4.8 Article

Inferring admixture proportions from molecular data: Extension to any number of parental populations

期刊

MOLECULAR BIOLOGY AND EVOLUTION
卷 18, 期 4, 页码 672-675

出版社

SOC MOLECULAR BIOLOGY EVOLUTION
DOI: 10.1093/oxfordjournals.molbev.a003847

关键词

admixture coefficients; least-squares method; coalescent; Monte Carlo simulations; human populations; mtDNA sequences

向作者/读者索取更多资源

The relative contribution of two parental populations to a hybrid group (the admixture proportions) can be estimated using not only the frequencies of different alleles, but also the degree of molecular divergence between them. In this paper, we extend this possibility to the case of any number of parental populations. The newly derived multiparental estimator is tested by Monte Carlo simulations and by generating artificial hybrid groups by pooling mtDNA samples from human populations. The general properties (including the variance) of the two-parental estimator seem to be retained by the multiparental estimator. When mixed human populations are considered and hypervariable single-locus data are analyzed (mtDNA control region), errors in the estimated contributions appear reasonably low only when highly differentiated parental populations are involved. Finally, the method applied to the hybrid Canary Island population points to a much lower female contribution from Spain than has previously been estimated.

作者

我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。

评论

主要评分

4.8
评分不足

次要评分

新颖性
-
重要性
-
科学严谨性
-
评价这篇论文

推荐

暂无数据
暂无数据