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表观基因组关联研究数据库:EWAS Catalog

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

作者信息

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

机构信息

MRC Integrative Epidemiology Unit, University of Bristol, Bristol, BS8 1TH, UK.

Bristol Medical School, University of Bristol, Bristol, BS8 1TH, UK.

出版信息

Wellcome Open Res. 2022 May 31;7:41. doi: 10.12688/wellcomeopenres.17598.2. eCollection 2022.

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 ) 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.

摘要

全基因组关联研究(EWAS)旨在量化性状/暴露因素与全基因组中数千或数百万个CpG位点处测得的DNA甲基化之间的关联。近年来,基于人群的队列研究和病例对照研究中DNA甲基化测量方法可用性的提高,导致进行和发表的EWAS数量急剧增加。为了使这些丰富的研究结果更容易获取,我们手动整理了一个来自已发表的EWAS的CpG-性状关联数据库(p<1x10),每项研究至少对100名个体中的100,000多个CpG进行检测。截至2022年1月7日,EWAS目录包含来自2686项EWAS的1,737,746个关联。其中包括来自342篇同行评审出版物的1,345,398个关联。此外,它还包含来自427项EWAS的392,348个关联的汇总统计数据,这些数据是基于阿冯父母与儿童纵向研究(ALSPAC)和基因表达综合数据库(GEO)的数据进行的。该数据库配有一个基于网络的工具和R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因素对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的作者将他们的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可在此处找到:http://www.ewascatalog.org/upload。EWAS目录可在http://www.ewascatalog.org上获取。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9ac2/9156893/ddcc8bdb99a0/wellcomeopenres-7-19877-g0000.jpg

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