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      Exploring the performance of Multifactor Dimensionality Reduction in large scale SNP studies and in the presence of genetic heterogeneity among epistatic disease models.

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          Abstract

          In genetic studies of complex disease a consideration for the investigator is detection of joint effects. The Multifactor Dimensionality Reduction (MDR) algorithm searches for these effects with an exhaustive approach. Previously unknown aspects of MDR performance were the power to detect interactive effects given large numbers of non-model loci or varying degrees of heterogeneity among multiple epistatic disease models.

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          Author and article information

          Journal
          Hum. Hered.
          Human heredity
          S. Karger AG
          1423-0062
          0001-5652
          2009
          : 67
          : 3
          Affiliations
          [1 ] Center for Human Genetics Research, Vanderbilt University Medical Center, Nashville, Tenn., USA.
          Article
          000181157
          10.1159/000181157
          3078287
          19077437
          5f25a446-eec7-4eca-b324-330ab26febe2
          History

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