The EWAS Catalog: a database of epigenome-wide association studies.
The EWAS Catalog: a database of epigenome-wide association studies.
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DOI：
10.12688/wellcomeopenres.17598.2
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发表时间：
2022
影响因子：
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通讯作者：
Suderman M
中科院分区：
文献类型：
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作者：
Battram T;Yousefi P;Crawford G;Prince C;Sheikhali Babaei M;Sharp G;Hatcher C;Vega-Salas MJ;Khodabakhsh S;Whitehurst O;Langdon R;Mahoney L;Elliott HR;Mancano G;Lee MA;Watkins SH;Lay AC;Hemani G;Gaunt TR;Relton CL;Staley JR;Suderman M
表观基因组关联研究（EWAS）试图量化性状/暴露与在整个基因组中数千或数百万个CpG位点上测量的DNA甲基化之间的关联。近年来，在基于人群的队列和病例对照研究中，DNA甲基化测量的可用性增加，导致EWAS的数量急剧增加。为了使这一丰富的结果来源更容易获得，我们从已发表的EWAS中手动策划了一个CpG-性状关联数据库（p<1x 10 - 4），每个数据库在至少100个个体中检测了超过100，000个CpG。从2022年1月7日起，EWAS目录包含来自2，686个EWAS的1，737，746个关联。这包括来自342篇同行评审出版物的1，345，398个协会。此外，它还包含了来自427个EWAS的392，348个关联的汇总统计数据，这些数据来自雅芳父母和儿童纵向研究（ALSPAC）和基因表达综合研究（GEO）。该数据库配有一个基于网络的工具和R软件包，使研究人员有机会快速轻松地查询EWAS关联，并深入了解疾病的分子基础以及性状和暴露对DNA甲基化组的影响。EWAS目录数据提取团队继续每月更新数据库，我们鼓励任何EWAS作者将其汇总统计数据上传到我们的网站。有关如何上传数据的详细信息，请访问：http://www.ewascatalog.org/upload。 EWAS目录可在http://www.ewascatalog.org上获得。
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.