“highly significant”

Consistent with this idea, plotting eQTL effect size vs MAF in the baboons results in a very strong, highly significant negative correlation (r = −0.723, p < 10 −280 ; Figure 3C ), with no large effect eQTL detected at higher MAFs.

First, a modified t-test reduced the effective sample size to 11,010.13 (df = 11,008.13), yet the corrected test statistic remained highly significant (t = 36.84, p = 3.06 × 10 −280 ).

Moreover, when considering all the genes, we observed a positive correlation between expression change and the change in H3.3 enrichment that is modest, but highly significant (Spearman rank correlation of 0.28, p-value<1e-275) ( Figure 3C ).

Despite all this, 9414 of our predicted interactions are found in the relatively small set of eCLIP experiments, a highly significant overlap considering the 82 proteins and 7381 transcripts present in both eCLIP and cat RAPID datasets ( P -value < 2.2e-271, OR = 1.85, two-tailed Fisher's exact test), therefore increasing our confidence in the predicted network.

Such an overlap is highly significant considering the size of the yeast proteome ( p < 10 -269 by Fisher's Exact Test), indicating that our approach is robust with regard to the gold standard used.

The multivariable robust linear regression model that tested smoking versus methylation at AHRR cg05575921 was highly significant (smoking regression coefficient p = 7.27E-269, r 2 = 0.58; adjusted for age, sex, race, lipids, cell types and batch).

At enhancer sites, CTBP2 peaks, as well as HDAC3 peaks, demonstrated a highly significant overlap with the TRPS1 peaks that we identified in our previous experiments in MCF7 cells ( P = 4.28 × 10 −268 for CTBP2; P = 6.08 × 10 −53 for HDAC3).

Similarly, for sites detected in standard alignment and PAC (but not WASP-filtered data), PAC quantification is highly significant (496 sites, R 2 = 0.956, P = 2.6 × 10 −266 ) ( Fig. 2 A), showing that PAC performs well at sites with lower coverage that may be missed by other approaches.

In total, 568 predicted promoters were found in proximity (≤40 nucleotides) of the putative TSSs, showing a highly significant co-occurrence of predicted promoter and TSS (p-value<10 −263 ).

Statistical analysis using the Kruskal–Wallis test confirmed highly significant differences in expression distributions across regulatory categories ( P = 3.28e−261).

Furthermore, rs2796265 genotypes correlate with a highly significant CD46 mRNA splicing quantitative locus in several tissues: fibroblast ( p = 1.4 × 10 −259 ), oesophagus ( p = 1.7 × 10 −188 ), immortalized B-lymphocytes ( p = 2.1 × 10 −57 ), or brain-cortex ( p = 1.3 × 10 −25 ) ( Figure 4 ). 4.

We found highly significant overlap between the two replicates (p = 7.5 x 10 −257 ) and there was no correlation between the editing frequency of a nucleotide and the number of times that nucleotide was read ( Fig 5B ), suggesting that editing frequency did not simply reflect mRNA abundance.

This overlap is highly significant, as the probability of such an overlap to occur in random is very low (p<10 −256 ). 45% of the 402 overlapped CpG islands are located in intronic and intergenic areas, 6% in promoters and 49% in exons.

A t-test of the distribution of LDA accuracy scores between the pathway-centric versus conventional approaches is highly significant (p<1.0e-255).

Both enrichments are highly significant (χ 2 P < 10 −250 and P = 9.4 × 10 −283 , respectively).

The loci at chromosome 6 at the TREM2 locus, in cis, and chromosome 11 at MS4A locus, showed highly significant association ( P < 1.5×10 -250 ; Table S 4 ) in plasma, indicating shared genetic regulation between CSF and plasma.

The analysis revealed a statistically highly significant distinction ( p = 4.95e-247) between the predicted scores of the causal and non-causal associations (Fig. 3 b).

3 a) SV755331 is localized within LD with rs6889665 exhibiting a highly significant association with recombination hotspot activity (p-value = 2E-246) [ 44 ].

However, in the DNaseI-controlled model, the GATA motif is highly significant (one-sided P =1.2×10 −245 , OR=11.5) for NRSF, suggesting a potential role for this sequence in promoting nearby NRSF binding after the surrounding region is made accessible by pioneer factors.

However, the predicted expression results for the discovery case samples that used the normal thyroid reference data showed a highly significant association ((additive model of linear regression) P =2.99 × 10 −244 , Fig. 2c and Table 2 ).

In support of this, the 4,060 H3K36me3 hypomethylated genes (Additional file 2 ) have a highly significant overlap of 1,084 genes ( P <1e-239) with the 2,158 down-regulated genes in sdg8-5 (Additional file 3 ).

EV4A,B ; Dataset EV8 ) and found a highly significant overlap (OR = 5.72, P value = 9.06 × 10 −239 using all significant genes by JSD magnitude; OR = 14.98, P value = 3.43 × 10 −200 using top 1000 ranked by JSD magnitude for both) between differentially methylated genes identified by JSD in the isolated epidermis and whole skin during aging, supporting the validity of the original data in whole dorsal skin.

The difference between African American and European American in this set was also highly significant (t-test p -value = 7.26x10 -237 ), and remained so when evaluating controls only, as cases may be enriched for fibroproliferative alleles above those in the general population (t-test p -value = 6.38x10 -127 ).

This is a highly significant level of correlation (P = 3.2×10 −233 as determined by hypergeometric distribution analysis) ( Figure 1D ) that validates the biological reproducibility of the system.

A highly significant correlation with a smaller correlation coefficient was also observed among the other (non-training) genes (Pearson’s correlation coefficient: 0.24, p -value = 1.4e-229; Additional file 1 : Fig.