Machine learning prediction of hypertension integrating polygenic risk scores in inner Eurasian populations

IntroductionArterial hypertension is one of the leading contributors to cardiovascular morbidity and mortality worldwide. This study aimed to evaluate the performance of polygenic risk scores (PRS) for hypertension in Russia and to develop predictive models integrating PRS and questionnaire-based ri...

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Detalhes bibliográficos

Principais autores:	Vera Tsvetkova, Aleksandra Denisova, Saleem Mansour, Layal Shaheen, Iskandar Hweijeh, Leushin Artem, Travin Grigorii, Dilya Turkmenova, Liya Valieva, Anna Kim, Dmitrii Kharitonov, Anna Ilinskaya, Maria Poptsova, Valery Ilinsky, Alexander Rakitko
Formato:	Artigo
Idioma:	Inglês
Publicado em:	Frontiers Media S.A. 2026-07-01
Colecção:	Frontiers in Cardiovascular Medicine
Assuntos:	hypertension inner Eurasia multiethnic populations precision medicine PRS
Acesso em linha:	https://www.frontiersin.org/articles/10.3389/fcvm.2026.1843103/full
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