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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
Self-citation
Research works printed but not linked: 1
- Beer, 1980, Perspectives on animal behavior comparisons, Comp. Meth. Psychol., 2, 17
Cited by
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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].”
BackgroundSelf-citationReporting animal research: Explanation and Elaboration for the ARRIVE guidelines 2019Preprint
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Jiménez, J. A., & Zylka, M. J. (2021) · Journal of Neurodevelopmental Disorders · doi:10.1186/s11689-020-09353-y · Cited by 112
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Self-citationUnderstanding neurobehavioral effects of acute and chronic stress in zebrafish
Demin, K. A., Taranov, A. S., Ilyin, N. P., Lakstygal, A. M., Volgin, A. D., de Abreu, M. S., Strekalova, T. V., & Kalueff, A. V. (2020) · Stress · doi:10.1080/10253890.2020.1724948 · Cited by 103
Bogue, M. A., Philip, V. M., Walton, D. O., Grubb, S. C., Dunn, M. H., Kolishovski, G., Emerson, J., Mukherjee, G., Stearns, T. M., He, H., et al. (2019) · Nucleic Acids Research · doi:10.1093/nar/gkz1032 · Cited by 80
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von Mücke-Heim, I.-A., Urbina-Treviño, L., Bordes, J., Ries, C., Schmidt, M. V., & Deussing, J. M. (2022) · Molecular Psychiatry · doi:10.1038/s41380-022-01762-w · Cited by 53
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Beraldo, F., Palmer, D., Memar, S., Wasserman, D., Lee, W.-J. V., Liang, S., Creighton, S., Kolisnyk, B., Cowan, M. F., Mels, J., et al. (2019) · eLife · doi:10.7554/elife.49630 · Cited by 52
Yang, Y., Macleod, M. R., Pan, J., Lagisz, M., & Nakagawa, S. (2022) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2022.105016 · Cited by 53
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Åhlgren, J., & Võikar, V. (2019) · Genes Brain & Behavior · doi:10.1111/gbb.12564 · Cited by 35
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Võikar, V., & Stanford, S. C. (2022) · Neuromethods · doi:10.1007/978-1-0716-2748-8_2 · Cited by 38
Witjes, V. M., Boleij, A., & Halffman, W. (2020) · Animals · doi:10.3390/ani10122415 · Cited by 33
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Nygaard, K. R., Maloney, S. E., & Dougherty, J. D. (2019) · Autism Research · doi:10.1002/aur.2154 · Cited by 31
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van der Goot, M. H., van der Kooij, M., Stolte, S., Baars, A. M., Arndt, S. S., & van Lith, H. A. (2021) · PLoS ONE · doi:10.1371/journal.pone.0255521 · Cited by 22
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Einat, H., Ezer, I., Kara, N. Z., & Belzung, C. (2018) · Acta Neuropsychiatrica · doi:10.1017/neu.2018.14 · Cited by 22
Roy, S., Parveen, M., Bala, A., & Sur, D. (2025) · ACS Pharmacology & Translational Science · doi:10.1021/acsptsci.4c00661 · Cited by 22
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Mahabir, S., Chatterjee, D., & Gerlai, R. T. (2018) · Neurotoxicology and Teratology · doi:10.1016/j.ntt.2018.05.005 · Cited by 20
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Langer, E., Einat, H., & Stukalin, Y. (2020) · European Neuropsychopharmacology · doi:10.1016/j.euroneuro.2020.04.007 · Cited by 16
Fong, T. L., Hu, H., Gupta, P. K., Jury, B., & Murphy, T. H. (2023) · eNeuro · doi:10.1523/eneuro.0127-22.2023 · Cited by 16
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Zhang, G., Deighan, A. G., Raj, A., Robinson, L. L., Donato, H., Garland, G., Leland, M., Martin-McNulty, B., Kolumam, G. A., Riegler, J., et al. (2021) · Genetics · doi:10.1093/genetics/iyab157 · Cited by 13
Costa, C. J. S., Wadt, D., Conti, L. C., Landi, M. F. D. A., Cintra, L., Oliveira, F. A., & Mori, C. M. C. (2023) · Journal of the American Association for Laboratory Animal Science · doi:10.30802/aalas-jaalas-23-000007 · Cited by 14
Nejat, M. A., Stiedl, O., Smit, A. B., & van Kesteren, R. E. (2024) · Frontiers in Behavioral Neuroscience · doi:10.3389/fnbeh.2024.1457894 · Cited by 14
Self-citationCross-species Analyses of Intra-species Behavioral Differences in Mammals and Fish
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van den Bos, R., Flik, G., & Gorissen, M. (2020) · Elsevier eBooks · doi:10.1016/b978-0-12-817528-6.00015-2 · Cited by 14
Mitchell, E. J., Brett, R. R., Armstrong, J. D., Sillito, R. R., & Pratt, J. A. (2020) · Journal of Psychopharmacology · doi:10.1177/0269881120920455 · Cited by 14
Lundberg, S., Nylander, I., & Roman, E. (2020) · Frontiers in Behavioral Neuroscience · doi:10.3389/fnbeh.2020.00037 · Cited by 14
Henderson, Y. C., Mohamed, A., Maniakas, A., Chen, Y., Powell, R. T., Peng, S., Cardenas, M., Williams, M. D., Bell, D., Zafereo, M., et al. (2021) · The Journal of Clinical Endocrinology & Metabolism · doi:10.1210/clinem/dgab424 · Cited by 14
Schaer, R., Wenger, N., Herrero, F., Notter, T., & Meyer, U. (2025) · Brain Behavior and Immunity · doi:10.1016/j.bbi.2025.06.040 · Cited by 13
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Schoenrock, S. A., Gagnon, L. H., Olson, A., Leonardo, M. R., Philip, V. M., He, H., Reinholdt, L. G., Rizzo, S. J. S., Jentsch, D., Chesler, E. J., et al. (2022) · Frontiers in Behavioral Neuroscience · doi:10.3389/fnbeh.2022.886524 · Cited by 13
Self-citationTol, A. J. C., Hribar, K., Kruit, J. K., Bongiovanni, L., Vieira‐Lara, M. A., Koster, M. H., Kloosterhuis, N., Havinga, R., Koehorst, M., de Bruin, A., et al. (2023) · The Journal of Physiology · doi:10.1113/jp284061 · Cited by 13
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Tsang, B., Ansari, R., & Gerlai, R. T. (2020) · Elsevier eBooks · doi:10.1016/b978-0-12-817528-6.00002-4 · Cited by 13
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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.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
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