Literature DB >> 31667227

Data on likelihood ratios of two-person DNA mixtures interpreted using semi- and fully continuous systems.

Jae Joseph Russell B Rodriguez1,2, Jo-Anne Bright3, Jazelyn M Salvador1, Rita P Laude2, Maria Corazon A De Ungria1.   

Abstract

In the paper, "Probabilistic approaches to interpreting two-person DNA mixtures from post-coital specimens" [1], we analysed 102 two-person DNA samples from simulated mixtures and male-female and male-male post-coital specimens. We report here data on profile characteristics of these samples and likelihood ratios (LRs) generated using semi- and fully continuous systems. Both log10 LRs from true and non-contributor tests are presented. These data may supplement studies comparing performance of different probabilistic systems for DNA evidence interpretation.
© 2019 The Authors.

Entities:  

Keywords:  Continuous systems; DNA mixtures; Likelihood ratios; Post-coital samples; Probabilistic systems

Year:  2019        PMID: 31667227      PMCID: PMC6811899          DOI: 10.1016/j.dib.2019.104455

Source DB:  PubMed          Journal:  Data Brief        ISSN: 2352-3409


Specifications Table The mixture profile characteristics of samples vis-à-vis corresponding likelihood ratios (LRs) can be used to investigate how the LR is affected by factors such as the number of drop-outs, average peak height, and mixture proportion of the person-of-interest (POI). The LRs presented can add to data comparing performance of different software for mixture interpretation. The dataset can be used in inter-laboratory comparisons employing different mixture interpretation strategies.

Data

Data on the quality of two-person DNA samples from simulated mixtures and post-coital samples are presented in Table 1. These mixtures were analysed using the LRmix Studio [2] and STRmix™ [3]. We present LRs from true contributor tests conditioned on the presence of a known contributor (H1 true LRs) (Table 2). We further report a summary of non-contributor tests (Table 3) and attach a list of all non-zero log10 H2 true LRs calculated using STRmix™ (Supplementary material).
Table 1

Characteristics of 102 two-person mixture samples analysed using LRmix Studio and STRmix™.

Sample IDMixture TypeSample TypeReceptive Partner drop-outsPOI drop-outsTotal no. of drop-outsConservative Pr(D)APH POI (RFU)Mx Receptive PartnerMx POI
MF_Swb1_Orgmale-femaleSwab0000.2535255446
MF_Swb1_Silmale-femaleSwab0000.2560944852
MF_Swb1_FTAmale-femaleSwab0110.278407228
MF_Swb2_Orgmale-femaleSwab0000.2539008218
MF_Swb2_Silmale-femaleSwab0000.2683065347
MF_Swb2_FTAmale-femaleSwab716230.594393367
MF_Swb3_Orgmale-femaleSwab0000.2542798020
MF_Swb3_Silmale-femaleSwab0000.2538516733
MF_Swb3_FTAmale-femaleSwab0220.2913957426
MF_Swb4_Orgmale-femaleSwab0000.251433946
MF_Swb4_Silmale-femaleSwab0000.2582355149
MF_Swb4_FTAmale-femaleSwab0000.2534165941
MF_Swb5_Orgmale-femaleSwab0000.2610,8865941
MF_Swb5_Silmale-femaleSwab0000.2535554951
MF_Swb5_FTAmale-femaleSwab0000.2540808119
MF_Stn1a_Orgmale-femaleStain0000.2641784357
MF_Stn1a_Silmale-femaleStain5050.368231991
MF_Stn1b_Orgmale-femaleStain0000.2536863961
MF_Stn1b_Silmale-femaleStain110110.461279595
MF_Stn1c_Orgmale-femaleStain1010.2767881486
MF_Stn1c_Silmale-femaleStain8080.427661298
MF_Stn1d_Orgmale-femaleStain0000.2525658218
MF_Stn1d_Silmale-femaleStain0000.2693942476
MF_Stn1e_Orgmale-femaleStain1010.2812,0111684
MF_Stn1e_Silmale-femaleStain7070.47538496
MF_Stn2a_Orgmale-femaleStain0880.14349937
MF_Stn2a_Silmale-femaleStain0000.2520487921
MF_Stn2b_Orgmale-femaleStain0990.1679964
MF_Stn2b_Silmale-femaleStain0000.2524567822
MF_Stn2c_Orgmale-femaleStain0990.17360955
MF_Stn2c_Silmale-femaleStain0000.2515418020
MF_Stn2d_Orgmale-femaleStain0550.09405955
MF_Stn2d_Silmale-femaleStain0000.2619057525
MF_Stn2e_Orgmale-femaleStain0220.29499955
MF_Stn2e_Silmale-femaleStain0000.2525435941
MF_Cdm1_Ext1_Orgmale-femaleCondom0220.315497921
MF_Cdm1_Ext1_Silmale-femaleCondom013130.2219973
MF_Cdm1_Ext2_Orgmale-femaleCondom011110.2263991
MF_Cdm1_Ext2_Silmale-femaleCondom010100.18188982
MF_Cdm2_Ext1_Orgmale-femaleCondom1780.12443928
MF_Cdm2_Ext1_Silmale-femaleCondom0440.06611919
MF_Cdm2_Ext2_Orgmale-femaleCondom0660.1461946
MF_Cdm2_Ext2_Silmale-femaleCondom0660.1698919
MF_Cdm2_Int2_Orgmale-femaleCondom120120.494931298
MF_Cdm2_Int2_Qiamale-femaleCondom150150.538861199
MM_Swb1_Orgmale-maleSwab1815330.5941551486
MM_Swb1_Silmale-maleSwab3010400.73868713
MM_Swb1_FTAmale-maleSwab188260.552964654
MM_Swb2_Orgmale-maleSwab5160.2324533070
MM_Swb2_Silmale-maleSwab1010.1230981486
MM_Swb2_FTAmale-maleSwab58130.0810167129
MM_Swb3_Orgmale-maleSwab5050.230002377
MM_Swb3_Silmale-maleSwab287350.69124991
MM_Swb3_FTAmale-maleSwab0000.124438614
MM_Swb4_Orgmale-maleSwab2415390.6780100100
MM_Swb4_Silmale-maleSwab190190.4714480100
MM_Swb4_FTAmale-maleSwab0880.03319937
MM_Swb5_Orgmale-maleSwab160160.424470397
MM_Swb5_Silmale-maleSwab130130.378273298
MM_Swb5_FTAmale-maleSwab0000.1126513862
MM_Stn1a_Orgmale-maleStain0000.1131288713
MM_Stn1a_Silmale-maleStain014140.1223991
MM_Stn1b_Orgmale-maleStain015150.14113991
MM_Stn1b_Silmale-maleStain730370.461991
MM_Stn2a_Orgmale-maleStain0000.1172684654
MM_Stn2a_Silmale-maleStain8080.2726332476
MM_Stn2b_Orgmale-maleStain0000.1114,7603961
MM_Stn2b_Silmale-maleStain7070.2514362971
MM_Stn2c_Orgmale-maleStain0000.1117,5314753
MM_Stn2c_Silmale-maleStain3030.1655431387
MM_Stn2d_Orgmale-maleStain0000.1113,4853862
MM_Stn2d_Silmale-maleStain5050.258011585
MM_Stn2e_Orgmale-maleStain0000.1110,7633268
MM_Stn2e_Silmale-maleStain5050.2139861189
MM_Stn2f_Orgmale-maleStain0000.1116,2305149
MM_Stn2f_Silmale-maleStain4040.1828581387
MM_Stn2g_Orgmale-maleStain0000.1112,7283961
MM_Stn2g_Silmale-maleStain9090.2913351288
MM_Stn2h_Orgmale-maleStain4040.1830684753
MM_Stn2h_Silmale-maleStain160160.41878694
MM_Cdm1_Ext1_Orgmale-maleCondom014140.1190991
MM_Cdm1_Ext2_Orgmale-maleCondom016160.1545973
MM_Cdm2_Ext1_Orgmale-maleCondom022220.2711000
MM_Cdm2_Ext2_Orgmale-maleCondom014140.12105991
SMx_1:19_aSimulated mixtureSimulated Mixture0000.08821973
SMx_1:19_bSimulated mixtureSimulated Mixture0000.06611973
SMx_1:9_aSimulated mixtureSimulated Mixture0000.071860946
SMx_1:9_bSimulated mixtureSimulated Mixture0000.081485937
SMx_1:4_aSimulated mixtureSimulated Mixture0000.0653218614
SMx_1:4_bSimulated mixtureSimulated Mixture0000.0723338515
SMx_1:2_aSimulated mixtureSimulated Mixture0000.0847667327
SMx_1:2_bSimulated mixtureSimulated Mixture0000.0647557525
SMx_1:1_aSimulated mixtureSimulated Mixture0000.0888095644
SMx_1:1_bSimulated mixtureSimulated Mixture0000.0884235446
SMx_2:1_aSimulated mixtureSimulated Mixture0000.111,0064555
SMx_2:1_bSimulated mixtureSimulated Mixture0000.0676014159
SMx_4:1_aSimulated mixtureSimulated Mixture0000.0610,2232773
SMx_4:1_bSimulated mixtureSimulated Mixture0000.0711,2802971
SMx_9:1_aSimulated mixtureSimulated Mixture0000.0717,3811585
SMx_9:1_bSimulated mixtureSimulated Mixture0000.0815,2141585
SMx_19:1_aSimulated mixtureSimulated Mixture0000.114,273595
SMx_19:1_bSimulated mixtureSimulated Mixture0000.0612,743793

POI: person of interest; Pr(D): probability of drop-out; APH: average peak height; RFU: relative fluorescence units; Mx: mixture proportion.

Table 2

H1 true LRs calculated using LRmix and STRmix™.

Sample IDLRmix
STRmix™
LRLog10 LRLRLog10 LR
MF_Swb1_Org5.16E+1515.718.26E+2222.92
MF_Swb1_Sil5.16E+1515.719.86E+2222.99
MF_Swb1_FTA1.21E+1414.081.24E+1616.09
MF_Swb2_Org5.16E+1515.714.43E+2020.65
MF_Swb2_Sil4.52E+1515.659.85E+2222.99
MF_Swb2_FTA1.36E+055.133.60E+000.56
MF_Swb3_Org5.16E+1515.718.99E+2020.95
MF_Swb3_Sil5.16E+1515.712.34E+1818.37
MF_Swb3_FTA2.61E+1414.422.12E+1717.33
MF_Swb4_Org5.16E+1515.711.75E+2020.24
MF_Swb4_Sil5.16E+1515.711.17E+2222.07
MF_Swb4_FTA5.16E+1515.715.55E+2222.74
MF_Swb5_Org4.52E+1515.651.32E+2121.12
MF_Swb5_Sil5.16E+1515.719.32E+2222.97
MF_Swb5_FTA5.16E+1515.711.71E+2121.23
MF_Stn1a_Org4.52E+1515.658.45E+2222.93
MF_Stn1a_Sil3.97E+1515.605.94E+2222.77
MF_Stn1b_Org5.16E+1515.719.55E+2222.98
MF_Stn1b_Sil2.32E+1515.375.98E+2222.78
MF_Stn1c_Org5.43E+1515.739.91E+2223.00
MF_Stn1c_Sil1.84E+1515.269.64E+2222.98
MF_Stn1d_Org5.16E+1515.711.82E+2121.26
MF_Stn1d_Sil4.52E+1515.656.94E+2222.84
MF_Stn1e_Org3.99E+1515.601.01E+2323.00
MF_Stn1e_Sil2.32E+1515.378.90E+2222.95
MF_Stn2a_Org7.44E+077.872.67E+055.43
MF_Stn2a_Sil5.16E+1515.718.20E+1919.91
MF_Stn2b_Org1.73E+077.247.17E+044.86
MF_Stn2b_Sil5.16E+1515.713.77E+2020.58
MF_Stn2c_Org1.95E+066.292.73E+022.44
MF_Stn2c_Sil5.16E+1515.711.02E+2020.01
MF_Stn2d_Org2.70E+099.434.79E+088.68
MF_Stn2d_Sil4.52E+1515.652.73E+2020.44
MF_Stn2e_Org1.48E+1414.171.95E+1212.29
MF_Stn2e_Sil5.16E+1515.711.50E+2020.18
MF_Cdm1_Ext1_Org1.64E+1414.211.43E+1414.16
MF_Cdm1_Ext1_Sil4.27E+033.632.11E+033.32
MF_Cdm1_Ext2_Org1.16E+055.061.14E+011.06
MF_Cdm1_Ext2_Sil1.85E+066.271.37E+044.14
MF_Cdm2_Ext1_Org6.24E+077.801.94E+077.29
MF_Cdm2_Ext1_Sil9.22E+099.968.52E+088.93
MF_Cdm2_Ext2_Org8.38E+088.921.34E+099.13
MF_Cdm2_Ext2_Sil8.90E+088.951.11E+099.04
MF_Cdm2_Int2_Org2.00E+1515.305.48E+2020.74
MF_Cdm2_Int2_Qia1.14E+1515.063.56E+2121.55
MM_Swb1_Org5.13E+088.715.24E+1111.72
MM_Swb1_Sil8.86E+099.953.63E+099.56
MM_Swb1_FTA9.82E+1010.993.56E+1313.55
MM_Swb2_Org4.25E+1414.634.04E+2020.61
MM_Swb2_Sil6.29E+1515.801.14E+2222.06
MM_Swb2_FTA5.80E+099.762.51E+1313.40
MM_Swb3_Org6.08E+1515.781.01E+2222.01
MM_Swb3_Sil2.86E+1111.461.05E+1111.02
MM_Swb3_FTA6.19E+1515.796.74E+1818.83
MM_Swb4_Org4.82E+088.682.40E+1313.38
MM_Swb4_Sil5.57E+1515.751.14E+2222.06
MM_Swb4_FTA2.50E+044.403.89E+077.59
MM_Swb5_Org7.43E+1515.871.05E+2222.02
MM_Swb5_Sil4.66E+1515.671.02E+2222.01
MM_Swb5_FTA6.89E+1515.841.82E+2121.26
MM_Stn1a_Org6.89E+1515.848.69E+1515.94
MM_Stn1a_Sil7.55E+000.881.23E+022.09
MM_Stn1b_Org2.67E+000.431.01E+011.00
MM_Stn1b_Sil1.98E-04−3.701.60E+000.20
MM_Stn2a_Org6.89E+1515.841.15E+2222.06
MM_Stn2a_Sil3.77E+1515.586.52E+2121.81
MM_Stn2b_Org6.89E+1515.841.16E+2222.06
MM_Stn2b_Sil5.90E+1515.772.62E+2121.42
MM_Stn2c_Org6.89E+1515.841.16E+2222.06
MM_Stn2c_Sil5.13E+1515.711.11E+2222.05
MM_Stn2d_Org6.89E+1515.849.41E+2121.97
MM_Stn2d_Sil1.06E+1616.028.31E+2121.92
MM_Stn2e_Org6.89E+1515.841.06E+2222.03
MM_Stn2e_Sil9.38E+1515.973.55E+2121.55
MM_Stn2f_Org6.89E+1515.841.16E+2222.06
MM_Stn2f_Sil4.18E+1515.627.49E+2121.87
MM_Stn2g_Org6.89E+1515.841.15E+2222.06
MM_Stn2g_Sil5.60E+1515.759.81E+2121.99
MM_Stn2h_Org5.52E+1515.748.30E+2121.92
MM_Stn2h_Sil2.84E+1515.451.50E+2121.18
MM_Cdm1_Ext1_Org1.61E+011.212.02E+033.30
MM_Cdm1_Ext2_Org3.63E-01−0.441.11E+022.05
MM_Cdm2_Ext1_Org1.58E-02−1.806.01E-01−0.22
MM_Cdm2_Ext2_Org3.53E+011.555.19E+011.71
SMx_1:19_a8.38E+2222.923.92E+1919.59
SMx_1:19_b1.00E+2323.002.34E+1717.37
SMx_1:9_a9.16E+2222.962.64E+2424.42
SMx_1:9_b8.38E+2222.923.52E+2121.55
SMx_1:4_a1.00E+2323.004.02E+2323.60
SMx_1:4_b9.16E+2222.963.46E+2525.54
SMx_1:2_a8.38E+2222.924.41E+2525.64
SMx_1:2_b1.00E+2323.001.71E+2525.23
SMx_1:1_a8.38E+2222.926.25E+2525.80
SMx_1:1_b8.38E+2222.926.26E+2525.80
SMx_2:1_a7.04E+2222.856.26E+2525.80
SMx_2:1_b1.00E+2323.006.26E+2525.80
SMx_4:1_a1.00E+2323.006.26E+2525.80
SMx_4:1_b9.16E+2222.966.26E+2525.80
SMx_9:1_a9.16E+2222.966.26E+2525.80
SMx_9:1_b8.38E+2222.926.26E+2525.80
SMx_19:1_a7.04E+2222.856.26E+2525.80
SMx_19:1_b1.00E+2323.006.26E+2525.80
Table 3

Summary of H2 true tests results for LRmix and STRmix™.

Sample IDLRmix
STRmix™
Min0.010.500.99MaxNo. of H2 true LRs > H1 true LRNo. of H2 true tests>1No. of H2 true LRs > H1 true LRNo. of H2 true LRs>1
MF_Swb1_Org−40.97−36.01−25.71−14.12−9.010000
MF_Swb1_Sil−42.98−36.51−25.67−13.90−5.880000
MF_Swb1_FTA−38.47−33.84−23.66−12.44−2.620000
MF_Swb2_Org−40.41−36.01−25.61−14.41−7.150000
MF_Swb2_Sil−42.44−35.47−25.31−14.20−6.990000
MF_Swb2_FTA−15.40−12.93−7.96−1.932.130700
MF_Swb3_Org−42.73−36.38−25.53−13.85−6.150000
MF_Swb3_Sil−41.04−35.95−25.70−13.99−7.010000
MF_Swb3_FTA−37.40−32.14−22.51−11.82−5.200000
MF_Swb4_Org−41.83−36.38−25.58−13.84−6.440000
MF_Swb4_Sil−40.73−36.23−25.64−14.19−7.730000
MF_Swb4_FTA−43.76−36.20−25.73−13.99−6.330000
MF_Swb5_Org−40.44−35.60−25.28−13.72−3.360000
MF_Swb5_Sil−41.02−36.02−25.75−14.33−7.980000
MF_Swb5_FTA−40.59−36.05−25.72−14.27−7.490000
MF_Stn1a_Org−41.39−35.76−25.26−13.90−6.220000
MF_Stn1a_Sil−37.23−31.97−22.61−12.25−6.370000
MF_Stn1b_Org−42.36−36.57−25.70−14.09−6.750000
MF_Stn1b_Sil−34.04−29.78−20.64−10.77−2.930000
MF_Stn1c_Org−42.03−35.53−25.17−13.60−6.790000
MF_Stn1c_Sil−36.57−30.42−21.53−11.38−4.940000
MF_Stn1d_Org−41.58−36.46−25.64−14.22−8.700000
MF_Stn1d_Sil−42.51−35.68−25.19−13.91−6.580000
MF_Stn1e_Org−39.25−34.64−24.63−13.21−8.170000
MF_Stn1e_Sil−35.86−31.17−21.90−11.54−5.260000
MF_Stn2a_Org−35.92−30.77−20.72−10.37−5.260000
MF_Stn2a_Sil−41.51−35.91−25.67−14.35−8.750000
MF_Stn2b_Org−34.65−29.45−19.92−9.76−2.130002
MF_Stn2b_Sil−41.83−35.99−25.75−14.00−3.790000
MF_Stn2c_Org−34.30−28.46−18.97−8.78−1.030000
MF_Stn2c_Sil−42.64−36.13−25.63−14.28−6.530000
MF_Stn2d_Org−47.90−40.61−28.47−15.79−7.550000
MF_Stn2d_Sil−40.71−35.79−25.35−14.02−5.730000
MF_Stn2e_Org−38.12−32.51−22.53−12.05−3.740000
MF_Stn2e_Sil−40.81−36.36−25.68−14.17−8.460000
MF_Cdm1_Ext1_Org−34.82−31.65−21.91−11.39−5.150000
MF_Cdm1_Ext1_Sil−26.25−21.86−14.03−5.20−0.640007
MF_Cdm1_Ext2_Org−29.25−24.07−15.90−6.79−1.090013
MF_Cdm1_Ext2_Sil−31.41−26.45−17.57−7.880.240103
MF_Cdm2_Ext1_Org−41.42−36.59−24.85−12.76−3.700000
MF_Cdm2_Ext1_Sil−53.32−47.11−33.34−18.71−10.730000
MF_Cdm2_Ext2_Org−44.68−38.81−26.87−14.26−7.420000
MF_Cdm2_Ext2_Sil−45.14−38.61−26.92−14.42−8.180000
MF_Cdm2_Int2_Org−33.90−28.60−19.87−10.16−4.670000
MF_Cdm2_Int2_Qia−32.66−27.40−18.95−9.27−3.480000
MM_Swb1_Org−20.97−17.92−10.87−3.390.980700
MM_Swb1_Sil−20.12−17.51−10.88−3.550.49010697
MM_Swb1_FTA−26.42−21.79−13.96−5.410.820100
MM_Swb2_Org−42.19−37.93−25.84−13.33−5.200000
MM_Swb2_Sil−52.13−45.14−31.40−17.59−10.870000
MM_Swb2_FTA−53.81−43.86−31.19−17.12−7.990000
MM_Swb3_Org−47.75−40.03−28.07−15.49−8.700000
MM_Swb3_Sil−23.98−19.58−12.24−4.571.78030853
MM_Swb3_FTA−53.68−44.65−31.27−17.16−7.580000
MM_Swb4_Org−19.79−16.57−10.16−3.002.190600
MM_Swb4_Sil−37.33−32.06−21.91−11.12−4.160000
MM_Swb4_FTA−58.09−49.92−35.01−19.93−7.310000
MM_Swb5_Org−38.85−33.24−22.84−11.64−2.830000
MM_Swb5_Sil−41.56−34.54−23.73−12.21−6.590000
MM_Swb5_FTA−55.63−45.34−31.72−17.52−6.550000
MM_Stn1a_Org−54.18−45.53−31.64−17.78−8.190000
MM_Stn1a_Sil−36.33−30.49−19.99−8.95−2.01001791
MM_Stn1b_Org−31.99−28.08−18.01−7.78−0.740005
MM_Stn1b_Sil−8.00−6.10−2.900.492.65725324328774529
MM_Stn2a_Org−54.04−45.44−31.89−17.65−10.810000
MM_Stn2a_Sil−44.89−37.79−26.37−14.26−6.410000
MM_Stn2b_Org−52.96−45.44−31.87−17.38−9.800000
MM_Stn2b_Sil−45.53−38.91−27.37−15.04−7.500000
MM_Stn2c_Org−52.26−45.62−31.87−18.24−9.420000
MM_Stn2c_Sil−49.97−42.54−29.55−16.40−6.370000
MM_Stn2d_Org−51.69−44.90−31.87−17.63−9.110000
MM_Stn2d_Sil−47.42−40.79−28.65−15.54−8.420000
MM_Stn2e_Org−50.46−45.19−31.94−18.12−9.680000
MM_Stn2e_Sil−48.87−39.46−27.36−14.62−5.570000
MM_Stn2f_Org−50.68−45.37−31.85−17.70−6.650000
MM_Stn2f_Sil−40.90−41.59−29.32−16.31−9.150000
MM_Stn2g_Org−53.92−45.26−31.75−17.86−10.470000
MM_Stn2g_Sil−42.06−36.75−25.40−13.47−7.040000
MM_Stn2h_Org−52.52−41.63−29.36−15.89−9.790000
MM_Stn2h_Sil−40.25−33.46−23.04−11.82−6.220000
MM_Cdm1_Ext1_Org−36.48−29.95−19.85−9.21−4.1200025
MM_Cdm1_Ext2_Org−31.09−25.75−16.18−6.541.38218180
MM_Cdm2_Ext1_Org−20.62−16.51−9.98−2.681.6439479173984
MM_Cdm2_Ext2_Org−35.48−29.62−18.99−8.66−2.35001164
SMx_1:19_a−71.60−60.14−45.59−29.91−19.190000
SMx_1:19_b−71.65−63.10−47.77−32.21−22.810000
SMx_1:9_a−69.13−61.60−46.76−31.14−20.430000
SMx_1:9_b−72.99−60.33−45.87−30.39−21.760000
SMx_1:4_a−72.58−63.24−47.95−31.72−20.330000
SMx_1:4_b−71.12−61.80−46.65−31.02−21.720000
SMx_1:2_a−71.26−60.72−45.77−30.50−19.360000
SMx_1:2_b−76.62−63.02−47.79−31.81−22.250000
SMx_1:1_a−71.07−59.78−45.54−29.73−21.460000
SMx_1:1_b−68.92−60.00−45.70−30.54−23.250000
SMx_2:1_a−61.20−56.37−43.97−29.71−25.250000
SMx_2:1_b−74.76−63.15−47.97−31.93−20.580000
SMx_4:1_a−70.77−62.69−47.92−31.73−24.260000
SMx_4:1_b−71.67−62.21−46.78−30.80−21.890000
SMx_9:1_a−71.76−61.80−46.69−31.17−19.780000
SMx_9:1_b−67.94−60.62−45.88−30.01−18.860000
SMx_19:1_a−64.29−57.99−43.93−29.18−17.340000
SMx_19:1_b−70.51−62.95−47.84−31.46−22.290000
Characteristics of 102 two-person mixture samples analysed using LRmix Studio and STRmix™. POI: person of interest; Pr(D): probability of drop-out; APH: average peak height; RFU: relative fluorescence units; Mx: mixture proportion. H1 true LRs calculated using LRmix and STRmix™. Summary of H2 true tests results for LRmix and STRmix™.

Experimental design, materials and methods

Ethical clearance was issued by the University of the Philippines Manila Research Ethics Board (UPMREB Code: 2012-321-01). All sample donors provided written informed consent to participate. Various post-coital specimens (vaginal and anal swabs, undergarment cuttings, internal and external condom swabs) were obtained from a male-female and a male-male pair. Simulated two-person mixtures from a different male-female pair were also prepared at known proportions. Details on sample collection and processing can be found in Ref. [1]. Briefly, DNA samples were amplified using the PowerPlex® 21 system that targets 20 short tandem repeat (STR) loci then separated and detected using the AB® 3500 Genetic Analyzer (Thermo Fisher Scientific). GeneMapper® ID-X v.1.2 (Thermo Fisher Scientific) was used to generate and analyze electropherograms. A total of 102 two-person mixtures of variable quality were available for interpretation. Likelihood ratios were calculated using LRmix Studio v.2.1.3 [2] and STRmix™ v.2.5.11 [3]. LRmix employs a semi-continuous approach incorporating probabilities of drop-out and drop-in Ref. [4], while STRmix™ is a fully continuous system. It models peak height variation [3], [5], exponential degradation [6], [7], drop-in following a gamma distribution [8], and allele-specific stuttering [5], [9], [10]. It also reports mixture proportions according to Clayton and Buckleton [11]. Both use the Balding and Nichols’ equations (recommendation 4.2 of NRC II) as population genetic model [12], [13]. LRmix does not model stuttering, thus stutter filters were applied. However unlabelled peaks on stutter positions where an allele was expected were manually called to avoid inconsistent decisions on assigning short peaks either as allele or stutter. LRs were calculated using a Pr(D) determined by the software which results in the lowest LR. For STRmix™, stutter peaks were included in the input files. Other specific parameters used in operating the software can be found in Ref. [1]. All computations used Philippine population allele frequencies [14] and a 0.03 subpopulation correction factor (θ) [15]. Calculations were conditioned on the presence of the female or the receptive partner's profile. The following propositions were evaluated: Person A and person B both contributed to the DNA mixture. Person B and an unknown, unrelated person contributed to the mixture.where person A is the POI or penetrative partner contributor to the mixture, while person B is the receptive partner. For the simulated mixtures, Persons A and B are the male and the female sources of DNA, respectively. We further conducted non-contributor tests [16] for each interpretation system. This was done by replacing the POI 10,000 times with a randomly generated profile (H2 is true) from Philippine population allele frequencies [14]. LRmix Studio shows for each test the values for the minimum, maximum, as well as the 1st, 50th, and 99th percentiles among 10,000 LRs calculated, while STRmix™ reports all LR values.

Specifications Table

Subject areaGenetics
More specific subject areaForensic Genetics
Type of dataTables
How data was acquiredGeneMapper® ID-X v.1.2, LRmix Studio v.2.1.3, STRmixTM v.2.5.11
Data formatRaw and Analysed
Experimental factorsSimulated two-person mixtures at different contributor ratios, various post-coital samples extracted using three DNA extraction procedures
Experimental featuresLikelihood ratios for true and non-contributors to the two-person mixtures were generated using semi- and fully continuous systems for DNA interpretation.
Data source locationQuezon City, Philippines
Data accessibilityRaw and analysed data are presented in this article and attached asSupplementary Material.
Related research articleJ.J.R.B. Rodriguez, J.A. Bright, J.M. Salvador, R.P. Laude, M.C.A. De Ungria, Probabilistic approaches to interpreting two-person DNA mixtures from post-coital specimens, Forensic Sci. Int. 300 (2019) 157–163. https://doi.org/10.1016/j.forsciint.2019.04.037 0379-0738[1]
Value of the data

The mixture profile characteristics of samples vis-à-vis corresponding likelihood ratios (LRs) can be used to investigate how the LR is affected by factors such as the number of drop-outs, average peak height, and mixture proportion of the person-of-interest (POI).

The LRs presented can add to data comparing performance of different software for mixture interpretation.

The dataset can be used in inter-laboratory comparisons employing different mixture interpretation strategies.

  13 in total

1.  Investigation into the performance of different models for predicting stutter.

Authors:  Jo-Anne Bright; James M Curran; John S Buckleton
Journal:  Forensic Sci Int Genet       Date:  2013-05-21       Impact factor: 4.882

2.  The interpretation of single source and mixed DNA profiles.

Authors:  Duncan Taylor; Jo-Anne Bright; John Buckleton
Journal:  Forensic Sci Int Genet       Date:  2013-06-28       Impact factor: 4.882

3.  Characterising stutter in forensic STR multiplexes.

Authors:  Clare Brookes; Jo-Anne Bright; SallyAnn Harbison; John Buckleton
Journal:  Forensic Sci Int Genet       Date:  2011-03-08       Impact factor: 4.882

4.  Exploratory data analysis for the interpretation of low template DNA mixtures.

Authors:  H Haned; K Slooten; P Gill
Journal:  Forensic Sci Int Genet       Date:  2012-09-13       Impact factor: 4.882

5.  Developing allelic and stutter peak height models for a continuous method of DNA interpretation.

Authors:  Jo-Anne Bright; Duncan Taylor; James M Curran; John S Buckleton
Journal:  Forensic Sci Int Genet       Date:  2013-01-11       Impact factor: 4.882

6.  Utilising allelic dropout probabilities estimated by logistic regression in casework.

Authors:  John Buckleton; Hannah Kelly; Jo-Anne Bright; Duncan Taylor; Torben Tvedebrink; James M Curran
Journal:  Forensic Sci Int Genet       Date:  2013-12-08       Impact factor: 4.882

7.  A dropin peak height model.

Authors:  Roberto Puch-Solis
Journal:  Forensic Sci Int Genet       Date:  2014-02-28       Impact factor: 4.882

8.  Probabilistic approaches to interpreting two-person DNA mixtures from post-coital specimens.

Authors:  Jae Joseph Russell B Rodriguez; Jo-Anne Bright; Jazelyn M Salvador; Rita P Laude; Maria Corazon A De Ungria
Journal:  Forensic Sci Int       Date:  2019-05-07       Impact factor: 2.395

9.  DNA profile match probability calculation: how to allow for population stratification, relatedness, database selection and single bands.

Authors:  D J Balding; R A Nichols
Journal:  Forensic Sci Int       Date:  1994-02       Impact factor: 2.395

10.  Worldwide F(ST) estimates relative to five continental-scale populations.

Authors:  Christopher D Steele; Denise Syndercombe Court; David J Balding
Journal:  Ann Hum Genet       Date:  2014-11       Impact factor: 1.670

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.