rs10502124 - HNRNPA1P60 - RNA5SP350

Magnitude 2.2 · 1 study on file

Reported associations

• Deep Learning of the Retina Enables Phenome- and Genome-Wide Analyses of the Microvasculature - Unknown journal (n.d.) · Unknown authors · PubMed 34743558

  ABSTRACT: Supplemental Digital Content is available in the text. Background: The microvasculature, the smallest blood vessels in the body, has key roles in maintenance of organ health and tumorigenesis. The retinal fundus is a window for human in vivo noninvasive assessment of the microvasculature. Large-scale complementary machine learning-based assessment of the retinal vasculature with phenome-wide and genome-wide analyses may yield new insights into human health and disease. Methods: We used 97 895 retinal fundus images from 54 813 UK Biobank participants. Using convolutional neural networks to segment the retinal microvasculature, we calculated vascular density and fractal dimension as a measure of vascular branching complexity. We associated these indices with 1866 incident Inter

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