Healthy Person's Genome Analyzed to Predict Risk for Diseases, Responses to Treatments
ScienceDaily (Apr. 30, 2010) — For the first time, researchers have used a healthy person's complete genome sequence to predict his risk for dozens of diseases and how he will respond to several common medications. The risk analysis, from the Stanford University School of Medicine, also incorporates more-traditional information such as a patient's age and gender and other clinical measurements. The resulting, easy-to-use, cumulative risk report will likely catapult the use of such data out of the lab and into the waiting room of average physicians within the next decade, say the scientists.
"The $1,000 genome is coming fast," said cardiologist Euan Ashley, MD, assistant professor of medicine, referring to the cost of sequencing all of an individual's DNA. "The challenge lies in knowing what to do with all that information. We've focused on establishing priorities that will be most helpful when a patient and a physician are sitting together looking at the computer screen."
Priorities that include whether a certain medication is likely to work for that particular patient, or if it's likely to have adverse side effects. Priorities that include ascertaining how a patient's obesity or smoking combine with his or her inherent genetic risk for -- or protection against -- heart attack or diabetes. In short, priorities that result in concrete clinical recommendations for patients based on a degree of data that has never existed before.
"We're at the dawn of a new age in genomics," said Stephen Quake, who is the Lee Otterson Professor of Bioengineering. "Information like this will enable doctors to deliver personalized health care like never before. Patients at risk for certain diseases will be able to receive closer monitoring and more frequent testing, while those who are at lower risk will be spared unnecessary tests. This will have important economic benefits as well, because it improves the efficiency of medicine."
http://www.sciencedaily.com/releases/2010/04/100429204658.htm