Evidence map›Paper›PMID 38562552›Full record

ReviewForensic sciences research2024

Improving the strategy to identify historical military remains: a literature review and Y-STR meta-analysis.

Melinda R Mitchell, Janet Chaseling, Lee Jones, Toni White, Andrew Bernie, Larisa M Haupt, Lyn R Griffiths, Kirsty M Wright

Abstract readReview
PubMed Full text at PMC Publisher
In one paragraph

Review in Forensic sciences research, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. Article
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.

Melinda R MitchellQueensland University of Technology (QUT), Genomics Research Centre, Centre for Genomics and Personalised Health, School of Biomedical Sciences, Kelvin Grove, Queensland, Australia.
Janet ChaselingQueensland University of Technology (QUT), Genomics Research Centre, Centre for Genomics and Personalised Health, School of Biomedical Sciences, Kelvin Grove, Queensland, Australia.
Lee JonesQueensland University of Technology (QUT), Research Methods Group, Centre for Genomics and Personalised Health, School of Biomedical Sciences, Kelvin Grove, Queensland, Australia.
Toni WhiteQueensland University of Technology (QUT), Defence Innovation Hub, Centre for Genomics and Personalised Health, School of Biomedical Sciences, Kelvin Grove, Queensland, Australia.
Andrew BernieUnrecovered War Casualties-Army, Australian Defence Force, Russell Offices, Russell, Australian Capital Territory, Australia.
Larisa M HauptQueensland University of Technology (QUT), Genomics Research Centre, Centre for Genomics and Personalised Health, School of Biomedical Sciences, Kelvin Grove, Queensland, Australia.
Lyn R GriffithsQueensland University of Technology (QUT), Genomics Research Centre, Centre for Genomics and Personalised Health, School of Biomedical Sciences, Kelvin Grove, Queensland, Australia.
Kirsty M WrightQueensland University of Technology (QUT), Genomics Research Centre, Centre for Genomics and Personalised Health, School of Biomedical Sciences, Kelvin Grove, Queensland, Australia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The identification of historical military remains by Unrecovered War Casualties-Army (UWC-A) currently relies on Y-chromosome Short Tandem Repeat (Y-STR) testing when maternal relatives are not available, or when a mitochondrial DNA match does not provide sufficient certainty of identification. However, common Y-STR profiles (using Yfiler™) between sets of remains or families often prevent identification. To resolve these cases, an investigation of additional Y-DNA markers is needed for their potential inclusion into the DNA identification strategy. The number of genetic transmissions between missing soldiers and their living relatives needs to be considered to avoid false exclusions between paternal relatives. Analysis of 236 World War I/II (WWI/II) era pairs of relatives identified up to seven genetic transmissions between WWII soldiers and their living relatives, and nine for WWI. Previous Y-STR meta-analyses were published approximately 10 years ago when rapidly mutating markers were relatively new. This paper reports a contemporary literature review and meta-analysis of 35 studies (which includes 23 studies not previously used in meta-analysis) and 23 commonly used Y-STR's mutation rates to inform the inclusion of additional loci to UWC-A's DNA identification strategy. Meta-analysis found mutation data for a given Y-STR locus could be pooled between studies and that the mutation rates were significantly different between some loci (at Key points: From 236 UWC-A pairs of relatives, we observed up to nine genetic transmissions between WWI soldiers and their living relatives, and seven for WWII.MedCalc® software for meta-analysis utilizing the Freeman-Tukey transformation was run, which analysed 35 published studies and 23 commonly used loci. Previous Y-STR mutation rate meta-analyses are now 10 years old; this paper includes 23 studies that were not included in previous meta-analyses.Through meta-analysis, we identify two markers from PowerPlex® Y23 for potential inclusion in UWC-A's historical remains identification strategy (alongside Yfiler™). We discuss potential next steps for experimental exploration of additional Y-DNA markers.

Indexed as

historical identificationsmeta-analysismutation ratesPowerPlex® Y23Yfiler™Y-STR

Identifiers

PMID38562552
PMCPMC10982847

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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.