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Review
. 2021 Dec;83(12):e23331.
doi: 10.1002/ajp.23331. Epub 2021 Sep 20.

Improving rigor and reproducibility in nonhuman primate research

Affiliations
Review

Improving rigor and reproducibility in nonhuman primate research

Eliza Bliss-Moreau et al. Am J Primatol. 2021 Dec.

Abstract

Nonhuman primates (NHPs) are a critical component of translational/preclinical biomedical research due to the strong similarities between NHP and human physiology and disease pathology. In some cases, NHPs represent the most appropriate, or even the only, animal model for complex metabolic, neurological, and infectious diseases. The increased demand for and limited availability of these valuable research subjects requires that rigor and reproducibility be a prime consideration to ensure the maximal utility of this scarce resource. Here, we discuss a number of approaches that collectively can contribute to enhanced rigor and reproducibility in NHP research.

Keywords: biomedical research; data sharing; nonhuman primates; preregistration; quality assurance.

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Conflict of interest statement

The authors declare that there are no conflicts of interest.

Figures

Figure 1
Figure 1
Stakeholders and their roles in supporting rigor and reproducibility in nonhuman primate research

References

    1. Auton, A. , Abecasis, G. R. , Altshuler, D. M. , Durbin, R. M. , Abecasis, G. R. , Bentley, D. R. , National Eye Institute , & N. I. H. (2015). A global reference for human genetic variation. Nature, 526(7571), 68–74. 10.1038/nature15393 - DOI - PMC - PubMed
    1. Bacchetti, P. , Deeks, S. G. , & McCune, J. M. (2011). Breaking free of sample size dogma to perform innovative translational research. Science Translational Medicine, 3(87), 87ps24. 10.1126/scitranslmed.3001628 - DOI - PMC - PubMed
    1. Bauer, P. , Bretz, F. , Dragalin, V. , Konig, F. , & Wassmer, G. (2016). Twenty‐five years of confirmatory adaptive designs: Opportunities and pitfalls. Statistics in Medicine, 35(3), 325–347. 10.1002/sim.6472 - DOI - PMC - PubMed
    1. Bimber, B. N. , Yan, M. Y. , Peterson, S. M. , & Ferguson, B. (2019). mGAP: The macaque genotype and phenotype resource, a framework for accessing and interpreting macaque variant data, and identifying new models of human disease. BMC Genomics, 20(1), 176. 10.1186/s12864-019-5559-7 - DOI - PMC - PubMed
    1. Bolli, R. (2017). New initiatives to improve the rigor and reproducibility of articles published in. Circulation Research, 121(5), 472–479. 10.1161/CIRCRESAHA.117.311678 - DOI - PubMed

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