Improving laboratory animal genetic reporting: LAG-R guidelines
Lydia Teboul, James Amos‐Landgraf, Fernando Benavides, Marie‐Christine Birling, Steve D. M. Brown, Elizabeth C. Bryda, Rosie Bunton-Stasyshyn, Hsian‐Jean Chin, Martina Crispo, Fabien Delerue, Michael Dobbie, Craig L. Franklin, Ernst‐Martin Füchtbauer, Xiang Gao, Christelle Golzio, Rebecca Haffner, Yann Hérault, Martin Hrabě de Angelis, K. C. Kent Lloyd, Terry Magnuson, Lluı́s Montoliu, Stephen A. Murray, Ki‐Hoan Nam, Lauryl M. J. Nutter, Éric Pailhoux, Fernando Pardo‐Manuel de Villena, Kevin A. Peterson, Laura G. Reinholdt, Radislav Sedláček, Je Kyung Seong, Toshihiko Shiroishi, Cynthia L. Smith, Toru Takeo, Jonathon M. Tinsley, Jean-Luc Vilotte, Søren Warming, Sara Wells, Bruce Whitelaw, Atsushi Yoshiki, Atsushi Yoshiki, Chi‐Kuang Leo Wang, CELPHEDIA infrastructure, Jacqueline Marvel, Ana Zarubica, Sara Wells, International Mammalian Genome Society, Jason D. Heaney, Sara Wells, International Society for Transgenic Technologies, Ian Korf, Cathleen Lutz, Phenomics Australia, Andrew J. Kueh, Paul Q. Thomas, Ruth M. Arkell, Graham J. Mann, Guillaume Pavlovic
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.