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    • Keywords


      linkage heterogeneity; likelihood ratio; power; recombination fraction; test.

    • Abstract


      Testing linkage heterogeneity between two loci is an important issue in genetics. Currently, there are four methods (K-test, A-test, B-test and D-test) for testing linkage heterogeneity in linkage analysis, which are based on the likelihood-ratio test. Among them, the commonly used methods are the K-test and A-test. In this paper, we present a novel test method which is different from the above four tests, called G-test. The new test statistic is based on estimating function, possessing a theoretic asymptotic distribution, and therefore demonstrates its own advantages. The proposed test is applied to analyse a real pedigree dataset. Our simulation results also indicate that the G-test performs well in terms of power of testing linkage heterogeneity and outperforms the current methods to some degree.

    • Author Affiliations


      He Gao1 2 Ying Zhou1 Weijun Ma1 Haidong Liu1 Linan Zhao1

      1. Department of Statistics, School of Mathematical Sciences, Heilongjiang University, Harbin 150080, People’s Republic of China
      2. School of Mathematical Sciences, Harbin Normal University, Harbin 150025, People’s Republic of China
    • Dates

  • Journal of Genetics | News

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      Posted on July 25, 2019

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