Empirical Bayes Procedure for Estimating Genetic Distance Between Populations and Effective Population Size

摘要: We developed an empirical Bayes procedure to estimate genetic distances between populations using allele frequencies. This makes it possible describe the skewness of distance while taking full account uncertainty sample Dirichlet priors frequencies are specified, and posterior distributions various composite parameters obtained by Monte Carlo simulation. To avoid overdependence on subjective priors, we adopt a hierarchical model hyperparameters maximizing joint marginal-likelihood function. Taking advantage Bayesian procedure, extend method effective population size temporal changes in The is applied data sets red sea bream, herring, northern pike, ayu broodstock. It shown that overdispersion overestimates underestimates size, if not taken into during analysis. function also estimates rate gene flow island populations.