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  Statistical Analysis of the Comet Assay Using a Mixture of Gamma Distributions

 


B Shepherd, University of Washington;
GB Schaalje, KL O'Neill, Brigham Young University

The single cell gel electrophoresis (comet) assay is a popular method for analyzing nuclear DNA damage. In this technique, a measurement called the "tail moment" quantifies DNA damage for an individual cell. The distribution of tail moments among a group of cells on a slide (experimental unit) often follows a skewed bimodal distribution, perhaps because cells are at different stages of the cell cycle when exposed to treatments. To better examine DNA damage, the distribution of tail moments on a slide can be modeled using a mixture of two gamma distributions. Maximum likelihood, modified to accommodate left censored data, can be used to estimate the 5 parameters of the gamma mixture distribution for each slide. A weighted analysis of variance on the parameter estimates for the gamma mixtures can be performed to determine differences in DNA damage between treatments. These methods were applied to an experiment on the effect of thimadine kinase in DNA damage and repair. Analysis based on a mixture of gamma distributions was found to be more statistically valid and more scientifically informative than an analysis on the log-transformed tail moments.

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