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. 2004 Nov;36(11):1133-7.
doi: 10.1038/ng1104-1133.

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

Gary A Churchill  1 , David C Airey, Hooman Allayee, Joe M Angel, Alan D Attie, Jackson Beatty, William 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 Cook, Roger 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, Zhonghua 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, Tim Wiltshire, Nengjun Yi, Dabao Zhang, Min Zhang, Fei Zou; Complex Trait Consortium
Affiliations

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

Gary A Churchill et al. Nat Genet. 2004 Nov.

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.

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