HIrisPlex-S system for eye, hair, and skin color prediction from DNA: Massively parallel sequencing solutions for two common forensically used platforms.


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 2019
Historique:
received: 06 05 2019
revised: 26 07 2019
accepted: 22 08 2019
pubmed: 14 9 2019
medline: 27 12 2019
entrez: 14 9 2019
Statut: ppublish

Résumé

Forensic DNA Phenotyping (FDP) provides the ability to predict externally visible characteristics from minute amounts of crime scene DNA, which can help find unknown perpetrators who are typically unidentifiable via conventional forensic DNA profiling. Fundamental human genetics research has led to a better understanding of the specific DNA variants responsible for physical appearance characteristics, particularly eye, hair, and skin color. Recently, we introduced the HIrisPlex-S system for the simultaneous prediction of eye, hair, and skin color based on 41 DNA variants generated from two forensically validated SNaPshot multiplex assays using capillary electrophoresis (CE). Here we introduce massively parallel sequencing (MPS) solutions for the HIrisPlex-S (HPS) system on two MPS platforms commonly used in forensics, Ion Torrent and MiSeq, that cover all 41 DNA variants in a single assay, respectively. Additionally, we present the forensic developmental validation of the two HPS-MPS assays. The Ion Torrent MPS assay, based on Ion AmpliSeq technology, illustrated the successful generation of full HIrisPlex-S genotypic profiles from 100 pg of input control DNA, while the MiSeq MPS assay based on an in-house design yielded complete profiles from 250 pg of input DNA. Assessing simulated forensic casework samples such as saliva, hair (bulb), blood, semen, and low quantity touch DNA, as well as artificially damaged DNA samples, concordance testing, and samples from numerous species, all illustrated the ability of both versions of the HIrisPlex-S MPS assay to produce results that motivate forensic applications. By also providing an integrated bioinformatics analysis pipeline, MPS data can now be analyzed and a file generated for upload to the publically accessible HIrisPlex online webtool (https://hirisplex.erasmusmc.nl). In addition, we updated the website to accept VCF input data for those with genome sequence data. We thus provide a user-friendly and semi-automated MPS workflow from DNA sample to individual eye, hair, and skin color prediction probabilities. Furthermore, we present a 2-person mixture separation tool that not only assesses genotype reliability with regards genotyping confidence but also provides the most fitting mixture scenario for both minor and major contributors, including profile separation. We envision this MPS implementation of the HIrisPlex-S system for eye, hair, and skin color prediction from DNA as a starting point for further expanding MPS-based forensic DNA phenotyping. This may include the future addition of SNPs predictive for more externally visible characteristics, as well as SNPs for bio-geographic ancestry inference, provided the statistical framework for DNA prediction of these traits is in place.

Identifiants

pubmed: 31518964
pii: S1872-4973(19)30205-4
doi: 10.1016/j.fsigen.2019.102152
pii:
doi:

Substances chimiques

DNA 9007-49-2

Types de publication

Journal Article Research Support, U.S. Gov't, Non-P.H.S. Validation Study

Langues

eng

Sous-ensembles de citation

IM

Pagination

102152

Informations de copyright

Copyright © 2019 Elsevier B.V. All rights reserved.

Auteurs

Krystal Breslin (K)

Department of Biology, Indiana University Purdue University Indianapolis (IUPUI), Indiana, United States.

Bailey Wills (B)

Department of Biology, Indiana University Purdue University Indianapolis (IUPUI), Indiana, United States.

Arwin Ralf (A)

Department of Genetic Identification, Erasmus MC University Medical Center Rotterdam, Rotterdam, The Netherlands.

Marina Ventayol Garcia (M)

Department of Human Biological Traces, Netherlands Forensic Institute, The Hague, The Netherlands.

Magdalena Kukla-Bartoszek (M)

Faculty of Biochemistry, Biophysics and Biotechnology, Jagiellonian University, Kraków, Poland.

Ewelina Pospiech (E)

Malopolska Centre of Biotechnology, Jagiellonian University, Kraków, Poland.

Ana Freire-Aradas (A)

Forensic Genetics Unit, Institute of Forensic Sciences, University of Santiago de Compostela, Santiago de Compostela, Spain.

Catarina Xavier (C)

Institute of Legal Medicine, Medical University of Innsbruck, Innsbruck, Austria.

Sabrina Ingold (S)

Zurich Institute of Forensic Medicine, University of Zurich, Zurich, Switzerland.

Maria de La Puente (M)

Forensic Genetics Unit, Institute of Forensic Sciences, University of Santiago de Compostela, Santiago de Compostela, Spain; Institute of Legal Medicine, Medical University of Innsbruck, Innsbruck, Austria.

Kristiaan J van der Gaag (KJ)

Department of Human Biological Traces, Netherlands Forensic Institute, The Hague, The Netherlands.

Noah Herrick (N)

Department of Biology, Indiana University Purdue University Indianapolis (IUPUI), Indiana, United States.

Cordula Haas (C)

Zurich Institute of Forensic Medicine, University of Zurich, Zurich, Switzerland.

Walther Parson (W)

Institute of Legal Medicine, Medical University of Innsbruck, Innsbruck, Austria; Forensic Science Program, The Pennsylvania State University, University Park, PA, United States.

Christopher Phillips (C)

Forensic Genetics Unit, Institute of Forensic Sciences, University of Santiago de Compostela, Santiago de Compostela, Spain.

Titia Sijen (T)

Department of Human Biological Traces, Netherlands Forensic Institute, The Hague, The Netherlands.

Wojciech Branicki (W)

Malopolska Centre of Biotechnology, Jagiellonian University, Kraków, Poland; Central Forensic Laboratory of the Police, Warsaw, Poland.

Susan Walsh (S)

Department of Biology, Indiana University Purdue University Indianapolis (IUPUI), Indiana, United States. Electronic address: walshsus@iupui.edu.

Manfred Kayser (M)

Department of Genetic Identification, Erasmus MC University Medical Center Rotterdam, Rotterdam, The Netherlands. Electronic address: m.kayser@erasmusmc.nl.

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Classifications MeSH