The most prevalent and costly diseases affecting the industrialised world today are the result of complex interactions between patients’ genetic profiles and their environments. These diseases also tend to increase in prevalence and severity with age. We combine fundamental medical research (for ageing and diet-associated metabolic perturbations), with basic science (for systems biology approaches) to develop fundamental hypotheses regarding the molecular causes of metabolic diseases.<\/p>\n<\/div>\n\n\n\n
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To this end, we examine how natural genetic variation across populations have diverging incidence of metabolic diseases and combine this with knowledge of individuals\u2019 environments and lifestyles. To understand the molecular basis of these diseases, we take a multi-omics approach to analyse tissue samples over time to identify when, where, and how the diseases arise.
This approach has two main goals. (1) Understanding the aetiology of complex metabolic diseases (biomarkers, risk or protective factors, potential treatment pathways); and (2) to improve mathematical models of the intertwined molecular relationships connecting DNA, environment, and disease.<\/p>\n<\/div>\n<\/div>\n<\/div><\/div> <\/div>\n <\/div>\n<\/section>\n\n\n\n
\nOur research projects<\/h2>\n\n\n\n
Our research projects are at the intersection of molecular biology, metabolism, data science, and bioinformatics. In particular, how do changes in the DNA affect expression of RNA, activity of proteins, and levels of metabolites, and how do these minute changes lead to clinical consequences?<\/p>\n\n\n\n