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Updated: May 21, 2026

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Simulating gene-gene and gene-environment interactions in complex diseases: Gene-Environment iNteraction Simulator 2.
Michele Pinelli1, Giovanni Scala, Roberto Amato
1Gruppo Interdipartimentale di Bioinformatica e Biologia Computazionale, Università di Napoli "Federico II" - Università di Salerno, Italy. michele.pinelli@unina.it
The Gene-Environment iNteraction Simulator 2 (GENS2) generates realistic data for testing statistical models that identify gene-gene and gene-environment interactions in complex diseases.
Area of Science:
- Human genetics
- Computational biology
- Statistical genetics
Background:
- Complex diseases involve multifactorial genetic and environmental influences.
- Current statistical models struggle to identify these interacting factors.
- Simulations with realistic data are crucial for method evaluation.
Purpose of the Study:
- To introduce the Gene-Environment iNteraction Simulator 2 (GENS2).
- To provide a tool for simulating gene-gene and gene-environment interactions.
- To generate benchmark datasets for statistical model assessment.
Main Methods:
- GENS2 simulates interactions among genetic and environmental factors, including epistasis.
- It utilizes realistic linkage disequilibrium patterns and supports large datasets.
- The simulator offers an intuitive interface with epidemiological quantities and is Python-based.
Main Results:
- GENS2 can simulate complex gene-gene and gene-environment interactions.
- It imposes no limitations on the number of individuals or non-predisposing factors.
- The tool is available with graphical and command-line interfaces.
Conclusions:
- GENS2 provides a valuable resource for simulating interaction data.
- The generated data serves as a benchmark for statistical tools.
- It aids in the evaluation of methods for identifying complex disease interactions.
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