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ViSEN: methodology and software for visualization of statistical epistasis networks
Ting Hu1, Yuanzhu Chen, Jeff W Kiralis
1Institute for Quantitative Biomedical Sciences, Dartmouth College, New Hampshire, USA.
Genetic Epidemiology
|March 8, 2013
Summary
ViSEN analyzes complex genetic interactions, including three-way epistasis, to reveal disease architecture. This tool visualizes genetic networks, aiding hypothesis generation for complex human diseases.
Area of Science:
- Genetics
- Bioinformatics
- Computational Biology
Background:
- Epistasis, or nonlinear interactions among genes, is crucial for understanding complex human diseases and traits.
- Current epistasis studies often focus on two-way interactions due to computational and statistical challenges.
Purpose of the Study:
- To develop a tool, ViSEN, for analyzing and visualizing both two-way and three-way epistatic interactions.
- To provide a global interaction map to aid in understanding genetic architecture.
Main Methods:
- ViSEN analyzes genetic data to identify significant epistatic interactions.
- The tool visualizes these interactions, revealing neighborhood and clustering patterns.
Main Results:
- ViSEN successfully identifies strong two-way and three-way genetic interactions.
- A global interaction map is generated, illustrating the structure of genetic networks.
Conclusions:
- ViSEN facilitates the inference of complex disease genetic architectures.
- The visualization capabilities of ViSEN support the generation of hypotheses for biological validation.
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