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HLA pharmacogenetic markers of drug hypersensitivity from the perspective of the populations of the Greater Middle East

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PHARMACOGENOMICS
卷 23, 期 12, 页码 695-708

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FUTURE MEDICINE LTD
DOI: 10.2217/pgs-2022-0078

关键词

adverse drug reactions; drug hypersensitivity; Greater Middle East; HLA pharmacogenomic associations; HLA polymorphism

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This article reviews the known associations between HLA alleles and drug hypersensitivity in North Africa and the Middle East, highlighting the lack of data in the Greater Middle East (GME) region. The authors summarize the significant HLA alleles associated with drug hypersensitivity in different populations and provide prevalence rates in the diverse populations of the GME. Studying pharmacogenomic associations in the ethnic groups of the GME may lead to the discovery of new associations and allow for cost-effectiveness analysis of allele screening before drug use.
Tweetable abstract What is known about HLA alleles and drug hypersensitivity associations in the populations of North Africa and the Middle East and the potentiality of genomic tools and projects to propose possible opportunities. Specific HLA associations with drug hypersensitivity may vary between geographic regions and ethnic groups. There are little to no data related to HLA-drug hypersensitivity on populations who reside in the Greater Middle East (GME), a vast region spanning from Morocco in the west to Pakistan in the east. In this review, the authors intended to summarize the significant HLA alleles associated with hypersensitive drug reactions induced by different drugs, as have been found in different populations, and to summarize the prevalence of these alleles in the specific and diverse populations of the GME. For example, HLA-B*57:01 allele prevalence, associated with abacavir-induced hypersensitivity, ranges from 1% to 3%, and HLA-DPB1*03:01 prevalence, associated with aspirin-induced asthma, ranges from 10% to 14% in the GME population. Studying pharmacogenomic associations in the ethnic groups of the GME may allow the discovery of new associations, confirm ones found with a low evidence rate and enable cost-effectiveness analysis of allele screening before drug use.

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