Evidence map›Paper›PMID 41935317›Full record

ReviewHuman genomics2026

Comprehensive overview of the global pharmacogenetic and functional variability in NUDT15.

Yitian Zhou, Lukas M Lauschke, Volker M Lauschke

Abstract readReview
In one paragraph

Review in Human genomics, 2026. 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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0citing papers in PubMed
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1 · What the graph read from it

What it found

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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

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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

3 authors.

Yitian ZhouDepartment of Physiology and Pharmacology and Center for Molecular Medicine, Karolinska Institutet and University Hospital, Stockholm, Sweden.
Lukas M LauschkeDepartment of Physiology and Pharmacology and Center for Molecular Medicine, Karolinska Institutet and University Hospital, Stockholm, Sweden.
Volker M LauschkeDepartment of Physiology and Pharmacology and Center for Molecular Medicine, Karolinska Institutet and University Hospital, Stockholm, Sweden. volker.lauschke@ki.se.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Thiopurine medications are widely used for the treatment of acute lymphoblastic leukemia and inflammatory bowel disease. However, thiopurine-induced hemotoxicity occurs in up to 30% of patients, which causes substantial morbidity and limits therapeutic success. These adverse effects are associated with genetic variation in TPMT and NUDT15, which encode key enzymes involved in thiopurine metabolism. While the global distribution of TPMT variability has been extensively studied, less is known about the ethnogeographic variability of NUDT15, and no meta-analysis of available population frequencies has been reported. In this study, we aggregated genetic data from 150 studies and repositories comprising genotypes from a total of 1,401,592 individuals across 55 countries. We further synthesize the available clinical evidence for functional effects of NUDT15*5 and NUDT15*6, which are currently considered as variants with indeterminate functional effects. This synthesis indicates that both alleles significantly increase thiopurine adverse event risk. We aggregate the genetic information to spectra of functional variability to generate the first global maps of NUDT15 metabolizer phenotypes. We observe a graded distribution of NUDT15 deficiency, peaking in East Asia (46% of all individuals exhibit reduced NUDT15 activity) and declining across Central Asia (13.6%), Middle Eastern populations (3.8%) and Europe (2.1%). NUDT15 deficiency is furthermore prevalent on the Western coast of South and Central America but absent in Africa. Overall, our results provide a valuable resource for population-specific NUDT15 allele and metabolizer phenotype distributions, which can guide thiopurine risk assessment on a global scale.

Indexed as

Nudix HydrolasesPrecursor Cell Lymphoblastic Leukemia-LymphomaPyrophosphatasesAllelesGene FrequencyGenetic VariationGenotypeHumansMethyltransferasesPharmacogeneticsPhenotypeMethyltransferasesNudix HydrolasesNUDT15 protein, humanPyrophosphatasesTPMT protein, humanAllele frequencyMetabolizer phenotypePopulation pharmacogenomicsPrecision medicineThiopurine

Identifiers

PMID41935317
PMCPMC13069803

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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.