BMC Genomics | |
Genetic analysis of DNA methylation and gene expression levels in whole blood of healthy human subjects | |
关键词: DNA methylation; Gene expression; Association; Epigenetics; WGCNA; | |
DOI : 10.1186/1471-2164-13-636 | |
来源: DOAJ |
【 摘 要 】
Abstract
Background
The predominant model for regulation of gene expression through DNA methylation is an inverse association in which increased methylation results in decreased gene expression levels. However, recent studies suggest that the relationship between genetic variation, DNA methylation and expression is more complex.
Results
Systems genetic approaches for examining relationships between gene expression and methylation array data were used to find both negative and positive associations between these levels. A weighted correlation network analysis revealed that i) both transcriptome and methylome are organized in modules, ii) co-expression modules are generally not preserved in the methylation data and vice-versa, and iii) highly significant correlations exist between co-expression and co-methylation modules, suggesting the existence of factors that affect expression and methylation of different modules (i.e.,
Conclusions
Our results provide new insights into the complex mechanisms between genetic markers, epigenetic mechanisms and gene expression. We find strong support for the classical model of genetic variants regulating methylation, which in turn regulates gene expression. Moreover we show that, although the methylation and expression modules differ, they are highly correlated.
【 授权许可】
Unknown