1Department of Biostatistics, University at Buffalo, the State University of New York, Buffalo, NY, 14214, USA
2Dept. of Computer and Telecommunications Engineering, University of Western Macedonia, 50100, Kozani, Greece
*E-mail: yliang@buffalo.edu
Comprehensive evaluation of common genetic variations through association of SNP structure with common complex disease in the genome-wide scale is currently a hot area in human genome research. Computational intelligence, the area of computational science, has recently become the third method of scientific enquiry besides theory and experimentation. There have been fast growing interests in developing and applying computational intelligence in disease mapping using SNP and haplotype data. This review provide a coverage of recent development of theoretical and applications of computational intelligence approaches for complex diseases in genetic association study.
Computational intelligence, SNP, haplotype, complex common diseases, gene-gene interactions, gene-environment interactions
