Because genome-wide association studies (GWAS) have stringent p-value requirements, the issue of statistical power is highly relevant. Although most attempts at maximizing power in GWAS focus on increasing sample size as in the above meta-analyses, power can also be increased by reducing phenotypic variance by either increasing precision of measurement or increasing phenotypic homogeneity of the subjects.
