Deep learning enables genetic analysis of the human thoracic aorta-Reference-Cited by-同舟云学术

Deep learning enables genetic analysis of the human thoracic aorta

Published:2021-11-26 Issue:1 Volume:54 Page:40-51
ISSN:1061-4036
Container-title:Nature Genetics
language:en
Short-container-title:Nat Genet

Author:

Pirruccello James P.^ORCID,Chaffin Mark D.^ORCID,Chou Elizabeth L.^ORCID,Fleming Stephen J.^ORCID,Lin Honghuang^ORCID,Nekoui Mahan^ORCID,Khurshid Shaan,Friedman Samuel F.,Bick Alexander G.,Arduini Alessandro,Weng Lu-Chen^ORCID,Choi Seung Hoan^ORCID,Akkad Amer-Denis,Batra Puneet^ORCID,Tucker Nathan R.,Hall Amelia W.^ORCID,Roselli Carolina^ORCID,Benjamin Emelia J.^ORCID,Vellarikkal Shamsudheen K.^ORCID,Gupta Rajat M.,Stegmann Christian M.,Juric Dejan,Stone James R.,Vasan Ramachandran S.^ORCID,Ho Jennifer E.,Hoffmann Udo,Lubitz Steven A.^ORCID,Philippakis Anthony A.,Lindsay Mark E.^ORCID,Ellinor Patrick T.^ORCID

Funder

Fondation Leducq

U.S. Department of Health & Human Services | NIH | National Heart, Lung, and Blood Institute

American Heart Association

John S LaDue Memorial Fellowship

Career Award for Medical Scientists from the Burroughs Wellcome Fund

The Fredman Fellowship for Aortic DiseaseThe Toomey Fund for Aortic Dissection Research

Publisher

Springer Science and Business Media LLC

Subject

Genetics

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