Literature DB >> 33075733

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

Chiara Turchi1, Carlo Previderè2, Carla Bini3, Eugenia Carnevali4, Pierangela Grignani2, Alessandro Manfredi5, Filomena Melchionda1, Valerio Onofri1, Susi Pelotti3, Carlo Robino6, Solange Sorçaburu-Ciglieri5, Adriano Tagliabracci1, Paolo Fattorini7.   

Abstract

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 × 10-13, which can be considered an excellent result for this kind of challenging samples. In the end, the results presented in this study emphasize the crucial role of the expert opinion in the correct evaluation of artefacts arising from PCR-MPS technology that could potentially lead to genetic mistyping.
Copyright © 2020 Elsevier B.V. All rights reserved.

Keywords:  DNA degradation; Massive parallel sequencing; Precision ID Identity Panel; Single nucleotide polymorphism

Mesh:

Substances:

Year:  2020        PMID: 33075733     DOI: 10.1016/j.fsigen.2020.102400

Source DB:  PubMed          Journal:  Forensic Sci Int Genet        ISSN: 1872-4973            Impact factor:   4.882


  5 in total

Review 1.  An Introductory Overview of Open-Source and Commercial Software Options for the Analysis of Forensic Sequencing Data.

Authors:  Tunde I Huszar; Katherine B Gettings; Peter M Vallone
Journal:  Genes (Basel)       Date:  2021-10-29       Impact factor: 4.096

2.  Eye and Hair Color Prediction of Ancient and Second World War Skeletal Remains Using a Forensic PCR-MPS Approach.

Authors:  Irena Zupanič Pajnič; Tomaž Zupanc; Tamara Leskovar; Matija Črešnar; Paolo Fattorini
Journal:  Genes (Basel)       Date:  2022-08-12       Impact factor: 4.141

3.  Isometric artifacts from polymerase chain reaction-massively parallel sequencing analysis of short tandem repeat loci: An emerging issue from a new technology?

Authors:  Irena Zupanič Pajnič; Carlo Previderè; Tomaž Zupanc; Martina Zanon; Paolo Fattorini
Journal:  Electrophoresis       Date:  2022-05-11       Impact factor: 3.595

4.  The FORCE Panel: An All-in-One SNP Marker Set for Confirming Investigative Genetic Genealogy Leads and for General Forensic Applications.

Authors:  Andreas Tillmar; Kimberly Sturk-Andreaggi; Jennifer Daniels-Higginbotham; Jacqueline Tyler Thomas; Charla Marshall
Journal:  Genes (Basel)       Date:  2021-12-10       Impact factor: 4.096

5.  Pushing the Boundaries: Forensic DNA Phenotyping Challenged by Single-Cell Sequencing.

Authors:  Marta Diepenbroek; Birgit Bayer; Katja Anslinger
Journal:  Genes (Basel)       Date:  2021-08-30       Impact factor: 4.096

  5 in total

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