The accessibility of high-throughput biology data brought a great deal of
attention to disease association studies. High density maps of single
nucleotide polymorphism (SNPs) as well as massive genotype data with
large number of individuals and number of SNPs become publicly
available. By now most analysis of the new data is undertaken by the
statistics community. This study pursues a different line of attack on
genetic susceptibility to complex disease that adheres to the computer
science community. The main goal of disease association analysis is to
identify gene variations contributing to...