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February 9, 2026Bioinformatics AdvancesOpen Access

Fast Phenotype Simulation for Genotype Representation Graphs

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Authors

ASA. H. SyamCornell UniversityCAChris AdonizioCornell UniversityXWXinzhu WeiCornell University

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Implication

Phenotype Simulator Improves Speed for Biobank-Scale Data, Indicating Enhanced Statistical Genetics Tools.

Key Points

  • This research aims to develop GrgPhenoSim, a fast simulator for phenotypes based on genotype representation graphs (GRGs).
  • Developed GrgPhenoSim for simulating phenotypes on biobank-scale datasets.
  • Implemented a standardized output structure.
  • Included support for customized simulations.
  • Compared speed against tstrait phenotype simulator in various sample sizes.
  • GrgPhenoSim is dozens to hundreds of times faster than tstrait.
  • Efficiency increases in simulations ranging from thousands to hundreds of thousands of samples.
  • Maintains all primary functionalities of a phenotype simulator.

Cite This Study

Syam et al. (2026) studied this question.

synapsesocial.com/papers/698979e9f0ec2af6756e7f2dhttps://doi.org/10.1093/bioadv/vbag040
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