Genetic Diversity and Gene Networks in Mice
Author Information
Author(s): Iancu Ovidiu D, Darakjian Priscila, Walter Nicole AR, Malmanger Barry, Oberbeck Denesa, Belknap John, McWeeney Shannon, Hitzemann Robert
Primary Institution: Oregon Health & Science University
Hypothesis
How does genetic diversity within a species affect gene co-expression network structure?
Conclusion
The transcriptome structure was remarkably similar across different mouse populations despite genetic diversity.
Supporting Evidence
- The study created a new mouse resource from eight inbred strains to capture genetic diversity.
- Gene expression data were analyzed using WGCNA to identify co-expression networks.
- Modules of co-expressed genes showed significant overlap with known neuronal processes.
Takeaway
Scientists studied mice to see how their different genes work together, and they found that even with different genes, the way these genes connect is quite similar.
Methodology
Gene expression data were obtained from the striatum using the Illumina WG 6.1 array and analyzed using weighted gene co-expression network analysis (WGCNA).
Limitations
The study's findings may be limited by the sample size and the specific strains of mice used.
Participant Demographics
Mice from eight inbred strains were used to create the HS-CC.
Statistical Information
P-Value
p < 10-5
Statistical Significance
p < 10-5
Digital Object Identifier (DOI)
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