Deviations of genotype distribution from Hardy-Weinberg expectations w
ithin a (sub)population can give valuable insight into the population
structure, and can be quantified by means of F-is values. Specific bio
logical and/or genetical hypotheses regarding F-is require particular
statistical procedures to be able to perform the test with high power.
The bootstrap offers a convenient way to test against a broad range o
f alternative hypotheses. It enables: a) comparison of an observed F-i
s with any expected value between -1 and 1, and b) comparison of two o
r more observed F-is values. However, it fails under numerous situatio
ns, and great caution should be taken before applying the bootstrap to
estimate confidence intervals of F-is. We discuss under which conditi
ons the bootstrap gives reliable results.