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Deep learning enables genetic analysis of the human thoracic aorta.

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Title: Deep learning enables genetic analysis of the human thoracic aorta.
Authors: Pirruccello JP; Division of Cardiology, Massachusetts General Hospital, Boston, MA, USA.; Cardiovascular Research Center, Massachusetts General Hospital, Boston, MA, USA.; Cardiovascular Disease Initiative, Broad Institute, Cambridge, MA, USA.; Precision Cardiology Laboratory, The Broad Institute & Bayer US LLC, Cambridge, MA, USA.; Harvard Medical School, Boston, MA, USA., Chaffin MD; Cardiovascular Disease Initiative, Broad Institute, Cambridge, MA, USA.; Precision Cardiology Laboratory, The Broad Institute & Bayer US LLC, Cambridge, MA, USA., Chou EL; Cardiovascular Research Center, Massachusetts General Hospital, Boston, MA, USA.; Division of Vascular and Endovascular Surgery, Massachusetts General Hospital, Boston, MA, USA., Fleming SJ; Precision Cardiology Laboratory, The Broad Institute & Bayer US LLC, Cambridge, MA, USA.; Data Sciences Platform, Broad Institute, Cambridge, MA, USA., Lin H; Framingham Heart Study, Boston University and National Heart, Lung, and Blood Institute, Framingham, MA, USA.; Department of Medicine, Section of Computational Biomedicine, Boston University School of Medicine, Boston, MA, USA., Nekoui M; Cardiovascular Disease Initiative, Broad Institute, Cambridge, MA, USA.; Harvard Medical School, Boston, MA, USA., Khurshid S; Division of Cardiology, Massachusetts General Hospital, Boston, MA, USA.; Cardiovascular Research Center, Massachusetts General Hospital, Boston, MA, USA.; Cardiovascular Disease Initiative, Broad Institute, Cambridge, MA, USA., Friedman SF; Data Sciences Platform, Broad Institute, Cambridge, MA, USA., Bick AG; Cardiovascular Disease Initiative, Broad Institute, Cambridge, MA, USA.; Department of Medicine, Center for Genomic Medicine, Massachusetts General Hospital, Boston, MA, USA., Arduini A; Cardiovascular Disease Initiative, Broad Institute, Cambridge, MA, USA.; Precision Cardiology Laboratory, The Broad Institute & Bayer US LLC, Cambridge, MA, USA., Weng LC; Cardiovascular Research Center, Massachusetts General Hospital, Boston, MA, USA.; Cardiovascular Disease Initiative, Broad Institute, Cambridge, MA, USA., Choi SH; Cardiovascular Disease Initiative, Broad Institute, Cambridge, MA, USA., Akkad AD; Precision Cardiology Laboratory, The Broad Institute & Bayer US LLC, Cambridge, MA, USA., Batra P; Data Sciences Platform, Broad Institute, Cambridge, MA, USA., Tucker NR; Masonic Medical Research Institute, Utica, NY, USA., Hall AW; Cardiovascular Disease Initiative, Broad Institute, Cambridge, MA, USA., Roselli C; Cardiovascular Disease Initiative, Broad Institute, Cambridge, MA, USA.; University Medical Center Groningen, University of Groningen, Groningen, the Netherlands., Benjamin EJ; Framingham Heart Study, Boston University and National Heart, Lung, and Blood Institute, Framingham, MA, USA.; Department of Medicine, Cardiology and Preventive Medicine Sections, Boston University School of Medicine, Boston, MA, USA.; Epidemiology Department, Boston University School of Public Health, Boston, MA, USA., Vellarikkal SK; Cardiovascular Disease Initiative, Broad Institute, Cambridge, MA, USA., Gupta RM; Department of Medicine, Divisions of Cardiovascular Medicine and Genetics, Brigham and Women's Hospital, Boston, MA, USA., Stegmann CM; Precision Cardiology Laboratory, The Broad Institute & Bayer US LLC, Cambridge, MA, USA., Juric D; Harvard Medical School, Boston, MA, USA.; Cancer Center, Massachusetts General Hospital, Boston, MA, USA., Stone JR; Harvard Medical School, Boston, MA, USA.; Department of Pathology, Massachusetts General Hospital, Boston, MA, USA., Vasan RS; Framingham Heart Study, Boston University and National Heart, Lung, and Blood Institute, Framingham, MA, USA.; Department of Medicine, Cardiology and Preventive Medicine Sections, Boston University School of Medicine, Boston, MA, USA.; Epidemiology Department, Boston University School of Public Health, Boston, MA, USA., Ho JE; Division of Cardiology, Massachusetts General Hospital, Boston, MA, USA.; Cardiovascular Research Center, Massachusetts General Hospital, Boston, MA, USA.; Harvard Medical School, Boston, MA, USA., Hoffmann U; Department of Radiology, Harvard Medical School, Boston, MA, USA.; Cardiovascular Imaging Research Center, Massachusetts General Hospital, Boston, MA, USA., Lubitz SA; Division of Cardiology, Massachusetts General Hospital, Boston, MA, USA.; Cardiovascular Research Center, Massachusetts General Hospital, Boston, MA, USA.; Cardiovascular Disease Initiative, Broad Institute, Cambridge, MA, USA.; Harvard Medical School, Boston, MA, USA., Philippakis AA; Data Sciences Platform, Broad Institute, Cambridge, MA, USA.; GV, Mountain View, CA, USA., Lindsay ME; Division of Cardiology, Massachusetts General Hospital, Boston, MA, USA.; Cardiovascular Research Center, Massachusetts General Hospital, Boston, MA, USA.; Cardiovascular Disease Initiative, Broad Institute, Cambridge, MA, USA.; Harvard Medical School, Boston, MA, USA.; Thoracic Aortic Center, Massachusetts General Hospital, Boston, MA, USA., Ellinor PT; Division of Cardiology, Massachusetts General Hospital, Boston, MA, USA. ellinor@mgh.harvard.edu.; Cardiovascular Research Center, Massachusetts General Hospital, Boston, MA, USA. ellinor@mgh.harvard.edu.; Cardiovascular Disease Initiative, Broad Institute, Cambridge, MA, USA. ellinor@mgh.harvard.edu.; Precision Cardiology Laboratory, The Broad Institute & Bayer US LLC, Cambridge, MA, USA. ellinor@mgh.harvard.edu.; Harvard Medical School, Boston, MA, USA. ellinor@mgh.harvard.edu.
Source: Nature genetics [Nat Genet] 2022 Jan; Vol. 54 (1), pp. 40-51. Date of Electronic Publication: 2021 Nov 26.
Publication Type: Journal Article; Research Support, N.I.H., Extramural; Research Support, Non-U.S. Gov't
Journal Info: Publisher: Nature Pub. Co Country of Publication: United States NLM ID: 9216904 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1546-1718 (Electronic) Linking ISSN: 10614036 NLM ISO Abbreviation: Nat Genet Subsets: MEDLINE
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