摘要目的 基于肥胖不一致双生子人群,在全基因组范围内探索与儿童青少年肥胖相关的DNA甲基化位点.方法 2016年在北京市朝阳区、延庆区及房山区招募90对6～17周岁双生子,通过问卷调查和体格检查收集双生子个人信息以及身高、体重、腰围等;通过美国Illumina公司EPIC芯片进行全基因组甲基化检测,采用R 3.3.1软件进行DNA甲基化数据读取、质量控制和统计学分析.利用肥胖不一致同卵双生子对,采用经验贝叶斯配对调整t检验和Levene检验,分别探索与肥胖相关的DNA甲基化差异位点和DNA甲基化变异差异位点.结果 根据研究定义,共纳入23对肥胖不一致同卵双生子对,年龄范围7～16岁.共有817 471个合格CpG位点纳入全基因组相关分析,未发现满足多重校正标准的肥胖相关DNA甲基化阳性位点,P值最小的DNA甲基化差异位点为12号染色体上的位点cg05684382(P=1.26E-06,FDR＞ 0.05),P值最小的DNA甲基化变异差异位点为16号染色体CMIP基因主体上的位点cg26188191(P=6.44E-06,FDR＞0.05),均为EPIC芯片新增位点.结论 基于本研究人群,研究未发现满足显著性要求的肥胖相关DNA甲基化阳性位点,但分析提示cg05684382、cg26188191可能与肥胖发生相关.

abstractsObjective On whole-genome scale,we tried to explore the correlation between obesity-related traits and DNA methylation sites,based on discordant monozygotic twin pairs.Methods 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 results 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 t-test was used to identify the differential methylated CpG sites (DMCs).VarFit function of emp irical 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 FDR set as ＜0.05,no positive sites would meet this standard.When DMC CpG site cg05684382,with the smallest P value (1.26E-06) as on chromosome 12,the DVC CpG site cg26188191 with the smallest P value (6.44E-06) appeared in CMIP gene on chromosome 16.Conclusions 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.