Table 1.
Power (%) | |||
Noise | Model 1 | Model 2 | Model 3 |
None | 100 | 100 | 99 |
GE | 100 | 100 | 96 |
MS | 100 | 100 | 97 |
PC | 89 | 100 | 49 |
GH | 100 | 100 | 82 |
GE+GH+PC+MS | 51 | 71 | 34 |
Power of HFCC to detect a two-locus interaction at an alpha level of 0.01 under 3 genetic epistasis models and different sources of noise: no noise (None), genotyping error (GE), missing data (MS), phenocopy (PC), genetic heterogeneity (GH), and all sources of noise simultenously (GE+GH+PC+MS). For the datasets with genetic heterogeneity, we reported the power to detect either of the two simulated two-locus effects. Model 1 is a heterozygote-homozygote risk (i.e., risk genotypes ABCC, ABDD, AACD and BBCD); Model 2 represents a "2 and only 2"-allele risk (i.e., A and C) from any of two loci (i.e., risk genotypes AADD, ABCD, and BBCC); Model 3 represents a protective double-heterozygote (i.e., protective genotype ABCD).