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全血 EWAS 的细胞类型去卷积荟萃分析揭示了谱系特异性与吸烟相关的 DNA 甲基化变化。

A cell-type deconvolution meta-analysis of whole blood EWAS reveals lineage-specific smoking-associated DNA methylation changes.

机构信息

CAS Key Laboratory of Computational Biology, CAS-MPG Partner Institute for Computational Biology, Shanghai Institute of Nutrition and Health, Shanghai Institute for Biological Sciences, University of Chinese Academy of Sciences, Chinese Academy of Sciences, 320 Yue Yang Road, Shanghai, 200031, China.

Human Phenome Institute, Fudan University, 825 Zhangheng Road, Shanghai, China.

出版信息

Nat Commun. 2020 Sep 22;11(1):4779. doi: 10.1038/s41467-020-18618-y.

Abstract

Highly reproducible smoking-associated DNA methylation changes in whole blood have been reported by many Epigenome-Wide-Association Studies (EWAS). These epigenetic alterations could have important implications for understanding and predicting the risk of smoking-related diseases. To this end, it is important to establish if these DNA methylation changes happen in all blood cell subtypes or if they are cell-type specific. Here, we apply a cell-type deconvolution algorithm to identify cell-type specific DNA methylation signals in seven large EWAS. We find that most of the highly reproducible smoking-associated hypomethylation signatures are more prominent in the myeloid lineage. A meta-analysis further identifies a myeloid-specific smoking-associated hypermethylation signature enriched for DNase Hypersensitive Sites in acute myeloid leukemia. These results may guide the design of future smoking EWAS and have important implications for our understanding of how smoking affects immune-cell subtypes and how this may influence the risk of smoking related diseases.

摘要

许多全基因组关联研究(EWAS)报告了高度可重复的与吸烟相关的全血 DNA 甲基化变化。这些表观遗传改变对于理解和预测与吸烟相关疾病的风险具有重要意义。为此,重要的是要确定这些 DNA 甲基化变化是否发生在所有血细胞亚型中,还是特定于细胞类型。在这里,我们应用细胞类型去卷积算法来识别七个大型 EWAS 中的细胞类型特异性 DNA 甲基化信号。我们发现,大多数高度可重复的与吸烟相关的低甲基化特征在髓系中更为明显。荟萃分析进一步确定了一个髓系特异性与吸烟相关的高甲基化特征,该特征富含急性髓系白血病中的 DNase 超敏位点。这些结果可能指导未来吸烟 EWAS 的设计,并对我们理解吸烟如何影响免疫细胞亚型以及这如何影响与吸烟相关疾病的风险具有重要意义。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8ecc/7508850/87b699600a94/41467_2020_18618_Fig1_HTML.jpg

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