Literature DB >> 23577470

Refinement and reduction through the control of variation.

Michael F W Festing1.   

Abstract

The key to doing animal experiments efficiently, while using the minimum number of animals without loss of scientific information, lies in good control of random variation, and recognition and control of "fixed effect" variation, such as the sex or strain of the animals. However, many scientists erroneously assume that the use of outbred, genetically heterogeneous animals is justified, because in some way, they more closely model humans. Unfortunately, all this does is to increase the phenotypic variation, which results in less-powerful experiments. If the aim is to model variation in human responses, this can be done by using a small number of animals from several isogenic strains, without increasing the total number of animals. Reducing inter-individual variation, whether caused by genetic or non-genetic causes, will nearly always result in improved experiments. Fixed-effect variation, such as the sex of the animals, can be taken into account, either by restricting the conclusions to the sex actually used, or by assuming that the other sex would respond in the same way, or by including both sexes in the study, by using a factorial design, without increasing the total number of animals.

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Year:  2004        PMID: 23577470     DOI: 10.1177/026119290403201s43

Source DB:  PubMed          Journal:  Altern Lab Anim        ISSN: 0261-1929            Impact factor:   1.303


  7 in total

1.  Environmental standardization: cure or cause of poor reproducibility in animal experiments?

Authors:  S Helene Richter; Joseph P Garner; Hanno Würbel
Journal:  Nat Methods       Date:  2009-04       Impact factor: 28.547

2.  Reproducibility of animal research in light of biological variation.

Authors:  Bernhard Voelkl; Naomi S Altman; Anders Forsman; Wolfgang Forstmeier; Jessica Gurevitch; Ivana Jaric; Natasha A Karp; Martien J Kas; Holger Schielzeth; Tom Van de Casteele; Hanno Würbel
Journal:  Nat Rev Neurosci       Date:  2020-06-02       Impact factor: 34.870

Review 3.  Imaging in experimental models of diabetes.

Authors:  Andrea Coppola; Giada Zorzetto; Filippo Piacentino; Valeria Bettoni; Ida Pastore; Paolo Marra; Laura Perani; Antonio Esposito; Francesco De Cobelli; Giulio Carcano; Federico Fontana; Paolo Fiorina; Massimo Venturini
Journal:  Acta Diabetol       Date:  2021-11-15       Impact factor: 4.280

4.  Effect of population heterogenization on the reproducibility of mouse behavior: a multi-laboratory study.

Authors:  S Helene Richter; Joseph P Garner; Benjamin Zipser; Lars Lewejohann; Norbert Sachser; Chadi Touma; Britta Schindler; Sabine Chourbaji; Christiane Brandwein; Peter Gass; Niek van Stipdonk; Johanneke van der Harst; Berry Spruijt; Vootele Võikar; David P Wolfer; Hanno Würbel
Journal:  PLoS One       Date:  2011-01-31       Impact factor: 3.240

Review 5.  The Snark was a Boojum - reloaded.

Authors:  Simone Macrì; S Helene Richter
Journal:  Front Zool       Date:  2015-08-24       Impact factor: 3.172

Review 6.  Reproducibility and replicability of rodent phenotyping in preclinical studies.

Authors:  Neri Kafkafi; Joseph Agassi; Elissa J Chesler; John C Crabbe; Wim E Crusio; David Eilam; Robert Gerlai; Ilan Golani; Alex Gomez-Marin; Ruth Heller; Fuad Iraqi; Iman Jaljuli; Natasha A Karp; Hugh Morgan; George Nicholson; Donald W Pfaff; S Helene Richter; Philip B Stark; Oliver Stiedl; Victoria Stodden; Lisa M Tarantino; Valter Tucci; William Valdar; Robert W Williams; Hanno Würbel; Yoav Benjamini
Journal:  Neurosci Biobehav Rev       Date:  2018-01-31       Impact factor: 9.052

7.  Improving reproducibility in animal research by splitting the study population into several 'mini-experiments'.

Authors:  Vanessa Tabea von Kortzfleisch; Natasha A Karp; Rupert Palme; Sylvia Kaiser; Norbert Sachser; S Helene Richter
Journal:  Sci Rep       Date:  2020-10-06       Impact factor: 4.379

  7 in total

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