Evidence map›Paper›PMID 41702878›Full record

ArticleThe pharmacogenomics journal2026

A functional ancestry-linked regulatory haplotype influences CYP2D6 expression.

Michael McCoy

Abstract read
In one paragraph

Article in The pharmacogenomics journal, 2026. 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. Review
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

1 author.

Michael McCoyDrug Metabolism and Pharmacokinetics & Modeling, Takeda Development Center Americas, Incorporation, Cambridge, MA, USA. Michael.McCoy1@Takeda.com.ORCID 0000-0002-1981-6398

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Cytochrome P450 (CYP) enzymes metabolize 70-80% of therapeutic agents, yet regulatory variants affecting drug metabolism remain poorly characterized across populations. Although numerous studies have examined coding variants in pharmacogenes, comprehensive analysis of regulatory variation across tissues and ancestries is lacking. Expression quantitative trait loci (eQTLs) for 54 CYP genes were analyzed using GTEx data, identifying CYP2D6 as harboring the most extensive regulatory variation, with 249 variants including two high-effect variants in strong linkage disequilibrium. In silico functional analysis predicts that one variant disrupts thousands of transcription factor binding sites in a region of high chromatin accessibility. Both variants exhibit population stratification, occurring at 45% frequency in East Asian populations versus 2.5% in Europeans, and show strong linkage with the reduced-function CYP2D6*10 allele. These results indicate that ancestry-specific regulatory variants should be incorporated into pharmacogenetic testing strategies.

Indexed as

Cytochrome P-450 CYP2D6HaplotypesAsian PeopleEuropean PeopleHumansLinkage DisequilibriumPolymorphism, Single NucleotideQuantitative Trait LociWhite PeopleCytochrome P-450 CYP2D6

Identifiers

PMID41702878
PMCPMC12913022

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Registered trials

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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.