“highly significant”

These proportions were tested by a χ 2 test and were found to be highly significant ( P = 0.00014).

There was a statistically highly significant difference in VAF between common and combined LMs versus syndromes (PROS) ( p value = 1.425 × 10 –4 , Fig. 4 a) and versus CLOVES ( p value = 6.510 × 10 –5 , Fig. 4 b), as well as between common LMs versus syndromes (PROS) ( p value = 6.765 × 10 –5 , Fig. 4 c) and versus CLOVES ( p value = 5.290 × 10 –4 , Fig. 4 d).

When both covariates were included in the model, they demonstrated a highly significant effect ( p = 0.000144), indicating that their combined influence accounted for a substantial portion of the observed heterogeneity.

Adding information for the eight selected SNPs improved performance to an accuracy of 84% (AUC=0.92) and resulted in highly significant performance improvement as calculated by net reclassification improvement (NRI, NRI categorical: P value=1.45×10 −4 , NRI continuous: 2.81×10 −29 ) and integrated discrimination improvement ( P value=7.33×10 −25 ; Supplementary Table S1 ), emphasising the potential of including these genomic markers (see also receiver operating characteristic in Figure 3c ).

Finally, the random effect of mastitis events was highly significant ( P = 1.49E-4), suggesting that variance in CMT results exists between mastitis events.

For the Roseobacter SAGs, the proportion of genes involved in ‘extracellular structure’ (category W) and ‘mobilome: prophages, transposons’ (category X) exhibited a highly significant positive correlation with amino acid sequence variation ( p = 0.00015 and 0.0012, respectively); for the Alteromonas SAGs, the relative abundance of genes involved in ‘cell wall/membrane/envelope biogenesis’ (category M) was highly significantly positively correlated with amino acid sequence variation ( p = 0.0012).

Recapitulating the in vitro data, there was a highly significant inverse correlation between Rab25 levels and pAMPK ( p = 0.00015), pACC ( p = 7.93e−12) and pGS ( p = 0.00001) as well as a positive correlation ( p = 1.34e−9) between Rab25 and pAKT in patient samples.

The association between the AA genotype and single-queen nesting was highly significant (Fisher's exact test, P = 0.00015).

Alternatively, we simply counted the number of genes that had a higher coefficient of variation for the UM state compared to the gbM state; 5357 (or 61.56%) genes had more variable expression among UM epialleles, representing a highly significant deviation from the null expectation of 50% (binomial test, two-sided, P = 1.5 × 10 −4 ).

This SNP was identified as highly significant in the study ( Table 2 from [ 41 ]) and was found to interact with alcohol consumption in European participants (p = 1.5 × 10 -4 ).

The highly significant elevation between SP network proteins (permutation p = 0.000154) suggests that ERC could be used to predict additional SP network proteins.

These effects on theta power included: a highly significant reduction at frontal sites (p = 1.55×10 −4 ) and a marginally significant reduction at parietal sites (p = 0.0499) in Sp4 hypomorphic animals, as well as a slight but significant increase at occipital sites (p = 0.0203) in wildtype animals ( Fig 4B ).

Results: After specialized training of just 6–10 hours, blind participants successfully and actively integrated facial features into cartooned identities in 79±18% of the trials in a highly significant manner, (chance level 10% ; rank-sum P < 1.55E-04).

Statistical analysis using an unpaired one-tailed Welch’s t-test confirmed that this difference was highly significant ( P = 0.000159).

Prevalence for the same age groups was significantly lower in Kutaisi, at 0% ( P = 0.0062), 3.2% ( P = 0.0018) and 5.2% ( P = 0.0017; all Χ 2 test), respectively, and the overall difference in prevalence, 19.3% versus 7.3%, was also highly significant ( P = 0.00016).

This model proved to be highly significant (χ 2 compared to the constant model: 17.51, P = 1.6 × 10 −4 ; table S6).

Results: there was a highly significant decrease (p=0.00016) in TSB, of 1.7 mg/dl in average, the decrease was higher in sickle cell anemia (SS) than in sickle thalassemia, (p=0.03), there was no effect of hemoglobin level and cholecystectomy status on the decrease level.

A linear statistical model of the relative amount of the D1 protein, with the illumination time, dark time and their interaction as explanatory variables, was highly significant ( F (3,26) = 9.883, p = 0.00016; see Appendix S1 for the full characterization of the model) and showed that the lowering of the amount of the D1 protein due to interaction by illumination and subsequent dark time was significant ( p = 0.0485); the negative effect of illumination alone on the D1 protein was not significant ( p = 0.0791), and dark time alone had no effect ( p = 0.997).

These outcomes are propelled by the differences between total ventral and dorsal tissue allocation at gastrula stages: comparison of hPSCs transplanted to early versus late gastrula PS revealed a highly significant shift from ventral to dorsal fates as gastrulation progressed (hiPSC: X 2 , p = 1.6 × 10 −4 ; hESC: X 2 , p = 0), as calculated by summing ventral and dorsal fates for all regions (anterior, trunk, posterior).

For every measure, there was a highly significant overall effect of group (χ 2 [2 df] = 17.4, P = 0.00016 for the measure of V1 thickness; all other measures χ 2 [2 df] > 30, P < 2 × 10 –7 ).

In our study when comparing groups of patients with the same GAA genotypes (see results and Table 1 for details) for disease-free life (Figure 1 ) we observed a highly significant difference (p = 0.000163) for the c.-32-13T > G/c.1927G > A genotype, which showed an earlier age of onset, at any age, compared to other genotypes.

While cumulative smoking exposure was associated with a highly significant increase in circulating alpha-synuclein (SNCA) (ß = 0.0036, p = 0.000165) and caspase-3 (CASP3) (p = 0.04), we observed a concurrent, female-specific upregulation of the proteostatic co-chaperone BAG3 (p = 0.02).

When all absolute raw ITVs (900) were correlated with respective area values a highly significant inverse relationship was observed ( r = - 0.125, p = 0.000169).

When data of lepidosaurs, turtles and crocodylians are combined, a weak but statistically highly significant correlation emerges (area: adjusted R 2 = 0.104, p -value = 0.00017, df=120; length: adjusted R 2 = 0.3373, p -value <0.00001, df = 178; Fig. 4 ).

This established a statistically highly significant association between hyponatremia and hypertriglyceridemia in our ALL cohort (p = 0.00017, Table 2 ).