“highly significant”

The sex-biased difference in UBA1-CDK16 expression was found to be highly significant ( P = 2.7 × 10 −53 ) ( Fig. 1H ).

Within this interactome, we identified a highly significant ( p < 10 –52 ) smaller network ( Figure 4 ) showing enrichment for the HNF4α pathway.

This model yielded a highly significant association to AD (ACAT-O CON p = 2.21 × 10 −52 ; p Lassosum _CON = 1.1 × 10 −52 ; z Lassosum = 9.94; R 2 Lassosum = 5.7%).

The association of the CH-GRS with CCT was not as strong, but still highly significant ( P = 2.68*10 −52 ).

Additionally, there was a highly significant correlation between S-score and the hits enrichment of GSPs ( R 2 = 0.66, P-value = 4.3E-52 ) ( Figure 3B ).

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 ).

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 .

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 ).

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

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

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 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.

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

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).

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).

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.

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

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).