Excerpts

A highly significant positive correlation ( r = 0.74, P value = 8.8*10 −16 at 95%, CI = [0.62,0.82]) of BC with infection counts and with Death considering 10 days lag ( r = 0.84, P value = 2.02*10 −13 at 95%, CI = [0.73,0.91]) for the entire period, supports the above interpretation ( Fig. 2 (a, b)).

With additional adjustment for visceral fat, the association between rs738409 and percent liver fat was highly significant ( P = 8.88 × 10 −16 ; data not shown).

To determine the biological relevance of TDP-43-regulated APA, we studied its effects on microtubule affinity regulating kinase 3 (MARK3), a highly significant ( P = 9.4 × 10 –16 ) hit from APA analysis of ALS/FTD frontal cortex neuron nuclei containing or depleted of TDP-43.

Combining replication evidence from all 6 cohorts revealed an overall highly significant deviation from the expectation under the null (KS test p = 9.7 × 10 −16 , Fig. 4h ).

The difference between the two conditions was statistically highly significant ( p < 10 −15 , χ 2 = 2006.5, two-sided chi-square test with degree of freedom 1).

Similarly, we found slightly reduced but still highly significant correlations using expression differences normalized to the average variation (effect size) (Pearson's correlation R = 0.566, p < 10 -15 and R = 0.584, p < 10 -15 , respectively).

2c and Supplementary Data 2 ); pairwise comparisons were likewise highly significant ( n = 398 and 753, respectively, both p < 10 –15 ; Supplementary Fig. 4 ).

The overlap of DTA and DGE events identified across all three data sets was highly significant (phyper P < 1 × 10 −15 ), confirming the robustness of our findings.

Data from a large cohort of individuals with sports concussion were examined and also demonstrated that differences in mean values of reaction time and reaction time variability (with the Brain Gauge) are statistically highly significant between healthy control and post-concussion populations ( p < 10 −15 ; Tommerdahl et al., 2020 ).

Here we identify associations between microbiome diversity and both moderate physical activity (MPA; times per week) and vigorous physical activity (VPA; times per week) that are highly significant (Fig. 3 ; P < 10 −15 and P < 10 −15 , for MPA and VPA, respectively).

This revealed a highly significant association between the risk scores and the survival of the patients (Figure 2C ; log rank test P < 10 −15 ).

The 737 shared downregulated genes were enriched in GI pathways ( Figure 3E ), and this overlap was highly significant by hypergeometric test ( P < 1 × 10 –15 ; ~5-fold enrichment) ( 65 ).

This overlap is highly significant (p < 10 −15 , hypergeometric distribution), indicating that CUT&RUN correctly recovers a large portion of previously identified R-loops.

PPI networks identified by STRING analysis showed highly significant functional associations (PPI enrichment p -value < 1.0 -15 , for both γ-ray and X-ray irradiation response analyses).

Transcriptomic analysis of differentially expressed genes following cannabis or tobacco smoke exposure for 24 h at 10% dilution revealed a highly significant correlation ( r = 0.695, P < 1.0*10 −15 ) and overlap of shared changes in gene expression (Fig. 1 , n = 389, purple triangles).

The correlation coefficient was r = 0.93 and highly significant ( p < 10 −15 ).

First, they represent a consistent and highly significant (Wilcoxon test P < 10 −15 in all growth phases except LS) decrease in expression across hundreds of rpoS regulated genes, in all five growth phases.

Analyzing the AMΦ data with linear models to control for batch effects, we found a highly significant effect of CSE concentration (p < 10 −15 ) on phagocytosis.

The differences in the mean number of these alleles in each population were highly significant (ANOVA P value = 1×10 −15 ).

This association is highly significant ( p < 10 -15 ).

This showed a highly significant increased risk of MS associated with smoking with no significant statistical heterogeneity (RR 1.48, 95% CI 1.35–1.63, p<10 −15 , heterogeneity: χ 2 = 7.38, p = 0.60; figure 1 ).

In particular, the adjusted R 2 for the two fits in Figures 3A and 4C from [ 6 ], are respectively, 0.97 and 0.25, where F value (160) for the fit comparison is statistically highly significant (P~10 −15 ).

The correlation coefficient at 100 ms is 0.67 (n = 95) and is highly significant (p <10 −15 ).

Not surprisingly, all pairs of correlations are highly significant with p -values < 10e-16 (alternative hypothesis: true correlation is not equal to 0).

1d ) fitted the standard logistic population growth model well and displayed highly significant increase in biomass ( p < 10 –15 , likelihood ratio test), which is typical for the growth of microorganisms under favorable conditions 23 .