Score tests for epistasis models on quantitative traits using general pedigree data

Authors

  • Kai Wang

    Corresponding author
    1. Division of Statistical Genetics, Departments of Biostatistics, University of Iowa, Iowa City, Iowa
    • Division of Statistical Genetics, 2188 WL, Department of Biostatistics, College of Public Health, University of Iowa, Iowa City, IA 52242
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Abstract

Efficient score tests for a two-locus model for quantitative traits are proposed for general pedigrees. Two search strategies, simultaneous search and conditional search, are considered. These tests are attractive alternatives to the likelihood ratio test for their asymptotic equivalency to their respective likelihood ratio tests and efficiency in computation. The finite-sample properties of these tests are investigated through simulations. Extensions to more complicated models and to other search strategies are discussed. Genet Epidemiol 25:314–326, 2003. © 2003 Wiley-Liss, Inc.

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