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; Giulia Mancano; Matthew A. Lee; Sarah H. Watkins; Abigail C. Lay; Gibran Hemani; Tom R. Gaunt; Caroline L. Relton; James R. Staley; Matthew Suderman

doi:10.12688/wellcomeopenres.17598.1

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

Division of Cardiovascular Sciences (L5)

Research output: Contribution to journal › Article › peer-review

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

Original language	English
Pages (from-to)	41
Journal	Wellcome open research
Volume	7
DOIs	https://doi.org/10.12688/wellcomeopenres.17598.1
Publication status	Published - 4 Feb 2022

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Battram, T., Yousefi, P., Crawford, G., Prince, C., Babaei, M. S., Sharp, G., Hatcher, C., Vega-Salas, M. J., Khodabakhsh, S., Whitehurst, O., Langdon, R., Mahoney, L., Elliott, H. R. (Ed.), Mancano, G., Lee, M. A., Watkins, S. H., Lay, A. C. (Ed.), Hemani, G., Gaunt, T. R. (Ed.), ... Suderman, M. (2022). The EWAS Catalog: a database of epigenome-wide association studies. Wellcome open research, 7, 41. https://doi.org/10.12688/wellcomeopenres.17598.1

@article{f6d4f834c7d3477fb6ddc41da12fa573,

title = "The EWAS Catalog: a database of epigenome-wide association studies",

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",

author = "Thomas Battram and Paul Yousefi and Gemma Crawford and Claire Prince and Babaei, {Mahsa Sheikhali} and Gemma Sharp and Charlie Hatcher and Vega-Salas, {Mar{\'i}a Jes{\'u}s} and Sahar Khodabakhsh and Oliver Whitehurst and Ryan Langdon and Luke Mahoney and Elliott, {Hannah R.} and Giulia Mancano and Lee, {Matthew A.} and Watkins, {Sarah H.} and Lay, {Abigail C.} and Gibran Hemani and Gaunt, {Tom R.} and Relton, {Caroline L.} and Staley, {James R.} and Matthew Suderman",

year = "2022",

month = feb,

day = "4",

doi = "10.12688/wellcomeopenres.17598.1",

language = "English",

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Battram, T, Yousefi, P, Crawford, G, Prince, C, Babaei, MS, Sharp, G, Hatcher, C, Vega-Salas, MJ, Khodabakhsh, S, Whitehurst, O, Langdon, R, Mahoney, L, Elliott, HR (ed.), Mancano, G, Lee, MA, Watkins, SH, Lay, AC (ed.), Hemani, G, Gaunt, TR (ed.), Relton, CL (ed.), Staley, JR (ed.) & Suderman, M 2022, 'The EWAS Catalog: a database of epigenome-wide association studies', Wellcome open research, vol. 7, pp. 41. https://doi.org/10.12688/wellcomeopenres.17598.1

TY - JOUR

T1 - The EWAS Catalog: a database of epigenome-wide association studies

AU - Battram, Thomas

AU - Yousefi, Paul

AU - Crawford, Gemma

AU - Prince, Claire

AU - Babaei, Mahsa Sheikhali

AU - Sharp, Gemma

AU - Hatcher, Charlie

AU - Vega-Salas, María Jesús

AU - Khodabakhsh, Sahar

AU - Whitehurst, Oliver

AU - Langdon, Ryan

AU - Mahoney, Luke

AU - Mancano, Giulia

AU - Lee, Matthew A.

AU - Watkins, Sarah H.

AU - Hemani, Gibran

AU - Suderman, Matthew

A2 - Elliott, Hannah R.

A2 - Lay, Abigail C.

A2 - Gaunt, Tom R.

A2 - Relton, Caroline L.

A2 - Staley, James R.

PY - 2022/2/4

Y1 - 2022/2/4

N2 - 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

AB - 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

U2 - 10.12688/wellcomeopenres.17598.1

DO - 10.12688/wellcomeopenres.17598.1

M3 - Article

SN - 2398-502X

VL - 7

SP - 41

JO - Wellcome open research

JF - Wellcome open research

ER -

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

Abstract

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