rs11369520 - TIAL1 - RAD1P1

Magnitude 2.2 · 1 study on file

Reported associations

• Cardiovascular measures from abdominal MRI provide insights into abdominal vessel genetic architecture - Unknown journal (n.d.) · Unknown authors · PubMed 41629584

  ABSTRACT: Background Cardiovascular disease remains a major source of morbidity and mortality, and population imaging studies have yielded insights into disease etiology and risk. Methods In this study, we segment the heart, aorta, and vena cava from abdominal magnetic resonance imaging (MRI) scans using deep learning. We generate six image-derived phenotypes (IDP): heart volume, four aortic and one vena cava cross-sectional areas (CSA), from 44,541 UK Biobank participants, and explore their associations with disease outcomes, as well as genetic and environmental factors. Results Here we show concordance between our IDPs and related IDPs from cardiac magnetic resonance imaging, the current gold standard, and replicate previous findings related to sex differences and age-related changes in

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