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Machine learning to examine the genetic underpinnings of cardiac fibrosis at scale - Nature Genetics

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Machine learning to examine the genetic underpinnings of cardiac fibrosis at scale - Nature Genetics

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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Machine learning to examine the genetic underpinnings of cardiac fibrosis at scale - Nature Genetics

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Machine learning to examine the genetic underpinnings of cardiac fibrosis at scale - Nature Genetics

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