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Review
. 2024 Jul 2;15(1):5574.
doi: 10.1038/s41467-024-49439-y.

Improving laboratory animal genetic reporting: LAG-R guidelines

Lydia Teboul  1 , James Amos-Landgraf  2   3   4 , Fernando J Benavides  5 , Marie-Christine Birling  6 , Steve D M Brown  7 , Elizabeth Bryda  8 , Rosie Bunton-Stasyshyn  9 , Hsian-Jean Chin  10 , Martina Crispo  11 , Fabien Delerue  12 , Michael Dobbie  13 , Craig L Franklin  14 , Ernst-Martin Fuchtbauer  15 , Xiang Gao  16 , Christelle Golzio  17 , Rebecca Haffner  18 , Yann Hérault  6   17 , Martin Hrabe de Angelis  19   20   21 , Kevin C Kent Lloyd  22 , Terry R Magnuson  23 , Lluis Montoliu  24   25 , Stephen A Murray  26 , Ki-Hoan Nam  27 , Lauryl M J Nutter  28 , Eric Pailhoux  29 , Fernando Pardo Manuel de Villena  30   31 , Kevin Peterson  26 , Laura Reinholdt  26 , Radislav Sedlacek  32 , Je Kyung Seong  33 , Toshihiko Shiroishi  34 , Cynthia Smith  35 , Toru Takeo  36 , Louise Tinsley  9 , Jean-Luc Vilotte  37 , Søren Warming  38 , Sara Wells  9   39 , C Bruce Whitelaw  40 , Atsushi Yoshiki  41 ; Asian Mouse Mutagenesis Resource Association; CELPHEDIA infrastructure; INFRAFRONTIER consortium; International Mammalian Genome Society; International Mouse Phenotyping Consortium; International Society for Transgenic Technologies; Mutant Mouse Resource and Research Centers; Phenomics Australia; RRRC- Rat Resource and Research Center; Guillaume Pavlovic  42
Collaborators, Affiliations
Review

Improving laboratory animal genetic reporting: LAG-R guidelines

Lydia Teboul et al. Nat Commun. .

Abstract

The biomedical research community addresses reproducibility challenges in animal studies through standardized nomenclature, improved experimental design, transparent reporting, data sharing, and centralized repositories. The ARRIVE guidelines outline documentation standards for laboratory animals in experiments, but genetic information is often incomplete. To remedy this, we propose the Laboratory Animal Genetic Reporting (LAG-R) framework. LAG-R aims to document animals' genetic makeup in scientific publications, providing essential details for replication and appropriate model use. While verifying complete genetic compositions may be impractical, better reporting and validation efforts enhance reliability of research. LAG-R standardization will bolster reproducibility, peer review, and overall scientific rigor.

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Conflict of interest statement

The authors declare no competing interests.

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