Skip to main content
. 2013 Feb 28;9(2):e1003321. doi: 10.1371/journal.pgen.1003321

Table 2. Empirical, simulation-based statistical power of GGG tests.

Simulation number Interacting SNP-pairsa Typeb MAFsc Effect sized n Powere
GG_PC GG_minP GG_GATES GG_tTS GG_tProd
1 30-15 U-U .45-.48 0.15 1k 14.3 31.0 34.8 47.2 47.0
2k 27.5 60.0 65.2 76.3 76.0
3k 43.9 81.8 84.4 90.6 90.6
5k 73.3 94.5 98.0 98.3 99.3
2 30-17 U-O .45-.39 0.15 1k 14.1 30.4 33.6 45.5 45.4
2k 27.1 60.9 64.5 73.5 73.4
3k 44.5 83.6 85.1 88.9 89.0
5k 75.1 93.4 98.2 98.2 98.9
3 29-17 O-O .10-.39 0.15 1k 7.0 10.2 11.0 8.4 8.5
2k 10.9 16.8 19.4 13.6 14.3
3k 14.2 28.6 30.4 20.5 21.2
5k 21.5 51.4 52.9 33.7 35.0
4 29-17 O-O .10-.39 0.25 1k 13.1 25.3 27.0 18.4 19.1
2k 27.6 56.0 57.9 35.7 38.8
3k 40.8 81.4 82.6 52.8 60.4
5k 69.3 97.7 98.0 75.8 85.9
5 30-15, 40-20, 48-27 U-U .45-.48, .41-.34, .30-.43 0.12 1k 17.8 33.5 37.0 49.3 49.1
2k 38.8 64.3 69.3 80.1 79.9
3k 57.7 83.9 86.5 92.2 92.0
5k 87.2 95.3 97.9 99.4 98.5
6 30-15, 40-20, 48-27 U-U .45-.48, .41-.34, .30-.43 0.15 1k 28.3 51.5 55.8 68.1 68.2
2k 60.5 85.8 88.2 94.3 94.3
3k 83.7 97.4 98.2 99.4 99.4
5k 98.7 99.9 99.9 100 100
7 29-17, 39-22, 47-25 O-O .10-.39, .41-.38, .29-.44 0.12 1k 18.8 42.8 47.1 54.3 54.3
2k 39.3 77.5 81.0 84.6 84.7
3k 57.5 93.7 94.5 95.9 95.7
5k 88.3 98.8 99.9 99.9 100
8 10-5, 20-10, 30-15, 40-20, 48-27 U-U .10-.39, .10-.44, .45-.48, .41-.34, .30-.43 0.12 1k 23.1 34.8 38.1 43.6 43.5
2k 51.1 67.5 71.8 79.0 79.0
3k 73.7 86.2 89.1 93.0 93.0
5k 96.4 96.6 98.7 99.2 99.7
9 6-4, 19-9, 29-17,39-22, 47-25 O-O .12-.49, .32-.47, .10-.39, .41-.38, .29-.44 0.12 1k 54.9 89.7 92.1 96.3 96.3
2k 92.4 99.7 99.8 100 100
a

Indices of the interaction SNPs in the two loci (Figure S3); Three types of scenarios are considered, of one, three, and five pairs of interacting SNPs, for each at least two different sets of SNPs are considered, for a total of 7 different scenarios.

b

U: SNP untyped; O: SNP observed; For scenarios with more than one pair of interacting SNPs, the U/O status of the first and second interacting SNP is the same across all pairs.

c

Minor allele frequency of all SNPs involved in interactions, by order.

d

Coefficient of the interaction term in the linear model, b 3, as described in Equation (1); For scenarios with more than one pair of interacting SNPs, the effect size is the same for all pairs.

e

Power, as percentage of significant tests with P value<0.05.