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.
Author Correction: Multi-ancestry genome-wide association analyses improve resolution of genes and pathways influencing lung function and chronic obstructive pulmonary disease risk.
Shrine N. et al, (2023), Nat Genet
Genotyping and population characteristics of the China Kadoorie Biobank.
Walters RG. et al, (2023), Cell Genom, 3
BMI and Well-being in people of East Asian and European Ancestry: a Mendelian randomisation study
CHEN Z. and WALTERS R., (2023), Translational Psychiatry
Alcohol consumption and risks of more than 200 diseases in Chinese men.
Im PK. et al, (2023), Nat Med
Multi-ancestry meta-analysis identifies 5 novel loci for ischemic stroke and reveals heterogeneity of effects between sexes and ancestries
Surakka I. et al, (2023), Cell Genomics, 100345 - 100345