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New grants for post-doc positions 

The stearing committee of EpiHealth has decided on four grants for post-doc positions over two years for projects using the EpiHealth database.

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Shafqat Ahmad.

One of the grants goes to Dr Shafqat Ahmad, researcher at the Molecular Epidemiology Unit, Department of Medical Sciences, Uppsala University.

What is your research about?

- My research focuses on understanding cardiometabolic disease development. My research combines methods from the molecular and genetic epidemiology field including biochemistry, genomics, metabolomics, microbiota with relation to dietary and other lifestyle factors in large scale population-based studies to better understand the pathophysiology of cardiovascular disease and type 2 diabetes to improve disease prediction.

How do you plan to move forward with your research during these two years?

- The overall aim of this proposed project is to identify dietary meat-associated metabolomic and proteome biomarkers and study them in causal association with future cardiovascular disease risk using large scale epidemiological data. Through using large scale and deeply phenotyped data related to nuclear-magnetic resonance imaging-based metabolomics, Olink based proteome, genome-wide genotyping and validated dietary meat intake in relation to cardiocvascular disease risk, the current project has the key aspects of precision medicine, so, will likely leads to the identification of biomarkers that predict response to meat intake and has the potential to use in clinical practice in future.




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Miklos Lipcsey.

Aims to find genes and proteins

Another grant is awarded Miklos Lipcsey, researcher at the Department of surgical sciences, Uppsala University, whose research area is on severe infection diseases treated in intensive care.

For this specific project he is going to retrieve data from Epihealth and other registries and then perform genetic epidemiologic analysis to identify which inherited factors and which mechanisms lead to severe infections.

- In some patients, bacterial infections cause severe illness that in many cases can lead to death. This project will identify the mechanisms behind severe illness due to infections, using methods to find the genes and proteins involved. This new knowledge may help prevention and treatment of severe bacterial infections.