Database Commons

a catalog of biological databases

e.g., animal; RNA; Methylation; China

Database information

EWAS Atlas (Epigenome-Wide Association Study Atlas)

General information

Description: A knowledgebase of epigenome-wide association studies
Year founded: 2018
Last update: 2018
Version:
Accessibility:
Manual:
Accessible
Real time : Checking...
Country/Region: China
Data type:
DNA
Data object:
Database category:
Major organism:
Keywords:

Contact information

University/Institution: Beijing Institute of Genomics, Chinese Academy of Sciences
Address:
City: Beijing
Province/State:
Country/Region: China
Contact name (PI/Team): Zhang Zhang
Contact email (PI/Helpdesk): zhangzhang@big.ac.cn

Record metadata

Created on: 2019-03-06
Curated by:
Dong Zou [2019-09-09]
Lina Ma [2019-03-08]
Dong Zou [2019-03-07]
Dong Zou [2019-03-06]

Ranking

All databases:
1017/4656 (78.179%)
Modification:
44/194 (77.835%)
Standard ontology and nomenclature:
55/183 (70.492%)
Literature:
61/295 (79.661%)
1017
Total Rank
7
Citations
7
z-index

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Publications

30364969
EWAS Atlas: a curated knowledgebase of epigenome-wide association studies. [PMID: 30364969]
Mengwei Li, Dong Zou, Zhaohua Li, Ran Gao, Jian Sang, Yuansheng Zhang, Rujiao Li, Lin Xia, Tao Zhang, Guangyi Niu, Yiming Bao, Zhang Zhang

Epigenome-Wide Association Study (EWAS) has become increasingly significant in identifying the associations between epigenetic variations and different biological traits. In this study, we develop EWAS Atlas (http://bigd.big.ac.cn/ewas), a curated knowledgebase of EWAS that provides a comprehensive collection of EWAS knowledge. Unlike extant data-oriented epigenetic resources, EWAS Atlas features manual curation of EWAS knowledge from extensive publications. In the current implementation, EWAS Atlas focuses on DNA methylation-one of the key epigenetic marks; it integrates a large number of 329 172 high-quality EWAS associations, involving 112 tissues/cell lines and covering 305 traits, 1830 cohorts and 390 ontology entities, which are completely based on manual curation from 649 studies reported in 401 publications. In addition, it is equipped with a powerful trait enrichment analysis tool, which is capable of profiling trait-trait and trait-epigenome relationships. Future developments include regular curation of recent EWAS publications, incorporation of more epigenetic marks and possible integration of EWAS with GWAS. Collectively, EWAS Atlas is dedicated to the curation, integration and standardization of EWAS knowledge and has the great potential to help researchers dissect molecular mechanisms of epigenetic modifications associated with biological traits.

Nucleic Acids Res. 2019:47(D1) | 7 Citations (from Europe PMC, 2020-08-08)