Our research aims to determine (i) how pleiotropic genetic variation affects immune responses in health and disease and (ii) how immune cell composition and function can be resolved at the single-cell level in primary human tissues to help inform therapeutic strategies.
Comparing the genetic architecture of autoimmune diseases
Autoimmune diseases affect ~10% of the population worldwide and they have no cure. Currently available immunomodulatory drugs can help to alleviate symptoms, but have variable efficacy and can lead to severe side effects. Progress in identifying the genetic determinants of autoimmune and immune-mediated diseases is helping to improve our knowledge of the pathophysiological mechanisms that underlie these conditions. The key research interests of my group are to better understand the architecture of genetic predisposition across different autoimmune and immune-mediated diseases, and to explore the functional relevance and potential clinical utility of such cross-comparisons.
Assessing patterns of genetic association between autoimmune diseases to date reveals heterogeneity, but also a few key variants that are emerging as immunopathological foci. We aim to investigate shared molecular circuits and cellular mechanisms across conditions for the purpose of identifying immunological ‘hubs’ that may be targeted therapeutically via drug repositioning approaches.
A further aim is to interrogate the relationship between genetic variation and the spatiotemporal dynamics of immune cell responsiveness, and how this may parallel the spectrum of immune-mediated diseases spanning malignancies, autoimmunity and infections. Elucidating these relationships can have implications for precision medicine in the context of patient stratification, prognostication, and optimal drug dosaging to balance efficacy and side effects.
The Dendrou group is supported by the Wellcome Trust and the Royal Society through a Sir Henry Dale Fellowship.
Potential project areas: Autoimmunity, genetics, genomics, immunology, inflammation, single cells, gene regulation, spatial transcriptomics, imaging, precision medicine