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Complex Trait Analyses of the Collaborative Cross: Tools and Databases.

Ramesh Ram¹, Grant Morahan²

¹Centre for Diabetes Research, Harry Perkins Institute of Medical Research, The University of Western Australia, 6 Verdun Street, Nedlands, WA, 6009, Australia.

Methods in Molecular Biology (Clifton, N.J.)

|December 10, 2016

Summary

This summary is machine-generated.

The Collaborative Cross (CC) mouse resource aids complex genetic trait research. This guide details CC tools and methods for gene mapping and identification, with practical examples.

Keywords:

Analysis tools in systems genetics Collaborative Cross Haplotype analysis Imputation Mixed model Quantitative trait loci (QTL) mapping methods Whole-genome association

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Area of Science:

Genetics
Genomics
Bioinformatics

Background:

The Collaborative Cross (CC) is a unique mouse resource for studying complex genetic traits.
Investigating the genetic basis of complex traits requires sophisticated tools and methodologies.

Purpose of the Study:

To outline gene mapping and identification strategies using the CC mouse resource.
To provide practical examples of data analysis procedures for CC studies.

Main Methods:

Utilizing the genetic diversity within the CC for quantitative trait loci (QTL) mapping.
Employing various statistical and computational tools for gene identification in CC populations.
Illustrating data analysis workflows with specific case examples.

Main Results:

Demonstration of effective gene mapping techniques within the CC.
Successful identification of genes underlying complex traits using CC data.
Validation of data analysis procedures through practical applications.

Conclusions:

The CC is an invaluable resource for dissecting the genetic architecture of complex traits.
The discussed tools and techniques facilitate robust gene mapping and identification in CC mice.
This work provides a practical framework for researchers utilizing the CC for genetic studies.