Power of multifactor dimensionality reduction and penalized logistic regression for detecting gene-gene interaction in a case-control study.

ABSTRACT:

Background

There is a growing awareness that interaction between multiple genes play an important role in the risk of common, complex multi-factorial diseases. Many common diseases are affected by certain genotype combinations (associated with some genes and their interactions). The identification and characterization of these susceptibility genes and gene-gene interaction have been limited by small sample size and large number of potential interactions between genes. Several methods have been proposed to detect gene-gene interaction in a case control study. The penalized logistic regression (PLR), a variant of logistic regression with L2 regularization, is a parametric approach to detect gene-gene interaction. On the other hand, the Multifactor Dimensionality Reduction (MDR) is a

SUBMITTER: He H 

PROVIDER: S-EPMC2800840 | biostudies-literature | 2009 Dec

REPOSITORIES: biostudies-literature