Development and validation of a risk prediction algorithm for high-risk populations combining genetic and conventional risk factors of cardiovascular disease

In a high-risk population, PRS is a strong independent risk factor for CVD and should be considered in routine risk assessment, starting at a relatively young age.

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Publication Details

Journal
PLoS ONE
Published
2025-10-21
DOI
https://doi.org/10.1371/journal.pone.0335064
Citations
1
Primary Topic
Genetic Associations and Epidemiology
Type
article
Field-Weighted Citation Impact
1.82
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article

Development and validation of a risk prediction algorithm for high-risk populations combining genetic and conventional risk factors of cardiovascular disease

Tuuli Jürgenson, Lili Milani, Ave Põld, Krista Fischer et al.
1 citations
PLoS ONE
Genetic Associations and Epidemiology
1.82
article

Development and validation of a risk prediction algorithm for high-risk populations combining genetic and conventional risk factors of cardiovascular disease

Tuuli Jürgenson, Lili Milani, Ave Põld, Krista Fischer, Mikk Jürisson, Aet Elken
article en
1 citations

Abstract

In a high-risk population, PRS is a strong independent risk factor for CVD and should be considered in routine risk assessment, starting at a relatively young age.

PLoS ONEVol. 20(10)
Tartu University Hospital (EE), North Estonia Medical Centre (EE), University of Tartu (EE)
Openalex Percentile: Top 12%
Genetic Associations and Epidemiology
1.82
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