Evidence map›Paper›PMID 29145603›Full record

ArticleJAMA ophthalmology2017

Accuracy of Next-Generation Sequencing for Molecular Diagnosis in Patients With Infantile Nystagmus Syndrome.

John Hoon Rim, Seung-Tae Lee, Heon Yung Gee, Byung Joo Lee, Jong Rak Choi, Hye Won Park, Sueng-Han Han, Jinu Han

Erratum issuedOpen access · bronzeAbstract read
In one paragraph

Article in JAMA ophthalmology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 40 papers.

0numbers the graph read from it
0cells of the map it votes in
40citing papers in PubMed
2.1field-weighted citation impact, top 12% of its field
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

40 citing papers in PubMed, 77 citations in OpenAlex.

  1. Trial
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  4. Genes · 2025
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  14. Genetic testing for infantile nystagmus syndrome with or without associated findings.Journal of AAPOS : the official publication of the American Association for Pediatric Ophthalmology and Strabismus · 2023
    Review
  15. Article
  16. Article
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  20. Observational
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

8 authors at 2 institutions in 1 country.

John Hoon RimDepartment of Laboratory Medicine, Severance Hospital, Yonsei University College of Medicine, Seoul, Korea.
Seung-Tae LeeDepartment of Laboratory Medicine, Severance Hospital, Yonsei University College of Medicine, Seoul, Korea.
Heon Yung GeeDepartment of Medicine, Yonsei University Graduate School of Medicine, Seoul, Korea.
Byung Joo LeeDepartment of Biomedical Sciences, Seoul National University Graduate School, Seoul, Korea.
Jong Rak ChoiDepartment of Laboratory Medicine, Severance Hospital, Yonsei University College of Medicine, Seoul, Korea.
Hye Won ParkDepartment of Ophthalmology, Severance Hospital, Institute of Vision Research, Yonsei University College of Medicine, Seoul, Korea.
Sueng-Han HanDepartment of Ophthalmology, Severance Hospital, Institute of Vision Research, Yonsei University College of Medicine, Seoul, Korea.
Jinu HanDepartment of Ophthalmology, Severance Hospital, Institute of Vision Research, Yonsei University College of Medicine, Seoul, Korea.
Yonsei University · KRSeoul National University · KR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Importance: Infantile nystagmus syndrome (INS) is a group of disorders presenting with genetic and clinical heterogeneities that have challenged the genetic and clinical diagnoses of INS. Precise molecular diagnosis in early infancy may result in more accurate genetic counseling and improved patient management. Objective: To assess the accuracy of genomic data from next-generation sequencing (NGS) and phenotypic data to enhance the definitive diagnosis of INS. Design, Setting, and Participants: A single-center retrospective case series was conducted in 48 unrelated, consecutive patients with INS, with or without associated ocular or systemic conditions, who underwent genetic testing between June 1, 2015, and January 31, 2017. Next-generation sequencing analysis was performed using a target panel that included 113 genes associated with INS (n = 47) or a TruSight One sequencing panel that included 4813 genes associated with known human phenotypes (n = 1). Variants were filtered and prioritized by in-depth clinical review, and finally classified according to the American College of Medical Genetics and Genomics guidelines. Patients underwent a detailed ophthalmic examination, including electroretinography and optical coherence tomography, if feasible. Main Outcomes and Measures: Diagnostic yield of targeted NGS testing. Results: Among the 48 patients (21 female and 27 male; mean [SD] age at genetic testing, 9.2 [10.3] years), 8 had a family history of nystagmus and 40 were simplex. All patients were of a single ethnicity (Korean). Genetic variants that were highly likely to be causative were identified in 28 of the 48 patients, corresponding to a molecular diagnostic yield of 58.3% (95% CI, 44.4%-72.2%). FRMD7, GPR143, and PAX6 mutations appeared to be the major genetic causes of familial INS. A total of 10 patients (21%) were reclassified to a different diagnosis based on results of NGS testing, enabling accurate clinical management. Conclusions and Relevance: These findings suggest that NGS is an accurate diagnostic tool to differentiate causes of INS because diagnostic tests, such as electroretinography and optical coherence tomography, are not easily applicable in young infants. Accurate application of NGS using a standardized, stepwise, team-based approach in early childhood not only facilitated early molecular diagnosis but also led to improved personalized management in patients with INS.

Indexed as

AdolescentAdultChildChild, PreschoolDNA Mutational AnalysisEye ProteinsFemaleHigh-Throughput Nucleotide SequencingHumansInfantMaleMolecular Diagnostic TechniquesMutationNystagmus, CongenitalPedigreeReproducibility of ResultsEye Proteins

Identifiers

PMID29145603
PMCPMC6583550
OpenAlexW2770545164

What OpenQuestion holds

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Read underepoch 390

Registered trials

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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.