GCcattle: Cattle dataset
In HaipengU/GCA: Genetic Connectedness Analysis

GCcattle

R Documentation

Cattle dataset

Description

The cattle dataset is simulated with QMSim software (Sargolzaei and Schenkel, 2009). This dataset includes 2,500 individuals across six generations (from founder to generation 5), each with 10,000 single nucleotide polymorphisms spread over 29 autosomes. Single phenotype with heritability of 0.6 was simulated. Two fixed covariates of sex and unit are available.

Usage

data(GCcattle)

Format

cattle.pheno: A matrix with a dimension of 2500 x 6, which includes one phenotype, two fixed covariates and pedigree information.
catlle.W: A 2500 by 10,000 matrix, which contains marker information.

Author(s)

Haipeng Yu and Gota Morota

Maintainer: Haipeng Yu haipengyu@vt.edu

References

Sargolzaei, M., and F. S. Schenkel. 2009. Qmsim: a large-scale genome simulator for livestock. Bioinformatics 25:680–681. doi:10.1093/bioinformatics/btp045

Examples

# Load cattle dataset
data(GCcattle)

# Check phenotype, fixed covariates and pedigree information
str(cattle.pheno)

# Check marker information
str(cattle.W)

HaipengU/GCA documentation built on Oct. 1, 2023, 3:13 p.m.