“highly significant”

Testing this in a univariate linear model, we found the association to be highly significant (beta 1.13, p < 1e-7, Fig 4 ).

Similarly, while only a marginal association was seen with parasite density for ABO ( p = 0.01), a highly significant association was seen with plasma Pf HRP2 concentration ( p = 10 −7 , Fig. 2 ).

Additionally, a highly significant difference was observed in the β-cell function across the Chinese diabetic stages ( p < 0.0000001).

A 2-way ANOVA on proportion of correct recalls revealed no main effect of group (F(1,34) = 3.51, p = .065, r = .25), but a highly significant effect of type of Encoding (F(1,34) = 44.45, p<.0000001, r = .75), and a significant interaction between Group and type of Encoding (F(1,34) = 9.14, p<.005, r = .46).

Interestingly, of these 117 genes a clear degradation effect was observed with 94 genes displaying preferential loss of a 3′ probeset and only 23 genes showing loss of a 5′ probeset suggesting highly significant (P < 1 × 10 −7 , repeat random sampling) 3′ degradation.

The median mutation count was lower in the H/L cohort compared to the NHW cohort, with a highly significant p -value ( p = 1.02 × 10 −7 ), suggesting potential differences in genomic instability between these populations.

They were highly significant in the Dutch sample (rs12472355; OR, 1.39, CI 1.23–1.57, p = 1.05×10 −7 and rs919433; OR 1.43, CI 1.26–1.61, p 9.77×10 −9 ), and in the meta-analysis of all three samples they reached genome-wide significance ( Table 2 ).

We found a highly significant positive correlation between these 2 estimators of the pairwise V ST statistic (Pearson's test, P = 1.06e−07; supplementary fig.

GO analysis found that GO:0016236 was involved in autophagy, while KEGG analysis revealed a highly significant ( P = 1.06E-07) new pathway, hsa04216 (ferroptosis), a new cell death pattern associated with iron death.

Furthermore, data from seven studies demonstrated highly significant positive association between telomere length and spirometric measurements including FEV 1 (β=0.0455, p=1.07×10 −7 with fixed and random effects; I 2 =0%), FVC (β=0.0401, p=2.07×10 −7 with fixed and random effects; I 2 =0%), and FEV 1 /FVC (β=0.0238, p=5.27×10 −7 with fixed and random effects; I 2 =0%) 25 .

Interestingly, mass spectrometry analysis revealed that differentiation of Nsd1 -expressing Nsd1 −/− erythroblasts was associated with a highly significant reduction (logFC = −1.96; p < 1.08 × 10 −7 ) of the transcriptional repressor protein SKI previously proposed to interact with and inhibit GATA1 activation, most likely in cooperation with the nuclear co-repressor (NCoR) complex (Fig. 8g, h , Supplementary Fig. 6d ) 43 , 44 .

The highly significant correlation between percentage of reference assembly recovered in end-tagged contigs and the percentage of “reference proteins” annotated (R 2 = 0.98, p -value = 1.096e-07) strongly suggests that contiguity of assembly - rather than fundamental differences in annotation quality by different methods – determines reference protein discovery in this experiment.

After correcting for multiple testing ( p -values ≤ 0.0167 considered as significant), multivariable linear regression models revealed a significant interaction between APOE4 and NFT density regarding the association with pS65-Ub level in the hippocampus (interaction p = 0.0078); though highly significant in both groups, the magnitude of this association was much stronger in carriers of APOE4 (β: 0.66, p = 1.10 × 10 –7 ) than in non-carriers (β: 0.38, p = 1.16 × 10 –7 ) (Fig. 2 a, Supplementary Table 1).

However, during the incubation period, their proportion increased on plant leaves (4–17%) and even highly significant in the case of samples from surrounding abiotic surfaces (0–25%; two-way ANOVA P = 1.1 ∗ 10 -7 ).

In complete contrast, no bias ( p = 0.92, two-sided binomial test) is seen for all multiple-SNP tracts combined, and the difference relative to single-SNP tracts is highly significant ( p = 1.1 × 10 −7 , Fisher’s exact test).

There was only one highly significant gene identified ( ACTG2 ( p = 1.1 × 10 −7 )) from the assembled alleles (Fig. 1 D and Supplementary Table S 5 ).

Indeed, we found a highly significant positive correlation in changes in RNA levels in these comparisons ( Fig. 6 A , p -value < 1.1E-07).

For D8-D1 freezing bouts, the Treatment x Strain interaction was not significant [ F (1, 180) = 2.2; p = 0.14]; however, NAL-trained J mice clearly demonstrated a highly significant increase in the number of freezing bouts relative to SAL-trained J mice [ t (98) = 5.8; p = 1.1 × 10 −7 ] and relative to NAL-trained NJ mice [ t (85) = 4.2; p = 7.0 × 10 −5 ].

PA6 rM content had a highly significant effect on DIC development (Fig. 2 ; 1-way ANOVA; n = 9, g = 3, df = 2; F = 33.59, p = 1.13 × 10 −7 ).

This increase in firing due to heptanal 1% relatively to mineral oil was highly significant (V = 17, p = 1.171*10 −7 and V = 7, p = 3.03*10 −9 ).

The Pearson correlation coefficient for the model predictions versus Months to Progression of -0.75 is highly significant (p = 1.19e-7).

The Kruskal-Wallis test of correlation between genome size and chromosome number was highly significant with p = 1.196E -07 .

Analysis of the previously reported IHC and MSI statuses of these samples ( Table 1 ) confirmed there was a difference in assay concordance between Ohio and Manchester cohorts (18%) that was highly significant ( p = 1.2 × 10 −7 ).

For both phenotype traits, highly significant p -values ( p = 1.2×10 −7 for BMI and p = 4.8×10 −10 for type 2 diabetes) were attained for rs1421085, which belonged to LD cluster 3, while the other assayed SNPs except for rs9941349 showed almost equivalent levels of significant association in Asians ( Table 1 and Table S2).

The relative risk (RR 95%) of having a infection was highly significant: RR = 6,8 (3.314154 -13.95228) (P= 1.235e-07) and also neuroinfections RR = 4,76 (2.043019 - 11.09025) ( P = .00044478) if the child presented MMC wound CSF leakage before VP shunt insertion.