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Asthma gene clusters identified

eve will benefit patients, based on the use of novel algorithms and analysis from computational medicine. In this study, we show that asthma is controlled by two different genetic profiles. Now, in computational medicine, we will combine all of our clinical knowledge of disease with information from genetic and genomic data analyses. This, in turn, will lead to customized care based on a patient's personal needs," according to Bruce Aronow, PhD, co-director of the CMC and co-author of the study.

"Our ultimate goal is to provide physicians the data they need to prescribe the most effective medications, discover new therapies and to help prevent disease," he said.

Ultimately, Dr. Hershey's goal would be to identify gene profiles that are expressed during asthma that are exacerbated by different factors, such as exercise, viral infection or allergic triggers. In doing so, physicians will be in a better position to assess and treat a patient's asthma with greater precision.

"As we learn more about disease and how patients respond to treatment, we will eventually be able to develop customized therapy for patients with different gene expression profiles," she said.


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Source:Cincinnati Children's Hospital Medical Center


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