Improving the strategy to identify historical military remains:a literature review and Y-STR meta-analysisOA
Improving the strategy to identify historical military remains:a literature review and Y-STR meta-analysis
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 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.
Melinda R.Mitchell;Janet Chaseling;Lee Jones;Toni White;Andrew Bernie;Larisa M.Haupt;Lyn R.Griffiths;Kirsty M.Wright
Queensland University of Technology(QUT),Genomics Research Centre,Centre for Genomics and Personalised Health,School of Biomedical Sciences,Kelvin Grove,Queensland,AustraliaQueensland University of Technology(QUT),Research Methods Group,Centre for Genomics and Personalised Health,School of Biomedical Sciences,Kelvin Grove,Queensland,AustraliaQueensland University of Technology(QUT),Defence Innovation Hub,Centre for Genomics and Personalised Health,School of Biomedical Sciences,Kelvin Grove,Queensland,AustraliaUnrecovered War Casualties-Army,Australian Defence Force,Russell Offices,Russell,Australian Capital Territory,AustraliaQueensland University of Technology(QUT),Genomics Research Centre,Centre for Genomics and Personalised Health,School of Biomedical Sciences,Kelvin Grove,Queensland,Australia||Unrecovered War Casualties-Army,Australian Defence Force,Russell Offices,Russell,Australian Capital Territory,Australia||Royal Australian Air Force(RAAF),No 2 Expeditionary Health Squadron,RAAF Base Williamtown,Williamtown,New South Wales,Australia
Y-STRmutation ratesmeta-analysisYfiler™MPowerPlex® Y23historical identifications
《法庭科学研究(英文)》 2024 (001)
15-22 / 8
The authors are grateful to the Unrecovered War Casualties-Army for their support on this project,as well as the Centre for Genomics and Personalised Health at QUT for funding,equipment,and supervisory support.The authors also acknowledge the support of the Research Training Stipend made available through the Australian Government.
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