Evidence map›Paper›PMID 26920127›Full record

ArticleClinical and experimental nephrology2017

Comprehensive genetic testing approach for major inherited kidney diseases, using next-generation sequencing with a custom panel.

Takayasu Mori, Kazuyoshi Hosomichi, Motoko Chiga, Shintaro Mandai, Hirofumi Nakaoka, Eisei Sohara, Tomokazu Okado, Tatemitsu Rai, Sei Sasaki, Ituro Inoue and 1 more

Abstract readValidation Study
PubMed Publisher
In one paragraph

Article in Clinical and experimental nephrology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 46 papers.

0numbers the graph read from it
0cells of the map it votes in
46citing papers in PubMed
3.0field-weighted citation impact, top 9% 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

46 citing papers in PubMed, 68 citations in OpenAlex.

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  14. medRxiv : the preprint server for health sciences · 2024
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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

11 authors at 3 institutions in 1 country.

Takayasu MoriDepartment of Nephrology, Graduate School of Medical and Dental Sciences, Tokyo Medical and Dental University, 1-5-45 Yushima, Bunkyo, Tokyo, 113-8519, Japan. tmori.kid@tmd.ac.jp.
Kazuyoshi HosomichiDepartment of Bioinformatics and Genomics, Kanazawa University, Ishikawa, Japan.
Motoko ChigaDepartment of Nephrology, Graduate School of Medical and Dental Sciences, Tokyo Medical and Dental University, 1-5-45 Yushima, Bunkyo, Tokyo, 113-8519, Japan.
Shintaro MandaiDepartment of Nephrology, Graduate School of Medical and Dental Sciences, Tokyo Medical and Dental University, 1-5-45 Yushima, Bunkyo, Tokyo, 113-8519, Japan.
Hirofumi NakaokaDivision of Human Genetics, National Institute of Genetics, Shizuoka, Japan.
Eisei SoharaDepartment of Nephrology, Graduate School of Medical and Dental Sciences, Tokyo Medical and Dental University, 1-5-45 Yushima, Bunkyo, Tokyo, 113-8519, Japan.
Tomokazu OkadoDepartment of Nephrology, Graduate School of Medical and Dental Sciences, Tokyo Medical and Dental University, 1-5-45 Yushima, Bunkyo, Tokyo, 113-8519, Japan.
Tatemitsu RaiDepartment of Nephrology, Graduate School of Medical and Dental Sciences, Tokyo Medical and Dental University, 1-5-45 Yushima, Bunkyo, Tokyo, 113-8519, Japan.
Sei SasakiDepartment of Nephrology, Graduate School of Medical and Dental Sciences, Tokyo Medical and Dental University, 1-5-45 Yushima, Bunkyo, Tokyo, 113-8519, Japan.
Ituro InoueDivision of Human Genetics, National Institute of Genetics, Shizuoka, Japan.
Shinichi UchidaDepartment of Nephrology, Graduate School of Medical and Dental Sciences, Tokyo Medical and Dental University, 1-5-45 Yushima, Bunkyo, Tokyo, 113-8519, Japan.
Tokyo Medical and Dental University · JPNational Institute of Genetics · JPKanazawa University · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundGene identification of hereditary kidney diseases by DNA sequencing is important for precise diagnosis, treatment, and genetic consultations. However, the conventional Sanger sequencing is now practically powerless in the face of ever increasing numbers of reported causative genes of various hereditary diseases. The advent of next-generation sequencing technology has enabled large-scale, genome-wide, simultaneous sequence analyses of multiple candidate genes.

methodsWe designed and verified a comprehensive diagnosis panel for approximately 100 major inherited kidney diseases, including 127 known genes. The panel was named Simple, sPEedy and Efficient Diagnosis of Inherited KIdney Diseases (SPEEDI-KID). We applied the panel to 73 individuals, clinically diagnosed with an inherited kidney disease, from 56 families.

resultsThe panel efficiently covered the candidate genes and allowed a prompt and accurate genetic diagnosis. Moreover, 18 unreported mutations suspected as the disease causes were detected. All these mutations were validated by Sanger sequencing, with 100 % concordance.

conclusionIn conclusion, we developed a powerful diagnostic method, focusing on inherited kidney diseases, using a custom panel, SPEEDI-KID, allowing a fast, easy, and comprehensive diagnosis regardless of the disease type.

Indexed as

DNA Mutational AnalysisGene Expression ProfilingHigh-Throughput Nucleotide SequencingMutationAdolescentAdultAgedChildChild, PreschoolFemaleGenetic Association StudiesGenetic MarkersGenetic Predisposition to DiseaseGenetic TestingHeredityHumansGenetic MarkersComprehensive diagnosisCustom panelInherited kidney diseasesNext-generation sequencingSPEEDI-KID

Identifiers

PMID26920127
OpenAlexW2288551216

What OpenQuestion holds

Textmetadata
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Registered trials

None linked

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.