Literature DB >> 18716833

The Collaborative Cross at Oak Ridge National Laboratory: developing a powerful resource for systems genetics.

Elissa J Chesler1, Darla R Miller, Lisa R Branstetter, Leslie D Galloway, Barbara L Jackson, Vivek M Philip, Brynn H Voy, Cymbeline T Culiat, David W Threadgill, Robert W Williams, Gary A Churchill, Dabney K Johnson, Kenneth F Manly.   

Abstract

Complex traits and disease comorbidity in humans and in model organisms are the result of naturally occurring polymorphisms that interact with each other and with the environment. To ensure the availability of resources needed to investigate biomolecular networks and systems-level phenotypes underlying complex traits, we have initiated breeding of a new genetic reference population of mice, the Collaborative Cross. This population has been designed to optimally support systems genetics analysis. Its novel and important features include a high level of genetic diversity, a large population size to ensure sufficient power in high-dimensional studies, and high mapping precision through accumulation of independent recombination events. Implementation of the Collaborative Cross has been ongoing at the Oak Ridge National Laboratory (ORNL) since May 2005. Production has been systematically managed using a software-assisted breeding program with fully traceable lineages, performed in a controlled environment. Currently, there are 650 lines in production, and close to 200 lines are now beyond their seventh generation of inbreeding. Retired breeders enter a high-throughput phenotyping protocol and DNA samples are banked for analyses of recombination history, allele drift and loss, and population structure. Herein we present a progress report of the Collaborative Cross breeding program at ORNL and a description of the kinds of investigations that this resource will support.

Entities:  

Mesh:

Year:  2008        PMID: 18716833      PMCID: PMC2745091          DOI: 10.1007/s00335-008-9135-8

Source DB:  PubMed          Journal:  Mamm Genome        ISSN: 0938-8990            Impact factor:   2.957


  10 in total

1.  A method for fine mapping quantitative trait loci in outbred animal stocks.

Authors:  R Mott; C J Talbot; M G Turri; A C Collins; J Flint
Journal:  Proc Natl Acad Sci U S A       Date:  2000-11-07       Impact factor: 11.205

Review 2.  Genetic dissection of complex and quantitative traits: from fantasy to reality via a community effort.

Authors:  David W Threadgill; Kent W Hunter; Robert W Williams
Journal:  Mamm Genome       Date:  2002-04       Impact factor: 2.957

3.  The genomes of recombinant inbred lines.

Authors:  Karl W Broman
Journal:  Genetics       Date:  2004-11-15       Impact factor: 4.562

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

Authors:  Gary A Churchill; 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
Journal:  Nat Genet       Date:  2004-11       Impact factor: 38.330

5.  Genome-wide genetic association of complex traits in heterogeneous stock mice.

Authors:  William Valdar; Leah C Solberg; Dominique Gauguier; Stephanie Burnett; Paul Klenerman; William O Cookson; Martin S Taylor; J Nicholas P Rawlins; Richard Mott; Jonathan Flint
Journal:  Nat Genet       Date:  2006-07-09       Impact factor: 38.330

6.  Simulating the collaborative cross: power of quantitative trait loci detection and mapping resolution in large sets of recombinant inbred strains of mice.

Authors:  William Valdar; Jonathan Flint; Richard Mott
Journal:  Genetics       Date:  2005-12-15       Impact factor: 4.562

7.  A torrid zone on mouse chromosome 1 containing a cluster of recombinational hotspots.

Authors:  Peter M Kelmenson; Petko Petkov; Xiaosong Wang; David C Higgins; Beverly J Paigen; Kenneth Paigen
Journal:  Genetics       Date:  2004-10-16       Impact factor: 4.562

8.  A rating scale for wildness and ease of handling laboratory mice: results for 21 inbred strains tested in two laboratories.

Authors:  D Wahlsten; P Metten; J C Crabbe
Journal:  Genes Brain Behav       Date:  2003-04       Impact factor: 3.449

9.  The polymorphism architecture of mouse genetic resources elucidated using genome-wide resequencing data: implications for QTL discovery and systems genetics.

Authors:  Adam Roberts; Fernando Pardo-Manuel de Villena; Wei Wang; Leonard McMillan; David W Threadgill
Journal:  Mamm Genome       Date:  2007-08-03       Impact factor: 2.957

Review 10.  MuTrack: a genome analysis system for large-scale mutagenesis in the mouse.

Authors:  Erich J Baker; Leslie Galloway; Barbara Jackson; Denise Schmoyer; Jay Snoddy
Journal:  BMC Bioinformatics       Date:  2004-02-03       Impact factor: 3.169

  10 in total
  155 in total

1.  Genetic dissection of dietary restriction in mice supports the metabolic efficiency model of life extension.

Authors:  Brad A Rikke; Chen-Yu Liao; Matthew B McQueen; James F Nelson; Thomas E Johnson
Journal:  Exp Gerontol       Date:  2010-05-07       Impact factor: 4.032

2.  Ten years of the Collaborative Cross.

Authors:  David W Threadgill; Gary A Churchill
Journal:  Genetics       Date:  2012-02       Impact factor: 4.562

3.  Advances in biotechnology and linking outputs to variation in complex traits: Plant and Animal Genome meeting January 2012.

Authors:  R Appels; R Barrero; M Bellgard
Journal:  Funct Integr Genomics       Date:  2012-02-22       Impact factor: 3.410

Review 4.  Systems genetics, bioinformatics and eQTL mapping.

Authors:  Hong Li; Hongwen Deng
Journal:  Genetica       Date:  2010-09-03       Impact factor: 1.082

5.  Getting biological about the genetics of diabetes.

Authors:  Christopher B Newgard; Alan D Attie
Journal:  Nat Med       Date:  2010-04       Impact factor: 53.440

6.  Individuality in gut microbiota composition is a complex polygenic trait shaped by multiple environmental and host genetic factors.

Authors:  Andrew K Benson; Scott A Kelly; Ryan Legge; Fangrui Ma; Soo Jen Low; Jaehyoung Kim; Min Zhang; Phaik Lyn Oh; Derrick Nehrenberg; Kunjie Hua; Stephen D Kachman; Etsuko N Moriyama; Jens Walter; Daniel A Peterson; Daniel Pomp
Journal:  Proc Natl Acad Sci U S A       Date:  2010-10-11       Impact factor: 11.205

7.  Functional coding variation in recombinant inbred mouse lines reveals multiple serotonin transporter-associated phenotypes.

Authors:  Ana M D Carneiro; David C Airey; Brent Thompson; Chong-Bin Zhu; Lu Lu; Elissa J Chesler; Keith M Erikson; Randy D Blakely
Journal:  Proc Natl Acad Sci U S A       Date:  2009-01-28       Impact factor: 11.205

8.  Brain tumor susceptibility: the role of genetic factors and uses of mouse models to unravel risk.

Authors:  Karlyne M Reilly
Journal:  Brain Pathol       Date:  2009-01       Impact factor: 6.508

Review 9.  Natural genetic variability of the neuronal nicotinic acetylcholine receptor subunit genes in mice: Consequences and confounds.

Authors:  Jennifer A Wilking; Jerry A Stitzel
Journal:  Neuropharmacology       Date:  2014-12-09       Impact factor: 5.250

Review 10.  Systems biology and functional genomics approaches for the identification of cellular responses to drug toxicity.

Authors:  Alison Hege Harrill; Ivan Rusyn
Journal:  Expert Opin Drug Metab Toxicol       Date:  2008-11       Impact factor: 4.481

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.