title: Exploring population admixture dynamics via empirical and simulated genome-wide distribution of ancestral chromosomal segments.
abstract: 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.
authors.affiliation: Max Planck Independent Research Group on Population Genomics, Chinese Academy of Sciences and Max Planck Society (CAS-MPG) Partner Institute for Computational Biology, Shanghai Institutes for Biological Sciences, Chinese Academy of Sciences, Shanghai, China.
authors.forename: Wenfei
authors.initials: W
authors.lastname: Jin
authors.forename: Sijia
authors.initials: S
authors.lastname: Wang
authors.forename: Haifeng
authors.initials: H
authors.lastname: Wang
authors.forename: Li
authors.initials: L
authors.lastname: Jin
authors.forename: Shuhua
authors.initials: S
authors.lastname: Xu
mesh_terms: D001741:Black or African American / Q000235:genetics; D002877:Chromosomes, Human; D003198:Computer Simulation; D005828:Genetics, Population; D006239:Haplotypes; D006801:Humans; D015810:Linkage Disequilibrium; D017058:Mexican Americans / Q000235:genetics; D008957:Models, Genetic; D011157:Population Dynamics