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For every individual in a pedigree, the function identifies either the one female or male ancestor that is a founder (defined here as an individual identity in the pedigree for which both dam and sire information are missing).
founderLine(pedigree, sex)A vector of length equal to the number of rows in the pedigree
A pedigree where the columns are ordered ID, Dam, Sire, Sex
Character indicating the column name in pedigree identifying either the dam (for matriline) or sire (for patriline) identities
Missing parents (e.g., base population) should be denoted by either 'NA', '0', or '*'.
Individuals with a missing parent for the column identified by the 'sex' argument are assigned themselves as their founder line. Thus, the definition of the founder population from a given pedigree is simply all individuals with missing parents (and in this case just a single missing parent classifies an individual as a founder).
founderLine(FG90, sex = "dam") # matriline from this example pedigree
#Create random pedigree, tracking the matrilines
## Then compare with founderLine() output
K <- 8 # No. individuals per generation (KEEP and even number)
gen <- 10 # No. of generations
datArr <- array(NA, dim = c(K, 5, gen))
dimnames(datArr) <- list(NULL,
c("id", "dam", "sire", "sex", "matriline"), NULL)
# initialize the data array
datArr[, "id", ] <- seq(K*gen)
datArr[, "sex", ] <- c(1, 2)
femRow <- which(datArr[, "sex", 1] == 2) # assume this is same each generation
# (Why K should always be an even number)
datArr[femRow, "matriline", 1] <- femRow
# males have overlapping generations, BUT females DO NOT
for(g in 2:gen){
datArr[, "sire", g] <- sample(c(datArr[femRow-1, "id", 1:(g-1)]),
size = K, replace = TRUE)
gdams <- sample(femRow, size = K, replace = TRUE)
datArr[, c("dam", "matriline"), g] <- datArr[gdams, c("id", "matriline"), g-1]
}
ped <- data.frame(apply(datArr, MARGIN = 2, FUN = function(x){x}))
nrow(ped)
#Now run founderLine() and compare
ped$line <- founderLine(ped, sex = "dam")
stopifnot(identical(ped$matriline, ped$line),
sum(ped$matriline-ped$line, na.rm = TRUE) == 0,
range(ped$matriline-ped$line, na.rm = TRUE) == 0)
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