In vivo alkaline comet assay: statistical considerations on historical negative and positive control data

dc.contributor.authorTug, Timur
dc.contributor.authorDuda, Julia C.
dc.contributor.authorMenssen, Max
dc.contributor.authorBruce, Shannon Wilson
dc.contributor.authorBringezu, Frank
dc.contributor.authorDammann, Martina
dc.contributor.authorFrötschl, Roland
dc.contributor.authorHarm, Volker
dc.contributor.authorIckstadt, Katja
dc.contributor.authorIgl, Bernd-Wolfgang
dc.contributor.authorJarzombek, Marco
dc.contributor.authorKellner, Rupert
dc.contributor.authorLott, Jasmin
dc.contributor.authorPfuhler, Stefan
dc.contributor.authorPlappert-Helbig, Ulla
dc.contributor.authorRahnenführer, Jörg
dc.contributor.authorSchulz, Markus
dc.contributor.authorVaas, Lea
dc.contributor.authorVasquez, Marie
dc.contributor.authorZiegler, Verena
dc.contributor.authorZiemann, Christina
dc.date.accessioned2026-07-07T06:39:22Z
dc.date.issued2024-02-22
dc.description.abstractThe alkaline comet assay is frequently used as in vivo follow-up test within different regulatory environments to characterize the DNA-damaging potential of different test items. The corresponding OECD Test guideline 489 highlights the importance of statistical analyses and historical control data (HCD) but does not provide detailed procedures. Therefore, the working group “Statistics” of the German-speaking Society for Environmental Mutation Research (GUM) collected HCD from five laboratories and >200 comet assay studies and performed several statistical analyses. Key results included that (I) observed large inter-laboratory effects argue against the use of absolute quality thresholds, (II) > 50% zero values on a slide are considered problematic, due to their influence on slide or animal summary statistics, (III) the type of summarizing measure for single-cell data (e.g., median, arithmetic and geometric mean) may lead to extreme differences in resulting animal tail intensities and study outcome in the HCD. These summarizing values increase the reliability of analysis results by better meeting statistical model assumptions, but at the cost of information loss. Furthermore, the relation between negative and positive control groups in the data set was always satisfactorily (or sufficiently) based on ratio, difference and quantile analyses.en
dc.identifier.doi10.1016/j.yrtph.2024.105583
dc.identifier.issn0273-2300
dc.identifier.urihttp://hdl.handle.net/2003/44976
dc.language.isoen
dc.publisherElsevier BV
dc.relation.ispartofRegulatory Toxicology and Pharmacology
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/
dc.subjectGenotoxicityen
dc.subjectDNA damageen
dc.subjectRaten
dc.subjectIn vivo mammalian alkaline comet assayen
dc.subjectOECD test guideline 489en
dc.subjectHistorical control dataen
dc.subjectDescriptive statisticsen
dc.subjectSummarizing strategiesen
dc.subjectVariance components analysisen
dc.subject.ddc310
dc.titleIn vivo alkaline comet assay: statistical considerations on historical negative and positive control dataen
dc.typeText
dc.type.publicationtypeResearchArticle
dcterms.accessRightsopen access
eldorado.dnb.deposittrue
eldorado.doi.registerfalse
eldorado.secondarypublicationtrue
eldorado.secondarypublication.primarycitationTimur Tug, Julia C. Duda, Max Menssen, Shannon Wilson Bruce, Frank Bringezu, Martina Dammann, Roland Frötschl, Volker Harm, Katja Ickstadt, Bernd-Wolfgang Igl, Marco Jarzombek, Rupert Kellner, Jasmin Lott, Stefan Pfuhler, Ulla Plappert-Helbig, Jörg Rahnenführer, Markus Schulz, Lea Vaas, Marie Vasquez, Verena Ziegler, Christina Ziemann, In vivo alkaline comet assay: Statistical considerations on historical negative and positive control data, Regulatory Toxicology and Pharmacology, Volume 148, 2024, 105583, https://doi.org/10.1016/j.yrtph.2024.105583
eldorado.secondarypublication.primaryidentifierhttps://doi.org/10.1016/j.yrtph.2024.105583
oaire.citation.volume148

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