Table 4.
Year 1 | Year 2 | |||
---|---|---|---|---|
Sample Size | Total N(%) of FP | N(%) of FP by SNP Effect | Total N(%) of FP | N(%) of FP by SNP Effect |
50 | 61 (6.1%) | 30 (49.2%) | 56 (5.6%) | 40 (71.4%) |
100 | 58 (5.8%) | 48 (82.8%) | 52 (5.2%) | 44 (84.6%) |
200 | 59 (5.9%) | 43 (72.9%) | 57 (5.7%) | 49 (86.0%) |
300 | 45 (4.5%) | 32 (71.1%) | 57 (5.7%) | 47 (86.0%) |
600 | 45 (4.5%) | 32 (71.1%) | 57 (5.7%) | 43 (75.4%) |
700 | 60 (6.0%) | 47 (78.3%) | 48 (4.8%) | 44 (91.7%) |
800 | 57 (5.7%) | 43 (75.4%) | 43 (4.3%) | 32 (74.4%) |
FP = false positive. False positive rates were investigated by determining the number of significant and non-significant trials when comparing change in UPDRS over a simulation of two years. Total % of false positives is the percentage of total iterations that resulted in a false positive. % of false positives by SNP effect is the percentage of false positives that were caused by the interaction effect on UPDRS progression by the rs9298897 and rs17710829 SNPs alone. Significance was determined by Z score cut-off values of ± 1.96 (p < 0.05).