ShinyAIM: Shiny-based application of interactive Manhattan plots for longitudinal genome-wide association studies

ShinyAIM: Shiny-based application of interactive Manhattan plots for longitudinal genome-wide association studies
复制标题

DOI:
10.1002/pld3.91
复制
发表时间:
2018-10-01
期刊:
影响因子:
3
通讯作者:
Morota, Gota
Morota, Gota
中科院分区:
生物学3区
文献类型:
--
作者:
Hussain, Waseem;Campbell, Malachy;Morota, Gota

文献摘要

被引文献

相似文献

由于基于传感器的非破坏性表型分析平台的进步,研究人员越来越多地收集具有更高时间分辨率的数据。在几个时间点收集的这些表型被归类为纵向性状,并用于全基因组关联研究(GWAS)。纵向GWAS通常会产生大量的输出文件,这对数据解释和可视化构成了重大挑战。高效,动态和综合的数据可视化工具是必不可少的纵向GWAS结果的生物学家的解释,但是,这些工具并没有广泛提供给社会。我们已经开发了一个灵活的和用户友好的基于Shiny的在线应用程序,ShinyAIM,动态查看和解释时间GWAS结果。该应用程序的主要功能包括(a)单个时间点的交互式曼哈顿图,(B)同时查看所有时间点的曼哈顿图的网格图,(c)p值过滤的选定标记物的动态散点图,以研究跨时间点的共定位基因组区域,(d)交互式表型数据可视化,以捕获表型的变化和趋势。该应用程序完全用R语言编写,可以在有限的编程经验下使用。ShinyAIM作为Shiny Web服务器应用程序在线部署在https://chikudaisei.shinyapps.io/shinyaim/,用户无需安装即可轻松访问。应用程序也可以在RStudio中的本地机器上启动。
Owning to advancements in sensor-based, non-destructive phenotyping platforms, researchers are increasingly collecting data with higher temporal resolution. These phenotypes collected over several time points are cataloged as longitudinal traits and used for genome-wide association studies (GWAS). Longitudinal GWAS typically yield a large number of output files, posing a significant challenge to data interpretation and visualization. Efficient, dynamic, and integrative data visualization tools are essential for the interpretation of longitudinal GWAS results for biologists; however, these tools are not widely available to the community. We have developed a flexible and user-friendly Shiny-based online application, ShinyAIM, to dynamically view and interpret temporal GWAS results. The main features of the application include (a) interactive Manhattan plots for single time points, (b) a grid plot to view Manhattan plots for all time points simultaneously, (c) dynamic scatter plots for p-value-filtered selected markers to investigate co-localized genomic regions across time points, (d) and interactive phenotypic data visualization to capture variation and trends in phenotypes. The application is written entirely in the R language and can be used with limited programming experience. ShinyAIM is deployed online as a Shiny web server application at https://chikudaisei.shinyapps.io/shinyaim/, enabling easy access for users without installation. The application can also be launched on a local machine in RStudio.