Here, some recent work addressing these problems is reviewed. For the study design, work is summarised that minimises the cost of a study, while maintaining its power. For the analysis, methods are reviewed for improving sensitivity in the presence of multiple gene effects, by combining evidence across tests, and some methods for reducing the computational burden of permutation tests are discussed. The review concludes with a discussion of alternative error measures including false discovery rates.
