Assessment of the Precision ID Identity Panel kit on challenging forensic samples.


Journal

Forensic science international. Genetics
ISSN: 1878-0326
Titre abrégé: Forensic Sci Int Genet
Pays: Netherlands
ID NLM: 101317016

Informations de publication

Date de publication:
11 2020
Historique:
received: 24 07 2020
revised: 28 08 2020
accepted: 25 09 2020
pubmed: 20 10 2020
medline: 14 7 2021
entrez: 19 10 2020
Statut: ppublish

Résumé

The performance of the Precision ID Identity Panel (Thermo Fisher Scientific) was assessed on a set of 87 forensic samples with different levels of degradation for which a reference sample from the "same donor" or from a "first degree relative" was available. PCR-MPS analysis was performed with DNA input ranging from 1 ng to 12 pg and through 21-26 PCR cycles, in replicate tests, and a total number of 255 libraries were sequenced on the Ion Personal Genome Machine™ (PGM™) System. The evaluation of the molecular data allowed to set a fix threshold for locus call at 50 x which suitably worked even when low amounts of degraded DNA (12 pg) were investigated. In these analytical conditions, in fact, 25 PCR cycles allowed the genotyping of about 50 % and 35 % of the autosomal and the Y-specific markers on average, respectively, for each single amplification with a negligible frequency of drop ins (0.01 %). On the other hand, drop out artefacts reached 18-23 % when low copy number and degraded DNA samples were studied, with surviving alleles showing more than 600 reads in 2.9 % of the cases. Our data pointed out that the Precision ID Identity Panel allowed accurate typing of almost any amount of good quality/moderately degraded DNA samples, in duplicate tests. The analysis of low copy number DNAs evidenced that the same allele of a heterozygous genotype could be lost twice, thus suggesting that a third amplification could be useful for a correct genotype assignment in these peculiar cases. Using the consensus approach, a limited number of genotyping errors were computed and about 37 % of the autosomal markers was finally typed with a corresponding combined random match probability of at least 1.6 × 10

Identifiants

pubmed: 33075733
pii: S1872-4973(20)30172-1
doi: 10.1016/j.fsigen.2020.102400
pii:
doi:

Substances chimiques

DNA, Bacterial 0
DNA 9007-49-2

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

102400

Informations de copyright

Copyright © 2020 Elsevier B.V. All rights reserved.

Auteurs

Chiara Turchi (C)

Legal Medicine Unit, Department of Biomedical Sciences and Public Health, Polytechnic University of Marche, Ancona, Italy.

Carlo Previderè (C)

Department of Public Health, Experimental and Forensic Medicine, Section of Legal Medicine and Forensic Sciences, University of Pavia, Italy.

Carla Bini (C)

Department of Medical and Surgical Sciences, University of Bologna, Italy.

Eugenia Carnevali (E)

Section of Legal Medicine and Forensic Science, S. Maria Hospital, University of Perugia, Terni, Italy.

Pierangela Grignani (P)

Department of Public Health, Experimental and Forensic Medicine, Section of Legal Medicine and Forensic Sciences, University of Pavia, Italy.

Alessandro Manfredi (A)

Department of Medicine, Surgery and Health, University of Trieste, Italy.

Filomena Melchionda (F)

Legal Medicine Unit, Department of Biomedical Sciences and Public Health, Polytechnic University of Marche, Ancona, Italy.

Valerio Onofri (V)

Legal Medicine Unit, Department of Biomedical Sciences and Public Health, Polytechnic University of Marche, Ancona, Italy.

Susi Pelotti (S)

Department of Medical and Surgical Sciences, University of Bologna, Italy.

Carlo Robino (C)

Department of Public Health Sciences and Pediatrics, University of Turin, Turin, Italy.

Solange Sorçaburu-Ciglieri (S)

Department of Medicine, Surgery and Health, University of Trieste, Italy.

Adriano Tagliabracci (A)

Legal Medicine Unit, Department of Biomedical Sciences and Public Health, Polytechnic University of Marche, Ancona, Italy.

Paolo Fattorini (P)

Department of Medicine, Surgery and Health, University of Trieste, Italy. Electronic address: fattorin@units.it.

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Classifications MeSH