Fig. 1.
The distribution of the minimum P-value (−log10Pmin.) from the additive GWAS models. We extracted −log10Pmin from a GWA results for each of the (a) 1,000 simulated normally distributed phenotypes and (b) permuted raw BMI phenotypes from UK Biobank. The genotypes used in GWA were from the European cohort in the UK Biobank (N = 348,501). The dotted line corresponds to the traditional genome-wide significance cutoff of (5.0×10−8), while the vertical solid lines represent the new empirical GWAS cutoff after pruning genotypes based on the >5% (blue), >1% (green), >0.5% (orange), and >0.1% (gray) minor allele thresholds. The new cutoff GWAS thresholds represents 95% percentile of Pmin distribution (α = 0.05).

The distribution of the minimum P-value (log10Pmin.) from the additive GWAS models. We extracted log10Pmin from a GWA results for each of the (a) 1,000 simulated normally distributed phenotypes and (b) permuted raw BMI phenotypes from UK Biobank. The genotypes used in GWA were from the European cohort in the UK Biobank (N = 348,501). The dotted line corresponds to the traditional genome-wide significance cutoff of (5.0×108), while the vertical solid lines represent the new empirical GWAS cutoff after pruning genotypes based on the >5% (blue), >1% (green), >0.5% (orange), and >0.1% (gray) minor allele thresholds. The new cutoff GWAS thresholds represents 95% percentile of Pmin distribution (α = 0.05).

Close
This Feature Is Available To Subscribers Only

Sign In or Create an Account

Close

This PDF is available to Subscribers Only

View Article Abstract & Purchase Options

For full access to this pdf, sign in to an existing account, or purchase an annual subscription.

Close