Evidence map›Paper›PMID 24944790›Full record

ArticleBiomedical reports2014

Screening for 392 polymorphisms in 141 pharmacogenes.

Jason Yongha Kim, Hyun Sub Cheong, Tae-Joon Park, Hee Jung Shin, Doo Won Seo, Han Sung Na, Myeon Woo Chung, Hyoung Doo Shin

Abstract read
In one paragraph

Article in Biomedical reports, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
–field-weighted citation impact
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

4 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
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.

Jason Yongha KimDepartment of Life Science, Sogang University, SNP Genetics, Inc., Seoul 121-742, Republic of Korea.
Hyun Sub CheongDepartment of Genetic Epidemiology, SNP Genetics, Inc., Seoul 121-742, Republic of Korea.
Tae-Joon ParkDepartment of Life Science, Sogang University, SNP Genetics, Inc., Seoul 121-742, Republic of Korea.
Hee Jung ShinDivision of Clinical Reaserch, Department of Toxicological Evaluation and Research, National Institute of Food and Drug Safety Evaluation, Osong Health Technology Administration Complex, Osong, Chungcheongbuk 363-700, Republic of Korea.
Doo Won SeoDivision of Clinical Reaserch, Department of Toxicological Evaluation and Research, National Institute of Food and Drug Safety Evaluation, Osong Health Technology Administration Complex, Osong, Chungcheongbuk 363-700, Republic of Korea.
Han Sung NaDivision of Clinical Reaserch, Department of Toxicological Evaluation and Research, National Institute of Food and Drug Safety Evaluation, Osong Health Technology Administration Complex, Osong, Chungcheongbuk 363-700, Republic of Korea.
Myeon Woo ChungDivision of Clinical Reaserch, Department of Toxicological Evaluation and Research, National Institute of Food and Drug Safety Evaluation, Osong Health Technology Administration Complex, Osong, Chungcheongbuk 363-700, Republic of Korea.
Hyoung Doo ShinDepartment of Life Science, Sogang University, SNP Genetics, Inc., Seoul 121-742, Republic of Korea ; Department of Genetic Epidemiology, SNP Genetics, Inc., Seoul 121-742, Republic of Korea.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Pharmacogenomics is the study of the association between inter-individual genetic differences and drug responses. Researches in pharmacogenomics have been performed in compliance with the use of several genotyping technologies. In this study, a total of 392 single-nucleotide polymorphisms (SNPs) located in 141 pharmacogenes, including 21 phase I, 13 phase II, 18 transporter and 5 modifier genes, were selected and genotyped in 150 subjects using the GoldenGate assay or the SNaPshot technique. These variants were in Hardy-Weinberg equilibrium (HWE) (P>0.05), except for 22 SNPs. Genotyping of the 392 SNPs revealed that the minor allele frequencies of 47 SNPs were <0.05, 105 SNPs were monomorphic and 22 variants were not in HWE. Also, based on previous studies, we predicted the association between the polymorphisms of certain pharmacogenes, such as cytochrome P450 2D6, cytochrome P450 2C9, vitamin K epoxide reductase complex, subunit 1, cytochrome P450 2C19, human leukocyte antigen, class I, B and thiopurine S-methyltransferase, and drug efficacy. In conclusion, our study demonstrated the allele distribution of SNPs in 141 pharmacogenes as determined by high-throughput screening. Our results may be helpful in developing personalized medicines by using pharmacogene polymorphisms.

Indexed as

gene screeningpharmacogenesingle-nucleotide polymorphism

Identifiers

PMID24944790
PMCPMC4051470

What OpenQuestion holds

Textmetadata
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.