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RepeatABEL (version 1.1)

RepeatABEL-package: GWAS for repeated observations on related individuals

Description

The RepeatABEL package computes score statistic based p-values for a linear mixed model including random polygenic effects and a random effect for repeated measurements. A p-value is computed for each marker and the null hypothesis tested is that the additive marker effect is zero.

Arguments

Details

Package:
RepeatABEL
Type:
Package
Version:
1.1
Date:
2016-08-19
License:
GPL
Depends:
hglm, GenABEL
The core function is rGLS that requires an GenABEL object as input and produces an GenABEL object.

References

Ronnegard et al. (2016). Increasing the power of genome wide association studies in natural populations using repeated measures: evaluation and implementation.. Methods in Ecology and Evolution, 7, 792-799.

Husby et al. (2015) Genome-wide association mapping in a wild avian population identifies a link between genetic and phenotypic variation in a life history trait. Proceedings of the Royal Society B: Biological Sciences, 282(1806), 20150156.

Ronnegard, Shen & Alam (2010). hglm: A Package for Fitting Hierarchical Generalized Linear Models. The R Journal, 2(2), 20-28.

See Also

rGLS