phenosim
phenosim simulates phenotypes for genotypes produced by coalescent simulations to model additive and epistatic genetic effects, generate qualitative and quantitative traits, and assess statistical power in genome-wide association studies.
Key Features:
- Integration with Coalescent Simulations: Reads outputs from coalescent simulators and uses those genotypes to simulate qualitative and quantitative phenotypes according to user-defined parameters and demographic models.
- Phenotypic Variation Modeling: Partitions phenotypic variation into additive effects and epistatic interactions among causal genetic variants.
- Output Compatibility: Produces output formats compatible with GWAS tools for downstream association analyses.
- Assessment of Statistical Power: Simulates phenotypes alongside genotypes to evaluate how demography, genetic architecture, and selection influence the statistical power of association methods.
Scientific Applications:
- Genome-wide association study simulation: Generates genotype–phenotype datasets for GWAS, including use cases in Arabidopsis thaliana.
- Power and method evaluation: Assesses the impact of demography, genetic architecture, and selection on detection of causal variants and statistical power of association methods.
- Complex trait and population genetics research: Models additive and epistatic interactions and multiple trait types to investigate genetic architectures and trait evolution.
Methodology:
Consumes genotype data produced by coalescent simulations and adds phenotypes (qualitative and quantitative) according to specified parameters, partitioning effects into additive components and epistatic interactions.
Topics
Details
- Tool Type:
- desktop application
- Operating Systems:
- Linux, Windows, Mac
- Programming Languages:
- Python
- Added:
- 8/3/2017
- Last Updated:
- 11/25/2024
Operations
Publications
Günther T, Gawenda I, Schmid KJ. phenosim - A software to simulate phenotypes for testing in genome-wide association studies. BMC Bioinformatics. 2011;12(1). doi:10.1186/1471-2105-12-265. PMID:21714868. PMCID:PMC3150295.