Excerpts

The results with GENECONV (Table 1 ) were highly significant (p values < 10 -27 -10 -66 ) between the paralogues of the same species in groups 1, 2 and 3 providing evidence of gene conversion between ancestral sequences of paralogues.

Inception-v4 consistently ranked last, with an accuracy of 87.42% and an AUC of 94.24%, and exhibited highly significant disadvantages compared with all other models ( p < 10 − 27).

Differences between the two groups were highly significant (p = 1.5×10 −27 ).

The discrimination capacity of the model was high (AUC = 0.811) and highly significant ( p = 1.782 × 10 –27 ).

The results of this analysis, following removal of outliers, revealed a highly significant effect of the mutation type (specifically splice-site mutations) on the number of CALs, both with 1 to 5 CALs ( p = 1.8 × 10 −27 ) and 6 to 99 CALs ( p = 8.5 × 10 −43 ), as well as for skin freckling ( p = 0.028) and neoplasms ( p = 0.006).

Association analysis revealed a highly significant association between rs13292899 and NSCL/P risk ( p = 1.85 × 10 −27 ) [ 73 ].

In addition, we identified highly significant missense variants (<5 × 10 −15 ) within the FLG gene (rs558269137, beta = −0.222, p = 1.96 × 10 −27 ) and the KRT1 gene (rs14024, beta = −0.030, p = 3.95 × 10 −15 ).

The samples clustered into two distinct and well-separated classes, and evaluation of the model showed that it was highly significant ( p = 2.3E −27 permutations p = <0.001).

Two-way ANOVA revealed a highly significant difference between the two cell lines ( p = 4.68 × 10−27), indicating a strong overall effect of cell type on the outcome (partial η2 = 0.484).

This difference was highly significant by both parametric (Welch’s t = 11.40, p = 4.98 × 10 −27 ) and non-parametric (Mann-Whitney p = 3.59 × 10 −19 ) tests, with a large effect size (Cohen’s d = 1.14).

Interestingly, we found a highly significant dependency of FCER1A expression on GATA-2 transcript levels (p = 7.8×10 −27 ).

S3A), but the overall altered profile was highly significant ( P = 10 −26 , Fisher exact test in comparison with the ∼8,000 genes expressed).

Figure 5 D illustrates the large degree of overlap between wild-type LD and wild-type DD oscillators, a highly significant (Fisher's exact test p < 10 −26 ) and unsurprising result, considering the extensive program of circadian expression that is detected in combined wild-type LD + DD data ( Figures 2 A, 2 C, 3 A, and 5A).

The model achieved a highly significant separation of the overall survival ( p < 10 −26 , c = 0.65 ± 0.02, Fig. 2 b), with distinct survival trajectories across the three clusters.

A similar analysis performed between populations from Libreville and either of the village and sylvatic LLP areas shows highly significant differences ( p ‐value < 10 −26 for each test; Figure S7 ).

The ANOVA results confirmed that the observed differences in Ct values for COX-IV i1 and COX-IV i2 were highly significant (F(2,83.71) = 132.95, p = 1.04 × 10−26 for COX-IV i1 ; F(2,84.89) = 280.32, p = 4.02 × 10−38 for COX-IV i2 ) (Fig. 3 & Supplementary Fig.

The test revealed a highly significant discrepancy between Google Gemini and the registrar (p = 1.13 × 10 -26 ).

When looking at the subsets created independently for each method, we see a highly significant overlap, with 190 of 231 CHEQ-seq positives being labeled as positives or grayzone in STARR-seq (82.3%, χ 2 P -value = 1.24 × 10 −26 ) ( Fig. 2 B,C).

Indeed, 26% (133 out of 508) of differentially expressed proteins from Cd2ap +/− heterozygotes were also seen in Cd2ap −/− homozygotes, comprising a highly significant overlap ( P = 1.6 × 10 −26 ) ( Fig. 7A ).

Furthermore, X-11244 displays a highly significant genetic association (p = 2.1×10 −26 ) with rs296391, which lies in strong LD in the SULT2A1 gene locus.

Interestingly, after correcting for the effect of potential confounding variables (see Materials and Methods ), we found small but highly significant positive correlations between micronucleus level and several hematological measures; the red blood cells distribution width (RDW, P = 2.55 × 10 −26 , Spearman R 2 = 0.1), the hemoglobin concentration distribution width (HDW, P = 1.63 × 10 −12 , R 2 = 0.04, Spearman), the mean cellular hemoglobin concentration (CHCM, P = 3.14 × 10 −11 , R 2 = 0.04, Spearman), and the measure of blood hemoglobin (measHGB, P = 1.88 × 10 −6 , R 2 = 0.02, Spearman).

A highly significant SNP, S3_45847468 (P-value = 2.99 × 10−26), was detected for PRL using the 3VmrMLM model at the V 1 stage.

By contrast, there was a highly significant main effect of dose (p = 3.5 x 10 −26 ), significant genotype*dose interactions (p = 0.007) and significant dose*session interactions (p = 2.0 x 10− 13 ).

There was a highly significant genetic correlation ( r g ) of FLI with MRI-PDFF within the UKBB ( r g = 0.5345, P = 4.29E−26), whereas full correlation was observed for the same FLI trait between UKBB and UGLI ( r g = 1.0488, P = 8.91E−11), indicating that the estimates (SNP effect size) from the two GWASs are not biased from heterogeneity in ethnicity or environmental exposure in the two cohorts ( Figure 4 ) [ 28 ].

The analysis yielded highly significant results (F-statistic = 119.75, p -value = 4.68 × 10 −26 ), indicating that models do not perform identically and observed differences are unlikely due to chance.