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Xun Tang

Associate Professor
tangxun@bjmu.edu.cn
Xueyuan Road 38, Haidian District, Beijing, China
Peking University

Personal profile

Dr. Xun TANG is an Associate Professor of Epidemiology at the School of Public Health, Peking University (PKU). He obtained his PhD degree in epidemiology at PKU (2008) and his Master of Health Science (MHS) degree in clinical research at Duke University (2013). His doctoral dissertation "Family-based Study on Genetic Epidemiology of Ischemic Stroke in Chinese" won the Nomination Award of the 2010 National Excellent Doctoral Dissertation of China (No. 2010007). Funded by the Fogarty International Center at the U.S. National Institutes of Health (NIH) Millennium Promise Awards, Dr. TANG received training in the Clinical Research Training Program at Duke during 2011-2013. After he returned to PKU in 2013, his research interests were centered on understanding the determinants of, and risk factors for non-communicable diseases (NCD) at the population level. His current research focuses on prevention and prediction of type 2 diabetes and cardiovascular diseases (especially ischemic stroke) through lifestyle and genetic factors. Dr. TANG served as Fellow on several professional societies, such as the Evidence-Based Medicine subcommittee of the Chinese Medical Doctor Association and the NCD Prevention and Control subcommittee of the Chinese Preventive Medicine Association. He is currently on the editorial board of Clinical Trials (Chinese Edition), which is the official journal of the Society for Clinical Trials (SCT).

Main research directions

Non-communicable Disease (NCD) Epidemiology, Genetic Epidemiology

Representative scientific research projects

1.Principal Investigator, Integrative pathway analysis and multi-locus genetic risk scores for the risk assessment of ischemic stroke in Chinese. Funded by the National Natural Science Foundation of China (Grant Number: 81573226) (2016/01-2019/12).

2.Co-Investigator, Research on risk-based health management by dynamic monitoring of the population: a case study in cardiovascular disease. Funded by the National Natural Science Foundation of China (Grant Number: 91846112) (2019/01-2019/12). (Principal Investigator: Prof. Pei Gao)

3.Co-Investigator, Prognostic model of survival for aortic dissection: from discovery to application. Funded by the Beijing Natural Science Foundation (Grant Number: 7182084) (2018/01-2020/12). (Principal Investigator: Prof. Pei Gao)

4.Principal Investigator, Integrative pathway analysis and family-based linkage and association studies of ischemic stroke susceptibility in Chinese. Funded by the Beijing Natural Science Foundation (Grant Number: 7162107) (2016/01-2018/12).

5.Co-Investigator, Cardiovascular risk prediction for the Chinese population using big data: from discovery to application. Funded by the National Natural Science Foundation of China (Grant Number: 91546120) (2016/01-2018/12). (Principal Investigator: Prof. Pei Gao)

6.Co-Investigator, Family-based cerebral and cardiovascular diseases cohort in Northern Chinese population. Funded by the National Natural Science Foundation of China (Grant Number: 81230066) (2013/01-2017/12). (Principal Investigator: Prof. Yonghua Hu)

7.Co-Investigator, Family-based study on the genetic susceptibility of ischemic stroke. Funded by the National Natural Science Foundation of China (Grant Number: 81172744) (2012/01-2015/12). (Principal Investigator: Prof. Yonghua Hu)

8.Principal Investigator, Combined design of family-based and case-control study on stroke genetics in Chinese population. Funded by the National Natural Science Foundation of China (Grant Number: 81102177) (2012/01-2014/12).

10 representative papers

1.Tang X, Zhang D, He L, Wu N, Si Y, Cao Y, Huang S, Li N, Li J, Dou H, Gao P*, Hu Y*. Performance of atherosclerotic cardiovascular risk prediction models in a rural Northern Chinese population: Results from the Fangshan Cohort Study. American Heart Journal. 2019; 211:34-44.

2.Zhang D#, Tang X#, Shen P, Si Y, Liu X, Xu Z, Wu J, Zhang J, Lu P, Lin H, Gao P*. Multimorbidity of cardiometabolic diseases: prevalence and risk for mortality from one million Chinese adults in a longitudinal cohort study. BMJ Open. 2019; 9:e024476. (# equal contributions)

3.Lin H#, Tang X#, Shen P, Zhang D, Wu J, Zhang J, Lu P, Si Y, Gao P*. Using big data to improve cardiovascular care and outcomes in China: a protocol for the CHinese Electronic health Records Research in Yinzhou (CHERRY) study. BMJ Open. 2018; 8:e019698. (# equal contributions)

4.Fang L#, Gao P#, Bao H, Tang X, Wang B, Feng Y, Cong S, Juan J, Fan J, Lu K, Wang N, Hu Y*, Wang L*. Chronic obstructive pulmonary disease in China: a nationwide prevalence study. Lancet Respiratory Medicine. 2018; 6(6):421-430.

5.Wang L#, Gao P#, Zhang M, Huang Z, Zhang D, Deng Q, Li Y, Zhao Z, Qin X, Jin D, Zhou M, Tang X, Hu Y*, Wang L*. Prevalence and Ethnic Pattern of Diabetes and Prediabetes in China in 2013. JAMA. 2017; 317(24):2515-2523.

6.Gao P, Tang X, Hu Y*. Prediabetes Prevalence in China – Reply. JAMA. 2017; 318(16):1612-1613.

7.Tang X, Laskowitz DT, He L, Ostbye T, Bettger JP, Cao Y, Li N, Li J, Zhang Z, Liu J, Yu L, Xu H, Hu Y*, Goldstein LB*. Neighborhood socioeconomic status and the prevalence of stroke and coronary heart disease in rural China: A population-based study. International Journal of Stroke. 2015; 10(3):388-395.

8.Wu N, Tang X, Wu Y, Qin X, He L, Wang J, Li N, Li J, Zhang Z, Dou H, Liu J, Yu L, Xu H, Zhang J, Hu Y*, Iso H*. Cohort profile: the fangshan cohort study of cardiovascular epidemiology in beijing, China. Journal of Epidemiology. 2014; 24(1): 84-93.

9.He L, Tang X, Song Y, Li N, Li J, Zhang Z, Liu J, Yu L, Xu H, Zhang J, Hu Y*. Prevalence of cardiovascular disease and risk factors in a rural district of Beijing, China: a population-based survey of 58,308 residents. BMC Public Health. 2012;12: 34.

10.He L#, Tang X#, Li N, Wu YQ, Wang JW, Li JR, Zhang ZX, Dou HD, Liu JJ, Yu LP, Xu HT, Zhang JG, Hu YH*. Menopause with cardiovascular disease and its risk factors among rural Chinese women in Beijing: a population-based study. Maturitas. 2012;72(2):132-138. (# equal contributions)