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Body Fluid Identification Using a Targeted mRNA Massively Parallel Sequencing Approach - Results of a EUROFORGEN/EDNAP Collaborative Exercise

NCJ Number
255695
Journal
Forensic Science International: Genetics Volume: 34 Dated: 2018 Pages: 105-115
Author(s)
S. Ingold; G. Dorum; E. Hanson; A. Berti; W. Branicki; P. Brito; P. Elsmore; K. B. Gettings; F. Giangasparo; T. E. Gross; S. Hansen; E. N.. Hanssen; M.. L. Kampmann; M. Kayser; F. S. Laurent; N. Morling; A. Mosquera-Miguel-; W. Paarson; C. Haas
Date Published
2018
Length
11 pages
Annotation
This article reports the methodology and results of a collaborative mRNA massively parallel sequencing (MPS) exercise that provided support for targeted mRNA sequencing as a reliable body fluid identification method that could be added to the repertoire of forensic MPS panels.
Abstract

the authors presented an assay for targeted mRNA sequencing for the identification of human body fluids, optimized for the Illumina MiSeq/FGx MPS platform. This assay, together with an additional in-house designed assay for the Ion Torrent PGM/S5 platform, was the basis for a collaborative exercise within 17 EUROFORGEN and EDNAP laboratories, in order to test the efficacy of targeted mRNA sequencing to identify body fluids. The task was to analyze the supplied dried body fluid stains and, optionally, participants' own bona fide or mock casework samples of human origin, according to specified protocols. The provided primer pools for the Illumina MiSeq/FGx and the Ion Torrent PGM/S5 platforms included 33 and 29 body fluid specific targets, respectively, to identify blood, saliva, semen, vaginal secretion, menstrual blood, and skin. The results demonstrated moderate to high count values in the body fluid or tissue of interest with little to no counts in non-target body fluids. There was some inter-laboratory variability in read counts, but overall, the results of the laboratories were comparable, because highly expressed markers showed high read counts and less expressed markers showed lower counts. A partial least squares (PLS) analysis was performed on the data, where blood, menstrual blood, saliva, and semen markers and samples clustered well. (publisher abstract modified)