Assessing the role of polygenic risk scores in cardiovascular risk prediction: a cross-sectional analysis from the Paracelsus 10 000 cohort

Polygenic risk score enhances SCORE2-based prediction of significant CAC. These findings highlight the potential of PGS to refine cardiovascular risk stratification, supporting targeted screening and prevention. Prospective validation, assessment of long-term cardiovascular outcomes, and cost-effectiveness analysis are warranted to guide clinical implementation.

Authors

Institutions

Publication Details

Journal
European Journal of Preventive Cardiology
Published
2025-04-07
DOI
https://doi.org/10.1093/eurjpc/zwaf206
Citations
1
Primary Topic
Genetic Associations and Epidemiology
Type
article
Field-Weighted Citation Impact
1.82
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Assessing the role of polygenic risk scores in cardiovascular risk prediction: a cross-sectional analysis from the Paracelsus 10 000 cohort

Elmar Aigner, Bernhard Iglseder, Tobias Kiesslich, Bernhard Paulweber et al.
1 citations
European Journal of Preventive Cardiology
Genetic Associations and Epidemiology
1.82
article

Assessing the role of polygenic risk scores in cardiovascular risk prediction: a cross-sectional analysis from the Paracelsus 10 000 cohort

Elmar Aigner, Bernhard Iglseder, Tobias Kiesslich, Bernhard Paulweber, Bernhard Wernly, Maria Flamm, Vanessa Frey, Ludmilla Kedenko, Eugen Trinka, Patrick Benjamin Langthaler, Barbara Fixl
article en
1 citations

Abstract

Polygenic risk score enhances SCORE2-based prediction of significant CAC. These findings highlight the potential of PGS to refine cardiovascular risk stratification, supporting targeted screening and prevention. Prospective validation, assessment of long-term cardiovascular outcomes, and cost-effectiveness analysis are warranted to guide clinical implementation.

European Journal of Preventive CardiologyVol. 33(3)
Paracelsus Medical University (AT), Christian Doppler Klinik (AT), Neuroscience Institute (IT), Institut des Sciences Cognitives Marc Jeannerod (FR), Unfallkrankenhaus Salzburg (AT), Czech Academy of Sciences, Institute of Physiology (CZ)
Good health and well-being
Openalex Percentile: Top 17%
Genetic Associations and Epidemiology
1.82
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Assessing the role of polygenic risk scores in cardiovascular risk prediction: a cross-sectional analysis from the Paracelsus 10 000 cohort — Elmar Aigner, Bernhard Iglseder, et al. · European Journal of Preventive Cardiology (2025) | TGRS Research Map | TGRS