Li C X, Gao Y, Gao W J, Yu C Q, Lyu J, Lyu R R, Duan J L, Sun Y, Guo X H, Wang S F, Zhou B, Wang G, Cao W H, Li L M
Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing 100191, China.
Beijing Center for Disease Control and Prevention, Beijing 100013, China.
Zhonghua Liu Xing Bing Xue Za Zhi. 2018 Apr 10;39(4):443-448. doi: 10.3760/cma.j.issn.0254-6450.2018.04.011.
On whole-genome scale, we tried to explore the correlation between obesity-related traits and DNA methylation sites, based on discordant monozygotic twin pairs. A total of 90 pairs of 6-17 year-old twins were recruited in Chaoyang district, Yanqing district and Fangshan district in Beijing in 2016. Information on twins was gathered through a self-designed questionnaire and from physical examination, including height, weight and waist circumference of the subjects under study. DNA methylation detection was chosen on the Illumina Human Methylation EPIC BeadChip. R 3.3.1 language was used to read the DNA methylation signal under quality control on samples and probes. Ebayes function of empirical Bayes paired moderated -test was used to identify the differential methylated CpG sites (DMCs). VarFit function of empirical Bayes paired moderated Levene test was used to identify the differentially variables CpG sits (DVCs) in obese and normal groups. Results According to the obesity discordance criteria, we collected 23 pairs of twins (age range 7 to 16 years), including 12 male pairs. A total of 817 471 qualified CpG loci were included in the genome-wide correlation analysis. According to the significance level of set as <0.05, no positive sites would meet this standard. When DMC CpG site cg05684382, with the smallest value (1.26E-06) as on chromosome 12, the DVC CpG site cg26188191 with the smallest value (6.44E-06) appeared in CMIP gene on chromosome 16. In this study, we analyzed the genome-wide DNA methylation and its correlation with obesity traits. After multiple testing corrections, no positive sites were found to have associated with obesity. However, results from the correlation analysis demonstrated sites cg05684382 (chr: 12) and cg26188191 (chr: 16) might have played a role in the development of obesity. This study provides a methodologic reference for the studies on discordance twins related problems.
在全基因组范围内,我们试图基于不一致的同卵双胞胎对,探索肥胖相关性状与DNA甲基化位点之间的相关性。2016年,在北京朝阳区、延庆区和房山区招募了总共90对6至17岁的双胞胎。通过自行设计的问卷以及体检收集双胞胎的信息,包括研究对象的身高、体重和腰围。在Illumina Human Methylation EPIC BeadChip上进行DNA甲基化检测。使用R 3.3.1语言读取经质量控制的样本和探针上的DNA甲基化信号。使用经验贝叶斯配对适度检验的Ebayes函数来识别差异甲基化的CpG位点(DMC)。使用经验贝叶斯配对适度Levene检验的VarFit函数来识别肥胖组和正常组中差异可变的CpG位点(DVC)。结果根据肥胖不一致标准,我们收集了23对双胞胎(年龄范围7至16岁),其中包括12对男性双胞胎。全基因组相关性分析共纳入817471个合格的CpG位点。按照设定的显著性水平<0.05,没有阳性位点符合该标准。当位于12号染色体上的DMC CpG位点cg05684382的p值最小(1.26E - 06)时,位于16号染色体上CMIP基因中的DVC CpG位点cg26188191的p值最小(6.44E - 06)。在本研究中,我们分析了全基因组DNA甲基化及其与肥胖性状的相关性。经过多次检验校正后,未发现有与肥胖相关的阳性位点。然而,相关性分析结果表明,位点cg05684382(染色体:12)和cg26188191(染色体:16)可能在肥胖的发生发展中发挥了作用。本研究为不一致双胞胎相关问题的研究提供了方法学参考。