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. 2018 Jul 28;46(15):7793–7804. doi: 10.1093/nar/gky678

Table 2.

Performance evaluation based on TP53 benchmark data

Methods Missing PPV (%) NPV (%) Specificity (%) FPR (%) Sensitivity (%) FNR (%) Accuracy (%) MCC AUC hser-AUC hspr-AUC
Class one: function prediction methods
FATHMM 0 47.04 NA 0.00 100.00 100.00 0.00 47.04 NA 0.877 0.612 0.638
fitCons 0 47.04 NA 0.00 100.00 100.00 0.00 47.04 NA 0.521 0.521 0.501
LRT 29 70.38 82.73 66.67 33.33 85.05 14.95 75.53 0.524 0.731 0.556 0.513
MutationAssessor 1 64.49 92.56 53.36 46.64 95.18 4.82 73.05 0.526 0.880 0.634 0.674
MutationTaster 0 60.92 90.81 46.00 54.00 94.76 5.24 68.93 0.459 0.568 0.538 0.502
PolyPhen2-HDIV 0 58.48 93.30 38.92 61.08 96.86 3.14 66.17 0.430 0.865 0.655 0.556
PolyPhen2-HVAR 0 61.01 92.45 45.62 54.38 95.81 4.19 69.23 0.471 0.883 0.665 0.595
PROVEAN 0 76.64 87.77 76.16 23.84 88.05 11.95 81.76 0.643 0.898 0.688 0.666
SIFT 0 67.68 90.78 60.52 39.48 93.08 6.92 75.84 0.560 0.879 0.691 0.606
VEST3 0 65.61 92.86 55.68 44.32 95.18 4.82 74.26 0.545 0.912 0.663 0.727
Class two: conservation methods
GERP++ 0 57.67 81.23 41.90 58.10 89.10 10.90 64.10 0.347 0.732 0.577 0.541
phastCons 0 67.43 78.92 65.55 34.45 80.29 19.71 72.49 0.461 0.751 0.591 0.517
phyloP 0 64.73 78.69 60.52 39.48 81.55 18.45 70.41 0.427 0.802 0.561 0.584
SiPhy 4 65.45 66.84 71.48 28.52 60.38 39.62 66.24 0.321 0.731 0.537 0.531
Class three: ensemble methods
CADD 0 63.71 92.08 51.96 48.04 94.97 5.03 72.19 0.512 0.841 0.679 0.577
DANN 0 64.78 76.85 61.82 38.18 79.04 20.96 69.92 0.412 0.752 0.638 0.520
Eigen 0 69.14 85.78 65.18 34.82 87.84 12.16 75.84 0.540 0.849 0.632 0.618
FATHMM-MKL 0 57.54 84.86 39.66 60.34 92.03 7.97 64.30 0.367 0.804 0.601 0.539
GenoCanyon 0 69.34 64.66 80.07 19.93 50.73 49.27 66.27 0.324 0.679 0.501 0.520
M-CAP 11 47.49 100.00 0.95 99.05 100.00 0.00 47.76 0.067 0.803 0.614 0.560
MetaLR 0 47.94 100.00 3.54 96.46 100.00 0.00 48.92 0.130 0.898 0.628 0.694
MetaSVM 0 48.13 100.00 4.28 95.72 100.00 0.00 49.31 0.144 0.578 0.562 0.562
REVEL 0 56.20 94.54 32.22 67.78 97.90 2.10 63.12 0.391 0.901 0.663 0.664

AUC, area under the curve; FNR, false negative rate; FPR, false positive rate; hser-AUC, high-sensitivity regional area under the curve; hspr-AUC, high-specificity regional area under the curve; MCC, Mathew correlation coefficient; NA, not available; NPV, negative predictive value; PPV, positive predictive value. The IARC TP53 Database compiles TP53 mutation data that have been reported in the peer-reviewed literature. We obtained 1014 somatic missense mutations that have been reported in this database, including 477 non-functional mutations and 537 functional mutations.