ArticleGenes2022
Ancient DNA Methods Improve Forensic DNA Profiling of Korean War and World War II Unknowns.
Article in Genes, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers.
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Who cites it
25 citing papers in PubMed, 51 citations in OpenAlex.
- Pedigree-Based comparison of short-read and long-read sequencing for forensic mitochondrial genome analysis.International journal of legal medicine · 2026Article
- Evaluation of bone preparation approaches using length-based analysis and targeted sequencing for forensic human identification of historic skeletal remains.Journal of forensic sciences · 2026Article
- Review
- Article
- Global trends in DNA research on aged human skeletal remains: a bibliometric analysis (1989-2024).International journal of legal medicine · 2026Review
- Comparative assessment of SNP genotyping assays for challenging forensic samples utilizing ancient DNA methods.Genome biology · 2025Article
- Genomics will forever reshape forensic science and criminal justice.Genome biology · 2025Article
- Forensic skeletal and molecular anthropology face to face: Combining expertise for identification of human remains.Annals of the New York Academy of Sciences · 2025Review
- Article
- Autosomal and Y-STR genetic database from a population of the Spanish Civil War (1936-1939) and the postwar period.International journal of legal medicine · 2025Article
- Humanitarian forensic action in East Asia: where are we now? A concise review.Forensic sciences research · 2025Review
- Benchmarking for genotyping and imputation using degraded DNA for forensic applications across diverse populations.Forensic science international. Genetics · 2025Article
- Article
- Article
- Kaspar Hauser's alleged noble origin - New molecular genetic analyses resolve the controversy.iScience · 2024Article
- Unearthing who and Y at Harewood Cemetery and inference of George Washington's Y-chromosomal haplotype.iScience · 2024Article
- The development of non-destructive sampling methods of parchment skins for genetic species identification.PloS one · 2024Article
- Review: Computational analysis of human skeletal remains in ancient DNA and forensic genetics.iScience · 2023Review
- A cost-benefit analysis for use of large SNP panels and high throughput typing for forensic investigative genetic genealogy.International journal of legal medicine · 2023Article
- DNA and protein analyses of hair in forensic genetics.International journal of legal medicine · 2023Review
Corrections and comments
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Authors and funding
13 authors at 3 institutions in 3 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The integration of massively parallel sequencing (MPS) technology into forensic casework has been of particular benefit to the identification of unknown military service members. However, highly degraded or chemically treated skeletal remains often fail to provide usable DNA profiles, even with sensitive mitochondrial (mt) DNA capture and MPS methods. In parallel, the ancient DNA field has developed workflows specifically for degraded DNA, resulting in the successful recovery of nuclear DNA and mtDNA from skeletal remains as well as sediment over 100,000 years old. In this study we use a set of disinterred skeletal remains from the Korean War and World War II to test if ancient DNA extraction and library preparation methods improve forensic DNA profiling. We identified an ancient DNA extraction protocol that resulted in the recovery of significantly more human mtDNA fragments than protocols previously used in casework. In addition, utilizing single-stranded rather than double-stranded library preparation resulted in increased attainment of reportable mtDNA profiles. This study emphasizes that the combination of ancient DNA extraction and library preparation methods evaluated here increases the success rate of DNA profiling, and likelihood of identifying historical remains.
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Registered trials
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.