This function calculates the relatedness coefficient between two individuals based on their shared ancestry, as described by Wright (1922).
Usage
calculateRelatedness(
generations = 2,
path = NULL,
full = TRUE,
maternal = FALSE,
empirical = FALSE,
segregating = TRUE,
total_a = 6800 * 1e+06,
total_m = 16500,
weight_a = 1,
weight_m = 1,
denom_m = FALSE,
...
)
Arguments
- generations
Number of generations back of common ancestors the pair share.
- path
Traditional method to count common ancestry, which is twice the number of generations removed from common ancestors. If not provided, it is calculated as 2*generations.
- full
Logical. Indicates if the kin share both parents at the common ancestor's generation. Default is TRUE.
- maternal
Logical. Indicates if the maternal lineage should be considered in the calculation.
- empirical
Logical. Adjusts the coefficient based on empirical data, using the total number of nucleotides and other parameters.
- segregating
Logical. Adjusts for segregating genes.
- total_a
Numeric. Represents the total size of the autosomal genome in terms of nucleotides, used in empirical adjustment. Default is 6800*1000000.
- total_m
Numeric. Represents the total size of the mitochondrial genome in terms of nucleotides, used in empirical adjustment. Default is 16500.
- weight_a
Numeric. Represents the weight of phenotypic influence from additive genetic variance, used in empirical adjustment.
- weight_m
Numeric. Represents the weight of phenotypic influence from mitochondrial effects, used in empirical adjustment.
- denom_m
Logical. Indicates if `total_m` and `weight_m` should be included in the denominator of the empirical adjustment calculation.
- ...
Further named arguments that may be passed to another function.
Value
Relatedness Coefficient (`coef`): A measure of the genetic relationship between two individuals.