Data from: QST FST comparisons with unbalanced half-sib designs
Data files
Jul 15, 2014 version files 339.29 MB
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DamModel_WorkingCopy.R
24.32 KB
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NemoReplicates.zip
339.10 MB
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SireModel_WorkingCopy.R
36.72 KB
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TypeI_ErrorTest_DamBalanced.R
42.82 KB
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TypeI_ErrorTest_DamUnbalanced.R
43.30 KB
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TypeI_ErrorTest_SireUnbalanced.R
44.29 KB
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.