» Articles » PMID: 24798721

Pharmacogenetic Landscape of Clopidogrel in North Indians Suggest Distinct Interpopulation Differences in Allele Frequencies

Overview
Specialties Genetics
Pharmacology
Date 2014 May 7
PMID 24798721
Citations 9
Authors
Affiliations
Soon will be listed here.
Abstract

Aim: Clopidogrel, a widely used antiplatelet drug, exhibits high interindividual variability; more than 80% of which could be explained by genetic polymorphisms. We built an allele frequency map of variants affecting clopidogrel response in north Indians.

Materials & Methods: We mined a cross-sectional population-scale genome-wide dataset of 2128 Indo-Europeans residing in north India for presence of variants associated with pharmacogenetics of clopidogrel.

Results: Our analysis reveals significant differences in population-scale allele frequencies between Indians and the global population. Indians had a higher allele frequency for variants in the CYP2C9*2, CYP2C9*3 and P2RY1 genes whereas lower frequency for the ABCB1, CYP1A2, CYP2C19*2C, CYP3A5 and PON1 genes compared with the global population. Furthermore, from our study we proposed a model to explain the higher prevalence of clopidogrel metabolizers in north Indians.

Conclusion: This is the largest population-scale genetic epidemiology study that provides a high-resolution map of variants associated with clopidogrel response that could be potentially valuable to clinicians to rationally plan appropriate dosage for therapy in resource poor conditions based on population level allele frequencies.

Citing Articles

Demographic diversity in platelet function and response to antiplatelet therapy.

Jain K, Tyagi T, Gu S, Faustino E, Hwa J Trends Pharmacol Sci. 2024; 46(1):78-93.

PMID: 39672782 PMC: 11710996. DOI: 10.1016/j.tips.2024.11.005.


Engineering CRISPR/Cas9 therapeutics for cancer precision medicine.

Sharma A, Giri A Front Genet. 2024; 15:1309175.

PMID: 38725484 PMC: 11079134. DOI: 10.3389/fgene.2024.1309175.


Genetic diversity of variants involved in drug response among Tunisian and Italian populations toward personalized medicine.

Jmel H, Sarno S, Giuliani C, Boukhalfa W, Abdelhak S, Luiselli D Sci Rep. 2024; 14(1):5842.

PMID: 38462643 PMC: 10925599. DOI: 10.1038/s41598-024-55239-7.


Pharmacogenomic landscape of Indian population using whole genomes.

Sahana S, Bhoyar R, Sivadas A, Jain A, Imran M, Rophina M Clin Transl Sci. 2022; 15(4):866-877.

PMID: 35338580 PMC: 9010271. DOI: 10.1111/cts.13153.


Integrating pharmacogenetic testing into primary care.

Haga S Expert Rev Precis Med Drug Dev. 2019; 2(6):327-336.

PMID: 31853504 PMC: 6919655. DOI: 10.1080/23808993.2017.1398046.