Genetics of myocardial interstitial fibrosis in the human heart and association with disease
Year: 2023
Type: article
Study design: Observational Study
Abstract: Myocardial interstitial fibrosis is associated with cardiovascular disease and adverse prognosis. Here, to investigate the biological pathways that underlie fibrosis in the human heart, we developed a machine learning model to measure native myocardial T1 time, a marker of myocardial fibrosis, in 41,505 UK Biobank participants who underwent cardiac magnetic resonance imaging. Greater T1 time was associated with diabetes mellitus, renal disease, aortic stenosis, cardiomyopathy, heart failure, atrial fibrillation, conduction disease and rheumatoid arthritis. Genome-wide association analysis identified 11 independent loci associated with T1 time. The identified loci implicated genes involved in glucose transport (SLC2A12), iron homeostasis (HFE, TMPRSS6), tissue repair (ADAMTSL1, VEGFC), oxidative stress (SOD2), cardiac hypertrophy (MYH7B) and calcium signaling (CAMK2D). Using a transforming growth factor β1-mediated cardiac fibroblast activation assay, we found that 9 of the 11 loci consisted of genes that exhibited temporal changes in expression or open chromatin conformation supporting their biological relevance to myofibroblast cell state acquisition. By harnessing machine learning to perform large-scale quantification of myocardial interstitial fibrosis using cardiac imaging, we validate associations between cardiac fibrosis and disease, and identify new biologically relevant pathways underlying fibrosis.
Source: Nature Genetics
Authors: Victor Nauffal, Paolo Di Achille, Marcus D. R. Klarqvist, Jonathan W. Cunningham, Matthew C. Hill, James P. Pirruccello, Lu-Chen Weng, Valerie N. Morrill, Seung Hoan Choi, Shaan Khurshid, Samuel F. Friedman, Mahan Nekoui, Carolina Roselli, Kenney Ng, Anthony A. Philippakis, Puneet Batra, Patrick T. Ellinor, Steven A. Lubitz
Language: English
Subfield: Cardiology and Cardiovascular Medicine
Field: Medicine
Domain: Health Sciences
Open Access status: hybrid
Estimated APC paid: $11,690
Awards: Precision Medicine in Ischemic Stroke and Atrial Fibrillation (PreMISe-AF), G2436614541, G3083939823, G3897532131, G4077987447, G4533520224, G567725664, G615688133, G6355960561, Advancing Atrial Fibrillation Precision Medicine, Deciphering the Genomic Topology of Atrial Fibrillation, Mentoring in Arrhythmia Research, G8630864450, G8767518440, G8956711882, Deep learning to enable the genetic analysis of aorta, IDENTIFICATION OF COMMON GENETIC VARIANTS FOR ATRIAL FIBRILLATION AND PR INTERVAL, Using Electrocardiogram Genetics to Inform Arrhythmia Risk, Integrated, Multidisciplinary Training in Cardiovascular Research, Training Grant in Cardiovascular Research, Genomics of Cardiac Arrhythmias
OpenAlex ID: W4366495746
