title: Bias and precision in QST estimates: problems and some solutions.
abstract: Comparison of population differentiation in neutral marker genes and in genes coding quantitative traits by means of F(ST) and Q(ST) indexes has become commonplace practice. While the properties and estimation of F(ST) have been the subject of much interest, little is known about the precision and possible bias in Q(ST) estimates. Using both simulated and real data, we investigated the precision and bias in Q(ST) estimates and various methods of estimating the precision. We found that precision of Q(ST) estimates for typical data sets (i.e., with <20 populations) was poor. Of the methods for estimating the precision, a simulation method, a parametric bootstrap, and the Bayesian approach returned the most precise estimates of the confidence intervals.
authors.affiliation: Department of Mathematics and Statistics, University of Helsinki, FIN-00014 Helsinki, Finland. bob.ohara@helsinki.fi
authors.forename: R B
authors.initials: RB
authors.lastname: O'Hara
authors.forename: J
authors.initials: J
authors.lastname: Merilä
mesh_terms: D000818:Animals; D003198:Computer Simulation; D003627:Data Interpretation, Statistical; D005260:Female; D005828:Genetics, Population / Q000706:statistics & numerical data*; D008297:Male; D008957:Models, Genetic; D015983:Selection Bias