Evidence map›Paper›PMID 29321516›Full record

ArticleJournal of human genetics2018

Clinical and mutational spectrum of Japanese patients with recessive variants in SH3TC2.

Jun-Hui Yuan, Akihiro Hashiguchi, Yuji Okamoto, Akiko Yoshimura, Masahiro Ando, Kazutaka Shiomi, Kayoko Saito, Makoto Takahashi, Keiko Ichinose, Takuma Ohmichi and 5 more

Abstract read
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In one paragraph

Article in Journal of human genetics, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
0.4field-weighted citation impact, top 46% 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

5 citing papers in PubMed, 14 citations in OpenAlex.

  1. Trial
  2. Observational
  3. Genetic Landscape ofFrontiers in genetics · 2024
    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

15 authors at 7 institutions in 1 country.

Jun-Hui YuanDepartment of Neurology and Geriatrics, Graduate School of Medical and Dental Sciences, Kagoshima University, Kagoshima, Japan.ORCID http://orcid.org/0000-0002-3808-7813
Akihiro HashiguchiDepartment of Neurology and Geriatrics, Graduate School of Medical and Dental Sciences, Kagoshima University, Kagoshima, Japan.
Yuji OkamotoDepartment of Neurology and Geriatrics, Graduate School of Medical and Dental Sciences, Kagoshima University, Kagoshima, Japan.
Akiko YoshimuraDepartment of Neurology and Geriatrics, Graduate School of Medical and Dental Sciences, Kagoshima University, Kagoshima, Japan.
Masahiro AndoDepartment of Neurology and Geriatrics, Graduate School of Medical and Dental Sciences, Kagoshima University, Kagoshima, Japan.
Kazutaka ShiomiDivision of Neurology, Respirology, Endocrinology and Metabolism, Department of Internal Medicine, University of Miyazaki, Miyazaki, Japan.
Kayoko SaitoInstitute of Medical Genetics, School of Medicine, Tokyo Women's Medical University, Tokyo, Japan.
Makoto TakahashiDepartment of Neurology, Tokyo Medical and Dental University, Tokyo, Japan.
Keiko IchinoseDepartment of Neurology, Tokyo Medical and Dental University, Tokyo, Japan.
Takuma OhmichiDepartment of Neurology, NHO Maizuru Medical Center, Kyoto, Japan.
Kazushi IchikawaDepartment of Pediatrics, Odawara Municipal Hospital, Kanagawa, Japan.
Adachi TadashiDivision of Neurology, Department of Brain and Neurosciences, Faculty of Medicine, Tottori University, Tottori, Japan.
Hiroshi TakigawaDivision of Neurology, Department of Brain and Neurosciences, Faculty of Medicine, Tottori University, Tottori, Japan.
Hidehiro ShibayamaDepartment of Neurology, Kameda Medical Center, Chiba, Japan.
Hiroshi TakashimaDepartment of Neurology and Geriatrics, Graduate School of Medical and Dental Sciences, Kagoshima University, Kagoshima, Japan. thiroshi@m3.kufm.kagoshima-u.ac.jp.
Kagoshima University · JPTokyo Medical and Dental University · JPTottori University · JPKameda Medical Center · JPOdawara Municipal Hospital · JPTokyo Women's Medical University · JPUniversity of Miyazaki · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

SH3TC2, known as the causative gene of autosomal recessive demyelinating Charcot-Marie-Tooth type 4C (CMT4C), was also found linked to a mild mononeuropathy of the median nerve with an autosomal dominant inheritance pattern. Using DNA microarray, Illumina MiSeq, and Ion proton, we carried out gene panel sequencing among 1483 Japanese CMT patients, containing 397 patients with demyelinating CMT. From seven patients with demyelinating CMT, we identified eight recessive variants in the SH3TC2 gene, consisting of five novel (pathogenic/likely pathogenic) and three reported variants. Additionally, from two patients with axonal CMT, we detected a reported recessive variant, p.Arg77Trp, which was herein reclassified as variant with unknown significance. Of the seven CMT4C patients (six females and one male), 2/7 patients developed symptoms at their first decade, and 5/7 patients lost their ambulation around age 50. Scoliosis was observed from more than half (4/7) of these patients, whereas hearing loss is the most common symptom of central nervous system (6/7). No median nerve mononeuropathy was recorded from their family members. We identified recessive variants in SH3TC2 from 1.76% of demyelinating CMT patients. An uncommon gender difference was recognized and the wild spectrum of these variants suggests mutational diversity of SH3TC2 in Japan.

Indexed as

Genes, RecessiveGenetic Association StudiesMutationPhenotypeAdolescentAdultAgedAllelesAmino Acid SubstitutionBiopsyCharcot-Marie-Tooth DiseaseChildDNA Mutational AnalysisFemaleGenotypeHigh-Throughput Nucleotide SequencingIntracellular Signaling Peptides and ProteinsProteinsSH3TC2 protein, human

Identifiers

PMID29321516
OpenAlexW2784163854

What OpenQuestion holds

Textmetadata
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.