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) <doi:10.1186/s12859-020-03804-y>.
Package details |
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Author | Samuel Fernandes [aut, cre] (<https://orcid.org/0000-0001-8269-535X>), Alexander Lipka [aut] (<https://orcid.org/0000-0003-1571-8528>) |
Maintainer | Samuel Fernandes <samuelf@illinois.edu> |
License | MIT + file LICENSE |
Version | 1.3.0 |
URL | https://github.com/samuelbfernandes/simplePHENOTYPES |
Package repository | View on CRAN |
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