Harnessing Large‐Scale Multi‐Omics Data for Risk Prediction and Deep Phenotyping of Valvular Heart Diseases in the General Population
Abstract
Research context
OpenAlex topics: Cardiac Valve Diseases and Treatments · Congenital heart defects research · Genetic Associations and Epidemiology
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Affiliations
Department of Epidemiology and Biostatistics School of Public Health Peking University Beijing China
Peking University Center for Public Health and Epidemic Preparedness & Response Beijing China
Ministry of Education Key Laboratory of Epidemiology of Major Diseases (Peking University) Beijing China
State Key Laboratory of Vascular Homeostasis and Remodeling Peking University Beijing China
Department of Family Medicine and Primary Care Li Ka Shing Faculty of Medicine The University of Hong Kong Hong Kong SAR China
Centre for Safe Medication Practice and Research Department of Pharmacology and Pharmacy Li Ka Shing Faculty of Medicine The University of Hong Kong Hong Kong SAR China
The Institute of Cardiovascular Science and Medicine Li Ka Shing Faculty of Medicine The University of Hong Kong Hong Kong SAR China
Advanced Data Analytics for Medical Science Limited Hong Kong SAR China
Department of Epidemiology School of Public Health and Tropical Medicine Tulane University New Orleans Louisiana USA
Department of Nutrition Harvard T.H. Chan School of Public Health Harvard University Boston Massachusetts USA
Ageing Epidemiology Research Unit School of Public Health Imperial College London London UK
Department of Non‐communicable Disease Epidemiology London School of Hygiene & Tropical Medicine London UK
Funding
National Key Research and Development Program of China · National Natural Science Foundation of China