Reproducible simulations of realistic samples for next-generation sequencing studies using Variant Simulation Tools

Area of Science:

• Computational Biology
• Genetics
• Bioinformatics

Background:

• Computer simulations are crucial for validating statistical methods in genetic epidemiology.
• Existing simulation tools face challenges in generating realistic datasets for whole-genome and whole-exome sequencing studies.
• There's a need for simulators that capture complex genetic variant features and human genome characteristics.

Purpose of the Study:

• To introduce Variant Simulation Tools (VST), a module within Variant Tools.
• To provide a novel forward-time simulation engine for genetic variant simulation in sequencing studies.
• To facilitate the creation and distribution of realistic simulated genetic datasets for research.

Main Methods:

• VST utilizes a novel forward-time simulation engine.
• Simulates human genome nucleotide sequences incorporating DNA mutation models.
• Integrates fine-scale recombination maps and a selection model based on amino acid changes.

Main Results:

• VST supports simulation of multiallele variants, indels, and uses the Variant Call Format.
• The tool captures functional annotations of genetic variants.
• Enables users to create and distribute diverse simulation methods and datasets.

Conclusions:

• VST enhances the simulation of genetic variants for sequencing-based genetic epidemiology.
• The tool's design promotes reproducible research and fair comparison of statistical methods.
• VST addresses the pressing need for advanced genetic simulators in modern genetic studies.