Excerpts

In comparative ATAC-seq analyses, the accessibility difference between Aire+/+ and Aire-/- mTEC hi cells at super-enhancers was highly significant (P = 6.6 x 10 -52 ) ( 6 ).

The LDSC analysis confirmed positive and highly significant genetic correlations between CP phenotypes and asthma (MCP, rg = 0.44, P = 7.23 × 10 −52 ; knee pain, rg = 0.37, P = 8.25 × 10 −7 ; back pain, rg = 0.35, P = 3.45 × 10 −10 ; neck/shoulder pain, rg = 0.36, P = 1.26 × 10 −5 ; stomach/abdominal pain, rg = 0.50, P = 5.40×10 −7 ).

The correlation between the number of PPI domains and the number of TF–TF interactions was highly significant and negative (Spearman r = −0.455, P -value = 1e-51; fig. 1B ; table 1 ).

Figure 8 shows a module (from Module group 2) that has a highly significant overlap with Cell Cycle related gene sets (enrichment of the top gene set: p <10 −51 ), see Figure 7 .

Relationship of citation source to citation validity Pearson’s chi-square tests revealed a highly significant association between citation source type (article vs. book) and citation validity across all three models (χ2 ≥ 236, df = 3, Bonferroni-adjusted p < 1 × 10 − 50).

Furthermore, COWAS discovered a highly significant effect of the interaction between APOE and LDLR on AD risk ( P < 1e−50).

We found the correlation of similarity within days and across days to be high (ρ = 0.75) and highly significant (P<10 −50 ).

However, even though the overlap between the two target sets was modest (46%), it was statistically highly significant ( p <10 −50 ).

The RNA-seq based estimates of the change in transcript abundance showed a highly significant positive correlation with the change in the long/short-ratio ( Fig 2B ; correlation coefficient 0.32; p-value <1.0E-50), which was even stronger for the 97 genes with significant tail-length change after multiple-testing correction ( Fig 2B ; correlation coefficient 0.4; p-value = 4.4E−05), suggesting that changing the poly(A)-tail length due to reduced PAPS1 activity alters transcript abundance.

A minority of SNPs > 500 kb away from their associated eGenes were highly significant (0.5%, P < 1 × 10 -50 , 13.4% with P < 5e-8) (Figure 4 A).

The Spearman correlation coefficients (ρ) were 0.83 for both the nonstimulated and EGF-stimulated conditions, with highly significant p -values <1 × 10 –50 .

7 There is a highly significant correlation between absolute ASM scores across all probes informative in both data sets (n = 129,559, r = 0.21, P < 1.0 × 10 −50 , Fig.

To assess the statistical significance of the enrichment of cLD in 3D contact regions, we conducted Mantel-Haenszel and Fisher exact tests ( Section 3.4 in S1 Text ), both of which are highly significant (P-value < 1.0E-50; Tables J and R and Section 3.4.1 in S1 Text ).

The test yielded an extremely significant p -value < 1.0 × 10 −50 .

This difference was apparent regardless of whether the minor allele is associated with higher (Δmean |log 2 (aFC)| = −0.277; two-tailed Wilcoxon rank-sum test: W = 928,592, P = 1.39 × 10 −50 ) or lower expression (Δmean |log 2 (aFC) = −0.268; two-tailed Wilcoxon rank sum test: W = 967,228, P = 2.97 × 10 −47 ), consistent with a model of stabilizing selection whereby gene expression is maintained within an optimal range.

In contrast, NLR showed a moderate correlation (r = 0.6299) with a highly significant difference between the pre- and post-deployment values ( p = 1.43 × 10 −50 ) ( Table 3 ).

As a group, haplotype-specific FIRE scores for these 124 peaks carried highly significant differences between their corresponding haplotypes (paired t test, p < 2 × 10 −50 , Figure 4 D).

This overlap is highly significant ( P = 6 × 10 -50 ) and substantially greater than with any other signatures we tested (Table 1 ).

Comparing the inferred “age/maturity” of the individual B-cell cluster showed highly significant differences between the three nonmature B-cell subpopulations (Kruskal-Wallis test, p =9.84e-50).

For example, of 596 genes in cluster 6A ( Figure 6 ) ( R 2 =0.505), 165 were involved in the process of worm growth according the Gene Ontology annotations, representing a highly significant enrichment of gene function in this cluster ( P < 10 −49 ) (Supplementary Data).

Finally, the region of residence presented a highly significant association ( p < 10 −49 ), with a minimum expected value of 21,573, indicating a strong relationship between the place of residence and the distribution of maternal and late deaths, as shown in Table 3 .

This difference was highly significant ( P = 4.3E-49 in chi-square test; Supplementary Dataset S1).

These differences were highly significant across all immune parameters (Kruskal-Wallis P < 10 − 48 for all comparisons).

Consistent with our prior publications 14 , 15 , we found clear suppression of EWS::FLI1 induced targets that was highly significant at the TES with both LCE ( P = 1.1e-48) and HCE ( P = 1.5e-33)(Fig. 3b ).

The model exhibited excellent discriminative power with a C-index of 0.901, and highly significant statistical results ( p = 1.207 × 10 −48 ).