Article

Discovery and Validation of Molecular Biomarkers Contributing to the Risk of Coronary Artery Disease

2026-04-02

Abstract excerpt

<h4>Background and Aims: </h4> This study aimed to systematically search for molecular biomarkers that contribute to the risk of coronary artery disease (CAD). Methods and Results: A SNP-based multiomics data analysis plan was used to identify biomarkers contributing to the risk of CAD through a two-step discovery and validation design. By integrating CAD GWAS data with epigenome, transcriptome, and proteome quant...

Topics

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

Identifiers and source

Literature Corpus work: f437a668-a1c4-5927-9072-7b4af0ad3d4b
DOI: 10.20944/preprints202604.0156.v1

Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest

Discovery and Validation of Molecular Biomarkers Contributing to the Risk of Coronary Artery DiseaseDOI 10.20944/preprints202604.0156.v1Read

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

Multiomics Screening Identifies Molecular Biomarkers Causally Associated With the Risk of Coronary Artery Disease.Semantic proximity Read

A framework for studying multi-omic risk factors and their interplay: application to coronary artery diseaseSemantic proximity Read

Proteome-wide Mendelian randomization identifies candidate causal proteins for cardiovascular diseasesSemantic proximity Read

Identification of Risk Pathways and Functional Modules for Coronary Artery Disease Based on Genome-wide SNP Data.Semantic proximity Read

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

Association of Genetically Predicted Levels of Circulating Blood Lipids with Coronary Artery Disease IncidenceSemantic proximity Read

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

Plasma Proteomic Profiles Predict the Risk of Coronary Artery Disease in the UK Biobank CohortSemantic proximity Read

Bioinformatic platforms for clinical stratification of natural history of atherosclerotic cardiovascular diseasesSemantic proximity Read

Therapeutic protein targets for cardiometabolic diseases: Mendelian randomization integrating plasma proteomes with genome-wide association dataSemantic proximity Read

Network analysis of coronary artery disease risk genes elucidates disease mechanisms and druggable targets.Semantic proximity Read