Literature DB >> 19444508

RandoMate: a program for the generation of random mating schemes for small laboratory animals.

Armin O Schmitt1, Ralf Bortfeldt, Christina Neuschl, Gudrun A Brockmann.   

Abstract

Advanced intercross lines (AIL) have proven to be a powerful tool in genetic research to map complex genetic traits. The advantage of AIL is the high enrichment of visible recombination events to fine map the position of the target gene. Therefore, AIL are generated under the avoidance of inbreeding. We developed an online software tool, RandoMate, that generates random mating schemes such that only animals from different families are paired. When animals have to be selected randomly for mating, RandoMate optimizes the mating scheme such that all families contribute equally to the next generation. RandoMate uses a divide-and-conquer algorithm to define a mating scheme without brother-sister matings for all animals of a generation. If not all animals can be considered for the next generation, the mating scheme maximizes the randomness of the occurrences of animals from their families to make the family contributions as equal as possible. RandoMate is freely available at http://www2.hu-berlin.de/RandoMate .

Mesh:

Year:  2009        PMID: 19444508     DOI: 10.1007/s00335-009-9185-6

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


  9 in total

1.  Fine mapping of a major locus on chromosome 10 for exploratory and fear-like behavior in mice.

Authors:  Shumin Zhang; Yigong Lou; Tara M Amstein; Monica Anyango; Neeman Mohibullah; Alfred Osoti; Devin Stancliffe; Robert King; Fuad Iraqi; Howard K Gershenfeld
Journal:  Mamm Genome       Date:  2005-05       Impact factor: 2.957

2.  A new standard genetic map for the laboratory mouse.

Authors:  Allison Cox; Cheryl L Ackert-Bicknell; Beth L Dumont; Yueming Ding; Jordana Tzenova Bell; Gudrun A Brockmann; Jon E Wergedal; Carol Bult; Beverly Paigen; Jonathan Flint; Shirng-Wern Tsaih; Gary A Churchill; Karl W Broman
Journal:  Genetics       Date:  2009-06-17       Impact factor: 4.562

3.  Breeding designs for recombinant inbred advanced intercross lines.

Authors:  Matthew V Rockman; Leonid Kruglyak
Journal:  Genetics       Date:  2008-05-27       Impact factor: 4.562

Review 4.  [On the planning of experiments: randomization].

Authors:  D Winne
Journal:  Arzneimittelforschung       Date:  1968-02

5.  Advanced intercross lines, an experimental population for fine genetic mapping.

Authors:  A Darvasi; M Soller
Journal:  Genetics       Date:  1995-11       Impact factor: 4.562

Review 6.  Patterns and mechanisms of genome organization in the mouse.

Authors:  Joel H Graber; Gary A Churchill; Keith J Dipetrillo; Benjamin L King; Petko M Petkov; Ken Paigen
Journal:  J Exp Zool A Comp Exp Biol       Date:  2006-09-01

7.  Confirmation and dissection of QTL controlling resistance to malaria in mice.

Authors:  Maria Hernandez-Valladares; Jan Naessens; John P Gibson; Anthony J Musoke; Sonal Nagda; Pascal Rihet; Onesmo K Ole-MoiYoi; Fuad A Iraqi
Journal:  Mamm Genome       Date:  2004-05       Impact factor: 2.957

8.  Evidence of a large-scale functional organization of mammalian chromosomes.

Authors:  Petko M Petkov; Joel H Graber; Gary A Churchill; Keith DiPetrillo; Benjamin L King; Kenneth Paigen
Journal:  PLoS Genet       Date:  2005-09       Impact factor: 5.917

9.  The recombinational anatomy of a mouse chromosome.

Authors:  Kenneth Paigen; Jin P Szatkiewicz; Kathryn Sawyer; Nicole Leahy; Emil D Parvanov; Siemon H S Ng; Joel H Graber; Karl W Broman; Petko M Petkov
Journal:  PLoS Genet       Date:  2008-07-11       Impact factor: 5.917

  9 in total
  7 in total

1.  Genetic determinants for intramuscular fat content and water-holding capacity in mice selected for high muscle mass.

Authors:  Stefan Kärst; Riyan Cheng; Armin O Schmitt; Hyuna Yang; Fernando Pardo Manuel de Villena; Abraham A Palmer; Gudrun A Brockmann
Journal:  Mamm Genome       Date:  2011-07-06       Impact factor: 2.957

2.  Fine mapping a major obesity locus (jObes1) using a Berlin Fat Mouse × B6N advanced intercross population.

Authors:  D Arends; S Heise; S Kärst; J Trost; G A Brockmann
Journal:  Int J Obes (Lond)       Date:  2016-08-19       Impact factor: 5.095

3.  QTL-mapping in the obese Berlin Fat Mouse identifies additional candidate genes for obesity and fatty liver disease.

Authors:  Manuel Delpero; Danny Arends; Aimée Freiberg; Gudrun A Brockmann; Deike Hesse
Journal:  Sci Rep       Date:  2022-06-21       Impact factor: 4.996

4.  Transmission distortion and genetic incompatibilities between alleles in a multigenerational mouse advanced intercross line.

Authors:  Danny Arends; Stefan Kärst; Sebastian Heise; Paula Korkuc; Deike Hesse; Gudrun A Brockmann
Journal:  Genetics       Date:  2022-01-04       Impact factor: 4.402

5.  Identification of four novel QTL linked to the metabolic syndrome in the Berlin Fat Mouse.

Authors:  Manuel Delpero; Danny Arends; Maximilian Sprechert; Florian Krause; Oliver Kluth; Annette Schürmann; Gudrun A Brockmann; Deike Hesse
Journal:  Int J Obes (Lond)       Date:  2021-10-23       Impact factor: 5.095

6.  Effect of the myostatin locus on muscle mass and intramuscular fat content in a cross between mouse lines selected for hypermuscularity.

Authors:  Stefan Kärst; Eva M Strucken; Armin O Schmitt; Alexandra Weyrich; Fernando P M de Villena; Hyuna Yang; Gudrun A Brockmann
Journal:  BMC Genomics       Date:  2013-01-16       Impact factor: 3.969

7.  Genomic imprinting and genetic effects on muscle traits in mice.

Authors:  Stefan Kärst; Ali R Vahdati; Gudrun A Brockmann; Reinmar Hager
Journal:  BMC Genomics       Date:  2012-08-20       Impact factor: 3.969

  7 in total

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