Decoding the Genomics of Abdominal Aortic Aneurysm

Cell

Volumn 174, Issue 6, 2018, Pages 1361-1372.e10

  Li, Jingjing ^a   Pan, Cuiping ^a,b   Zhang, Sai ^a   Spin, Joshua M ^a,b   Deng, Alicia ^a,b   Leung, Lawrence L K ^a,b   Dalman, Ronald L ^a   Tsao, Philip S ^a,b   Snyder, Michael ^a  

^a STANFORD UNIVERSITY SCHOOL OF MEDICINE   (United States)

^b VETERANS AFFAIRS MEDICAL CENTER   (United States)

Author keywords

abdominal aortic aneurysm; cardiovascular diseases; complex disease; electronic health record; HEAL; lifestyle; machine learning; personal genome; personal health management; precision medicine

Indexed keywords

ABDOMINAL AORTIC ANEURYSM; ACCURACY; AORTIC TISSUE; ARTICLE; CLINICAL EFFECTIVENESS; CLINICAL OUTCOME; CONTROLLED STUDY; DISEASE ASSOCIATION; ELECTRONIC HEALTH RECORD; GENOME ANALYSIS; GENOMICS; HEALTH CARE MANAGEMENT; HIERARCHICAL ESTIMATE FROM AGNOSTIC LEARNING; HUMAN; LIFESTYLE MODIFICATION; MACHINE LEARNING; NONHUMAN; PERSONALIZED MEDICINE; PREDICTION; PRIORITY JOURNAL; QUANTITATIVE ANALYSIS; WHOLE GENOME SEQUENCING; ANIMAL; AREA UNDER THE CURVE; DISEASE MODEL; GENE EXPRESSION REGULATION; GENE REGULATORY NETWORK; GENETICS; GENOME-WIDE ASSOCIATION STUDY; MOUSE; PATHOLOGY; PROTEIN ANALYSIS; RECEIVER OPERATING CHARACTERISTIC; SINGLE NUCLEOTIDE POLYMORPHISM;

ANIMALS; AORTIC ANEURYSM, ABDOMINAL; AREA UNDER CURVE; DISEASE MODELS, ANIMAL; GENE EXPRESSION REGULATION; GENE REGULATORY NETWORKS; GENOME-WIDE ASSOCIATION STUDY; GENOMICS; HUMANS; MACHINE LEARNING; MICE; POLYMORPHISM, SINGLE NUCLEOTIDE; PROTEIN INTERACTION MAPS; ROC CURVE; WHOLE GENOME SEQUENCING;

EID: 85052884253     PISSN: 00928674     EISSN: 10974172     Source Type: Journal    
DOI: 10.1016/j.cell.2018.07.021     Document Type: Article

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