Evidence map›Paper›PMID 27493482›Full record

ArticleYonago acta medica2016

Clinical Diagnosis of Mendelian Disorders Using a Comprehensive Gene-Targeted Panel Test for Next-Generation Sequencing.

Tetsuya Okazaki, Megumi Murata, Masachika Kai, Kaori Adachi, Naoko Nakagawa, Noriko Kasagi, Wataru Matsumura, Yoshihiro Maegaki, Eiji Nanba

Abstract read
In one paragraph

Article in Yonago acta medica, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 citing papers in PubMed.

  1. Various phenotypes of short stature with heterozygousClinical pediatric endocrinology : case reports and clinical investigations : official journal of the Japanese Society for Pediatric Endocrinology · 2022
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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

9 authors.

Tetsuya OkazakiDivision of Child Neurology, Institute of Neurological Sciences, Tottori University Faculty of Medicine, Yonago 683-8504, Japan; †Division of Clinical Genetics, Tottori University Hospital, Yonago 683-8504, Japan.
Megumi Murata‡Division of Functional Genomics, Research Center for Bioscience and Technology, Tottori University, Yonago 683-8503, Japan.
Masachika Kai§Division of Technical Department, Tottori University, Yonago 683-8503, Japan.
Kaori Adachi‡Division of Functional Genomics, Research Center for Bioscience and Technology, Tottori University, Yonago 683-8503, Japan.
Naoko Nakagawa†Division of Clinical Genetics, Tottori University Hospital, Yonago 683-8504, Japan; ‖Center for Promoting Next-Generation Highly Advanced Medicine, Tottori University Hospital, Yonago 683-8504, Japan.
Noriko Kasagi†Division of Clinical Genetics, Tottori University Hospital, Yonago 683-8504, Japan; ¶Department of Fundamental Nursing, School of Health Science, Tottori University Faculty of Medicine, Yonago 683-8503, Japan.
Wataru MatsumuraDivision of Child Neurology, Institute of Neurological Sciences, Tottori University Faculty of Medicine, Yonago 683-8504, Japan; †Division of Clinical Genetics, Tottori University Hospital, Yonago 683-8504, Japan.
Yoshihiro MaegakiDivision of Child Neurology, Institute of Neurological Sciences, Tottori University Faculty of Medicine, Yonago 683-8504, Japan.
Eiji Nanba†Division of Clinical Genetics, Tottori University Hospital, Yonago 683-8504, Japan; ‡Division of Functional Genomics, Research Center for Bioscience and Technology, Tottori University, Yonago 683-8503, Japan; ‖Center for Promoting Next-Generation Highly Advanced Medicine, Tottori University Hospital, Yonago 683-8504, Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundGenetic diagnoses provide beneficial information to patients and families. However, traditional genetic diagnoses are often difficult even for experienced clinicians and require recognition of characteristic patterns of signs or symptoms to guide targeted genetic testing for the confirmation of diagnoses. Next-generation sequencing (NGS) is a powerful genetic diagnostic tool. However, whole-genome and whole-exome sequencing (WES) are expensive, and the interpretation of results is difficult. Hence, target gene capture sequencing of gene panels has recently been applied to genetic diagnoses. Herein, we demonstrate that targeted sequencing approaches using gene panel testing are highly efficient for the diagnosis of Mendelian disorders.

methodsNGS using TruSight one gene panel was performed in 17 families and 20 patients, and we developed a bioinformatic pipeline at our institution for detecting mutations.

resultsWe detected causative mutations in 6 of 17 (35%) families. In particular, 11 (65%) families had syndromic diagnosis and 6 (35%) had no syndromic diagnosis before NGS testing. The number of positive diagnoses was 5 of 11 (45%) in the syndromic group and were 1 of 6 (17%) among patients of the no syndromic diagnosis group.

conclusionDiagnostic yields in the present study were higher than in previous reports of genetic and chromosomal tests and WES. The present comprehensive gene-targeted panel test is a powerful diagnostic tool for Mendelian disorders.

Indexed as

candidate gene analysesdiagnosis high-throughput DNA sequencing

Identifiers

PMID27493482
PMCPMC4973017

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