simulMGF (version 0.1.1)

simulU: Function to simulate a random SNP matrix, phenotype and QTLs with their effects

Description

This function simulate a SNP matrix (coded as 0, 1, 2) and traits with a selected number of QTLs and their effects that will be sampled from a Uniform distribution.

Usage

simulU(Nind, Nmarkers, Nqtl, Pmean, Perror)

Value

An object of class list containing the SNP matrix, the trait, the markers associated and their effects.

geno

SNP matrix generated.

pheno

vector with the trait values simulated.

QTN

column in the SNP matrix with the SNP associated.

Meffects

effects of the associated SNPs.

Arguments

Nind

number of individuals to simulate.

Nmarkers

number of SNP markers to generate.

Nqtl

number of QTLs controlling the trait.

Pmean

phenotype mean.

Perror

standard deviation of error (portion of phenotype not explained by genomic information).

Author

Martin Nahuel Garcia <orcid:0000-0001-5760-986X>

References

Wu, R., Ma, C., & Casella, G. (2007). Statistical genetics of quantitative traits: linkage, maps and QTL. Springer Science & Business Media.

See Also

simGeno, simulN

Examples

set.seed(123)
simulU(100, 1000, 50, 12, .5)
#[1] "usimout was generated"
str(usimout)
#List of 4
#$ geno    : num [1:100, 1:1000] 0 2 1 2 2 0 1 2 1 1 ...
#$ pheno   : num [1:100, 1] 10.3 14.7 11.8 10.2 13.1 ...
#$ QTN     : int [1:50] 568 474 529 349 45 732 416 51 413 514 ...
#$ Meffects: num [1:50] 0.2355 0.0158 -0.1369 -0.1246 0.7426 ...