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. 2013 May 19;2:230. doi: 10.1186/2193-1801-2-230

Table 2.

Statistical power of 2LOmb to detect genetic heterogeneity in small-scaled simulated data sets with different numbers of available SNPs, different numbers of causative SNPs and different ratios of case samples from two affected groups

 
 
Statistical power
 
 
20 SNPs
1,000 SNPs
Number of
Ratio
At least
Two
At least
Two
causative
of case
one interaction
interactions
one interaction
interactions
SNPs samples detected detected detected detected
2&2
1:3
1.00
0.95
1.00
0.55
 
1:1
1.00
1.00
1.00
1.00
3&3
1:3
1.00
1.00
1.00
0.88
 
1:1
1.00
1.00
1.00
1.00
4&4
1:3
1.00
1.00
1.00
1.00
 
1:1
1.00
1.00
1.00
1.00
2&3
1:3
1.00
0.93
1.00
0.60
 
1:1
1.00
1.00
1.00
1.00
 
3:1
1.00
0.98
1.00
0.94
2&4
1:3
1.00
0.94
1.00
0.63
 
1:1
1.00
1.00
1.00
1.00
 
3:1
1.00
1.00
1.00
0.99
3&4
1:3
1.00
1.00
1.00
0.88
 
1:1
1.00
1.00
1.00
1.00
  3:1 1.00 1.00 1.00 0.97

Each data set consists of balanced case-control samples of size 1,600. The results indicate that 2LOmb detects at least one interaction in every data set (global p-value < 0.0001).