Yu Fangtang, Qiu Chuan, Xu Chao, Tian Qing, Zhao Lan-Juan, Wu Li, Deng Hong-Wen, Shen Hui
Center for Bioinformatics and Genomics, Department of Global Biostatistics and Data Science, School of Public Health and Tropical Medicine, Tulane University, New Orleans, LA, United States.
School of Basic Medical Science, Central South University, Changsha, China.
Front Genet. 2020 Feb 28;11:60. doi: 10.3389/fgene.2020.00060. eCollection 2020.
Osteoporosis is mainly characterized by low bone mineral density (BMD) and is an increasingly serious public health concern. DNA methylation is a major epigenetic mechanism that may contribute to the variation in BMD and may mediate the effects of genetic and environmental factors of osteoporosis. In this study, we performed an epigenome-wide DNA methylation analysis in peripheral blood monocytes of 118 Caucasian women with extreme BMD values. Further, we developed and implemented a novel analytical framework that integrates Mendelian randomization with genetic fine mapping and colocalization to evaluate the causal relationships between DNA methylation and BMD phenotype. We identified 2,188 differentially methylated CpGs (DMCs) between the low and high BMD groups and distinguished 30 DMCs that may mediate the genetic effects on BMD. The causal relationship was further confirmed by eliminating the possibility of horizontal pleiotropy, linkage effect and reverse causality. The fine-mapping analysis determined 25 causal variants that are most likely to affect the methylation levels at these mediator DMCs. The majority of the causal methylation quantitative loci and DMCs reside within cell type-specific histone mark peaks, enhancers, promoters, promoter flanking regions and CTCF binding sites, supporting the regulatory potentials of these loci. The established causal pathways from genetic variant to BMD phenotype mediated by DNA methylation provide a gene list to aid in designing future functional studies and lead to a better understanding of the genetic and epigenetic mechanisms underlying the variation of BMD.
骨质疏松症主要特征为低骨矿物质密度(BMD),是一个日益严重的公共卫生问题。DNA甲基化是一种主要的表观遗传机制,可能导致BMD的变化,并可能介导骨质疏松症的遗传和环境因素的影响。在本研究中,我们对118名具有极端BMD值的白人女性外周血单核细胞进行了全表观基因组DNA甲基化分析。此外,我们开发并实施了一种新颖的分析框架,该框架将孟德尔随机化与基因精细定位和共定位相结合,以评估DNA甲基化与BMD表型之间的因果关系。我们在低BMD组和高BMD组之间鉴定出2188个差异甲基化的CpG(DMC),并区分出30个可能介导对BMD遗传效应的DMC。通过消除水平多效性、连锁效应和反向因果关系的可能性,进一步证实了因果关系。精细定位分析确定了25个最有可能影响这些介导DMC甲基化水平的因果变异。大多数因果甲基化数量性状位点和DMC位于细胞类型特异性组蛋白标记峰、增强子、启动子、启动子侧翼区域和CTCF结合位点内,支持这些位点的调控潜力。由DNA甲基化介导的从基因变异到BMD表型的既定因果途径提供了一个基因列表,有助于设计未来的功能研究,并有助于更好地理解BMD变异背后的遗传和表观遗传机制。