Evidence map›Paper›PMID 41003540›Full record

ArticlePharmacogenomics

CYP2D6 genotyping in a Korean cohort: comparative analysis with Asian, Caucasian, and African populations.

Tak Don Kim, Jung-Sook Kwak, Jae-Gook Shin, Ho-Sook Kim, Young-Ran Yoon, Mi-Ri Gwon, Min-Gul Kim, Seol Ju Moon, SeungHwan Lee, Chan Song Park and 3 more

Abstract readComparative Study
In one paragraph

Article in Pharmacogenomics. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
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

13 authors.

Tak Don KimClinical Trials Centre, Chungnam National University Hospital, Daejeon, Republic of Korea.ORCID 0009-0000-7990-7649
Jung-Sook KwakSPMED Co. Ltd. New Industrial Factory Complex, Busan, Republic of Korea.
Jae-Gook ShinSPMED Co. Ltd. New Industrial Factory Complex, Busan, Republic of Korea.ORCID 0000-0002-5821-850X
Ho-Sook KimDepartment of Pharmacology, Inje University College of Medicine, Busan, Republic of Korea.
Young-Ran YoonClinical Omics Institute, School of Medicine, Kyungpook National University and Department of Clinical Pharmacology and Therapeutics, Kyungpook National University Hospital, Busan, Republic of Korea.ORCID 0000-0003-2166-7579
Mi-Ri GwonClinical Omics Institute, School of Medicine, Kyungpook National University and Department of Clinical Pharmacology and Therapeutics, Kyungpook National University Hospital, Busan, Republic of Korea.ORCID 0000-0001-5703-1615
Min-Gul KimDepartment of Pharmacology, Jeonbuk National University College of Medicine, Jeonju, Republic of Korea.ORCID 0000-0001-7269-9533
Seol Ju MoonDepartment of Pharmacology, Jeonbuk National University College of Medicine, Jeonju, Republic of Korea.ORCID 0000-0001-6484-2029
SeungHwan LeeDepartment of Clinical Pharmacology and Therapeutics, Seoul National University College of Medicine, Seoul, Republic of Korea.ORCID 0000-0002-1713-9194
Chan Song ParkDepartment of Clinical Pharmacology and Therapeutics, Seoul National University College of Medicine, Seoul, Republic of Korea.
Ji Hye SongClinical Trials Centre, Chungnam National University Hospital, Daejeon, Republic of Korea.ORCID 0000-0002-3952-5096
Jang Hee HongClinical Trials Centre, Chungnam National University Hospital, Daejeon, Republic of Korea.ORCID 0000-0002-0623-5455
Jung SunwooClinical Trials Centre, Chungnam National University Hospital, Daejeon, Republic of Korea.ORCID 0000-0001-8801-0323

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundCytochrome P450 2D6 (CYP2D6) is a highly polymorphic enzyme responsible for metabolizing approximately 20% of commonly prescribed drugs. Its genetic variability contributes to interindividual and interethnic differences in drug response. However, large-scale studies on CYP2D6 allele distributions in the Korean population remain limited.

methodsWe conducted CYP2D6 genotyping, including copy number variation analysis, in 3,874 unrelated Korean individuals recruited from five university hospitals. Genotypes were assigned diplotypes and phenotypes using the CPIC activity score system.

resultsThe most frequent allele was the decreased-function *10 (44.9%), followed by normal-function *1 (32.8%) and 2 (11.0%). The gene deletion five accounted for 5.7%. Among phenotypes, 62.2% were extensive metabolizers, 36.1% intermediate metabolizers, 0.9% ultrarapid metabolizers, and 0.4% poor metabolizers. We also identified CYP2D6 × 65, previously unreported in Koreans, and a novel duplication variant, CYP2D6 × 49x2.

conclusionThis is the largest study of CYP2D6 polymorphisms in a Korean population to date. It provides a comprehensive reference for Korean pharmacogenomics and highlights important interethnic differences. The findings support the development of personalized medicine strategies based on population-specific pharmacogenetic data.

Indexed as

Cytochrome P-450 CYP2D6East Asian PeopleAdultAllelesBlack PeopleCohort StudiesDNA Copy Number VariationsFemaleGene FrequencyGenotypeHumansMaleMiddle AgedPhenotypePolymorphism, GeneticRepublic of KoreaCytochrome P-450 CYP2D6adverse drug reactionsAllelecopy number variantCYP2D6CYP450ethnic differenceethnic drug responsegenotype

Identifiers

PMID41003540
PMCPMC12582055

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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.