Simulation of Pleiotropic, Linked and Epistatic Phenotypes

The number of studies involving correlated traits and the availability of tools to handle this type of data has increased considerably in the last decade. With such a demand, we need tools for testing hypotheses related to single and multi-trait (correlated) phenotypes based on many genetic settings. Thus, we implemented various options for simulation of pleiotropy and Linkage Disequilibrium under additive, dominance and epistatic models. The simulation currently takes a marker data set as an input and then uses it for simulating multiple traits as described in Fernandes and Lipka (2020) .


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1.3.0 by Samuel Fernandes, a year ago

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Authors: Samuel Fernandes [aut, cre] , Alexander Lipka [aut]

Documentation:   PDF Manual  

MIT + file LICENSE license

Imports data.table, mvtnorm, stats, utils, SNPRelate, gdsfmt

Suggests knitr, rmarkdown

See at CRAN