Peeters Armand, Beckers Sigri, Verrijken An, Mertens Ilse, Van Gaal Luc, Van Hul Wim
Department of Biomedical Sciences, University of Antwerp, Universiteitsplein 1, Wilrijk, 2610, Antwerp, Belgium.
Endocrine. 2009 Aug;36(1):103-9. doi: 10.1007/s12020-009-9194-y. Epub 2009 Apr 28.
Previous studies have suggested that ENPP1, INSIG2, and PLIN may be linked with a higher risk for obesity or with increased phenotypic measures of obesity. We selected polymorphisms in these candidate genes based on their prior associations with obesity risk or obesity parameters. K121Q (rs1044498) in ENPP1, rs7566605 in INSIG2, and rs894160 in PLIN were genotyped by Taqman assays in a Belgian sample of 1,078 obese subjects (body mass index (BMI) > 30 kg/m(2)) and 323 lean controls (18.5 < BMI < 25 kg/m(2)). BMI, waist circumference, and waist-to-hip ratio (WHR) were assessed by standard methods while a computerized tomography-scan was used to measure visceral (VFA), subcutaneous (SFA), and total (TFA) abdominal fat areas. Presence of the rare allele was not significantly different between cases and controls for the three variants that were tested, while only WHR was associated with ENPP1 in obese subjects. Our data thus indicate that K121Q, rs7566605, and rs894160 are not major contributing factors for obesity.
先前的研究表明,ENPP1、INSIG2和PLIN可能与肥胖风险较高或肥胖的表型指标增加有关。我们根据这些候选基因先前与肥胖风险或肥胖参数的关联,选择了其中的多态性。通过Taqman分析对1078名肥胖受试者(体重指数(BMI)>30 kg/m²)和323名瘦对照者(18.5<BMI<25 kg/m²)的比利时样本进行ENPP1中的K121Q(rs1044498)、INSIG2中的rs7566605和PLIN中的rs894160基因分型。通过标准方法评估BMI、腰围和腰臀比(WHR),同时使用计算机断层扫描测量内脏(VFA)、皮下(SFA)和总(TFA)腹部脂肪面积。在测试的三个变体中,病例组和对照组之间罕见等位基因的存在没有显著差异,而在肥胖受试者中只有WHR与ENPP1相关。因此,我们的数据表明K121Q、rs7566605和rs894160不是肥胖的主要促成因素。