Williams R C, Knowler W C, Pettitt D J, Long J C, Rokala D A, Polesky H F, Hackenberg R A, Steinberg A G, Bennett P H
Department of Anthropology, Arizona State University, Tempe 85287-2402.
Am J Hum Genet. 1992 Jul;51(1):101-10.
Complementary genetic and demographic analyses estimate the total proportion of European-American admixture in the Gila River Indian Community and trace its mode of entry. Among the 9,616 residents in the sample, 2,015 persons claim only partial Native American heritage. A procedure employing 23 alleles or haplotypes at eight loci was used to estimate the proportion of European-American admixture, m(a), for the entire sample and within six categories of Caucasian admixture calculated from demographic data, md. The genetic analysis gave an estimate of total European-American admixture in the community of 0.054 (95% confidence interval [CI] .044-.063), while an estimate from demographic records was similar, .059. Regression of m(a) on md yielded a fitted line m(a) = .922md, r = .959 (P = .0001). When total European-American admixture is partitioned between the contributing populations, Mexican-Americans have provided .671, European-Americans .305, and African-Americans .023. These results are discussed within the context of the ethnic composition of the Gila River Indian Community, the assumptions underlying the methods, and the potential that demographic data have for enriching genetic measurements of human admixture. It is concluded that, despite the severe assumptions of the mathematical methods, accurate, reliable estimates of genetic admixture are possible from allele and haplotype frequencies, even when there is little demographic information for the population.
互补的基因和人口统计学分析估计了吉拉河印第安社区中欧美血统混合的总比例,并追溯了其进入方式。在样本中的9616名居民中,有2015人仅声称有部分美国原住民血统。采用一种在8个基因座上使用23个等位基因或单倍型的程序,来估计整个样本以及根据人口统计学数据计算出的6种白种人混合类别中的欧美血统混合比例m(a)。基因分析得出该社区欧美血统混合的总估计值为0.054(95%置信区间[CI].044-.063),而人口统计学记录的估计值与之相似,为.059。m(a)对md的回归得出拟合线m(a)=.922md,r=.959(P=.0001)。当将总的欧美血统混合在各贡献人群之间进行划分时,墨西哥裔美国人占.671,欧美裔美国人占.305,非裔美国人占.023。这些结果将在吉拉河印第安社区的种族构成、方法所依据的假设以及人口统计学数据对丰富人类混合基因测量的潜力的背景下进行讨论。得出的结论是,尽管数学方法有严格的假设,但即使在该人群几乎没有人口统计学信息的情况下,从等位基因和单倍型频率也有可能获得准确、可靠的基因混合估计值。