The diabetes research group led by Prof Mark McCarthy (Robert Turner Professor of Diabetes) is based at both the Oxford Centre for Diabetes, Endocrinology and Metabolism (OCDEM) and the Wellcome Trust Centre for Human Genetics (WTCHG). This multidisciplinary research team includes clinicians, research nurses, laboratory-based research staff and computational biologists.

  • Susceptibility gene identification in type 2 diabetes and related phenotypes (including obesity and continuous measures of glycaemia) using large-scale genetic and genomic approaches. We are involved in the major international efforts to use large-scale genome wide association and next-generation sequencing efforts to map variants impacting on these phenotypes
  • Translating gene identification into biological insights and clinical advances. WE use a variety of approaches involving human, animal models and cellular systems to define the biological and clinical consequences of these discoveries.
  • Genomic epidemiology. We work to integrate genetic and genomic data to advance understanding of basic genomic processes.
  • Statistical genetics and bioinformatics. We seek to develop and apply new approaches to tackle analytical challenges.

We are leading members of several international consortia in the field of complex trait genetics including the WTCCC, ENGAGE, INTERACT, DIAGRAM, GIANT, MAGIC, SUMMIT, DIRECT, GoT2D, T2D-GENES and STEMBANCC. Within Oxford, we are active within the NIHR-funded Biomedical Research Centre. Our recent research has made a major contribution to advances in the understanding of the genetic basis of diabetes and obesity: in recent years, our work has featured in over 50 papers published in Science, Nature and Nature Genetics. Our major focus in the years ahead lies in expanding the spectrum of variation implicated in susceptibility to these and related conditions (with colleagues we are generating some of the largest sequence-based data sets worldwide) and in translating this genetic information into advances in functional understanding and clinical management.