Barely Significant

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extremely significantp < 10 -150.0× alphaqualified
While we estimate that this stringent quality control produced well calibrated association test statistics for more than 99% of sites, this analysis yielded many extremely significant p-values at SNPs outside of known loci (e.g. ~7,000 with p < 10 -15 ), 95% of which had an allele frequency below 5%.
highly significantp < 1.0 × 10 −150.0× alphaqualifiedgold
Quantification of glial nuclear basket ::GFP levels normalized to the oil vehicle control (1.0 ± 0.029, n = 13; 10 nuclei averaged per data point) shows a highly significant ~ 200% mean nuclear elevation following critical period EB experience (1.904 ± 0.030, n = 17; t (28) = 21.24, p < 1.0 × 10 −15 , two-tailed unpaired t- test; Fig. 5 B).
highly significantp = 1.3 × 10 −150.0× alphaqualifiedgold
the effect was much stronger than that of the two individual metabolites (Table 4 , ESM Table 19 ; both p ≥ 2.2 × 10 −16 , p gain = 2.2 × 10 11 ). Fasting pairwise metabolite ratios at baseline and incident type 2 diabetes Meta-analysis of the Cox regression results in two independent prospective studies (910 individuals with incident type 2 diabetes and 3367 control participants), with adjustment as shown in ESM Table 10 , shows a highly significant association between the ratio of valine to PC ae C32:2 and type 2 diabetes susceptibility (Table 5 ; HR Val_PC ae C32:2 1.57 [β 0.45 ± 0.06], p = 1.3 × 10 −15 ; the results for the crude models are shown in ESM Table 20 ).
highly significantp = 1.33 × 10 −150.0× alphaqualifiedgold
Three highly significant pathways were identified by the Reactome analysis of these protein clusters: The citrate (TCA) cycle pathway ( p = 1.33 × 10 −15 and FDR = 3.46 × 10 −14 ), the mRNA metabolism/catabolism pathway ( p = 7.96 × 10 −8 and FDR = 3.60 × 10 −6 ), and the unfolded protein response pathway (UPR; p = 2.04 × 10 −13 and FDR = 1.35 × 10 −11 ) ( Figure 9 d). 3.3.
highly significantp < 1.42 × 10 −150.0× alphaqualifiedgold
There was also a highly significant relationship between gender and the number of English-language publications (Kruskal–Wallis chi-squared = 68.37, p < 1.42 × 10 −15 ) and between disciplines and the number of English-language publications (Kruskal–Wallis chi-squared = 29.45, p < 6.35 × 10 −6 ).