kinship: Functions for calculating kinship matrices

In statgenGWAS: Genome Wide Association Studies

Functions for calculating kinship matrices

Description

A collection of functions for calculating kinship matrices using different algorithms. The following algorithms are included: astle (Astle and Balding, 2009), Identity By State (IBS) and VanRaden (VanRaden, 2008) for marker matrices. For method identity an identity kinship matrix is returned.

Usage

kinship(
  X,
  method = c("astle", "IBS", "vanRaden", "identity"),
  MAF = NULL,
  denominator = NULL
)

Arguments

X	An n x m marker matrix with genotypes in the rows (n) and markers in the columns (m).
method	The method used for computing the kinship matrix.
MAF	The minor allele frequency (MAF) threshold used in kinship computation. A numerical value between 0 and 1. SNPs with MAF below this value are not taken into account when computing the kinship. If NULL all markers are used regardless of their allele frequency.
denominator	A numerical value. See details.

Value

An n x n kinship matrix.

Marker matrices

In all algorithms the input matrix X is first cleaned, i.e. markers with a variance of 0 are excluded from the calculation of the kinship matrix. Then some form of scaling is done which differs per algorithm. This gives a scaled matrix Z. The matrix ZZ^t / denominator is returned. By default the denominator is equal to the number of columns in Z for astle and IBS and 2 * p * (1-p) where p = colSums(X) / (2 * nrow(X)) for vanRaden. This denominator can be overwritten by the user, e.g. when computing kinship matrices by splitting X in smaller matrices and then adding the results together in the end.

References

Astle, William, and David J. Balding. 2009. “Population Structure and Cryptic Relatedness in Genetic Association Studies.” Statistical Science 24 (4): 451–71. doi: 10.1214/09-sts307.

VanRaden P.M. (2008) Efficient methods to compute genomic predictions. Journal of Dairy Science 91 (11): 4414–23. doi: 10.3168/jds.2007-0980.

Examples

## Create example matrix.
M <- matrix(c(1, 1, 1, 0, 0, 0, 1, 1, 0, 0, 0, 0, 1, 0, 1, 1), nrow = 4)

## Compute kinship matrices using different methods.
kinship(M, method = "astle")
kinship(M, method = "IBS")
kinship(M, method = "vanRaden")

## Only use markers with a Minor Allele Frequency of 0.3 or more.
kinship(M, method = "astle", MAF = 0.3)

## Compute kinship matrix using astle and balding method with denominator 2.
kinship(M, method = "astle", denominator = 2)

statgenGWAS documentation built on Oct. 13, 2022, 5:05 p.m.