Barely Significant
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“nominally significant”

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p=0.08

Listed by Hankins (2013) · Otte et al. (2022)

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nominally significantp < 0.0a p-value is never exactly 0gold
Additionally, response speeds differed by emotion category, with fear slower than anger ( t = 53.94, p < 0.001, d = 0.91) and happiness ( t = 55.17, p < 0.001, d = 0.93), and a small, but nominally significant difference between anger and happiness ( t = 2.25, p < 0.0 5, d = 0.04), with happiness faster than anger.
nominally significantp < 2.2 e − 3080.0× alphagold
In terms of p-value, 25 out of 58 tests are nominally significant ( p < 2.2 e − 308), with 6 out of 58 being significant after adjusting for 58 tests, including variants in TCF7L2 and age for Glycated hemoglobin (HbA1c), variants in SMOX and sex for High light scatter reticulocyte count, Reticulocyte percentage, and Immature reticulocyte fraction, variants in CSP1 and sex for Mean platelet (thrombocyte) volume.
highly significantP = 3.18×10 -1100.0× alphaqualifiedgold
nominally significantP =.0030.1× alphagold
Meta-analyses of cis -eQTLs for brain-related traits show at least one variant in the ANKDD1B gene to be highly significant in the cortex ( P = 3.18×10 -110 ; Table F in S1 Table ) and nominally significant in the hippocampus ( P =.003; Table G in S1 Table ) [ 26 ].
nominally significantp = 3.57 × 10 −310.0× alphagold
The largest data freeze to date ( https://www.covid19hg.org ) does not include rs4702 within its summary statistics; however, we note an excess of nominally significant genetic variants within the FURIN cis -region ( Table S1 ; binomial test p = 3.57 × 10 −31 ) comparing individuals hospitalized from COVID-19 with the general population ( Initiative, 2020 ).
nominally significantp = 2.82*10 −150.0× alphagold
The final model generated by SRL included gene-environment interaction terms for ten lifestyle factors ( S10 Table , supplementary Data), of which eight were nominally significant: alcohol intake frequency ( p = 2.82*10 −15 ), usual walking pace ( p = 1.55*10 −14 ), frequency of 10+ minute walks ( p = 6.26*10 −4 ), smoking status (p = 1.45*10 −3 ), frequency of vigorous exercise ( p = 2.28*10 −3 ), number of vehicles in household (p = 1.03*10 −2 ), TDI (p = 3.02*10 −2 ) and frequency of tiredness/lethargy (p = 3.87*10 −2 ) and.
nominally significantP = 1.9 × 10 −140.0× alphagold
All exposures showed at least nominally significant associations with increased mortality, most significantly for SBP (HR, 1.04; 95% CI, 1.03-1.06; P = 1.9 × 10 −14 ); the association of WMH with mortality was no longer significant after adjusting for educational level or interim stroke status (eTables 9 and 10 in Supplement 1 ).
nominally significantp = 6.37 × 10 −110.0× alphagold
Focusing on the subset of 66 genes with nominally significant PolyStrat scores, NRXN1 had the largest difference between cases and ExAC ( χ 2 = 82.3, df = 16, uncorrected p = 6.37 × 10 −11 ; corrected p = 1.27 × 10 −6 ) and no difference between controls and ExAC ( χ 2 = 10.5, df = 16, uncorrected p = 0.84) (Fig. 4d ).
nominally significantp = 6.04 × 10 − 100.0× alphagold
With respect to loci identified by GWI candidate gene studies [ 50 – 52 ] and the previous GWI genome-wide association study (GWAS) (Table S7) [ 16 ], we observed nominally significant interaction with exposure to biological/chemical or warfare agents for GWAS-identified locus rs142258944*C (G×E beta = 0.625, joint- p = 6.04 × 10 − 10 , interaction- p = 0.005) and candidate locus PON1 rs662*C (G×E beta = 0.345, joint- p = 0.036, interaction- p = 0.012).
nominally significantP = 6.87 × 10 −100.0× alphagold
Although the observed sign concordance of 52% is not significantly different from a random pattern ( P = 0.40), we find 3.23 times more SNPs in this set of 506 SNPs that are nominally significant for SZ than expected given the distribution of the P values in the SZ GWAS results (raw enrichment P = 6.87 × 10 −10 ).