While sample size used for this analysis is fairly small (due to the exclusion of netted and orange or green rind accessions), the strongest genome-wide effect that we found for this trait, on chromosome 10, was still marginally significant at FDR30% (P = 4 × 10 −5 , MLM).
Excerpts
Within the transfected FH-MC-LDLR population, the suppression elicited by free sterols was extremely significant when compared to Lovastatin ( p = 0.00004) and significant with regards to the ethanol control ( p = 0.02).
showed a trendp = 4.2 × 10 −5
Another correlated SNP in the same region (rs269101, r 2 = 0.42 in 1000 genomes phase3 Finnish individuals) showed a trend toward association in our GWAS ( p = 4.2 × 10 −5 ) and in the replicate ( p = 0.054), further supporting the result.
We also re-ran the model, including average mean diffusion in the TBSS-derived skeleton as an additional predictor, which had minor effects on the results, reducing the p-value for atrophy slightly (0.031), while retrieval activity was still highly significant ( p = 4.46 e −5 ) and R 2 (adjusted) = 0.237.
For the plastic bag-samples, a highly significant difference between the reference material and the two obtained samples (plastic bag-metal and plastic bag-no metal) was observed (1-way ANOVA, F = 12.9, p = 4.5 × 10 −5 ), while the means of the two plastic samples showed no significant difference (post-ANOVA Tukey-test, p adjusted = 0.11).
The P-value is highly significant when corrected for multiplicity (207 sites, Bonferroni corrected P-value = 4.6e-5).
approached significanceP < 5 × 10 −5
There were two SNPs in the serum IgG analysis, one SNP in the total protein analysis, four SNPs in the globulin analysis, four SNPs in the ZST analysis, one SNP in the specific gravity analysis and three SNPs in the crude illness analysis, which approached significance ( P < 5 × 10 −5 ) (Table 3 ).
Across the significant surprise effects, this yielded a highly significant positive correlation (r = 0.75, p < 0.00005; Fig. 2C ).
The difference between the survival curves for of the high and low risk phenotypes is highly significant (p < 0.00005).
Also, all the other measures showed clearly significant results resembling the associations with the ACarPA status (all p < 5.7 × 10 –5 , Supplementary Table S3 ).
The difference for DCH prevalence was statistically extremely significant (p-value = 0.00006, OR = 4.04005, CI95% = [1.96601; 8.30211]) when compared animals from collection A and collection B (Fig. 1A ).
Predictive value of biomarkers and clinical variables on cumulative ICU survival ICU survival at 28-day was associated with highly significant values of IL-1RA serum levels ( P = 0.00006, HR 1.31, 95% CI 1.15–1.50) and SOFA score ( P = 0.001, HR 1.18, 95% CI 1.07–1.30) in septic patients.
Three such modules (red, ivory, and light yellow) showed highly significant correlation with the MeJA treatment (Pearson r = 0.75—0.88; p = 6.04E−05–2.03E−09; Fig. 6 A; Supplementary Table S7 ).
An extremely significant increase was detected throughout the day’s 14 ( P = 0.00007, 0.0001, and 0.0008) and day’s 28 ( P = 0.000, 0.000, and 0.0001) of period studied in all present treated groups (Pro 4, Pro 7 and mixture of Pro 4 and Pro 7 strains respectively) compared to untreated group.
Abundance estimates provided by RepeatMasker showed highly significant positive correlation with those yielded by RepeatExplorer in both the Southern (Spearman r s = 0.84, N = 15, P = 0.000074) and Northern (r s = 0.97, N = 17, P < 0.000001) lineages.
Only one of the 1089 ligand/receptor screens for these dRy variants was positive, in contrast to 102 of 8815 screens for sequences having this Arginine, which is a greater than 12-fold enrichment and highly significant (hypergeometric p-value = 8 × 10 −5 ; Table S4 ).
The dissimilarity metrics, measured separately with Bray-Curtis, Jaccard, and Jensen-Shannon (JSD) indices with 10,000 permutations, were all highly significant (PERMANOVA, p = 9.999e-05), representative of the centroids being different between the two groups.
A paired t-test again showed this difference to be highly significant (p < 0.0001).
While both monotherapies induced a modest increase in CD69 expression, the combination treatment led to highly significant upregulation compared with the vehicle ( p < 0.0001 for CD4+, p = 0.0005 for CD8+, Dunn’s test).
Lead treatment had a highly significant effect ( P < 0.0001) in chlorophyll a, with lower concentrations observed at higher lead doses.
Hematology The GD0 group exhibited a highly significant ( p < 0.0001) increase in Hb levels, with a change of 3.70% compared to the control.
The gene expression levels of these genes were analysed for their correlation with IHTG, which revealed highly significant correlations (p < 0.0001; Fig. 5a,b ).
According to Table 3 , the model was highly significant ( P < 0.0001), and the lack of fit was not significant ( P > 0.05), which indicated that the regression equation was a good fit and the selected model was appropriate.
The test revealed a highly significant effect ( P = 0.0001) of elevation on the community structure of mayflies, explaining 15.6% of the variance in species composition across the 31 sampled sites (Supplementary Table S2 ).
1 \documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$\begin{aligned} Y & = - 1361.23 + 47.44A + 61.81B + 35.33C \\ & \;\;\; + 8.93D - 0.21AB + 0.06AC + 0.057AD \\ & \;\;\; - 0.87BC - 1.82BD - 0.075CD - 8.70A^{2} \\ & \;\;\; - 1.32B^{2} - 0.25C^{2} - 0.03D^{2} \\ \end{aligned}$$\end{document} Variance analysis of the model coefficients (Table 5 ) indicated that the model is highly significant ( p < 0.0001), with a non-significant lack-of-fit term ( p = 0.125), suggesting a good fit between the model and the experimental data.