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INSIG2基因上游的常见基因变异与印度人群的肥胖症无关。

The common genetic variant upstream of INSIG2 gene is not associated with obesity in Indian population.

作者信息

Kumar J, Sunkishala R R, Karthikeyan G, Sengupta S

机构信息

Department of Proteomics and Structural Biology, Institute of Genomics and Integrative Biology, New Delhi, India.

出版信息

Clin Genet. 2007 May;71(5):415-8. doi: 10.1111/j.1399-0004.2007.00795.x.

Abstract

The high incidence of obesity has resulted in increased morbidity and mortality worldwide. Obesity, a common lifestyle disorder, is caused by multiple factors with heredity playing a strong causal role. Recently, a genetic variation upstream of insulin-induced gene 2 (INSIG2) (rs7566605) has been reported to be associated with obesity in four separate cohorts. Because the lifestyle and food preferences of a large proportion of Indian population differ from the rest of the world, we studied the impact of this polymorphism with body mass index (BMI). The study consisted of two cohorts--1577 healthy individuals from three major linguistic lineages in India and 610 coronary artery disease cases and controls. In the two cohorts studied, no significant association was observed between the polymorphism and BMI. However, frequency of homozygous variant genotype was higher in non-obese individuals as compared with obese individuals in both cohorts although the difference was marginally significant only in the case-control cohort under the assumption of a recessive model. Furthermore, regardless of age and sex, mean BMI did not vary with genotype under the assumptions of recessive model. Thus, in contrast to earlier reports, the variant upstream of INSIG2 is not a determinant of BMI in Indian population.

摘要

肥胖症的高发病率导致全球范围内发病率和死亡率上升。肥胖是一种常见的生活方式紊乱疾病,由多种因素引起,遗传因素起着重要的因果作用。最近,有报道称胰岛素诱导基因2(INSIG2)上游的一个基因变异(rs7566605)在四个独立队列中与肥胖有关。由于很大一部分印度人口的生活方式和食物偏好与世界其他地区不同,我们研究了这种多态性与体重指数(BMI)的关系。该研究包括两个队列——来自印度三个主要语言谱系的1577名健康个体以及610例冠状动脉疾病病例和对照。在所研究的两个队列中,未观察到该多态性与BMI之间存在显著关联。然而,在两个队列中,非肥胖个体的纯合变异基因型频率均高于肥胖个体,尽管仅在病例对照队列中,在隐性模型假设下该差异仅具有微弱的显著性。此外,在隐性模型假设下,无论年龄和性别,平均BMI均不随基因型而变化。因此,与早期报道相反,INSIG2上游的变异在印度人群中并非BMI的决定因素。

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