Cargando…

NanoSTR: A method for detection of target short tandem repeats based on nanopore sequencing data

Short tandem repeats (STRs) are widely present in the human genome. Studies have confirmed that STRs are associated with more than 30 diseases, and they have also been used in forensic identification and paternity testing. However, there are few methods for STR detection based on nanopore sequencing...

Descripción completa

Detalles Bibliográficos
Autores principales: Lang, Jidong, Xu, Zhihua, Wang, Yue, Sun, Jiguo, Yang, Zhi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9889824/
https://www.ncbi.nlm.nih.gov/pubmed/36743210
http://dx.doi.org/10.3389/fmolb.2023.1093519
_version_ 1784880814629060608
author Lang, Jidong
Xu, Zhihua
Wang, Yue
Sun, Jiguo
Yang, Zhi
author_facet Lang, Jidong
Xu, Zhihua
Wang, Yue
Sun, Jiguo
Yang, Zhi
author_sort Lang, Jidong
collection PubMed
description Short tandem repeats (STRs) are widely present in the human genome. Studies have confirmed that STRs are associated with more than 30 diseases, and they have also been used in forensic identification and paternity testing. However, there are few methods for STR detection based on nanopore sequencing due to the challenges posed by the sequencing principles and the data characteristics of nanopore sequencing. We developed NanoSTR for detection of target STR loci based on the length-number-rank (LNR) information of reads. NanoSTR can be used for STR detection and genotyping based on long-read data from nanopore sequencing with improved accuracy and efficiency compared with other existing methods, such as Tandem-Genotypes and TRiCoLOR. NanoSTR showed 100% concordance with the expected genotypes using error-free simulated data, and also achieved >85% concordance using the standard samples (containing autosomal and Y-chromosomal loci) with MinION sequencing platform, respectively. NanoSTR showed high performance for detection of target STR markers. Although NanoSTR needs further optimization and development, it is useful as an analytical method for the detection of STR loci by nanopore sequencing. This method adds to the toolbox for nanopore-based STR analysis and expands the applications of nanopore sequencing in scientific research and clinical scenarios. The main code and the data are available at https://github.com/langjidong/NanoSTR.
format Online
Article
Text
id pubmed-9889824
institution National Center for Biotechnology Information
language English
publishDate 2023
publisher Frontiers Media S.A.
record_format MEDLINE/PubMed
spelling pubmed-98898242023-02-02 NanoSTR: A method for detection of target short tandem repeats based on nanopore sequencing data Lang, Jidong Xu, Zhihua Wang, Yue Sun, Jiguo Yang, Zhi Front Mol Biosci Molecular Biosciences Short tandem repeats (STRs) are widely present in the human genome. Studies have confirmed that STRs are associated with more than 30 diseases, and they have also been used in forensic identification and paternity testing. However, there are few methods for STR detection based on nanopore sequencing due to the challenges posed by the sequencing principles and the data characteristics of nanopore sequencing. We developed NanoSTR for detection of target STR loci based on the length-number-rank (LNR) information of reads. NanoSTR can be used for STR detection and genotyping based on long-read data from nanopore sequencing with improved accuracy and efficiency compared with other existing methods, such as Tandem-Genotypes and TRiCoLOR. NanoSTR showed 100% concordance with the expected genotypes using error-free simulated data, and also achieved >85% concordance using the standard samples (containing autosomal and Y-chromosomal loci) with MinION sequencing platform, respectively. NanoSTR showed high performance for detection of target STR markers. Although NanoSTR needs further optimization and development, it is useful as an analytical method for the detection of STR loci by nanopore sequencing. This method adds to the toolbox for nanopore-based STR analysis and expands the applications of nanopore sequencing in scientific research and clinical scenarios. The main code and the data are available at https://github.com/langjidong/NanoSTR. Frontiers Media S.A. 2023-01-18 /pmc/articles/PMC9889824/ /pubmed/36743210 http://dx.doi.org/10.3389/fmolb.2023.1093519 Text en Copyright © 2023 Lang, Xu, Wang, Sun and Yang. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Molecular Biosciences
Lang, Jidong
Xu, Zhihua
Wang, Yue
Sun, Jiguo
Yang, Zhi
NanoSTR: A method for detection of target short tandem repeats based on nanopore sequencing data
title NanoSTR: A method for detection of target short tandem repeats based on nanopore sequencing data
title_full NanoSTR: A method for detection of target short tandem repeats based on nanopore sequencing data
title_fullStr NanoSTR: A method for detection of target short tandem repeats based on nanopore sequencing data
title_full_unstemmed NanoSTR: A method for detection of target short tandem repeats based on nanopore sequencing data
title_short NanoSTR: A method for detection of target short tandem repeats based on nanopore sequencing data
title_sort nanostr: a method for detection of target short tandem repeats based on nanopore sequencing data
topic Molecular Biosciences
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9889824/
https://www.ncbi.nlm.nih.gov/pubmed/36743210
http://dx.doi.org/10.3389/fmolb.2023.1093519
work_keys_str_mv AT langjidong nanostramethodfordetectionoftargetshorttandemrepeatsbasedonnanoporesequencingdata
AT xuzhihua nanostramethodfordetectionoftargetshorttandemrepeatsbasedonnanoporesequencingdata
AT wangyue nanostramethodfordetectionoftargetshorttandemrepeatsbasedonnanoporesequencingdata
AT sunjiguo nanostramethodfordetectionoftargetshorttandemrepeatsbasedonnanoporesequencingdata
AT yangzhi nanostramethodfordetectionoftargetshorttandemrepeatsbasedonnanoporesequencingdata