ReviewEpilepsia2026
Pharmacogenomics in epilepsy care across Asia.
Review in Epilepsia, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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.
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.
Who cites it
0 citing papers in PubMed.
No citing paper in PubMed yet.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The selection of anti-seizure medications (ASMs) in epilepsy remains largely empirical, leading to varied efficacy and a significant burden of adverse drug reactions (ADRs). A pharmacogenomic-based strategy can be used to personalize ASM selection, as it incorporates genetic information into clinical decision-making. While more than 50 gene-drug associations have been reported in epilepsy, few pairs have strong, replicated evidence with clinical applicability. In Asia, key variants include HLA-B15:02 and HLA-A31:01, which are associated with severe cutaneous adverse reactions (SCARs), and CYP2C9 and CYP2C19 variants, which affect drug metabolism. These pairs have influenced regional regulatory policies, with HLA-B15:02 screening widely implemented prior to carbamazepine use. However, routine practice is still heterogenous due to variability in allele frequencies, healthcare infrastructure, and policy frameworks across countries. We propose evidence-based criteria for clinical implementation of pharmacogenomic markers, emphasizing replicated associations, clinical significance, actionable alternatives, and cost-effectiveness. Currently, HLA-B15:02 possesses the strongest evidence for mandatory screening, while others remain advisory due to limited outcome data. Real-world challenges include incomplete risk prediction from single-allele testing, overlapping drug hypersensitivity profiles, and workflow limitations, particularly in urgent care settings. In lower resource regions, test availability and access are additional hurdles to implementation. Future research should include multiethnic datasets, improved health-economic evaluations, and integration of genomic data into clinical decision-support systems. Advancing polygenic and multi-omics approaches could improve prediction of treatment response and toxicity.
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Registered trials
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.