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Research Training Group

genes, environment, inflammation

Within this Research Training Group we will study the environmental influences responsible for the development of complex, chronic diseases. Moreover, we will systematically examine the previously understudied interplay between the (micro)-environment and predisposing genetic factors...

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Research

The scientists in the Research Training Group (RTG) want to find out

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  • how the non-genetical schemes in the cell change during the development of chronic inflammatory diseases;
  • how diet influences the development of inflammatory diseases;
  • new statistical and bioinformatical ways to express research results.

People

a team of young and innovative scientists who are experts in the fields of:

  • molecular biology
  • human genetics
  • immunology
  • bioinformatics
  • biochemistry
  • microbiology
  • epidemiology
  • statistics.

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Education

The purpose of the structured doctoral student programme is to:

  • enable young scientists to obtain their doctoral degree within three years;
  • qualify doctoral students for postdoctoral work;
  • impart interdisciplinary knowledge;
  • promote postgraduate students' transferrable skills.

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Latest News

23 Aug, 2016
First International Symposium on Systems Medicine of Chronic Inflammatory Disorders

 

In the past 10 years we have seen a wealth of research into the genetic architecture of chronic inflammatory diseases. Entire genetic risk maps and a plethora of pathways have been discovered, following the description of the first disease genes. However, it has become clear that on very rare occasions this genetic and pathophysiological knowledge can be directly transported into clinical translation. The new field of Systems medicine, which in Germany is fostered through the BMBF e:Med research initiatives and funding measures, aims to integrate layers of deregulation into account and aims to create a multidimensional model from longitudinal prospective observation. Understanding the actionable CID subphenotypes to predict progression and individual therapeutic targets requires the integration of molecular information across multiple scales from pathways to cells and tissues. The importance of the entire field will depend on our efforts to bring the wealth of findings back into clinically actionable applications.
Preliminary agenda

This symposium is directly following the Annual e:Med Meeting on Systems Medicine 2016 in Kiel (4-6 October, 2016).