title: Modeling Continuous Admixture Using Admixture-Induced Linkage Disequilibrium.
abstract: Recent migrations and inter-ethnic mating of long isolated populations have resulted in genetically admixed populations. To understand the complex population admixture process, which is critical to both evolutionary and medical studies, here we used admixture induced linkage disequilibrium (LD) to infer continuous admixture events, which is common for most existing admixed populations. Unlike previous studies, we expanded the typical continuous admixture model to a more general scenario with isolation after a certain duration of continuous gene flow. Based on the new models, we developed a method, CAMer, to infer the admixture history considering continuous and complex demographic process of gene flow between populations. We evaluated the performance of CAMer by computer simulation and further applied our method to real data analysis of a few well-known admixed populations.
authors.affiliation: Chinese Academy of Sciences (CAS) Key Laboratory of Computational Biology, Max Planck Independent Research Group on Population Genomics, CAS-MPG Partner Institute for Computational Biology, Shanghai Institutes for Biological Sciences, Chinese Academy of Sciences, Shanghai, 200031, China.|University of Chinese Academy of Sciences, Beijing 100049, China.
authors.forename: Ying
authors.initials: Y
authors.lastname: Zhou
authors.affiliation: Chinese Academy of Sciences (CAS) Key Laboratory of Computational Biology, Max Planck Independent Research Group on Population Genomics, CAS-MPG Partner Institute for Computational Biology, Shanghai Institutes for Biological Sciences, Chinese Academy of Sciences, Shanghai, 200031, China.|Department of Mathematics, The Chinese University of Hong Kong, Shatin, Hong Kong, China.
authors.forename: Hongxiang
authors.initials: H
authors.lastname: Qiu
authors.affiliation: Chinese Academy of Sciences (CAS) Key Laboratory of Computational Biology, Max Planck Independent Research Group on Population Genomics, CAS-MPG Partner Institute for Computational Biology, Shanghai Institutes for Biological Sciences, Chinese Academy of Sciences, Shanghai, 200031, China.|University of Chinese Academy of Sciences, Beijing 100049, China.|School of Life Science and Technology, ShanghaiTech University, Shanghai 201210, China.|Collaborative Innovation Center of Genetics and Development, Shanghai 200438, China.
authors.forename: Shuhua
authors.initials: S
authors.lastname: Xu
mesh_terms: D003198:Computer Simulation; D005006:Ethnicity; D051456:Gene Flow; D005828:Genetics, Population; D006801:Humans; D015810:Linkage Disequilibrium; D008957:Models, Genetic