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Reproducibility and replicability of rodent phenotyping in preclinical studies
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Abstract
The scientific community is increasingly concerned with the proportion of published "discoveries" that are not replicated in subsequent studies. The field of rodent behavioral phenotyping was one of the first to raise this concern, and to relate it to other methodological issues: the complex interaction between genotype and environment; the definitions of behavioral constructs; and the use of laboratory mice and rats as model species for investigating human health and disease mechanisms. In January 2015, researchers from various disciplines gathered at Tel Aviv University to discuss these issues. The general consensus was that the issue is prevalent and of concern, and should be addressed at the statistical, methodological and policy levels, but is not so severe as to call into question the validity and the usefulness of model organisms as a whole. Well-organized community efforts, coupled with improved data and metadata sharing, have a key role in identifying specific problems and promoting effective solutions. Replicability is closely related to validity, may affect generalizability and translation of findings, and has important ethical implications.
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“Animals, experimental units, or data points that are unaccounted for can lead to instances in which conclusions cannot be supported by the raw data [52].”
From Reporting animal research: Explanation and elaboration for the ARRIVE guidelines 2.0 (2020) · cites this paper as [52]
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1 retracted
RETRACTED: A Genomic Strategy to Refine Prognosis in Early-Stage Non–Small-Cell Lung Cancer
Potti, A., Mukherjee, S., Petersen, R. P., Dressman, H. K., Bild, A., Koontz, J. I., Kratzke, R. A., Watson, M. A., Kelley, M. J., Ginsburg, G. S., et al. (2006) · New England Journal of Medicine · doi:10.1056/nejmoa060467 · Cited by 576
RetractedControlling the False Discovery Rate: A Practical and Powerful Approach to Multiple Testing
Benjamini, Y., & Hochberg, Y. (1995) · Journal of the Royal Statistical Society Series B: Statistical Methodology · doi:10.1111/j.2517-6161.1995.tb02031.x · Cited by 109,482
Self-citationWhy Most Published Research Findings Are False
Ioannidis, J. P. A. (2005) · PLoS Medicine · doi:10.1371/journal.pmed.0020124 · Cited by 10,505
Estimating the reproducibility of psychological science
Open Science Collaboration (2015) · Science · doi:10.1126/science.aac4716 · Cited by 8,515
Simmons, J. P., Nelson, L. D., & Simonsohn, U. (2011) · Psychological Science · doi:10.1177/0956797611417632 · Cited by 6,567
The ASA Statement on p -Values: Context, Process, and Purpose
Wasserstein, R. L., & Lazar, N. A. (2016) · The American Statistician · doi:10.1080/00031305.2016.1154108 · Cited by 6,306 · cited 1×
“This has been followed by a statement issued by the Board of the Statistical Association, warning against misuse and misinterpretation of the p-value (Wasserstein and Lazar, 2016) and offering (indirectly) the confidence interval as possible replacement.”
Genetic dissection of complex traits: guidelines for interpreting and reporting linkage results
Lander, E. S., & Kruglyak, L. (1995) · Nature Genetics · doi:10.1038/ng1195-241 · Cited by 5,236
Fisher, R. A. (1936) · BMJ · doi:10.1136/bmj.1.3923.554-a · Cited by 4,980
Why Most Published Research Findings Are False
Ioannidis, J. P. A. (2005) · CHANCE · doi:10.1080/09332480.2005.10722754 · Cited by 4,702 · cited 4×
“Crabbe et al. (1999) conducted the famous experiment that brought up the replicability issue in the field of mouse phenotyping, and preceded the current “credibility crisis” in general science (Ioannidis, 2005).”
InfluentialControlling the false discovery rate in behavior genetics research
Benjamini, Y., Drai, D., Elmer, G., Kafkafi, N., & Golani, I. (2001) · Behavioural Brain Research · doi:10.1016/s0166-4328(01)00297-2 · Cited by 4,146
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Flagged first, then by citations
Research works printed but not linked: 1
- Beer, 1980, Perspectives on animal behavior comparisons, Comp. Meth. Psychol., 2, 17
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van der Goot, M. H., Keijsper, M., Baars, A. M., Drost, L., Hendriks, J., Kirchhoff, S., Klooster, J. G. L. T., van Lith, H. A., & Arndt, S. S. (2021) · Physiology & Behavior · doi:10.1016/j.physbeh.2021.113503 · Cited by 10
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Voehringer, P., & Nicholson, J. R. (2019) · Handbook of experimental pharmacology · doi:10.1007/164_2019_285 · Cited by 10
Lau, P., Wollbrink, A., Wunderlich, R., Engell, A., Alwina, L., Junghöfer, M., & Pantev, C. (2018) · Frontiers in Psychology · doi:10.3389/fpsyg.2018.00235 · Cited by 9
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Ahuis, T. P., Smyk, M. K., Laloux, C., Aulehner, K., Bray, J. G., Waldron, A., Miljanovic, N., Seiffert, I., Song, D., Boulanger, B., et al. (2024) · PLoS ONE · doi:10.1371/journal.pone.0309521 · Cited by 10
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Tian, Y., Su, G., Liu, J.-F., Liu, X.-Y., Zhou, J., Chen, D.-Y., & Zhang, Z. (2020) · Neuroreport · doi:10.1097/wnr.0000000000001529 · Cited by 7
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V-TRACE: End-to-end temporal inference and annotation of animal behaviors from videoPreprint
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Mahabir, S. (2018) · TSpace (University of Toronto)
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Suo, W. Z., Peng, D. W., Singh, P., & Ding, X. (2019) · Neuroscience · doi:10.1016/j.neuroscience.2019.10.030
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Liontis, T. (2020) · eScholarship@McGill (McGill) · doi:10.82308/42346
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Replication crisisPreprint
Quang-Loc, N. (2022) · doi:10.31219/osf.io/4wd5x
Muellerleile, J. (2022) · Publication Server of Goethe University Frankfurt am Main (Goethe University Frankfurt) · doi:10.21248/gups.68693
von Rüden, E., Janssen‐Peters, H., Reiber, M., van Dijk, R. M., Xiao, K., Seiffert, I., Koska, I., Hubl, C., Thum, T., & Potschka, H. (2023) · Scientific Reports · doi:10.1038/s41598-023-31017-9
How naïve is your naïve subject? The behavior of rodents under a social lensPreprint
de la Fuente, V. (2023) · PsyArXiv (OSF Preprints) · doi:10.31234/osf.io/3mjnt
The Clinical Control Trial in Psychiatry: What It Is, What It Has Been, and Does It Have a Future?
Belmaker, R. H., & Lichtenberg, P. (2023) · Springer eBooks · doi:10.1007/978-3-031-40371-2_4
Kalueff, A. V., & de Abreu, M. S. (2024) · Chemosphere · doi:10.1016/j.chemosphere.2024.143296
Marcolan, J. A., & Marino–Neto, J. (2024) · Medical & Biological Engineering & Computing · doi:10.1007/s11517-024-03212-x
Barbering in Laboratory Rodents: Problems and Prospects
Kotova, M. M., Riga, V. D., & Kalueff, A. V. (2024) · Российский физиологический журнал им И М Сеченова · doi:10.31857/s0869813924060011
Brachial Plexus Anatomy of Sprague Dawley Rat Compared to Human
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Meinhardt, M. W., Habelt, B., Skorodumov, I., Schwarz, C., Bernhardt, N. R., Winter, C., Hardar, R., Müller, C. P., Israel, Y., Ezquer, F. E., et al. (2025) · Addiction Neuroscience · doi:10.1016/j.addicn.2025.100234
Metadata
- Authors
- Kafkafi, N., Agassi, J., Chesler, E. J., Crabbe, J. C., Crusio, W. E., Eilam, D., Gerlai, R., Golani, I., Gomez-Marin, A., Heller, R., Iraqi, F., Jaljuli, I., Karp, N. A., Morgan, H., Nicholson, G., Pfaff, D. W., Richter, S. H., Stark, P. B., Stiedl, O., Stodden, V., Tarantino, L. M., Tucci, V., Valdar, W., Williams, R. W., Würbel, H., & Benjamini, Y.
- Affiliations
- Tel Aviv University (IL)
- Jackson Laboratory (US)
- Oregon Health & Science University (US)
- Centre National de la Recherche Scientifique (FR)
- University of Toronto (CA)
- AstraZeneca (United Kingdom) (GB)
- University of Oxford (GB)
- Rockefeller University (US)
- University of Münster (DE)
- University of California, Berkeley (US)
- Vrije Universiteit Amsterdam (NL)
- University of Illinois Urbana-Champaign (US)
- University of North Carolina at Chapel Hill (US)
- Italian Institute of Technology (IT)
- University of Tennessee Health Science Center (US)
- University of Bern (CH)
- Corresponding author
- Kafkafi, Neri
- ORCID
- Agassi, Joseph
- Chesler, Elissa J.
- Crabbe, John C.
- Crusio, Wim E.
- Eilam, David
- Gerlai, Robert
- Golani, Ilan
- Heller, Ruth
- Iraqi, Fuad
- Jaljuli, Iman
- Karp, Natasha A.
- Nicholson, George
- Pfaff, Donald W.
- Richter, S. Helene
- Stark, Philip B.
- Stiedl, Oliver
- Stodden, Victoria
- Tarantino, Lisa M.
- Tucci, Valter
- Valdar, William
- Williams, Robert W.
- Würbel, Hanno
- Benjamini, Yoav
- Venue
- Neuroscience & Biobehavioral Reviews
- Publisher
- Elsevier BV
- Published
- 2018-04
- Volume
- 87
- Pages
- 218-232
- ISSN
- 0149-7634 (ISSN-L)
- PMC
- PMC6071910
- OpenAlex
- W2952728789
- Cited by
- 215
- References
- 194
- Citations by year
- 2026: 20 · 2025: 23 · 2024: 26 · 2023: 25 · 2022: 26 · 2021: 25 · 2020: 37 · 2019: 21 · 2018: 9
- FWCI
- 4.86
- Type
- journal article
- Language
- en
- Open access
- hybrid
- doi.org
- Licence
- Locations
- Neuroscience & Biobehavioral Reviews (publishedVersion, cc-by-nc-nd)
- PubMed (publishedVersion)
- VU Research Portal (publishedVersion, other-oa)
- Europe PMC (PubMed Central) (acceptedVersion, other-oa)
- PubMed Central (acceptedVersion, cc-by-nc-nd)
- HAL (submittedVersion)
- DIGITAL.CSIC (Spanish National Research Council (CSIC)) (submittedVersion, cc-by-nc-nd)
- eScholarship (California Digital Library) (submittedVersion, cc-by-nc-nd)
- The Mouseion at the JAXlibrary (Jackson Laboratory) (submittedVersion)
- Data Archiving and Networked Services (DANS) (submittedVersion, other-oa)
- Funders
- Spanish Ministry of Economy and Competitivity (Severo Ochoa Center of Excellence programme
- Topics
- Health Sciences › Veterinary › Small Animals › Animal testing and alternatives
- Physical Sciences › Computer Science › Information Systems › Research Data Management Practices
- Social Sciences › Arts and Humanities › History and Philosophy of Science › Philosophy of Biology and Scientific Explanation
- Keywords
- reproducibility, replicability, preclinical research, gene-environment interaction, research ethics, translational research
- MeSH terms
- Animals, Behavior, Animal, Phenotype, Research, Research Design, Rodentia, Reproducibility of Results, Models, Animal, Animal Experimentation, Information Dissemination
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
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