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. 2006 Aug 30;79(4):614–627. doi: 10.1086/507876

Table 3. .

Power of Survey Study of 363 Individuals to Detect an Effect Similar to That Observed at ITPR3, as Computed by Monte Carlo Analysis[Note]

No. of Simulated Survey Studies with P <
Subject
Group
Case Genotype Ratios Determining Frequencies .05 .01 .001 .000168 .0001
Cases 39:81:61 993 958 790 558 469
Intermediate 1 36:81:63 981 880 573 321 257
Intermediate 2 34:82:66 944 751 364 154 120
Intermediate 3 31:82:68 816 570 184 51 38
Intermediate 4 29:82:71 682 348 65 11 6
Intermediate 5 26:83:73 449 168 23 4 1
Intermediate 6 23:83:75 263 62 2 0 0
Intermediate 7 21:83:78 85 8 0 0 0
Intermediate 8 18:83:80 29 3 0 0 0
Intermediate 9 16:84:83 4 0 0 0 0
Controls 13:84:85 4 0 0 0 0

Note.— Each row represents the result of 1,000 simulations of data for a single locus, with the case genotype frequencies drawn from a trinomial distribution reflecting the observed case frequencies (top row of data), the observed control frequencies (bottom row), or nine intermediate frequency sets. The frequencies of the simulated control genotypes were the frequencies of the observed control genotypes for all rows. As expected, approximately half of the time (558 of 1,000 simulations), we would have observed a more significant P value than we actually did for rs2296336 (P=.000168), if the true genotype frequencies were our observed frequencies.