Gene Expression Variance and Neurological Diseases
Author Information
Author(s): Mar Jessica C., Matigian Nicholas A., Mackay-Sim Alan, Mellick George D., Sue Carolyn M., Silburn Peter A., McGrath John J., Quackenbush John, Wells Christine A.
Primary Institution: Harvard School of Public Health
Hypothesis
The degree of variation in the expression of genes associated with a particular cellular network is indicative of the plasticity of that network.
Conclusion
The study found that expression variance in core networks differs significantly between patients with Schizophrenia and Parkinson's disease, suggesting that both extremes of variability may be implicated in disease processes.
Supporting Evidence
- Genes with low-expression variance are more connected in signaling networks.
- Schizophrenia patients showed significantly reduced expression variability.
- Parkinson's disease patients exhibited increased expression variance.
Takeaway
This study shows that how much genes change in their activity can help us understand diseases like Schizophrenia and Parkinson's. Too little or too much change can be bad for health.
Methodology
The study analyzed gene expression variance in neural stem cells derived from patients with Schizophrenia, Parkinson's disease, and healthy controls using genome-wide transcriptional profiling.
Potential Biases
Potential biases may arise from the selection of patient groups and the inherent variability in gene expression data.
Limitations
The study primarily focused on male donors, which may limit the generalizability of the findings.
Participant Demographics
The study included male patients with Schizophrenia (n=9), Parkinson's disease (n=13), and healthy controls (n=11).
Statistical Information
P-Value
p<2.2×10−16 for SZ vs Control, p<0.001 for PD vs Control
Statistical Significance
p<0.05
Digital Object Identifier (DOI)
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