The effect of recent admixture on inference of ancient human population history.
Despite the widespread study of genetic variation in admixed human populations, such as African-Americans, there has not been an evaluation of the effects of recent admixture on patterns of polymorphism or inferences about population demography. These issues are particularly relevant because estimates of the timing and magnitude of population growth in Africa have differed among previous studies, some of which examined African-American individuals. Here we use simulations and single-nucleotide polymorphism (SNP) data collected through direct resequencing and genotyping to investigate these issues. We find that when estimating the current population size and magnitude of recent growth in an ancestral population using the site frequency spectrum (SFS), it is possible to obtain reasonably accurate estimates of the parameters when using samples drawn from the admixed population under certain conditions. We also show that methods for demographic inference that use haplotype patterns are more sensitive to recent admixture than are methods based on the SFS. The analysis of human genetic variation data from the Yoruba people of Ibadan, Nigeria and African-Americans supports the predictions from the simulations. Our results have important implications for the evaluation of previous population genetic studies that have considered African-American individuals as a proxy for individuals from West Africa as well as for future population genetic studies of additional admixed populations.
Lohmueller
Kirk E
KE
Department of Molecular Biology and Genetics, Cornell University, Ithaca, New York 14853, USA. k.lohmueller@berkeley.edu
Bustamante
Carlos D
CD
Clark
Andrew G
AG
D000349:Africa; D001741:Black or African American / Q000235:genetics*; D044383:Black People / Q000235:genetics*; D003710:Demography; D014644:Genetic Variation; D006239:Haplotypes; D006801:Humans; D009549:Nigeria; D011110:Polymorphism, Genetic; D020641:Polymorphism, Single Nucleotide; D044382:Population Groups / Q000235:genetics
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