Institute of Preventive Medicine, Copenhagen University Hospital, Centre for Health and Society, Copenhagen, Denmark.
Obes Facts. 2008;1(3):138-45. doi: 10.1159/000137665. Epub 2008 Jun 20.
In previous studies of associations of variants in the genes UCP2, UCP3, PPARG2, CART, GRL, MC4R, MKKS, SHP, GHRL, and MCHR1 with obesity, we have used a case-control approach with cases defined by a threshold for BMI. In the present study, we assess the association of seven abdominal, peripheral, and overall obesity phenotypes, which were analyzed quantitatively, and thirteen candidate gene polymorphisms in these ten genes in the same cohort.
Obese Caucasian men (n = 234, BMI >or= 31.0 kg/m(2)) and a randomly sampled non-obese group (n = 323), originally identified at the draft board examinations, were re-examined at median ages of 47.0 or 49.0 years by anthropometry and DEXA scanning. Obesity phenotypes included BMI, fat body mass index, waist circumference, waist for given BMI, intra-abdominal adipose tissue, hip circumference and lower body fat mass (%). Using logistic regression models, we estimated the odds for defined genotypes (dominant or recessive genetic transmission) in relation to z-scores of the phenotypes.
The minor (rare) allele for SHP 512G>C (rs6659176) was associated with increased hip circumference. The minor allele for UCP2 Ins45bp was associated with increased BMI, increased abdominal obesity, and increased hip circumference. The minor allele for UCP2 -866G>A (rs6593669) was associated with borderline increased fat body mass index. The minor allele for MCHR1 100213G>A (rs133072) was associated with reduced abdominal obesity. None of the other genotype-phenotype combinations showed appreciable associations.
If replicated in independent studies with focus on the specific phenotypes, our explorative studies suggest significant associations between some candidate gene polymorphisms and distinct obesity phenotypes, predicting beneficial and detrimental effects, depending on compartments for body fat accumulation.
在先前研究 UCP2、UCP3、PPARG2、CART、GRL、MC4R、MKKS、SHP、GHRL 和 MCHR1 基因变异与肥胖之间的关联时,我们使用了病例对照方法,以 BMI 阈值定义病例。在本研究中,我们评估了七个腹部、外周和整体肥胖表型的关联,这些表型是通过定量分析得到的,同时还评估了这十个基因中 13 个候选基因多态性与同一队列中的这些表型的关联。
肥胖的白种男性(n = 234,BMI≥31.0kg/m²)和随机抽样的非肥胖组(n = 323)最初在兵役登记处被识别,然后在中位数年龄为 47.0 或 49.0 岁时通过人体测量和 DEXA 扫描进行重新检查。肥胖表型包括 BMI、脂肪体重指数、腰围、给定 BMI 的腰围、腹内脂肪组织、臀围和下半身脂肪量(%)。使用逻辑回归模型,我们估计了与表型 z 分数相关的特定基因型(显性或隐性遗传传递)的优势比。
SHP 512G>C(rs6659176)的次要(罕见)等位基因与臀围增加有关。UCP2 Ins45bp 的次要等位基因与 BMI 增加、腹部肥胖增加和臀围增加有关。UCP2-866G>A(rs6593669)的次要等位基因与边缘增加的脂肪体重指数有关。MCHR1 100213G>A(rs133072)的次要等位基因与腹部肥胖减少有关。其他基因型-表型组合均未显示明显的关联。
如果在关注特定表型的独立研究中得到复制,我们的探索性研究表明,一些候选基因多态性与特定的肥胖表型之间存在显著关联,这些关联取决于身体脂肪积累的部位,预测有益和有害的影响。