ShinyAIM: Shiny-based application of interactive Manhattan plots for longitudinal genome-wide association studies
被引:8
|
作者:
Hussain, Waseem
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机构:
Univ Nebraska, Dept Anim Sci, Lincoln, NE USA
Univ Nebraska, Dept Agron & Hort, Lincoln, NE USAUniv Nebraska, Dept Anim Sci, Lincoln, NE USA
Hussain, Waseem
[1
,2
]
Campbell, Malachy
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机构:
Univ Nebraska, Dept Anim Sci, Lincoln, NE USA
Univ Nebraska, Dept Agron & Hort, Lincoln, NE USAUniv Nebraska, Dept Anim Sci, Lincoln, NE USA
Campbell, Malachy
[1
,2
]
Walia, Harkamal
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机构:
Univ Nebraska, Dept Agron & Hort, Lincoln, NE USAUniv Nebraska, Dept Anim Sci, Lincoln, NE USA
Walia, Harkamal
[2
]
Morota, Gota
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机构:
Univ Nebraska, Dept Anim Sci, Lincoln, NE USA
Virginia Polytech Inst & State Univ, Dept Anim & Poultry Sci, Blacksburg, VA 24061 USAUniv Nebraska, Dept Anim Sci, Lincoln, NE USA
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
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.
机构:
Univ Milan, Angelo Bianchi Bonomi Hemophilia & Thrombosis Ctr, Mangiagalli & Regina Elena Fdn,Luigi Villa Fdn, IRCCS,Maggiore Hosp,Dept Med & Med Special, I-20122 Milan, ItalyUniv Milan, Angelo Bianchi Bonomi Hemophilia & Thrombosis Ctr, Mangiagalli & Regina Elena Fdn,Luigi Villa Fdn, IRCCS,Maggiore Hosp,Dept Med & Med Special, I-20122 Milan, Italy
机构:
Univ Cambridge, Strangeways Res Lab, Canc Res UK Genet Epidemiol Unit, Cambridge CB1 8RN, EnglandUniv Cambridge, Strangeways Res Lab, Canc Res UK Genet Epidemiol Unit, Cambridge CB1 8RN, England
Easton, Douglas F.
Eeles, Rosalind A.
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机构:
Inst Canc Res, Translat Canc Genet Team, Sutton SM2 5NG, Surrey, England
Royal Marsden NHS Fdn Trust, Sutton SM2 5NG, Surrey, England
Royal Marsden NHS Fdn Trust, London SW3 6JJ, EnglandUniv Cambridge, Strangeways Res Lab, Canc Res UK Genet Epidemiol Unit, Cambridge CB1 8RN, England