Literature DB >> 12856287

Marker-assisted congenic screening (MACS): a database tool for the efficient production and characterization of congenic lines.

Stephan C Collins1, Robert H Wallis, Karin Wallace, Marie Thérèse Bihoreau, Dominique Gauguier.   

Abstract

Over the past decades, genetic studies in rodent models of human multifactorial disorders have led to the detection of numerous chromosomal regions associated with disease phenotypes. Owing to the complex control of these phenotypes and the size of the disease loci, identifying the underlying genes requires further analyses in new original models, including chromosome substitution (consomic) and congenic lines, derived to evaluate the phenotypic effects of disease susceptibility loci and fine-map the disease genes. We have developed a relational database (MACS) specifically designed for the genetic marker-assisted production of large series of rodent consomic and congenic lines ("speed congenics"), the organization of their genetic and phenotypic characterizations, and the acquisition and archiving of both genetic and phenotypic data. This database, originally optimized for the production of rat congenics, can also be applied to mouse mapping projects. MACS represents an essential system for significantly improving efficiency and accuracy in investigations of multiple consomic and congenic lines simultaneously derived for different disease loci, and ultimately cloning genes underlying complex phenotypes.

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Year:  2003        PMID: 12856287     DOI: 10.1007/s00335-002-3058-6

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


  14 in total

1.  A genomic-systems biology map for cardiovascular function.

Authors:  M Stoll; A W Cowley; P J Tonellato; A S Greene; M L Kaldunski; R J Roman; P Dumas; N J Schork; Z Wang; H J Jacob
Journal:  Science       Date:  2001-11-23       Impact factor: 47.728

Review 2.  Finding the molecular basis of quantitative traits: successes and pitfalls.

Authors:  J Flint; R Mott
Journal:  Nat Rev Genet       Date:  2001-06       Impact factor: 53.242

3.  A radiation hybrid map of the rat genome containing 5,255 markers.

Authors:  T K Watanabe; M T Bihoreau; L C McCarthy; S L Kiguwa; H Hishigaki; A Tsuji; J Browne; Y Yamasaki; A Mizoguchi-Miyakita; K Oga; T Ono; S Okuno; N Kanemoto; E Takahashi; K Tomita; H Hayashi; M Adachi; C Webber; M Davis; S Kiel; C Knights; A Smith; R Critcher; J Miller; T Thangarajah; P J Day; J R Hudson; Y Irie; T Takagi; Y Nakamura; P N Goodfellow; G M Lathrop; A Tanigami; M R James
Journal:  Nat Genet       Date:  1999-05       Impact factor: 38.330

Review 4.  Analysing complex genetic traits with chromosome substitution strains.

Authors:  J H Nadeau; J B Singer; A Matin; E S Lander
Journal:  Nat Genet       Date:  2000-03       Impact factor: 38.330

5.  Theoretical and empirical issues for marker-assisted breeding of congenic mouse strains.

Authors:  P Markel; P Shu; C Ebeling; G A Carlson; D L Nagle; J S Smutko; K J Moore
Journal:  Nat Genet       Date:  1997-11       Impact factor: 38.330

6.  Applicability of a "speed" congenic strategy to dissect blood pressure quantitative trait loci on rat chromosome 2.

Authors:  B Jeffs; C D Negrin; D Graham; J S Clark; N H Anderson; D Gauguier; A F Dominiczak
Journal:  Hypertension       Date:  2000-01       Impact factor: 10.190

7.  A high-resolution consensus linkage map of the rat, integrating radiation hybrid and genetic maps.

Authors:  M T Bihoreau; L Sebag-Montefiore; R F Godfrey; R H Wallis; J H Brown; P A Danoy; S C Collins; M Rouard; P J Kaisaki; M Lathrop; D Gauguier
Journal:  Genomics       Date:  2001-07       Impact factor: 5.736

8.  Database of mutations that alter the large tumor antigen in simian virus 40.

Authors:  T D Kierstead; J M Pipas
Journal:  Nucleic Acids Res       Date:  1996-01-01       Impact factor: 16.971

9.  InfoTrac TFD: a microcomputer implementation of the Transcription Factor Database TFD with a graphical user interface.

Authors:  W G Hoeck
Journal:  Comput Appl Biosci       Date:  1994-06

10.  Update of the androgen receptor gene mutations database.

Authors:  B Gottlieb; L K Beitel; R Lumbroso; L Pinsky; M Trifiro
Journal:  Hum Mutat       Date:  1999       Impact factor: 4.878

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  10 in total

Review 1.  Selection in backcross programmes.

Authors:  Frédéric Hospital
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  2005-07-29       Impact factor: 6.237

Review 2.  Challenges in pre-clinical testing of anti-cancer drugs in cell culture and in animal models.

Authors:  Harm HogenEsch; Alexander Yu Nikitin
Journal:  J Control Release       Date:  2012-03-14       Impact factor: 9.776

3.  Mapping diabetes QTL in an intercross derived from a congenic strain of the Brown Norway and Goto-Kakizaki rats.

Authors:  Stephan C Collins; Robert H Wallis; Steven P Wilder; Karin J Wallace; Karène Argoud; Pamela J Kaisaki; Marie-Thérèse Bihoreau; Dominique Gauguier
Journal:  Mamm Genome       Date:  2006-06-12       Impact factor: 2.957

Review 4.  Mind the gap: analysis of marker-assisted breeding strategies for inbred mouse strains.

Authors:  Nicola J Armstrong; Thomas C Brodnicki; Terence P Speed
Journal:  Mamm Genome       Date:  2006-04-04       Impact factor: 2.957

5.  Genetic background determines metabolic phenotypes in the mouse.

Authors:  Marie-France Champy; Mohammed Selloum; Valérie Zeitler; Claudia Caradec; Barbara Jung; Stéphane Rousseau; Laurent Pouilly; Tania Sorg; Johan Auwerx
Journal:  Mamm Genome       Date:  2008-04-05       Impact factor: 2.957

6.  Enhanced insulin secretion and cholesterol metabolism in congenic strains of the spontaneously diabetic (Type 2) Goto Kakizaki rat are controlled by independent genetic loci in rat chromosome 8.

Authors:  R H Wallis; K J Wallace; S C Collins; M McAteer; K Argoud; M T Bihoreau; P J Kaisaki; D Gauguier
Journal:  Diabetologia       Date:  2004-05-26       Impact factor: 10.122

7.  Validation of simple sequence length polymorphism regions of commonly used mouse strains for marker assisted speed congenics screening.

Authors:  Channabasavaiah B Gurumurthy; Poonam S Joshi; Scott G Kurz; Masato Ohtsuka; Rolen M Quadros; Donald W Harms; K C Kent Lloyd
Journal:  Int J Genomics       Date:  2015-02-28       Impact factor: 2.326

8.  Topological analysis of metabolic networks integrating co-segregating transcriptomes and metabolomes in type 2 diabetic rat congenic series.

Authors:  Marc-Emmanuel Dumas; Céline Domange; Sophie Calderari; Andrea Rodríguez Martínez; Rafael Ayala; Steven P Wilder; Nicolas Suárez-Zamorano; Stephan C Collins; Robert H Wallis; Quan Gu; Yulan Wang; Christophe Hue; Georg W Otto; Karène Argoud; Vincent Navratil; Steve C Mitchell; John C Lindon; Elaine Holmes; Jean-Baptiste Cazier; Jeremy K Nicholson; Dominique Gauguier
Journal:  Genome Med       Date:  2016-09-30       Impact factor: 11.117

9.  Pathophysiological, genetic and gene expression features of a novel rodent model of the cardio-metabolic syndrome.

Authors:  Robert H Wallis; Stephan C Collins; Pamela J Kaisaki; Karène Argoud; Steven P Wilder; Karin J Wallace; Massimiliano Ria; Alain Ktorza; Patrik Rorsman; Marie-Thérèse Bihoreau; Dominique Gauguier
Journal:  PLoS One       Date:  2008-08-13       Impact factor: 3.240

10.  Genetic control of differential acetylation in diabetic rats.

Authors:  Pamela J Kaisaki; Georg W Otto; Joanna F McGouran; Amine Toubal; Karène Argoud; Helen Waller-Evans; Clare Finlay; Sophie Caldérari; Marie-Thérèse Bihoreau; Benedikt M Kessler; Dominique Gauguier; Richard Mott
Journal:  PLoS One       Date:  2014-04-17       Impact factor: 3.240

  10 in total

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