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Exploring Population Admixture Dynamics via Empirical and Simulated Genome-wide Distribution of Ancestral Chromosomal Segments

机译:通过经验的和模拟的全基因组的祖先染色体节段探索种群混合动力。

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摘要

The processes of genetic admixture determine the haplotype structure and linkage disequilibrium patterns of the admixed population, which is important for medical and evolutionary studies. However, most previous studies do not consider the inherent complexity of admixture processes. Here we proposed two approaches to explore population admixture dynamics, and we demonstrated, by analyzing genome-wide empirical and simulated data, that the approach based on the distribution of chromosomal segments of distinct ancestry (CSDAs) was more powerful than that based on the distribution of individual ancestry proportions. Analysis of 1,890 African Americans showed that a continuous gene flow model, in which the African American population continuously received gene flow from European populations over about 14 generations, best explained the admixture dynamics of African Americans among several putative models. Interestingly, we observed that some African Americans had much more European ancestry than the simulated samples, indicating substructures of local ancestries in African Americans that could have been caused by individuals from some particular lineages having repeatedly admixed with people of European ancestry. In contrast, the admixture dynamics of Mexicans could be explained by a gradual admixture model in which the Mexican population continuously received gene flow from both European and Amerindian populations over about 24 generations. Our results also indicated that recent gene flows from Sub-Saharan Africans have contributed to the gene pool of Middle Eastern populations such as Mozabite, Bedouin, and Palestinian. In summary, this study not only provides approaches to explore population admixture dynamics, but also advances our understanding on population history of African Americans, Mexicans, and Middle Eastern populations.
机译:遗传混合的过程决定了混合种群的单倍型结构和连锁不平衡模式,这对于医学和进化研究很重要。但是,以前的大多数研究都没有考虑混合工艺固有的复杂性。在这里,我们提出了两种探索种群混合动力学的方法,并且通过分析全基因组的经验数据和模拟数据,我们证明了基于不同祖先染色体片段(CSDAs)分布的方法比基于分布的染色体更有效。个人血统比例。对1,890名非裔美国人的分析显示,一个连续的基因流模型(在其中,非裔美国人的种群不断从约14代以上的欧洲种群中接收基因流),可以最好地解释非裔美国人在几种推定模型中的混合动力。有趣的是,我们观察到某些非裔美国人的欧洲血统比模拟样本要多得多,这表明非裔美国人的局部血统的亚结构可能是由某些特定血统的人反复与欧洲血统的人混杂造成的。相比之下,墨西哥人的混合动力可以通过逐步混合模型来解释,在该模型中,墨西哥人口连续约24代从欧洲和美洲印第安人人口中连续接收基因流。我们的结果还表明,最近来自撒哈拉以南非洲人的基因流对诸如莫扎比,贝都因和巴勒斯坦等中东人口的基因库做出了贡献。总之,这项研究不仅提供了探索人口混合动力的方法,而且还增进了我们对非裔美国人,墨西哥人和中东人口历史的理解。

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