The Collaborative Cross, a community resource for the genetic analysis of complex traits

Gary A. Churchill, David C. Airey, Hooman Allayee, Joe M. Angel, Alan D. Attie, Jackson Beatty, Willam D. Beavis, John K. Belknap, Beth Bennett, Wade Berrettini, Andre Bleich, Molly Bogue, Karl W. Broman, Kari J. Buck, Ed Buckler, Margit Burmeister, Elissa J. Chesler, James M. Cheverud, Steven Clapcote, Melloni N. CookRoger D. Cox, John C. Crabbe, Wim E. Crusio, Ariel Darvasi, Christian F. Deschepper, R. W. Doerge, Charles R. Farber, Jiri Forejt, Daniel Gaile, Steven J. Garlow, Hartmut Geiger, Howard Gershenfeld, Terry Gordon, Jing Gu, Weikuan Gu, Gerald de Haan, Nancy L. Hayes, Craig Heller, Heinz Himmelbauer, Robert Hitzemann, Kent Hunter, Hui Chen Hsu, Fuad A. Iraqi, Boris Ivandic, Howard J. Jacob, Ritsert C. Jansen, Karl J. Jepsen, Dabney K. Johnson, Thomas E. Johnson, Gerd Kempermann, Christina Kendziorski, Malak Kotb, R. Frank Kooy, Bastien Llamas, Frank Lammert, Jean Michel Lassalle, Pedro R. Lowenstein, Lu Lu, Aldons Lusis, Kenneth F. Manly, Ralph Marcucio, Doug Matthews, Juan F. Medrano, Darla R. Miller, Guy Mittleman, Beverly A. Mock, Jeffrey S. Mogil, Xavier Montagutelli, Grant Morahan, David G. Morris, Richard Mott, Joseph H. Nadeau, Hiroki Nagase, Richard S. Nowakowski, Bruce F. O'Hara, Alexander V. Osadchuk, Grier P. Page, Beverly Paigen, Kenneth Paigen, Abraham A. Palmer, Huei Ju Pan, Leena Peltonen-Palotie, Jeremy Peirce, Daniel Pomp, Michal Pravenec, Daniel R. Prows, Zonghua Qi, Roger H. Reeves, John Roder, Glenn D. Rosen, Eric E. Schadt, Leonard C. Schalkwyk, Ze'ev Seltzer, Kazuhiro Shimomura, Siming Shou, Mikko J. Sillanpää, Linda D. Siracusa, Hans Willem Snoeck, Jimmy L. Spearow, Karen Svenson, Lisa M. Tarantino, David Threadgill, Linda A. Toth, William Valdar, Fernando Pardo-Manuel de Villena, Craig Warden, Steve Whatley, Robert W. Williams, Tom Wiltshire, Nengjun Yi, Dabao Zhang, Min Zhang, Fei Zou

Research output: Contribution to journalReview article

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Abstract

The goal of the Complex Trait Consortium is to promote the development of resources that can be used to understand, treat and ultimately prevent pervasive human diseases. Existing and proposed mouse resources that are optimized to study the actions of isolated genetic loci on a fixed background are less effective for studying intact polygenic networks and interactions among genes, environments, pathogens and other factors. The Collaborative Cross will provide a common reference panel specifically designed for the integrative analysis of complex systems and will change the way we approach human health and disease.

Original languageEnglish (US)
Pages (from-to)1133-1137
Number of pages5
JournalNature genetics
Volume36
Issue number11
DOIs
StatePublished - Nov 2004

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ASJC Scopus subject areas

  • Genetics

Cite this

Churchill, G. A., Airey, D. C., Allayee, H., Angel, J. M., Attie, A. D., Beatty, J., Beavis, W. D., Belknap, J. K., Bennett, B., Berrettini, W., Bleich, A., Bogue, M., Broman, K. W., Buck, K. J., Buckler, E., Burmeister, M., Chesler, E. J., Cheverud, J. M., Clapcote, S., ... Zou, F. (2004). The Collaborative Cross, a community resource for the genetic analysis of complex traits. Nature genetics, 36(11), 1133-1137. https://doi.org/10.1038/ng1104-1133