A simple method for combining genetic mapping data from multiple crosses and experimental designs.

Autor: Jeremy L Peirce, Karl W Broman, Lu Lu, Robert W Williams

Publikováno v: PLoS ONE, Vol 2, Iss 10, p e1036 (2007)

Over the past decade many linkage studies have defined chromosomal intervals containing polymorphisms that modulate a variety of traits. Many phenotypes are now associated with enough mapping data that meta-analysis could help refine locations of kno

Externí odkaz: https://doaj.org/article/0fa3980ba4354a8bbbee16e1c2f717f0

An integrative genomics strategy for systematic characterization of genetic loci modulating phenotypes

Autor: Lu Lu, Dan Goldowitz, Mi Zhou, Yan Cui, Jeremy L. Peirce, Lei Bao, Robert W. Williams, Hongqiang Li

Publikováno v: Human Molecular Genetics. 16:1381-1390

Naturally occurring genetic variations may affect certain phenotypes through influencing transcript levels of the genes that are causally related to those phenotypes. Genomic regions harboring common sequence variants that modulate gene expression ca

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::dda1cc6ab9fd55738efb62535b32c219
https://doi.org/10.1093/hmg/ddm089

How replicable are mRNA expression QTL?

Autor: Hongqiang Li, Robert Hitzemann, Robert W. Williams, Jintao Wang, Kenneth F. Manly, Thomas R. Sutter, Glenn D. Rosen, Shirlean Goodwin, Lu Lu, John K. Belknap, Jeremy L. Peirce

Publikováno v: Mammalian Genome. 17:643-656

Applying quantitative trait analysis methods to genome-wide microarray-derived mRNA expression phenotypes in segregating populations is a valuable tool in the attempt to link high-level traits to their molecular causes. The massive multiple-testing i

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ebd3d8fb418433b91d3c01b991a8a2a9
https://doi.org/10.1007/s00335-005-0187-8

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

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

Publikováno v: Nature genetics
Nature Genetics, 36(11), 1133-1137. Nature Publishing Group

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 o

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::22fbe78c64861214f31a9f84652155be
https://research.rug.nl/en/publications/fa30153c-07b8-4288-9367-013f6e46cd34

A major influence of sex-specific loci on alcohol preference in C57Bl/6 and DBA/2 inbred mice

Autor: Rachel Derr, Jeremy L. Peirce, Lee M. Silver, Jay Shendure, Therese Kolata

Publikováno v: Mammalian Genome. 9:942-948

C57Bl/6 mice reproducibly prefer to ingest more 10% ethanol in a two-bottle choice paradigm than do DBA/2J mice. In this paper we report the identification of two new sex-specific alcohol preference (Alcp) loci. Melo and associates (1996) identified

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2d479036e63c87ce53c3dbbe273ecfd7
https://doi.org/10.1007/s003359900904