Pei Gao

Research Fellow
peigao@bjmu.edu.cn
Xueyuan Road 38, Haidian District, Beijing, China
Peking University

Personal profile

2019 Leading talent of technological innovation, National special support program for high-level personnel recruitment

2018 Leading talent of technological innovation, Ministry of science and technology, China

2018 Wang Xuan Young Scholar award, Peking University

2018-present Principle Investigator, Key Laboratory of Molecular Cardiovascular (Peking University), Ministry of Education, Beijing, China

2014-present Research Fellow, School of Public Health, Peking University

2008-2013 Research Associate / Medical Statistician, Department of Public Health & Primary Care, University of Cambridge, UK

2007-2008 Research Associate, School of Computer Science, University Manchester

2007 PhD, Probabilistic Modelling, Newcastle University, UK

2003 MSc., Communication and statistical signal processing, Newcastle University, UK

2002 BEng., Electronic Information and control engineering, Beijing University of Technology

Current boards or governance roles:

Member, Epidemiology Group of the Eighth Committee of the Chinese diabetes society

Vice Chairman, Health Management Professional Committee of China Medicine Education Association

Main research directions

My research interests have focused on three broad topics: (1) epidemiology of chronic diseases, particularly diabetes and cardiovascular diseases; (2) risk prediction and screening; (3) statistical methods in medical research, especially in big data analytics.

Representative scientific research projects

2019: PI, Research on risk-based health management by dynamic monitoring of the population: a case study in cardiovascular disease, funded by National Natural Science Foundation of China. 200,000 RMB.

2016-2018: PI, Cardiovascular risk prediction for the Chinese Population using big data: from discovery to application. Funded by National Natural Science Foundation of China, 420,000 RMB.

2018-2020: PI, Prognostic model of survival for aortic dissection: from discovery to application, funded by Beijing Natural Science Foundation, China, 200,000 RMB.

2016-2019: Co-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 ,Funded by National Natural Science Foundation of China, 500,000 RMB.

2017-2020: Leader for statistical analysis, Key Technology and Application Strategies of Nutrition and Behaviour Intervention in Cardiovascular Diseases. Funded by Ministry of science and technology, China, 10.3 million RMB

2017-2019: Leader for statistical analysis, Molecular Classification and Diagnosis of Aortic Aneurysm and Dissection. Funded by Ministry of science and technology, China, 3.2 million RMB

10 representative papers

1.Yuan Wang, Xin Tan, Hai Gao, Hui Yuan, Rong Hu, Lixin Jia, Junming Zhu, Lizhong Sun, Hongjia Zhang, Lianjun Huang, Dong Zhao, Pei Gao*, Jie Du*, Magnitude of soluble ST2 as a novel biomarker for acute aortic dissection, Circulation, 2018 Jan 16;137(3):259-269.

2.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.

3.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. The Lancet Respiratory medicine, 2018 Jun;6(6):421-430.

4.Tian Y, Liu H, Si Y, Cao Y, Song J, Li M, Wu Y, Wang X, Xiang X, Juan J, Chen L, Wei C, Gao P*, Hu Y*, Association between temperature variability and daily hospital admissions for cause-specific cardiovascular disease in urban China: A national time-series study, PLoS Med. 2019 Jan 28;16(1):e1002738.

5.Tian Y, Liu H, Zhao Z, Xiang X., Li M., Juan J., Song J., Cao Y., Wang X., Chen L., Wei C., Hu, Y. *, Gao, P. *, Association between ambient air pollution and daily hospital admissions for ischemic stroke: A nationwide time-series analysis. PLoS Med 2018;15(10):e1002668.

6.Global BMI Mortality Collaboration, Body-mass index and all-cause mortality: individual-participant-data meta-analysis of 239 prospective studies in four continents. Lancet. 2016 Jul 13, 2016 Aug 20;388(10046):776-86. (Joint first author).

7.E Di Angelantonio*, P Gao*, Hassan Khan*, Adam S. Butterworth*, et al, J Danesh, Glycated Hemoglobin Measurement and Prediciton of Cardiovascular Disease, JAMA, 2014, 311(12), 1225-33.

8.E Di Angelantonio*, P Gao*, L Pennells*, S Kaptoge*, et al, J Danesh. Lipid-related markers and cardiovascular disease prediction. JAMA, 2012; 307:2499-2506.

9.N Sarwar*, P Gao*, SR Kondapally Seshasai*, R Gobin*, et al, J Danesh, "Diabetes mellitus, fasting blood glucose concentration, and risk of vascular disease: a collaborative meta-analysis of 102 prospective studies", Lancet, 375(9733): 2215-2222, 26 June 2010.

10.Hongbo Lin, Dudan Zhang, Peng Shen, Zhe Xu, Yaqin Si, Xun Tang, Pei Gao, Multimorbidity and Risk of Mortality in China: Results From the Chinese Electronic Health Records Research in Yinzhou (CHERRY) Study, Circulation. 2017;135:AP166.