Balanovskaia E V, Nurbaev S D, Rychkov Iu G
Genetika. 1994 Nov;30(11):1538-55.
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).
考虑了使用基本数学统计程序对基因频率地理分布的计算机地图进行的变换。这些变换被指定为地图的统计变换。考虑了两个变换组:分别对一张地图和一组地图进行变换。这些变换的价值不仅仅在于它们作为更复杂制图分析中间阶段的用途:所得地图承载了关于基因地理或基因库的全新信息。本文考虑了三个使用统计变换算法获取新遗传图谱的例子。这些图谱分别是:(1)杂合性(欧亚大陆东北部HLA - A、B、C位点的);(2)疾病风险(东欧母婴Rh血型不合同时登记Rh和ABO血型);(3)遗传距离(相对于白俄罗斯自身平均种族值以及相对于东欧基因库的俄罗斯平均种族值)。