View source: R/functions_for_RGWAS.R
calcGRM | R Documentation |
Function to calculate genomic relationship matrix (GRM)
calcGRM(
genoMat,
methodGRM = "addNOIA",
subpop = NULL,
kernel.h = "tuned",
returnWMat = FALSE,
probaa = NULL,
probAa = NULL
)
genoMat |
A |
methodGRM |
Method to calculate genomic relationship matrix (GRM). We offer the following methods; "addNOIA", "domNOIA", "A.mat", "linear", "gaussian", "exponential", "correlation". For NOIA methods, please refer to Vitezica et al. 2017. |
subpop |
Sub-population names corresponding to each individual. By utilizing 'subpop' argument, you can consider the difference of allele frequencies between sub-populations when computing the genomic relationship matrix. This argument is only valid when NOIA methods are selected. |
kernel.h |
The hyper parameter for gaussian or exponential kernel. If kernel.h = "tuned", this hyper parameter is calculated as the median of off-diagonals of distance matrix of genotype data. |
returnWMat |
If this argument is TRUE, we will return W matrix instead of GRM.
Here, W satisfies |
probaa |
Probability of being homozygous for the reference allele for each marker. If NULL (default), it will be calculated from genoMat. |
probAa |
Probability of being heterozygous for the reference and alternative alleles for each marker If NULL (default), it will be calculated from genoMat. |
genomic relationship matrix (GRM)
Vitezica, Z.G., Legarra, A., Toro, M.A. and Varona, L. (2017) Orthogonal Estimates of Variances for Additive, Dominance, and Epistatic Effects in Populations. Genetics. 206(3): 1297-1307.
Endelman, J.B. and Jannink, J.L. (2012) Shrinkage Estimation of the Realized Relationship Matrix. G3 Genes, Genomes, Genet. 2(11): 1405-1413.
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