Evidence map›Paper›PMID 26597493›Full record

ArticleHuman genetics2016

Genetic heterogeneity in 26 infants with a hypomyelinating leukodystrophy.

Natsuko Arai-Ichinoi, Mitsugu Uematsu, Ryo Sato, Tasuku Suzuki, Hiroki Kudo, Atsuo Kikuchi, Naomi Hino-Fukuyo, Mitsuyo Matsumoto, Kazuhiko Igarashi, Kazuhiro Haginoya and 1 more

Abstract read
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In one paragraph

Article in Human genetics, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed
2.0field-weighted citation impact, top 13% 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

17 citing papers in PubMed, 34 citations in OpenAlex.

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  10. Microtubule Dysfunction: A Common Feature of Neurodegenerative Diseases.International journal of molecular sciences · 2020
    Review
  11. Phactr1 regulates Slack (KCNT1) channels via protein phosphatase 1 (PP1).FASEB journal : official publication of the Federation of American Societies for Experimental Biology · 2020
    Article
  12. Article
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  17. A novelHuman genome variation · 2017
    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

11 authors at 2 institutions in 1 country.

Natsuko Arai-IchinoiDepartment of Pediatrics, Tohoku University School of Medicine, 2-1 Seiryomachi, Aobaku, Sendai, 980-8574, Japan.
Mitsugu UematsuDepartment of Pediatrics, Tohoku University School of Medicine, 2-1 Seiryomachi, Aobaku, Sendai, 980-8574, Japan. uematsu@bk9.so-net.ne.jp.
Ryo SatoDepartment of Pediatrics, Tohoku University School of Medicine, 2-1 Seiryomachi, Aobaku, Sendai, 980-8574, Japan.
Tasuku SuzukiDepartment of Pediatrics, Tohoku University School of Medicine, 2-1 Seiryomachi, Aobaku, Sendai, 980-8574, Japan.
Hiroki KudoDepartment of Pediatrics, Tohoku University School of Medicine, 2-1 Seiryomachi, Aobaku, Sendai, 980-8574, Japan.
Atsuo KikuchiDepartment of Pediatrics, Tohoku University School of Medicine, 2-1 Seiryomachi, Aobaku, Sendai, 980-8574, Japan.
Naomi Hino-FukuyoDepartment of Pediatrics, Tohoku University School of Medicine, 2-1 Seiryomachi, Aobaku, Sendai, 980-8574, Japan.
Mitsuyo MatsumotoDepartment of Biochemistry, Tohoku University Graduate School of Medicine, 2-1 Seiryomachi, Aobaku, Sendai, 980-8575, Japan.
Kazuhiko IgarashiDepartment of Biochemistry, Tohoku University Graduate School of Medicine, 2-1 Seiryomachi, Aobaku, Sendai, 980-8575, Japan.
Kazuhiro HaginoyaDepartment of Pediatric Neurology, Takuto Rehabilitation Center for Children, 20 Shishiotoaza, Yumoto, Akiumachi, Taihakuku, Sendai, 982-0241, Japan.
Shigeo KureDepartment of Pediatrics, Tohoku University School of Medicine, 2-1 Seiryomachi, Aobaku, Sendai, 980-8574, Japan.
Tohoku University · JPTohoku Medical Megabank Organization · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

T2 hyperintensity of brain white matter lesions detected by magnetic resonance imaging (MRI) are characteristic of a heterogeneous group of diseases. Persistent T2 high intensity in combination with T1 iso- or high intensity of white matter in infants indicates a lack of normal myelination, that is, hypomyelination. However, the precise diagnosis of hypomyelinating leukodystrophy based solely on MRI findings can be difficult, especially in the early stage of the disease. We studied 26 patients who were diagnosed with hypomyelinating leukodystrophy according to MRI findings and clinical features to uncover their genetic etiology through chromosomal analyses, targeted gene analyses, and an array comparative genomic hybridization (aCGH) assay. Then, for the 17 patients with unexplained hypomyelination by traditional analyses, whole-exome sequencing (WES) was performed. The presumptive diagnoses were confirmed in 58 % of the enrolled patients (15/26) and involved 9 different genetic backgrounds. The most frequent backgrounds were 18q deletion syndrome and Pelizaeus-Merzbacher disease, with an incidence of 12 % (3/26) for both. The diagnostic rate of chromosomal analyses, targeted gene analyses, and aCGH was 31 % (8/26), and one patient was clinically diagnosed with Cockayne syndrome. Using WES, the following causative genes of hypomyelination were identified in six individuals (35 %, 6/17): TUBB4A, POLR3B, KCNT1, and MCOLN1, and some of those genes were pathogenic for not only hypomyelination but also dysmyelination or delayed myelination. Our findings suggested heterogeneous genetic backgrounds in patients with persistent white matter lesions. These data also indicate that WES may be a rapid and useful tool for identifying the underlying genetic causes of undiagnosed leukodystrophies.

Indexed as

Genetic HeterogeneityAdolescentChildChild, PreschoolChromosome BandingComparative Genomic HybridizationExomeFemaleHereditary Central Nervous System Demyelinating DiseasesHumansInfantMagnetic Resonance ImagingMale

Identifiers

PMID26597493
OpenAlexW2280028651

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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.