“highly significant”

The correlation between the inbreeding coefficients and F ROH were also highly significant (F I: r = 0.71, P = 2.20 × 10 −16 ; F II: r = 0.72, P = 2.20 × 10 −16 ; F III: r = 0.83, P = 2.20 × 10 −16 ).

Given this trend, we fitted a logarithmic model to the data, which was highly significant [linear regression F ST ~ log( D a ), P < 2.2 × 10 −16 ; Pearson correlation coefficient, R 2 = 0.96].

Food Deserts: In stark contrast, the food desert index showed a strong and highly significant positive spatial autocorrelation (I = 0.4563, p < 2.2 × 10 −16 ).

This is a highly significant (p < 2.2 × 10 −16 ) excess (see Materials and Methods), suggesting some concordance in signal at the individual gene level.

Our results demonstrate that subtype indicators are highly significant in predicting survival ( p -value < 2.2 × 10 −16 ).

In B to A and no-change category, a significant (Fisher’s test p-value = 0.0564) number of genes were found to be changing gene expression, while the number of genes changing expression in A to B and conserved genome category was found as highly significant (Fisher’s exact test p-value < 2.2e-16) ( Figure 4C ).

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

Remarkably, we found a highly significant increase in entropy in the converging sites of 0.005 increase in entropy per decade of age ( p value < 2.2e −16 ), and a stark contrast with the diverging sites, which significantly decrease entropy with age, and could be considered “anti-entropic” since they become more predictable with age (Fig. 5 B).

Despite major differences in experimental design, including the developmental stage of the worms, the overlap with the single-cell cis eQTLs was highly significant, with 335 cis eQTLs shared between the studies (OR = 7.2, p < 2.2×10 −16 , Fisher’s exact test) ( Figure 3C ).

Direct correlation analysis further revealed that IDO1 expression maintained a strong, highly significant positive correlation with CD8+ T cell infiltration (R=0.64, p =2.2×10 -16 ) ( Figure 3 ).

The overall model including all predictors was highly significant for both, the plaque size in the aortic root and BCA (BCA: F(4, 94) = 37.44, p-value < 2.2e-16 r2 = 0.60; heart: F(4, 81) = 65.09, p-value < 2.2e-16, r2 = 0.75).

The differences in TSSL and SYL values between the OsSYL3 AA and OsSYL3 CC genotypes were highly significant (Welch’s t ‐test, P = 2.20 × 10 –16 ) (Figure 2d ).

The mean values of the non-invasively measured community-wide parameters obtained by DWCP seem to give a valid representation of the actual plant community as indicated by the highly significant positive relationship between the weighted plant biomass removed from sods and the digital biomass extracted from scans (quadratic polynomial regression, p < 2.2e-16, adjusted R 2 = 0.59, see Additional Figure 3 ), supporting results from scans of plant individuals ( Laxman et al., 2018 ).

Those CpG sites mapping to Alu sequences showed a highly significant trend of increasing methylation from the older to younger elements ( P <2.2x10 -16 , ANOVA), with mean methylation levels (b ± standard deviation [SD]) of 0.72±0.21 for Alu J, 0.74±0.18 for Alu S, and 0.78±0.17 for Alu Y.

Comparing these data to that of Lmd revealed that a large (79.7%) and highly significant ( p <2.2×10 −16 , Fisher's exact test) proportion of Lmd direct target genes are also directly regulated by Mef2 ( Figure 1D ).

239.3 cm) compared to Sb, and in both cases differences resulted highly significant ( p = 2.2×10 −16 and p = 2.7×10 −15 for MAT and PH, respectively).

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 ).

Comparison of variance in global methylation between the depressed twin and their unaffected co-twin revealed a highly significant increased genome-wide variance in twins with MDD in both the UK and Australian cohorts ( P < 2.2 × 10 -16 in both datasets).

Notably, 67% of annotated cancer genes are associated with S100A8/A9 target genes, in comparison to only 55% of noncancer genes, which is highly significant ( P < 2.2 × 10 −16 ; Fisher’s exact test) with contributions from ONG ( P = 2 × 10 −8 ), TSG ( P = 2 × 10 −14 ), and OncoTSG enrichment ( P = 6 × 10 −6 ).

Likelihood ratio tests reveal a large, highly significant effect of third chromosome line on phenotypic variation in bacterial load against all four bacteria ( S. marcescens : χ 2 = 128.42, d.f. = 1, P <2.2×10 -16 ; P. rettgeri : χ 2 = 263.88, d.f. = 1, P <2.2×10 −16 ; E. faecalis : χ 2 = 51.533, d.f. = 1, P = 7.04×10 −13 ; L. lactis : χ 2 = 35.391, d.f. = 1, P = 2.70×10 −9 ).

We first assessed the variation in gene expression among the three biological replicate samples for each sex and tissue; the correlation values were highly significant between them all (Spearman's rank correlation coefficients of at least 0.95, p-value<2.2×10 −16 ; Figure S1 ).

There exist only small differences in their declared residence area (zip code), but they are older (median age 35 against 24), more likely men (men proportion 62.9% against 49.9%) and live within the Lyon-Villeurbanne urban area (85.3% against 81.7%, all theses differences are highly significant, p-value <2.2*10 −16 ).

5 a and b) and gene expression was highly significant for both root and leaf (root: R = 0.364, P < 2.2e-16; leaf: R = 0.334, P < 2.2e-16).

For each month, the differences between soil and soil + root for COS and CO 2 were highly significant (Kruskal-Wallis rank sum test – p < 2.2e −16 ), with higher CO 2 and lower COS emissions in the soil + root chambers (except for February) (Fig. 3 ).

Thus, because there are three possible replacement nucleotides per site, WC sites are ∼66% saturated and nWC sites are ∼90% saturated, and this difference is highly significant ( p <2.20×10 −16 , Binomial test; see Materials and Methods for details).