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, 25 (4), 57-82

Molecular Genetics and Economics


Molecular Genetics and Economics

Jonathan P Beauchamp et al. J Econ Perspect.


NOTES: Each curve in these graphs shows the statistical power to detect a true marker-trait association as a function of the sample size. Statistical power is the probability that the null hypothesis of no association will be rejected at a given significance threshold. The four different curves in each panel correspond to markers that truly explain (that is, their true population R2 are) 0.01%, 0.05%, 0.1%, and 1% of the variance of the trait. The two panels correspond to two different significance thresholds (α = 0.05 and α = 5e-8). These power graphs are for single tests – that is, without correction for multiple hypothesis testing.

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