Testing genotypes-phenotype relationships using permutation tests on association rules

Shaikh Mateen and Beyene Joseph ()
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Shaikh Mateen: Department of Clinical Epidemiology and Biostatistics, McMaster University, 1280 Main Street West, Hamilton, Ontario, L8S 4L8, Canada
Beyene Joseph: Department of Clinical Epidemiology and Biostatistics, McMaster University, 1280 Main Street West, Hamilton, Ontario, L8S 4L8, Canada

Statistical Applications in Genetics and Molecular Biology, 2015, vol. 14, issue 1, 83-92

Abstract: Association rule mining is a knowledge discovery technique which informs researchers about relationships between variables in data. These relationships can be focused to a specific set of response variables. We propose an augmented version of this method to discover groups of genotypes which relate to specific outcomes. We derive the methodology to find these candidate groups of genotypes and illustrate how the method works on data regarding neuroinvasive complications of West Nile virus and through simulation.

Keywords: association rules; genotypes; permutation tests; phenotypes; West Nile virus (search for similar items in EconPapers)
Date: 2015
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DOI: 10.1515/sagmb-2014-0033

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