Multi-laboratory validation of DNAxs including the statistical library DNAStatistX

被引:5
作者
Benschop, Corina C. G. [1 ]
Hoogenboom, Jerry [1 ]
Bargeman, Fiep [1 ]
Hovers, Pauline [1 ]
Slagter, Martin [1 ]
van der Linden, Jennifer [1 ]
Parag, Raymond [1 ]
Kruise, Dennis [2 ]
Drobnic, Katja [3 ]
Klucevsek, Gregor [3 ]
Parson, Walther [4 ,5 ]
Berger, Burkhard [4 ]
Laurent, Francois Xavier [6 ]
Faivre, Magalie [6 ]
Ulus, Ayhan [6 ]
Schneider, Peter [7 ]
Bogus, Magdalena [7 ]
Kneppers, Alexander L. J. [1 ]
Sijen, Titia [1 ]
机构
[1] Netherlands Forens Inst, Div Biol Traces, Laan Van Ypenburg 6, NL-2497 GB The Hague, Netherlands
[2] Netherlands Forens Inst, Div Digital & Biometr Traces, The Hague, Netherlands
[3] Minist Interior, Natl Forens Lab, Ljubljana, Slovenia
[4] Med Univ Innsbruck, Inst Legal Med, Innsbruck, Austria
[5] Penn State Univ, Forens Sci Program, University Pk, PA USA
[6] Inst Natl Police Sci, Ecully, France
[7] Univ Hosp Cologne, Inst Legal Med, Div Forens Mol Genet, Cologne, Germany
关键词
DNA profile interpretation; Likelihood ratio; Continuous model; Validation; DNAxs; DNAStatistX; SOFTWARE; CONTRIBUTORS;
D O I
10.1016/j.fsigen.2020.102390
中图分类号
Q3 [遗传学];
学科分类号
071007 ; 090102 ;
摘要
This study describes a multi-laboratory validation of DNAxs, a DNA eXpert System for the data management and probabilistic interpretation of DNA profiles D. and its statistical library DNAStatistX to which, besides the organising laboratory, four laboratories participated. The software was modified to read multiple data formats and the study was performed prior to the release of the software to the forensic community. The first exercise explored all main functionalities of DNAxs with feedback on user-friendliness, installation and general performance. Next, every laboratory performed likelihood ratio (LR) calculations using their own dataset and a dataset provided by the organising laboratory. The organising laboratory performed LR calculations using all datasets. The datasets were generated with different STR typing kits or analysis systems and consisted of samples varying in DNA amounts, mixture ratios, number of contributors and drop-out level. Hypothesis sets had the correct, under- and over-assigned number of contributors and true and false donors as person of interest. When comparing the results between laboratories, the LRs were foremost within one unit on log10 scale. The few LR results that deviated more had differences for the parameters estimated by the optimizer within DNAStatistX. Some of these were indicated by failed iteration results, others by a failed model validation, since unrealistic hypotheses were included. When these results that do not meet the quality criteria were excluded, as is in accordance with interpretation guidelines, none of the analyses in the different laboratories yielded a different statement in the casework report. Nonetheless, changes in software parameters were sought that minimized differences in outcomes, which made the DNAStatistX module more robust. Overall, the software was found intuitive, user-friendly and valid for use in multiple laboratories.
引用
收藏
页数:10
相关论文
共 14 条
[1]  
[Anonymous], 2015, GUID VAL PROB GEN SY
[2]   Automated estimation of the number of contributors in autosomal short tandem repeat profiles using a machine learning approach [J].
Benschop, Corina C. G. ;
van der Linden, Jennifer ;
Hoogenboom, Jerry ;
Ypma, Rolf ;
Haned, Hinda .
FORENSIC SCIENCE INTERNATIONAL-GENETICS, 2019, 43
[3]   DNAxs/DNAStatistX: Development and validation of a software suite for the data management and probabilistic interpretation of DNA profiles [J].
Benschop, Corina C. G. ;
Hoogenboom, Jerry ;
Hovers, Pauline ;
Slagter, Martin ;
Kruise, Dennis ;
Parag, Raymond ;
Steensma, Kristy ;
Slooten, Klaas ;
Nagel, Jord H. A. ;
Dieltjes, Patrick ;
van Marion, Vincent ;
van Paassen, Heidi ;
de Jong, Jeroen ;
Creeten, Christophe ;
Sijen, Titia ;
Kneppers, Alexander L. J. .
FORENSIC SCIENCE INTERNATIONAL-GENETICS, 2019, 42 :81-89
[4]   An assessment of the performance of the probabilistic genotyping software EuroForMix: Trends in likelihood ratios and analysis of Type I & II errors [J].
Benschop, Corina C. G. ;
Nijveld, Alwart ;
Duijs, Francisca E. ;
Sijen, Titia .
FORENSIC SCIENCE INTERNATIONAL-GENETICS, 2019, 42 :31-38
[5]   LoCIM-tool: An expert's assistant for inferring the major contributor's alleles in mixed consensus DNA profiles [J].
Benschop, Corina C. G. ;
Sijen, Titia .
FORENSIC SCIENCE INTERNATIONAL-GENETICS, 2014, 11 :154-165
[6]   A comparative study of qualitative and quantitative models used to interpret complex STR DNA profiles [J].
Bleka, Oyvind ;
Benschop, Corina C. G. ;
Storvik, Geir ;
Gill, Peter .
FORENSIC SCIENCE INTERNATIONAL-GENETICS, 2016, 25 :85-96
[7]   EuroForMix: An open source software based on a continuous model to evaluate STR DNA profiles from a mixture of contributors with artefacts [J].
Bleka, Oyvind ;
Storvik, Geir ;
Gill, Peter .
FORENSIC SCIENCE INTERNATIONAL-GENETICS, 2016, 21 :35-44
[8]   A series of recommended tests when validating probabilistic DNA profile interpretation software [J].
Bright, Jo-Anne ;
Evett, Ian W. ;
Taylor, Duncan ;
Curran, James M. ;
Buckleton, John .
FORENSIC SCIENCE INTERNATIONAL-GENETICS, 2015, 14 :125-131
[9]   DNA Commission of the International Society for Forensic Genetics: Recommendations on the validation of software programs performing biostatistical calculations for forensic genetics applications [J].
Coble, M. D. ;
Buckleton, J. ;
Butler, J. M. ;
Egeland, T. ;
Fimmers, R. ;
Gill, P. ;
Gusmao, L. ;
Guttman, B. ;
Krawczak, M. ;
Morling, N. ;
Parson, W. ;
Pinto, N. ;
Schneider, P. M. ;
Sherry, S. T. ;
Willuweit, S. ;
Prinz, M. .
FORENSIC SCIENCE INTERNATIONAL-GENETICS, 2016, 25 :191-197
[10]   Analysis of forensic DNA mixtures with artefacts [J].
Cowell, R. G. ;
Graversen, T. ;
Lauritzen, S. L. ;
Mortera, J. .
JOURNAL OF THE ROYAL STATISTICAL SOCIETY SERIES C-APPLIED STATISTICS, 2015, 64 (01) :1-48