is determined. Extending this idea suggests that the threshold should be minor allele frequency (MAF) specific also, as power is a function of the MAF. The Bayes factor approach explicitly considers power (i.e., sample size and MAF) in its calculation because the denominator is the probability of the data under the alternative. The threshold is a function of the prior odds and the costs of the two types of error. Using the Bayes factor as a test statistic gives a procedure by which the type I and type II errors decrease to zero with increasing sample size (Wakefield, 2009).
