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• W2786241320 endingPage "e1007191" @default.
• W2786241320 startingPage "e1007191" @default.
• W2786241320 abstract "The relative female and male contributions to demography are of great importance to better understand the history and dynamics of populations. While earlier studies relied on uniparental markers to investigate sex-specific questions, the increasing amount of sequence data now enables us to take advantage of tens to hundreds of thousands of independent loci from autosomes and the X chromosome. Here, we develop a novel method to estimate effective sex ratios or ESR (defined as the female proportion of the effective population) from allele count data for each branch of a rooted tree topology that summarizes the history of the populations of interest. Our method relies on Kimura's time-dependent diffusion approximation for genetic drift, and is based on a hierarchical Bayesian model to integrate over the allele frequencies along the branches. We show via simulations that parameters are inferred robustly, even under scenarios that violate some of the model assumptions. Analyzing bovine SNP data, we infer a strongly female-biased ESR in both dairy and beef cattle, as expected from the underlying breeding scheme. Conversely, we observe a strongly male-biased ESR in early domestication times, consistent with an easier taming and management of cows, and/or introgression from wild auroch males, that would both cause a relative increase in male effective population size. In humans, analyzing a subsample of non-African populations, we find a male-biased ESR in Oceanians that may reflect complex marriage patterns in Aboriginal Australians. Because our approach relies on allele count data, it may be applied on a wide range of species." @default.
• W2786241320 created "2018-02-23" @default.
• W2786241320 creator A5023266894 @default.
• W2786241320 creator A5072274216 @default.
• W2786241320 creator A5076682143 @default.
• W2786241320 date "2018-01-31" @default.
• W2786241320 modified "2023-10-09" @default.
• W2786241320 title "Inferring sex-specific demographic history from SNP data" @default.
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• W2786241320 doi "https://doi.org/10.1371/journal.pgen.1007191" @default.
• W2786241320 hasPubMedCentralId "https://www.ncbi.nlm.nih.gov/pmc/articles/5809101" @default.
• W2786241320 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/29385127" @default.
• W2786241320 hasPublicationYear "2018" @default.
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• W2786241320 hasAuthorship W2786241320A5023266894 @default.
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