Discover Community Create You

Loading publication...

Noodle always counts identifier-free feature events for service operation. With your permission, Google Analytics can also estimate audience and engagement. Search text, publication identifiers, cookies, IP addresses and browser fingerprints are never included in Noodle's first-party event counters.

Privacy details

Article

Validation of an Integrated Genetic-Epigenetic Test for the Assessment of Coronary Heart Disease.

Journal of the American Heart Association - 21 Nov 2023

Philibert Robert, Dogan Timur K, Knight Stacey, Ahmad Ferhaan, Lau Stanley, Miles George, Knowlton Kirk U, Dogan Meeshanthini V

Abstract excerpt

BACKGROUND: Coronary heart disease (CHD) is the leading cause of death in the world. Unfortunately, many of the key diagnostic tools for CHD are insensitive, invasive, and costly; require significant specialized infrastructure investments; and do not provide information to guide postdiagnosis therapy. In prior work using data from the Framingham Heart Study, we provided in silico evidence that integrated...

Read the complete abstract on PubMed

Topics

Share this publication in a Topic to start or enrich a Post.

Share to Case-Control Studies
Share to Coronary Disease

Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

Share to DNA Methylation

Share to Epigenesis, Genetic

Share to Genetic Testing

Share to Machine Learning

Share to Predictive Value of Tests

Share to Reproducibility of Results

Source

Open in PubMed Open full text

Identifiers

PMID: 37982274
DOI: 10.1161/JAHA.123.030934
PMCID: PMC10727271

Provenance

PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 6 Sept 2026.

Related research

Semantic proximity does not establish scientific evidence.

Research trail→

Click a neighbor to travelStep 1 · 12 closest

Validation of an Integrated Genetic-Epigenetic Test for the Assessment of Coronary Heart Disease.PMID 37982274Read ↗

External validation of integrated genetic-epigenetic biomarkers for predicting incident coronary heart disease.Semantic proximity Read ↗

Integrated genetic and epigenetic prediction of coronary heart disease in the Framingham Heart Study.Semantic proximity Read ↗

Blood-Based Biomarkers for Predicting the Risk for Five-Year Incident Coronary Heart Disease in the Framingham Heart Study via Machine LearningSemantic proximity Read ↗

Genomic prediction of coronary heart disease.Semantic proximity Read ↗

An Integrated Germline and Somatic Genomic Model Improves Risk Prediction for Coronary Artery DiseaseSemantic proximity Read ↗

DNA methylation signatures of incident coronary heart disease: findings from epigenome-wide association studiesSemantic proximity Read ↗

An integrated germline and somatic genomic model for coronary artery disease.Semantic proximity Read ↗

Examining the potential causal relationships among smoking behaviors, blood DNA methylation profiles, and the development of coronary heart disease and myocardial infarction.Semantic proximity Read ↗

DNA methylation in cardiovascular disease and heart failure: novel prediction models?Semantic proximity Read ↗

Genetic risk prediction and a 2-stage risk screening strategy for coronary heart disease.Semantic proximity Read ↗

Epigenomic Assessment of Cardiovascular Disease Risk and Interactions With Traditional Risk MetricsSemantic proximity Read ↗

DNA methylation biomarkers of myocardial infarction and cardiovascular disease.Semantic proximity Read ↗

⌁Select a neighboring publication to make it the new centre.