Dr Michael Holmes
|Tel||+44 (0)1865 743644|
BSc(Hons) MBBS MSc(Epidemiology) PhD MRCP
Senior Clinical Research Fellow in Cardiovascular Medicine
- Clinical Trial Service Unit and Epidemiological Studies Unit
Michael Holmes studied Medicine at University of St Andrews and University College London, graduating in 2005. Working in the NHS as a hospital physician, he held NIHR clinical academic posts including academic foundation year and an academic clinical fellowship in Clinical Pharmacology and Therapeutics/General Internal Medicine. Michael then undertook a Masters in Epidemiology at London School of Hygiene and Tropical Medicine and completed a PhD in Genetic Epidemiology at University College London. Following his PhD, he was Assistant Professor at University of Pennsylvania, Philadelphia, USA, where he investigated genetic determinants of clinical outcomes following organ transplantation.
Michael is a Senior Clinical Research Fellow in Cardiovascular Medicine at CTSU. He is working within the China Kadoorie Biobank (CKB) to investigate causal risk factors underpinning cardiovascular disease and cancer subtypes. Michael's expertise lies in using genetic variants to disentangle causality from confounding with the aim of improving understanding of disease aetiology and identifying novel therapeutic targets for disease prevention.
Cystatin C and Cardiovascular Disease: A Mendelian Randomization Study.
van der Laan SW. et al, (2016), J Am Coll Cardiol, 68, 934 - 945
Association of Lipid Fractions With Risks for Coronary Artery Disease and Diabetes.
White J. et al, (2016), JAMA cardiology
The relationship between body mass index and 10-year trajectories of physical functioning in middle-aged and older Russians: Prospective results of the Russian HAPIEE study
Hu Y. et al, (2016), Journal of Nutrition, Health and Aging, 1 - 8
Evaluation of type 2 diabetes genetic risk variants in Chinese adults: findings from 93,000 individuals from the China Kadoorie Biobank.
Gan W. et al, (2016), Diabetologia, 59, 1446 - 1457
Selecting instruments for Mendelian randomization in the wake of genome-wide association studies.
Swerdlow DI. et al, (2016), Int J Epidemiol