Corrections for Type I error were considered but ultimately rejected on the basis of the following considerations. First, correction for Type I error would result in a significant loss of statistical power, as demonstrated in Table 1. Second, Type I error needs to be considered for each hypothesis separately, not for the number of variables in the whole set of analyses reported (Dar et al., 1994). In the present analyses 4 measures, all derived from the SRE (i.e., SRE-5, SRE-3, SRE-H, and SRE-T), were used to test the first hypothesis that the candidate SNP would be associated with level of response to alcohol, 3 measures (i.e., ACQ1, ACQ2, and ACQ3) were used to test the second hypothesis that these SNPs would be associated with drinking outcomes, and 2 measures (i.e., RAPI and AUDIT) tested the third hypothesis regarding the association of the candidate SNPs to alcohol-related problems. Together, these considerations indicate that corrections for Type I error may not be advised in this study.
