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

Thomas Battram, Paul Yousefi, Gemma Crawford, Claire Prince, Mahsa Sheikhali Babaei, Gemma Sharp, Charlie Hatcher, María Jesús Vega-Salas, Sahar Khodabakhsh, Oliver Whitehurst, Ryan Langdon, Luke Mahoney, Hannah R. Elliott (Editor), Giulia Mancano, Matthew A. Lee, Sarah H. Watkins, Abigail C. Lay (Editor), Gibran Hemani, Tom R. Gaunt (Editor), Caroline L. Relton (Editor)James R. Staley (Editor), Matthew Suderman

Research output: Contribution to journalArticlepeer-review


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
Original languageEnglish
Pages (from-to)41
JournalWellcome open research
Publication statusPublished - 4 Feb 2022


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