Abstract
The rhesus macaque displays an extensive polymorphism at the transferrin locus. A principal components analysis describes the variance and covariance of alleles at the transferrin locus in eight widely dispersed sample populations. Using an eigenvectorial representation of the covariance matrix and systematically approximated geographical locations the distribution of populations and transferrin alleles is compared. Alleles with high variance prove to be the determining factor in the placement of populations in a “genetic map” and provide a means for interpreting the low congruence of genetics and geography found.