Online Database for Brain Disease Research
Author Information
Author(s): Brandon W. Higgs, Michael Elashoff, Sam Richman, Beata Barci
Primary Institution: Elashoff Consulting LLC
Hypothesis
The SMRIDB aims to enhance understanding of the genetic effects of brain diseases through a comprehensive online database.
Conclusion
The SMRIDB provides an efficient tool for data mining in brain disease research, facilitating biomarker discovery and understanding of biological mechanisms.
Supporting Evidence
- The SMRIDB integrates genomic patterns with clinical metadata to facilitate biomarker discovery.
- The database includes data from 12 studies across 6 different microarray platforms.
- It provides a user-friendly interface for efficient data mining in brain disease research.
Takeaway
This study created a special online tool that helps scientists find important information about brain diseases by looking at genes and patient details.
Methodology
The database compiles genomic data from 12 studies across 6 microarray platforms, integrating clinical metadata for analysis.
Potential Biases
There may be risks of bias due to patient-to-patient variability and the limitations of small sample sizes in some studies.
Limitations
The study acknowledges challenges in cross-platform comparisons and the potential for confounding variables due to sparse clinical information.
Participant Demographics
Participants included 165 patients diagnosed with bipolar disorder, schizophrenia, and major depression, along with unaffected controls.
Statistical Information
P-Value
p<0.01
Statistical Significance
p<0.01
Digital Object Identifier (DOI)
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