Clearly, to detect a specific effect Δ between mutations and non-mutations, the power can be too low when there is little variability in a marker.
Owing to the low number of patients carrying a BRAF mutation the statistical power was not enough to detect difference in outcome.
Considering their relatively low prevalence [ 35], we did not determine these mutations, because the power of this study to demonstrate an interaction between these mutations, analyzed as single markers, and tamoxifen treatment is low.
A successful recognition of all the mutations demonstrates the power of a combined diagnostic strategy.
These results suggest that many of these variants may also be associated with breast cancer risk for mutation carriers, but the power to detect statistically significant associations in mutation carriers is low.
Third, GBA approaches often generate implicit predictions of gene function without providing explicit predictions of the effects of a mutation or combination of mutations, thereby limiting the power to generate directly testable hypotheses.
Lines manipulated by single gene mutation have demonstrated the power of iPS technology for disease modeling with possible therapeutic potential.
Using protein-protein interaction network to capture the functional relationships among genes, Zhong et al. [ 9] showed that for most cancer types, using somatic mutations in a small panel of genes to classify tumors into subtypes is more effective than using whole exome-based mutation analysis, signifying the power of network-based approaches in cancer subtyping.
Although some strains carry multiple unique nonsynonymous, nonsense, or frameshift mutations, the combined power of limiting the scope of the search based on genetic markers and of using a comparative analysis among the eighteen genomes provides strong support for the association between mutation and phenotype.
These adjustments allow us to reliably include mutations with lower values of m i, increasing the total number of mutations and thus the power.
