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Updated: Jun 22, 2026

Mouse Genome Engineering Using Designer Nucleases

Mouse Genome Engineering Using Designer Nucleases

Published on: April 2, 2014

A new standard genetic map for the laboratory mouse.

Allison Cox¹, Cheryl L Ackert-Bicknell, Beth L Dumont

¹The Jackson Laboratory, 600 Main Street, Bar Harbor, Maine 04609, USA.

|June 19, 2009

Summary

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Researchers created a new mouse genome genetic map using 10,195 single nucleotide polymorphisms. This improved quantitative trait loci (QTL) mapping by correcting errors in marker order, offering a more accurate view of recombination.

Area of Science:

Genomics and Genetics
Molecular Biology
Bioinformatics

Background:

Genetic maps estimate linked loci co-inheritance across generations.
Physical maps (DNA base pairs) are standard for genome navigation.
Recombination frequency varies along chromosomes and between sexes.

Purpose of the Study:

To construct a revised, high-resolution genetic map of the mouse genome.
To integrate genetic and physical maps for improved genomic analysis.
To enhance quantitative trait loci (QTL) mapping accuracy.

Main Methods:

Utilized high-resolution genetic map data from a large mouse population.
Incorporated 10,195 single nucleotide polymorphisms (SNPs) across 47 families (3546 meioses).

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Last Updated: Jun 22, 2026

Mouse Genome Engineering Using Designer Nucleases

Mouse Genome Engineering Using Designer Nucleases

Published on: April 2, 2014

A Non-random Mouse Model for Pharmacological Reactivation of Mecp2 on the Inactive X Chromosome

A Non-random Mouse Model for Pharmacological Reactivation of Mecp2 on the Inactive X Chromosome

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Elevated Plus Maze for Mice

Elevated Plus Maze for Mice

Published on: December 22, 2008

Integrated genetic and physical maps, including Short Sequence Length Polymorphisms (SSLP) markers.

Main Results:

Developed a revised mouse genome genetic map with a novel view of recombination.
Demonstrated improved QTL mapping accuracy using the revised genetic map.
Resolved previously undetected errors in chromosomal marker ordering.

Conclusions:

The revised genetic map provides a more accurate representation of the mouse genome.
Improved marker ordering and integration of genetic/physical maps enhance genomic studies.
This work refines our understanding of recombination and its impact on genetic mapping.