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SimHOEPI: A resampling simulator for generating single nucleotide polymorphism data with a high-order epistasis

Yahan Li1, Xinrui Cai1, Junliang Shang1

  • 1School of Computer Science Qufu Normal University Rizhao China.

Quantitative Biology (Beijing, China)
|February 12, 2026
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Summary
This summary is machine-generated.

SimHOEPI is a new simulator for genetic studies that generates independent simulation data for high-order epistasis models. This tool aids in evaluating genome-wide association studies (GWAS) for complex diseases.

Keywords:
high‐order epistasis modelpenetrance tableresampling strategysimulationsingle nucleotide polymorphisms

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Area of Science:

  • Genetics and Bioinformatics
  • Computational Biology

Background:

  • Epistasis, gene interactions, is key to understanding complex disease heritability.
  • Genome-wide association studies (GWAS) require robust simulation data for tool evaluation.
  • Existing genetic simulators lack support for high-order epistasis and independent data generation.

Purpose of the Study:

  • Introduce SimHOEPI, a novel simulator for high-order epistasis.
  • Address limitations of current genetic simulation tools.
  • Facilitate accurate epistasis detection in GWAS.

Main Methods:

  • Developed SimHOEPI to calculate penetrance tables for high-order epistasis models.
  • Implemented a resampling strategy for independent simulation data generation.
  • Preserved realistic minor allele frequencies and accurate epistasis model embedding.

Main Results:

  • SimHOEPI successfully generates independent simulation SNP data with high-order epistasis.
  • The simulator maintains realistic allele frequencies and accurate model integration.
  • Achieved acceptable simulation times for complex genetic models.

Conclusions:

  • SimHOEPI offers a viable alternative for simulating genetic data with complex epistasis.
  • The tool enhances the evaluation of epistasis detection methods in GWAS.
  • Facilitates research into the genetic basis of complex diseases.