Evidence map›Paper›PMID 41109911›Full record

ArticleThe pharmacogenomics journal2025

Genome-wide screening of pharmacogenomic biomarkers in jordanian patients with genetic disorders.

Yazun Jarrar, Nancy Hakooz, Dina Abu Hashem, Mariam Homsi, Sufyan Ali Ajeen, Maher Al Ghedan, Rania Almasri, Amnah Bdier, Mohammed Alraqad

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Article in The pharmacogenomics journal, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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9 authors.

Yazun JarrarDepartment of Basic Medical Sciences, Faculty of Medicine, Al-Balqa Applied University, Al-Salt, 19117, Jordan. yazan.jarrar@bau.edu.jo.ORCID 0000-0002-5943-7229
Nancy HakoozSchool of Pharmacy, The University of Jordan, Amman, Jordan. nhakooz@ju.edu.jo.ORCID 0000-0002-7973-0473
Dina Abu HashemINNOVIA Biobank- BioCell for Labs and Medical Research, Amman, 11192, Jordan.ORCID 0009-0007-9796-9801
Mariam HomsiINNOVIA Biobank- BioCell for Labs and Medical Research, Amman, 11192, Jordan.ORCID 0009-0003-1106-718X
Sufyan Ali AjeenINNOVIA Biobank- BioCell for Labs and Medical Research, Amman, 11192, Jordan.ORCID 0000-0001-9396-5714
Maher Al GhedanINNOVIA Biobank- BioCell for Labs and Medical Research, Amman, 11192, Jordan.
Rania AlmasriINNOVIA Biobank- BioCell for Labs and Medical Research, Amman, 11192, Jordan.ORCID 0009-0009-9105-3661
Amnah BdierINNOVIA Biobank- BioCell for Labs and Medical Research, Amman, 11192, Jordan.
Mohammed AlraqadINNOVIA Biobank- BioCell for Labs and Medical Research, Amman, 11192, Jordan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionPharmacogenomics (PGx) testing aims to identify the most appropriate drug and dose for individual patients based on their genetic profiles. In Jordan, patients with genetic disorders often use multiple medications, some of which have clinical guidelines recommending PGx testing.

aimThis study aimed to screen the frequency of clinically relevant PGx biomarkers among a sample of Jordanian patients with genetic disorders.

methodsA total of 76 patients (average age 13 ± 14 years; 71% under 13 years old) attending INNOVIA Biobank in Amman between January 2023 and January 2024 participated. Buccal swabs were collected, and DNA was extracted for whole-genome sequencing using Illumina technology. Variant calling and annotation were performed using DRAGEN, Geneyx, and ANNOVAR tools. A PGx panel based on PharmCAT v2.8.3 and Clinical Pharmacogenetics Implementation Consortium v1.30.0, covering 20 pharmacogenes, was applied.

resultIn Phase I enzymes, CYP2D6*10 (13.2%) and CYP2C19*1/*17 (18.4%) were most common, while CYP2C9 and CYP3A4 variants were less frequent. In Phase II enzymes, UGT1A180 + 2B appeared in 7.9% and multiple DPYD variants found in heterozygous forms 925%). Among toxicity-related markers, G6PD and HLA-B*57:01 were detected in 3.9 and 2.6%, respectively. Transporter gene variants in SLCO1B1 (15%) and ABCB1 (21.1%) were relatively frequent. For pharmacodynamic genes, VKORC1 -1639G > A (52.6%) and CYP4F2 V433M (40.8%) were most prevalent. Accordingly, over half of the patients had genetic variants affecting warfarin response, with additional impacts seen on antidepressants (45%), clopidogrel (35%), and anticancers (30%). Conclusions, this study demonstrates the presence of key PGx biomarkers among Jordanian patients with genetic diseases and supports the integration of PGx testing to optimize the use of drugs like antidepressants, clopidogrel, and warfarin.

Indexed as

Genetic Diseases, InbornPharmacogenomic TestingAdolescentAdultBiomarkersChildFemaleGenome-Wide Association StudyHumansJordanMalePharmacogeneticsWhole Genome SequencingYoung AdultBiomarkers

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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.