Multi-laboratory validation of DNAxs including the statistical library DNAStatistX.
Continuous model
DNA profile interpretation
DNAStatistX
DNAxs
Likelihood ratio
Validation
Journal
Forensic science international. Genetics
ISSN: 1878-0326
Titre abrégé: Forensic Sci Int Genet
Pays: Netherlands
ID NLM: 101317016
Informations de publication
Date de publication:
11 2020
11 2020
Historique:
received:
16
06
2020
revised:
30
07
2020
accepted:
26
08
2020
pubmed:
17
9
2020
medline:
14
7
2021
entrez:
16
9
2020
Statut:
ppublish
Résumé
This study describes a multi-laboratory validation of DNAxs, a DNA eXpert System for the data management and probabilistic interpretation of DNA profiles [1], 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.
Identifiants
pubmed: 32937255
pii: S1872-4973(20)30162-9
doi: 10.1016/j.fsigen.2020.102390
pii:
doi:
Types de publication
Evaluation Study
Journal Article
Research Support, Non-U.S. Gov't
Validation Study
Langues
eng
Sous-ensembles de citation
IM
Pagination
102390Informations de copyright
Copyright © 2020 Elsevier B.V. All rights reserved.