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. 2013 Mar;193(3):1015–1018. doi: 10.1534/genetics.112.146332

Table 1. Estimated Type I Error Rate and Statistical Power.

Type I error rate
Statistical power
Distra Methodb α = 0.10 α = 0.05 α = 0.01 α = 0.10 α = 0.05 α = 0.01
Exp Permut 0.191*** 0.113*** 0.028*** 0.493 0.387 0.235
Bootstr 0.145*** 0.078*** 0.022*** 0.451 0.360 0.235
GeneDr 0.108 0.045 0.009 0.402 0.312 0.164
GRAIP 0.116* 0.052 0.012 0.416 0.315 0.164
Norm Permut 0.129*** 0.059 0.012 0.478 0.379 0.241
Bootstr 0.090 0.048 0.007 0.409 0.343 0.223
GeneDr 0.090 0.051 0.010 0.416 0.355 0.239
GRAIP 0.086* 0.044 0.010 0.418 0.342 0.217
Unif Permut 0.136*** 0.079*** 0.014 0.488 0.397 0.241
Bootstr 0.104 0.057 0.011 0.435 0.352 0.219
GeneDr 0.104 0.062* 0.011 0.429 0.351 0.220
GRAIP 0.105 0.060 0.011 0.430 0.352 0.246

Allele (A/a) frequencies at the founder generation: 3/1 for F26 vs. 1/3 for F34. Estimated from 1200 simulations at genome-wide significance level α = 0.10, 0.05 or 0.01. *, **, and *** indicate that the estimated type I error rate is significantly different from the expected significance levels 0.10, 0.05, and 0.01, respectively.

a

Residual distribution: exponential (Exp), normal (Norm), or uniform (Unif).

b

Permuting marker data (Permut), bootstrapping phenotypic data (Bootstr), or gene dropping (GeneDr).