Excerpts

Given that we observe 117 mutations in hypomethylated CGIs, but only expect 50.0 (117*(1/2.34*)) with the genome-wide autosomal mutation rate, this represents a highly significant enrichment (Poisson test, p = 2.2 × 10 −16 ).

CXCL17 was the only chemokine or chemokine receptor in the top 250 most significantly differentially expressed genes and showed a highly significant positive correlation with B7-H4 mRNA expression (Spearman Rho = 0.53; p = 2.2 x 10 −16 ) (Supplementary Figure S8).

Highly significant p -values for both directions (lesser and greater, p < 2.2 × 10 −16 ) were recorded.

Monthly differences were highly significant (Kruskal–Wallis p < 2.2 × 10 −16 ), and this factor exhibited the strongest seasonal component among the three, with a seasonal strength of 33.77%.

Interplatform adjustment led to a highly significant increase in ICC coefficients (median (prior to interplatform adj., only intraplatform adj.) = 0.1; median (after interplatform adj.) = 0.46; P < 2.2 e − 16).

This correlation is also highly significant when averaging polymorphism and divergence within 10-bp adjacent windows ( ρ = 0.50; P < 2.2 × 10 −16 ; fig. 1 ).

The two-way ANOVAs demonstrated highly significant differences between the strains ( Pdyn F 1,216 = 79.25, p = 2.2×10 −16 ; Penk F 1,213 = 60.19, p = 3.54×10 −13 for the strain factor) and a significant interaction of both factors (strain x brain region: Pdyn F 3,216 = 8.79, p = 1.6×10 −5 ; Penk F 3,213 = 5.36, p = 1.4×10 −3 ).

The overall model was highly significant [ F (7, 3,992) = 371.3, p < 2.2 × 10 –16 ] and accounted for approximately 39% of the variance in log-transformed cattle infections.

This shift was highly significant as determined by the Mann-Whitney-Wilcoxon Test ( P <2.2*10 −16 ).

Single marker analysis revealed that NAL1 _4_31214045 had a highly significant association with tiller number ( p < 2.2 × 10 − 16 ) and explained 22.07% of the phenotypic variance (PVE), while OFP19 _5_15069810 showed a weaker but still significant association ( p = 1.99 × 10 − 5 ), with a PVE of 3.65% (Table 5 ; Fig. 6 A, B).

Kruskal-Wallis tests revealed a highly significant increase in CNVs in these epithelial tissues compared with the B cells (P<2.2×10 −16 ), indicating that they could be considered tumor cells.

For example, the Fisher exact test for association between the markers rs3856806 and rs41516544 for both males and females was highly significant (P-values <2.2×10 -16 and 1.102×10 -12 , respectively).

We report a highly significant positive correlation between the exon length and number of homologous exons (Figure 4 , Kendall’s τ = 0.133, p-value < 2.2e-16) suggesting that isolate/species-specific genes tend to be shorter.

However, these correlations were still highly significant ( P values < 2.2e-16 in both Pearson and Spearman correlation tests).

When restricted to people of M/F gender and whose gender was identically recorded in both databases, forename mismatches occurred in 2.37% of females (1727/72,948) and 2.16% of males (1153/53,474), a small but significant difference ( χ 2 1 = 6.0909, p = 0.01359), while surname mismatches occurred in 6.78% of females (4947/72,958) and 2.22% of males (1185/53,484), a highly significant difference ( χ 2 1 = 1392.7, p < 2.2 × 10 −16 ).

Additionally, a Kruskal-Wallis test revealed a highly significant difference in ANI across the three comparison types (χ2 = 6,332.9, df = 2, P < 2.2e – 16).

There was a highly significant correlation (Spearman’s rho of 0.81, p < 2.2 × 10 −16 ) of the PBMC expression changes 6 h after HIIT and HBO 2 ( Figure 5 D).

A Wilcoxon rank sum test indicated a highly significant difference in fitness variation ( W = 3.2 × 10 8 and P < 2.2 × 10 −16 ), supported by Welch’s t test, which showed a lower mean absolute fitness difference for closely related homologs compared to distantly related homologs ( t = −63.5, df = 7,020, and P < 2.2 × 10 −16 ; table S9).

As a positive control for the method, comparison of V H usage between RAG2 + BM and total non-sorted splenic B cells showed an expected highly significant difference (χ 2 test, P =2.2×10 −16 ) ( Supplementary Figure 13a ).

Note that likelihood ratio tests comparing the model results without and with the T1WP correction were all highly significant ( p < 2.2 × 10 − 16 ), probably due to the high number of observations and relatively small number of terms in the model.

2008 ) of LMNA-associated genes identified by ChIP is highly significant ( P = 2.2 × 10 −16 , Pearson's χ 2 test).

The difference was also highly significant ( p < 2.2 × 10 −16 ) when comparing the covariance of within blocks and independently changing environments.

When the test was conducted with results adjusted for cohort, PCs, age, and gender, the over-representation of risk associations remained highly significant ( p value < 2.20 × 10 −16 ).

3C ), with the Kolmogorov-Smirnov test revealing a highly significant difference in the two distributions (p = 2.2×10 −16 ).

The difference in variance across all probes between affected and unaffected twins was highly significant ( P <2.2 × 10 −16 ), with 52.4% of probes having higher variance in cases (binomial P -value<2.2 × 10 −16 ).