Excerpts

The correlation between total viral genome copies and sub-genomic E gene copies was highly significant ( p = 3.81 × 10 −127 ), but a high level of variance was observed between live viral titres measured by focus forming assay and both total and sub-genomic RNA titres ( Figure 4 a).

Here, the intersection of p63-binding sites and KMT2D-depleted genes was highly significant ( P = 9.75 × 10 −127 ) ( Fig. 3 F; Supplemental Table S3C ).

We also observed a highly significant increase of Prl expression (adjusted P -value = 9.11 × 10 −126 ) in the somatotropes of lactating mice compared with the control (Fig. 5 C).

Compared to size-matched random genomic regions, K122Q-bound enhancers showed highly significant enrichment of the canonical CRE motif (Fold Enrichment=13.7, P =1.0 × 10 -125 ), with 42.5% of enhancers containing the motif versus 3.1% of background regions ( Supplementary Fig. 2 ).

We found a highly significant association (P = 1.0×10 −124 ) of the risk allele at the LIPA locus with LIPA mRNA levels in these cells explaining ∼50% of the variance in the expression of the gene ( Figure 6 ).There were no other highly significant associations between CAD risk alleles and gene expression at the novel loci ( Table S7a and S7b ).

On the contrary, the associations of the rs2519093 with concentrations of sE-selectin and sVCAM-1 were highly significant when adjusted for the ABO blood type (p=3.40×10 −123 and p=3.43×10 −17 , respectively).

[ 19 ], 244 were significantly positively correlated to YAP1 expression in the GSE45547 expression dataset, demonstrating a highly significant enrichment ( Figure 6 B; Hypergeometric test, p = 1.961398 × 10 −122 ).

Though no single pPGS reached the same degree of significance as the gwPGS, interactions were highly significant for multiple pathways, including glycerolipid metabolism ( p = 2.0 × 10 −122 ) and focal adhesion ( p = 2.9 × 10 −60 ) ( Figure 2 A).

We observed a lesser, but still highly significant, overlap between H3K27me3 marked loci and gene body methylation in CIMP-L1 (13.1%; P = 6.11 × 10 -122 ) and CIMP-L2 (8.5%; P = 1.6 × 10 -78 ) cancers, but did not observe any correlation in CIMP-neg cancers, which likely is owing to the scarcity of which gene body methylation occurs in these cancers.

This enrichment was highly significant ( P = 2.35 × 10 −121 ) with an odds ratio of 12.90, indicating that outlier SVs were nearly 13 times more likely to occur within regions of elevated genetic differentiation based on SNPs.

Comparison of Scrib module and PcG mutant RNA-Seq datasets revealed that nearly half of the genes upregulated upon polarity loss are also upregulated in PcG mutant tissues, a highly significant enrichment (p < 6.98e-121, Figure 6C ).

SUPPA2 identified 2576 events from 1482 genes, with a highly significant overlap in differentially spliced genes between the two approaches ( P = 10 −120 ; Supplementary Fig.

Hypergeometric tests revealed that the number of mutations in coding sequence compared with noncoding sequence was higher than expected by chance, suggesting a highly significant enrichment of mutations in protein-coding genes ( P = 3e-120).

1c and 1d ) is highly significant ( χ 2 test-statistic = 548.68; d.f. = 2; N = 1,913; P = 7.2 × 10 −120 ).

Both approaches showed highly significant correlation in determining whole-brain w-score ratios ( r = 0.87, p = 4e−119 and r = 0.66, p = 5.7e−39 for ABIDE I and ABIDE II, respectively; see supplementary materials, Supplementary Fig. 5 ).

Statistical analysis showed that there was a strong and highly significant negative correlation between the rate of change in expression and chimeric frequency (Pearson: r = −0.556, p = 4.69 × 10 −119 ; Spearman: r = −0.601, p = 7.34 × 10 −144 ).

We found that SCNA had a highly significant negative coefficient (coefficient = −0.302, P < 1.16e‐118) in predicting CYT (Table 2 ).

The CytoTRACE score showed a weak but highly significant negative correlation with latent time (Spearman ρ = −0.25, p = 1.9 × 10 −118 ), indicating that, although capturing distinct facets of the transcriptome, the two orthogonal approaches suggested on a common developmental trajectory from mesophyll precursors toward terminally differentiated guard cells ( Tables S1 and S2 ). 3.2.

Results Disease-specific transcriptomes were defined in IBD [8697 transcripts], CD [7152], and UC [8521], with the most highly significant changes in single genes, including CD177 (log 2 -fold change [LFC] = 4.63, p = 4.05 × 10 -118 ), MCEMP1 [LFC = 2.45, p = 7.37 × 10 -109 ], and S100A12 [LFC = 2.31, p = 2.15 × 10 -93 ].

In particular, highly significant genome-wide associations signals were observed in the coding region of the translocase of the mitochondrial outer membrane gene (TOMM40: rs2075650, p = 8.54×10 −116 , OR = 4.48; rs157580, p = 9.6×10 −35 , OR = 0.51 and rs8106922, p = 1.17×10 −25 , OR = 0.57), upstream of the apolipoprotein C-I gene (APOC1: rs439401, p = 8.82×10 −29 , OR = 0.54), inside the poliovirus receptor related 2 isoform delta gene (PVRL2: rs6859, p = 7.87×10 −28 , OR = 1.7 and rs3852861 p = 5.32×10 −11 , OR = 0.64) and between TOMM40 and the APOE gene (rs405509, p = 2.29×10 −27 , OR = 0.57).

We observed a highly significant relationship between the minor and major allele copy-number estimates obtained from LOHHLA and ASCAT (p = 1.36e-115, rho = 0.70, Spearman’s rank test; Figures 1 B and S1 A), supporting the utility of LOHHLA to accurately estimate copy number and LOH.

As a result of calculating the correlation of the TDS scores, correlation values were highly significant ( R =0.859, P <2.2e-115).

Nucleotides For the class of nucleotides, urate showed a highly significant difference with higher concentrations in males (p = 7.04 × 10 −114 ).

Although we cannot rule out the possibility that widespread shallow oscillations persisted, a comparison between the same genes in Ctrl and SCNx groups showed a dramatic and highly significant (Wilcoxon signed-rank test, P = 8 × 10 − 114 ) decrease in amplitude after SCN lesion (Fig. 1 L, left).

What the reviewer fails to mention is that because 32% of genes do change orientation and given a sample size that will make expectations highly significant, the null hypothesis of no change will be rejected by a more significant P value (P = 10 -113 ) by Fisher test, therefore rejecting the WGD model .