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Massively parallel sequencing of 25 autosomal STRs including SE33 in four population groups for forensic applications

The introduction of massively parallel sequencing (MPS) in forensic investigation enables sequence-based large-scale multiplexing beyond size-based analysis using capillary electrophoresis (CE). For the practical application of MPS to forensic casework, many population studies have provided sequence...

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Autores principales: Kwon, Ye-Lim, Kim, Bo Min, Lee, Eun Young, Shin, Kyoung-Jin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7907369/
https://www.ncbi.nlm.nih.gov/pubmed/33633141
http://dx.doi.org/10.1038/s41598-021-82814-z
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author Kwon, Ye-Lim
Kim, Bo Min
Lee, Eun Young
Shin, Kyoung-Jin
author_facet Kwon, Ye-Lim
Kim, Bo Min
Lee, Eun Young
Shin, Kyoung-Jin
author_sort Kwon, Ye-Lim
collection PubMed
description The introduction of massively parallel sequencing (MPS) in forensic investigation enables sequence-based large-scale multiplexing beyond size-based analysis using capillary electrophoresis (CE). For the practical application of MPS to forensic casework, many population studies have provided sequence data for autosomal short tandem repeats (STRs). However, SE33, a highly polymorphic STR marker, has little sequence-based data because of difficulties in analysis. In this study, 25 autosomal STRs were analyzed, including SE33, using an in-house MPS panel for 350 samples from four populations (African–American, Caucasian, Hispanic, and Korean). The barcoded MPS library was generated using a two-step PCR method and sequenced using a MiSeq System. As a result, 99.88% genotype concordance was obtained between length- and sequence-based analyses. In SE33, the most discordances (eight samples, 0.08%) were observed because of the 4 bp deletion between the CE and MPS primer binding sites. Compared with the length-based CE method, the number of alleles increased from 332 to 725 (2.18-fold) for 25 autosomal STRs in the sequence-based MPS method. Notably, additional 129 unique alleles, a 4.15-fold increase, were detected in SE33 by identifying sequence variations. This population data set provides sequence variations and sequence-based allele frequencies for 25 autosomal STRs.
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spelling pubmed-79073692021-03-02 Massively parallel sequencing of 25 autosomal STRs including SE33 in four population groups for forensic applications Kwon, Ye-Lim Kim, Bo Min Lee, Eun Young Shin, Kyoung-Jin Sci Rep Article The introduction of massively parallel sequencing (MPS) in forensic investigation enables sequence-based large-scale multiplexing beyond size-based analysis using capillary electrophoresis (CE). For the practical application of MPS to forensic casework, many population studies have provided sequence data for autosomal short tandem repeats (STRs). However, SE33, a highly polymorphic STR marker, has little sequence-based data because of difficulties in analysis. In this study, 25 autosomal STRs were analyzed, including SE33, using an in-house MPS panel for 350 samples from four populations (African–American, Caucasian, Hispanic, and Korean). The barcoded MPS library was generated using a two-step PCR method and sequenced using a MiSeq System. As a result, 99.88% genotype concordance was obtained between length- and sequence-based analyses. In SE33, the most discordances (eight samples, 0.08%) were observed because of the 4 bp deletion between the CE and MPS primer binding sites. Compared with the length-based CE method, the number of alleles increased from 332 to 725 (2.18-fold) for 25 autosomal STRs in the sequence-based MPS method. Notably, additional 129 unique alleles, a 4.15-fold increase, were detected in SE33 by identifying sequence variations. This population data set provides sequence variations and sequence-based allele frequencies for 25 autosomal STRs. Nature Publishing Group UK 2021-02-25 /pmc/articles/PMC7907369/ /pubmed/33633141 http://dx.doi.org/10.1038/s41598-021-82814-z Text en © The Author(s) 2021 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/.
spellingShingle Article
Kwon, Ye-Lim
Kim, Bo Min
Lee, Eun Young
Shin, Kyoung-Jin
Massively parallel sequencing of 25 autosomal STRs including SE33 in four population groups for forensic applications
title Massively parallel sequencing of 25 autosomal STRs including SE33 in four population groups for forensic applications
title_full Massively parallel sequencing of 25 autosomal STRs including SE33 in four population groups for forensic applications
title_fullStr Massively parallel sequencing of 25 autosomal STRs including SE33 in four population groups for forensic applications
title_full_unstemmed Massively parallel sequencing of 25 autosomal STRs including SE33 in four population groups for forensic applications
title_short Massively parallel sequencing of 25 autosomal STRs including SE33 in four population groups for forensic applications
title_sort massively parallel sequencing of 25 autosomal strs including se33 in four population groups for forensic applications
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7907369/
https://www.ncbi.nlm.nih.gov/pubmed/33633141
http://dx.doi.org/10.1038/s41598-021-82814-z
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