Zmienność w przewidywaniu ryzyka epilepsji na podstawie wielu genów w populacji tajwańskiej i grupach klinicznych

PubMedEpilepsia

Variability in epilepsy polygenic risk prediction across Taiwanese population and clinical cohorts

W skrócie

Badacze sprawdzili, czy można przewidywać ryzyko epilepsji, analizując wiele zmian genetycznych u ponad 7000 pacjentów z epilepsją na Tajwanie. Okazało się, że ta metoda działa lepiej u pacjentów badanych w klinikach niż w ogólnej populacji, a jej skuteczność zależy od typu epilepsji i wieku zachorowania. Wyniki pokazują, że dokładne opisanie objawów choroby i bardziej różnorodne badania genetyczne są ważne, aby ta metoda mogła być używana w praktyce klinicznej.

Oryginalny abstract (angielski)

OBJECTIVE: This study was undertaken to evaluate the predictive, stratification, and prognostic utility of polygenic risk scores (PRSs) for epilepsy in three Taiwanese cohorts comprising more than 7000 cases among more than 600 000 individuals, thereby addressing the limited evidence on PRS performance in non-European populations. METHODS: Leveraging results from the latest multiancestry genome-wide association study (GWAS), we calculated PRS for all epilepsy, genetic generalized epilepsy (GGE), and focal epilepsy (FE) in two population cohorts-Taiwan Biobank-National Health Insurance Research Database (TWB-NHIRD; N ~ 105 K) and Taiwan Precision Medicine Initiative (TPMI; N ~ 500 K), with cases defined by International Classification of Diseases codes and medications-and a clinically ascertained sample (Taiwanese subset of the Epi25 consortium [Epi25-TWN]; N = 1140). PRS performance was assessed through lifetime risk models, age-at-onset stratifications, and phenome-wide association studies (PheWASs). RESULTS: PRS performance varied substantially by cohort, epilepsy type, and age at onset. GGE PRS had the strongest effect on GGE in Epi25-TWN (per-unit odds ratio [OR] = 1.65 [95% confidence interval (CI) = 1.24-2.23], p = 8.3 × 10, R = 3.2%) but a weaker effect in TWB-NHIRD and TPMI (ORs = 1.09-1.13 [95% CI = .98-1.23], p = .002-.057, R = .14%-.22%). FE PRS effects on FE were more consistent but modest (ORs = 1.02-1.16 [95% CI = .97-1.33]). No prognostic value of PRS was found in predicting epilepsy from syncope or unspecified seizures. Individuals in the top 5% GGE PRS had >4-fold increased risk in Epi25-TWN but <1.5-fold in the others. Restricting to earlier onset cases strengthened PRS signals in population cohorts, particularly for GGE, with PheWAS analysis revealing epilepsy-specific associations. PRS effects were generally comparable but attenuated relative to European studies. SIGNIFICANCE: Cohort design and phenotyping accuracy strongly influence the assessment of the predictive value of epilepsy PRS, highlighting caution in clinical interpretation. Incorporating richer phenotypic data and more diverse GWASs will be crucial to enhancing its applicability and clinical potential.

Metadane publikacji

Journal
Epilepsia
Data publikacji
25.06.2026
PMID
42347787
DOI
10.1002/epi.70353
Autorzy
Ke YS, Tsai MH, Ho CR, Chou CY, Chen HH, Stevelink R, Chen S, Chen PC, Liu YT, Tung H
Słowa kluczowe
biobank, electronic health records, epilepsy, phenotyping, polygenic risk score
Źródło
PubMed