GWAS Central: a comprehensive resource for the comparison and interrogation of genome-wide association studies.
GWAS Central: a comprehensive resource for the comparison and interrogation of genome-wide association studies.
复制标题
DOI：
10.1038/ejhg.2013.274
复制
发表时间：
2014-07
期刊：
影响因子：
--
通讯作者：
中科院分区：
文献类型：
--
作者：
为了促进对GWAS数据的广泛和方便的综合可视化和访问，我们创建了GWAS中心资源（www.gwascentral.org）。该数据库旨在提供一个综合的汇总级遗传关联数据的集合，其结构既用于最大效用，又用于安全开放访问（即，完全排除研究对象识别的非定向信号）。该资源强调先进的工具，允许从基因，基因组区域，表型或性状的角度比较和发现相关数据集。测试的标记和相关基因组特征可以在单个视图中跨多达16个多关联数据集进行可视化查询，从染色体范围视图开始，分辨率增加到单个碱基。此外，用户可以私下上传和查看自己的数据作为临时文件。通过利用表型本体注释进一步增强搜索和显示实用性，以允许在所有研究中精确地识别与表型和感兴趣的性状相关的遗传变异。我们接受个人研究人员、团体和财团提交的数据，同时我们也积极从各种公共来源收集数据集。因此，该资源现在为1600多项研究提供了超过6700万个P值，使其成为世界上最大的公开访问的GWAS关联信息汇总在线集合。
To facilitate broad and convenient integrative visualization of and access to GWAS data, we have created the GWAS Central resource (http://www.gwascentral.org). This database seeks to provide a comprehensive collection of summary-level genetic association data, structured both for maximal utility and for safe open access (i.e., non-directional signals to fully preclude research subject identification). The resource emphasizes on advanced tools that allow comparison and discovery of relevant data sets from the perspective of genes, genome regions, phenotypes or traits. Tested markers and relevant genomic features can be visually interrogated across up to 16 multiple association data sets in a single view, starting at a chromosome-wide view and increasing in resolution down to individual bases. In addition, users can privately upload and view their own data as temporary files. Search and display utility is further enhanced by exploiting phenotype ontology annotations to allow genetic variants associated with phenotypes and traits of interest to be precisely identified, across all studies. Data submissions are accepted from individual researchers, groups and consortia, whereas we also actively gather data sets from various public sources. As a result, the resource now provides over 67 million P-values for over 1600 studies, making it the world's largest openly accessible online collection of summary-level GWAS association information.
登录
查看更多内容
影响因子：
14.9
作者：
Cariaso M;Lennon G
通讯作者：
Lennon G
影响因子：
1.9
作者：
Beck, Tim;Free, Robert C.;Brookes, Anthony J.
通讯作者：
Brookes, Anthony J.
DOI：
10.1073/pnas.0903103106
发表时间：
2009-06-09
影响因子：
11.1
作者：
Hindorff, Lucia A.;Sethupathy, Praveen;Manolio, Teri A.
通讯作者：
Manolio, Teri A.
影响因子：
--
作者：
Johnson AD;O'Donnell CJ
通讯作者：
O'Donnell CJ
影响因子：
14.9
作者：
Thorisson GA;Lancaster O;Free RC;Hastings RK;Sarmah P;Dash D;Brahmachari SK;Brookes AJ
通讯作者：
Brookes AJ