Evidence map›Paper›PMID 26770516›Full record

ArticleInternational journal of clinical and experimental medicine2015

Analysis of genetic variations in CYP2C9, CYP2C19, CYP2D6 and CYP3A5 genes using oligonucleotide microarray.

Yuanyuan Dong, Huasheng Xiao, Qi Wang, Chunxiu Zhang, Xiuming Liu, Na Yao, Haihui Sheng, Haiyan Li

Open access · greenAbstract read
In one paragraph

Article in International journal of clinical and experimental medicine, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
1.2field-weighted citation impact, top 18% 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

3 citing papers in PubMed, 9 citations in OpenAlex.

  1. Article
  2. Evaluation ofPharmacogenomics and personalized medicine · 2021
    Article
  3. Review
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

8 authors at 2 institutions in 2 countries.

Yuanyuan DongMinistry of Education Engineering Research Center of Bioreactor and Pharmaceutical Development, Jilin Agricultural University Changchun, China.
Huasheng XiaoNational Engineering Center for Biochip at Shanghai Shanghai, China.
Qi WangNational Engineering Center for Biochip at Shanghai Shanghai, China.
Chunxiu ZhangNational Engineering Center for Biochip at Shanghai Shanghai, China.
Xiuming LiuMinistry of Education Engineering Research Center of Bioreactor and Pharmaceutical Development, Jilin Agricultural University Changchun, China.
Na YaoMinistry of Education Engineering Research Center of Bioreactor and Pharmaceutical Development, Jilin Agricultural University Changchun, China.
Haihui ShengNational Engineering Center for Biochip at Shanghai Shanghai, China.
Haiyan LiMinistry of Education Engineering Research Center of Bioreactor and Pharmaceutical Development, Jilin Agricultural University Changchun, China.
Ministry of Education · KNShanghai Center For Bioinformation Technology · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The cytochrome P450 enzymes play a critical role in the metabolism of many commonly prescribed drugs. Among them, the most important enzymes are highly polymorphic CYP2C9, CYP2C19, CYP2D6 and CYP3A5, which are responsible for about 40% of the metabolism of clinical used drugs. Here we developed a novel CYP450 oligonucleotide microarray that allow for detection of 32 known variations of CYP genes from a single multiplex reaction, including 19 polymorphisms of CYP2D6 gene, 8 polymorphisms of CYP2C9 gene, 4 polymorphisms of CYP2C19 gene and 1 polymorphism of CYP3A5 gene. 229 genomic DNA samples from unrelated Han subjects were analyzed. The microarray results showed to have high call rate and accuracy according to concordance with genotypes identified by independent bidirectional sequencing. Furthermore, we found that the major CYP2C9, CYP2C19, CYP2D6 and CYP3A5 alleles in Chinese Han population were CYP2C9*3 (allelic frequency of 10.7%), CYP2C9*2 (20.31%), CYP2C19*2 (5.68%), CYP2D6*10 (58.52%), CYP2D6*2 (13.76) and CYP3A5*3 (70.69%). With flexible DNA preparation, the microarray can significantly facilitates the process of detecting genetics variations in CYP2C9, CYP2C19, CYP2D6 and CYP3A5 gene and provide safe and effective therapy for individual patients.

Indexed as

CYP2C19CYP2C9CYP2D6CYP3A5microarrayPolymorphism

Identifiers

PMID26770516
PMCPMC4694416
OpenAlexW2409736632

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.