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Figure 1 | BMC Bioinformatics

Figure 1

From: A note on generalized Genome Scan Meta-Analysis statistics

Figure 1

Quantile-quantile plots of the weighted GSMA statistic vs. a normal approximation and an Edgeworth approximation. A. Quantile-quantile plot of the null distribution of the weighted GSMA statistic, x-axis, versus the Edgeworth approximation, y-axis. B. Quantile-quantile plot of the empirical null distribution of the weighted GSMA statistic, x-axis, versus the Edgeworth approximation, y-axis. The empirical null distribution of the weighted GSMA statistic was obtained from 10,000 simulations, with m = 20 scans, n = 120 bins per scan, and weights for the 20 scans taken from Lewis [7]. The normal approximation shares the first two moments as the weighted GSMA statistic; the Edgeworth approximation shares the first four moments as the weighted GSMA statistic. Quantiles are depicted from the .0001 percentage point to the .9999 percentage point.

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