS/METHODS: Three polymorphisms in NPY gene (Leu7Pro, Ser50Ser and A7735G) were analyzed in 263 individuals of an endogamous Kota population. On the basis of body mass index (BMI), they were divided into two groups. Associations were tested using logistic regression and haplotype analyses and linkage disequilibrium (LD).
There was no evidence of deviation from Hardy-Weinberg equilibrium. Logistic regression analysis did not reveal significant association with obesity and NPY single-nucleotide polymorphisms (SNPs) in the present study. All three SNPs were in weak LD with low r (2) values. Haplotype analysis also did not yield significant association between NPY gene and obesity (global P=0.756).
Our study did not validate the association between previously implicated SNPs in NPY gene and obesity in an Indian population. Population-specific validation of putative associations has far reaching implications for the future personal genomics medicine applications.
背景/目的:神经肽 Y(NPY)基因在调节饱腹感、生殖、中枢内分泌和心血管系统方面起着关键作用。与 NPY 相关的主要功能之一是其对进食行为和能量消耗的急性影响。本研究旨在评估南印度人群中肥胖与 NPY 基因多态性的关系。
受试者/方法:在一个内婚的科塔人群中,分析了 NPY 基因(Leu7Pro、Ser50Ser 和 A7735G)的三个多态性。根据体重指数(BMI),将他们分为两组。使用逻辑回归和单倍型分析以及连锁不平衡(LD)来检验关联。
没有偏离哈迪-温伯格平衡的证据。逻辑回归分析显示,在本研究中,肥胖与 NPY 单核苷酸多态性(SNP)之间没有显著关联。所有三个 SNP 与低 r(2)值的弱 LD 相关。单倍型分析也没有发现 NPY 基因与肥胖之间存在显著关联(全局 P=0.756)。
我们的研究没有证实先前在 NPY 基因中发现的与肥胖相关的 SNP 与印度人群肥胖之间的关联。对假定关联进行特定于人群的验证,对未来的个体化基因组医学应用具有深远的意义。