Incorporating inter-individual variability in experimental design improves the quality of results of animal experiments

Marloes H. van der Goot*, Marieke Kooij, Suzanne Stolte, Annemarie Baars, Saskia S. Arndt, Hein A. van Lith

*Corresponding author for this work

Research output: Contribution to journalArticleAcademicpeer-review

Abstract

Inter-individual variability in quantitative traits is believed to potentially inflate the quality of results in animal experimentation. Yet, to our knowledge this effect has not been empirically tested. Here we test whether inter-individual variability in emotional response within mouse inbred strains affects the outcome of a pharmacological experiment. Three mouse inbred strains (BALB/c, C57BL/6 and 129S2) were behaviorally characterized through repeated exposure to a mild aversive stimulus (modified Hole Board, five consecutive trials). A multivariate clustering procedure yielded two multidimensional response types which were displayed by individuals of all three strains. We show that systematic incorporation of these individual response types in the design of a pharmacological experiment produces different results from an experimental pool in which this variation was not accounted for. To our knowledge, this is the first study that empirically confirms that inter-individual variability affects the interpretation of behavioral phenotypes and may obscure experimental results in a pharmacological experiment.
Original languageEnglish
Article numbere0255521
Pages (from-to)1-26
Number of pages26
JournalPLoS One
Volume16
Issue number8
DOIs
Publication statusPublished - 5 Aug 2021

Bibliographical note

Publisher Copyright:
© 2021 van der Goot et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

Keywords

  • Inter-individual variability
  • Experimental design
  • Animal experimentation
  • Quality of results

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