copheism

copheism simulates continuous, dichotomous, and survival phenotypes from genotype datasets to enable testing and validation of genome-wide association study (GWAS) methods.


Key Features:

  • Phenotype simulation: Generates continuous, dichotomous, and survival phenotypes from existing genotype data.
  • Integration with genetic simulators: Adds phenotype information to genotype data previously generated by other genetic simulators.
  • GWAS-compatible outputs: Produces phenotype outputs that can be directly used as inputs for genome-wide association study tools.

Scientific Applications:

  • Data substitution for missing empirical sets: Provides phenotypic data when empirical phenotype–genotype datasets are unavailable.
  • Method development and validation: Enables testing and validation of statistical models and algorithms used in GWAS under controlled conditions.
  • Hypothesis testing and exploration: Supports exploration of genetic associations and controlled hypothesis testing by simulating specific phenotype scenarios.

Methodology:

Integrates simulated genotype data with algorithmically generated phenotype information, supporting continuous, dichotomous, and survival phenotypes.

Topics

Details

License:
MIT
Tool Type:
command-line tool
Operating Systems:
Linux, Windows, Mac
Programming Languages:
Shell, R, Python
Added:
8/17/2018
Last Updated:
12/10/2018

Operations

Publications

Zhbannikov IY, Arbeev KG, Yashin AI. cophesim: A comprehensive phenotype simulator for testing novel association methods. F1000Research. 2017;6:1294. doi:10.12688/f1000research.11968.1. PMID:28979766. PMCID:PMC5605948.

Funding: - National Institute on Aging: P01AG043352, P30AG034424, R01AG046860

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