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Affymetrix and the Karolinska Institutet Announce Translational Medicine Strategic Alliance

Affymetrix Inc. (Nasdaq: AFFX - News) and Karolinska Institutet announced today that they have entered into a strategic alliance designed to improve healthcare by accelerating the translation of basic genetic research into tools for better diagnosis, prognosis, and treatment.

During the next five years the projects include genetic analyses and measurement of gene expression in patients with atherosclerosis, breast cancer, rheumatoid arthritis, asthma and dyslexia. These diseases affect a large number of patients worldwide. Systematic use of the genomic information obtained will enable development of new and better clinical methods and drugs hereby reducing mortality and improving quality of life for patients suffering from these diseases.

The Karolinska Institutet/Affymetrix Translational medicine research projects will use sufficiently large sample sizes to establish true clinical relevance of both gene expression and DNA sequence variation in key areas of unmet medical needs.

"Today we have access to a very broad range of population-based clinical materials and data, that we want to study in order to understand the importance of genetic factors for emergence and treatment of various diseases. The agreement enables us to perform these studies at an acceptable cost and we will also get access to new technology at an early stage. Our expectation is that this cooperation will help us to improve peoples health", said Professor Jan Carlstedt-Duke, dean of research at Karolinska Institutet.

"To improve human health, we need to shift the healthcare paradigm from diagnosing and treating existing diseases, to being able to predicting disease susceptibility and an individual's response to drugs," said Patrick Kelly, European Site Manager and Vice President, Affymetrix. "This is what personalized medicine is all about -- enabling clinicians to detect diseases earlier and manage them more effectively. We are excited about the potential of this ag
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Source:Affymetrix


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