Synthetic Biology for Improved Personalized Medicine
Author(s) -
Steven A. Benner,
Shuichi Hoshika,
Makoto Sukeda,
D. Hutter,
Nuno Leal,
Zunyi Yang,
F. Chen
Publication year - 2008
Publication title -
nucleic acids symposium series
Language(s) - Uncategorized
Resource type - Journals
eISSN - 1746-8272
pISSN - 0261-3166
DOI - 10.1093/nass/nrn123
Subject(s) - personalized medicine , genomics , obstacle , inheritance (genetic algorithm) , process (computing) , data science , computer science , computational biology , genome , biology , bioinformatics , genetics , gene , operating system , political science , law
Tools to re-sequence the genomes of individual patients having well described medical histories is the first step required to connect genetic information to diagnosis, prognosis, and treatment. There is little doubt that in the future, genomics will influence the choice of therapies for individual patients based on their specific genetic inheritance, as well as the genetic defects that led to disease. Cost is the principle obstacle preventing the realization of this vision. Unless the interesting parts of a patient genome can be resequenced for less than $10,000 (as opposed to $100,000 or more), it will be difficult to start the discovery process that will enable this vision. While instrumentation and biology are important to reducing costs, the key element to cost-effective personalized genomic sequencing will be new chemical reagents that deliver capabilities that are not available from standard DNA. Scientists at the Foundation for Applied Molecular Evolution and the Westheimer Institute have developed several of these, which will be the topic of this talk..
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