Published In
Annals of Human Genetics
Document Type
Post-Print
Publication Date
12-6-2010
Subjects
Reconstructability Analysis, Information Theory, Probabilistic graphical modeling, Multivariate analysis discrete multivariate modeling, Data mining
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.
DOI
10.1111/j.1469-1809.2010.00628.x
Persistent Identifier
http://archives.pdx.edu/ds/psu/11012
Citation Details
Zwick, M. (2011). Reconstructability Analysis of Epistasis. Annals Of Human Genetics, 75(1), 157-171.
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: https://doi.org/10.1111/j.1469-1809.2010.00628.x