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Related Concept Videos

Genetic Screens02:46

Genetic Screens

Genetic screens are tools used to identify genes and mutations responsible for phenotypes of interest. Genetic screens help identify individuals or a group of people at risk of developing  genetic diseases and help them with early intervention, targeted therapy, and reproductive options.
Forward genetic screens
Forward or “classical” genetic screens involve creating random mutations in an organism’s DNA using radiation, mutagens, or insertion of additional bases, which result in visible changes...

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Content and Performance of the MiniMUGA Genotyping Array: A New Tool To Improve Rigor and Reproducibility in Mouse

John Sebastian Sigmon1, Matthew W Blanchard2,3, Ralph S Baric4

  • 1Department of Computer Science, University of North Carolina, Chapel Hill, North Carolina 27599.

Genetics
|October 17, 2020
PubMed
Summary

MiniMUGA is a new genetic quality control (QC) platform for laboratory mice, offering improved strain discrimination and detection of genetic anomalies. This tool enhances the rigor and reproducibility of biomedical research using mouse models.

Keywords:
chromosomal sexdiagnostic SNPsgenetic QCgenetic backgroundgenetic constructssubstrains

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Area of Science:

  • Genetics and Genomics
  • Animal Models
  • Biomedical Research

Background:

  • Laboratory mice are crucial for biomedical research due to their genetic resources and manipulability.
  • Standardized genetic quality control (QC) is lacking, hindering research reproducibility.
  • Genotyping arrays remain valuable QC tools, even with whole-genome sequencing advancements.

Purpose of the Study:

  • To introduce and evaluate MiniMUGA, a novel array-based genetic QC platform for mice.
  • To assess MiniMUGA's performance in strain discrimination, genetic anomaly detection, and QC reporting.
  • To provide a robust and cost-effective tool for improving mouse research rigor.

Main Methods:

  • Developed MiniMUGA with over 11,000 probes, incorporating features for sex determination, substrain discrimination, and genetic construct detection.
  • Genotyped 6,899 diverse mouse samples to evaluate MiniMUGA's performance and robustness.
  • Generated publicly available consensus genotypes for 241 inbred mouse strains.

Main Results:

  • MiniMUGA demonstrated superior discrimination and robustness compared to previous Mouse Universal Genotyping Array (MUGA) iterations.
  • Successfully detected chromosomal sex, substrain differences, genetic constructs, XO/XXY individuals, and potential mosaicism.
  • Identified new markers for reduced complexity crosses and provided preliminary evidence for detecting partial sex chromosome duplication.

Conclusions:

  • MiniMUGA is a valuable and versatile platform for genetic QC in laboratory mice.
  • The array significantly enhances the ability to identify genetic variations and potential errors.
  • MiniMUGA is poised to increase the rigor and reproducibility of mouse-based biomedical research.