The Zuni Indians of west‐central New Mexico have been relatively isolated since their foundation by an amalgamation of individuals from different southwestern cultural areas during the Regressive Pueblo period (c.1200–1350 A.D.). Genetic analysis revealed a high frequency of blood type B in both young (0.06) and old (0.05) Zuni, but at 14 other blood group and serum protein loci, allelic frequencies including A (0.011) and Rh negative (0.001) were generally similar to those of other relatively unmixed southwestern Indian tribes. Consideration of Zuni history and demography since Spanish contact in 1540, together with genetic analyses, suggest that the high B frequency probably derives from intermixture with a small number of B, Rh positive non‐Indians in the early post contact period. Genetic differentiation among four southwestern tribes, Zuni, Pima, Papago and Maricopa, was summarized by kinship analysis. Approximately 70% of the inter‐tribal genetic variation could be explained by the geographic distances among these groups showing that isolation by distance has been the most important factor in determining the pattern of regional genetic differentiation.
The Finnish gene pool derives primarily from a relatively homogeneous Finno-Ugric population established during the Iron Age (100 B.C.-800 A.D.) in the southwest and southeast of Finland. Gene flow from Sweden to the southwest coastal areas, dating from prehistoric times, as well as the patterns of settlement and migration throughout Finland during the past 1000 years, appear to have been the major biosocial factors underlying the genetic structure of the contemporary population. Analysis of genetic variation and covariation at nine polymorphic loci in a large random sample of rural Finns, partitioned into either 8 countries or 27 geographic districts, showed that all of the essential features of the genetic structure suggested by the archaeological and historical data could be distinguished. Procedures for obtaining inference on the genetic structure of such a population are reviewed, including coefficients of similarity and (genetic) distance among subpopulations, the relation between linear or planar geographic structure and genetic covariation, and the methods for describing allelic differentiation. Bias resulting from the inappropriate assumption of a simple phylogenetic model can be substantial, expecially for the analysis of isolation by distance; procedures for avoiding misleading inference on the genetic structure are demonstrated.
The value of phylogenetic comparisons between populations based on tooth morphology depends on a knowledge of the extent to which the observed morphological variation is genetic in origin. This knowledge can be derived unequivocally only from the analysis of family data. However, in the absence of such knowledge the ability of tooth morphology to distinguish biological differences can be evaluated directly by testing its discriminating power in practice on populations between which the degrees of genetic difference are already known. The results of such a n evaluation show that different degrees of subjectivity of scoring are associated with different characters, but that moderately good correspondence between known genetic differences and differences based on tooth morphology can be achieved when characters showing the least subjectivity of scoring are used.
The present study reports an analysis of genetic differentiation among 14 Sardinian villages located mainly in the center of the island. Chi-square tests show significant genetic heterogeneity among villages, and analyses by F- and R- statistics indicate an essentially random pattern of differentiation for all alleles. Using the kinship methods of Morton, a matrix, R, with elements rij describing the correlations between the gene frequencies of villages i and j is obtained. Use of Malécot's formula relating the rij to the geographic distances between villages shows a rapid decline of kinship with increasing distance but reveals essentially no relationship for distances over 40 km. Rotation of a two-dimensional reduction of the kinship matrix to maximum congruence with the geographic distances indicates that about 25% of the genetic distances can be accounted for by the geographic location of the villages. Isolation due in part to cultural factors, genetic drift, and special local or regional patterns of villages associations appear to be involved in the pattern of genetic variation.
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