“highly significant”

Genetic correlations between each pair of traits were moderate in magnitude and were all highly significant ( p < 9.14 × 10 −14 for Levene’s test for variance heterogeneity; Tables 1 and S22 ), indicating that the continua of latent traits estimated from the population in this study shared genetic contribution with phenotypes used in case-control analyses.

Community 1 contains all of the centromeres, so not surprisingly it has a highly significant enrichment for centromeres (p = 9.36e-14).

Effector function for the N-803+10-1074 group was increased by 3.2-fold ( P =0.11), whereas suppressive activity for the N-803+10-1074+3BNC117 group was 12.6 times higher and highly significant by the Wald test ( P =9.9×10 −14 ) ( fig.

Pearson’s Chi-squared test for proportions indicated a highly significant increase (χ 2 = 55.38; p = 9.93 × 10 −14 ) of HCAIs in all ACHs, together with a statistically significant increase in surgical departments, despite fewer patient-days in surgical departments in 2023.

At mixed effects regression, using the CA as the random effect, these differences were highly significant (β-est. = 0.2223, t = 7.52, p = 9.99 × 10 −14 ; model AIC = 1876.46, Log.Lik = −923.873; minimum E-value = 2.09).

The difference in selectivity between these three responses was highly significant (p < 10 −13 ).

This combined result is highly significant ( P <10 −13 , Fisher's method), demonstrating the utility of an in vivo mutagenesis approach.

There was a statistically highly significant NYHA classification improvement in 66% of patients after surgery (Fisher’s exact test p ~ 10 − 13 ).

This observation was highly significant for the GPT-4o model using shared bigrams (Wilcoxon rank sum, P < 10 −13 for KEGG, P < 10 −5 for Reactome, and P < 10 −5 for WikiPathways) and cosine similarity (Wilcoxon rank sum, P < 10 −11 for KEGG, P < 10 −17 for Reactome, and P < 10 −9 for WikiPathways) as evaluation metrics.

Our risk score analysis using the sum of all 54 (both genotyped and well imputed) GWAS-significant risk alleles as a predictor of T2D risk in the Singapore Chinese Health Study population, while highly significant statistically (p<10 −13 ), showed per-allele ORs that are smaller on average (1.05) than the mean (1.16) of the published ORs for these alleles or of the mean (1.07) of the single SNP ORs estimated in this study.

This difference is highly significant in D. guianensis (Student’s t test, P -value < 10 −13 ) but not significant in S. rubra ( P = 0.43), likely because a limited number of mutations was detected (31 synonymous and 9 nonsynonymous mutations).

The differences between T1D and control subjects are highly significant in both male (p<10 −13 ) and female groups (p<10 −13 ) ( Figure 3b ).

We found that the participants’ correlation coefficients were highly significant in the individual level and in the group level (average R = 0.26 in experiment 1, p = 10 −13 ).

The improvement of the quadratic fit over the linear fit was highly significant ( P <10 −13 ), confirming the strong exponential relationship between the logarithm of PAI‐1 level and number of MetS criteria.

When these four biochemical parameters were correlated with each other, an (expected) highly significant ( p < 0.001 × 10 −10 ) correlation between CER-S and CU-S was found (see also Figures 2A , B ).

This analysis demonstrated that there was highly significant overlap between the genes for DEG-splicing and DEG-methylation (−log( p ) = 13; p = 2 × 10 −6 for both) and between CNV and SNV genes (−log( p ) = 3.1; p = 0.045) (significant = score > 3 = −log (0.05) for p = 0.05) ( Figure 1 A).

Moreover, canonical correlation analysis demonstrated a highly significant latent correlation structure ( p < 10 −13 ), reinforcing the idea that low-level AFM1 accumulation is biologically meaningful even in the absence of overt clinical abnormalities.

This cluster was characterized by a very low GII (average of 0.036 ± 0.035) relative to the rest of samples (average of 0.22 ± 0.12), which was highly significant (Wilcoxon test p < 10 -13 ).

Plotting log 2 fold changes in single-nucleus and bulk data revealed a highly significant positive relationship (Pearson R 2 = 0.21, P < 10 −13 , Spearman R 2 = 0.17, P < 10 −11 ) (fig.

Among the KEGG results, the most highly significant pathway overlap was between MS and RA (P = 1.03E-13), followed by T1D-RA (P = 51.22E-12), T1D-Alz (P = 5.91E-11), MS-T1D (P = 8.58E-10) etc.

We first tested the impact of PRS 231 in the QFS discovery sample and results demonstrated a highly significant association with obesity (OR trend = 1.24, 95% CI = 1.17-1.31, P = 1.03x10 -13 ).

At TEA, the difference between infants with c-PVL and controls was highly significant, and no interaction with PMA was found (left P = 1.08*10 −13 and right P = 2.7*10 −13 ).

Furthermore, statistical analysis revealed a highly significant difference in prediction scores before and after mutation ( P < 1.1 × 10 −13 ), indicating that mutations significantly affected prediction scores in most samples, with the observed reductions strongly correlated with alterations at the CDR3–epitope binding interface.

However, the high similarity within the groups, the large, highly significant difference between groups ( p = 1.1 × 10–13 for LF band, p = 4.5 ×10–14 for LF band) and the high reliability of several clustering approaches strongly indicate that such a bias would not substantially influence our outcomes.

The p -value reported by the Friedman test is still highly significant ( p < 1 ⋅ 10 −13 ), but Shaffer’s static method could only separate the classifiers into two groups.