Pulse Brain · Growing Health Evidence Index
Peer-reviewed

Deep Learning of the Retina Enables Phenome- and Genome-Wide Analyses of the Microvasculature

Seyedeh M. Zekavat, Vineet K. Raghu, Mark Trinder, Yixuan Ye, Satoshi Koyama, Michael C. Honigberg, Zhi Yu, Akhil Pampana, Sarah Urbut, Sara Haidermota, Declan P. O’Regan, Hongyu Zhao, Patrick T. Ellinor, Ayellet V. Segrè, Tobias Elze, Janey L. Wiggs, James F. Martone, Ron A. Adelman, Nazlee Zebardast, Lucian Del Priore, Jay Wang, Pradeep Natarajan

Circulation · 2021

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Summary

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: -based conditions (median 10-year follow-up) and 88 quantitative traits, adjusting for age, sex, smoking status, and ethnicity. RESULTS: Low retinal vascular fractal dimension and density were significantly associated with higher risks for incident mortality, hypertension, congestive heart failure, renal failure, type 2 diabetes, sleep apnea, anemia, and multiple ocular

Source type
Peer-reviewed study
DOI
10.1161/circulationaha.121.057709
Catalogue ID
SNmojad3d9-l1l2eb
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