A large-scale dataset of single and mixed-source short tandem repeat profiles to inform human identification strategies: PROVEDIt

Lauren E. Alfonse, Amanda D. Garrett, Desmond S. Lun, Ken R. Duffy, Catherine M. Grgicak

Research output: Contribution to journalArticlepeer-review

22 Scopus citations

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.

Original languageEnglish (US)
Pages (from-to)62-70
Number of pages9
JournalForensic Science International: Genetics
Volume32
DOIs
StatePublished - Jan 2018

All Science Journal Classification (ASJC) codes

  • Pathology and Forensic Medicine
  • Genetics

Keywords

  • Forensic DNA
  • Human identification
  • PROVEDIt
  • STR database
  • STRs

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