Haplotype Pattern Mining (HPM) is the first data mining based approach to gene localization. It is particularly powerful in localization of susceptibility genes for human multifactorial diseases. It uses an efficient data mining algorithm to search for frequent patterns that are associated to the trait of interest (pseudocode representation). Unlike many other methods, HPM does not require the scientist to explicitly specify the disease model. Haplotype Pattern Mining has been extended to quantitative phenotypes, accommodating covariates, and using pure genotype data instead of haplotype data. Furthermore, the method is highly robust to missing and erroneous data.