title: QST-FST comparisons with unbalanced half-sib designs.
abstract: QST , a measure of quantitative genetic differentiation among populations, is an index that can suggest local adaptation if QST for a trait is sufficiently larger than the mean FST of neutral genetic markers. A previous method by Whitlock and Guillaume derived a simulation resampling approach to statistically test for a difference between QST and FST , but that method is limited to balanced data sets with offspring related as half-sibs through shared fathers. We extend this approach (i) to allow for a model more suitable for some plant populations or breeding designs in which offspring are related through mothers (assuming independent fathers for each offspring; half-sibs by dam); and (ii) by explicitly allowing for unbalanced data sets. The resulting approach is made available through the R package QstFstComp.
authors.affiliation: Department of Zoology, University of British Columbia, 6270 University Blvd., Vancouver, BC, V6T 1Z4, Canada.
authors.forename: Kimberly J
authors.initials: KJ
authors.lastname: Gilbert
authors.forename: Michael C
authors.initials: MC
authors.lastname: Whitlock
mesh_terms: D014644:Genetic Variation; D060005:Genotyping Techniques / Q000379:methods*; D019655:Quantitative Trait, Heritable; D013223:Statistics as Topic
keywords: F
  ST; Q
  ST; half-sib; local adaptation; outliers; unbalanced design