EWAS Atlas: a curated knowledgebase of epigenome-wide association studies

Abstract 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 compr...

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Published inNucleic acids research Vol. 47; no. D1; pp. D983 - D988
Main Authors Li, Mengwei, Zou, Dong, Li, Zhaohua, Gao, Ran, Sang, Jian, Zhang, Yuansheng, Li, Rujiao, Xia, Lin, Zhang, Tao, Niu, Guangyi, Bao, Yiming, Zhang, Zhang
Format Journal Article
LanguageEnglish
Published England Oxford University Press 08.01.2019
Subjects
Data Curation
Database Issue
Databases, Genetic
DNA Methylation
Epigenesis, Genetic
Epigenome
Genetic Association Studies
Genome-Wide Association Study
Knowledge Bases
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Summary:Abstract 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.
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The authors wish it to be known that, in their opinion, these authors should be regarded as Joint First Authors.
ISSN:0305-1048
1362-4962
1362-4962
DOI:10.1093/nar/gky1027