Evidence map›Paper›PMID 31641873›Full record

ArticleJournal of gastroenterology2020

High-resolution melt analysis enables simple genotyping of complicated polymorphisms of codon 18 rendering the NUDT15 diplotype.

Yoichi Kakuta, Yasuhiro Izumiyama, Daisuke Okamoto, Takeru Nakano, Ryo Ichikawa, Takeo Naito, Rintaro Moroi, Masatake Kuroha, Yoshitake Kanazawa, Tomoya Kimura and 10 more

Erratum issuedAbstract read
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In one paragraph

Article in Journal of gastroenterology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
2.0field-weighted citation impact, top 14% 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

8 citing papers in PubMed, 12 citations in OpenAlex.

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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

20 authors at 4 institutions in 1 country.

Yoichi KakutaDivision of Gastroenterology, Tohoku University Graduate School of Medicine, 1-1 Seiryo, Aoba, Sendai, 980-8574, Japan. ykakuta@med.tohoku.ac.jp.ORCID http://orcid.org/0000-0002-7042-009X
Yasuhiro IzumiyamaDivision of Gastroenterology, Tohoku University Graduate School of Medicine, 1-1 Seiryo, Aoba, Sendai, 980-8574, Japan.
Daisuke OkamotoDivision of Gastroenterology, Tohoku University Graduate School of Medicine, 1-1 Seiryo, Aoba, Sendai, 980-8574, Japan.
Takeru NakanoDivision of Gastroenterology, Tohoku University Graduate School of Medicine, 1-1 Seiryo, Aoba, Sendai, 980-8574, Japan.
Ryo IchikawaDivision of Gastroenterology, Tohoku University Graduate School of Medicine, 1-1 Seiryo, Aoba, Sendai, 980-8574, Japan.
Takeo NaitoDivision of Gastroenterology, Tohoku University Graduate School of Medicine, 1-1 Seiryo, Aoba, Sendai, 980-8574, Japan.
Rintaro MoroiDivision of Gastroenterology, Tohoku University Graduate School of Medicine, 1-1 Seiryo, Aoba, Sendai, 980-8574, Japan.
Masatake KurohaDivision of Gastroenterology, Tohoku University Graduate School of Medicine, 1-1 Seiryo, Aoba, Sendai, 980-8574, Japan.
Yoshitake KanazawaDivision of Gastroenterology, Tohoku University Graduate School of Medicine, 1-1 Seiryo, Aoba, Sendai, 980-8574, Japan.
Tomoya KimuraDivision of Gastroenterology, Tohoku University Graduate School of Medicine, 1-1 Seiryo, Aoba, Sendai, 980-8574, Japan.
Hisashi ShigaDivision of Gastroenterology, Tohoku University Graduate School of Medicine, 1-1 Seiryo, Aoba, Sendai, 980-8574, Japan.
Hisaaki KudoDepartment of Biobank Life Science, Tohoku Medical Megabank Organization, Tohoku University, Sendai, Japan.
Naoko MinegishiDepartment of Biobank Life Science, Tohoku Medical Megabank Organization, Tohoku University, Sendai, Japan.
Yosuke KawaiGenome Medical Science Project, National Center for Global Health and Medicine, Tokyo, Japan.
Katsushi TokunagaGenome Medical Science Project, National Center for Global Health and Medicine, Tokyo, Japan.
Masao NagasakiHuman Biosciences Unit for the Top Global Course Center for the Promotion of Interdisciplinary Education and Research (CPIER), Kyoto University, Kyoto, Japan.
Yoshitaka KinouchiInstitute for Excellence in Higher Education, Student Health Care Center, Tohoku University, Sendai, Japan.
Yasuo SuzukiInflammatory Bowel Disease Center, Toho University Sakura Medical Center, Sakura, Japan.
Atsushi MasasmuneDivision of Gastroenterology, Tohoku University Graduate School of Medicine, 1-1 Seiryo, Aoba, Sendai, 980-8574, Japan.
MENDEL study group
Tohoku University · JPToho University · JPKyoto University · JPNational Center for Global Health and Medicine · JP

Funding

Japan Agency for Medical Research and Development 16km0405205h0101Japan Agency for Medical Research and Development 18kk0305002Japan Agency for Medical Research and Development 19ek0410056
6 · The paper itself

Abstract

backgroundThe genetic variants of NUDT15 have been verified to induce adverse events (AEs) of thiopurines. Codon 139 variants are frequently observed in Asians, while multiple variants are seen in codon 18 which also cause AEs including the European ancestry. The purpose of this study is to establish a technique capable of the simple genotyping of NUDT15 codon 18 and to evaluate its efficacy.

methodsA high-resolution melt (HRM) technique is performed to simply determine genotypes. The accuracy of HRM analysis was evaluated with DNAs from 1245 Japanese patients with inflammatory bowel diseases. Subsequently, another group of 572 patients was analyzed to verify the method. The diplotypes and the frequency of their AEs were estimated on the basis of codon 18 and 139 genotypes.

resultsThe HRM analysis enabled the correct identification of the three main genotypes, ref/ref, ref/ins, and ref/V18I, in 1236 of 1241 cases. All rare genotypes including ref/del were identified as the impossible-to-determine group, the proper diagnosis rate was 99.6%. In the verification test using other samples, the diagnosis rate was 99.7%. By estimating diplotypes using both codon 18 and 139 genotypes, 2.74% and 2.13% of Japanese patients with Arg/Arg and Arg/Cys of codon 139 have a lower enzymatic activity of NUDT15 and a higher risk for adverse responses than those estimated by codon 139 genotypes alone.

conclusionsOur study showed that HRM method enables simple genotyping of complicated codon 18 variants essential to haplotype estimation of the NUDT15.

Indexed as

Pharmacogenomic VariantsFemaleGenetic MarkersGenotyping TechniquesHumansImmunosuppressive AgentsInflammatory Bowel DiseasesMaleMercaptopurineNudix HydrolasesPyrophosphatasesGenetic MarkersImmunosuppressive AgentsMercaptopurineNudix HydrolasesNUDT15 protein, humanPyrophosphatasesInflammatory bowel diseaseNUDT15PharmacogeneticsThiopurines

Identifiers

PMID31641873
OpenAlexW2981346121

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.