Textbook of Personalized Medicine - Second Edition [2015]

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associated with cancer in individual patients. The center’s aim for the future is that
a physician can run a simple test on a small tumor sample and use a quick genetic
analysis to tailor the best therapy for the patient as an individual.


Stanford Center for Genomics and Personalized Medicine


In 2010, Stanford University’s School of Medicine created a Center for Genomics
and Personalized Medicine designed to integrate genomics with medicine, as well
as draw on collaborations between Stanford’s basic scientists and clinical research-
ers, and on technologies developed in the Silicon Valley. The center l promotes
personalized medicine by building on research from the sequencing of the genome
of Stephen Quake, by using Heliscope single molecule sequencer and showing the
potential for use of the information obtained in assessing personalized disease sus-
ceptibility and responsiveness to drugs. The center blends highly effi cient, rapid
sequencing technology with the research and clinical efforts of experts in genomics,
bioinformatics, molecular genetic pathology and even ethics and genetic counseling
to bring advances from the laboratory to the patient. The center’s sequencing facil-
ity is already operating with new equipment estimated to increase its sequencing
capacity by about fi vefold while signifi cantly reducing the cost.


Stanford’s Pharmacogenetics Research Knowledge Base


Pharmacogenetics Research Network and Knowledge Base maintain PharmGKB
( http://pharmgkb.org/ ) at Stanford University. This program is funded by a grant
from the NIH and has the support of the academia, the regulated industry and regu-
latory agencies such as the FDA. This is an integrated resource about how variation
in human genes leads to variation in our response to drugs. Current studies include
the gene-drug effects associated with asthma, cardiac problems, and cancer; the
roles of genetic variability in drug response in ethnic populations; genetic differ-
ences and estrogen receptors; and the effects of gene variability on membrane trans-
porters, which interact with one-third of all prescription drugs. Consumers of the
new information will include pharmacogeneticists interested in the interaction of
particular drugs with phenotype and statisticians who are more broadly tackling the
phenotype-genotype problem. Genomic data, molecular and cellular phenotype
data, and clinical phenotype data are accepted from the scientifi c community at
large. These data are then organized and the relationships between genes and drugs
are then categorized into the following categories:



  • Clinical outcome

  • Pharmacodynamics and drug responses

  • Pharmacokinetics

  • Molecular and cellular functional assays

  • Genotype


Role of Academic Institutions in the US

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