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Nucleic Acids Res. 2019 Jan 8;47(D1):D989-D993. doi: 10.1093/nar/gky942.

EWASdb: epigenome-wide association study database.

Liu D1,2, Zhao L1,2, Wang Z1,2, Zhou X1,2, Fan X1,2, Li Y2, Xu J1,2, Hu S1,2, Niu M1,2, Song X1,2, Li Y1,2, Zuo L1,2, Lei C1,2, Zhang M2,3, Tang G4, Huang M2,3, Zhang N1,2, Duan L1, Lv H1, Zhang M1, Li J1, Xu L1,2, Kong F5, Feng R2,3, Jiang Y1,2.

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College of Bioinformatics Science and Technology, Harbin Medical University, Harbin, China.
Training Center for Students Innovation and Entrepreneurship Education, Harbin Medical University, Harbin, China.
Department of Nutrition and Food Hygiene, Public Health College, Harbin Medical University, Harbin, China.
The Fourth Affiliated Hospital, Zhejiang University School of Medicine, Zhejiang, China.
Department of Nephrology, The Second Affiliated Hospital, Harbin Medical University, Harbin, China.


DNA methylation, the most intensively studied epigenetic modification, plays an important role in understanding the molecular basis of diseases. Furthermore, epigenome-wide association study (EWAS) provides a systematic approach to identify epigenetic variants underlying common diseases/phenotypes. However, there is no comprehensive database to archive the results of EWASs. To fill this gap, we developed the EWASdb, which is a part of 'The EWAS Project', to store the epigenetic association results of DNA methylation from EWASs. In its current version (v 1.0, up to July 2018), the EWASdb has curated 1319 EWASs associated with 302 diseases/phenotypes. There are three types of EWAS results curated in this database: (i) EWAS for single marker; (ii) EWAS for KEGG pathway and (iii) EWAS for GO (Gene Ontology) category. As the first comprehensive EWAS database, EWASdb has been searched or downloaded by researchers from 43 countries to date. We believe that EWASdb will become a valuable resource and significantly contribute to the epigenetic research of diseases/phenotypes and have potential clinical applications. EWASdb is freely available at or

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