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

2004; Nature Portfolio; Volume: 36; Issue: 11 Linguagem: Inglês

10.1038/ng1104-1133

1546-1718

Gary A. Churchill, David Airey, Hooman Allayee, Joe M. Angel, Alan Attie, J. Thomas Beatty, William D. Beavis, John K. Belknap, Beth Bennett, Wade H. Berrettini, André Bleich, Molly A. Bogue, Karl W. Broman, Kari J. Buck, Edward S. Buckler, Margit Burmeister, Elissa J. Chesler, James M. Cheverud, Steven J. Clapcote, Melloni N. Cook, Roger Cox, John C. Crabbe, Wim E. Crusio, Ariel Darvasi, Christian F. Deschepper, R. W. Doerge, Charles R. Farber, Jiřı́ Forejt, Daniel P. Gaile, Steven J. Garlow, Hartmut Geiger, Howard K. Gershenfeld, Terry Gordon, Jing Gu, Weikuan Gu, Gerald de Haan, Nancy L. Hayes, Craig Heller, Heinz Himmelbauer, Robert Hitzemann, Kent W. 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. Löwenstein, Lu Lu, Aldons J. 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, D.G. Morris, Richard Mott, Joseph H. Nadeau, Hiroki Nagase, Richard S. Nowakowski, Bruce F. O’Hara, А. В. Осадчук, Grier P. Page, Beverly Paigen, Kenneth Paigen, Abraham A. Palmer, Huei-Ju Pan, Leena Peltonen-Palotie, Jeremy L. 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 L. Svenson, Lisa M. Tarantino, David W. Threadgill, Linda A Toth, William Valdar, Fernando Pardo‐Manuel de Villena, Craig H. Warden, Steve Whatley, Robert W. Williams, Tim Wiltshire, Nengjun Yi, Dabao Zhang, Min Zhang, Fei Zou,

Gene Regulatory Network Analysis

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.