We applied methods to a sample size of 1,000 individuals. While this size is somewhat smaller than for some GWA studies, and much smaller than associated meta-analyses, it is sufficiently large to illustrate comparisons of methods for effect sizes that correspond to intermediate power to detect association. Larger sizes, with similarly sized effects, will simply result in increased power regardless of methods. Smaller sample sizes will require stronger genetic effects for there to exist sufficient power to detect association. Examples of such scenarios may come from studies of pharmacogenetics or mapping eQTLs.
