You are currently viewing the editor's summary.
View Full TextLog in to view the full text
AAAS login provides access to Science for AAAS members, and access to other journals in the Science family to users who have purchased individual subscriptions.
Register for free to read this article
As a service to the community, this article is available for free. Existing users log in.
More options
Download and print this article for your personal scholarly, research, and educational use.
Buy a single issue of Science for just $15 USD.
Is It All in Your Genes?
Imagine that everyone at birth could have their whole genome sequenced at negligible cost. Surely, this must be a worthwhile endeavor, given the list of luminaries that have already had this sequencing completed. But how well will such tests perform? Will we be able to predict what diseases individuals will develop, and die from, right from birth?
In a study that seeks to answer these questions, Vogelstein and his colleagues present an unbiased assessment of the capacity of whole-genome sequencing to provide clinically relevant information assuming that future research will allow us to understand the significance of every genetic variant. Using previously published data on twins and a new mathematical framework, Vogelstein and his co-workers were able to estimate the maximum capacity of whole-genome sequencing to predict the risk for 24 relatively common diseases. They show that most of the tested individuals could be alerted to a predisposition to at least one disease. However, in any given individual, whole-genome sequencing will be relatively uninformative for most diseases, because the estimated risk of developing these diseases will be similar to that of the general population. Thus, for most patients, genetic testing will not be the dominant determinant of patient care and will not be a substitute for preventative medicine strategies incorporating routine checkups and risk management based on the history, physical status, and life-style of the individual.
- Copyright © 2012, American Association for the Advancement of Science