rs112555002 - SEZ6L2

Magnitude 2.2 · 1 study on file

Reported associations

• Clinical and genetic associations of deep learning-derived cardiac magnetic resonance-based left ventricular mass - Unknown journal (n.d.) · Unknown authors · PubMed 36944631

  ABSTRACT: Left ventricular mass is a risk marker for cardiovascular events, and may indicate an underlying cardiomyopathy. Cardiac magnetic resonance is the gold-standard for left ventricular mass estimation, but is challenging to obtain at scale. Here, we use deep learning to enable genome-wide association study of cardiac magnetic resonance-derived left ventricular mass indexed to body surface area within 43,230 UK Biobank participants. We identify 12 genome-wide associations (1 known at TTN and 11 novel for left ventricular mass), implicating genes previously associated with cardiac contractility and cardiomyopathy. Cardiac magnetic resonance-derived indexed left ventricular mass is associated with incident dilated and hypertrophic cardiomyopathies, and implantable cardioverter-defibril

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