“highly significant”

The difference in occurrence of the 295C allele in probands with triphalangeal thumb (3/5), compared with controls (0/381), was highly significant ( P = 1.05 × 10 −6 , Fisher's exact test).

These correlations were strong and highly significant (r s >0.5, p-value <1.05E-06).

Image-based HSPC fractions showed highly significant concordance with the clinically determined peripheral blood (PB) blast percentages ( p < 1.06 −6 ; Supplementary Fig. 2d, e ).

The test showed a highly significant difference in median slopes ( H = 27.50, P = 1.07 × 10 −6 ; Extended Data Fig. 1 ), indicating that the slope populations of the three elevation zones are statistically distinct.

Similarly, 25% MCL showed a highly significant increase compared to 10% MCL (mean difference = 13.579, p = 1.07 × 10−6).

RESULTS AND CONCLUSION This preliminary study showed a highly significant association of DRB1*08:02 with BI-Pro ( P = 1.09 × 10 −6 , corrected P [ Pc ] = 1.96 × 10 −5 , odds ratio [OR] 25.17, 95% confidence interval [CI] 7.98–79.38).

50%; one-sample t-test for Self retrieval: p = 10 −6 ; one-sample t-test for Semantic retrieval: p = 3.10 −5 ), and the paired t-test between the two conditions revealed a highly significant difference (self reference > semantic; p = 1.10 −6 ).

Conditional analyses on rs17366743 and rs6773957 yielded highly significant results for rs17366653 ( P < 1.1E−06 in GEMS and P < 2.0E−09 in CoLaus), indicating its effect is independent of the other two significant associations in the gene.

Linear mixed modelling revealed a highly significant effect of PTT on the DPOAE level (r = −0.82, p = 1∙10 −6 ), but no effect of frequency (r = −0.15, p = 0.90).

As we anticipated, Geminin staining was strongest in the region closest to the surface, and we found a strong and highly significant correlation between these results and those obtained from SPoRTS analysis of rFUCCI-expressing spheroids (Pearson’s r 2 adj = 0.9979, p = 1.1e−6; Figure 5 D).

Criteria such as high levels of missing data (SNP call rate < 98%), highly significant departures from Hardy-Weinberg equilibrium ( P < 1.10–6), or low Minor Allele Frequencies (MAF < 1%) were used to determine which SNPs to include in the imputation step.

This ratio is highly significant ( P =1.1×10 −6 ) ( Figure 2 ).

The quadratic model was a highly significant fit (P = 1.1×10 −6 ).

However, the interaction between the tile dandelion density and the average dandelion density was highly significant ( p = 1.12e‐06), indicating that the effect of the local dandelion density strongly depends on the average dandelion density at the quadrat level (Figure 4b ).

As shown in Figure 5c , Kaplan–Meier curves showed a highly significant difference in relapse-free survival between the two groups (P value = 1.17e − 06).

For older human subjects, the average glycogen content was 3.5-fold higher and was highly significant (one-sided t-test, p = 1.2 × 10 −6 ) ( Figure 3 a).

For older human subjects, the ratio between the signals from PAS stained regions and cell areas showed that the average glycogen content was 3.5 times higher and this difference was statistically highly significant (one-sided t -test, p = 1.2 × 10 –6 ).

The genotype‐by‐density interaction was highly significant, indicated by both the chi‐square test (ΔAIC = 7, p = 1.25E‐06; Table 2 ) and the crossover reaction norms in Figure 2 , with 7.6% of the genetic variance being due to this interaction effect.

Only the main effect of germination conditions was highly significant (F (2, 51) = 17.952, p = 1.25e-06).

The difference was highly significant ( P = 1.28x10 -6 ).

The correlation was highly significant with the correlation coefficient rs = − 0.07, p = 0.00000129 (Fig. 1 ).

When combining samples carrying the four co-susceptibility alleles A29, A30, A31, and A33, we found a highly significant enrichment in BSCR cases when compared with the larger control cohorts (GHS cohort 1, P = 1.29E-06; GHS cohort 2, P = 1.07E-06; UKB, P = 9.62E-07) ( Table 1 , top row).

Incorporating domain specific feature extraction further improves its performance to an AUC of 0.855, which is highly significant (p = 1.3E-06).

Non-parametric comparison of median MOR between these two groups showed highly significant differences (p < 1.3 × 10 −6 ) (see Supplementary Table S5 ).

Within the Detected group, the difference between global methylation levels in PLWH and SN was highly significant at Visit 2 (post-HAART, p = 1.3 × 10 −6 ; Welch’s t -test comparing mean CpG values in each PLWH group to their matched SN controls), while within the Undetected group, the mean difference in global methylation between PLWH and SN and the significance ( p = 0.015) were diminished. 3.3 GREAT functio