Analyzing Genetic Disorders with GFINDer
Author Information
Author(s): Masseroli Marco, Galati Osvaldo, Manzotti Mauro, Gibert Karina, Pinciroli Francesco
Primary Institution: BioMedical Informatics Laboratory, Politecnico di Milano
Hypothesis
Can structured clinical information from OMIM improve the analysis of inherited disorder phenotypes?
Conclusion
GFINDer effectively supports phenotype analyses of inherited diseases and helps in understanding complex biological processes.
Supporting Evidence
- GFINDer modules allow annotating gene lists with clinical information.
- The study normalized and structured phenotype data from OMIM for better computational use.
- Statistical analysis highlighted significant phenotype locations related to specific gene classes.
Takeaway
The study created a tool called GFINDer that helps scientists understand how genes relate to diseases by organizing information about symptoms and genetic disorders.
Methodology
The study involved normalizing and structuring phenotype data from the OMIM database and implementing new modules in the GFINDer web system for analysis.
Limitations
The phenotype descriptions could be further standardized, and the availability of curated data is limited to certain disease classes.
Statistical Information
P-Value
p = 0.00074, p = 0.02206, p = 0.03165, p = 0.03562, p < 0.00001, p = 0.0002, p = 0.00347, p = 0.01702
Statistical Significance
p<0.05
Digital Object Identifier (DOI)
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