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Testing genotypes-phenotype relationships using permutation tests on association rules

Author

Listed:
  • Shaikh Mateen
  • Beyene Joseph

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

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.

Suggested Citation

  • Shaikh Mateen & Beyene Joseph, 2015. "Testing genotypes-phenotype relationships using permutation tests on association rules," Statistical Applications in Genetics and Molecular Biology, De Gruyter, vol. 14(1), pages 83-92, February.
    • Handle: RePEc:bpj:sagmbi:v:14:y:2015:i:1:p:83-92:n:7
    DOI: 10.1515/sagmb-2014-0033
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