Radiosensitivity signature genes were identified using significant analysis of microarrays (SAM) and gene set analysis was performed using a global test using linear regression model.
Next, we performed a gene set analysis using a global test based on a linear regression model with a well-defined gene set from KEGG pathways.
Departure from Hardy-Weinberg expectations (HWE) was tested with 1000 permutations using a global test across loci or samples as implemented in GENEPOP v. 4.2 [ 46].
Differences in the growth rate of FHUVECs and MHUVECs were assessed using linear regression, in which slope variations were compared using a global test of coincidence.
Furthermore, the modern Cross River samples approached a significant 'deficit of heterozygotes' when using a global test over all loci (corrected p = 0.071).
To explain the biological processes and signaling pathways of radiosensitivity, a gene set functional study using a global test [ 10] was applied.
To find a pathway of genes correlated with SF2, gene set analysis was performed using a global test [ 10] with a defined gene set from the Kyoto encyclopedia of genes and genomes (KEGG) pathways.
However, in evaluating change in C-peptide over the entire follow-up period, the rituximab group means were significantly larger as compared within assessment times with the placebo group means using a global test (P = 0.03).
When no mathematical relationship was specified across time, the rituximab group means were significantly larger as compared within assessment times with the placebo group means using a global test (P = 0.03); the trend is that the differences become smaller with each successive follow-up assessment (6 to 30 months: 0.116, 0.106, 0.102, 0.0970, 0.0903).
The first method uses a global test for the combination of the primary and secondary endpoints, while the second uses a partial Bonferroni correction.
