Barely Significant
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suggestive of significance

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In the literature

suggestive of significancep < 1 × 10 −50.0× alpha
Of these 27 loci, five loci were identified as either genome-wide significant or suggestive of significance ( p < 1 × 10 −5 ) in a separate, previously published GWAS of one of the five traits. 118 loci were genome-wide significant for neuroticism, with 38 loci not identified in the univariate item-level GWASs ( Supplementary Table 6 ; Figure 1b , Figure 2b ).
suggestive of significancep < 5 × 10 −50.0× alpha
Figure 1 presents the corresponding Manhattan plot showing the p -value (−log10 p ) of each SNP analyzed as well as indicating both thresholds for significance (the GWAS p -value of significance and the p -value suggestive of significance; p < 5 × 10 −5 ).
suggestive of significanceP < 0.1002.0× alpha
Binomial logistic regression was done to identify the independent predictors of gestational diabetes mellitus outcomes in two steps—univariate analysis (step 1) followed by multivariate analysis using independent variables that were found to be significant ( P < 0.05) or suggestive of significance ( P < 0.100) in step 1.
suggestive of significancep < 0.12.0× alpha
PFAS and birth outcomes: mediation by epigenetics Across all families with passing total DNA methylation data ( n = 141), there were several relationships suggestive of significance ( p < 0.1) between birth outcomes (gestational age at birth, or Fenton z-scores) and PFAS exposures, when controlling for the necessary confounders for statistical mediation analyses (Table 6 ).
suggestive of significanceP < 0.1002.0× alpha
Multiple logistic regression to identify the independent predictors of prediabetes was done in two steps—univariate analysis (step 1) followed by multivariate analysis using independent variables which were found to be significant ( P < 0.05) or suggestive of significance ( P < 0.100) in step 1.
suggestive of significancep < 0.1002.0× alpha
Multiple logistic regression to identify the independent predictors of DKA was done in two steps - univariate analysis (step 1) followed by multivariate analysis using independent variables which were found to be significant (p < 0.05) or suggestive of significance (p < 0.100) in step 1.
suggestive of significancep < 0.1002.0× alpha
Binomial logistic regression was done to identify the independent predictors of death and the secondary outcomes in two steps — univariate analysis (step 1) followed by multivariate analysis using independent variables which were found to be significant (p < 0.05) or suggestive of significance (p < 0.100) in step 1.