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. 2024 Aug 12;14:18677. doi: 10.1038/s41598-024-66311-7

Table 4.

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

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

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.

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.

3Based on 500 bootstrap runs.