The Collaborative Cross: A Recombinant Inbred Mouse Population for the Systems Genetic Era (original) (raw)

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David W. Threadgill, PhD, is a professor in and head of the Department of Genetics at North Carolina State University in Raleigh. Darla R. Miller, BA, is the Project Manager for the CC in the Department of Genetics, Lineberger Comprehensive Cancer Center, Carolina Center for Genome Sciences at the University of North Carolina (UNC) in Chapel Hill. Gary A. Churchill, PhD, is a professor at the Jackson Laboratory in Bar Harbor, Maine. Fernando Pardo-Manuel de Villena, PhD, is an associate professor in the Department of Genetics, Lineberger Comprehensive Cancer Center, Carolina Center for Genome Sciences at UNC.

Address correspondence and reprint requests to Dr. Fernando Pardo-Manuel de Villena, Department of Genetics, University of North Carolina at Chapel Hill, Genetic Medicine Building 5046, 120 Mason Farm Road – CB 7264, Chapel Hill, NC 27599-7264 or email fernando@med.unc.edu .

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David W. Threadgill, PhD, is a professor in and head of the Department of Genetics at North Carolina State University in Raleigh. Darla R. Miller, BA, is the Project Manager for the CC in the Department of Genetics, Lineberger Comprehensive Cancer Center, Carolina Center for Genome Sciences at the University of North Carolina (UNC) in Chapel Hill. Gary A. Churchill, PhD, is a professor at the Jackson Laboratory in Bar Harbor, Maine. Fernando Pardo-Manuel de Villena, PhD, is an associate professor in the Department of Genetics, Lineberger Comprehensive Cancer Center, Carolina Center for Genome Sciences at UNC.

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David W. Threadgill, PhD, is a professor in and head of the Department of Genetics at North Carolina State University in Raleigh. Darla R. Miller, BA, is the Project Manager for the CC in the Department of Genetics, Lineberger Comprehensive Cancer Center, Carolina Center for Genome Sciences at the University of North Carolina (UNC) in Chapel Hill. Gary A. Churchill, PhD, is a professor at the Jackson Laboratory in Bar Harbor, Maine. Fernando Pardo-Manuel de Villena, PhD, is an associate professor in the Department of Genetics, Lineberger Comprehensive Cancer Center, Carolina Center for Genome Sciences at UNC.

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Fernando Pardo-Manuel de Villena

David W. Threadgill, PhD, is a professor in and head of the Department of Genetics at North Carolina State University in Raleigh. Darla R. Miller, BA, is the Project Manager for the CC in the Department of Genetics, Lineberger Comprehensive Cancer Center, Carolina Center for Genome Sciences at the University of North Carolina (UNC) in Chapel Hill. Gary A. Churchill, PhD, is a professor at the Jackson Laboratory in Bar Harbor, Maine. Fernando Pardo-Manuel de Villena, PhD, is an associate professor in the Department of Genetics, Lineberger Comprehensive Cancer Center, Carolina Center for Genome Sciences at UNC.

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David W. Threadgill, Darla R. Miller, Gary A. Churchill, Fernando Pardo-Manuel de Villena, The Collaborative Cross: A Recombinant Inbred Mouse Population for the Systems Genetic Era, ILAR Journal, Volume 52, Issue 1, 2011, Pages 24–31, https://doi.org/10.1093/ilar.52.1.24
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Abstract

The mouse is the most extensively used mammalian model for biomedical and aging research, and an extensive catalogue of laboratory resources is available to support research using mice: classical inbred lines, genetically modified mice (knockouts, transgenics, and humanized mice), selectively bred lines, consomics, congenics, recombinant inbred panels, outbred and heterogeneous stocks, and an expanding set of wild-derived strains. However, these resources were not designed or intended to model the heterogeneous human population or for a systematic analysis of phenotypic effects due to random combinations of uniformly distributed natural variants. The Collaborative Cross (CC) is a large panel of recently established multiparental recombinant inbred mouse lines specifically designed to overcome the limitations of existing mouse genetic resources for analysis of phenotypes caused by combinatorial allele effects. The CC models the complexity of the human genome and supports analyses of common human diseases with complex etiologies originating through interactions between allele combinations and the environment. The CC is the only mammalian resource that has high and uniform genomewide genetic variation effectively randomized across a large, heterogeneous, and infinitely reproducible population. The CC supports data integration across environmental and biological perturbations and across space (different labs) and time.

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© Institute for Laboratory Animal Research

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