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ABSTRACT: Background
Advances in genotyping and phenotyping techniques have enabled the acquisition of a great amount of data. Consequently, there is an interest in multivariate statistical analyses that identify genomic regions likely to contain causal mutations affecting multiple traits (i.e., pleiotropy). As the demand for multivariate analyses increases, it is imperative that optimal tools are available to assess their performance. To facilitate the testing and validation of these multivariate approaches, we developed simplePHENOTYPES, an R/CRAN package that simulates pleiotropy, partial pleiotropy, and spurious pleiotropy in a wide range of genetic architectures, including additive, dominance and epistatic models.Results
We illustrate simplePHENOTYPES' ability to simulate thousa
SUBMITTER: Fernandes SB
PROVIDER: S-EPMC7603745 | biostudies-literature | 2020 Oct
REPOSITORIES: biostudies-literature