“highly significant”

Furthermore, although enrichment of RNAs with mitochondrial functions among the Leotiomyceta Puf3 targets was highly significant ( Fig 4B , odds-ratio = 3.9, p = 10 −25 by Fisher's exact test), and the overlap with Saccharomycotina Puf3 targets was also significant (13%, odds-ratio = 3.2, p = 10 −6 by Fisher's exact test), the Leotiomyceta Puf3 target set included only 26 of the 202 Saccharomycotina Puf3 targets that have orthologs in N . crassa and included 87 mitochondrial targets not observed in Saccharomycotina.

Gene Ontology (GO) analysis of the upregulated genes by miR-182 deficiency during RANKL-induced osteoclastogenesis revealed highly significant activation of genes involved in defense response, in particular interferon-β response ( p < 10 −25 , Fig. 4b ).

Nevertheless, the highly significant genetic correlation ( p < 1 × 10 –25 ) implies that the genetic association between MetS and CAVS retains biological importance even within this low heritability context.

However, a few motifs showed highly significant position-specific overrepresentation, with 106 6-mers exhibiting spatial bias at a significance level of P < 1 e –25.

We confirmed a highly significant over-transmission of ASD PRS from parents to probands in multiple datasets (p = 1.4E-25 in the meta-analysis), including the SPARK cohort which has not been previously analyzed (p = 1.0E-11; S1 Fig ).

Body mass index (BMI) showed a highly significant correlation with body composition (TLM: r = 0.68, P = 1.6 × 10 −25 ; ALM: r = 0.64, P = 1.3 × 10 −21 ; SMM: r = 0.66, P = 3.1 × 10 −23 ; BFM: r = 0.91, P = 2.0 × 10 −70 ).

The association between gastrointestinal infections and any psychiatric disorder (ICD-10 codes F00–F99) was highly significant [OR = 2.09; 95% confidence interval (CI): 1.82–2.4, P = 1.87 × 10 –25 ].

Of note, a recent study reporting a highly significant genetic correlation between endometriosis and migraine (r g =0.38, p=2.30×10 -25 ) also implicated TRIM32 as an overlapping gene between the two disorders. 37 The role of TRIM32 as a potential risk variant in migraine, CTS, and endometriosis is yet unclear and requires further study, though it is intriguing to note its association with three disorders that predominantly affect females. 38 – 40 The notion of migraine as a peripheral nerve disorder remains debatable, as it conflicts with longstanding theories of central generation of migraine.

Linkage disequilibrium score regression analysis found a positive and highly significant genetic correlation ( r G = 0.38, P = 2.30 × 10 −25 ) between endometriosis and migraine.

Interestingly, a recent genome-wide association study found a positive and highly significant genetic correlation ( p = 2.30 × 10 −25 ) between endometriosis and migraine and suggested a role for genes involved in interleukin-1 receptor binding, focal adhesion-PI3K-Akt-mTOR-signaling, mitogen-activated protein kinase (MAPK), and tumor necrosis factor-alpha (TNF-α) signaling in the association between these two traits (Adewuyi et al., 2020 ).

A z test was carried out and the differences between the population and expected means were highly significant, ranging from p = 2.34 × 10 −25 down to p < 1 × 10 −250 .

Compared to the 1,925 type I interferon-regulated genes out of 22,971 protein-coding genes within the mouse genome, this is a highly significant enrichment ( P = 2.4 × 10 −25 , hypergeometric test).

All four features showed highly significant differences among classes (duration: H = 143.6, p ≈ 3.0 × 10 −25 ; mean F 0 : H = 220.9, p ≈ 3.4 × 10 −41 ; spectral centroid: H = 255.5, p ≈ 2.0 × 10 −48 ; RMS energy: H = 202.9, p ≈ 1.9 × 10 −37 ), confirming that temporal, spectral, and energy-based parameters all carry strong class-discriminative information.

hypo-methylated DMCs, we observed a highly significant difference in the distribution of hyper- vs. hypo-methylated DMRs with respect to CGIs (Supplementary Fig. 3A, p = 3.22 × 10 − 25 ) and RefSeq genes (Supplementary Fig. 3B, p = 3.22 × 10 − 25 ).

GWAS mapping also detected the QTL on chromosomes 12 (19.3 Mbp) as highly significant (p-value = 3.62E−25).

In terms of the log-scaled distributions of the Ca 2+ event amplitudes, the V1 and M1 neurons underwent drastic upshifts from the anesthetized state to the awake state (V1, anesthetized: μ = 10 −0.46 , σ = 10 0.14 , N = 125, awake: μ = 10 −0.13 , σ = 10 0.35 , N = 430, Wilcoxon rank sum test, P = 4e−74; M1, anesthetized: μ = 10 −0.30 , σ = 10 0.31 , N = 211, awake: μ = 10 −0.03 , σ = 10 0.44 , N = 483, Wilcoxon rank sum test, P = 4e−63), while CA1 neurons underwent a minor upshift that was also highly significant (anesthetized: μ = 10 −0.13 , σ = 10 0.41 , N = 342; awake: μ = 10 −0.04 , σ = 10 0.45 , N = 493, Wilcoxon rank sum test, P = 4e−25).

For the 100 top-ranked exposure-group differentially methylated positions, there was a highly significant negative correlation between exposure-group DNA methylation differences and effect sizes at the same probes for both IQ ( r =−0.82, P =4.48 × 10 −25 , Supplementary Figure 6 ) and ToM ( r =−0.89, P =2.23 × 10 −35 , Figure 3a ).

Omnibus results showed highly significant differences among groups (F > 11) for CSS ( P = 4.549e −25 ), MCS ( P = 6.361e −5 ), SAS ( P = 8.919e −8 ), and SDS ( P = 1.229e −8 ).

Association of FECD grade with TCF4 was highly significant (OR = 6.01 at rs613872; p = 4.8×10 −25 ), and remained significant when adjusted for changes in CCT (OR = 4.84; p = 2.2×10 −16 ).

There was a highly significant overlap of misregulated genes among the datasets as determined by Fisher’s exact test ( p = 4.9e-25 and 5.5e-10, respectively), despite the overall lower number of genes identified by microarray (Fig. 2b ).

The estimated variance of the random intercept was 0.177 (SD = 0.421), and the likelihood-ratio test indicated a highly significant random effect (χ 2 (1) = 106.44, P = 5.9 × 10 −25 ).

CON samples revealed a highly significant global difference in EVA values between CON and DEL progenitors ( n = 94 regulons, 3 sample of each genotype paired t-test p = 5.94×10 -25 ) with EVA( DEL-CON ) values showing a strong bias toward positive values ( Figure 4A ) indicating increased global gene expression variability in DEL compared to CON progenitor populations even in unrelated sets of genes.

We estimated the effect of number of life events on the risk of MDD by logistic regression and obtained a highly significant OR of 1.24 (95% confidence intervals 1.19–1.29, P = 6.49E-25).

With the specialized corpus, however, the paired t-test was highly significant ( p =6.8e-25), demonstrating that the quality of the ‘hybrid topics’ was better than that of the baseline topics.

Although the difference in variance in GC content between HGT and non-HGT trees was highly significant ( P = 7 × 10 -25 by unpaired 2-tailed t-test, n = 100 per sample), the optimal single-variable classifier [ 74 ] gave 21% false positives and 0.5% false negatives.