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Table 2 Smallest epistasis effect ρ detectable with a power 0.8 for each method for various cohort size

From: Performance of epistasis detection methods in semi-simulated GWAS

 

f=0.15

f=0.3

 

Method

IndOR

DSS

fastepi

GBOOST

SHEsisEpi

IndOR

DSS

fastepi

GBOOST

SHEsisEpi

 

n=n0=n1

ρ

          

500

> 20

8.2

> 20

6.9

12.9

10.5

4.6

> 20

8.1

10.5

r a =1

1000

> 20

4.6

10.5

4.3

5.5

4.6

2.8

> 20

4.6

4.6

r b =1

2500

> 20

2.4

3.4

2.5

2.9

2.3

1.6

4.6

2.5

2.5

 

5000

> 20

1.7

2.5

2.0

2.1

1.8

1.4

2.6

1.9

1.8

 

10000

> 20

1.4

1.8

1.6

1.7

1.5

1.2

1.8

1.6

1.5

 

500

> 20

8.7

> 20

6.9

15.2

> 20

4.6

> 20

8.7

15.2

r a =1

1000

> 20

4.7

12.9

4.0

5.8

4.6

3.0

> 20

4.6

4.7

r b =1.5

2500

> 20

2.5

3.7

2.5

2.8

2.4

1.6

6.3

2.6

2.5

 

5000

> 20

1.8

2.4

1.9

2.0

1.8

1.4

2.8

1.9

1.9

 

10000

> 20

1.4

1.9

1.6

1.7

1.5

1.2

2.0

1.6

1.5

 

500

> 20

5.8

> 20

8.1

> 20

> 20

3.4

> 20

8.1

> 20

r a =1.5

1000

> 20

3.2

12.9

4.0

5.8

5.8

2.0

> 20

4.3

5.2

r b =1.5

2500

> 20

1.9

4.0

2.4

2.8

2.6

1.1

8.1

2.5

2.6

 

5000

> 20

1.5

2.5

1.9

2.1

2.0

1.2

3.1

1.9

1.9

 

10000

> 20

1.2

1.9

1.5

1.7

1.6

1.1

2.0

1.5

1.5

 
  1. Dominant-dominant model (M1 in Table 1), f a =f b =0.15 (left columns) and f a =f b =0.3 (right columns), r2=0, from top to bottom panel interaction between SNPs with no main effects (r a =r b =1), only one with main effects (r a =1,r b =1.5), and both with main effect (r a =r b =1.5)