Table 4 Evaluation of the 3pRule + bootstrap approach for detecting SNP–SNP interactions based on a dataset with 614 SNPs.

From: Cluster effect for SNP–SNP interaction pairs for predicting complex traits

Method1

Criterion

TPR2 (%)

FPR2 (%)

Total

No. significant pairs1

C–C (causal pair)

Total null pair

C–N (% null pairs)

C–C-other

N–N

1pRule

Original

100

0.82

1538

7

1531

1482 (96.8)

49

0

 ≥ 75% runs3

100

0.24

468

7

461

439 (95.2)

22

0

 ≥ 80% runs3

85.7

0.18

346

6

340

325 (95.6)

15

0

 ≥ 90% runs3

71.4

0.14

262

5

257

245 (95.3)

12

0

3pRule

Original

100

0.35

672

7

665

624 (93.8)

41

0

 ≥ 75% runs3

100

0.04

86

7

79

71 (89.9)

8

0

 ≥ 80% runs3

85.7

0.02

48

6

42

37 (88.1)

5

0

 ≥ 90% runs3

71.4

0.01

31

5

26

23 (88.5)

3

0

  1. 1Significance rules: 1pRule: p-pair < 2.7 × 10–7; 3pRule: p-pair < 2.7 × 10–7 and p-pair < p-main for SNP1, and p-pair < p-main for SNP2; “C”: a SNP in a causal pair; “N”: a null SNP.
  2. 2TPR (true positive rate): proportion of significance out of 7 causal pairs; FPR (false positive rate): proportion of significance null pairs out of all 188,184 null pairs.
  3. 3Based on 500 bootstrap runs.