title: Testing genotypes-phenotype relationships using permutation tests on association rules.
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.
authors.forename: Mateen
authors.initials: M
authors.lastname: Shaikh
authors.forename: Joseph
authors.initials: J
authors.lastname: Beyene
mesh_terms: D000465:Algorithms; D004252:DNA Mutational Analysis; D066264:Datasets as Topic; D056726:Genetic Association Studies; D006801:Humans; D015233:Models, Statistical; D009154:Mutation; D063868:Patient Outcome Assessment; D014901:West Nile Fever / Q000175:diagnosis; D014902:West Nile virus / Q000235:genetics