Published In

Annals of Human Genetics

Document Type

Article

Publication Date

12-6-2010

Subjects

Epistasis -- Genetics, Human Genome, Graphical modeling -- Statistics, Genes, Human genetics, Information theory

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. 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.

Description

doi:10.1111/j.1469-1809.2010.00628.x

Copyright 2010 The Author. Blackwell Publishing Ltd/University College London

This was originally published by Wiley as a OnlineOpen article.

DOI

10.1111/j.1469-1809.2010.00628.x

Persistent Identifier

http://archives.pdx.edu/ds/psu/11012

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