Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Experiment Videos

Control of variability.

B R Howard1

  • 1University of Sheffield, Sheffield, UK.

ILAR Journal
|October 23, 2002
PubMed
Summary
This summary is machine-generated.

Understanding sources of variability in experimental results is crucial. This includes genetic variability and subtle husbandry factors in laboratory animals, which require careful experimental design to manage.

Related Concept Videos

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Reducing the use of laboratory animals in biomedical research: problems and possible solutions.

Alternatives to laboratory animals : ATLA·2015
Same author

Assessing the welfare of genetically altered mice.

Laboratory animals·2006
Same author

FELASA recommendations for the accreditation of laboratory animal science education and training.

Laboratory animals·2002
Same author

FELASA recommendations for the education and training of persons carrying out animal experiments (Category B). Report of the Federation of European Laboratory Animal Science Associations Working Group on Education of Persons Carrying out Animal Experiments (Category B) accepted by the FELASA Board of Management.

Laboratory animals·2000
Same author

Crystal structure of Escherichia coli malate synthase G complexed with magnesium and glyoxylate at 2.0 A resolution: mechanistic implications.

Biochemistry·2000
Same author

Glyceryl trinitrate enhances nitric oxide mediated perfusion within the equine hoof.

The Journal of endocrinology·1996
Same journal

Laboratory Codes in Nomenclature and Scientific Communication (Advancing Organism Nomenclature in Scientific Communication to Improve Research Reporting and Reproducibility).

ILAR journal·2022
Same journal

History of the National Academies of Sciences, Engineering, and Medicine's Institute for Laboratory Animal Research.

ILAR journal·2022
Same journal

History of the International Council for Laboratory Animal Science.

ILAR journal·2022
Same journal

International Standardized Nomenclature for Outbred Stocks of Laboratory Animals.

ILAR journal·2022
Same journal

Rapid Response by Laboratory Animal Research Institutions During the COVID-19 Pandemic: Key Lessons Learned From a 2021 National Academies of Sciences, Engineering, and Medicine Workshop.

ILAR journal·2022
Same journal

Beyond the Laboratory: Emerging Landscape of Animal Studies - the Influence of National Academies of Sciences Activities and Publications.

ILAR journal·2022
See all related articles

Area of Science:

  • Experimental design
  • Animal models
  • Statistical analysis

Background:

  • Phenotypic variation within populations is influenced by genetic variability and other factors.
  • Subtle variations in laboratory animal husbandry can bias experimental results or mask true effects.
  • Traditional focus on genetic variability often overlooks other significant sources of variation.

Purpose of the Study:

  • To highlight the importance of considering multiple sources of variability in experimental design.
  • To discuss strategies for managing variability beyond genetic factors.
  • To emphasize the impact of husbandry on scientific procedures and results.

Main Methods:

  • Review of approaches discussed by the European Centre for the Validation of Alternative Methods (ECVAM).

Related Experiment Videos

  • Consideration of randomization techniques and grouping factors to manage variability.
  • Discussion of the impact of subtle environmental and husbandry variations on animal models.
  • Main Results:

    • Genetic variability is a key component of phenotypic variation.
    • Husbandry conditions and subtle environmental changes significantly impact laboratory animal responses.
    • Uncontrolled variability can introduce noise, masking experimental findings or biasing results.

    Conclusions:

    • Effective experimental planning must account for both genetic and non-genetic sources of variability.
    • Strategies like randomization and careful husbandry are essential for robust scientific outcomes.
    • Addressing all sources of variability enhances the reliability and validity of research using animal models.