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

被引:8
|
作者
Hussain, Waseem [1 ,2 ]
Campbell, Malachy [1 ,2 ]
Walia, Harkamal [2 ]
Morota, Gota [1 ,3 ]
机构
[1] Univ Nebraska, Dept Anim Sci, Lincoln, NE USA
[2] Univ Nebraska, Dept Agron & Hort, Lincoln, NE USA
[3] Virginia Polytech Inst & State Univ, Dept Anim & Poultry Sci, Blacksburg, VA 24061 USA
基金
美国国家科学基金会;
关键词
genome-wide association studies; interactive visualization; longitudinal traits; ShinyAIM;
D O I
10.1002/pld3.91
中图分类号
Q94 [植物学];
学科分类号
071001 ;
摘要
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.
引用
收藏
页数:4
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