PubMed · 5692533
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N Yasuda. 1968. [Gene frequency estimation by a counting method].. https://pubmed.ncbi.nlm.nih.gov/5692533/
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Six blood group antigens (ABO, RH, MNS, KK, KP, FY) and five plasma proteins (HP, GC, APOA4, FXIIIB, C1R) were typed in 790 individuals, and 12 mtDNA RFLP and deletion polymorphisms were typed in 657 individuals from the San Luis Valley, Colorado. The 790 nuclear typings were conducted on 399 Anglos and 391 Hispanics, while the 657 mitochondrial haplotypes were generated from 207 Anglos and 450 Hispanics. Chakraborty's ADMIX2 FORTRAN program was used to estimate the average Amerindian admixture using all nuclear loci simultaneously. Since there is no recombination in mtDNA, the sum of the frequencies of the Amerindian/Asian-specific mitochondrial haplotypes represents the level of Amerindian admixture. The nuclear estimates of Amerindian admixture were 33.15 +/- 2.41% for the Hispanics and 9.72 +/- 1.90% for the Anglos, while the strictly maternally inherited mtDNA estimates of Amerindian admixture were 85.11% for the Hispanics and 0.97% for the Anglos. This dramatic difference in estimated levels of admixture between the biparentally derived nuclear estimates and the uniparentally derived mtDNA estimates is indicative of past directional matings between Hispanic males and Amerindian females.
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The genetic structure and interrelationships of six populations of the Garfagnana valley (Tuscany, Italy) were examined using chromosomal heteromorphisms concurrently with blood group system, red cell isozyme, and serum protein polymorphisms, secretor status, and surname frequency data. We aimed to evaluate the relationship of cytogenetic polymorphisms to more classical sources of gene frequency data in a population with a well-known demographic scenario. The R matrix technique (Harpending and Jenkins 1973) was used to estimate kinship coefficients, and the Harpending-Ward model (1982) and its extensions for quantitative traits (Relethford and Blangero 1990) were used to detect differential systematic pressure among population subdivisions. Mantel statistics were used to assess the significance of the correlations between cytogenetic, genetic, isonymy, geographic, and migration matrices. The analyses consistently gave similar results for the DA/DAPI cytogenetic heteromorphism and most gene frequency data. Both sets of results depend on migration patterns and on geographic distance among population subdivisions. However, C cytogenetic heteromorphism and some separately analyzed genetic markers did not fit the demogeographic pattern. Overall, it appears that data from different levels of the genetic hierarchy (namely, DNA regions encoding for classical biochemical markers and the noncoding highly variable cytogenetic bands of heterochromatin) can be treated and compared using the same analytical tools.