Xuanming Hong, Hui Cao, Weihua Cao, Jun Lv, Canqing Yu, Tao Huang, Dianjianyi Sun, Chunxiao Liao, Yuanjie Pang, Runhua Hu, Ruqin Gao, Min Yu, Jinyi Zhou, Xianping Wu, Yu Liu, Shengli Yin, Wenjing Gao, Liming Li
{"title":"基因对DNA甲基化和肥胖测量之间关联的影响:来自双胞胎研究设计的见解。","authors":"Xuanming Hong, Hui Cao, Weihua Cao, Jun Lv, Canqing Yu, Tao Huang, Dianjianyi Sun, Chunxiao Liao, Yuanjie Pang, Runhua Hu, Ruqin Gao, Min Yu, Jinyi Zhou, Xianping Wu, Yu Liu, Shengli Yin, Wenjing Gao, Liming Li","doi":"10.1186/s13578-025-01446-2","DOIUrl":null,"url":null,"abstract":"<p><strong>Background: </strong>Both obesity and DNA methylation (DNAm) are influenced by genetic factors. Despite more than a thousand of obesity-related DNAm sites (CpGs) being identified, studies that account for genetic influences in these associations are limited.</p><p><strong>Results: </strong>Using data from 1,074 twins in the Chinese National Twin Registry and bivariate structural equation models (SEMs), we investigated the phenotypic (Rph), genetic (Ra), and environmental (Re) correlations between genome-wide DNAm and three obesity indices: BMI, waist circumference (WC), and waist-to-hip ratio (WHR). Genome-wide, correlations between DNAm and obesity were small (Rph = 0.04, Ra = 0.08-0.09, Re = 0.02-0.03). For CpGs with high phenotypic correlation (Rph > 0.1), the mean genetic and environmental correlations were 0.23-0.24 and 0.03-0.05, respectively, indicating significant genetic influence on the DNAm-obesity associations. To further investigate the role of genetic influences, we then categorized the CpGs into different groups: high phenotypic correlation (Rph ≥ 0.2); high phenotypic and genetic correlations (Rph > 0.1 and Ra > 0.5); high phenotypic and low genetic correlations (Rph > 0.1 and Ra < 0.5). Association studies were conducted in the full population and in the monozygotic (MZ) twin-paired design, where genetic influences were controlled. For CpGs with Rph ≥ 0.2, 9, 8, and 22 were associated with BMI, WC, and WHR in the full population, but only 6, 1, and 1 CpGs remained significant after controlling for genetic effects in MZ twin-pair analyses. For CpGs with Rph > 0.1 and Ra > 0.5, genetic factors predominantly drove the association, and none of the 155/155/189 CpGs associated with BMI/WC/WHR in the full population were significant in MZ-paired analyses. For CpGs with Rph > 0.1 and Ra < 0.1, genetic effects were minimal or confounding, with 89, 4, and 17 significant in both full population and MZ-paired analyses.</p><p><strong>Conclusions: </strong>Our results highlight the significant genetic influences on the DNAm-obesity relationships, which may explain the low replicability of obesity-related DNAm markers. 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Despite more than a thousand of obesity-related DNAm sites (CpGs) being identified, studies that account for genetic influences in these associations are limited.</p><p><strong>Results: </strong>Using data from 1,074 twins in the Chinese National Twin Registry and bivariate structural equation models (SEMs), we investigated the phenotypic (Rph), genetic (Ra), and environmental (Re) correlations between genome-wide DNAm and three obesity indices: BMI, waist circumference (WC), and waist-to-hip ratio (WHR). Genome-wide, correlations between DNAm and obesity were small (Rph = 0.04, Ra = 0.08-0.09, Re = 0.02-0.03). For CpGs with high phenotypic correlation (Rph > 0.1), the mean genetic and environmental correlations were 0.23-0.24 and 0.03-0.05, respectively, indicating significant genetic influence on the DNAm-obesity associations. To further investigate the role of genetic influences, we then categorized the CpGs into different groups: high phenotypic correlation (Rph ≥ 0.2); high phenotypic and genetic correlations (Rph > 0.1 and Ra > 0.5); high phenotypic and low genetic correlations (Rph > 0.1 and Ra < 0.5). Association studies were conducted in the full population and in the monozygotic (MZ) twin-paired design, where genetic influences were controlled. For CpGs with Rph ≥ 0.2, 9, 8, and 22 were associated with BMI, WC, and WHR in the full population, but only 6, 1, and 1 CpGs remained significant after controlling for genetic effects in MZ twin-pair analyses. For CpGs with Rph > 0.1 and Ra > 0.5, genetic factors predominantly drove the association, and none of the 155/155/189 CpGs associated with BMI/WC/WHR in the full population were significant in MZ-paired analyses. 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引用次数: 0
摘要
背景:肥胖和DNA甲基化(DNAm)都受遗传因素的影响。尽管已经确定了超过1000个与肥胖相关的dna位点(CpGs),但在这些关联中解释遗传影响的研究是有限的。结果:利用中国国家双胞胎登记处1074对双胞胎的数据和双变量结构方程模型(SEMs),我们研究了全基因组DNAm与BMI、腰围(WC)和腰臀比(WHR)这三个肥胖指标之间的表型(Rph)、遗传(Ra)和环境(Re)相关性。在全基因组范围内,DNAm与肥胖的相关性较小(Rph = 0.04, Ra = 0.08-0.09, Re = 0.02-0.03)。对于高表型相关的CpGs (Rph为0.1),平均遗传相关性和环境相关性分别为0.23-0.24和0.03-0.05,表明遗传对dnam -肥胖关联有显著影响。为了进一步研究遗传影响的作用,我们将CpGs分为不同的组:高表型相关性(Rph≥0.2);表型和遗传相关性高(Rph >.1和Ra > 0.5);高表型和低遗传相关性(Rph > 0.1, Ra 0.1和Ra > 0.5),遗传因素主要驱动该关联,在mz配对分析中,与全群体BMI/WC/WHR相关的155/155/189个CpGs均不显著。结论:我们的研究结果突出了DNAm与肥胖关系的显著遗传影响,这可能解释了肥胖相关DNAm标记的低可复制性。这表明在dna相关研究中应仔细考虑遗传影响。
Genetic influences on the association between DNA methylation and obesity measures: insights from a twin study design.
Background: Both obesity and DNA methylation (DNAm) are influenced by genetic factors. Despite more than a thousand of obesity-related DNAm sites (CpGs) being identified, studies that account for genetic influences in these associations are limited.
Results: Using data from 1,074 twins in the Chinese National Twin Registry and bivariate structural equation models (SEMs), we investigated the phenotypic (Rph), genetic (Ra), and environmental (Re) correlations between genome-wide DNAm and three obesity indices: BMI, waist circumference (WC), and waist-to-hip ratio (WHR). Genome-wide, correlations between DNAm and obesity were small (Rph = 0.04, Ra = 0.08-0.09, Re = 0.02-0.03). For CpGs with high phenotypic correlation (Rph > 0.1), the mean genetic and environmental correlations were 0.23-0.24 and 0.03-0.05, respectively, indicating significant genetic influence on the DNAm-obesity associations. To further investigate the role of genetic influences, we then categorized the CpGs into different groups: high phenotypic correlation (Rph ≥ 0.2); high phenotypic and genetic correlations (Rph > 0.1 and Ra > 0.5); high phenotypic and low genetic correlations (Rph > 0.1 and Ra < 0.5). Association studies were conducted in the full population and in the monozygotic (MZ) twin-paired design, where genetic influences were controlled. For CpGs with Rph ≥ 0.2, 9, 8, and 22 were associated with BMI, WC, and WHR in the full population, but only 6, 1, and 1 CpGs remained significant after controlling for genetic effects in MZ twin-pair analyses. For CpGs with Rph > 0.1 and Ra > 0.5, genetic factors predominantly drove the association, and none of the 155/155/189 CpGs associated with BMI/WC/WHR in the full population were significant in MZ-paired analyses. For CpGs with Rph > 0.1 and Ra < 0.1, genetic effects were minimal or confounding, with 89, 4, and 17 significant in both full population and MZ-paired analyses.
Conclusions: Our results highlight the significant genetic influences on the DNAm-obesity relationships, which may explain the low replicability of obesity-related DNAm markers. This indicates that genetic influences should be carefully considered in DNAm-related studies.
期刊介绍:
Cell and Bioscience, the official journal of the Society of Chinese Bioscientists in America, is an open access, peer-reviewed journal that encompasses all areas of life science research.