DNA methylation and gene expression integration in cardiovascular disease.
Guillermo Palou-MárquezIsaac SubiranaLara NonellAlba Fernández-SanlésRoberto ElosuaPublished in: Clinical epigenetics (2021)
Unsupervised multi-omics data integration methods have the potential to provide insights into the pathogenesis of cardiovascular diseases. We identified four independent factors (one only in women) pointing to inflammation, endothelium homeostasis, visceral fat, cardiac remodeling and lifestyles as key players in the determination of cardiovascular risk. Moreover, two of these factors improved the predictive capacity of a classical risk function.
Keyphrases
- cardiovascular disease
- dna methylation
- gene expression
- genome wide
- oxidative stress
- polycystic ovary syndrome
- nitric oxide
- machine learning
- adipose tissue
- insulin resistance
- cardiovascular risk factors
- electronic health record
- type diabetes
- cardiovascular events
- left ventricular
- single cell
- fatty acid
- pregnant women
- metabolic syndrome
- solid phase extraction
- coronary artery disease
- climate change
- breast cancer risk
- atrial fibrillation