Epistasis analysis using information theory.
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.
Department of Community and Family Medicine, Geisel School of Medicine, DHMC, One Medical Center Drive, HB 7937, Lebanon, NH, 03756, USA, Jason.H.Moore@Dartmouth.edu.
Jason H
JH
Moore
Ting
T
Hu
D004843:Epistasis, Genetic; D005821:Genetic Techniques; D006801:Humans; D007257:Information Theory; D012984:Software; D013223:Statistics as Topic; D001749:Urinary Bladder Neoplasms / Q000235:genetics