However, a high-quality meta-analysis must confront and surmount numerous conceptual and technical issues. These issues include: the comparability of samples and phenotype definitions; quality control; imputation to a common genotype set with attention to strand and allele issues; statistical methods to combine data; visualization; bioinformatics; and follow-up strategies. De Bakker and colleagues provide a practical treatment of these issues (de Bakker et al., 2008).