Silva Tiago C, Young Juan I, Martin Eden R, Chen X Steven, Wang Lily
Department of Public Health Sciences, University of Miami Miller School of Medicine, Miami, FL 33136, USA.
Dr. John T. Macdonald Foundation Department of Human Genetics, University of Miami Miller School of Medicine, Miami, FL 33136, USA.
Nucleic Acids Res. 2022 May 20;50(9):e51. doi: 10.1093/nar/gkac030.
Epigenome-wide association studies often detect many differentially methylated sites, and many are located in distal regulatory regions. To further prioritize these significant sites, there is a critical need to better understand the functional impact of CpG methylation. Recent studies demonstrated that CpG methylation-dependent transcriptional regulation is a widespread phenomenon. Here, we present MethReg, an R/Bioconductor package that analyzes matched DNA methylation and gene expression data, along with external transcription factor (TF) binding information, to evaluate, prioritize and annotate CpG sites with high regulatory potential. At these CpG sites, TF-target gene associations are often only present in a subset of samples with high (or low) methylation levels, so they can be missed by analyses that use all samples. Using colorectal cancer and Alzheimer's disease datasets, we show MethReg significantly enhances our understanding of the regulatory roles of DNA methylation in complex diseases.
全基因组关联研究常常能检测到许多差异甲基化位点,其中许多位于远端调控区域。为了进一步筛选出这些重要位点,迫切需要更好地了解CpG甲基化的功能影响。最近的研究表明,依赖于CpG甲基化的转录调控是一种普遍现象。在此,我们展示了MethReg,这是一个R/Bioconductor软件包,它分析匹配的DNA甲基化和基因表达数据,以及外部转录因子(TF)结合信息,以评估、筛选并注释具有高调控潜力的CpG位点。在这些CpG位点,TF-靶基因关联通常仅存在于甲基化水平高(或低)的部分样本中,因此使用所有样本进行分析时可能会遗漏它们。通过使用结直肠癌和阿尔茨海默病数据集,我们表明MethReg显著增强了我们对DNA甲基化在复杂疾病中调控作用的理解。