GMDR (Generalized Multifactor Dimensionality Reduction) is a nonparametric and genetic model-free alternative to linear or logistic regression for detecting and characterizing nonlinear interactions among discrete genetic and environmental attributes. Compared with the MDR method (Moore 2004; Ritchie et al. 2001), the GMDR method (Lou et al. 2007) permits adjustment for discrete and quantitative covariates and is applicable to both dichotomous and continuous phenotypes in different population-based study designs. GMDR will increase the precision accuracy and help users draw a more meaningful conclusion.
Xiang-Yang Lou, Ph.D. (XLou@ms.soph.uab.edu)
Guo-Bo Chen, Ph.D. (email@example.com)
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Chen GB, Xu Y, Xu HM, Li MD, Zhu J, and Lou XY (2011)
Practical and theoretical considerations in study design for detecting gene-gene interactions using MDR and GMDR approaches.
PLoS ONE 6:e16981.