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

Table 1.

Performance evaluation based on ClinVar benchmark data

Methods Missing PPV (%) NPV (%) Specificity (%) FPR (%) Sensitivity (%) FNR (%) Accuracy (%) MCC AUC hser-AUC hspr-AUC
Class one: function prediction methods
FATHMM 195 63.48 67.35 77.84 22.16 50.52 49.48 66.02 0.296 0.694 0.536 0.586
fitCons 299 51.61 64.47 62.23 37.77 54.01 45.99 58.72 0.162 0.611 0.505 0.509
LRT 995 72.28 87.52 67.63 32.37 89.75 10.25 78.35 0.586 0.789 0.631 0.521
MutationAssessor 357 68.42 83.15 69.66 30.34 82.32 17.68 75.28 0.518 0.850 0.584 0.668
MutationTaster 34 62.01 94.93 55.56 44.44 96.07 3.93 72.99 0.542 0.610 0.560 0.504
PolyPhen2-HDIV 52 61.84 90.26 56.58 43.42 92.02 7.98 71.93 0.503 0.839 0.644 0.551
PolyPhen2-HVAR 52 68.50 88.47 68.97 31.03 88.24 11.76 77.32 0.571 0.865 0.657 0.627
PROVEAN 134 73.03 83.45 76.99 23.01 80.32 19.68 78.45 0.569 0.858 0.617 0.628
SIFT 190 67.11 86.78 67.90 32.10 86.36 13.64 75.86 0.541 0.860 0.633 0.597
VEST3 16 77.95 90.33 81.03 18.97 88.55 11.45 84.27 0.689 0.929 0.729 0.756
Class two: conservation methods
GERP++ 16 52.48 91.12 34.80 65.20 95.50 4.50 60.90 0.364 0.739 0.598 0.507
phastCons 0 63.60 87.58 61.86 38.14 88.37 11.63 73.26 0.507 0.767 0.642 0.517
phyloP 0 61.13 88.96 56.51 43.49 90.71 9.29 71.21 0.486 0.848 0.619 0.594
SiPhy 17 63.65 82.12 64.75 35.25 81.40 18.60 71.93 0.460 0.776 0.625 0.515
Class three: ensemble methods
CADD 1 63.96 93.19 59.99 40.01 94.18 5.82 74.69 0.556 0.877 0.683 0.584
DANN 1 64.47 83.32 65.71 34.29 82.55 17.45 72.95 0.480 0.807 0.649 0.544
Eigen 299 65.05 91.97 62.88 37.12 92.64 7.36 75.59 0.563 0.871 0.669 0.595
FATHMM-MKL 1 56.54 93.70 44.36 55.64 96.04 3.96 66.57 0.451 0.822 0.663 0.552
GenoCanyon 0 56.10 80.99 50.22 49.78 84.37 15.63 64.90 0.358 0.683 0.561 0.509
M-CAP 2141 80.51 60.64 35.00 65.00 92.20 7.80 77.58 0.335 0.814 0.562 0.622
MetaLR 31 80.28 75.98 88.21 11.79 63.24 36.76 77.44 0.538 0.874 0.703 0.670
MetaSVM 31 83.03 77.09 89.95 10.05 64.77 35.23 79.09 0.574 0.858 0.547 0.693
REVEL 30 81.12 87.07 85.27 14.73 83.33 16.67 84.43 0.684 0.920 0.689 0.756

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; NPV, negative predictive value; PPV, positive predictive value. ClinVar is an open database that aggregates clinically observed genetic variants. We obtained 4880 missense variants from this database, including 2098 pathogenic variants and 2782 benign variants.