An "almost exhaustive" search-based sequential permutation method for detecting epistasis in disease association studies.

@article{Ma2010AnE,
  title={An "almost exhaustive" search-based sequential permutation method for detecting epistasis in disease association studies.},
  author={Li An Ma and Themistocles L. Assimes and Narges Bani Asadi and Carlos Iribarren and Thomas Quertermous and Wing H. Wong},
  journal={Genetic epidemiology},
  year={2010},
  volume={34 5},
  pages={
          434-43
        }
}
Due to the complex nature of common diseases, their etiology is likely to involve "uncommon but strong" (UBS) interactive effects--i.e. allelic combinations that are each present in only a small fraction of the patients but associated with high disease risk. However, the identification of such effects using standard methods for testing association can be difficult. In this work, we introduce a method for testing interactions that is particularly powerful in detecting UBS effects. The method… CONTINUE READING

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