Evidence map›Paper›PMID 40722552›Full record

ReviewDiagnostics (Basel, Switzerland)2025

Long-Read Sequencing and Structural Variant Detection: Unlocking the Hidden Genome in Rare Genetic Disorders.

Efthalia Moustakli, Panagiotis Christopoulos, Anastasios Potiris, Athanasios Zikopoulos, Despoina Mavrogianni, Grigorios Karampas, Nikolaos Kathopoulis, Ismini Anagnostaki, Ekaterini Domali, Alexandros T Tzallas and 2 more

Abstract readReview
In one paragraph

Review in Diagnostics (Basel, Switzerland), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed, 1 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

13 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Review
  4. Journal of medical genetics · 2026
    Article
  5. Detection of a complex chromosomal rearrangement in a novel mouse mutant by optical genome mapping.Mammalian genome : official journal of the International Mammalian Genome Society · 2026
    Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Review
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  12. Article
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

12 authors.

Efthalia MoustakliLaboratory of Medical Genetics, Faculty of Medicine, School of Health Sciences, University of Ioannina, 451 10 Ioannina, Greece.ORCID 0009-0005-3333-2620
Panagiotis ChristopoulosSecond Department of Obstetrics and Gynecology, University Hospital "Aretaieion", Medical School, National and Kapodistrian University of Athens, 115 28 Athens, Greece.ORCID 0000-0003-4112-8396
Anastasios PotirisThird Department of Obstetrics and Gynecology, University General Hospital "ATTIKON", Medical School, National and Kapodistrian University of Athens, 124 62 Athens, Greece.ORCID 0000-0001-7716-1521
Athanasios ZikopoulosThird Department of Obstetrics and Gynecology, University General Hospital "ATTIKON", Medical School, National and Kapodistrian University of Athens, 124 62 Athens, Greece.ORCID 0009-0002-9553-6803
Despoina MavrogianniFirst Department of Obstetrics and Gynecology, Alexandra Hospital, Medical School, National and Kapodistrian University of Athens, 115 28 Athens, Greece.
Grigorios KarampasSecond Department of Obstetrics and Gynecology, University Hospital "Aretaieion", Medical School, National and Kapodistrian University of Athens, 115 28 Athens, Greece.ORCID 0000-0001-5897-8958
Nikolaos KathopoulisFirst Department of Obstetrics and Gynecology, Alexandra Hospital, Medical School, National and Kapodistrian University of Athens, 115 28 Athens, Greece.ORCID 0000-0002-0031-809X
Ismini AnagnostakiThird Department of Obstetrics and Gynecology, University General Hospital "ATTIKON", Medical School, National and Kapodistrian University of Athens, 124 62 Athens, Greece.
Ekaterini DomaliFirst Department of Obstetrics and Gynecology, Alexandra Hospital, Medical School, National and Kapodistrian University of Athens, 115 28 Athens, Greece.ORCID 0000-0001-8899-3040
Alexandros T TzallasDepartment of Informatics and Telecommunications, University of Ioannina, Kostakioi, 471 50 Arta, Greece.ORCID 0000-0001-9043-1290
Peter DrakakisThird Department of Obstetrics and Gynecology, University General Hospital "ATTIKON", Medical School, National and Kapodistrian University of Athens, 124 62 Athens, Greece.
Sofoklis StavrosThird Department of Obstetrics and Gynecology, University General Hospital "ATTIKON", Medical School, National and Kapodistrian University of Athens, 124 62 Athens, Greece.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Rare genetic diseases are often caused by structural variants (SVs), such as insertions, deletions, duplications, inversions, and complex rearrangements. However, due to the technical limitations of short-read sequencing, these variants remain underdiagnosed. Long-read sequencing technologies, including Oxford Nanopore and Pacific Biosciences high-fidelity (HiFi), have recently advanced to the point that they can accurately find SVs throughout the genome, including in previously unreachable areas like repetitive sequences and segmental duplications. This study underscores the transformative role of long-read sequencing in diagnosing rare diseases, emphasizing the bioinformatics tools designed for detecting and interpreting structural variants (SVs). Comprehensive methods are reviewed, including methylation profiling, RNA-seq, phasing analysis, and long-read sequencing. The effectiveness and applications of well-known tools like Sniffles2, SVIM, and cuteSV are also assessed. Case studies illustrate how this technique has revealed new pathogenic pathways and solved cases that were previously undetected. Along with outlining potential future paths like telomere-to-telomere assemblies and pan-genome integration, we also address existing issues, including cost, clinical validation, and computational complexity. For uncommon genetic illnesses, long-read sequencing has the potential to completely change the molecular diagnostic picture as it approaches clinical adoption.

Indexed as

bioinformaticsclinical genomicscopy number variationsgenetic diagnosisgenome sequencingmachine learningstructural variants

Identifiers

PMID40722552
PMCPMC12293859

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.