Journal of Forensic Medicine ›› 2023, Vol. 39 ›› Issue (3): 247-253.DOI: 10.12116/j.issn.1004-5619.2023.530203
Special Issue: 法医学亲子和亲缘关系鉴定专题
• Original Articles • Previous Articles Next Articles
Hui CHEN(), Ran LI, Yu ZANG, Jing-yi YANG, Ri-ga WU, Hong-yu SUN(
)
Received:
2023-02-07
Online:
2023-07-29
Published:
2023-06-25
Contact:
Hong-yu SUN
CLC Number:
Hui CHEN, Ran LI, Yu ZANG, Jing-yi YANG, Ri-ga WU, Hong-yu SUN. Evaluation of Detection Efficiency for Trio Full Sibling Testing[J]. Journal of Forensic Medicine, 2023, 39(3): 247-253.
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URL: http://www.fyxzz.cn/EN/10.12116/j.issn.1004-5619.2023.530203
鉴定关系 | 真实关系 | |
---|---|---|
全同胞 | 无关 | |
全同胞 | 真阳性(A) | 假阳性(B) |
无关 | 假阴性(C) | 真阴性(D) |
无法判断 | 无法判断(E) | 无法判断(F) |
Tab. 1 The number of true relationships and identified relationships
鉴定关系 | 真实关系 | |
---|---|---|
全同胞 | 无关 | |
全同胞 | 真阳性(A) | 假阳性(B) |
无关 | 假阴性(C) | 真阴性(D) |
无法判断 | 无法判断(E) | 无法判断(F) |
基因座数 | 灵敏度 | 特异度 | 阳性预测值 | 阴性预测值 | 判断正确率 | 判断错误率 | 系统效能 | 无法判断率 |
---|---|---|---|---|---|---|---|---|
13 | 0.800 660 858 | 0.928 245 922 | 0.999 254 468 | 0.999 999 551 | 0.999 654 363 | 3.456 4×10-4 | 0.864 752 280 | 0.135 247 720 |
14 | 0.842 825 646 | 0.942 162 687 | 0.999 361 144 | 0.999 999 549 | 0.999 698 009 | 3.019 9×10-4 | 0.892 763 773 | 0.107 236 227 |
15 | 0.881 875 033 | 0.957 056 750 | 0.999 583 534 | 0.999 999 669 | 0.999 800 065 | 1.999 3×10-4 | 0.919 649 762 | 0.080 350 238 |
16 | 0.911 788 023 | 0.962 945 483 | 0.999 588 142 | 0.999 999 738 | 0.999 799 514 | 2.004 9×10-4 | 0.937 554 720 | 0.062 445 280 |
17 | 0.931 871 795 | 0.971 053 973 | 0.999 692 648 | 0.999 999 769 | 0.999 849 347 | 1.506 5×10-4 | 0.951 606 246 | 0.048 393 754 |
18 | 0.951 880 557 | 0.977 797 890 | 0.999 777 109 | 0.999 999 854 | 0.999 889 965 | 1.100 4×10-4 | 0.964 945 402 | 0.035 054 598 |
19 | 0.962 157 268 | 0.981 554 670 | 0.999 797 074 | 0.999 999 877 | 0.999 899 477 | 1.005 2×10-4 | 0.971 953 673 | 0.028 046 327 |
20 | 0.973 463 405 | 0.984 704 172 | 0.999 825 365 | 0.999 999 922 | 0.999 913 137 | 8.686 3×10-5 | 0.979 168 842 | 0.020 831 158 |
21 | 0.980 574 848 | 0.988 031 720 | 0.999 864 345 | 0.999 999 940 | 0.999 932 395 | 6.760 5×10-5 | 0.984 369 833 | 0.015 630 167 |
22 | 0.985 849 839 | 0.990 803 965 | 0.999 898 044 | 0.999 999 958 | 0.999 949 126 | 5.087 4×10-5 | 0.988 377 184 | 0.011 622 816 |
23 | 0.989 174 305 | 0.993 334 524 | 0.999 934 032 | 0.999 999 960 | 0.999 967 064 | 3.293 6×10-5 | 0.991 287 063 | 0.008 712 937 |
24 | 0.992 452 928 | 0.994 625 870 | 0.999 945 764 | 0.999 999 974 | 0.999 972 898 | 2.710 2×10-5 | 0.993 566 327 | 0.006 433 673 |
25 | 0.994 355 126 | 0.995 484 500 | 0.999 948 324 | 0.999 999 980 | 0.999 974 166 | 2.583 4×10-5 | 0.994 945 517 | 0.005 054 483 |
26 | 0.995 411 139 | 0.995 578 377 | 0.999 936 898 | 0.999 999 977 | 0.999 968 439 | 3.156 1×10-5 | 0.995 526 178 | 0.004 473 822 |
27 | 0.996 835 131 | 0.997 293 412 | 0.999 970 818 | 0.999 999 987 | 0.999 985 405 | 1.459 5×10-5 | 0.997 078 824 | 0.002 921 176 |
28 | 0.997 810 659 | 0.997 726 246 | 0.999 973 093 | 0.999 999 993 | 0.999 986 542 | 1.345 8×10-5 | 0.997 781 881 | 0.002 218 119 |
29 | 0.998 130 936 | 0.998 146 072 | 0.999 978 022 | 0.999 999 991 | 0.999 989 006 | 1.099 4×10-5 | 0.998 149 477 | 0.001 850 523 |
30 | 0.998 779 216 | 0.998 515 363 | 0.999 982 021 | 0.999 999 995 | 0.999 991 007 | 8.993 4×10-6 | 0.998 656 271 | 0.001 343 729 |
31 | 0.999 212 456 | 0.998 974 580 | 0.999 988 952 | 0.999 999 997 | 0.999 994 474 | 5.525 8×10-6 | 0.999 099 039 | 0.000 900 961 |
32 | 0.999 333 398 | 0.999 084 946 | 0.999 989 443 | 0.999 999 997 | 0.999 994 719 | 5.280 7×10-6 | 0.999 214 448 | 0.000 785 552 |
33 | 0.999 535 083 | 0.999 133 000 | 0.999 988 116 | 0.999 999 998 | 0.999 994 056 | 5.944 0×10-6 | 0.999 339 982 | 0.000 660 018 |
34 | 0.999 655 894 | 0.999 304 366 | 0.999 990 578 | 0.999 999 998 | 0.999 995 287 | 4.712 8×10-6 | 0.999 484 840 | 0.000 515 160 |
35 | 0.999 743 935 | 0.999 582 506 | 0.999 995 115 | 0.999 999 999 | 0.999 997 556 | 2.443 5×10-6 | 0.999 665 663 | 0.000 334 337 |
36 | 0.999 867 811 | 0.999 650 472 | 0.999 995 907 | >0.999 999 999 | 0.999 997 953 | 2.047 1×10-6 | 0.999 761 188 | 0.000 238 812 |
37 | 0.999 887 887 | 0.999 658 440 | 0.999 995 521 | >0.999 999 999 | 0.999 997 760 | 2.239 9×10-6 | 0.999 775 403 | 0.000 224 597 |
38 | 0.999 919 931 | 0.999 737 207 | 0.999 996 498 | >0.999 999 999 | 0.999 998 249 | 1.751 1×10-6 | 0.999 830 320 | 0.000 169 680 |
39 | 0.999 937 014 | 0.999 821 511 | 0.999 997 870 | >0.999 999 999 | 0.999 998 935 | 1.065 4×10-6 | 0.999 880 328 | 0.000 119 672 |
40 | 0.999 940 451 | 0.999 807 711 | 0.999 997 255 | >0.999 999 999 | 0.999 998 627 | 1.373 0×10-6 | 0.999 875 454 | 0.000 124 546 |
41 | 0.999 969 079 | 0.999 884 476 | 0.999 998 557 | >0.999 999 999 | 0.999 999 279 | 7.213 9×10-7 | 0.999 927 499 | 0.000 072 501 |
42 | 0.999 981 416 | 0.999 911 860 | 0.999 998 950 | >0.999 999 999 | 0.999 999 475 | 5.249 6×10-7 | 0.999 947 163 | 0.000 052 837 |
43 | 0.999 980 102 | 0.999 925 547 | 0.999 999 071 | >0.999 999 999 | 0.999 999 535 | 4.647 3×10-7 | 0.999 953 289 | 0.000 046 711 |
44 | 0.999 983 313 | 0.999 921 901 | 0.999 998 874 | >0.999 999 999 | 0.999 999 437 | 5.633 0×10-7 | 0.999 953 170 | 0.000 046 830 |
45 | 0.999 990 615 | 0.999 947 907 | 0.999 999 326 | >0.999 999 999 | 0.999 999 663 | 3.371 5×10-7 | 0.999 969 598 | 0.000 030 402 |
46 | 0.999 993 406 | 0.999 951 661 | 0.999 999 321 | >0.999 999 999 | 0.999 999 661 | 3.392 8×10-7 | 0.999 972 873 | 0.000 027 127 |
47 | 0.999 995 680 | 0.999 963 093 | 0.999 999 499 | >0.999 999 999 | 0.999 999 749 | 2.506 2×10-7 | 0.999 979 637 | 0.000 020 363 |
48 | 0.999 996 512 | 0.999 973 182 | 0.999 999 648 | >0.999 999 999 | 0.999 999 824 | 1.760 9×10-7 | 0.999 985 023 | 0.000 014 977 |
49 | 0.999 997 506 | 0.999 978 145 | 0.999 999 715 | >0.999 999 999 | 0.999 999 857 | 1.427 4×10-7 | 0.999 987 969 | 0.000 012 031 |
50 | 0.999 997 931 | 0.999 979 305 | 0.999 999 701 | >0.999 999 999 | 0.999 999 851 | 1.493 4×10-7 | 0.999 988 767 | 0.000 011 233 |
51 | 0.999 998 442 | 0.999 985 379 | 0.999 999 797 | >0.999 999 999 | 0.999 999 898 | 1.016 3×10-7 | 0.999 992 012 | 0.000 007 988 |
52 | 0.999 999 116 | 0.999 987 785 | 0.999 999 832 | >0.999 999 999 | 0.999 999 916 | 8.393 8×10-8 | 0.999 993 535 | 0.000 006 465 |
53 | 0.999 999 215 | 0.999 988 570 | 0.999 999 831 | >0.999 999 999 | 0.999 999 915 | 8.470 2×10-8 | 0.999 993 977 | 0.000 006 023 |
54 | 0.999 999 512 | 0.999 992 686 | 0.999 999 901 | >0.999 999 999 | 0.999 999 950 | 4.950 0×10-8 | 0.999 996 148 | 0.000 003 852 |
55 | 0.999 999 744 | 0.999 993 345 | 0.999 999 907 | >0.999 999 999 | 0.999 999 953 | 4.673 6×10-8 | 0.999 996 591 | 0.000 003 409 |
Tab. 2 Parameters of detection efficiency for trio full sibling testing using different number of STR systems
基因座数 | 灵敏度 | 特异度 | 阳性预测值 | 阴性预测值 | 判断正确率 | 判断错误率 | 系统效能 | 无法判断率 |
---|---|---|---|---|---|---|---|---|
13 | 0.800 660 858 | 0.928 245 922 | 0.999 254 468 | 0.999 999 551 | 0.999 654 363 | 3.456 4×10-4 | 0.864 752 280 | 0.135 247 720 |
14 | 0.842 825 646 | 0.942 162 687 | 0.999 361 144 | 0.999 999 549 | 0.999 698 009 | 3.019 9×10-4 | 0.892 763 773 | 0.107 236 227 |
15 | 0.881 875 033 | 0.957 056 750 | 0.999 583 534 | 0.999 999 669 | 0.999 800 065 | 1.999 3×10-4 | 0.919 649 762 | 0.080 350 238 |
16 | 0.911 788 023 | 0.962 945 483 | 0.999 588 142 | 0.999 999 738 | 0.999 799 514 | 2.004 9×10-4 | 0.937 554 720 | 0.062 445 280 |
17 | 0.931 871 795 | 0.971 053 973 | 0.999 692 648 | 0.999 999 769 | 0.999 849 347 | 1.506 5×10-4 | 0.951 606 246 | 0.048 393 754 |
18 | 0.951 880 557 | 0.977 797 890 | 0.999 777 109 | 0.999 999 854 | 0.999 889 965 | 1.100 4×10-4 | 0.964 945 402 | 0.035 054 598 |
19 | 0.962 157 268 | 0.981 554 670 | 0.999 797 074 | 0.999 999 877 | 0.999 899 477 | 1.005 2×10-4 | 0.971 953 673 | 0.028 046 327 |
20 | 0.973 463 405 | 0.984 704 172 | 0.999 825 365 | 0.999 999 922 | 0.999 913 137 | 8.686 3×10-5 | 0.979 168 842 | 0.020 831 158 |
21 | 0.980 574 848 | 0.988 031 720 | 0.999 864 345 | 0.999 999 940 | 0.999 932 395 | 6.760 5×10-5 | 0.984 369 833 | 0.015 630 167 |
22 | 0.985 849 839 | 0.990 803 965 | 0.999 898 044 | 0.999 999 958 | 0.999 949 126 | 5.087 4×10-5 | 0.988 377 184 | 0.011 622 816 |
23 | 0.989 174 305 | 0.993 334 524 | 0.999 934 032 | 0.999 999 960 | 0.999 967 064 | 3.293 6×10-5 | 0.991 287 063 | 0.008 712 937 |
24 | 0.992 452 928 | 0.994 625 870 | 0.999 945 764 | 0.999 999 974 | 0.999 972 898 | 2.710 2×10-5 | 0.993 566 327 | 0.006 433 673 |
25 | 0.994 355 126 | 0.995 484 500 | 0.999 948 324 | 0.999 999 980 | 0.999 974 166 | 2.583 4×10-5 | 0.994 945 517 | 0.005 054 483 |
26 | 0.995 411 139 | 0.995 578 377 | 0.999 936 898 | 0.999 999 977 | 0.999 968 439 | 3.156 1×10-5 | 0.995 526 178 | 0.004 473 822 |
27 | 0.996 835 131 | 0.997 293 412 | 0.999 970 818 | 0.999 999 987 | 0.999 985 405 | 1.459 5×10-5 | 0.997 078 824 | 0.002 921 176 |
28 | 0.997 810 659 | 0.997 726 246 | 0.999 973 093 | 0.999 999 993 | 0.999 986 542 | 1.345 8×10-5 | 0.997 781 881 | 0.002 218 119 |
29 | 0.998 130 936 | 0.998 146 072 | 0.999 978 022 | 0.999 999 991 | 0.999 989 006 | 1.099 4×10-5 | 0.998 149 477 | 0.001 850 523 |
30 | 0.998 779 216 | 0.998 515 363 | 0.999 982 021 | 0.999 999 995 | 0.999 991 007 | 8.993 4×10-6 | 0.998 656 271 | 0.001 343 729 |
31 | 0.999 212 456 | 0.998 974 580 | 0.999 988 952 | 0.999 999 997 | 0.999 994 474 | 5.525 8×10-6 | 0.999 099 039 | 0.000 900 961 |
32 | 0.999 333 398 | 0.999 084 946 | 0.999 989 443 | 0.999 999 997 | 0.999 994 719 | 5.280 7×10-6 | 0.999 214 448 | 0.000 785 552 |
33 | 0.999 535 083 | 0.999 133 000 | 0.999 988 116 | 0.999 999 998 | 0.999 994 056 | 5.944 0×10-6 | 0.999 339 982 | 0.000 660 018 |
34 | 0.999 655 894 | 0.999 304 366 | 0.999 990 578 | 0.999 999 998 | 0.999 995 287 | 4.712 8×10-6 | 0.999 484 840 | 0.000 515 160 |
35 | 0.999 743 935 | 0.999 582 506 | 0.999 995 115 | 0.999 999 999 | 0.999 997 556 | 2.443 5×10-6 | 0.999 665 663 | 0.000 334 337 |
36 | 0.999 867 811 | 0.999 650 472 | 0.999 995 907 | >0.999 999 999 | 0.999 997 953 | 2.047 1×10-6 | 0.999 761 188 | 0.000 238 812 |
37 | 0.999 887 887 | 0.999 658 440 | 0.999 995 521 | >0.999 999 999 | 0.999 997 760 | 2.239 9×10-6 | 0.999 775 403 | 0.000 224 597 |
38 | 0.999 919 931 | 0.999 737 207 | 0.999 996 498 | >0.999 999 999 | 0.999 998 249 | 1.751 1×10-6 | 0.999 830 320 | 0.000 169 680 |
39 | 0.999 937 014 | 0.999 821 511 | 0.999 997 870 | >0.999 999 999 | 0.999 998 935 | 1.065 4×10-6 | 0.999 880 328 | 0.000 119 672 |
40 | 0.999 940 451 | 0.999 807 711 | 0.999 997 255 | >0.999 999 999 | 0.999 998 627 | 1.373 0×10-6 | 0.999 875 454 | 0.000 124 546 |
41 | 0.999 969 079 | 0.999 884 476 | 0.999 998 557 | >0.999 999 999 | 0.999 999 279 | 7.213 9×10-7 | 0.999 927 499 | 0.000 072 501 |
42 | 0.999 981 416 | 0.999 911 860 | 0.999 998 950 | >0.999 999 999 | 0.999 999 475 | 5.249 6×10-7 | 0.999 947 163 | 0.000 052 837 |
43 | 0.999 980 102 | 0.999 925 547 | 0.999 999 071 | >0.999 999 999 | 0.999 999 535 | 4.647 3×10-7 | 0.999 953 289 | 0.000 046 711 |
44 | 0.999 983 313 | 0.999 921 901 | 0.999 998 874 | >0.999 999 999 | 0.999 999 437 | 5.633 0×10-7 | 0.999 953 170 | 0.000 046 830 |
45 | 0.999 990 615 | 0.999 947 907 | 0.999 999 326 | >0.999 999 999 | 0.999 999 663 | 3.371 5×10-7 | 0.999 969 598 | 0.000 030 402 |
46 | 0.999 993 406 | 0.999 951 661 | 0.999 999 321 | >0.999 999 999 | 0.999 999 661 | 3.392 8×10-7 | 0.999 972 873 | 0.000 027 127 |
47 | 0.999 995 680 | 0.999 963 093 | 0.999 999 499 | >0.999 999 999 | 0.999 999 749 | 2.506 2×10-7 | 0.999 979 637 | 0.000 020 363 |
48 | 0.999 996 512 | 0.999 973 182 | 0.999 999 648 | >0.999 999 999 | 0.999 999 824 | 1.760 9×10-7 | 0.999 985 023 | 0.000 014 977 |
49 | 0.999 997 506 | 0.999 978 145 | 0.999 999 715 | >0.999 999 999 | 0.999 999 857 | 1.427 4×10-7 | 0.999 987 969 | 0.000 012 031 |
50 | 0.999 997 931 | 0.999 979 305 | 0.999 999 701 | >0.999 999 999 | 0.999 999 851 | 1.493 4×10-7 | 0.999 988 767 | 0.000 011 233 |
51 | 0.999 998 442 | 0.999 985 379 | 0.999 999 797 | >0.999 999 999 | 0.999 999 898 | 1.016 3×10-7 | 0.999 992 012 | 0.000 007 988 |
52 | 0.999 999 116 | 0.999 987 785 | 0.999 999 832 | >0.999 999 999 | 0.999 999 916 | 8.393 8×10-8 | 0.999 993 535 | 0.000 006 465 |
53 | 0.999 999 215 | 0.999 988 570 | 0.999 999 831 | >0.999 999 999 | 0.999 999 915 | 8.470 2×10-8 | 0.999 993 977 | 0.000 006 023 |
54 | 0.999 999 512 | 0.999 992 686 | 0.999 999 901 | >0.999 999 999 | 0.999 999 950 | 4.950 0×10-8 | 0.999 996 148 | 0.000 003 852 |
55 | 0.999 999 744 | 0.999 993 345 | 0.999 999 907 | >0.999 999 999 | 0.999 999 953 | 4.673 6×10-8 | 0.999 996 591 | 0.000 003 409 |
基因座数 | 灵敏度 | 特异度 | 阳性预测值 | 阴性预测值 | 判断正确率 | 判断错误率 | 系统效能 | 无法判断率 |
---|---|---|---|---|---|---|---|---|
13 | 0.350 108 677 | 0.189 328 015 | 0.999 998 804 | 0.999 835 469 | 0.999 941 471 | 5.852 9×10-5 | 0.269 734 133 | 0.730 265 867 |
14 | 0.418 079 911 | 0.243 336 233 | 0.999 998 133 | 0.999 825 522 | 0.999 934 622 | 6.537 8×10-5 | 0.330 729 695 | 0.669 270 305 |
15 | 0.459 215 986 | 0.296 329 495 | 0.999 998 059 | 0.999 886 151 | 0.999 954 165 | 4.583 5×10-5 | 0.377 790 056 | 0.622 209 944 |
16 | 0.508 360 448 | 0.349 086 517 | 0.999 998 494 | 0.999 887 296 | 0.999 953 219 | 4.678 1×10-5 | 0.428 743 540 | 0.571 256 460 |
17 | 0.562 618 327 | 0.401 094 042 | 0.999 998 333 | 0.999 881 158 | 0.999 949 562 | 5.043 8×10-5 | 0.481 880 490 | 0.518 119 510 |
18 | 0.610 180 318 | 0.452 873 989 | 0.999 998 413 | 0.999 924 878 | 0.999 967 085 | 3.291 5×10-5 | 0.531 544 649 | 0.468 455 351 |
19 | 0.639 823 452 | 0.513 007 217 | 0.999 998 776 | 0.999 910 995 | 0.999 959 712 | 4.028 8×10-5 | 0.576 438 558 | 0.423 561 442 |
20 | 0.687 513 702 | 0.559 203 589 | 0.999 998 985 | 0.999 939 798 | 0.999 972 436 | 2.756 4×10-5 | 0.623 375 828 | 0.376 624 172 |
21 | 0.720 589 371 | 0.598 651 619 | 0.999 998 342 | 0.999 948 187 | 0.999 975 581 | 2.441 9×10-5 | 0.659 636 603 | 0.340 363 397 |
22 | 0.745 270 383 | 0.643 056 949 | 0.999 998 376 | 0.999 944 529 | 0.999 973 434 | 2.656 6×10-5 | 0.694 182 108 | 0.305 817 892 |
23 | 0.772 196 243 | 0.676 935 855 | 0.999 998 355 | 0.999 952 778 | 0.999 977 064 | 2.293 6×10-5 | 0.724 582 668 | 0.275 417 332 |
24 | 0.802 500 841 | 0.720 503 307 | 0.999 998 772 | 0.999 964 138 | 0.999 982 387 | 1.761 3×10-5 | 0.761 515 486 | 0.238 484 514 |
25 | 0.820 281 312 | 0.753 734 448 | 0.999 999 166 | 0.999 964 900 | 0.999 982 757 | 1.724 3×10-5 | 0.787 021 450 | 0.212 978 550 |
26 | 0.838 146 683 | 0.776 004 636 | 0.999 998 895 | 0.999 966 197 | 0.999 983 175 | 1.682 5×10-5 | 0.807 089 238 | 0.192 910 762 |
27 | 0.860 568 749 | 0.807 810 303 | 0.999 999 179 | 0.999 972 937 | 0.999 986 473 | 1.352 7×10-5 | 0.834 200 810 | 0.165 799 190 |
28 | 0.871 172 296 | 0.824 505 726 | 0.999 999 246 | 0.999 969 482 | 0.999 984 774 | 1.522 6×10-5 | 0.847 851 921 | 0.152 148 079 |
29 | 0.888 872 417 | 0.853 568 281 | 0.999 999 472 | 0.999 979 602 | 0.999 989 738 | 1.026 2×10-5 | 0.871 229 289 | 0.128 770 711 |
30 | 0.901 194 013 | 0.866 229 112 | 0.999 999 250 | 0.999 978 277 | 0.999 988 971 | 1.102 9×10-5 | 0.883 721 309 | 0.116 278 691 |
31 | 0.909 098 609 | 0.888 306 925 | 0.999 999 626 | 0.999 978 586 | 0.999 989 228 | 1.077 2×10-5 | 0.898 712 448 | 0.101 287 552 |
32 | 0.922 650 684 | 0.898 685 731 | 0.999 999 523 | 0.999 984 897 | 0.999 992 306 | 7.693 8×10-6 | 0.910 675 214 | 0.089 324 786 |
33 | 0.932 729 799 | 0.910 715 429 | 0.999 999 545 | 0.999 985 362 | 0.999 992 538 | 7.461 6×10-6 | 0.921 729 491 | 0.078 270 509 |
34 | 0.939 677 435 | 0.924 273 539 | 0.999 999 624 | 0.999 986 728 | 0.999 993 229 | 6.770 7×10-6 | 0.931 981 797 | 0.068 018 203 |
35 | 0.946 417 431 | 0.930 692 260 | 0.999 999 601 | 0.999 988 492 | 0.999 994 093 | 5.907 2×10-6 | 0.938 560 390 | 0.061 439 610 |
36 | 0.953 009 363 | 0.943 394 190 | 0.999 999 743 | 0.999 989 230 | 0.999 994 513 | 5.486 9×10-6 | 0.948 206 979 | 0.051 793 021 |
37 | 0.957 099 857 | 0.950 656 211 | 0.999 999 768 | 0.999 990 628 | 0.999 995 213 | 4.786 6×10-6 | 0.953 882 600 | 0.046 117 400 |
38 | 0.962 023 257 | 0.957 538 957 | 0.999 999 828 | 0.999 990 660 | 0.999 995 254 | 4.745 7×10-6 | 0.959 785 662 | 0.040 214 338 |
39 | 0.967 821 320 | 0.963 270 120 | 0.999 999 833 | 0.999 993 073 | 0.999 996 461 | 3.539 2×10-6 | 0.965 549 137 | 0.034 450 863 |
40 | 0.971 360 264 | 0.967 245 895 | 0.999 999 827 | 0.999 993 492 | 0.999 996 666 | 3.333 7×10-6 | 0.969 306 311 | 0.030 693 689 |
41 | 0.972 463 010 | 0.968 946 985 | 0.999 999 774 | 0.999 991 563 | 0.999 995 676 | 4.324 3×10-6 | 0.970 709 195 | 0.029 290 805 |
42 | 0.977 941 514 | 0.976 041 058 | 0.999 999 899 | 0.999 994 536 | 0.999 997 220 | 2.779 7×10-6 | 0.976 994 002 | 0.023 005 998 |
43 | 0.979 826 697 | 0.977 708 043 | 0.999 999 860 | 0.999 995 080 | 0.999 997 473 | 2.527 1×10-6 | 0.978 769 844 | 0.021 230 156 |
44 | 0.981 851 884 | 0.981 432 273 | 0.999 999 904 | 0.999 995 285 | 0.999 997 595 | 2.404 8×10-6 | 0.981 644 440 | 0.018 355 560 |
45 | 0.984 715 862 | 0.983 067 288 | 0.999 999 874 | 0.999 996 133 | 0.999 998 005 | 1.995 3×10-6 | 0.983 893 538 | 0.016 106 462 |
46 | 0.986 573 551 | 0.986 391 348 | 0.999 999 924 | 0.999 996 932 | 0.999 998 429 | 1.571 4×10-6 | 0.986 484 000 | 0.013 516 000 |
47 | 0.987 516 555 | 0.988 822 717 | 0.999 999 942 | 0.999 996 577 | 0.999 998 258 | 1.741 5×10-6 | 0.988 171 357 | 0.011 828 643 |
48 | 0.989 198 988 | 0.988 878 472 | 0.999 999 912 | 0.999 997 234 | 0.999 998 573 | 1.426 9×10-6 | 0.989 040 141 | 0.010 959 859 |
49 | 0.991 080 070 | 0.990 376 503 | 0.999 999 937 | 0.999 998 004 | 0.999 998 971 | 1.029 1×10-6 | 0.990 729 306 | 0.009 270 694 |
50 | 0.991 729 251 | 0.992 056 348 | 0.999 999 949 | 0.999 998 046 | 0.999 998 997 | 1.003 0×10-6 | 0.991 893 795 | 0.008 106 205 |
51 | 0.992 459 690 | 0.992 131 153 | 0.999 999 930 | 0.999 997 729 | 0.999 998 830 | 1.170 4×10-6 | 0.992 296 583 | 0.007 703 417 |
52 | 0.993 032 296 | 0.994 455 211 | 0.999 999 968 | 0.999 997 916 | 0.999 998 941 | 1.059 0×10-6 | 0.993 744 806 | 0.006 255 194 |
53 | 0.994 181 364 | 0.994 855 123 | 0.999 999 966 | 0.999 998 375 | 0.999 999 170 | 8.298 7×10-7 | 0.994 519 069 | 0.005 480 931 |
54 | 0.995 375 055 | 0.995 797 053 | 0.999 999 977 | 0.999 998 908 | 0.999 999 442 | 5.578 6×10-7 | 0.995 586 609 | 0.004 413 391 |
55 | 0.995 973 281 | 0.996 300 369 | 0.999 999 978 | 0.999 999 022 | 0.999 999 500 | 4.999 4×10-7 | 0.996 137 323 | 0.003 862 677 |
Tab. 3 Parameters of detection efficiency for duo full sibling testing using different number of STR systems
基因座数 | 灵敏度 | 特异度 | 阳性预测值 | 阴性预测值 | 判断正确率 | 判断错误率 | 系统效能 | 无法判断率 |
---|---|---|---|---|---|---|---|---|
13 | 0.350 108 677 | 0.189 328 015 | 0.999 998 804 | 0.999 835 469 | 0.999 941 471 | 5.852 9×10-5 | 0.269 734 133 | 0.730 265 867 |
14 | 0.418 079 911 | 0.243 336 233 | 0.999 998 133 | 0.999 825 522 | 0.999 934 622 | 6.537 8×10-5 | 0.330 729 695 | 0.669 270 305 |
15 | 0.459 215 986 | 0.296 329 495 | 0.999 998 059 | 0.999 886 151 | 0.999 954 165 | 4.583 5×10-5 | 0.377 790 056 | 0.622 209 944 |
16 | 0.508 360 448 | 0.349 086 517 | 0.999 998 494 | 0.999 887 296 | 0.999 953 219 | 4.678 1×10-5 | 0.428 743 540 | 0.571 256 460 |
17 | 0.562 618 327 | 0.401 094 042 | 0.999 998 333 | 0.999 881 158 | 0.999 949 562 | 5.043 8×10-5 | 0.481 880 490 | 0.518 119 510 |
18 | 0.610 180 318 | 0.452 873 989 | 0.999 998 413 | 0.999 924 878 | 0.999 967 085 | 3.291 5×10-5 | 0.531 544 649 | 0.468 455 351 |
19 | 0.639 823 452 | 0.513 007 217 | 0.999 998 776 | 0.999 910 995 | 0.999 959 712 | 4.028 8×10-5 | 0.576 438 558 | 0.423 561 442 |
20 | 0.687 513 702 | 0.559 203 589 | 0.999 998 985 | 0.999 939 798 | 0.999 972 436 | 2.756 4×10-5 | 0.623 375 828 | 0.376 624 172 |
21 | 0.720 589 371 | 0.598 651 619 | 0.999 998 342 | 0.999 948 187 | 0.999 975 581 | 2.441 9×10-5 | 0.659 636 603 | 0.340 363 397 |
22 | 0.745 270 383 | 0.643 056 949 | 0.999 998 376 | 0.999 944 529 | 0.999 973 434 | 2.656 6×10-5 | 0.694 182 108 | 0.305 817 892 |
23 | 0.772 196 243 | 0.676 935 855 | 0.999 998 355 | 0.999 952 778 | 0.999 977 064 | 2.293 6×10-5 | 0.724 582 668 | 0.275 417 332 |
24 | 0.802 500 841 | 0.720 503 307 | 0.999 998 772 | 0.999 964 138 | 0.999 982 387 | 1.761 3×10-5 | 0.761 515 486 | 0.238 484 514 |
25 | 0.820 281 312 | 0.753 734 448 | 0.999 999 166 | 0.999 964 900 | 0.999 982 757 | 1.724 3×10-5 | 0.787 021 450 | 0.212 978 550 |
26 | 0.838 146 683 | 0.776 004 636 | 0.999 998 895 | 0.999 966 197 | 0.999 983 175 | 1.682 5×10-5 | 0.807 089 238 | 0.192 910 762 |
27 | 0.860 568 749 | 0.807 810 303 | 0.999 999 179 | 0.999 972 937 | 0.999 986 473 | 1.352 7×10-5 | 0.834 200 810 | 0.165 799 190 |
28 | 0.871 172 296 | 0.824 505 726 | 0.999 999 246 | 0.999 969 482 | 0.999 984 774 | 1.522 6×10-5 | 0.847 851 921 | 0.152 148 079 |
29 | 0.888 872 417 | 0.853 568 281 | 0.999 999 472 | 0.999 979 602 | 0.999 989 738 | 1.026 2×10-5 | 0.871 229 289 | 0.128 770 711 |
30 | 0.901 194 013 | 0.866 229 112 | 0.999 999 250 | 0.999 978 277 | 0.999 988 971 | 1.102 9×10-5 | 0.883 721 309 | 0.116 278 691 |
31 | 0.909 098 609 | 0.888 306 925 | 0.999 999 626 | 0.999 978 586 | 0.999 989 228 | 1.077 2×10-5 | 0.898 712 448 | 0.101 287 552 |
32 | 0.922 650 684 | 0.898 685 731 | 0.999 999 523 | 0.999 984 897 | 0.999 992 306 | 7.693 8×10-6 | 0.910 675 214 | 0.089 324 786 |
33 | 0.932 729 799 | 0.910 715 429 | 0.999 999 545 | 0.999 985 362 | 0.999 992 538 | 7.461 6×10-6 | 0.921 729 491 | 0.078 270 509 |
34 | 0.939 677 435 | 0.924 273 539 | 0.999 999 624 | 0.999 986 728 | 0.999 993 229 | 6.770 7×10-6 | 0.931 981 797 | 0.068 018 203 |
35 | 0.946 417 431 | 0.930 692 260 | 0.999 999 601 | 0.999 988 492 | 0.999 994 093 | 5.907 2×10-6 | 0.938 560 390 | 0.061 439 610 |
36 | 0.953 009 363 | 0.943 394 190 | 0.999 999 743 | 0.999 989 230 | 0.999 994 513 | 5.486 9×10-6 | 0.948 206 979 | 0.051 793 021 |
37 | 0.957 099 857 | 0.950 656 211 | 0.999 999 768 | 0.999 990 628 | 0.999 995 213 | 4.786 6×10-6 | 0.953 882 600 | 0.046 117 400 |
38 | 0.962 023 257 | 0.957 538 957 | 0.999 999 828 | 0.999 990 660 | 0.999 995 254 | 4.745 7×10-6 | 0.959 785 662 | 0.040 214 338 |
39 | 0.967 821 320 | 0.963 270 120 | 0.999 999 833 | 0.999 993 073 | 0.999 996 461 | 3.539 2×10-6 | 0.965 549 137 | 0.034 450 863 |
40 | 0.971 360 264 | 0.967 245 895 | 0.999 999 827 | 0.999 993 492 | 0.999 996 666 | 3.333 7×10-6 | 0.969 306 311 | 0.030 693 689 |
41 | 0.972 463 010 | 0.968 946 985 | 0.999 999 774 | 0.999 991 563 | 0.999 995 676 | 4.324 3×10-6 | 0.970 709 195 | 0.029 290 805 |
42 | 0.977 941 514 | 0.976 041 058 | 0.999 999 899 | 0.999 994 536 | 0.999 997 220 | 2.779 7×10-6 | 0.976 994 002 | 0.023 005 998 |
43 | 0.979 826 697 | 0.977 708 043 | 0.999 999 860 | 0.999 995 080 | 0.999 997 473 | 2.527 1×10-6 | 0.978 769 844 | 0.021 230 156 |
44 | 0.981 851 884 | 0.981 432 273 | 0.999 999 904 | 0.999 995 285 | 0.999 997 595 | 2.404 8×10-6 | 0.981 644 440 | 0.018 355 560 |
45 | 0.984 715 862 | 0.983 067 288 | 0.999 999 874 | 0.999 996 133 | 0.999 998 005 | 1.995 3×10-6 | 0.983 893 538 | 0.016 106 462 |
46 | 0.986 573 551 | 0.986 391 348 | 0.999 999 924 | 0.999 996 932 | 0.999 998 429 | 1.571 4×10-6 | 0.986 484 000 | 0.013 516 000 |
47 | 0.987 516 555 | 0.988 822 717 | 0.999 999 942 | 0.999 996 577 | 0.999 998 258 | 1.741 5×10-6 | 0.988 171 357 | 0.011 828 643 |
48 | 0.989 198 988 | 0.988 878 472 | 0.999 999 912 | 0.999 997 234 | 0.999 998 573 | 1.426 9×10-6 | 0.989 040 141 | 0.010 959 859 |
49 | 0.991 080 070 | 0.990 376 503 | 0.999 999 937 | 0.999 998 004 | 0.999 998 971 | 1.029 1×10-6 | 0.990 729 306 | 0.009 270 694 |
50 | 0.991 729 251 | 0.992 056 348 | 0.999 999 949 | 0.999 998 046 | 0.999 998 997 | 1.003 0×10-6 | 0.991 893 795 | 0.008 106 205 |
51 | 0.992 459 690 | 0.992 131 153 | 0.999 999 930 | 0.999 997 729 | 0.999 998 830 | 1.170 4×10-6 | 0.992 296 583 | 0.007 703 417 |
52 | 0.993 032 296 | 0.994 455 211 | 0.999 999 968 | 0.999 997 916 | 0.999 998 941 | 1.059 0×10-6 | 0.993 744 806 | 0.006 255 194 |
53 | 0.994 181 364 | 0.994 855 123 | 0.999 999 966 | 0.999 998 375 | 0.999 999 170 | 8.298 7×10-7 | 0.994 519 069 | 0.005 480 931 |
54 | 0.995 375 055 | 0.995 797 053 | 0.999 999 977 | 0.999 998 908 | 0.999 999 442 | 5.578 6×10-7 | 0.995 586 609 | 0.004 413 391 |
55 | 0.995 973 281 | 0.996 300 369 | 0.999 999 978 | 0.999 999 022 | 0.999 999 500 | 4.999 4×10-7 | 0.996 137 323 | 0.003 862 677 |
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