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Improving laboratory animal genetic reporting: LAG-R guidelines.

Lydia TeboulJames M Amos-LandgrafFernando J BenavidesMarie-Christine BirlingSteve D M BrownElizabeth BrydaRosie K Bunton-StasyshynHsian-Jean ChinMartina CrispoFabien DelerueMichael DobbieCraig L FranklinErnst-Martin FuchtbauerXiang GaoChristelle GolzioRebecca HaffnerYann HéraultMartin Hrabě de AngelisKevin C Kent LloydTerry R MagnusonLluís MontoliuStephen A MurrayKi-Hoan NamLauryl M J NutterEric PailhouxFernando Pardo-Manuel de VillenaKevin A PetersonLaura G ReinholdtRadislav SedlacekJe-Kyung SeongToshihiko ShiroishiCynthia L SmithNobuyuki MikodaLouise TinsleyJean-Luc VilotteSøren WarmingSara E WellsC Bruce A WhitelawAtsushi Yoshikinull nullnull nullnull nullnull nullnull nullnull nullnull nullnull nullnull nullGuillaume Pavlovic
Published in: Nature communications (2024)
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.
Keyphrases
  • genome wide
  • adverse drug
  • copy number
  • mental health
  • healthcare
  • clinical practice
  • dna methylation
  • gene expression
  • advance care planning
  • clinical evaluation