Function2Gene: A Tool for Gene Selection in Genetic Studies
Author Information
Author(s): Don L. Armstrong, Chaim O. Jacob, Raphael Zidovetzki
Primary Institution: University of California, Riverside; University of Southern California School of Medicine
Hypothesis
Can using prior information improve the power of genetic association studies?
Conclusion
Using prior information helps researchers find reproducible genetic associations more effectively.
Supporting Evidence
- The tool Function2Gene was used to select genes for a study on childhood-onset SLE.
- The study identified 9 noteworthy genes associated with SLE.
- Two of these genes were highly significant with FDR less than 0.05.
Takeaway
This study created a tool that helps scientists pick the right genes to study diseases by using information from previous research.
Methodology
The study used expert knowledge and public databases to select and rank genes for SNP association studies.
Potential Biases
Publication bias may affect the reproducibility of genetic association studies.
Limitations
The results are temporally-sensitive and depend on the databases queried.
Participant Demographics
The study involved 251 nuclear families with childhood-onset Systemic Lupus Erythematosus.
Statistical Information
P-Value
FDR < 0.05
Statistical Significance
FDR < 0.05
Digital Object Identifier (DOI)
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