Evidence map›Paper›PMID 39859305›Full record

ArticleInternational journal of molecular sciences2025

Exploring the Pharmacogenomic Map of Croatia: PGx Clustering of 522-Patient Cohort Based on UMAP + HDBSCAN Algorithm.

Petar Brlek, Luka Bulić, Leo Mršić, Mateo Sokač, Eva Brenner, Vid Matišić, Andrea Skelin, Lidija Bach-Rojecky, Dragan Primorac

Abstract read
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Article in International journal of molecular sciences, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
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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

9 authors.

Petar BrlekSt. Catherine Specialty Hospital, 10000 Zagreb, Croatia.ORCID 0000-0001-8022-4095
Luka BulićSt. Catherine Specialty Hospital, 10000 Zagreb, Croatia.ORCID 0000-0001-6522-891X
Leo MršićDepartment of Information Systems and Business Analytics, Algebra University, 10000 Zagreb, Croatia.ORCID 0000-0002-5093-3453
Mateo SokačDepartment of Information Systems and Business Analytics, Algebra University, 10000 Zagreb, Croatia.ORCID 0000-0001-9896-1544
Eva BrennerSt. Catherine Specialty Hospital, 10000 Zagreb, Croatia.
Vid MatišićSt. Catherine Specialty Hospital, 10000 Zagreb, Croatia.ORCID 0000-0003-4536-285X
Andrea SkelinSt. Catherine Specialty Hospital, 10000 Zagreb, Croatia.
Lidija Bach-RojeckyFaculty of Pharmacy and Biochemistry, University of Zagreb, 10000 Zagreb, Croatia.
Dragan PrimoracSt. Catherine Specialty Hospital, 10000 Zagreb, Croatia.ORCID 0000-0001-5565-080X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Pharmacogenetics is a branch of genomic medicine aiming to personalize drug prescription guidelines based on individual genetic information. This concept might lead to a reduction in adverse drug reactions, which place a heavy burden on individual patients' health and the economy of the healthcare system. The aim of this study was to present insights gained from the pharmacogenetics-based clustering of over 500 patients from the Croatian population. The data used in this article were obtained by the pharmacogenetic testing of 522 patients from the Croatian population. The patients were clustered based on the genotypes of 28 pharmacologically relevant genes. Dimensionality reduction was employed using the UMAP algorithm, after which clusters were defined using HDBSCAN. Validation of clustering was performed by decision tree analysis and predictive modeling using the RandomForest, XGBoost, and ExtraTrees classification algorithms. The clustering algorithm defined six clusters of patients based on two UMAP components (silhouette score = 0.782). Decision tree analysis demonstrated

Indexed as

AlgorithmsPharmacogeneticsPharmacogenomic TestingAdultAgedCluster AnalysisCohort StudiesCroatiaCytochrome P-450 CYP2D6Decision TreesFemaleGenotypeHumansLiver-Specific Organic Anion Transporter 1MaleMiddle AgedCytochrome P-450 CYP2D6Liver-Specific Organic Anion Transporter 1SLCO1B1 protein, humanadverse drug reactionsdimensionality reductionhierarchical density-based clusteringpharmacogeneticsunsupervised machine learning

Identifiers

PMID39859305
PMCPMC11765990

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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.