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Article

Integrated genetic and epigenetic prediction of coronary heart disease in the Framingham Heart Study.

PloS one - 1 Jan 2018

Dogan Meeshanthini V, Grumbach Isabella M, Michaelson Jacob J, Philibert Robert A

Abstract excerpt

An improved method for detecting coronary heart disease (CHD) could have substantial clinical impact. Building on the idea that systemic effects of CHD risk factors are a conglomeration of genetic and environmental factors, we use machine learning techniques and integrate genetic, epigenetic and phenotype data from the Framingham Heart Study to build and test a Random Forest classification model for symptomatic...

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Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

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Identifiers

PMID: 29293675
DOI: 10.1371/journal.pone.0190549
PMCID: PMC5749823

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PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 6 Sept 2026. Manifest publication-graph-cohort-2026-09-06.1.

Source receipt: pubmed, retrieved 6 Sept 2026.

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