Evidence map›Paper›PMID 29372472›Full record

ArticleClinical and experimental nephrology2018

Detection of copy number variations by pair analysis using next-generation sequencing data in inherited kidney diseases.

China Nagano, Kandai Nozu, Naoya Morisada, Masahiko Yazawa, Daisuke Ichikawa, Keita Numasawa, Hiroyo Kourakata, Chieko Matsumura, Satoshi Tazoe, Ryojiro Tanaka and 10 more

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Article in Clinical and experimental nephrology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed
3.2field-weighted citation impact, top 8% of its field
1 · What the graph read from it

What it found

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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

18 citing papers in PubMed, 30 citations in OpenAlex.

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  16. INDEX-db: The Indian Exome Reference Database (Phase I).Journal of computational biology : a journal of computational molecular cell biology · 2019
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4 · The record

Corrections and comments

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5 · Who and what money

Authors and funding

20 authors at 7 institutions in 1 country.

China NaganoDepartment of Pediatrics, Kobe University Graduate School of Medicine, 7-5-2 Kusunoki-cho, Chuo-ku, Kobe, Hyogo, 650-0017, Japan.
Kandai NozuDepartment of Pediatrics, Kobe University Graduate School of Medicine, 7-5-2 Kusunoki-cho, Chuo-ku, Kobe, Hyogo, 650-0017, Japan. nozu@med.kobe-u.ac.jp.ORCID http://orcid.org/0000-0002-0290-3137
Naoya MorisadaDepartment of Pediatrics, Kobe University Graduate School of Medicine, 7-5-2 Kusunoki-cho, Chuo-ku, Kobe, Hyogo, 650-0017, Japan.
Masahiko YazawaDepartment of Nephrology and Hypertension, St. Marianna University School of Medicine, 2-16-1 Sugao, Miyamae-ku, Kawasaki-shi, Kanagawa, 216-8511, Japan.
Daisuke IchikawaDepartment of Nephrology and Hypertension, St. Marianna University School of Medicine, 2-16-1 Sugao, Miyamae-ku, Kawasaki-shi, Kanagawa, 216-8511, Japan.
Keita NumasawaDepartment of Pediatrics, Yokohama City University Hospital, 3-9 Fukuura, Kanazawa-ku, Yokohama, Kanagawa, 236-0041, Japan.
Hiroyo KourakataDepartment of Respiratory Medicine, Niigata Saiseikai Sanjo Hospital, 6-18 Oonohata, Sanjyo-shi, Niigata, 955-8511, Japan.
Chieko MatsumuraDepartment of Pediatrics, National Hospital Organization Chiba East Hospital, 673 Nitonacho, Chuo-ku, Chiba, Chiba, 260-8712, Japan.
Satoshi TazoeDepartment of Metabolism, Osaka City General Hospital, 2-13-22 Miyakojimahondori, Miyakojima-ku, Osaka, 534-0021, Japan.
Ryojiro TanakaDepartment of Nephrology, Hyogo Prefectural Kobe Children's Hospital, 1-6-7 Minatojima Minamimachi, Chuo-ku, Kobe, Hyogo, 650-0047, Japan.
Tomohiko YamamuraDepartment of Pediatrics, Kobe University Graduate School of Medicine, 7-5-2 Kusunoki-cho, Chuo-ku, Kobe, Hyogo, 650-0017, Japan.
Shogo MinamikawaDepartment of Pediatrics, Kobe University Graduate School of Medicine, 7-5-2 Kusunoki-cho, Chuo-ku, Kobe, Hyogo, 650-0017, Japan.
Tomoko HorinouchiDepartment of Pediatrics, Kobe University Graduate School of Medicine, 7-5-2 Kusunoki-cho, Chuo-ku, Kobe, Hyogo, 650-0017, Japan.
Keita NakanishiDepartment of Pediatrics, Kobe University Graduate School of Medicine, 7-5-2 Kusunoki-cho, Chuo-ku, Kobe, Hyogo, 650-0017, Japan.
Junya FujimuraDepartment of Pediatrics, Kobe University Graduate School of Medicine, 7-5-2 Kusunoki-cho, Chuo-ku, Kobe, Hyogo, 650-0017, Japan.
Nana SakakibaraDepartment of Pediatrics, Kobe University Graduate School of Medicine, 7-5-2 Kusunoki-cho, Chuo-ku, Kobe, Hyogo, 650-0017, Japan.
Yoshimi NozuDepartment of Pediatrics, Kobe University Graduate School of Medicine, 7-5-2 Kusunoki-cho, Chuo-ku, Kobe, Hyogo, 650-0017, Japan.
Ming Juan YeDepartment of Pediatrics, Kobe University Graduate School of Medicine, 7-5-2 Kusunoki-cho, Chuo-ku, Kobe, Hyogo, 650-0017, Japan.
Hiroshi KaitoDepartment of Pediatrics, Kobe University Graduate School of Medicine, 7-5-2 Kusunoki-cho, Chuo-ku, Kobe, Hyogo, 650-0017, Japan.
Kazumoto IijimaDepartment of Pediatrics, Kobe University Graduate School of Medicine, 7-5-2 Kusunoki-cho, Chuo-ku, Kobe, Hyogo, 650-0017, Japan.
Kobe University · JPSt. Marianna University School of Medicine · JPChiba East Hospital · JPKobe Children's Hospital · JPOsaka City General Hospital · JPSaiseikai Niigata Daini Hospital · JPYokohama City University Hospital · JP

Funding

Japan Agency for Medical Research and Development (JP) 7930006Ministry of Education, Culture, Sports, Science and Technology of Japan 15K09691Ministry of Education, Culture, Sports, Science and Technology of Japan 26293203Ministry of Health, Labour and Welfare (JP) H24-nanchitou (nan)-ippan-04
6 · The paper itself

Abstract

backgroundComprehensive genetic approaches for diagnosing inherited kidney diseases using next-generation sequencing (NGS) have recently been established. However, even with these approaches, we are still failing to detect gene defects in some patients who appear to suffer from genetic diseases. One of the reasons for this is the difficulty of detecting copy number variations (CNVs) using our current approaches. For such cases, we can apply methods of array-based comparative genomic hybridization (aCGH) or multiplex ligation and probe amplification (MLPA); however, these are expensive and laborious and also often fail to identify CNVs. Here, we report seven cases with CNVs in various inherited kidney diseases screened by NGS pair analysis.

methodsTargeted sequencing analysis for causative genes was conducted for cases with suspected inherited kidney diseases, for some of which a definitive genetic diagnosis had not been achieved. We conducted pair analysis using NGS data for those cases. When CNVs were detected by pair analysis, they were confirmed by aCGH and/or MLPA.

resultsIn seven cases, CNVs in various causative genes of inherited kidney diseases were detected by pair analysis. With aCGH and/or MLPA, pathogenic CNV variants were confirmed: COL4A5 or HNF1B in two cases each, and EYA1, CLCNKB, or PAX2 in one each.

conclusionWe presented seven cases with CNVs in various genes that were screened by pair analysis. The NGS-based CNV detection method is useful for comprehensive screening of CNVs, and our results revealed that, for a certain proportion of cases, CNV analysis is necessary for accurate genetic diagnosis.

Indexed as

DNA Copy Number VariationsHigh-Throughput Nucleotide SequencingAdultChild, PreschoolComparative Genomic HybridizationFemaleHumansInfantKidney DiseasesMaleMiddle AgedAlport syndromeBartter syndromeBOR syndromeGitelman syndromeInherited kidney diseaseRenal coloboma syndrome

Identifiers

PMID29372472
OpenAlexW2793578202

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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.