Transformations of computer maps of geographical distribution of gene frequencies using basic mathematical statistical procedures are considered. These transformations are designated as statistical transformation of maps. Two transformation groups are considered: of one map separately and of a group of maps. Transformations possess a value beyond their use as intermediate stages of more complicated cartographical analysis: the resulting maps carry entirely new information on the geography of genes or a gene pool. This article considers three examples of obtaining new genetic profiles using statistical transformation algorithms. These profiles are of: heterozygosity (of HLA-A, B, C loci in northeastern Eurasia); (2) disease risk (Rh-incompatibility of mother and child with simultaneous registration of Rh and ABO blood groups in Eastern Europe); (3) genetic distances (from own mean ethnic values for Belarus' and from mean Russian values for the gene pool of Eastern Europe).