| Title: | Machine learning to examine the genetic underpinnings of cardiac fibrosis at scale |
| Journal: | Nature Genetics |
| Published: | 20 Apr 2023 |
| Pubmed: | https://pubmed.ncbi.nlm.nih.gov/37081216/ |
| DOI: | https://doi.org/10.1038/s41588-023-01369-z |
Publication 7866
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Abstract
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.Enabling scientific discoveries that improve human health