Power of multifactor dimensionality reduction for detecting gene-gene interactions in the presence of genotyping error, missing data, phenocopy, and genetic heterogeneity.

@article{Ritchie2003PowerOM,
  title={Power of multifactor dimensionality reduction for detecting gene-gene interactions in the presence of genotyping error, missing data, phenocopy, and genetic heterogeneity.},
  author={Marylyn DeRiggi Ritchie and Lance W. Hahn and Jason H. Moore},
  journal={Genetic epidemiology},
  year={2003},
  volume={24 2},
  pages={150-7}
}
The identification and characterization of genes that influence the risk of common, complex multifactorial diseases, primarily through interactions with other genes and other environmental factors, remains a statistical and computational challenge in genetic epidemiology. This challenge is partly due to the limitations of parametric statistical methods for detecting genetic effects that are dependent solely or partially on interactions with other genes and environmental exposures. We previously… CONTINUE READING
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