A detailed analysis of second and third-generation sequencing approaches for accurate length determination of short tandem repeats and homopolymers

Microsatellites are short tandem repeats (STRs) of a motif of 1-6 nucleotides that are ubiquitous in almost all genomes and widely used in many biomedical applications. However, despite the development of next-generation sequencing (NGS) over the past two decades with new technologies coming to the market, accurately sequencing and genotyping STRs, particularly homopolymers, remain very challenging today due to several technical limitations. This leads in many cases to erroneous allele calls and difficulty in correctly identifying the genuine allele distribution in a sample. Here, we assessed several second and third-generation sequencing approaches in their capability to correctly determine the length of microsatellites using plasmids containing A/T homopolymers, AC/TG or AT/TA dinucleotide STRs of variable length. Standard polymerase chain reaction (PCR)-free and PCR-containing, single Unique Molecular Indentifier (UMI) and dual UMI 'duplex sequencing' protocols were evaluated using Illumina short-read sequencing, and two PCR-free protocols using PacBio and Oxford Nanopore Technologies long-read sequencing. Several bioinformatics algorithms were developed to correctly identify microsatellite alleles from sequencing data, including four and two modes for generating standard and combined consensus alleles, respectively. We provided a detailed analysis and comparison of these approaches and made several recommendations for the accurate determination of microsatellite allele length.

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Publication Details

Journal
Nucleic Acids Research
Published
2025-02-27
DOI
https://doi.org/10.1093/nar/gkaf131
Citations
6
Primary Topic
Genomics and Phylogenetic Studies
Type
article
Field-Weighted Citation Impact
4.84
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article

A detailed analysis of second and third-generation sequencing approaches for accurate length determination of short tandem repeats and homopolymers

Marc Délepine, A. Alberdi, Zuzana Gerber, Alexandre How‐Kit et al.
6 citations
Nucleic Acids Research
Genomics and Phylogenetic Studies
4.84
article

A detailed analysis of second and third-generation sequencing approaches for accurate length determination of short tandem repeats and homopolymers

Marc Délepine, A. Alberdi, Zuzana Gerber, Alexandre How‐Kit, Sophie I. Jeanjean, Emmanuel Tubacher, Antoine Daunay, Jean‐François Deleuze, Lise M. Hardy, Yimin Shen
article en
6 citations

Abstract

Microsatellites are short tandem repeats (STRs) of a motif of 1-6 nucleotides that are ubiquitous in almost all genomes and widely used in many biomedical applications. However, despite the development of next-generation sequencing (NGS) over the past two decades with new technologies coming to the market, accurately sequencing and genotyping STRs, particularly homopolymers, remain very challenging today due to several technical limitations. This leads in many cases to erroneous allele calls and difficulty in correctly identifying the genuine allele distribution in a sample. Here, we assessed several second and third-generation sequencing approaches in their capability to correctly determine the length of microsatellites using plasmids containing A/T homopolymers, AC/TG or AT/TA dinucleotide STRs of variable length. Standard polymerase chain reaction (PCR)-free and PCR-containing, single Unique Molecular Indentifier (UMI) and dual UMI 'duplex sequencing' protocols were evaluated using Illumina short-read sequencing, and two PCR-free protocols using PacBio and Oxford Nanopore Technologies long-read sequencing. Several bioinformatics algorithms were developed to correctly identify microsatellite alleles from sequencing data, including four and two modes for generating standard and combined consensus alleles, respectively. We provided a detailed analysis and comparison of these approaches and made several recommendations for the accurate determination of microsatellite allele length.

Nucleic Acids ResearchVol. 53(5)
Saint Louis University Hospital (US), Fondation Jean Dausset-CEPH (FR), Centre National de Recherche en Génomique Humaine (FR)
Openalex Percentile: Top 5%
Genomics and Phylogenetic Studies
4.84
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