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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

From: An omnibus permutation test on ensembles of two-locus analyses can detect pure epistasis and genetic heterogeneity in genome-wide association studies

  

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

  1. 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).