A genomic ancestry panel for Australian and Japanese WWII military remains recovered in the Asia-Pacific
|
Andrew Ghaiyed Thesis
(PDF 5MB)
Available under License Creative Commons Attribution Non-commercial No Derivatives 4.0. |
Description
The Ghaiyed population-specific panel (GPSP) is an ancestry prediction strategy comprised of ancestry-informative DNA markers that was developed to assist Unrecovered War Casualties-Army (UWC-A) in the accounting of historical military remains. The GPSP was able to significantly increase the proportion of individuals that could be assigned ancestry compared to conventional methods used by the Forensic Science community and previous UWC-A methodology. The GPSP is supported by the novel application of admixture simulation tools and a modified Chi-square Automatic Interaction Detector/Probability Decision Tree (CHAID/PDT) method for ancestry classification, to more reliably account for the remains of those fallen in previous conflicts.
Impact and interest:
Citation counts are sourced monthly from Scopus and Web of Science® citation databases.
These databases contain citations from different subsets of available publications and different time periods and thus the citation count from each is usually different. Some works are not in either database and no count is displayed. Scopus includes citations from articles published in 1996 onwards, and Web of Science® generally from 1980 onwards.
Citations counts from the Google Scholar™ indexing service can be viewed at the linked Google Scholar™ search.
Full-text downloads:
Full-text downloads displays the total number of times this work’s files (e.g., a PDF) have been downloaded from QUT ePrints as well as the number of downloads in the previous 365 days. The count includes downloads for all files if a work has more than one.
| ID Code: | 211296 |
|---|---|
| Item Type: | QUT Thesis (PhD) |
| Supervisor: | Griffiths, Lyn & Haupt, Larisa |
| Keywords: | Ancestry prediction, Bio-geographic ancestry, STRUCTURE, Genetic admixture, Historical military remains, Disaster victim identification, Chi-square Automatic Interaction Detector Method |
| DOI: | 10.5204/thesis.eprints.211296 |
| Divisions: | Current > Research Centres > Centre for Genomics and Personalised Health Current > QUT Faculties and Divisions > Faculty of Health Current > Schools > School of Biomedical Sciences |
| Institution: | Queensland University of Technology |
| Deposited On: | 06 Jul 2021 05:25 |
| Last Modified: | 06 Jul 2021 05:25 |
Export: EndNote | Dublin Core | BibTeX
Repository Staff Only: item control page