Long read sequencing on its way to the routine diagnostics of genetic diseases.

RNA sequencing genetic diseases long read sequencing methylation molecular diagnosis single nucleotide variants structural variants tandem repeats

Journal

Frontiers in genetics
ISSN: 1664-8021
Titre abrégé: Front Genet
Pays: Switzerland
ID NLM: 101560621

Informations de publication

Date de publication:
2024
Historique:
received: 22 01 2024
accepted: 26 02 2024
medline: 21 3 2024
pubmed: 21 3 2024
entrez: 21 3 2024
Statut: epublish

Résumé

The clinical application of technological progress in the identification of DNA alterations has always led to improvements of diagnostic yields in genetic medicine. At chromosome side, from cytogenetic techniques evaluating number and gross structural defects to genomic microarrays detecting cryptic copy number variants, and at molecular level, from Sanger method studying the nucleotide sequence of single genes to the high-throughput next-generation sequencing (NGS) technologies, resolution and sensitivity progressively increased expanding considerably the range of detectable DNA anomalies and alongside of Mendelian disorders with known genetic causes. However, particular genomic regions (i.e., repetitive and GC-rich sequences) are inefficiently analyzed by standard genetic tests, still relying on laborious, time-consuming and low-sensitive approaches (i.e., southern-blot for repeat expansion or long-PCR for genes with highly homologous pseudogenes), accounting for at least part of the patients with undiagnosed genetic disorders. Third generation sequencing, generating long reads with improved mappability, is more suitable for the detection of structural alterations and defects in hardly accessible genomic regions. Although recently implemented and not yet clinically available, long read sequencing (LRS) technologies have already shown their potential in genetic medicine research that might greatly impact on diagnostic yield and reporting times, through their translation to clinical settings. The main investigated LRS application concerns the identification of structural variants and repeat expansions, probably because techniques for their detection have not evolved as rapidly as those dedicated to single nucleotide variants (SNV) identification: gold standard analyses are karyotyping and microarrays for balanced and unbalanced chromosome rearrangements, respectively, and southern blot and repeat-primed PCR for the amplification and sizing of expanded alleles, impaired by limited resolution and sensitivity that have not been significantly improved by the advent of NGS. Nevertheless, more recently, with the increased accuracy provided by the latest product releases, LRS has been tested also for SNV detection, especially in genes with highly homologous pseudogenes and for haplotype reconstruction to assess the parental origin of alleles with

Identifiants

pubmed: 38510277
doi: 10.3389/fgene.2024.1374860
pii: 1374860
pmc: PMC10951082
doi:

Types de publication

Journal Article Review

Langues

eng

Pagination

1374860

Informations de copyright

Copyright © 2024 Olivucci, Iovino, Innella, Turchetti, Pippucci and Magini.

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. The author(s) declared that they were an editorial board member of Frontiers, at the time of submission. This had no impact on the peer review process and the final decision.

Auteurs

Giulia Olivucci (G)

IRCCS Azienda Ospedaliero-Universitaria di Bologna, Bologna, Italy.
Department of Surgical and Oncological Sciences, University of Palermo, Palermo, Italy.

Emanuela Iovino (E)

IRCCS Azienda Ospedaliero-Universitaria di Bologna, Bologna, Italy.

Giovanni Innella (G)

Department of Medical and Surgical Sciences (DIMEC), University of Bologna, Bologna, Italy.
Medical Genetics Unit, IRCCS Azienda Ospedaliero-Universitaria di Bologna, Bologna, Italy.

Daniela Turchetti (D)

Department of Medical and Surgical Sciences (DIMEC), University of Bologna, Bologna, Italy.
Medical Genetics Unit, IRCCS Azienda Ospedaliero-Universitaria di Bologna, Bologna, Italy.

Tommaso Pippucci (T)

IRCCS Azienda Ospedaliero-Universitaria di Bologna, Bologna, Italy.

Pamela Magini (P)

Medical Genetics Unit, IRCCS Azienda Ospedaliero-Universitaria di Bologna, Bologna, Italy.

Classifications MeSH