Evidence map›Paper›PMID 38524932›Full record

ArticleDiabetology international2024

Identification of causative gene variants for patients with known monogenic diabetes using a targeted next-generation sequencing panel in a single-center study.

Kaoru Takase, Shinji Susa, Hidenori Sato, Yurika Hada, Kyoko Nagaoka, Noe Takakubo, Shigeru Karasawa, Wataru Kameda, Chikahiko Numakura, Kenichi Ishizawa

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PubMed Full text at PMC Publisher
In one paragraph

Article in Diabetology international, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.3field-weighted citation impact, top 36% 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

1 citing paper in PubMed, 1 citations in OpenAlex.

  1. 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

10 authors at 2 institutions in 1 country.

Kaoru TakaseDepartment of Neurology, Hematology, Metabolism, Endocrinology and Diabetology, Faculty of Medicine, Yamagata University, 2-2-2 Iida-nishi, Yamagata, 990-9585 Japan.ORCID 0000-0001-5660-379X
Shinji SusaDepartment of Neurology, Hematology, Metabolism, Endocrinology and Diabetology, Faculty of Medicine, Yamagata University, 2-2-2 Iida-nishi, Yamagata, 990-9585 Japan.
Hidenori SatoGenomic Information Analysis Unit, Department of Genomic Cohort Research, Faculty of Medicine, Yamagata University, 2-2-2 Iida-nishi, Yamagata, 990-9585 Japan.
Yurika HadaDepartment of Neurology, Hematology, Metabolism, Endocrinology and Diabetology, Faculty of Medicine, Yamagata University, 2-2-2 Iida-nishi, Yamagata, 990-9585 Japan.
Kyoko NagaokaDepartment of Neurology, Hematology, Metabolism, Endocrinology and Diabetology, Faculty of Medicine, Yamagata University, 2-2-2 Iida-nishi, Yamagata, 990-9585 Japan.
Noe TakakuboDepartment of Neurology, Hematology, Metabolism, Endocrinology and Diabetology, Faculty of Medicine, Yamagata University, 2-2-2 Iida-nishi, Yamagata, 990-9585 Japan.
Shigeru KarasawaDepartment of Neurology, Hematology, Metabolism, Endocrinology and Diabetology, Faculty of Medicine, Yamagata University, 2-2-2 Iida-nishi, Yamagata, 990-9585 Japan.
Wataru KamedaDepartment of Neurology, Hematology, Metabolism, Endocrinology and Diabetology, Faculty of Medicine, Yamagata University, 2-2-2 Iida-nishi, Yamagata, 990-9585 Japan.
Chikahiko NumakuraDepartment of Pediatrics and Clinical Genomics, Faculty of Medicine, Saitama Medical University, 38 Morohongo, Moroyama, Saitama 350-0495 Japan.
Kenichi IshizawaDepartment of Neurology, Hematology, Metabolism, Endocrinology and Diabetology, Faculty of Medicine, Yamagata University, 2-2-2 Iida-nishi, Yamagata, 990-9585 Japan.
Yamagata University · JPSaitama Medical University Hospital · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Aims: We aimed to verify the usefulness of targeted next-generation sequencing (NGS) technology for diagnosing monogenic diabetes in a single center. Methods: We designed an amplicon-based NGS panel targeting 34 genes associated with known monogenic diabetes and performed resequencing in 56 patients with autoantibody-negative diabetes mellitus diagnosed at < 50 years who had not been highly obese. By bioinformatic analysis, we filtered significant variants based on allele frequency (< 0.005 in East Asians) and functional prediction. We estimated the pathogenicity of each variant upon considering the family history. Results: Overall, 16 candidate causative variants were identified in 16 patients. Among them, two previously known heterozygous nonsynonymous single-nucleotide variants associated with monogenic diabetes were confirmed as causative variants: one each in the Conclusion: Targeted NGS panel testing was useful to diagnose various forms of monogenic diabetes in combination with familial analysis, but additional ingenuity would be needed for practice. Supplementary Information: The online version contains supplementary material available at 10.1007/s13340-023-00669-3.

Indexed as

Childhood onset diabetesGenetic analysisMonogenic diabetesNext-generation sequencingTargeted panel sequencing

Identifiers

PMID38524932
PMCPMC10959868
OpenAlexW4388681347

What OpenQuestion holds

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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.