Article

Plasma Proteomic Profiles Predict the Risk of Coronary Artery Disease in the UK Biobank Cohort

2024-12-31

Abstract excerpt

Coronary artery disease (CAD) is a complex, multifactorial, and serious condition influenced by genetic, environmental, and lifestyle factors. Thus, it is crucial to develop strategies to predict the risk of CAD for individuals. Plasma proteomics provides a powerful framework for identifying novel biomarkers, discovering potential therapeutic targets, and further improving risk stratification. Here, we examined th...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work: f3b33a3a-cc20-5ab3-856c-6820d2c304c7
DOI: 10.1101/2024.12.30.24319756

Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest

Plasma Proteomic Profiles Predict the Risk of Coronary Artery Disease in the UK Biobank CohortDOI 10.1101/2024.12.30.24319756Read

Machine Learning-Driven Prediction of Coronary Artery Disease Risk Based on UK Biobank Plasma Proteomics.Semantic proximity Read

Plasma protein profile associated with a family history of early-onset coronary heart diseaseSemantic proximity Read

Plasma proteins and onset of atherosclerosis: Integrating human plasma proteogenomics, transcriptomics and in vivo evidenceSemantic proximity Read

Clinical and Genomic Prediction of Coronary Artery Disease Subtypes.Semantic proximity Read

Blood plasma proteome-wide association study implicates novel proteins in the pathogenesis of multiple cardiovascular diseases.Semantic proximity Read

Discovery and Validation of Molecular Biomarkers Contributing to the Risk of Coronary Artery DiseaseSemantic proximity Read

A plasma proteomic signature for atherosclerotic cardiovascular disease risk prediction in the UK Biobank cohortSemantic proximity Read

Proteomic insights into the associations between obesity, lifestyle factors, and coronary artery disease.Semantic proximity Read

Discovery and validation of molecular biomarkers contributing to the risk of coronary artery disease.Semantic proximity Read

Prediction of Coronary Artery Disease Using Urinary ProteomicsSemantic proximity Read

Measured and genetically predicted protein levels and cardiovascular diseases in UK Biobank and China Kadoorie Biobank.Semantic proximity Read

Large-scale evaluation of proteomic and polygenic risk scores reveals complementary contributions to incident disease predictionSemantic proximity Read