TY - JOUR
T1 - Improving laboratory animal genetic reporting
T2 - LAG-R guidelines
AU - Teboul, Lydia
AU - Amos-Landgraf, James
AU - Benavides, Fernando J.
AU - Birling, Marie Christine
AU - Brown, Steve D.M.
AU - Bryda, Elizabeth
AU - Bunton-Stasyshyn, Rosie
AU - Chin, Hsian Jean
AU - Crispo, Martina
AU - Delerue, Fabien
AU - Dobbie, Michael
AU - Franklin, Craig L.
AU - Fuchtbauer, Ernst Martin
AU - Gao, Xiang
AU - Golzio, Christelle
AU - Haffner, Rebecca
AU - Hérault, Yann
AU - Hrabe de Angelis, Martin
AU - Lloyd, Kevin C.Kent
AU - Magnuson, Terry R.
AU - Montoliu, Lluis
AU - Murray, Stephen A.
AU - Nam, Ki Hoan
AU - Nutter, Lauryl M.J.
AU - Pailhoux, Eric
AU - Pardo Manuel de Villena, Fernando
AU - Peterson, Kevin
AU - Reinholdt, Laura
AU - Sedlacek, Radislav
AU - Seong, Je Kyung
AU - Shiroishi, Toshihiko
AU - Smith, Cynthia
AU - Takeo, Toru
AU - Tinsley, Louise
AU - Vilotte, Jean Luc
AU - Warming, Søren
AU - Wells, Sara
AU - Whitelaw, C. Bruce
AU - Yoshiki, Atsushi
AU - Pavlovic, Guillaume
AU - Phenomics Australia
AU - RRRC- Rat Resource and Research Center
AU - Asian Mouse Mutagenesis Resource Association
AU - CELPHEDIA infrastructure
AU - INFRAFRONTIER consortium
AU - International Mammalian Genome Society
AU - International Mouse Phenotyping Consortium
AU - International Society for Transgenic Technologies
AU - Mutant Mouse Resource and Research Centers
N1 - Publisher Copyright:
© 2024. The Author(s).
PY - 2024/7/2
Y1 - 2024/7/2
N2 - 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.
AB - 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.
UR - http://www.scopus.com/inward/record.url?scp=85197687914&partnerID=8YFLogxK
U2 - 10.1038/s41467-024-49439-y
DO - 10.1038/s41467-024-49439-y
M3 - Journal article
C2 - 38956430
AN - SCOPUS:85197687914
SN - 2041-1723
VL - 15
JO - Nature Communications
JF - Nature Communications
IS - 1
M1 - 5574
ER -