Exact(3)
For some commercial labs, the price of panel testing is much higher than individual gene testing, while other commercial labs have a "fixed price" cost that is the same for either full panel or individual gene testing.
Based on these data, dose optimization based solely on ethnicity (without individual gene testing) is unlikely to impact on risk of treatment failure or toxicity even in an African population with high carriage of poor metabolizer mutations.
Our findings indicate that without the availability of individual gene testing and therapeutic drug monitoring, NVP dosing does not be need to be adapted on the basis of ethnicity, as this would not reduce the risk of treatment failure (based on the recommended NVP MEC) or prevent toxicity.
Similar(57)
One major issue in data analysis is to determine whether changes in gene expression are experimentally significant, with the background of thousands of individual genes tested simultaneously.
Since each of the individual gene tests are more or less independent tests and we are conducting a large number of tests, this uncorrected significance value could be misleading.
These individual gene tests were also done within the confines of the model using an F-test to test for a mean separation between wild-type and the 35S MYB line (Table S10).
This leads the focus to shift from cost of genetic testing to the clinical value of individual gene tests.
The weak signals of exposure-induced changes in whole blood made it very difficult, or even impossible, to identify single genes statistically significant with the background of thousands of individuals genes tested simultaneously.
For individual genes, tests of statistical significance between wild-type and pRb-deficient samples were conducted using Wilcoxon tests; permutation number was set to no less than 500, false discovery rate (FDR) was strictly set under 5%, and fold change was used to determine the quantity of genes included in the final outcome.
Third, MAVTgsa displays the results for individual genes test of significant gene sets.
The standard technique to identify such recurrently mutated genes is to perform a single gene test, in which individual genes are tested to determine if their observed frequency of mutation is significantly higher than expected [ 1- 3].
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