“highly significant”

All correlations are highly significant (p < 1.0E-40).

All differences in the prevalence of deafness between each endpoint were highly significant with all p < 10 −40 .

(A) motifs that are highly significant (Benjamini-Hochberg corrected p < 10 −40 , odds ratio > 10) are listed here.

Notably, dipeptides, such as Val-Glu and Met-Gln, showed highly significant values in AP ( p -value > 10 −40 ) ( Figure 3 ).

The SEA output includes an output ranking the proposed target/query interaction by probability (significant, p ≤ 10 –15 ; highly significant, p ≤ 10 –40 ) and by similarity score to an annotated compound/drug (Tanimoto coefficient, max Tc ≥ 0.40, max Tc 1.0 = exact match). 14 The SEA output ( Fig. 5 ) for our hit compounds was potentially informative in identifying additional potential targets for our most potent hit, niclosamide (KCNMA1 and TMPRSS4), as well as GSK-650394 (CAMKK2, AXL, RIPK1).

The PSs for TG (30 SNPs), LDL-C (28 SNPs), and HDL-C (60 SNPs) explained a relatively small, but highly significant, proportion of the variance (5.6 % [F = 157, P = 1.7 × 10 −40 ], 3.1 % [F = 99, P = 6.2 × 10 −27 ] and 5.1 % [F = 164, P = 1.1 × 10 −36 ]; Additional file 6 ) and were not associated with confounders (Additional file 7 ) with the exception of the HDL-C PS, which was associated with confounder neutrophil counts ( P value = 1.8 × 10 −2 ).

Category II SNPs (SNPs with less functional evidence than Category I) also showed highly significant enrichment for low P-values (fold enrichment 1.42; P = 2.60e-40) ( Table 3 ).

We found a large (n = 98) and highly significant (p = 2.8e−40) overlap between the splicing events regulated by QKI and RBFOX2 ( Figure 4 D).

When we compared the expression of all genes located within regions with significantly altered compartment scores, we observed a highly significant trend towards an increase in expression of genes with an increased compartment score and vice versa (Fig. 7a , top right; p = 2.99e-40).

Intima-Media Thickness and Genetic OAG Risk First, we validated the association between the OAG-GRS and OAG, which was highly significant ( P = 4.8 * 10 −40 ), with an OR of 2.44 (95% CI = 2.13–2.78) for each standard deviation increase in OAG-GRS.

The overlap with Day 5 WT transcriptome was also highly significant: 55% (1413/2548, p < 5.1e−40) and 42% (1069/2548, p < 3.4e−72) for SPO11‐UP and HTP3UP gene lists, respectively (Figure S4A–C , Table S7A ).

This positive association is highly significant when compared to the whole population ( P = 7e‐40).

The difference in fit of the 13 models was highly significant ( p = 8 × 10 −40 , ANOVA), but there was no significant difference in the fits of the five top models, all of which incorporated a perseverative learning mechanism: Perseveration/Reward-learning model (PR model, ref. 36 ); differential forgetting Q -learning 33 ; ideal observer with perseveration (see Methods); ideal-observer Bayesian filters with perseveration for either a generic probabilistic reversal-learning task (see Methods), or a generic drifting reward probability task 37 .

The mean Pearson correlation between speed and HθWP after SAL and CNO injection were 0.44 ± 0.04 and 0.36 ± 0.07, respectively, reflecting a highly significant correlation in both cases (mean p < 10 −39 ).

In continuous light, there was a highly significant correlation between sister cell generation times ( R = 0.87, P < 1 × 10 –39 , Fig. 4c ), suggesting that the observed variation in generation times across all cells was not entirely stochastic.

There was a highly significant trend in increased risk associated with BMI categories of ≥25 to <30 and ≥30 ( P = 1.4 × 10 −39 ).

RNA sequencing and allele expression imbalance (AEI) analysis of OS and matched healthy control samples revealed a highly significant AEI ( p = 2.14 × 10 −39 ) for SNPs in the BIRC3-YAP1 locus on pig chromosome 9.

A highly significant reduction ( p = 2.3 × 10 –39 ) in the number of Candida colonies was observed in the treatment arm when comparing pre- and post-study results.

The total GRS based on 80 known index SNPs showed a highly significant association with T2D (OR 1.07 [95% CI 1.06–1.08] per risk allele; P = 2.31 × 10 −39 ) ( Table 2 ).

Comparison of mean firing rates of responsive single neurons for the best location of each neuron in each training phase, after subtracting baseline activity, revealed a highly significant difference between stages (Fig. 3b ; 1-way ANOVA test, F 3,531 = 72.4, p = 2.87 × 10 −39 for the cue period, F 3,531 = 21.93, p = 2.12 × 10 −13 for the first delay period).

There was a highly significant correlation between relative amounts estimated based on OTU counts and on raw reads data (Pearson c = 0.9947; p = 3∙10 −39 ; Supplementary Figure 3 ).

falciparum ’s large proteins displayed unique and parasite-specific annotations, with a highly significant presence of host cell binding functions ( P = 3.21e−39) compared to the rest of the proteome.

The results of the test were highly significant ( P = 3.41 × 10 −39 ; Fig. 4c, d ), proving that there is a strong relationship between the data-driven GGM and the known IgG glycosylation pathway.

S4b ), we found a highly significant peak on chromosome 17 (Fig. 6a , Supplementary Data 5 and 6 ) where the lead variant was an intergenic SNP upstream of the BMP2 gene (chr17:15643342:C>T, P = 3.45 × 10 − 39 ).

IPA upstream analysis estimated module-specific upstream regulators, including transcription factors (Table S2 ), and suggested that the transcription factor MITF was activated in co-module #12, which was highly significant among co-modules (IPA overlap p-value = 6.91E-39, Fig.