Literature DB >> 26828903

Revealing the challenges of low template DNA analysis with the prototype Ion AmpliSeq™ Identity panel v2.3 on the PGM™ Sequencer.

Salata Elena1, Agostino Alessandro2, Ciuna Ignazio3, Wootton Sharon4, Ripani Luigi3, Berti Andrea3.   

Abstract

Forensic scientists frequently have to deal with the analysis of challenging sources of DNA such as degraded and low template DNA (LtDNA). The capacity to genotype difficult biological traces has been facilitated by emerging technologies. Massive parallel sequencing (MPS) on microchip among other technologies promises high sensitivity and discrimination power. In this study we evaluated the combined use of the Quantifiler(®) Trio DNA Quantification Kit with the prototype Ion AmpliSeq™ Identity panel v2.3 and PGM™ platform in LtDNA samples. Coverage, allele balance, allele drop-out/in, consistency and variance were assessed. Overall, the results showed a great level of performance and consistency in terms of genotyping capability even under the most challenging conditions, making it possible to obtain consistent SNP profiles with 31 pg of DNA and partial informative profiles with as little as 5 pg or with severely degraded DNA. In addition, we demonstrated that the stochastic effects observed in some samples are due to the amplification of the library rather than sequencing. Based on our data, we proposed general recommendations for the analysis of casework samples starting from the use of quantification data, which proved to be critical in deciding whether to process the samples via STR (short tandem repeat) analysis or SNP MPS. In our experience, the use of the prototype Ion AmpliSeq™ Identity panel v2.3 has revealed a new applicable solution for processing LtDNAs. This approach provides users with an additional tool for analysis of traces that either would not give informative results with conventional STR-based techniques.
Copyright © 2015 Elsevier Ireland Ltd. All rights reserved.

Entities:  

Keywords:  Ion AmpliSeq™ Identity panel; LtDNA; Massive parallel sequencing; PGM™ Sequencer; Quantifiler(®); STR analysis

Mesh:

Substances:

Year:  2015        PMID: 26828903     DOI: 10.1016/j.fsigen.2015.07.011

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


  7 in total

1.  DNA recovery after sequential processing of latent fingerprints on copy paper.

Authors:  Abigail S Bathrick; Sarah Norsworthy; Dane T Plaza; Mallory N McCormick; Donia Slack; Robert S Ramotowski
Journal:  J Forensic Sci       Date:  2021-09-09       Impact factor: 1.717

2.  Qualitative and quantitative assessment of Illumina's forensic STR and SNP kits on MiSeq FGx™.

Authors:  Vishakha Sharma; Hoi Yan Chow; Donald Siegel; Elisa Wurmbach
Journal:  PLoS One       Date:  2017-11-09       Impact factor: 3.240

3.  Comparison of Two Massively Parallel Sequencing Platforms using 83 Single Nucleotide Polymorphisms for Human Identification.

Authors:  Dame Loveliness T Apaga; Sheila E Dennis; Jazelyn M Salvador; Gayvelline C Calacal; Maria Corazon A De Ungria
Journal:  Sci Rep       Date:  2017-03-24       Impact factor: 4.379

4.  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

5.  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

Review 6.  Massively parallel sequencing techniques for forensics: A review.

Authors:  Brigitte Bruijns; Roald Tiggelaar; Han Gardeniers
Journal:  Electrophoresis       Date:  2018-08-22       Impact factor: 3.535

7.  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

  7 in total

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