Here we illustrate the use of the function getASelfing
in the computation of the A matrix from an example pedigree which contains information on number of selfing cycles (nCycles
), and illustrate the differences in the A matrix before and after taking selfing into account.
data.frame
pedigrees with and without selfing cyclesBelow we create an example pedigree ( identical to the one in Example 1 ) before taking selfing into account.
pedNoCycles <-data.frame(sire=as.character(c(NA,NA,NA,NA,NA,1,3,5,6,4,8,1,10,8)),
dam= as.character(c(NA,NA,NA,NA,NA,2,2,NA,7,7,NA,9,9,13)),
label=as.character(1:14))
| Subject | Sire | Dam | |----------:|-------------:|------:| | 1 | NA| NA | 2 | NA| NA | 3 | NA| NA | 4 | NA| NA | 5 | NA| NA | 6 | 1| 2 | 7 | 3 | 2 | 8 | 5 | NA | 9 | 6| 7 | 10 | 4| 7 | 11 | 8 | NA | 12 | 1 | 9 | 13 | 10| 9 | 14 | 8| 13
Here we create an example pedigree similar to the one used previously with an additional column called nCycles
that takes selfing into account.
Note that this pedigree must be complete and sorted ( see Example 1 )before using it with the functions in Section B.
pedCycles <-data.frame(sire=as.character(c(NA,NA,NA,NA,NA,1,3,5,6,4,8,1,10,8)),
dam= as.character(c(NA,NA,NA,NA,NA,2,2,NA,7,7,NA,9,9,13)),
label=as.character(1:14),nCycles=c(0,0,0,0,0,0,0,5,0,0,0,0,3,0))
| Subject | Sire (Parent 1) | Dam (Parent 2) | nCycles | |----------:|-------------:|------:|-------:| | 1 | NA| NA | 0| | 2 | NA| NA | 0| | 3 | NA| NA | 0| | 4 | NA| NA | 0| | 5 | NA| NA | 0| | 6 | 1| 2 | 0| | 7 | 3 | 2 | 0| | 8 | 5 | NA | 5| | 9 | 6| 7 | 0| | 10 | 4| 7 | 0| | 11 | 8 | NA | 0| | 12 | 1 | 9 | 0| | 13 | 10| 9 | 3| | 14 | 8| 13 | 0|
getASelfing
Here we create the matrix Aself from pedCycles
using getAselfing which computes the additive relationship matrix from the pedigree given the information contained in nCycles
.
library(pedigreeTools)
Aself <- getASelfing(ID=pedCycles$label,Par1=pedCycles$sire,Par2=pedCycles$dam,nCycles=pedCycles$nCycles,nCyclesDefault=0)
We also create the matrix A from the pedigree before selfing following the method outlined in example 1:
A <- getA(pedNoCycles)
Visualizing the difference matrix of Aself
and A
shows us that only the members 8,11,13 and 14 are different, as is expected.
diff <- Aself - A
image(diff)
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