“highly significant”

The correlation between “correlation coefficients of gene expression levels with reexperiencing symptoms in patients” and “fold change (FC) after retrieval in mice” for the 413 genes was highly significant ( r = 0.49, p = 7.3E-26) (Fig. 3D ).

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.

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.

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.

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.

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.

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 ).

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).

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.

A contingency table analysis revealed a highly significant difference in genotype frequencies at the MC1R mutation site c.361G > A between the LSB and LSS populations (Fisher’s exact test, P = 8.268 × 10 –25 ).

Second, genome-wide comparison indicates a highly significant inverse association of human-specific rearrangements with methylation levels (Kolmogorov-Smirnov test, D max = 0.23, p≈10 −24 ) ( Figure 1B ).

We detected 16 putatively imprinted genes, of which 8 were also found Baran et al using a much larger sample size, a highly significant enrichment (OR = 4,049; P < 10 −24 ).

Firstly, as the source of this signature, the brown module’s gene set showed a highly significant enrichment in core processes such as the B cell receptor (BCR) signaling pathway (P=1.09e−24) and B cell activation (P=4.07e−17) in detailed pathway analysis.

Both the DLCV error as well as the error on the validation set show a highly significant correlation with the number of artificial datasets that is pooled, Pearson correlation of -0.91 ( p = 1.1 e - 24) and -0.95 ( p = 1.4 e - 31), respectively.

A test of homogeneity for the core matrisome proteins revealed a highly significant difference between native and dECM livers (χ 2 = 109.91, P = 2.76 × 10 −24 ), indicating that the relative abundance of core ECM components was markedly altered following decellularization.

The observed correlation had a very high positive degree and was highly significant (R = 0.95, p-value = 3 × 10 -24 , see also the regression plot in Supplementary Fig.

disease controls were highly significant (P = 3×10 −24 ).

briggsae AF16 ↔ HK104), Ts/Tv had a narrower range from 1.01 to 1.42 though the variation was highly significant ( P = 3.3 × 10 − 24 , X 2 test), primarily due to the unusually low ratio in the N2 ↔ CB4856 SNPs.

Seventy three of the core response genes to MAB were also identified as part of the core response to MTB (Additional file 6 : Table S3), representing a highly significant overlap ( P < 5.482e-24, hypergeometric test) and suggesting a conserved role for type-I IFN responses across diverse mycobacterial species.

A chi‐squared test between treatment groups and gel categorization scores found a highly significant association between these two categorical variables (chi‐square test, p ‐value = 6.53 × 10 −24 , Figure 6 ).

While rs2647044 ( P = 3.85×10 −20 ) was still highly significant, rs9357152 ( P = 7.28×10 −24 ) became the most significantly associated SNP when the effects from the known HLA high-risk genotypes were accounted for in the logistic regression model.