Part of the Genetic Value Analysis
calcFG(ped, alleles)
ped | the pedigree information in datatable format. Pedigree (req. fields: id, sire, dam, gen, population). It is assumed that the pedigree has no partial parentage |
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alleles | dataframe contains an |
The founder genome equivalents,
FG = 1 / sum( (p ^ 2) / r
where p
is average number of
descendants and r
is the mean number of founder alleles retained
in the gene dropping experiment.
# \donttest{ ## Example from Analysis of Founder Representation in Pedigrees: Founder ## Equivalents and Founder Genome Equivalents. ## Zoo Biology 8:111-123, (1989) by Robert C. Lacy library(nprcgenekeepr) ped <- data.frame( id = c("A", "B", "C", "D", "E", "F", "G"), sire = c(NA, NA, "A", "A", NA, "D", "D"), dam = c(NA, NA, "B", "B", NA, "E", "E"), stringsAsFactors = FALSE ) ped["gen"] <- findGeneration(ped$id, ped$sire, ped$dam) ped$population <- getGVPopulation(ped, NULL) pedFactors <- data.frame( id = c("A", "B", "C", "D", "E", "F", "G"), sire = c(NA, NA, "A", "A", NA, "D", "D"), dam = c(NA, NA, "B", "B", NA, "E", "E"), stringsAsFactors = TRUE ) pedFactors["gen"] <- findGeneration(pedFactors$id, pedFactors$sire, pedFactors$dam) pedFactors$population <- getGVPopulation(pedFactors, NULL) alleles <- geneDrop(ped$id, ped$sire, ped$dam, ped$gen, genotype = NULL, n = 5000, updateProgress = NULL) allelesFactors <- geneDrop(pedFactors$id, pedFactors$sire, pedFactors$dam, pedFactors$gen, genotype = NULL, n = 5000, updateProgress = NULL) fg <- calcFG(ped, alleles) fgFactors <- calcFG(pedFactors, allelesFactors) # }