Evidence map›Paper›PMID 42050991›Full record

ArticleClinical pharmacology and therapeutics2026

Frequency of Key Pharmacogenes CYP2C9, CYP2C19, CYP2D6, and SLCO1B1 in the Yogyakarta Population: Implications for Precision Prescribing in Indonesia.

Dwi Aris Agung Nugrahaningsih, Shaula Chintyasari, Rahmi Ayu Wijayaningsih, Mustofa, Woro Rukmi Pratiwi, Dyah Samti Mayasari

Abstract read
In one paragraph

Article in Clinical pharmacology and therapeutics, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

6 authors.

Dwi Aris Agung NugrahaningsihDepartment of Pharmacology and Therapy, Faculty of Medicine, Public Health, and Nursing, Universitas Gadjah Mada, Yogyakarta, Indonesia.ORCID https://orcid.org/0000-0002-1616-3053
Shaula ChintyasariIntegrated Research Center, Faculty of Medicine, Public Health, and Nursing, Universitas Gadjah Mada, Yogyakarta, Indonesia.
Rahmi Ayu WijayaningsihIntegrated Research Center, Faculty of Medicine, Public Health, and Nursing, Universitas Gadjah Mada, Yogyakarta, Indonesia.
MustofaDepartment of Pharmacology and Therapy, Faculty of Medicine, Public Health, and Nursing, Universitas Gadjah Mada, Yogyakarta, Indonesia.
Woro Rukmi PratiwiDepartment of Pharmacology and Therapy, Faculty of Medicine, Public Health, and Nursing, Universitas Gadjah Mada, Yogyakarta, Indonesia.
Dyah Samti MayasariDepartment of Cardiology and Vascular Medicine, Faculty of Medicine, Public Health, and Nursing, Universitas Gadjah Mada, Yogyakarta, Indonesia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Genetic variations in CYP2C9, CYP2C19, CYP2D6, and SLCO1B1 significantly influence drug metabolism and transport, impacting therapeutic response and adverse event risk. While pharmacogenomic guidelines advocate for genotype-guided therapy, no population-specific frequency data exist for these pharmacogenes in Yogyakarta, Indonesia-a region where medication use and polypharmacy are common. This study aims to determine the allele and genotype frequencies of CYP2C9, CYP2C19, CYP2D6, and SLCO1B1 in the Yogyakarta, Indonesia population to inform regionally appropriate prescribing practices. Genotyping was performed using probe-specific real-time PCR (RT-PCR) platforms. The panel targeted clinically relevant variants across CYP2C9, CYP2C19, CYP2D6, and SLCO1B1, integrating SNP and copy number variant analysis where applicable. High frequencies of CYP2C19 *2/*3 and CYP2D6*10 alleles were observed, consistent with Southeast Asian profiles. SLCO1B1 reduced-function variants were prevalent, suggesting elevated risk for statin-induced myopathy. CYP2C9*3 allele was also detected, warranting caution in warfarin and NSAID prescribing. The observed genotype distributions highlight the need for region-specific pharmacogenomic strategies in Indonesia. This foundational dataset supports the development of precision prescribing protocols and reinforces the importance of integrating genotyping into clinical practice to improve therapeutic safety and effectiveness.

Identifiers

PMID42050991
PMCPMC13339334

What OpenQuestion holds

Textmetadata
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 OpenQuestion graph.