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Dissecting quantitative traits in mice.

Richard Mott¹, Jonathan Flint

¹Wellcome Trust Center for Human Genetics, University of Oxford, Oxford OX3 7BN, United Kingdom; email: richard.mott@well.ox.ac.uk , jf@well.ox.ac.uk.

Annual Review of Genomics and Human Genetics

|July 10, 2013

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Advanced mouse genetics tools enable precise dissection of complex traits. New populations and methods reveal complex traits are influenced by multiple genetic loci and DNA variants, accelerating discovery.

Area of Science:

Genetics
Genomics
Quantitative Trait Loci (QTL) analysis

Background:

Complex trait mapping in mice has advanced significantly.
New mouse populations and statistical methods improve high-resolution mapping.
Existing genetic variation catalogs aid in understanding trait architecture.

Purpose of the Study:

To detail the enhanced mouse genetics toolbox for dissecting complex traits.
To explain how new populations and methodologies facilitate genetic analysis.
To highlight the impact of sequence variation catalogs on trait dissection.

Main Methods:

Utilizing new mouse populations for high-resolution mapping.
Applying statistical methodologies to control for population structure.

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Leveraging catalogs of sequence variation in inbred mouse strains.

Employing rapid methods for producing transgenic mice to test candidate genes.

Main Results:

Complex traits are caused by multiple contributing loci.
Each locus is likely influenced by multiple causal DNA variants.
The genetic architecture of complex traits can be dissected to the level of single variants.

Conclusions:

The mouse genetics toolbox is significantly enhanced for quantitative trait dissection.
Advances allow for the identification of multiple genetic factors contributing to complex traits.
Future research can efficiently test candidate genes and variants using transgenic models.