Diseases of the colon and rectum
Authors: Van Loon K
Multiple sclerosis and related disorders
Authors: Fleming NH, Bahorik A, Xia F, Yaffe K
Journal of general internal medicine
Authors: Jain S, Rosenbaum PR, Reiter JG, Ramadan OI, Hill AS, Hashemi S, Brown RT, Kelz RR, Fleisher LA, Silber JH
Intensive care medicine
Authors: Artigas A, Barbas CSV, Matthay MA
Immunity
Authors: Tsai YL, Arias-Badia M, Kadlecek TA, Lwin YM, Srinath A, Shah NH, Wang ZE, Barber D, Kuriyan J, Fong L, Weiss A
The journal of allergy and clinical immunology. In practice
Authors: Covar R, Lazarus SC, Krishnan JA, Blake KV, Sorkness CA, Dyer AM, Lang JE, Lugogo NL, Mauger DT, Wechsler ME, Wenzel SE, Cardet JC, Castro M, Israel E, Phipatanakul W, King TS, National Heart, Lung, and Blood Institute AsthmaNet
Ergonomics
Authors: Kim S, Ojelade A, Moore A, Gutierrez N, Harris-Adamson C, Barr A, Srinivasan D, Rempel DM, Nussbaum MA
Journal of the American Heart Association
Authors: Rakic JM, Pullinger CR, Van Blarigan EL, Movsesyan I, Stock EO, Malloy MJ, Kane JP
JMIR medical informatics
Authors: Renner C, Reimer N, Christoph J, Busch H, Metzger P, Boerries M, Ustjanzew A, Boehm D, Unberath P
Volume 56 of Issue 2 | Nature genetics
Authors: Gomes B, Singh A, O'Sullivan JW, Schnurr TM, Goddard PC, Loong S, Amar D, Hughes JW, Kostur M, Haddad F, Salerno M, Foo R, Montgomery SB, Parikh VN, Meder B, Ashley EA
Cardiac blood flow is a critical determinant of human health. However, the definition of its genetic architecture is limited by the technical challenge of capturing dynamic flow volumes from cardiac imaging at scale. We present DeepFlow, a deep-learning system to extract cardiac flow and volumes from phase-contrast cardiac magnetic resonance imaging. A mixed-linear model applied to 37,653 individuals from the UK Biobank reveals genome-wide significant associations across cardiac dynamic flow volumes spanning from aortic forward velocity to aortic regurgitation fraction. Mendelian randomization reveals a causal role for aortic root size in aortic valve regurgitation. Among the most significant contributing variants, localizing genes (near ELN, PRDM6 and ADAMTS7) are implicated in connective tissue and blood pressure pathways. Here we show that DeepFlow cardiac flow phenotyping at scale, combined with genotyping data, reinforces the contribution of connective tissue genes, blood pressure and root size to aortic valve function.
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