Volume 1253 of the series Methods in Molecular Biology pp 257-268


Epistasis Analysis Using Information Theory

  • Jason H. MooreAffiliated withDepartment of Community and Family Medicine, Geisel School of Medicine, DHMCDepartment of Genetics, Institute for Quantitative Biomedical Sciences, Geisel School of Medicine Email author 
  • , Ting HuAffiliated withDepartment of Genetics, Geisel School of Medicine, DHMC

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Here we introduce entropy-based measures derived from information theory for detecting and characterizing epistasis in genetic association studies. We provide a general overview of the methods and highlight some of the modifications that have greatly improved its power for genetic analysis. We end with a few published studies of complex human diseases that have used these measures.

Key words

Epistasis Information theory Entropy Association studies Genetic analysis Gene–gene interaction