Evidence map›Paper›PMID 37217095›Full record

ArticleIndian heart journal

Substantiation of a clopidogrel metabolism-associated gene (CYP2C19) variation among healthy individuals.

Anshu Kumar Yadav, Aparna Kodakkat Chakkumkollath, Aysha Helna, Siddharth Birla, Rajesh Kumar Thimmulappa, Sunil Kumar Shambu, Prashant Vishwanath, Akila Prashant

Open access · goldAbstract read
In one paragraph

Article in Indian heart journal. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed, 1 pooled it
0.9field-weighted citation impact, top 24% 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, 1 synthesis or guideline pooled it, 4 citations in OpenAlex.

  1. Pooled it
  2. The Diversity ofThe application of clinical genetics · 2024
    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 1 institution in 1 country.

Anshu Kumar YadavCenter of Excellence in Molecular Biology and Regenerative Medicine, Department of Biochemistry, JSS Medical College, JSS Academy of Higher Education & Research, Mysuru, India.
Aparna Kodakkat ChakkumkollathCenter of Excellence in Molecular Biology and Regenerative Medicine, Department of Biochemistry, JSS Medical College, JSS Academy of Higher Education & Research, Mysuru, India.
Aysha HelnaCenter of Excellence in Molecular Biology and Regenerative Medicine, Department of Biochemistry, JSS Medical College, JSS Academy of Higher Education & Research, Mysuru, India.
Siddharth BirlaCenter of Excellence in Molecular Biology and Regenerative Medicine, Department of Biochemistry, JSS Medical College, JSS Academy of Higher Education & Research, Mysuru, India.
Rajesh Kumar ThimmulappaCenter of Excellence in Molecular Biology and Regenerative Medicine, Department of Biochemistry, JSS Medical College, JSS Academy of Higher Education & Research, Mysuru, India.
Sunil Kumar ShambuDepartment of Cardiology, JSS Medical College, JSS Academy of Higher Education & Research, Mysuru, India.
Prashant VishwanathCenter of Excellence in Molecular Biology and Regenerative Medicine, Department of Biochemistry, JSS Medical College, JSS Academy of Higher Education & Research, Mysuru, India.
Akila PrashantCenter of Excellence in Molecular Biology and Regenerative Medicine, Department of Biochemistry, JSS Medical College, JSS Academy of Higher Education & Research, Mysuru, India; Special Interest Group - Human Genomics and Rare Disorders, JSS Academy of Higher Education & Research, Mysuru, India. Electronic address: akilaprashant@jssuni.edu.in.
JSS Academy of Higher Education and Research · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundIt is essential to investigate the prevalence of CYP2C19 alleles that affect drug metabolism. This study measures the allelic and genotypic frequencies of CYP2C19 loss-of-function (LoF) alleles CYP2C19∗2, CYP2C19∗3, and gain-of-function (GoF) alleles CYP2C19∗17 in the general population. METHODOLOGY: The study involved 300 healthy subjects between the ages of 18 and 85 recruited by simple random sampling. Allele-specific touchdown PCR was employed to identify the various alleles. The genotype and allele frequencies were calculated and checked for Hardy-Weinberg equilibrium. The phenotypic prediction of ultra-rapid metabolizer (UM = ∗17/∗17), extensive metabolizer (EM = ∗1/∗17, ∗1/∗1), intermediate metabolizer (IM = ∗1/∗2, ∗1/∗3, ∗2/∗17) and poor metabolizer (PM = ∗2/∗2, ∗2/∗3, ∗3/∗3) was made based on their genotype.

resultsThe allele frequency of CYP2C19∗2, CYP2C19∗3, and CYP2C19∗17 was 0.365, 0.0033, and 0.18, respectively. The IM phenotype predominated with an overall frequency of 46.67%, including 101 subjects with ∗1/∗2, two subjects with ∗1/∗3, and 37 subjects with ∗2/∗17 genotype. This was followed by EM phenotype with an overall frequency of 35%, including 35 subjects with ∗1/∗17 and 70 subjects with ∗1/∗1 genotype. PM phenotype had an overall frequency of 12.67%, including 38 subjects with ∗2/∗2 genotype, and UM phenotype had an overall frequency of 5.67%, including 17 subjects with ∗17/∗17 genotype.

conclusionGiven the high allelic frequency of PM in the study population, a pre-treatment test to identify the individual's genotype may be recommended to decide the dosage, monitor the drug response, and avoid adverse drug reactions.

Indexed as

Aryl Hydrocarbon HydroxylasesAdolescentAdultAgedAged, 80 and overAllelesClopidogrelCytochrome P-450 CYP2C19Gene FrequencyGenotypeHumansMiddle AgedPlatelet Aggregation InhibitorsYoung AdultAryl Hydrocarbon HydroxylasesClopidogrelCYP2C19 protein, humanCytochrome P-450 CYP2C19Platelet Aggregation InhibitorsAdverse drug eventsClopidogrelCYP2C19HumanPharmacogenomics

Identifiers

PMID37217095
PMCPMC10568051
OpenAlexW4377157456

What Socratic holds

Textmetadata
LicenceCC BY-NC-ND
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 Socratic graph.