“highly significant”

Mega‐analysis of the effects of each APOE genotype compared with the ε3ε3 genotype showed highly significant associations for the ε3ε4 ( β = −1.41, p = 7.68 × 10 −8 ) and ε4ε4 ( β = −2.41, p = 3.32 × 10 −3 ) genotypes and suggestive‐effect significance for the ε2ε3 genotype ( β = 0.55, p = 8.26 × 10 −2 ) (Table 1 , Model 1). 2.3 Independent associations of TOMM40 and APOE polymorphisms with BMI Despite moderate LD between rs2075650 and rs429358 (Figure 1 ), bivariate mega‐analysis with these SNPs identified their independent associations with BMI, although their effects became smaller (Table 1 , Model 2).

Other components display moderate to weak correlations (0.40 > r > 0.11), even though most are highly significant (8.4*10 −87 < p < 7.7*10 −8 ) (Table S3 ). 3.4.

The reduction of 6.6 ± 0.8% is highly significant ( p = 7.7E-08).

Most notable is the association between sEPSC amplitude and WCST in the combined SCZ+CON sample, with a highly significant main effect across groups ( P = 7.75E-08, adjusted R 2 = 0.8947) and interaction of sEPSC amplitude with diagnostic group ( P = 1.23E-08).

2008 ) to calculate expression plasticity and found that overall correlation between noise and plasticity is weak but highly significant (rho = 0.14; P = 8E−8).

There were highly significant differences in the levels of Ty mobility among strains encoding heterospecific NUP84 (one-way ANOVA, p = 8.2 x 10 −8 ), and levels of Ty1 mobility were significantly different in strains containing NUP84 S . mik , NUP84 S . kud , and NUP84 S . bay when compared to NUP84 S . cer (Tukey–Kramer method, p<0.05) ( Fig 5A ).

Separate analysis of the deletions and duplications showed a highly significant effect from the deletions ( β = 2.56 cm, P = 8.2 × 10 −8 ).

This revealed a highly significant 1.5 fold increased AD risk in children of FLG -carrier mothers (S1 meta-analysis = 1.50; P = 8.4 x 10 −8 ; Table 3 ).

DOX-OCA (2 μM DOX encapsulated in 5 μg PLGA, 48 h) also induced highly significant cell death of OCI-Ly19 ( p = 8.4 × 10 −8 , n = 5 replicates) ( Figure 4 , Figure S3 shows a representative dot plot illustrating the cell death gating strategy).

Furthermore, 817 genes remained highly significant after stringent Bonferroni correction ( P < 8.5 × 10 −8 ; FDR = 0.0001).

At an FDR threshold of 0.01, all of the solutions were highly significant ( p = 8.5×10 −8 for NGT-EMRN, 7.4×10 −9 for NGT-CMRN, p = 7.0×10 −15 for IGT-EMRN, p = 0.025 for IGT-CMRN, respectively, Mann-Whitney-Wilcoxon test) indicating that the clustering of metabolite changes in the network is highly non-random.

Genome-wide association studies (GWAS) of 55,977 single-nucleotide polymorphisms identified in one or more strains found one highly significant association ( P = 8.78E-08) between a nonsynonymous mutation at codon 481 (H481) of the rpoB gene and increased vancomycin MIC.

Traits with higher heritabilities yielded proportionally more QTLs: the mean heritability of those traits for which at least one QTL was identified was 30.6%, compared to 20.6% for those without QTLs, a highly significant difference (t-test P-value = 8.9x10 -8 ).

However, the difference between the numbers of uniquely mapped reads to each genome was highly significant ( p = 8.95E-08).

In particular, rs7402241 T displayed a highly significant association with worse baseline cognition, approaching genome-wide significance (estimated effect = −0.37, 95% CI −0.51 to −0.24, p = 9.0 × 10 −8 ).

Although subjects differed in their use of the full scale of possible bid values ( Figure 2A ), their preference data was well-described by a logistic regression: a one-sample t-test on the sensitivity of like responses on bid value was highly significant (t(16) = 9.2, p = 9×10 −8 ).

We investigated the cause of the female obesity phenotype and noted a highly significant fat mass increase (P = 9E-08; S4D Fig ), alongside a blood cholesterol increase (P = 4E-05) and high-density lipoprotein levels (P = 0.003) ( S4E Fig ).

Welch’s t -test indicated a highly significant difference in centroid size between sexes (t = −7.14, df = 27.95, p = 9.1 × 10 −8 ), with the 95% confidence interval for the mean difference (female–male) ranging from −11.03 to −6.11.

In addition, they were all highly significant: 4.8448 × 10 −302 < p < 9.1062 × 10 −8 .

In the horse, BIEC2–310909 (rs69041973) was highly significant ( p = 9.27 × 10 -8 ) as shown in Figure 5 .

However, a highly significant difference ( P = 9.4 × 10 -8 ) was observed between the K S distribution of ortholog pairs containing human disease genes, and the K S distribution of pairs not containing disease genes (Figure 1b ).

3.1 Apoptosis in CD8 + T lymphocytes correlates with systemic iron levels In general, a highly significant difference was found between the CD4 + and CD8 + T-lymphocyte subpopulations in terms of the percentages of apoptotic cells (T Test p = 9.4x10 -8 , KS-Test p = 0.000002), with the average apoptosis percentage being 21.8% ±9.9% in CD4 + T cells, and 47.3% ±21.8% in CD8 + T cells.

There was also a strong and highly significant correlation between the D -statistic estimates from the two references (Pearson’s product moment correlation test: P = 9.4 × 10 − 8 , R = 0.895).

In fact, the comparison of Low (L) vs High (H) and Medium (M) vs H serum levels of Ig shows highly significant different allelic frequencies (constantly p < 9.9E-08), only in the population of children.

Statistical analysis carried out on the timing errors, pooled over all subjects after averaging over all repetitions of each condition (four-way ANOVA, 3 [viewing distance] x 5 [ball descent duration] x 2 [figure type] x 6 [character type]), showed highly significant effects of character type ( F 5,1168 = 113.188, P <10 −7 ) and figure type ( static versus dynamic , F 1,1168 = 25.180, P <10 −6 ), less significant effects of viewing distance ( F 2,1168 = 3.602, P <0.05) and of the interaction between character type and figure type ( F 5,1168 = 2.569, P <0.05).