Investigator Scientist

Aetiology of Diabetes and Related Metabolic Disorders, Nutritional Epidemiology

Left the Unit in 2017

Work and interests

Zheng Ye was an Investigator Scientist with a specific interest in genetics and nutrition in type 2 diabetes, who was a member of the Aetiology of Diabetes and Related Metabolic Disorders and the Nutritional Epidemiology programmes. Zheng left the Unit in March 2017.

Background and experience

Before joining the MRC Epidemiology Unit in March 2009, he held positions at the Cardiovascular Epidemiology Unit in the Department of Public Health and Primary Care at the University of Cambridge, Department of Computing at Imperial College London, Institute of Life Sciences at Swansea University, Max-Planck Institute for Molecular Genetics, and Wuhan Institute of Virology, Chinese Academy of Sciences.

Publications

• MRC Epidemiology Unit publications on the Publications Database

Selected publications

1. Ye Z, Haycock PC, Gurdasani D, Pomilla C, Boekholdt SM, Tsimikas S, Khaw KT, Wareham NJ, Sandhu MS, Forouhi NG. (2014) The Association Between Circulating Lipoprotein(a) and Type 2 Diabetes: Is It Causal? Diabetes 63(1): 332-342.
2. Ye Z, Gillson C, Sims M, Khaw KT, Plotka M, Poulton J, Langenberg C, Wareham NJ. (2013) The association of the mitochondrial DNA OriB variant (16184-16193 polycytosine tract) with type 2 diabetes in Europid populations. Diabetologia 56(9): 1907-1913.
3. Thompson A, Angelantonio ED, Sarwar N, Erqou S, Saleheen D, Dullaart RPF, Ye Z, Danesh J. (2008) Association of cholesteryl ester transfer protein genotypes with CETP mass and activity, lipid levels and coronary risk. JAMA, 299(23): 2777-2788.
4. Ye Z, Liu EHC, Higgins JPT, Keavney BD, Lowe GD, Collins R, Danesh J (2006) Seven haemostatic gene polymorphisms in coronary disease: meta-analysis of 66155 cases and 91307 controls. Lancet 367: 651-657.
5. Ye Z, Song H, Higgins JPT, Pharoah P, Danesh J (2006) Five glutathione s-transferase gene variants in 23,452 cases of lung cancer and 30,397 controls: meta-analysis of 130 studies. PLoS medicine 4(3): e91 (1-11).