Large Cohort Study Program
Progress in research of family-based cohort study on common chronic non-communicable diseases in rural population in northern China
Mengying Wang, Xun Tang, Xueying Qin, Yiqun Wu, Jin Li, Pei Gao, Shaoping Huang, Na Li, Dongli Yang, Tao Ren, Tao Wu, Dafang Chen, Yonghua Hu
Published 2018-01-10
Cite as Chin J Epidemiol, 2018, 39(1): 94-97. DOI: 10.3760/cma.j.issn.0254-6450.2018.01.020
Abstract
Family-based cohort study is a special type of study design, in which biological samples and environmental exposure information of the member in a family are collected and related follow up is conducted. Family-based cohort study can be applied to explore the effect of genetic factors, environmental factors, gene-gene interaction, and gene-environment interaction in the etiology of complex diseases. This paper summarizes the objectives, methods and results, as well as the opportunities and challenges of the family-based cohort study on common chronic non-communicable diseases in rural population in northern China.
Key words:
Hypertension; Stroke; Diabetes mellitus; Family-based cohort study
Contributor Information
Mengying Wang
Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing 100191, China
Xun Tang
Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing 100191, China
Xueying Qin
Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing 100191, China
Yiqun Wu
Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing 100191, China
Jin Li
Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing 100191, China
Pei Gao
Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing 100191, China
Shaoping Huang
General Office, Fangshan District Center for Disease Control and Prevention, Beijing 102401, China
Na Li
General Office, Fangshan District Center for Disease Control and Prevention, Beijing 102401, China
Dongli Yang
General Office, Fangshan District Health Bureau, Beijing 102401, China
Tao Ren
Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing 100191, China
Tao Wu
Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing 100191, China
Dafang Chen
Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing 100191, China
Yonghua Hu
Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing 100191, China
