kappaIBD | R Documentation |
Computes the three IBD coefficients summarising the relationship between two
non-inbred individuals. Both autosomal and X chromosomal versions are
implemented. The pedigree founders (other than the individuals in question)
are allowed to be inbred; see pedtools::founderInbreeding()
for how to set
this up, and see Examples below.
kappaIBD(x, ids = labels(x), inbredAction = 1, simplify = TRUE, Xchrom = FALSE)
x |
A pedigree in the form of a |
ids |
A character (or coercible to character) containing ID labels of two or more pedigree members. |
inbredAction |
An integer telling the program what to do if either of
the |
simplify |
Simplify the output (to a numeric of length 3) if |
Xchrom |
A logical, indicating if the autosomal (default) or X-chromosomal kappa coefficients should be computed. |
For non-inbred individuals a and b, their autosomal IBD coefficients
(\kappa_0, \kappa_1, \kappa_2)
are defined as follows:
\kappa_i =
P(\text{a and b share exactly i alleles IBD at a random autosomal locus})
The autosomal kappa coefficients are computed from the kinship coefficients. When a and b are both nonfounders, the following formulas hold:
\kappa_2 = \varphi_{MM} \cdot \varphi_{FF} + \varphi_{MF} \cdot\varphi_{FM}
\kappa_1 = 4 \varphi_{ab} - 2 \kappa_2
\kappa_0 = 1 - \kappa_1 - \kappa_2
Here \varphi_{MF}
denotes the kinship coefficient between the
mother of a and the father of b, etc. If either a or b is a founder,
then \kappa_2 = 0
, while the other two formulas remain as before.
The X-chromosomal IBD coefficients are defined similarly to the autosomal
case. Here \kappa_2
is undefined when one or both individuals are male,
which greatly simplifies the calculations when males are involved. The
formulas are (with \varphi_{ab}
now referring to the X-chromosomal
kinship coefficient):
Both male: (\kappa_0, \kappa_1, \kappa_2) = (1-\varphi_{ab}, \varphi_{ab}, \text{NA})
One male, one female: (\kappa_0, \kappa_1, \kappa_2) = (1-2 \varphi_{ab},
2 \varphi_{ab}, \text{NA})
Two females: Similar formulas as in the autosomal case.
If ids
has length 2 and simplify = TRUE
: A numeric vector of
length 3: (\kappa_0, \kappa_1, \kappa_2)
.
Otherwise: A data frame with one row for each pair of individuals, and 5 columns. The first two columns contain the ID labels, and columns 3-5 contain the IBD coefficients.
Kappa coefficients of inbred individuals (meaning X-inbred females if
Xchrom = T
) are reported as NA, unless inbredAction = 2
.
The X-chromosomal \kappa_2
is NA whenever at least one of the two
individuals is male.
kinship()
, identityCoefs()
for coefficients allowing inbreeding,
showInTriangle()
for plotting kappa coefficients in the IBD triangle.
### Siblings
x = nuclearPed(2)
kappaIBD(x)
k = kappaIBD(x, 3:4)
stopifnot(identical(k, c(.25, .5, .25)))
### Quad half first cousins
x = quadHalfFirstCousins()
k = kappaIBD(x, ids = leaves(x))
stopifnot(identical(k, c(17/32, 14/32, 1/32)))
### Paternal half brothers with 100% inbred father
# Genetically indistinguishable from an (outbred) father-son relationship
x = halfSibPed() |> setFounderInbreeding(ids = 2, value = 1)
plot(x, hatched = 4:5)
k = kappaIBD(x, 4:5)
stopifnot(identical(k, c(0, 1, 0)))
### X-chromosomal kappa
y = nuclearPed(2, sex = 2)
kappaIBD(y, Xchrom = TRUE)
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