Population Heterogeneity and Selection of Coronary Artery Disease Polygenic Scores

European CAD PGS could have different risk estimates in peculiar populations, such as the Italian one, as well as in various geographical macro areas. Therefore, further evaluation is recommended for clinical applicability.

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Publication Details

Journal
Journal of Personalized Medicine
Published
2024-09-26
DOI
https://doi.org/10.3390/jpm14101025
Citations
1
Primary Topic
Genetic Associations and Epidemiology
Type
article
Field-Weighted Citation Impact
0.55

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article

Population Heterogeneity and Selection of Coronary Artery Disease Polygenic Scores

Alessandro De Gregorio, Rosanna Asselta, Elton Jalis Herman, Carla Debernardi et al.
1 citations
Journal of Personalized Medicine
Genetic Associations and Epidemiology
0.55
article

Population Heterogeneity and Selection of Coronary Artery Disease Polygenic Scores

Alessandro De Gregorio, Rosanna Asselta, Elton Jalis Herman, Carla Debernardi, Carlotta Sacerdote, ­Rosario ­Tumino, Elisabetta Casalone, Sabina Sieri, Paolo Vineis, Giuseppe Matullo, Cecilia Di Primio, Angelo Savoca, Diego Ardissino, Salvatore Panico, Miriam Rosselli
article en
1 citations

Abstract

European CAD PGS could have different risk estimates in peculiar populations, such as the Italian one, as well as in various geographical macro areas. Therefore, further evaluation is recommended for clinical applicability.

Journal of Personalized MedicineVol. 14(10)
University of Parma (IT), Humanitas University (IT), Azienda Ospedaliera Citta' della Salute e della Scienza di Torino (IT), Azienda Usl 8 Arezzo (IT), Federico II University Hospital (IT), Ospedale di Parma (IT), Piedmont Reference Center for Epidemiology and Cancer Prevention (IT), Fondazione IRCCS Istituto Nazionale dei Tumori (IT), IRCCS Humanitas Research Hospital (IT), Imperial College London (GB), University of Turin (IT)
Ministero dell’Istruzione, dell’Università e della Ricerca
Good health and well-being
Openalex Percentile: Top 26%
Genetic Associations and Epidemiology
0.55
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