Detecting gene-gene interactions for complex quantitative traits using generalized fuzzy classification.

Journal: BMC bioinformatics
PMID:

Abstract

BACKGROUND: Quantitative traits or continuous outcomes related to complex diseases can provide more information and therefore more accurate analysis for identifying gene-gene and gene- environment interactions associated with complex diseases. Multifactor Dimensionality Reduction (MDR) is originally proposed to identify gene-gene and gene- environment interactions associated with binary status of complex diseases. Some efforts have been made to extend it to quantitative traits (QTs) and ordinal traits. However these and other methods are still not computationally efficient or effective.

Authors

  • Xiangdong Zhou
    Department of Respiratory Diseases, The First Affiliated Hospital of Hainan Medical University, Hainan Province Clinical Medical Center of Respiratory Diseases, Haikou, China.
  • Keith C C Chan
    Department of Computing, Hong Kong Polytechnic University, Hong Kong.