Excerpts

We detected a small but highly significant association between the anhedonia PRS and the anhedonia phenotype scores (β = 0.0007, p = 1.17 × 10 –14 ).

The enrichment of expressed genes in the set of active promoters was highly significant ( P = 1.2 × 10 −14 ).

Highly significant differences were detected between calculations using Phylomatic and the unconstrained (t = -9.7575, df = 69, p-value = 1.271e-14; t = -14.686, Barocode only: df = 67, p-value < 2.2e-16), as well as the constrained (t = -12.365, df = 69, p-value < 2.2e-16; Barcode only: t = -17.857, df = 67, p-value < 2.2e-16) barcoding ML analyses ( Fig 5 ).

At α = 0.05, there were highly significant differences among the predicted genotypic effects ( P = 1.33e-14) when compared to the population mean (μ) (Supplementary Table 2 ).

The omnibus ANOVA demonstrated highly significant differences between groups (F = 32.52, p = 1.36 × 10 −14 ), confirming that complexity scores correspond to measurable differences in clinical effort and resource utilization ( Table 4 ).

After 24 hours, we quantified luciferase activity and found a highly significant effect of group (One-way ANOVA, F = 169.95; df = 4; p = 1.37 10 −14 , Figure 4 B).

Despite these conservative summaries, paired Wilcoxon signed-rank tests on the encounter-level differences demonstrated highly significant separation: median ΔP_event for censored levels exceeded that for onset levels (p ≈ 1.4 × 10 −14 ), and median W_event for censored levels similarly exceeded onset W_event (p ≈ 3.1 × 10 −11 ).

For sites within genes, MLV showed a highly significant bias in favor of integration near transcription start sites ( p = 1.4 × 10 −14 ).

Comparative analysis of the paired samples revealed highly significant overexpression of NDC80 mRNA in ccRCC samples from TCGA (p = 1.4e-14) and ICGC (p = 1.2e-11) ( Figures 2 B and 2C).

The results indicated a highly significant slower pace of potentially functional mutations ( P = 1.42 × 10 −14 ) ( Fig. 3 ).

When comparing measurements from two observers, they exhibited a highly significant correlation coefficient (r = 0.98, p = 0.143 × 10 −13 ).

The correlation of the probability estimates of the models from the hippocampus and frontal cortex was highly significant and of moderate strength ( ρ = 0.41, p = 1.5e−14; Additional file 1 : Fig.

Acquisitions of 14.5 min duration performed on anesthetized, spontaneously respiring animals, without gating and administration of contrast agent resulted in a highly significant correlation (R = 0.98, p = 1.5 × 10 −14 ) between the MRI-derived liver volumes and the post-mortem liver weights in hepatectomized, untreated mice. 1,4-bis [2-(3, 5-dichloropyridyloxy)] benzene (TCPOBOP), a synthetic agonist of the mouse constitutive androstane receptor and a potent activator of cytochrome P450 monooxygenase activity ( Halwachs et al., 2007 ) shown earlier to induce hepatocyte proliferation and hepatomegaly ( Ledda-Columbano et al., 2000 ), was then evaluated as test compound in the model.

This contribution was highly significant ( p = 1.5 × 10 −14 , F -test).

Their p values according to the GTEx data by the same selective expression measure (the proposed robust-regression z -score) were also highly significant based on the transcript-level selective expression, p = 1.5E−14 and 9.4E−12, respectively.

The most associated SNP, AX_91849634, was found on chromosome 3 with a highly significant p -value of ≤1.53 × 10 −14 .

Consistent identification of TGs across both sub-regions was observed, supported by highly significant overlaps for both upregulated (Hypergeometric test p = 1.6e-14) and downregulated ( p = 5.0e-17) genes, thereby underscoring the robustness of SCILD’s inference (Fig. 6i , Supplementary Table 3 ).

A highly significant relationship ( p = 1.61 × 10 −14 / p = 0.00, Table 6 ) was found between the P. minimum abundance estimates derived from amplicon sequencing data and the P. minimum -specific qPCR, while the relationships between microscope counts and qPCR and microscope counts and amplicon sequencing were not significant ( p > 0.05, Table 6 ).

Gene-based association analysis revealed a highly significant overlap between the two studies, with 15 shared genes among the 61 genes identified as significant in our GWAS (Supplementary Data 3 ; hypergeometric test P = 1.63 × 10 −14 ).

For NEM‐targeted parasites, the relative abundance of Ancylostoma ( W = 42.88, p = 5.83e‐11) showed a significant rise in the Xuancheng locality, accompanied by a decreasing trend in the relative abundance of Trichinella ( W = 58.93, p = 1.63e‐14) (Figure 2E ). 3.3 Variations in Gut Parasite Abundance and Diversity of Chinese Alligators Across Feeding Regimens, Age and Climates Our analysis of both α‐diversity and β‐diversity unveiled that Chinese alligators under different feeding regimens exhibited significant differences in the richness and community structure of intestinal parasites, with these differences being evident for both EUK‐targeted (eukaryotic parasites) and NEM‐targeted (nematode) parasite groups (Figure 3A,B ).

In contrast, the correlation between CD4 + and CD8 + T cell responses was highly significant in aggregate (R = 0.6756; p = 1.70 × 10 −14 ; Figure 2 F) and was significant for each of the individual antigen comparisons ( Figures 2 G–2I).

This lead to the discovery of a highly significant association with the TNFSF15 gene, p = 1.71 × 10 -14 in a large replication sample.

The association was highly significant for white mothers ( P =1.8 × 10 −14 ) and for non-white mothers ( P =1.5 × 10 −6 ; Table 1 ).

As expected, the Nrf2/Keap1 pathway genes were highly significant (p = 1.8×10 −14 ).

Venn diagram analysis identified 1,574 overlapping candidates that were both differentially expressed and differentially methylated ( Figure 4D ), a highly significant overlap (P < 1.9×10 −14 ).