Alfonse, Lauren E., Garrett, Amanda D., Lun, Desmond S., Duffy, Ken R. and Grgicak, Catherine (2018) A large-scale dataset of single and mixed-source short tandem repeat profiles to inform human identification strategies: PROVEDIt. Forensic Science International: Genetics, 32. pp. 62-70. ISSN 1878-0326
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Abstract
DNA-based human identity testing is conducted by comparison of PCR-amplified polymorphic Short Tandem
Repeat (STR) motifs from a known source with the STR profiles obtained from uncertain sources. Samples such
as those found at crime scenes often result in signal that is a composite of incomplete STR profiles from an
unknown number of unknown contributors, making interpretation an arduous task. To facilitate advancement in
STR interpretation challenges we provide over 25,000 multiplex STR profiles produced from one to five known
individuals at target levels ranging from one to 160 copies of DNA. The data, generated under 144 laboratory
conditions, are classified by total copy number and contributor proportions. For the 70% of samples that were
synthetically compromised, we report the level of DNA damage using quantitative and end-point PCR. In addition, we characterize the complexity of the signal by exploring the number of detected alleles in each profile.
Item Type: | Article |
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Keywords: | Forensic DNA; PROVEDIt; STRs; Human identification; STR database; |
Academic Unit: | Faculty of Science and Engineering > Research Institutes > Hamilton Institute |
Item ID: | 13074 |
Identification Number: | 10.1016/j.fsigen.2017.10.006 |
Depositing User: | Dr Ken Duffy |
Date Deposited: | 19 Jun 2020 15:14 |
Journal or Publication Title: | Forensic Science International: Genetics |
Publisher: | Elsevier |
Refereed: | Yes |
Related URLs: | |
URI: | https://mu.eprints-hosting.org/id/eprint/13074 |
Use Licence: | This item is available under a Creative Commons Attribution Non Commercial Share Alike Licence (CC BY-NC-SA). Details of this licence are available here |
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