Recurrent Stroke Prediction by Applying a Stroke Polygenic Risk Score in the Japanese Population

The metaGRS developed in a Japanese cohort predicted stroke recurrence in an independent cohort of patients. In particular, it predicted an increased risk of recurrence among stroke patients without hypertension. These findings provide clues for additional genetic risk stratification and help in developing personalized strategies for stroke recurrence prevention.

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Publication Details

Journal
Stroke
Published
2025-03-26
DOI
https://doi.org/10.1161/strokeaha.124.047786
Citations
1
Primary Topic
Genetic Associations and Epidemiology
Type
article
Field-Weighted Citation Impact
1.82
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article

Recurrent Stroke Prediction by Applying a Stroke Polygenic Risk Score in the Japanese Population

N. Kojima, Masaru Koido, Yoichiro Kamatani, Tsuyoshi Hachiya et al.
1 citations
Stroke
Genetic Associations and Epidemiology
1.82
article

Recurrent Stroke Prediction by Applying a Stroke Polygenic Risk Score in the Japanese Population

N. Kojima, Masaru Koido, Yoichiro Kamatani, Tsuyoshi Hachiya, Stéphanie Debette, Yunye He, Yuka Shimmori
article en
1 citations

Abstract

The metaGRS developed in a Japanese cohort predicted stroke recurrence in an independent cohort of patients. In particular, it predicted an increased risk of recurrence among stroke patients without hypertension. These findings provide clues for additional genetic risk stratification and help in developing personalized strategies for stroke recurrence prevention.

StrokeVol. 56(6)
Université de Bordeaux (FR), Inserm (FR), Institut des Maladies Neurodégénératives (FR), Bordeaux Population Health (FR), YKK (Japan) (JP)
Good health and well-being
Openalex Percentile: Top 17%
Genetic Associations and Epidemiology
1.82
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Recurrent Stroke Prediction by Applying a Stroke Polygenic Risk Score in the Japanese Population — N. Kojima, Masaru Koido, et al. · Stroke (2025) | TGRS Research Map | TGRS