Evidence map›Paper›PMID 23208557›Full record

ArticleSensors (Basel, Switzerland)2012

Development of a novel, fully-automated genotyping system: principle and applications.

Shun-Ichi Suzuki, Mariko Komori, Mitsuharu Hirai, Norio Ureshino, Shinya Kimura

Open access · goldAbstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2012. 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
1.5field-weighted citation impact, top 16% 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

9 citing papers in PubMed, 25 citations in OpenAlex.

  1. Trial
  2. Article
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  4. Cancers · 2022
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  6. Review
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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

5 authors at 2 institutions in 1 country.

Shun-Ichi SuzukiARKRAY Inc., Kyoto 602-0008, Japan. suzukishu@arkray.co.jp
Mariko Komori
Mitsuharu Hirai
Norio Ureshino
Shinya Kimura
Arkray (Japan) · JPSaga University · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Genetic testing prior to treatment, pharmacogenetic analysis, is key to realizing personalized medicine which is a topic that has attracted much attention recently. Through the optimization of therapy selection and dosage, a reduction in side effects is expected. Genetic testing has been conducted as a type of pharmacogenetic analysis in recent years, but it faces challenges in terms of cost effectiveness and its complicated procedures. Here we report on the development of a novel platform for genetic testing, the i-densy™, with the use of quenching probe system (QP-system) as principle of mutant detection. The i-densy™ automatically performs pre-treatment, PCR and detection to provide the test result from whole blood and extracted DNA within approximately 90 and 60 min, respectively. Integration of all steps into a single platform greatly reduces test time and complicated procedures. An even higher-precision genetic analysis has been achieved through the development of novel and highly-specific detection methods. The applications of items measured using the i-densy™ are diverse, from single nucleotide polymorphism (SNP), such as CYP2C19 and UGT1A1, to somatic mutations associated with cancer, such as EGFR, KRAS and JAK2. The i-densy™ is a useful tool for optimization of anticancer drug therapy and can contribute to personalized medicine.

Indexed as

Genotyping TechniquesAryl Hydrocarbon HydroxylasesBiosensing TechniquesCytochrome P-450 CYP2C19DNAGenetic TestingGlucuronosyltransferaseHumansPharmacogeneticsPolymorphism, Single NucleotideUGT1A1 EnzymeAryl Hydrocarbon HydroxylasesCYP2C19 protein, humanCytochrome P-450 CYP2C19DNAGlucuronosyltransferaseUGT1A1 Enzyme

Identifiers

PMID23208557
PMCPMC3571800
OpenAlexW2082975488

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

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.