Match statistics for sequence‐based alleles in profiles from forensic pcr‐mps kits

Authors

• Brian Young, NicheVision Forensics, LLC
• Michael Marciano, Syracuse University
• Karin Crenshaw, Broward County Sheriff's Office
• George Duncan, Nova Southeastern UniversityFollow
• Luigi Armogida, NicheVision Forensics, LLC
• Bruce McCord, Florida International University

ORCID

0000-0002-4931-5316

Document Type

Article

Publication Title

Electrophoresis

ISSN

1522-2683

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.

DOI

10.1002/elps.202000087

NSUWorks Citation

Young, Brian; Michael Marciano; Karin Crenshaw; George Duncan; Luigi Armogida; and Bruce McCord. 2020. "Match statistics for sequence‐based alleles in profiles from forensic pcr‐mps kits." Electrophoresis , (). doi:10.1002/elps.202000087.