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In the trenches of systems medicine: Genomic risk scores and new biomarkers
If you have a question about this talk, please contact bk230.
While major advances have been made in using genomics for the clinical management of rare diseases and cancers, for many common diseases genomics plays a lesser yet still important role in aetiology. In this setting, genomic risk may useful for primary prevention where individuals are knowledgeable of their genetic predisposition, aware of how risk varies over time with biomarkers and lifestyle, and amenable to interventions which minimise modifiable risk factors. Toward this end, I will present recent work in quantifying genomic risk for various common diseases, including celiac disease and coronary heart disease, and in making genomic risk scores useful in risk management and subsequent diagnosis. To capture the time-varying component of disease risk we aim to integrate multiple omics layers to identify and characterise new biomarkers as well as construct multi-omic disease predictors. Here, I’ll present recent work in using omics data to map the blood metabolomic-transcriptomic interface as well as reveal the anti-microbial response associated with GlycA, an NMR -derived biomarker for severe infection and sepsis. Finally, using cohorts with metabolomics data and linked health-records, the GlycA NMR signal can be deconvoluted to identify the glycoprotein(s) which predictive specific causes of future hospitalisation and death.
This talk will be chaired by Dr Dirk Paul, University Lecturer in Integrative Human Genomics, Cardiovascular Epidemiology Unit
This talk is part of the Cambridge Cardiovascular Seminar Series series.
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