TRcaller: a novel tool for precise and ultrafast tandem repeat variant genotyping in massively parallel sequencing reads.
disease TR genotyping
forensics STR identification
high throughput sequencing
tandem repeat
variant caller
Journal
Frontiers in genetics
ISSN: 1664-8021
Titre abrégé: Front Genet
Pays: Switzerland
ID NLM: 101560621
Informations de publication
Date de publication:
2023
2023
Historique:
received:
22
05
2023
accepted:
13
06
2023
medline:
3
8
2023
pubmed:
3
8
2023
entrez:
3
8
2023
Statut:
epublish
Résumé
Calling tandem repeat (TR) variants from DNA sequences is of both theoretical and practical significance. Some bioinformatics tools have been developed for detecting or genotyping TRs. However, little study has been done to genotyping TR alleles from long-read sequencing data, and the accuracy of genotyping TR alleles from next-generation sequencing data still needs to be improved. Herein, a novel algorithm is described to retrieve TR regions from sequence alignment, and a software program TRcaller has been developed and integrated into a web portal to call TR alleles from both short- and long-read sequences, both whole genome and targeted sequences generated from multiple sequencing platforms. All TR alleles are genotyped as haplotypes and the robust alleles will be reported, even multiple alleles in a DNA mixture. TRcaller could provide substantially higher accuracy (>99% in 289 human individuals) in detecting TR alleles with magnitudes faster (e.g., ∼2 s for 300x human sequence data) than the mainstream software tools. The web portal preselected 119 TR loci from forensics, genealogy, and disease related TR loci. TRcaller is validated to be scalable in various applications, such as DNA forensics and disease diagnosis, which can be expanded into other fields like breeding programs. Availability: TRcaller is available at https://www.trcaller.com/SignIn.aspx.
Identifiants
pubmed: 37533432
doi: 10.3389/fgene.2023.1227176
pii: 1227176
pmc: PMC10390829
doi:
Types de publication
Journal Article
Langues
eng
Pagination
1227176Informations de copyright
Copyright © 2023 Wang, Huang, Budowle and Ge.
Déclaration de conflit d'intérêts
The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.
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