easyGWAS: A Cloud-Based Platform for Comparing the Results of Genome-Wide Association Studies
easyGWAS: A Cloud-Based Platform for Comparing the Results of Genome-Wide Association Studies
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DOI：
10.1105/tpc.16.00551
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发表时间：
2017-01-01
期刊：
影响因子：
11.6
通讯作者：
Borgwardt, Karsten M.
中科院分区：
文献类型：
--
作者：
Grimm, Dominik G.;Roqueiro, Damian;Borgwardt, Karsten M.
越来越多的物种可以获得高质量的基因类型，这使得研究人员能够利用全基因组关联研究(GWAS)以前所未有的详细程度探索复杂表型的潜在遗传结构。对不同性状的遗传多样性分析结果的系统比较开辟了新的可能性，包括对多效性效应的分析。整合多个GWAS产生的其他优势是能够复制GWAS信号，并通过荟萃分析增加检测此类信号的统计能力。为了便于对GWAS结果的简单比较，我们提供了一个强大的、独立于物种的在线资源EasyGWAS，用于计算、存储、共享、注释和比较GWAS。EasyGwas工具支持多种物种，支持上传私有的基因数据和现有GWAS的汇总统计数据，以及在交互和用户友好的界面中比较不同实验和数据集的GWAS结果的先进方法。EasyGwas也是全球气候变化数据和汇总统计数据的公共数据储存库，已经包括了几个主要全球气候变化数据和结果的公布数据和结果。我们使用与开花和生长相关的性状，以模式生物拟南芥为例，展示了easyGWAs的潜力。
The ever-growing availability of high-quality genotypes for a multitude of species has enabled researchers to explore the underlying genetic architecture of complex phenotypes at an unprecedented level of detail using genome-wide association studies (GWAS). The systematic comparison of results obtained from GWAS of different traits opens up new possibilities, including the analysis of pleiotropic effects. Other advantages that result from the integration of multiple GWAS are the ability to replicate GWAS signals and to increase statistical power to detect such signals through meta-analyses. In order to facilitate the simple comparison of GWAS results, we present easyGWAS, a powerful, species-independent online resource for computing, storing, sharing, annotating, and comparing GWAS. The easyGWAS tool supports multiple species, the uploading of private genotype data and summary statistics of existing GWAS, as well as advanced methods for comparing GWAS results across different experiments and data sets in an interactive and user-friendly interface. easyGWAS is also a public data repository for GWAS data and summary statistics and already includes published data and results from several major GWAS. We demonstrate the potential of easyGWAS with a case study of the model organism Arabidopsis thaliana, using flowering and growth-related traits.