Barely Significant

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highly significantp -value < 10 −1920.0× alphaqualifiedgold
In addition to their propensity to be longer, proteins from the aggregation group also exhibited a higher relative frequency of methionines than random or dispersion proteins ( Figure 4 B), leading to a highly significant larger number of methionine residues per protein within the aggregation group, when compared to the dispersion ( p -value < 10 −192 , pairwise Wilcoxon rank sum test) or the random category ( p -value = 4 × 10 −192 , pairwise Wilcoxon rank sum test) ( Figure 4 C).
highly significantp = 1.61 × 10 −1910.0× alphaqualifiedgold
Consistent with our previous results, we found a small but highly significant enrichment of dDMPs becoming hypomethylated with cortex development ( n = 28,780 [56.5%], p = 1.61 × 10 −191 ) with the mean effect size being significantly greater for hypomethylated dDMPs than hypermethylated dDMPs (change in DNA methylation [%] per week: hypermethylated dDMPs = 1.03, hypomethylated dDMPs = −1.53, t test p < 1 × 10 −320 , Figure S3 ).
highly significantP = 1.9E − 1840.0× alphaqualifiedgold
50 With regard to the highly significant overlap ( P = 1.9E − 184) with the dataset comparing MDA-MB-231 cells vs MCF10A cells, it was striking that the majority of the 2385 overlapping gene features showed a negative correlation ( Fig. 2E ), indicating that more than 2/3 of the transcriptional alterations induced by low density cultivation of MCF10A cells overlapped significantly with MDA-MB-231 cells.
highly significantP < 1.0e-1830.0× alphaqualifiedgold
We found the DHCR7 lead SNP rs2852853 interacted with cohort (P = 2.0e-02) as well as gender (P = 2.6e-03), and the HLA-DQB1 lead SNP rs9275428 interacted with cohort (P = 6.1e-04), where cohort and gender were both highly significant environmental factors in the logistic regression models based on Equation 2 in the Methods section (P < 1.0e-183 and P < 1.0e-64 respectively).
highly significantp < 10 -1820.0× alphaqualifiedgold
To determine whether the overlap between the differentially expressed genes in FFPE RNA-Seq and FF microarrays in both datasets was not due to random association, we performed a hypergeometric test which revealed that the overlap was highly significant ( p < 10 -182 ) for both increased and decreased genes.
highly significantP = 5.3 × 10 −1810.0× alphaqualifiedgold
While about 8% of the worm genome is arranged antisense to another gene (Thierry-Mieg & Thierry-Mieg, 2006 ), approximately 35% of increased and decreased transcripts were arranged in this manner, representing a highly significant enrichment ( P = 5.3 × 10 −181 , hypergeometric distribution (hgd)) (Fig 1 B).
highly significantp < 10 –1750.0× alphaqualifiedgold
This trend was confirmed across two additional independent sampling replicates ( n = 10,000 molecules per replicate), indicating that the effect is not attributable to stochastic variability. Across all runs, the improvement in QED at T = 0.6 remained highly significant (one-way ANOVA p < 10 –175 ; Kruskal–Wallis p < 10 –180 ), with a similarly significant reduction in structural alerts ( p < 10 –2 ).
highly significantp = 1.47 × 10 −1720.0× alphaqualifiedgold
A highly significant proportion (99.2%; sign test p = 1.47 × 10 −172 ) had the same direction of association across the two datasets ( Figure S3 ), and a large proportion (n = 337; 58.0%) satisfied the criteria for a pleiotropic association (p < 1.04 × 10 −6 and HEIDI p > 0.05) in the replication dataset as well.