Improving basic and translational science by accounting for litter-to-litter variation in animal models
Animals from the same litter are often more alike compared with animals from different litters. This litter-to-litter variation, or "litter effects", can influence the results in addition to the experimental factors of interest. Furthermore, sometimes an experimental treatment can only be...
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Veröffentlicht in: | BMC neuroscience 2013-03, Vol.14 (1), p.37-37, Article 37 |
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Sprache: | eng |
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Zusammenfassung: | Animals from the same litter are often more alike compared with animals from different litters. This litter-to-litter variation, or "litter effects", can influence the results in addition to the experimental factors of interest. Furthermore, sometimes an experimental treatment can only be applied to whole litters rather than to individual offspring. An example is the valproic acid (VPA) model of autism, where VPA is administered to pregnant females thereby inducing the disease phenotype in the offspring. With this type of experiment the sample size is the number of litters and not the total number of offspring. If such experiments are not appropriately designed and analysed, the results can be severely biased as well as extremely underpowered.
A review of the VPA literature showed that only 9% (3/34) of studies correctly determined that the experimental unit (n) was the litter and therefore made valid statistical inferences. In addition, litter effects accounted for up to 61% (p |
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ISSN: | 1471-2202 1471-2202 |
DOI: | 10.1186/1471-2202-14-37 |