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. 2022 May 31:7:41.
doi: 10.12688/wellcomeopenres.17598.2. eCollection 2022.

The EWAS Catalog: a database of epigenome-wide association studies

Affiliations

The EWAS Catalog: a database of epigenome-wide association studies

Thomas Battram et al. Wellcome Open Res. .

Abstract

Epigenome-wide association studies (EWAS) seek to quantify associations between traits/exposures and DNA methylation measured at thousands or millions of CpG sites across the genome. In recent years, the increase in availability of DNA methylation measures in population-based cohorts and case-control studies has resulted in a dramatic expansion of the number of EWAS being performed and published. To make this rich source of results more accessible, we have manually curated a database of CpG-trait associations (with p<1x10 -4) from published EWAS, each assaying over 100,000 CpGs in at least 100 individuals. From January 7, 2022, The EWAS Catalog contained 1,737,746 associations from 2,686 EWAS. This includes 1,345,398 associations from 342 peer-reviewed publications. In addition, it also contains summary statistics for 392,348 associations from 427 EWAS, performed on data from the Avon Longitudinal Study of Parents and Children (ALSPAC) and the Gene Expression Omnibus (GEO). The database is accompanied by a web-based tool and R package, giving researchers the opportunity to query EWAS associations quickly and easily, and gain insight into the molecular underpinnings of disease as well as the impact of traits and exposures on the DNA methylome. The EWAS Catalog data extraction team continue to update the database monthly and we encourage any EWAS authors to upload their summary statistics to our website. Details of how to upload data can be found here: http://www.ewascatalog.org/upload. The EWAS Catalog is available at http://www.ewascatalog.org.

Keywords: ALSPAC; EWAS; database; epigenetics; epigenome-wide.

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Conflict of interest statement

No competing interests were disclosed.

Figures

Figure 1.
Figure 1.. Project flowchart.
On the left is a brief description of how we assembled CpG-phenotype associations from published works and on the right is a brief description of the EWAS performed using individual level data.
Figure 2.
Figure 2.. The EWAS Catalog home page.
From here users can search the database, view documentation, and navigate to pages that allow for download of the full database and upload of user results. An example of results can be found in Figure 3.
Figure 3.
Figure 3.. Example of results from The EWAS Catalog website.
These results can be extracted by clicking the “Download” button at the bottom of the figure. This download will include extra study information, such as age, sex and reported ancestry of study participants.

References

    1. Relton CL, Smith GD: Epigenetic Epidemiology of Common Complex Disease: Prospects for Prediction, Prevention, and Treatment. PLoS Med. 2010;7(10):e1000356. 10.1371/journal.pmed.1000356 - DOI - PMC - PubMed
    1. Mill J, Heijmans BT: From promises to practical strategies in epigenetic epidemiology. Nat Rev Genet. 2013;14(8):585–594. 10.1038/nrg3405 - DOI - PubMed
    1. Rakyan VK, Down TA, Balding DJ, et al. : Epigenome-wide association studies for common human diseases. Nat Rev Genet. 2011;12(8):529–541. 10.1038/nrg3000 - DOI - PMC - PubMed
    1. Li M, Zou D, Li Z, et al. : EWAS Atlas: A curated knowledgebase of epigenome-wide association studies. Nucleic Acids Res. 2019;47(D1):D983–D988. 10.1093/nar/gky1027 - DOI - PMC - PubMed
    1. Huang WY, Hsu SD, Huang HY, et al. : MethHC: A database of DNA methylation and gene expression in human cancer. Nucleic Acids Res. 2015;43(Database issue):D856–61. 10.1093/nar/gku1151 - DOI - PMC - PubMed

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