The EWAS Catalog: a database of epigenome-wide association studies [version 2; peer review: 2 approved]

Autor: Ryan Langdon, Matthew Suderman, Oliver Whitehurst, Hannah R. Elliott, Luke Mahoney, Matthew A. Lee, Caroline L. Relton, Giulia Mancano, Abigail C. Lay, Sarah H. Watkins, James R. Staley, Gibran Hemani, Thomas Battram, Gemma Crawford, Paul Yousefi, Mahsa Sheikhali Babaei, Tom R. Gaunt, Claire Prince, Charlie Hatcher, Gemma Sharp, Sahar Khodabakhsh, María Jesús Vega-Salas
Jazyk: angličtina
Rok vydání: 2022
Předmět:
Zdroj: Wellcome Open Research, Vol 7 (2022)
Druh dokumentu: article
ISSN: 2398-502X
DOI: 10.12688/wellcomeopenres.17598.2
Popis: 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
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