Table 1.
False-Positive Rate under Model |
||
Procedurea | Null I | Null II |
CDF | .194 | .214 |
Simes | .032 | .036 |
RSimes | .048 | .058 |
False-Discovery Rate under Model |
||
Null I |
Null II |
|
BHD | .014 | .014 |
DRW | .050 | .070 |
Note.— Six SNPs were simulated for 100 cases and 100 controls. The first SNP had mutant-allele frequency of .2; the other five SNPs were generated independently of the first by sampling five-SNP haplotypes with frequencies similar to those given in table 5 of Bugawan et al. (2003). Under model Null I, none of the SNPs were associated with disease. Under Null II, each mutant allele for the first SNP doubles disease risk, but the remaining five SNPs are not associated with disease. The multiple-comparisons procedures are applied to the p values from five Wald tests for interaction based on the logistic model Pr(disease)=α+β1SNP1+βSNPi+βintSNP*1SNPi, analogous to that of Bugawan et al. (2003).
“CDF” denotes the cumulative distribution function procedure used by Bugawan et al. (2003); “Simes” is the standard Simes’s test; “RSimes” is Simes’s test applied to p values calculated by comparing the observed p values to the distribution of p values generated by permuting the outcome variable 200 times; “BHD” is the Benjamini and Hochberg step-up procedure corrected for general dependency (Benjamini and Yekutieli 2001) (the usual step-up procedure is identical to Simes’s test in this case); and “DRW” is the related procedure proposed by Devlin et al. (2003).