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Power analyses to inform Duplex Sequencing study designs for MutaMouse liver and bone marrow
Elena Esina1, Annette E Dodge2, Andrew Williams2
1Department of Biology, University of Ottawa, Ottawa, Ontario, Canada.
Environmental and Molecular Mutagenesis
|September 13, 2024
Summary
Duplex Sequencing (DS) offers enhanced accuracy for mutagenicity testing. A sample size of four animals per group provides over 80% power to detect a two-fold increase in mutation frequency, optimizing study designs.
Area of Science:
- Toxicology
- Genetics
- Next-Generation Sequencing
Background:
- Regulatory genetic toxicology testing identifies mutagenic hazards.
- Duplex Sequencing (DS) offers improved accuracy and broader applicability over conventional mutagenicity assays.
- Power analyses are crucial for optimizing DS in regulatory toxicology study designs.
Purpose of the Study:
- To explore study designs for sufficient power in chemical mutagenicity assessment using Duplex Sequencing.
- To determine optimal sample sizes and sequencing parameters for regulatory toxicology testing with DS.
- To provide foundational data for establishing robust mutagenicity testing protocols using DS.
Main Methods:
- Analysis of MutaMouse bone marrow and liver samples using Duplex Sequencing (DS) and TwinStrand's Mouse Mutagenesis Panel.
- Collection of empirical data on duplex reads, baseline mutation frequencies, and standard deviations.
- Simulation analyses based on empirically derived parameters to assess power for various effect sizes and sample sizes.
Main Results:
- Average duplex reads exceeded 8.4 x 10^8 for liver and 9.5 x 10^8 for bone marrow.
- Baseline mutation frequencies were consistently low (4.6 x 10^-8) with manageable animal-to-animal variability.
- A sample size of four animals per group achieved over 80% power to detect a two-fold change in mutation frequency.
Conclusions:
- Four animals per group are sufficient for DS-based mutagenicity testing to detect biologically relevant changes.
- Empirical data and simulation analyses provide a basis for designing efficient regulatory toxicology studies using DS.
- DS is a powerful tool for advancing genetic toxicology assessment, offering enhanced sensitivity and reliability.

