Excerpts

The correlation between “correlation coefficients of gene expression levels with reexperiencing symptoms in patients” and “fold change (FC) after retrieval in mice” for the 413 genes was highly significant ( r = 0.49, p = 7.3E-26) (Fig. 3D ).

Of note, a recent study reporting a highly significant genetic correlation between endometriosis and migraine (r g =0.38, p=2.30×10 -25 ) also implicated TRIM32 as an overlapping gene between the two disorders. 37 The role of TRIM32 as a potential risk variant in migraine, CTS, and endometriosis is yet unclear and requires further study, though it is intriguing to note its association with three disorders that predominantly affect females. 38 – 40 The notion of migraine as a peripheral nerve disorder remains debatable, as it conflicts with longstanding theories of central generation of migraine.

47 The most recent GWAS for JT and QT intervals found highly significant associations, respectively, with rs17171731 ( P = 4E-23) and rs1335516 ( P = 1E-43, in very high LD with each other in European ancestry populations), with the AF risk allele associated with longer durations. 48 The GTEx project shows relatively low expression of FAM13B in human left ventricle (median value 5.5 transcripts per million), and no significant left ventricle FAM13B eQTLs are detected.

S3), as well as a highly significant negative genetic correlation between c-intensity and age at menarche (rg = − 0.52, P = 6.72 × 10 −23 ), indicating that genetic determinants of later pubertal onset also favor a slower tempo of growth.

Survival analysis confirmed the highly significant impact of IL-6 (P = 8.56e−23) on the survival of COVID-19 patients and also identified a nominally significant effect of IL-2R on survival (P = 0.0003, Figure S1 , Table S1 ).

Moreover, as anticipated, differences between the mean pH values of the n = 6 participants included in this phase of the study were indeed very highly significant ( p = 9.42 × 10 −23 ), with ranges in their mean values being 5.49–6.37.

The DML overlap between the two cohorts was highly significant ( p = 1.71 × 10 −22 , 8.17 × 10 −33 and 3.13 × 10 −44 in B cell, memory T cell and Naïve T cells, respectively, by hypergeometric tests).

Educational Resources also presented a highly significant effect ( p = 2.8 × 10 −22 ), with a moderate degree of association between categories ( φ c = 0.439), and the same was true for ESAR Facets ( p = 5.15 × 10 −16 ; φ c = 0.366).

Consistent with this hypothesis, there was a moderately strong, but highly significant, correlation (Spearman rank correlation = 0.47, p < 7.2 x 10 −22 , S5 Fig ) between the ConSurf score for a residue and the median yeast assay score for substitutions at that site, with more conserved residues displaying lower median growth.

The median follow-up for T-DXd was 16.2 months; the median PFS was 6.8 months for the T-DM1 groups, while the median PFS had not been reached for the T-DXd group, with a highly significant difference (HR of 0.28, 0.22-0.37, P = 7.8 × 10 -22 ).

This SNP was also highly significant in our analysis ( p = 5.4 × 10 −21 , beta = 0.27 years, effective-allele = G).

The overlaps between the studies were highly significant in most cell types ( P < 10 −20 , hypergeometric test) with the exception of the case of chimpanzee OPCs, because no genes were shared in this case ( SI Appendix , Fig.

For instance, our meta-analysis revealed a clear trend for basophil and NK-cell fractions to increase with age (Fig. 2 a, Stouffer Z = 11, P < 10 −20 for NK and Z = 10, P < 10 −20 for basophils), strengthening preliminary findings from others [ 90 – 93 ].

While the prediction of these algorithms was far from being perfect for each individual RNAi trigger, we found a highly significant correlation (Pearson = 90.6%, p < 10 −20 ) between this algorithm’s scores and our average screen score.

Depression was a highly significant ( P = 1.8 × 10 −20 ) risk factor for AF recurrence after CA (RR: 2.3, 95% CI: 1.75–2.9), supported by suggestive evidence. 39 The mechanism of this association is unclear; however, it has been suggested that depression may be associated with chronic inflammation and can increase sympathetic activit

A highly significant age correlation was also obtained for the ELOVL2 gene (N = 58) (R = 0.887, p = 2.099 × 10-20).

There were highly significant differences in regional grey matter volumes, particularly of mid- and hindbrain structures, such as cerebellum (beta = −9.91E-04, T = −9.26, P = 2.25E-20), pons (beta = −5.63E-04, T = −6.23, P = 4.95E-10) and midbrain (beta = −4.00E-04, T = −5.15, P = 2.67E-07) in gout and high urate (Fig. 2 ).

There was a notable trend toward lengthening of the 3’UTR in cancer cells ( P = 5.59 × 10 −20 ), with COL1A2 emerging once more as the most prominent finding ( P corr =7.48 × 10 −47 , 61% change) (Figs. 3b, c and 4f ).

In the Y-chromosome analysis, we detect previously unappreciated geographic variation across the LBK ( Extended Figure 3 ) (a χ 2 205,42 =183 test for heterogeneity is highly significant at P <10 −19 ), with haplogroup G dominant in the Slovakian, German, and Hungarian LBK; haplogroup C in the Austrian_LBK; and the majority of the Hungary_ALPC individuals with haplogroup I (36%), associated with Mesolithic populations such as those of the Iron Gates regions of Serbia and Romania 20 , 31 .

Comparison of the WP and ACRG subclusters revealed that 67.39% (31/46) of MSS/EMT patients corresponded to the EMT cluster, whereas 73.42% (58/79) of MSS/TP53+ patients associated with the metabolism cluster, contributing to a highly significant statistical correlation between WP subclassification and ACRG subtyping ( P = 4.6 × 10 −19 ) (Tables S4 and S5 , Fig. 3A,B ).

Language Related to Self-experience Could Infer Clinical Symptoms CCA conducted in the training sample revealed a highly significant relationship between language features and the PANSS ( r = .62, P < 10 −18 ; figure 3A ), and those linear combinations of the PANSS subscales and language factors were validated in the testing set ( r = .59, P < 10 −6 ; 3B).

There are higher D2:B6 ratios in the CpG high sequence density regions than in the low, and because there are so many more sites without mutations, the effect is highly significant (p = 4.11e−18), but the increase is much smaller than that found in regions with mutations (mean ratio in high: 0.034, mean ratio in low: −0.001).

The distribution of iHS scores for the entirety of the chromosome 12 iHS values (minus the LRRK2 locus) was bootstrapped and suggested that this cluster was highly significant compared to scores for the rest of the chromosome ( p = 4.50 × 10 −18 ).

Analysis of the gene expression levels in multiple breast cancer cell lines ( Figure 3A , Figure 3—figure supplement 1A ) revealed weak but statistically highly significant correlations between the levels of MEMO1 and TFR1 (p = 4.6E-18), TFR2 (p = 1.8E-14), and PLOD1 (p = 1.8E-33).

The overlap between the target genes of MEIS1 and MEIS2 was highly significant (Fisher’s exact test, OR = 48.3 [23.7–93.2] with P = 4.8*10 −18 for upregulated genes, OR = 172.3 [72.3–387.3] with P = 5.6*10 −20 for downregulated genes).