Integrating genetic and network analysis to characterize genes related to mouse weight
2006

Understanding Genes Related to Mouse Weight

Sample size: 135 publication 10 minutes Evidence: high

Author Information

Author(s): Ghazalpour Anatole, Doss Sudheer, Zhang Bin, Wang Susanna, Plaisier Christopher, Castellanos Ruth, Brozell Alec, Schadt Eric E, Drake Thomas A, Lusis Aldons J, Horvath Steve

Primary Institution: University of California Los Angeles

Hypothesis

The study aims to integrate genetic and network analysis to identify genes related to body weight in mice.

Conclusion

The research identifies genetic targets that influence gene modules related to body weight, providing insights into the relationship between gene expression and obesity.

Supporting Evidence

  • The study identified 12 distinct gene modules related to body weight.
  • Modules were enriched for specific biochemical pathways associated with obesity.
  • High intramodular connectivity was linked to significant gene expression related to weight.

Takeaway

This study looks at how certain genes in mice are connected to their weight, helping us understand why some mice get fat while others stay thin.

Methodology

The study used microarray and genetic marker data from an F2 mouse intercross to analyze gene co-expression networks and identify module quantitative trait loci (mQTL).

Limitations

The study focuses only on female mice, which may limit the generalizability of the findings to males.

Participant Demographics

The study involved 135 female mice from an F2 intercross between inbred strains C3H/HeJ and C57BL/6J.

Statistical Information

P-Value

7.7 × 10−5

Statistical Significance

p<0.05

Digital Object Identifier (DOI)

10.1371/journal.pgen.0020130

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