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Body fluid identification and assignment to donors using a targeted mRNA massively parallel sequencing approach - results of a second EUROFORGEN / EDNAP collaborative exercise

Authors :
F.-X. Laurent
Katherine Butler Gettings
Carolyn R. Steffen
Sabrina Ingold
Niels Morling
Guro Dørum
K.J. van der Gaag
M. van den Berge
V. Verdoliva
Cordula Haas
Andrea Berti
Walther Parson
Erin K. Hanson
Federica Giangasparo
Jack Ballantyne
Marie-Louise Kampmann
Catarina Xavier
David Ballard
Ayhan Ulus
University of Zurich
Haas, Cordula
Source :
Forensic science international. Genetics. 45
Publication Year :
2019

Abstract

In a previous EUROFORGEN/EDNAP collaborative exercise, we tested two assays for targeted mRNA massively parallel sequencing for the identification of body fluids/tissues, optimized for the Illumina MiSeq/FGx and the Ion Torrent PGM/S5 platforms, respectively. The task of the second EUROFORGEN/EDNAP collaborative exercise was to analyze dried body fluid stains with two different multiplexes, the former Illumina 33plex mRNA panel for body fluid/tissue identification and a 35plex cSNP panel for assignment of body fluids/tissues to donors that was introduced in a proof-of-concept study recently. The coding region SNPs (cSNPs) are located within the body fluid specific mRNA transcripts and represent a direct link between the body fluid and the donor. We predicted the origin of the stains using a partial least squares discriminant analysis (PLS-DA) model, where most of the single source samples were correctly predicted. The mixed body fluid stains showed poorer results, however, at least one component was predicted correctly in most stains. The cSNP data demonstrated that coding region SNPs can give valuable information on linking body fluids/tissues with donors in mixed body fluid stains. However, due to the unfavorable performance of some cSNPs, the interpretation remains challenging. As a consequence, additional markers are needed to increase the discrimination power in each body fluid/tissue category.

Details

ISSN :
18780326
Volume :
45
Database :
OpenAIRE
Journal :
Forensic science international. Genetics
Accession number :
edsair.doi.dedup.....5c054b31551b3f9748994be5d1ad1f8e