Associate Professor Robin Walters
MA, PhD, PgDip
Robin Walters completed degrees in Natural Sciences (Cambridge) and in Genetics (Liverpool) before working for 17 years on the biophysics, biochemistry and genetics of plant photosynthesis, first in Sheffield and then in Oxford. He then held a post as a Research Fellow at Imperial College London, where his work focussed on investigating the contribution of structural variation in the human genome to disease risk and phenotypic variation, with a particular focus on diabetes and obesity.
He joined the Clinical Trial Service Unit and Epidemiological Studies Unit in June 2012. As Senior Scientist in Statistical Genetics and Genetic Epidemiology for the China Kadoorie Biobank (CKB), he leads the establishment and development of CKB genomics resources, and directs diverse genomics research projects ranging from genome-wide association studies and contributions to large international consortia, to Mendelian randomisation and phenome-wide association studies for drug target prioritisation and assessment.
Current research interests focus using trans-ancestry analyses of multiple biobanks including UK Biobank to investigate the aetiology and genetic architecture of chronic diseases, with particular emphasis on cardiovascular diseases and their risk factors including adiposity, blood pressure, and blood lipids. He is co-lead of the Fine-Mapping and Trans-ancestry Meta-analysis Working Group of the Genetic Investigation of ANthropometric Traits (GIANT) consortium. He is also a member of the Board of Examiners for the MSc in Global Health Science and Epidemiology.
Improved prediction of fracture risk leveraging a genome-wide polygenic risk score
Lu T. et al, (2021), Genome Medicine, 13
Trans-ethnic Mendelian-randomization study reveals causal relationships between cardiometabolic factors and chronic kidney disease.
Zheng J. et al, (2021), Int J Epidemiol
The relative and attributable risks of cardia and non-cardia gastric cancer associated with H. pylori infection in China: a case-cohort study
YANG L. et al, (2021), Lancet Public Health
The genetic architecture of depression in samples with East Asian ancestry
WALTERS R. et al, (2021), JAMA Psychiatry
Genetic insights into biological mechanisms governing human ovarian ageing
WALTERS R. et al, (2021), Nature