Power for Genetic Association Analyses (PGA)
2008
PGA: A Power Calculator for Genetic Studies
Sample size: 1600
publication
Evidence: moderate
Author Information
Author(s): Menashe Idan, Rosenberg Philip S, Chen Bingshu E
Primary Institution: National Cancer Institute, National Institute of Health
Hypothesis
How can we improve power calculations for case-control genetic association studies?
Conclusion
PGA is user-friendly software that facilitates decision-making for genetic association studies.
Supporting Evidence
- PGA allows users to calculate the sample size needed for different genetic models.
- The software can handle multiple hypothesis testing adjustments.
- PGA provides graphical outputs to help visualize power calculations.
Takeaway
PGA helps scientists figure out how many people they need to study to find genetic links to diseases.
Methodology
Developed in Matlab, PGA includes algorithms and GUIs for calculating sample size and minimum detectable risk for SNPs.
Limitations
The software may not account for all complexities in genetic studies, such as varying allele frequencies.
Digital Object Identifier (DOI)
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