Reporting and Validating Genetic Background in Mouse Models for Biomedical Research
This class will address the best practices for reporting and validating the genetic background of mouse models. The genetic background of mouse models can influence the phenotype of the condition being studied and affect data interpretation and reproducibility. Accurate reporting and validation of the genetic background are becoming increasingly important as mouse models are shared among research teams. This class will explore the recent Laboratory Animal Genetic Reporting (LAG-R) framework report (https://doi.org/10.1038/s41467-024-49439-y) and offer practical insights on how to implement the new framework in your lab.
William Shawlot (Director, Mouse Genetic Engineering Facility, CBRS)
Bill Shawlot received his Ph.D. from the Baylor College of Medicine and did his post-doctoral training with Richard Behringer at the M.D. Anderson Cancer Center. He was an Assistant Professor in the Department of Genetics, Cell Biology, and Development at the University of Minnesota, studying mammalian embryogenesis before joining the Texas A&M Institute for Genomic Medicine (TIGM) to help lead TIGM’s efforts in the International Knockout Mouse Consortium program. He has over 30 years of experience in the transgenic mouse field and serves on the External Advisory Committee for the NIH’s Mutant Mouse Resource and Research Center program.
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Free