Key result
Aortic stenosis polygenic risk score linked to ~55% higher odds of severe AS per SD.
Why the study?
Although genome-wide association studies have enabled polygenic risk scores for aortic stenosis, the utility of these scores in Japanese populations had not been sufficiently evaluated.
Does a GWAS-based polygenic risk score for aortic stenosis (PRSAS) discriminate severe aortic stenosis in a Japanese cohort?
Case-Control (n=994)
Does a GWAS-based polygenic risk score for aortic stenosis (PRSAS) discriminate severe aortic stenosis in a Japanese cohort?
A GWAS-derived polygenic risk score for aortic stenosis was independently associated with severe aortic stenosis in a Japanese cohort, supporting its cross-ancestry transferability and potential utility for genetic risk stratification in East Asian populations.
Association in Japanese cohort supports cross-ancestry transferability; leaves open clinical utility for risk stratification.
Background Although recent genome-wide association studies (GWAS) have identified numerous genetic variants associated with aortic stenosis (AS) and enabled the development of polygenic risk scores (PRS), the utility of AS-related PRS in Japanese populations has not been sufficiently evaluated. Purpose To evaluate the distribution and discriminative performance of a previously reported polygenic risk score for AS (PRSAS)1 in a Japanese cohort. Methods We applied a previously published GWAS-based polygenic risk score for AS (PRSAS) to a Japanese cohort comprising consecutively enrolled patients with severe AS (N=93) and a population-based control cohort derived from the Shikamachi Health Improvement Practice (SHIP) genome cohort in Japan (N=901). All participants underwent genome-wide genotyping followed by stringent quality control, genotype imputation, and assessment of population stratification and batch effects. Of the 241 variants originally reported, 143 variants were available after harmonization and were used to calculate PRSAS.The distribution of PRSAS was compared between cases and controls, and the association between PRSAS and AS was evaluated using logistic regression analyses. Results The mean age was 81.1± 7.7 years in the AS cohort and 61.9 ± 10.7 years in controls. PRSAS was significantly higher in patients with severe AS than in controls, with a rightward shift in its distribution among AS cases (Figure 1). After adjustment for age and sex, PRSAS remained independently associated with AS (adjusted odds ratio [OR] 1.55 per 1-SD increase, 95% CI 1.13–2.16; P=0.0075). A graded dose–response relationship was observed across PRS quartiles (adjusted OR 1.41 per quartile increase; 95% CI 1.06–1.88; P-trend=0.019) (Figure 2). In a sensitivity analysis with participants aged ≥70 years, the result was consistent with main findings (adjusted OR 1.65 per quartile increase; 95% CI 1.18–2.36; P for trend=0.004). Conclusions In this Japanese cohort, a GWAS-derived PRS for AS was independently associated with severe AS after adjustment for age and sex, with consistent dose–response relationships observed even among older individuals. These findings support the cross-ancestry transferability of PRSAS and its potential utility for genetic risk stratification in East Asian populations.Figure 1Figure 2
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Takeji et al. (2026) conducted a case-control in Severe aortic stenosis (n=994). GWAS-based polygenic risk score for aortic stenosis (PRSAS) vs. Population-based control cohort was evaluated on Severe aortic stenosis (OR 1.55, 95% CI 1.13-2.16, p=0.0075). A GWAS-derived polygenic risk score for aortic stenosis was independently associated with severe aortic stenosis in a Japanese cohort (adjusted OR 1.55 per 1-SD increase; 95% CI 1.13-2.16; P=0.0075).
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