Evidence map›Paper›PMID 24381495›Full record

ArticleThe Korean journal of physiology & pharmacology : official journal of the Korean Physiological Society and the Korean Society of Pharmacology2013

Screening of Genetic Polymorphisms of CYP3A4 and CYP3A5 Genes.

Jin Sol Lee, Hyun Sub Cheong, Lyoung Hyo Kim, Ji On Kim, Doo Won Seo, Young Hoon Kim, Myeon Woo Chung, Soon Young Han, Hyoung Doo Shin

Open access · hybridAbstract read
In one paragraph

Article in The Korean journal of physiology & pharmacology : official journal of the Korean Physiological Society and the Korean Society of Pharmacology, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
24citing papers in PubMed, 2 pooled it
4.4field-weighted citation impact, top 7% 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

24 citing papers in PubMed, 2 syntheses or guidelines pooled it, 59 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
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  11. Cannabis Pharmacogenomics: A Path to Personalized Medicine.Current issues in molecular biology · 2023
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  14. Genetic Determinants inJournal of personalized medicine · 2021
    Review
  15. Article
  16. Genotype and Allele Frequency ofTurkish journal of pharmaceutical sciences · 2018
    Article
  17. Article
  18. Article
  19. Article
  20. 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

9 authors at 1 institution in 1 country.

Jin Sol LeeDepartment of Life Science, Sogang University, Seoul 121-742, Korea.
Hyun Sub CheongDepartment of Genetic Epidemiology, SNP Genetics, Inc., Seoul 121-742, Korea.
Lyoung Hyo KimDepartment of Genetic Epidemiology, SNP Genetics, Inc., Seoul 121-742, Korea.
Ji On KimDepartment of Genetic Epidemiology, SNP Genetics, Inc., Seoul 121-742, Korea.
Doo Won SeoClinical Research Division, Toxicological Evaluation and Research Department, National Institute of Food and Drug Safety Evaluation, Osong Health Technology Administration Complex, Osong 363-700, Korea.
Young Hoon KimClinical Research Division, Toxicological Evaluation and Research Department, National Institute of Food and Drug Safety Evaluation, Osong Health Technology Administration Complex, Osong 363-700, Korea.
Myeon Woo ChungClinical Research Division, Toxicological Evaluation and Research Department, National Institute of Food and Drug Safety Evaluation, Osong Health Technology Administration Complex, Osong 363-700, Korea.
Soon Young HanToxicological Evaluation and Research Department, National Institute of Food and Drug Safety Evaluation, Osong Health Technology Administration Complex, Osong 363-700, Korea.
Hyoung Doo ShinDepartment of Life Science, Sogang University, Seoul 121-742, Korea. ; Department of Genetic Epidemiology, SNP Genetics, Inc., Seoul 121-742, Korea.
Sogang University · KR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Given the CYP3A4 and CYP3A5's impact on the efficacy of drugs, the genetic backgrounds of individuals and populations are regarded as an important factor to be considered in the prescription of personalized medicine. However, genetic studies with Korean population are relatively scarce compared to those with other populations. In this study, we aimed to identify CYP3A4/5 polymorphisms and compare the genotype distributions among five ethnicities. To identify CYP3A4/5 SNPs, we first performed direct sequencing with 288 DNA samples which consisted of 96 Koreans, 48 European-Americans, 48 African-Americans, 48 Han Chinese, and 48 Japanese. The direct sequencing identified 15 novel SNPs, as well as 42 known polymorphisms. We defined the genotype distributions, and compared the allele frequencies among five ethnicities. The results showed that minor allele frequencies of Korean population were similar with those of the Japanese and Han Chinese populations, whereas there were distinct differences from European-Americans or African-Americans. Among the pharmacogenetic markers, frequencies of CYP3A4*1B (rs2740574) and CYP3A5*3C (rs776742) in Asian groups were different from those in other populations. In addition, minor allele frequency of CYP3A4*18 (rs28371759) was the highest in Korean population. Additional in silico analysis predicted that two novel non-synonymous SNPs in CYP3A5 (+27256C>T, P389S and +31546T>G, I488S) could alter protein structure. The frequency distributions of the identified polymorphisms in the present study may contribute to the expansion of pharmacogenetic knowledge.

Indexed as

CYP3A4CYP3A5Cytochrome P450PharmacogeneticsSNP

Identifiers

PMID24381495
PMCPMC3874433
OpenAlexW2105802467

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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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.