Components of racial variation in finger ridge-counts

摘要: Principal components analysis was used to evaluate finger ridge–count variability as an indicator of genetic relationships between populations. The carried out on American White, Black and African samples, each including both sexes. Each individual is represented a vector 20 counts, radial ulnar count for digit. No assumptions were made prior concerning the number meaningful components, all examined sequentially. first five eigenvectors extracted from within-group correlation matrix have loadings very similar those previously described by Roberts Coope ('75). However, it component scores derived sixth eigenvector which show most marked variation, accounting 45% or more D2in Black-White comparisons. A other also significant intergroup heterogeneity, but they often do not accord with what known Apparently large amount ridge-count variation genetically meaningful, at least far these populations are concerned.