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Journal Articles Nature Communications Year : 2024

Improving laboratory animal genetic reporting: LAG-R guidelines

Lydia Teboul
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Marie-Christine Birling
Rosie Bunton-Stasyshyn
Hsian-Jean Chin
Martina Crispo
Fabien Delerue
Michael Dobbie
Craig L Franklin
Ernst-Martin Fuchtbauer
Xiang Gao
  • Function : Author
Kevin C Kent Lloyd
Stephen A Murray
Kevin Peterson
Laura Reinholdt
Radislav Sedlacek
Je Kyung Seong
Cynthia Smith
Toru Takeo
Louise Tinsley
Søren Warming
C Bruce Whitelaw
Chi-Kuang Wang
  • Function : Author
Ana Zarubica
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Jason Heaney
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Ian F Korf
  • Function : Author
Cathleen Lutz
  • Function : Author
Andrew J Kueh
  • Function : Author
Paul Q Thomas
  • Function : Author
Ruth M Arkell
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Graham J Mann
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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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hal-04637964 , version 1 (08-07-2024)

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Lydia Teboul, James Amos-Landgraf, Fernando J Benavides, Marie-Christine Birling, Steve D M Brown, et al.. Improving laboratory animal genetic reporting: LAG-R guidelines. Nature Communications, 2024, 15 (5574), ⟨10.1038/s41467-024-49439-y⟩. ⟨hal-04637964⟩
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