Nanopore sequencing of a forensic combined STR and SNP multiplex.


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:
01 2022
Historique:
received: 07 07 2021
revised: 22 10 2021
accepted: 22 10 2021
pubmed: 7 11 2021
medline: 1 2 2022
entrez: 6 11 2021
Statut: ppublish

Résumé

Nanopore sequencing for forensic purposes has gained attention, as it yields added discriminatory power compared to capillary electrophoresis (CE), without the need for a high up-front capital investment. Besides enabling the detection of iso-alleles, Massively Parallel Sequencing (MPS) facilitates the analysis of Short Tandem Repeats (STRs) and Single Nucleotide Polymorphisms (SNPs) in parallel. In this research, six single-contributor samples were amplified by such a combined multiplex of 58 STR and 94 SNP loci, followed by nanopore sequencing using an R10.3 flowcell. Basecalling was performed using two state-of-the-art basecallers, Guppy and Bonito. An advanced alignment-based analysis method was developed, which lowered the noise after alignment of the STR reads to a reference library. Although STR genotyping by nanopore sequencing is more challenging, correct genotyping was obtained for all autosomal and all but two non-autosomal STR loci. Moreover, genotyping of iso-alleles proved to be very accurate. SNP genotyping yielded an accuracy of 99% for both basecallers. The use of novel basecallers, in combination with the newly developed alignment-based analysis method, yields results with a pronouncedly higher STR genotyping accuracy compared to previous studies.

Identifiants

pubmed: 34742095
pii: S1872-4973(21)00157-5
doi: 10.1016/j.fsigen.2021.102621
pii:
doi:

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

102621

Informations de copyright

Copyright © 2021 The Authors. Published by Elsevier B.V. All rights reserved.

Auteurs

Olivier Tytgat (O)

Laboratory of Pharmaceutical Biotechnology, Ghent University, 9000 Gent, Belgium; Imec, Kapeldreef 75, Leuven 3001, Belgium.

Sonja Škevin (S)

Laboratory of Pharmaceutical Biotechnology, Ghent University, 9000 Gent, Belgium.

Dieter Deforce (D)

Laboratory of Pharmaceutical Biotechnology, Ghent University, 9000 Gent, Belgium.

Filip Van Nieuwerburgh (F)

Laboratory of Pharmaceutical Biotechnology, Ghent University, 9000 Gent, Belgium. Electronic address: Filip.VanNieuwerburgh@UGent.be.

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Classifications MeSH