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Carnegie Mellon University

Carnegie Mellon develops innovative method to detect genetic causes of complex diseases

Published in Genetics and Environmental Health Week, September 2nd, 2009

Computational biologists at Carnegie Mellon University have developed an analytical technique to detect the multiple genetic variations that contribute to complex disease syndromes such as diabetes, asthma and cancer, which are characterized by multiple clinical and molecular traits.

Rather than searching one at a time for genetic alterations that cause a particular symptom or trait, as in most conventional approaches, the Carnegie Mellon scientists use a statistical method that enables them to uncover genome variations underlying an entire regulatory network of genes or traits that are responsible for complex diseases. Professor Eric P. Xing and postdoctoral scientist...

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