Polygenic Prediction of Recurrent Events After Early-Onset Myocardial Infarction

When compared with other clinical risk factors, PGS was the strongest predictor of event recurrence among patients with an early-onset MI. Though the discriminative power of recurrent event prediction in this cohort was modest, the addition of PGS significantly improved discrimination.

Authors

Institutions

Publication Details

Journal
Circulation Genomic and Precision Medicine
Published
2024-11-29
DOI
https://doi.org/10.1161/circgen.124.004687
Citations
2
Primary Topic
Cardiovascular Function and Risk Factors
Type
article
Field-Weighted Citation Impact
0.80

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Polygenic Prediction of Recurrent Events After Early-Onset Myocardial Infarction

Antonio Crocamo, Emanuele Di Angelantonio, Rosanna Asselta, Michael C. Honigberg et al.
2 citations
Circulation Genomic and Precision Medicine
Cardiovascular Function and Risk Factors
0.80
article

Polygenic Prediction of Recurrent Events After Early-Onset Myocardial Infarction

Antonio Crocamo, Emanuele Di Angelantonio, Rosanna Asselta, Michael C. Honigberg, Giampaolo Niccoli, Libor Pastika, Marco Tubaro, Diego Ardissino, S Bricoli, Samuel A. Lambert, Pradeep Natarajan, Luigi Vignali, Arunashis Sau, Michael Inouye, Adam J. Nelson, Maddalena Ardissino, Martin Kelemen, Giuseppe Maglietta, Lois G. Kim, Antonio de Marvao, Fu Siong Ng, Elvezia Maria Paraboschi, Adam S. Butterworth, Giulia Magnani
article en
2 citations

Abstract

When compared with other clinical risk factors, PGS was the strongest predictor of event recurrence among patients with an early-onset MI. Though the discriminative power of recurrent event prediction in this cohort was modest, the addition of PGS significantly improved discrimination.

Circulation Genomic and Precision MedicineVol. 17(6)
Broad Institute (US), University of Parma (IT), Humanitas University (IT), Baker Heart and Diabetes Institute (AU), British Heart Foundation (GB), National Institute for Health and Care Excellence (GB), Massachusetts General Hospital (US), Departamento de Epidemiología (GT), Società Italiana di Cardiologia (IT), Women's & Children's Health Research Institute (AU), Ospedale San Filippo Neri (IT), Lung Institute (US), Human Technopole (IT), Wellcome Connecting Science (GB), Department of Public Health (US), MRC London Institute of Medical Sciences (GB), IRCCS Humanitas Research Hospital (IT), The University of Adelaide (AU)
American Heart Association, Health and Care Research Wales, Scottish Government, UK Research and Innovation, Cancer Research UK, National Institute for Health and Care Research, British Heart Foundation, Public Health Agency, Fetal Medicine Foundation, Regione Emilia-Romagna, Chief Scientist Office, Scottish Government Health and Social Care Directorate, Medical Research Council, Engineering and Physical Sciences Research Council, Economic and Social Research Council, Health and Social Care Research and Development Division, NIHR Imperial Biomedical Research Centre, NIHR Cambridge Biomedical Research Centre, National Heart, Lung, and Blood Institute, National Human Genome Research Institute
Reduced inequalities
Openalex Percentile: Top 22%
Cardiovascular Function and Risk Factors
0.80
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.