I am interested in understanding the genetic determinants of type 1 diabetes, with a particular interest in identifying any genetic association that is particularly predisposing to early-diagnosed type 1 diabetes, the most aggressive form of the disease. Another main focus is on fine-mapping disease associations using large datasets and datasets including cases and controls of diverse ancestry in order to refine association signals.
I started working at the DIL in October 2015. Prior to that, I worked at the MRC Clinical Trials Unit at UCL as a clinical trials statistician working on pediatric HIV trials. I have a degree in Mathematics with Economics from Loughborough University, a Masters in Biometry from the University of Reading, and recently shortly completed a DPhil in Clinical Medicine from the University of Oxford.
Genetic Variants Predisposing Most Strongly to Type 1 Diabetes Diagnosed Under Age 7 Years Lie Near Candidate Genes That Function in the Immune System and in Pancreatic β-Cells.
Inshaw JRJ. et al, (2020), Diabetes care, 43, 169 - 177
The impact of proinflammatory cytokines on the β-cell regulatory landscape provides insights into the genetics of type 1 diabetes.
Ramos-Rodríguez M. et al, (2019), Nature genetics, 51, 1588 - 1595
An integrated platform to systematically identify causal variants and genes for polygenic human traits
Downes DJ. et al, (2019)
A genome-wide search for genes affecting the age-at-diagnosis of type 1 diabetes
Syreeni A. et al, (2019), DIABETOLOGIA, 62, S108 - S108
Genetic association analysis of type 1 diabetes in > 60,000 ancestrally diverse subjects: refinement of existing association signals and discovery of novel type 1 diabetes risk loci
Rich SS. et al, (2019), DIABETOLOGIA, 62, S107 - S107