Related Experiment Video
Updated: Jan 26, 2026

Author Spotlight: Using Hyperpolarized Xenon-129 MRI to Study Lung Diseases
Published on: January 5, 2024
Quality assurance checklist and additional considerations for canine clinical genetic testing laboratories: a
Lisa G Shaffer1, Anja Geretschlaeger2, Christina J Ramirez3
1Paw Print Genetics, Genetic Veterinary Sciences, Inc., 220 E Rowan, Suite 220, Spokane, WA, 99207, USA. Lshaffer@pawprintgenetics.com.
Abstract:
There is currently no oversight for canine clinical genetic testing laboratories. We published an initial set of standards and guidelines with the goal of providing a basis for which canine testing laboratories could evaluate their quality assurance programs. To further those standards and guidelines, we have developed a checklist that can be used as a self-evaluation to identify gaps in their programs for continual quality improvement over time. Because there is currently no organization willing to oversee an external proficiency program, the checklist provides the first step toward an internal, self-assessment that can be used periodically to monitor improvements. In addition, we attempt to address concerns from the canine community regarding rare or private mutations, genetic screening using array-based technologies, non-peer reviewed tests that are being offered, and the clinical validity of certain mutations in particular breeds. Through coordination, conversation and hard work, the canine genetic testing community can strive to organize to improve testing and to provide more transparency to consumers and better outcomes for dogs.
More Related Videos
08:39Standardization and Maintenance of 3D Canine Hepatic and Intestinal Organoid Cultures for Use in Biomedical Research
Published on: January 31, 2022
10:22Enrichment of Pachytene Spermatocytes and Spermatids from Mouse Testes Using Standard Laboratory Equipment
Published on: September 17, 2019
Related Concept Videos
Quality Assurance
Testing Water Quality
Testing a Claim about Standard Deviation
The hypothesis testing for the claim of population standard deviation (or variance) requires the data and samples to be random and unbiased. The population distribution also must be normal. There is no specific requirement on the sample size as the estimation is based on the chi-square distribution.
As a first step, the hypothesis (null and alternative) concerning the claim about...
Myocarditis II: Clinical Features and Diagnostic Tests
Pericarditis II: Clinical Features and Diagnostic Tests
Atherosclerosis II: Clinical Manifestations and Diagnostic Tests