Abstract
Logic regression has been recognized as a tool that can identify and model non-additive genetic interactions using Boolean logic groups. Logic regression, TASSEL-GLM and SAS-GLM were compared for analytical precision using a previously characterized model system to identify the best genetic model explaining epistatic interaction of vernalization-sensitivity in barley. A genetic model containing two molecular markers identified in vernalization response in barley was selected using logic regression while both TASSEL-GLM and SAS-GLM included spurious associations in their models. The results also suggest the logic regression can be used to identify dominant/recessive relationships between epistatic alleles through its use of conjugateoperators.
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Parker, T., Szucs, P., Mahaffee, W. et al. Statistical Modeling of Epistasis and Linkage Decay using Logic Regression. Nat Prec (2008). https://doi.org/10.1038/npre.2008.1386.2
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DOI: https://doi.org/10.1038/npre.2008.1386.2