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 ).
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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).
Consistent with observations that YY1 is a cofactor of CTCF for X-chromosome inactivation ( 73 ), there is a highly significant overlap between boundaries bound by CTCF and YY1 ( n = 534; P ≤ 10 −113 hypergeometric test) suggesting the possibility of synergistic action between these two factors.
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 .
There were 1,247 in common diseases between the predicted set and text mining hits, representing a highly significant proportion as assessed by hypergeometric test (p = 6.33e-113) (Fig. 4 d; Additional file 7 : Table 3).
P values were highly significant ( P <1 × 10 −112 ).
The coefficient of linear correlation between the input and output signals was r = 0.9421, and it was highly significant ( p = 1.46 × 10 –111 ).
Pan‐cancer, the correlation dropped from ρ = 0.52 to a lower, but still highly significant value of ρ = 0.24 ( p = 4.5E‐111) after the control for proliferation.
RNA‐sequencing data further supported these findings, showing a highly significant ( p = 1.22e‐110) increase in HGFR expression in CRC samples relative to normal samples from non‐cancerous patients (Figure 1C ).
Using a subset of 19 metrics, MANOVA analysis revealed the there was a highly significant difference in the structure and dynamics of the plant ER under these treatments (Pillai’s trace, F (72,648) = 17.5, p = 2.7 × 10 −110 ; or Roy’s largest root, F (18,162) = 36.7, p = 7.9 × 10 −48 ).
Meta-analyses of cis -eQTLs for brain-related traits show at least one variant in the ANKDD1B gene to be highly significant in the cortex ( P = 3.18×10 -110 ; Table F in S1 Table ) and nominally significant in the hippocampus ( P =.003; Table G in S1 Table ) [ 26 ].
Therefore, we calculated the statistical probabilities of two-way overlap between exosome and CP190, BEAF-32 or CTCF sites by hypergeometric tests considering only active TSSs of all annotated gene isoforms and indeed observed highly significant overlap over expectation ( P < 3.7 × 10 − 110 for each comparison).
Two loci stood out with highly significant p -values, on chromosome 19 (lead rs58542926, p = 4.4 × 10 −110 ) and chromosome 22 (lead rs738409, p = 2.8 × 10 −161 ), both identified in the GWAS on liver fat.
In addition, although the fold enrichment has a decreasing trend as we consider more vQTLs in the analysis, we still observed substantial and highly significant GxE enrichment even in the top 15% of vQTLs for PA (fold enrichment = 1.66, P = 4.0e-109) and SB (fold enrichment = 1.51, P = 1.5e-87), suggesting pervasive GxE interactions between SNPs associated with BMI variability. vPGS Predicts Population-Level and Within-Individual Variability of BMI.
Since the A and flanking C1 and C2 exons constitute only a small portion of the coding genome (∼10 million nucleotides as per our dataset), this enrichment is highly significant as revealed by a Chi-square test (P<1.99e-108), when comparing the ratios of driver vs. passenger mutations in alternative splicing neighborhoods as compared to the rest of the exome.
As anticipated, lipid ratios capturing PUFA synthesis, namely PE(P-16:0_18:2)/PE(P-16:0_20:4), PE(P-18:0_18:2)/PE(P-18:0_20:4), PE(P-16:0_18:3)/PE(P-16:0_20:5) and PE(P-18:0_18:3)/PE(P-18:0_20:5), exhibited highly significant associations with FADS1/FADS2/FADS3 loci [575 SNPs; top hit: rs174564 for the PE(P-18:0/18:2)/PE(P-18:0/20:4); imputation r 2 = 0.999; beta = 0.49; p-value = 8.07 × 10 −107 ; p-gain = 2.60 × 10 +83 ].
We found that 48% (237/489) of Hoxa2-regulated genes had at least one Hoxa2-bound region assigned to them, which represents a highly significant enrichment compared with all genes ( P = 1.1 e –106) ( Figure 4 A).