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

Author:

Mitchell Melinda R1ORCID,Chaseling Janet1,Jones Lee2ORCID,White Toni3,Bernie Andrew4,Haupt Larisa M1ORCID,Griffiths Lyn R1ORCID,Wright Kirsty M145

Affiliation:

1. Queensland University of Technology (QUT), Genomics Research Centre, Centre for Genomics and Personalised Health, School of Biomedical Sciences , 60 Musk Ave., Kelvin Grove, Queensland 4059, Australia

2. Queensland University of Technology (QUT) , Research Methods Group, Centre for Genomics and Personalised Health, School of Biomedical Sciences, 60 Musk Ave., Kelvin Grove, Queensland 4059 Australia

3. Queensland University of Technology (QUT) , Defence Innovation Hub, Centre for Genomics and Personalised Health, School of Biomedical Sciences, 60 Musk Ave., Kelvin Grove, Queensland 4059 Australia

4. Unrecovered War Casualties-Army, Australian Defence Force, Russell Offices , Russell, 2600, Australian Capital Territory

5. Royal Australian Air Force (RAAF), No 2 Expeditionary Health Squadron , Williamtown, 3016, New South Wales

Abstract

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 ten years ago when rapidly mutating (RM) 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 P < 0.05). Based on this meta-analysis, we have identified two additional markers from PowerPlex® Y23 for potential inclusion in UWC-A’s identification strategy. Further avenues for potential experimental exploration are discussed. Key points

Publisher

Oxford University Press (OUP)

Subject

Psychiatry and Mental health,Physical and Theoretical Chemistry,Anthropology,Biochemistry, Genetics and Molecular Biology (miscellaneous),Pathology and Forensic Medicine,Analytical Chemistry

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