Ming Ding

Research Fellow

Department of Nutrition

655 Huntington Avenue
Building 2, Room 316
Boston, MA, 02115

Bachelor of Medicine (Preventive Medicine) 2009, Peking University, China
M.Sc. (Nutritional Biochemistry) 2011, Peking University, China
D.Sc. (Nutrition and Epidemiology) 2016, Harvard University

Ming Ding’s research interests include:
1. Lifestyle, genetics, and lipidomics in prevention of cardiometabolic diseases.
2. Early-life risk factors of cardiometabolic diseases. My research focuses on understanding grand-maternal lifestyle factors in the development of obesity in the offspring by adopting a three generation study design (NHS mother cohort-NHSII-GUTS).
3. Methodology in cardiovascular epidemiology. I am PI of an NIH R03 grant, and my research focuses on developing a mixture model allowing for smoothing functions of trajectories and applying it to examine associations of trajectories of lifestyle factors with healthy aging and longevity.

Selected publications
Lifestyle and Cardiometabolic Diseases
1. Ming Ding, Shilpa N Bhupathiraju, Ambika Satija, Rob van Dam, Frank B Hu. Long-Term Coffee Consumption and Risk of Cardiovascular Disease: a Systematic Review and a Dose-response Meta-analysis. Circulation 2014; 129(6):643-59. (Circulation Best Paper Award in Population Science in 2015)
2. Ming Ding, Ambika Satija, Shilpa N Bhupathiraju, Qi Sun, Jiali Han, Esther Lopez-Garcia, Walter Willett, Rob M. van Dam, Frank B. Hu. Association of Coffee Consumption With Total and Cause-Specific Mortality in 3 Large Prospective Cohorts. Circulation 2015; 132(24): 2305-15
3. Ming Ding, Jun Li, Lu Qi, Christina Ellervik, Xuehong Zhang, JoAnn E Manson, Meir Stampfer, Jorge E Chavarro, Kathryn M Rexrode, Peter Kraft, Daniel Chasman, Walter C Willett, Frank B Hu. Associations of Dairy Intake with Risk of Mortality in U.S. Women and Men: a Pooled Analysis of Three Prospective Cohort Studies. British Medical Journal 2019;367:l6204 (NCI EGRP’s 2019 Research Highlights)

Genetics, Lipidomics, and Cardiometabolic Diseases   
1. Ming Ding*, Tao Huang*, Helle KM Bergholdt*, 69 coauthors from the Mendelian Randomization of Dairy Consumption Working Group, Børge G Nordestgaard*, Christina Ellervik*, Lu Qi*. Dairy consumption, systolic blood pressure, and risk of hypertension: Mendelian randomization study. British Medical Journal 2017; 356: j1000  *contributed equally to this paper
2. Ming Ding, Jessica Lasky-Su, Kathryn M. Rexrode, I-min Lee, Clary Clish, A Heather Eliassen, Walter Willett, Frank B. Hu, Peter Kraft. Metabolome-wide Association Study with Habitual Physical Activity in Four Prospective Cohort Studies. American Journal of Epidemiology. 2019; pii: kwz171. doi: 10.1093/aje/kwz171. (Best of AHA Specialty Conferences in 2019).

1. Ming Ding, Yang Hu, Joel Schwartz, Woon-Puay Koh, Jian-Min Yuan, Howard D. Sesso, Jing Ma, Jorge Chavarro, Frank B. Hu, An Pan. Delineation of body mass index trajectory predicting lowest risk of mortality in U.S. men using generalized additive mixed model. Annals of Epidemiology 2016; 26(10):698-703.e2.
2. Ming Ding, Shafqat Ahmad, Lu Qi, Yang Hu, Shilpa N. Bhupathiraju, Marta Guasch-Ferré, Majken K. Jensen, Jorge E. Chavarro, Paul M. Ridker, Walter C. Willett, Daniel I. Chasman, Frank B. Hu, Peter Kraft. Additive and Multiplicative Interactions between Genetic Risk Score and Family history and Lifestyle in Relation to Risk of Type 2 Diabetes. American Journal of Epidemiology. 2019; kwz251. doi: 10.1093/aje/kwz251.     
3. Ming Ding, Jorge Chavarro, Garrett Fitzmaurice. Development of a mixture model (SMM) allowing for smoothing functions of trajectories. Statistical methods in medical research. 2020; doi: 10.1177/0962280220966019

A full list of my publications could be found here.