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. Author manuscript; available in PMC: 2020 Jul 1.
Published in final edited form as: Genet Epidemiol. 2019 Feb 22;43(5):462–476. doi: 10.1002/gepi.22197

Figure 3:

Figure 3:

Type I error comparison between the Z-score based meta-analysis and our proposed CGF-Spline and Genotype Count (GC) methods where the phenotypes, non-genetic covariates and the genotypes are simulated as described in simulation study 3. Joint represents the joint analysis with the pooled data. The top and the bottom panels show empirical type I error rates at genome-wide significance levels α = 5 × 10−5 and α = 5 × 10−8, respectively. The left and right panels consider the within-study case-control ratios 1:9 and 1:49, respectively for the unbalanced studies. In each plot, the X-axis represents MAFs with expected MACs in parenthesis, and the Y-axis (in logarithmic scale) represents the empirical type I error rates. 95% confidence intervals at different MAFs are also presented. The empirical type I error rates were almost identical between ZScore – fastSPA – 2 and ZScore – fastSPA – 0.1, and between GC – fastSPA – 2 and GC – fastSPA – 0.1, and hence the lines are sometimes overlapped in this plot.