“highly significant”

In single-variant analysis adjusted for age, sex, and the shorter apo(a) isoform, we determined that both PNR alleles were associated with a highly significant Lp(a) decrease (PNR10: β = −14.43 mg/dl, 95% CI: −15.84, −13.02, P = 3.33e-84; PNR11: β = −17.21 mg/dl, 95% CI: −20.19, −14.23, P = 4.01e-29).

Among a set of 477 genes showing estrogen-induced expression in MCF7 cells ( Figure 6D , “E2 induced”), 115 showed loss of expression in response to ELF5-V5, an overlap with a highly significant p -value ( p = 5E−84) and odds ratio (OR = 16).

In aggregate, down-regulation of predicted ceRNA targets was highly significant ( p ≤ 6.0E - 84 for each time point and cell line).

GDF11 and the EGF receptor inhibitor AG1478 regulated a common set of 2466 probes, with a highly significant ( p <10 −83 ) r value of 0.37.

For instance, the enrichment of EGR1 binding sites on hypomethylated regions in excitatory-neuronal subtype mL4 is highly significant (odds ratio: 1.7, Binomial test, p -value = 6.7e-83).

Genome size remained a highly significant predictor of the number of metabolites in the microbial genomes per species ( β = 6.99 × 10 −5 , p = 6.97 × 10 −83 ), indicating that genome completeness does not confound the observed relationship.

The difference was highly significant (p = 8.7E-83, Fisher exact test; OR = 334 [146–864]; Table 2 ) with 79 out of 93 SFTs that were positive (85%) versus only 12 out of 752 STSs (1.6%), thus confirming the transcriptional data.

When comparing IBD genes to non-IBD genes within each tissue group, we observed highly significant differences across all categories: brain tissues ( p = 9.39 × 10 −82 ), GIT tissues ( p = 2.65 × 10 −97 ), and other tissues ( p = 1.17 × 10 −90 ), indicating that IBD-associated genes have distinct expression profiles compared to background genes.

The Wilcoxon rank sum test yields highly significant p-values < 10 −81 for all pairs of years.

The division of the San and Damara forager groups was in line with ADMIXTURE clustering, with highly significant correlations of admixture fractions between methods (Pearson correlation; R = 0.76 and 1.00, P -value = 1.21 × 10 −81 and 3.59 × 10 −13 ; Supplementary Fig. 5a, b ).

The RM-ANOVA revealed a highly significant main effect of NRR was observed (PCC: F = 381.13, p = 1.65 × 10 −81 ; PLV: F = 568.72, p = 2.37 × 10 −93 ), suggesting a strong influence of NRR values on the results.

Remarkably, we observed a highly significant overlap (hypergeometric test, P = 2.44e-81) between the AS genes in smad1 -cKO (121/512) and smad1 -KD (121/660) PGCs (Fig. 7b ), such as ccdc187 (coiled-coil domain containing 187) that is involved in microtubule anchoring and located in the centrosome 51 , mak ( male germ cell associated kinase ) that encodes a serine/threonine protein kinase related to cell cycle regulation 52 , tinf2 ( TERF1-interacting nuclear factor 2 0) that encodes one subunit of shelterin complex involved in distinguishing between telomeres and DNA damage 53 , among others (Supplementary Fig. 7a ).

In late onset AD (LOAD), SNPs near APOE gave highly significant results (e.g., rs2075650, p = 3.2 × 10 −81 ), but no other genome‐wide significant evidence for association was found (Wijsman et al., 2011 ).

SNPs near APOE gave highly significant results (e.g., rs2075650, p = 3.2×10 −81 ), but no other genome-wide significant evidence for association was obtained in the full sample.

A sizeable and highly significant correlation between ingroup reception and ingroup transmission was identified in both conditions (Balanced: OR = 5.56, 95% CI [4.67, 6.65], P = 9.02×10 −81 ; Ingroup-biased: OR = 4.70, 95% CI [3.38, 6.58], P = 8.45×10 −20 ; see S7 Table for details).

Results Monocyte responsiveness to LPS showed a highly significant, negative correlation with blood pressure levels (ρ< -0.4; P<10 -80 ).

Remarkably, an independent identification of the pro‐oncogenic CPGs in the Singapore and LCI cohorts led to a highly significant overlapping between the CPGs identified in the LCI and Singapore cohorts (hypergeometric test, P = 1.5 × 10 80 ; Fig.

We found that an average of 12% genomic content in each Streptomyces encodes biosynthetic gene clusters and that these cluster overlap 40% of GRINS, implicating a highly significant 3.28-fold enrichment ( P = 2.8e-80, two-sided Wilcoxon rank sum test).

Results Remotely sensed data The circular-linear correlation analysis of wind speed and direction revealed a highly significant relationship, whereby stronger wind speeds are more likely to be from a westerly direction (p = 3.27*10 –80 ; Supplementary Information, Fig.

Indeed, both tumour types showed highly significant retention of intron 8 sequences in association with rs700635[C] ( P = 8.3 × 10 −80 and 1.4 × 10 −34 for breast and prostate tumours, respectively; Supplementary Material, Fig.

Statistical Significance of Circuit Category Effects One-way ANOVA on proof generation times across the seven non-ECDSA circuits reveals highly significant differences ( F = 355.0 , p < 10 − 79 ), with circuit type explaining 94.1% of variance ( η 2 = 0.941 ).

In the whole dataset, eight highly significant recombination breakpoints were identified in the genomes of the four variants cited above ( p -values < 10 −79 , Table 4 ).

There was a highly significant overlap (p=1.2 × 10 -79 , n=113) between the differentially expressed genes from the two tissue types, indicating that the tissues respond to oncogenic Ras with both common and tissue-specific transcriptional responses.

This analysis confirmed a highly significant main effect of NB stimulation (two-way ANOVA, F (1,70225) = 335.7, p = 3.7 × 10 −79 ). α Power computed in this was significantly lower under NB stimulation than control for each of the task epoch conditions (Tukey’s post hoc test, p < 0.05 for each of the fixation, stimulus1, delay1, stimulus2, delay2 periods).

As shown in Table 1 , the PGF levels are higher in the Denmark sample (median ± interquartile range, sd: 15.9±4.9 in Denmark vs 12.2±4.7 in Cilento) and the difference is highly significant (p = 3.9×10 −79 ) (see Figure 2 ), as assessed with a multivariate analysis taking into account the effect of age, sex, menstruation, and smoking and using the Cilento age-matched sample.