We developed a machine learning model to quantify cardiac fibrosis (which is associated with cardiovascular disease) using cardiac MRI data from 41,505 UK Biobank participants. In the subsequent large-scale GWAS of cardiac fibrosis, we identified 11 independent genomic loci, 9 of which were implicated in in vitro cardiac fibroblast activation.
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This is a summary of: Nauffal, V. et al. Genetics of myocardial interstitial fibrosis in the human heart and association with disease. Nat. Genet. https://doi.org/10.1038/s41588-023-01371-5 (2023).
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Machine learning to examine the genetic underpinnings of cardiac fibrosis at scale. Nat Genet 55, 736–737 (2023). https://doi.org/10.1038/s41588-023-01369-z
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DOI: https://doi.org/10.1038/s41588-023-01369-z
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