We consider an advanced framework for
genome wide association study (GWAS) based on the signal
localization. Instead of looking for single genetic markers
associated with the phenotype we attempt to discover regions
of genetic markers, which are associated with phenotype. We
focus on the localization by moving sums of negative
logarithms of p-values, which is efficient for discovery of wide
regions of genetic markers associated with phenotype.
Particularly, we expect the method should be efficient for
searching genes containing a number of genetic markers, if any
reconstruction in a gene related to a phenotype. The method is
implemented in GWATCH software for visualization and
interpretation results of multiple statistical tests for genome
associations. We discuss some features of the GWATCH
software and apply them for HIV/AIDS cohort study from
Botswana.