Published In

Annals of Human Genetics

Document Type

Post-Print

Publication Date

2011

Subjects

Epistasis (Genetics), Information theory, occam (Computer program language), Bioinformatics, Genes

Abstract

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 (Shervais et al., 2010). 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, statebased 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.

Description

Author's version of an article that subsequently appeared in Annals of Human Genetics, vol. 75, issue 1, pp. 157-171, published by Blackwell Publishing Ltd/University College London. The version of record may be found at http://dx.doi.org/10.1111/j.1469-809.2010.00628.x.

DOI

10.1111/j.1469-1809.2010.00628.x

Persistent Identifier

http://archives.pdx.edu/ds/psu/16512

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