Linkage disequilibrium score regression analysis found a positive and highly significant genetic correlation ( r G = 0.38, P = 2.30 × 10 −25 ) between endometriosis and migraine.
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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.
Interestingly, a recent genome-wide association study found a positive and highly significant genetic correlation ( p = 2.30 × 10 −25 ) between endometriosis and migraine and suggested a role for genes involved in interleukin-1 receptor binding, focal adhesion-PI3K-Akt-mTOR-signaling, mitogen-activated protein kinase (MAPK), and tumor necrosis factor-alpha (TNF-α) signaling in the association between these two traits (Adewuyi et al., 2020 ).
A z test was carried out and the differences between the population and expected means were highly significant, ranging from p = 2.34 × 10 −25 down to p < 1 × 10 −250 .
Compared to the 1,925 type I interferon-regulated genes out of 22,971 protein-coding genes within the mouse genome, this is a highly significant enrichment ( P = 2.4 × 10 −25 , hypergeometric test).
The association of rs4803217 with sustained virological response (defined as absence of detectable HCV RNA in serum at least 24 weeks after discontinuation of treatment) was extremely significant (p = 2.48 ×10 −25 ) in the European-American population ( Table 1 ).
All four features showed highly significant differences among classes (duration: H = 143.6, p ≈ 3.0 × 10 −25 ; mean F 0 : H = 220.9, p ≈ 3.4 × 10 −41 ; spectral centroid: H = 255.5, p ≈ 2.0 × 10 −48 ; RMS energy: H = 202.9, p ≈ 1.9 × 10 −37 ), confirming that temporal, spectral, and energy-based parameters all carry strong class-discriminative information.
hypo-methylated DMCs, we observed a highly significant difference in the distribution of hyper- vs. hypo-methylated DMRs with respect to CGIs (Supplementary Fig. 3A, p = 3.22 × 10 − 25 ) and RefSeq genes (Supplementary Fig. 3B, p = 3.22 × 10 − 25 ).
GWAS mapping also detected the QTL on chromosomes 12 (19.3 Mbp) as highly significant (p-value = 3.62E−25).
In terms of the log-scaled distributions of the Ca 2+ event amplitudes, the V1 and M1 neurons underwent drastic upshifts from the anesthetized state to the awake state (V1, anesthetized: μ = 10 −0.46 , σ = 10 0.14 , N = 125, awake: μ = 10 −0.13 , σ = 10 0.35 , N = 430, Wilcoxon rank sum test, P = 4e−74; M1, anesthetized: μ = 10 −0.30 , σ = 10 0.31 , N = 211, awake: μ = 10 −0.03 , σ = 10 0.44 , N = 483, Wilcoxon rank sum test, P = 4e−63), while CA1 neurons underwent a minor upshift that was also highly significant (anesthetized: μ = 10 −0.13 , σ = 10 0.41 , N = 342; awake: μ = 10 −0.04 , σ = 10 0.45 , N = 493, Wilcoxon rank sum test, P = 4e−25).
For the 100 top-ranked exposure-group differentially methylated positions, there was a highly significant negative correlation between exposure-group DNA methylation differences and effect sizes at the same probes for both IQ ( r =−0.82, P =4.48 × 10 −25 , Supplementary Figure 6 ) and ToM ( r =−0.89, P =2.23 × 10 −35 , Figure 3a ).
Omnibus results showed highly significant differences among groups (F > 11) for CSS ( P = 4.549e −25 ), MCS ( P = 6.361e −5 ), SAS ( P = 8.919e −8 ), and SDS ( P = 1.229e −8 ).
Association of FECD grade with TCF4 was highly significant (OR = 6.01 at rs613872; p = 4.8×10 −25 ), and remained significant when adjusted for changes in CCT (OR = 4.84; p = 2.2×10 −16 ).
There was a highly significant overlap of misregulated genes among the datasets as determined by Fisher’s exact test ( p = 4.9e-25 and 5.5e-10, respectively), despite the overall lower number of genes identified by microarray (Fig. 2b ).
The estimated variance of the random intercept was 0.177 (SD = 0.421), and the likelihood-ratio test indicated a highly significant random effect (χ 2 (1) = 106.44, P = 5.9 × 10 −25 ).
CON samples revealed a highly significant global difference in EVA values between CON and DEL progenitors ( n = 94 regulons, 3 sample of each genotype paired t-test p = 5.94×10 -25 ) with EVA( DEL-CON ) values showing a strong bias toward positive values ( Figure 4A ) indicating increased global gene expression variability in DEL compared to CON progenitor populations even in unrelated sets of genes.
We estimated the effect of number of life events on the risk of MDD by logistic regression and obtained a highly significant OR of 1.24 (95% confidence intervals 1.19–1.29, P = 6.49E-25).
With the specialized corpus, however, the paired t-test was highly significant ( p =6.8e-25), demonstrating that the quality of the ‘hybrid topics’ was better than that of the baseline topics.
Although the difference in variance in GC content between HGT and non-HGT trees was highly significant ( P = 7 × 10 -25 by unpaired 2-tailed t-test, n = 100 per sample), the optimal single-variable classifier [ 74 ] gave 21% false positives and 0.5% false negatives.
A contingency table analysis revealed a highly significant difference in genotype frequencies at the MC1R mutation site c.361G > A between the LSB and LSS populations (Fisher’s exact test, P = 8.268 × 10 –25 ).
Of those, 64 were upregulated, of which 55 showed strong upregulation, 4 were downregulated, and 8 showed no change in expression following induction of Gata1 in the G1ER system, demonstrating a highly significant overlap of our identified MURK genes with the G1ER-induced genes (p < 10 −24 ; see Fig. 4 B).
Over the 17 trials reporting on length of ICU stay, there is highly significant heterogeneity in the effect of vitamin C with I 2 = 90% ( p = 10 −24 ) ( Table 2 and Figure S1 in Supplementary file S1 ).
Second, genome-wide comparison indicates a highly significant inverse association of human-specific rearrangements with methylation levels (Kolmogorov-Smirnov test, D max = 0.23, p≈10 −24 ) ( Figure 1B ).
We detected 16 putatively imprinted genes, of which 8 were also found Baran et al using a much larger sample size, a highly significant enrichment (OR = 4,049; P < 10 −24 ).
Firstly, as the source of this signature, the brown module’s gene set showed a highly significant enrichment in core processes such as the B cell receptor (BCR) signaling pathway (P=1.09e−24) and B cell activation (P=4.07e−17) in detailed pathway analysis.