Evidence map›Paper›PMID 32989232›Full record

ArticleLaboratory investigation; a journal of technical methods and pathology2021

Assessing the utility of long-read nanopore sequencing for rapid and efficient characterization of mobile element insertions.

Christopher M Watson, Laura A Crinnion, Helen Lindsay, Rowena Mitchell, Nick Camm, Rachel Robinson, Caroline Joyce, George A Tanteles, Domhnall J O' Halloran, Sergio D J Pena and 2 more

Abstract read
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In one paragraph

Article in Laboratory investigation; a journal of technical methods and pathology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
–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

11 citing papers in PubMed.

  1. Transgene Mapping in Animals: What to Choose?International journal of molecular sciences · 2025
    Review
  2. Article
  3. Article
  4. Article
  5. Article
  6. Review
  7. Nanopore Sequencing ofACS omega · 2023
    Article
  8. Article
  9. Review
  10. Article
  11. Article
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.

Christopher M WatsonYorkshire and North East Genomic Laboratory Hub, Central Lab, St. James's University Hospital, Leeds, LS9 7TF, UK. c.m.watson@leeds.ac.uk.ORCID 0000-0003-2371-1844
Laura A CrinnionYorkshire and North East Genomic Laboratory Hub, Central Lab, St. James's University Hospital, Leeds, LS9 7TF, UK.
Helen LindsayYorkshire and North East Genomic Laboratory Hub, Central Lab, St. James's University Hospital, Leeds, LS9 7TF, UK.
Rowena MitchellYorkshire and North East Genomic Laboratory Hub, Central Lab, St. James's University Hospital, Leeds, LS9 7TF, UK.
Nick CammYorkshire and North East Genomic Laboratory Hub, Central Lab, St. James's University Hospital, Leeds, LS9 7TF, UK.
Rachel RobinsonYorkshire and North East Genomic Laboratory Hub, Central Lab, St. James's University Hospital, Leeds, LS9 7TF, UK.
Caroline JoyceDepartment of Endocrinology, Cork University Hospital, Wilton, Cork, Ireland.ORCID 0000-0001-7231-8331
George A TantelesDepartment of Clinical Genetics, The Cyprus Institute of Neurology and Genetics, 6 International Airport Avenue, PO Box 23462, CY1683, Nicosia, Cyprus.ORCID 0000-0002-8117-9852
Domhnall J O' HalloranDepartment of Endocrinology, Cork University Hospital, Wilton, Cork, Ireland.
Sergio D J PenaGENE-Núcleo de Genética Médica, Belo Horizonte, MG, Brazil.
Ian M CarrLeeds Institute of Medical Research, University of Leeds, St. James's University Hospital, Leeds, LS9 7TF, UK.
David T BonthronLeeds Institute of Medical Research, University of Leeds, St. James's University Hospital, Leeds, LS9 7TF, UK.ORCID 0000-0001-8132-8179

Funding

Medical Research Council MR/M009084/1
6 · The paper itself

Abstract

Short-read next generation sequencing (NGS) has become the predominant first-line technique used to diagnose patients with rare genetic conditions. Inherent limitations of short-read technology, notably for the detection and characterization of complex insertion-containing variants, are offset by the ability to concurrently screen many disease genes. "Third-generation" long-read sequencers are increasingly being deployed as an orthogonal adjunct technology, but their full potential for molecular genetic diagnosis has yet to be exploited. Here, we describe three diagnostic cases in which pathogenic mobile element insertions were refractory to characterization by short-read sequencing. To validate the accuracy of the long-read technology, we first used Sanger sequencing to confirm the integration sites and derive curated benchmark sequences of the variant-containing alleles. Long-read nanopore sequencing was then performed on locus-specific amplicons. Pairwise comparison between these data and the previously determined benchmark alleles revealed 100% identity of the variant-containing sequences. We demonstrate a number of technical advantages over existing wet-laboratory approaches, including in silico size selection of a mixed pool of amplification products, and the relative ease with which an automated informatics workflow can be established. Our findings add to a growing body of literature describing the diagnostic utility of long-read sequencing.

Indexed as

Databases, GeneticDNADNA Mutational AnalysisHigh-Throughput Nucleotide SequencingHumansInterspersed Repetitive SequencesMutagenesis, InsertionalNanopore SequencingNeoplasmsDNA

Identifiers

What OpenQuestion holds

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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.