Format

Send to

Choose Destination
Nucleic Acids Res. 2020 Jan 8;48(D1):D890-D895. doi: 10.1093/nar/gkz840.

EWAS Data Hub: a resource of DNA methylation array data and metadata.

Xiong Z1,2,3,4, Li M1,2,3,4, Yang F1,2,3,4, Ma Y1,2,3, Sang J1,2,3,4, Li R1,2,3, Li Z1,2,3,5, Zhang Z1,2,3,4,5, Bao Y1,2,3,4,5.

Author information

1
National Genomics Data Center, Beijing 100101, China.
2
BIG Data Center, Beijing Institute of Genomics, Chinese Academy of Sciences, Beijing 100101, China.
3
CAS Key Laboratory of Genome Sciences and Information, Beijing Institute of Genomics, Chinese Academy of Sciences, Beijing 100101, China.
4
College of Life Sciences, University of Chinese Academy of Sciences, Beijing 100049, China.
5
School of Future Technology, University of Chinese Academy of Sciences, Beijing 100049, China.

Abstract

Epigenome-Wide Association Study (EWAS) has become an effective strategy to explore epigenetic basis of complex traits. Over the past decade, a large amount of epigenetic data, especially those sourced from DNA methylation array, has been accumulated as the result of numerous EWAS projects. We present EWAS Data Hub (https://bigd.big.ac.cn/ewas/datahub), a resource for collecting and normalizing DNA methylation array data as well as archiving associated metadata. The current release of EWAS Data Hub integrates a comprehensive collection of DNA methylation array data from 75 344 samples and employs an effective normalization method to remove batch effects among different datasets. Accordingly, taking advantages of both massive high-quality DNA methylation data and standardized metadata, EWAS Data Hub provides reference DNA methylation profiles under different contexts, involving 81 tissues/cell types (that contain 25 brain parts and 25 blood cell types), six ancestry categories, and 67 diseases (including 39 cancers). In summary, EWAS Data Hub bears great promise to aid the retrieval and discovery of methylation-based biomarkers for phenotype characterization, clinical treatment and health care.

Supplemental Content

Full text links

Icon for Silverchair Information Systems Icon for PubMed Central
Loading ...
Support Center