Reconstructability Analysis of Epistasis

Authors

  • Martin Zwick

    Corresponding author
    1. Systems Science Graduate Program, Portland State University, Portland OR
      Corresponding author: Martin Zwick, Systems Science Graduate Program, Portland State University, Portland OR 97207-0751. Tel.: (503) 725-4987; Fax: (503) 725-8489; E-mail: zwick@pdx.edu
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Corresponding author: Martin Zwick, Systems Science Graduate Program, Portland State University, Portland OR 97207-0751. Tel.: (503) 725-4987; Fax: (503) 725-8489; E-mail: zwick@pdx.edu

Summary

The literature on epistasis describes various methods to detect epistatic interactions and to classify different types of epistasis. Reconstructability analysis (RA) has recently been used to detect epistasis in genomic data. This paper shows that RA offers a classification of types of epistasis at three levels of resolution (variable-based models without loops, variable-based models with loops, state-based models). These types can be defined by the simplest RA structures that model the data without information loss; a more detailed classification can be defined by the information content of multiple candidate structures. The RA classification can be augmented with structures from related graphical modeling approaches. RA can analyze epistatic interactions involving an arbitrary number of genes or SNPs and constitutes a flexible and effective methodology for genomic analysis.

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