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A protocol for high-throughput phenotyping, suitable for quantitative trait analysis in mice.

Leah C Solberg1, William Valdar, Dominique Gauguier

  • 1Wellcome Trust Centre for Human Genetics, University of Oxford, Oxford Roosevelt Drive, Oxford, OX3 7BN, UK.

Mammalian Genome : Official Journal of the International Mammalian Genome Society
|February 9, 2006
PubMed
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This summary is machine-generated.

A new protocol enables cost-effective, large-scale phenotyping in mice. This approach identifies genetic variants underlying complex traits like anxiety, diabetes, and asthma in genetically heterogeneous stock (HS) mice.

Area of Science:

  • Genetics
  • Animal Models
  • Systems Biology

Background:

  • Whole-genome studies in outbred mice are key to understanding naturally occurring genetic variants.
  • Identifying molecular bases for quantitative trait variation requires scalable phenotyping methods.
  • Existing protocols are insufficient for large-scale, multi-phenotype data collection.

Purpose of the Study:

  • To develop and implement a cost-effective protocol for large-scale, multi-phenotype data collection in outbred mice.
  • To enable genetic association studies for complex traits using genetically heterogeneous stock (HS) mice.
  • To investigate gene-gene and gene-environment interactions influencing phenotypic variation.

Main Methods:

  • Development and deployment of a standardized phenotyping protocol.

Related Experiment Videos

  • Collection of multi-phenotype data from 2000 outbred HS mice.
  • Measurement of disease models (anxiety, type II diabetes, asthma), blood biochemistry, immunology, and hematology.

    • Main Results:

    • The protocol successfully collected multiple phenotypes from 2000 outbred HS animals.
    • Significant strain differences were observed among the eight progenitor inbred mouse strains.
    • The collected data supports large-scale investigations into the genetic basis of complex traits.

    Conclusions:

    • The developed protocol is effective for large-scale, multi-phenotype data collection in outbred mice.
    • This approach facilitates the identification of genetic variants underlying complex traits.
    • The study provides a foundation for future research on gene interactions and environmental influences on phenotypes.