“highly significant”

Zymo) (Additional file 1 : Figure S1A), with a highly significant correlation observed in both the prefrontal cortex (Additional file 1 : Figure S1B; R 2 = 0.99, P <2.2E-16) and cerebellum samples (Additional file 1 : Figure S1C; R 2 = 0.99, P < 2.2E-16).

Despite the difference in patient population and array platform, the correlation between PLK1 mRNA expression and DNA damage accumulation signature was highly significant in both datasets ( p < 2.2×10 −16 for both the TCGA and REMBRANDT dataset).

However, the intersection of FOXA2 sites between each pair of cell types was highly significant ( p <2.2×10 −16 ).

This revealed a highly significant association between gene age and expression specificity in both species ( D. melanogaster : χ 2 = 1092.66, df = 5, p < 2.2 × 10 −16 ; A. aegypti : χ 2 = 890.74, df = 5, p < 2.2 × 10 −16 ), indicating that stage‐specific genes are significantly enriched for evolutionarily young genes. 2.4.

Despite these differences, δ age and δ PD showed a highly significant positive correlation (r = 0.71, p < 2.2 × 10 −16 , Pearson) ( Figure 4 C), suggesting that the process of decoupling is qualitatively similar and has a comparable genome-wide distribution in HA and PD, although it is more pronounced in the latter.

While the difference between cases and controls is not significant (empirical P =0.070), we observe a highly significant overlap within each group ( P <2.2e−16 for cases and P =4.44e−16 for controls, Supplementary Methods , hypergeometric overlap test).

Indeed, by calculating a retention index for each cell type, defined as the Pearson correlation between the two matrices, we observed highly significant retention of pairwise distances for each cell type ( P < 2.2 × 10 −16 ; Extended Data Fig. 10e ).

The Spearman’s rank correlation coefficient of 0.74 between all d(fl, endo, g) and d(com, endo, g) scores is highly significant ( P = 2.2e −16 ), reflecting resemblance in genome size and signal peptide content of free-living bacteria and commensals.

The traits are much more correlated in both twin groups than in twin-spouse pairs or unrelated individuals (all comparisons were highly significant, p < 2.2e16).

The model revealed highly significant main effects of total body length (log 10 TBL) ( F = 3335.41, p < 2.2e‐16), indicating that mandible length strongly and predictably scales with overall body size.

In fact, 8,776 gene pairs were identified as DC in both AD and HD comparisons to controls, a highly significant overlap comprising 31% of all DC gene pairs and 74% of all DC reporters identified in AD ( P < 2.2 × 10 −16 ; Table 1 ).

We find a highly significant linear relationship between ψ and Fop ( F = 5325, P < 2.2 × 10 −16 ) as well as a strong positive correlation, measured as Spearman’s rank correlation coefficient (0.825).

There exist only small differences in their declared residence area (zip code), but they are older (median age 35 against 24), more likely men (men proportion 62.9% against 49.9%) and live within the Lyon-Villeurbanne urban area (85.3% against 81.7%, all theses differences are highly significant, p-value <2.2*10 −16 ).

Highly significant p -values for both directions (lesser and greater, p < 2.2 × 10 −16 ) were recorded.

The beta estimates for these SNPs showed a highly significant linear correlation ( P < 2.2e−16, Fig. 1g, j ).

We also confirmed highly significant correlations of the patterns of transcriptomic changes (FC of each gene) between cells with homozygous and heterozygous variants ( Figure S18 , p < 2.2 × 10 −16 for both chr7:g.26200781C>T and chr22:g.19179942C>T lines).

Averaging power in this range across the entire cue presentation period revealed a highly significant difference between the six regions in the 3-s spatial working memory task (F 5,1096 = 19.98, p = 2.2E-16, effect size: η 2 = 0.09).

Comparison of variance in global methylation between the depressed twin and their unaffected co-twin revealed a highly significant increased genome-wide variance in twins with MDD in both the UK and Australian cohorts ( P < 2.2 × 10 -16 in both datasets).

This shift was highly significant as determined by the Mann-Whitney-Wilcoxon Test ( P <2.2*10 −16 ).

Furthermore, a highly significant correlation was observed between the level of dysregulation of these 1,520 common DEGs within the two datasets (Pearson correlation test, R = 0.73, P -value < 2.2 × 10 −16 ) ( Fig 3B ).

This test revealed a highly significant difference in the overall distribution ( X-squared = 81.204,df = 4, P -value < 2.2e-16 ).

The two-way ANOVAs demonstrated highly significant differences between the strains ( Pdyn F 1,216 = 79.25, p = 2.2×10 −16 ; Penk F 1,213 = 60.19, p = 3.54×10 −13 for the strain factor) and a significant interaction of both factors (strain x brain region: Pdyn F 3,216 = 8.79, p = 1.6×10 −5 ; Penk F 3,213 = 5.36, p = 1.4×10 −3 ).

The investigation into the relationship between the effect sizes of ASVs and their respective taxonomic groups revealed highly significant results (Kruskal–Wallis test, P − value < 2.2 × 10 − 16 ) for both N conditions on all three days, suggesting a disproportionate enrichment of large effect ASVs within certain taxonomic groups.

Although the results of the test for direction of change in expression of X-linked transcripts in CDX males compared to Control males was highly significant (χ 2 = 82.7517, df = 3, P -value <2.2*10 −16 ), there was no evidence that these transcripts had feminized expression levels in CDX males ( Table 2 ).

Pearson's Chi-squared test showed that this difference is highly significant ( P < 2.2e − 16).