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Epistasis

Epistasis

In addition to multiple alleles at the same locus influencing traits, numerous genes or alleles at different locations may interact and influence phenotypes in a phenomenon called epistasis. For example, rabbit fur can be black or brown depending on whether the animal is homozygous dominant or heterozygous at a TYRP1 locus. However, if the rabbit is also homozygous recessive at a locus on the tyrosinase gene (TYR), it will have an unshaded coat that appears white, regardless of its TYRP1...

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Related Experiment Video

Updated: Jun 23, 2026

A New Technique for Quantitative Analysis of Hair Loss in Mice Using Grayscale Analysis

A New Technique for Quantitative Analysis of Hair Loss in Mice Using Grayscale Analysis

Published on: March 9, 2015

A method to quantify mouse coat-color proportions.

Songthip Ounpraseuth¹, Tonya M Rafferty, Rachel E McDonald-Phillips

¹Department of Biostatistics, The University of Arkansas for Medical Sciences, Little Rock, Arkansas, United States of America.

|May 1, 2009

Summary

This summary is machine-generated.

This study introduces a digital imaging method to objectively quantify mouse coat color proportions. This approach provides precise, traceable data for epigenetic studies and other research relying on coat-color readouts.

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Last Updated: Jun 23, 2026

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Area of Science:

Genetics and Epigenetics
Animal Models
Bioimaging

Background:

Mouse coat color patterns are crucial for various biological assays, including transgene expression, chimerism, and epigenetic studies.
Current methods for assessing coat color often rely on subjective scoring, limiting precision and reproducibility.
Objective quantification is needed for accurate comparisons within and between studies.

Purpose of the Study:

To develop and demonstrate an objective, image-based method for quantifying mouse coat color proportions.
To establish a traceable and reproducible system for coat-color analysis.
To validate the method using the yellow-agouti mouse model for epigenetic variegation.

Main Methods:

Digital images of mouse coats were captured using a conventional digital camera.
Image analysis involved converting specific coat regions (agouti to brown, yellow to yellow) to uniform colors using raster graphics editing software.
A separate program quantified the proportions of these standardized colors within the digital images.

Main Results:

The developed method accurately quantifies mouse coat color as a proportion of the total coat visible in digital images.
The technique was successfully demonstrated on the yellow-agouti mouse model, highlighting its utility for studying epigenetic variegation.
The quantification directly correlates with the visual appearance of the live animal.

Conclusions:

This digital image analysis method offers an objective, traceable, and precise alternative to subjective coat-color scoring in mice.
The approach enhances the reliability of coat-color readouts in various biological research fields.
It facilitates accurate comparisons of mouse coat phenotypes across different experiments and research groups.