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Ten Years of EWAS

Siyu Wei, Junxian Tao, Jing Xu, Xingyu Chen, Zhaoyang Wang, Nan Zhang, Lijiao Zuo, Zhe Jia, Haiyan Chen, Hongmei Sun, Yubo Yan, Mingming Zhang, Hongchao Lv, Fanwu Kong, Lian Duan, Ye Ma, Mingzhi Liao, Liangde Xu, Rennan Feng, Guiyou Liu, The EWAS Project, Yongshuai Jiang

2021Advanced Science47 citationsDOIOpen Access PDF

Abstract

Epigenome-wide association study (EWAS) has been applied to analyze DNA methylation variation in complex diseases for a decade, and epigenome as a research target has gradually become a hot topic of current studies. The DNA methylation microarrays, next-generation, and third-generation sequencing technologies have prepared a high-quality platform for EWAS. Here, the progress of EWAS research is reviewed, its contributions to clinical applications, and mainly describe the achievements of four typical diseases. Finally, the challenges encountered by EWAS and make bold predictions for its future development are presented.

Topics & Concepts

EpigenomeDNA methylationComputational biologyDNA microarrayComputer scienceDNA sequencingBioinformaticsBiologyDNAGeneticsGeneGene expressionEpigenetics and DNA MethylationGenetic Associations and EpidemiologyMicroRNA in disease regulation
Ten Years of EWAS | Litcius