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Article
Match statistics for sequence‐based alleles in profiles from forensic pcr‐mps kits
Electrophoresis
  • Brian Young, NicheVision Forensics, LLC
  • Michael Marciano, Syracuse University
  • Karin Crenshaw, Broward County Sheriff's Office
  • George Duncan, Nova Southeastern University
  • Luigi Armogida, NicheVision Forensics, LLC
  • Bruce McCord, Florida International University
Document Type
Article
Publication Date
12-11-2020
Keywords
  • Allele frequency,
  • Forensic DNA analysis,
  • Sequencing,
  • Short Tandem Repeat
Abstract

The first autosomal sequence‐based allele (aka SNP‐STR haplotype) frequency database for forensic massively parallel sequencing (MPS) has been published, thereby removing one of the remaining barriers to implementing MPS in casework. The database was developed using a specific set of flank trim sites. If different trim sites or different kits with different primers are used for casework, then SNP‐STR haplotypes may be detected that do not have frequencies in the database. We describe a procedure to address calculation of match probabilities when casework samples are generated using an MPS kit with different trim sites than those present in the relevant population frequency database. The procedure provides a framework for comparison of any MPS kit or database combination while also accommodating comparison of MPS and CE profiles.

ORCID ID
0000-0002-4931-5316
DOI
10.1002/elps.202000087
Citation Information
Brian Young, Michael Marciano, Karin Crenshaw, George Duncan, et al.. "Match statistics for sequence‐based alleles in profiles from forensic pcr‐mps kits" Electrophoresis (2020) ISSN: 1522-2683
Available at: http://works.bepress.com/george-duncan/32/