Polygenic prediction of coronary heart disease among 130 000 Mexican adults

In this Mexican population, existing PRSs predicted CHD independently of established vascular risk factors, particularly for men. PRSs better capturing genetic variation in Latin American people may further enhance risk prediction in such populations.

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Publication Details

Journal
European Journal of Preventive Cardiology
Published
2025-11-12
DOI
https://doi.org/10.1093/eurjpc/zwaf728
Citations
1
Primary Topic
Genetic Associations and Epidemiology
Type
article
Field-Weighted Citation Impact
1.82

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article

Polygenic prediction of coronary heart disease among 130 000 Mexican adults

Alejandra Vergara, Michael Hill, Pablo Antonio Kuri-Morales, Fiona Bragg et al.
1 citations
European Journal of Preventive Cardiology
Genetic Associations and Epidemiology
1.82
article

Polygenic prediction of coronary heart disease among 130 000 Mexican adults

Alejandra Vergara, Michael Hill, Pablo Antonio Kuri-Morales, Fiona Bragg, Jonathan Emberson, Jason Torres, Jesús Alegre-Díaz, Jaime Berúmen, Raúl Ramírez-Reyes, Paulina Baca, Diego J. Aguilar-Ramirez, William Guy Herrington, Carlos González-Carballo, Louisa Gnatiuc, Fernando Rivas, Eirini Trichia, Rory Collins, Rachel Wade, Roberto Tapia‐Conyer, Tianshu Liu
article en
1 citations

Abstract

In this Mexican population, existing PRSs predicted CHD independently of established vascular risk factors, particularly for men. PRSs better capturing genetic variation in Latin American people may further enhance risk prediction in such populations.

European Journal of Preventive CardiologyVol. 33(3)
Centro Universitario Anglo Mexicano (MX), University of Oxford (GB), Nuffield Health (GB), Health Data Research UK (GB), Science Oxford (GB), Universidad Nacional Autónoma de México (MX), Tecnológico de Monterrey (MX)
AstraZeneca, Regeneron Pharmaceuticals, Wellcome Trust, Cancer Research UK, National Institute for Health and Care Research, British Heart Foundation, University of Oxford, Universidad Nacional Autónoma de México, Medical Research Council
Openalex Percentile: Top 11%
Genetic Associations and Epidemiology
1.82
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