Evidence map›Paper›PMID 40808851›Full record

ArticleForensic science international. Synergy2025

Fast DNA reports for investigative leads in casework practice: An automated workflow for mixture analysis using database searching based on probabilistic genotyping.

Corina C G Benschop, Martin Slagter, Laurens J W Grol, Pauline Hovers, Jord H A Nagel, Sophie Smit, Francisca E Duijs, Alexander L J Kneppers

Abstract read
In one paragraph

Article in Forensic science international. Synergy, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors.

Corina C G BenschopNetherlands Forensic Institute, Division of Biological Traces, Laan van Ypenburg 6, 2497GB, The Hague, the Netherlands.
Martin SlagterNetherlands Forensic Institute, Division of Biological Traces, Laan van Ypenburg 6, 2497GB, The Hague, the Netherlands.
Laurens J W GrolNetherlands Forensic Institute, Division of Biological Traces, Laan van Ypenburg 6, 2497GB, The Hague, the Netherlands.
Pauline HoversNetherlands Forensic Institute, Division of Biological Traces, Laan van Ypenburg 6, 2497GB, The Hague, the Netherlands.
Jord H A NagelNetherlands Forensic Institute, Division of Biological Traces, Laan van Ypenburg 6, 2497GB, The Hague, the Netherlands.
Sophie SmitNetherlands Forensic Institute, Division of Biological Traces, Laan van Ypenburg 6, 2497GB, The Hague, the Netherlands.
Francisca E DuijsNetherlands Forensic Institute, Division of Biological Traces, Laan van Ypenburg 6, 2497GB, The Hague, the Netherlands.
Alexander L J KneppersNetherlands Forensic Institute, Division of Biological Traces, Laan van Ypenburg 6, 2497GB, The Hague, the Netherlands.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The Fast DNA Identification Line (Fast ID Line) is a series of software solutions automating the process of DNA profile analysis, contamination checks, comparison with reference profiles, elimination and criminal DNA database comparison, report generation and dissemination of results to law enforcement. The Fast ID Line v1.0 focussed on identifying candidates that could be contributors to single-source profiles or major contributors to mixed DNA profiles. In this paper, the Fast ID Line was extended to automatically report on mixture profiles with up to four contributors. This software, v2.0, includes extended profile analysis rules, a machine learning model for number of contributors estimation and a probabilistic genotyping model for database searching. Suitability criteria were established for the automatically analysed DNA profiles and reporting of the results. End-to-end testing using casework data demonstrated that the Fast ID Line v2.0: 1) delivered >80 % of DNA reports within three working days, 2) retrieved 1.9-fold more candidates compared to v1.0 (304 vs 162/777 database searches), and 3) reported 72 % of candidates that were reported in the manual casework workflow. Police and public prosecution across the Netherlands now make use of the Fast ID Line reports with investigative leads. The automated reports are quickly available, allowing law enforcement to act on DNA findings for intelligence purposes before receiving the expert report. Additional information was provided in only 33% of the expert reports. This indicates that, in the majority of cases, the Fast ID Line results only require a confirmation check by a DNA expert, saving valuable time.

Identifiers

PMID40808851
PMCPMC12345880

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.