UBC Research Data

Data from: QST FST comparisons with unbalanced half-sib designs Gilbert, Kimberly J.; Whitlock, Michael C.

Description

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 to (1) 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 (2) by explicitly allowing for unbalanced data sets. The resulting approach is made available through the R package QstFstComp.; Usage notes
SourceCode_DamModelSource code used when doing type I error testing of balanced or unbalanced half-sib dam modelDamModel_WorkingCopy.R
SireModel_WorkingCopySource code used when doing type I error testing of unbalanced half-sib sire modelTypeI_ErrorTest_DamBalancedR code to run the error testing of the balanced half-sib dam model over 1000 replicate datasets.TypeI_ErrorTest_DamUnbalancedR code to run the error testing of the unbalanced half-sib dam model over 1000 replicate datasets.TypeI_ErrorTest_SireUnbalancedR code to run the error testing of the unbalanced half-sib sire model over 1000 replicate datasets.NemoReplicatesZipped file containing the 1000 simulated replicate datasets from Nemo used for type I error testing.

Item Media

Item Citations and Data

Licence

CC0 Waiver

Usage Statistics