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Both tests were significant, indicating that the scores did not follow a normal distribution.
If both tests were significant at the 0.05α level, the next endpoint could be evaluated for confirmatory statistical significance.
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Codons are identified as undergoing adaptive evolution if both tests are significant and if the posterior probability under both M2 and M8 models was ≥0.95.
For non-imprinted QTL the expectation is that both tests are significant because there is expression from both parents.
If both tests are significant, it suggests that in both studies, more of the same genes are significantly associated with glioblastoma and that there is general linear correlation of min P values across the two data sets.
If both of these tests were significant and the magnitudes of the changes followed the hypothesized pattern, a linear trend would be suggested.
To restrict the analysis to robust candidate associations the Bonferroni correction was applied and only cumulated tests in which both W and G tests were significant were used to identify associated loci [ 56].
The funnel plot did not suggest evidence of publication bias (fig 3), whereas Egger and Begg tests were significant (both P<0.05).
The Gmean tests were significant for both CBF2 and -3, and DKS was significant for CBF2 (Table 2).
Both the Begg and the Egger tests were significant (p < 0.05) and the funnel plot did not suggest any publication or related bias.
For AGAP005194 and AGAP005195, likelihood ratio tests were significant for both model comparisons (M2 vs. M1 and M8 vs. M7) highlighting several sites with ω values higher than 1.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com