Assessing Population Differentiation and Isolation from Single-Nucleotide Polymorphism Data
利用单核苷酸多态性数据评估群体分化与隔离
Summary We introduce a new, hierarchical, model for single-nucleotide polymorphism allele frequencies in a structured population, which is naturally fitted via Markov chain Monte Carlo methods. There is one parameter for each population, closely analogous to a population-specific version of Wright's FST, which can be interpreted as measuring how isolated the relevant population has been. Our model includes the effects of single-nucleotide polymorphism ascertainment and is…