Pharmacogenetics Clinical Trial
Official title:
The Implementation of Pharmacogenomics Into Primary Care in British Columbia
Certain parts of the gene can predict how an individual person will respond to medication (pharmacogenetics). We will invite 250 individuals to give a sample of saliva. This sample will be sent to a laboratory for limited genomic analysis relating to pharmacogenetics. When personal data held by the participants, family physician, or pharmacist is joined with the genetic data personalized prescription recommendations are formed. The family physicians/pharmacists can view these recommendations through their electronic record. This should result in prescriptions that may be more beneficial and cause fewer adverse events.
We wish to develop and test a decision support tool, TreatGx. Using genetic information
(single nucleotide polymorphisms - SNPs) and patient biophysical characteristics this tool
creates drug and dose recommendations.
Each year in Canada, there are approximately 200,000 severe adverse drug events, claiming
10,000 to 22,000 lives, and costing $13.7 to $17.7 billion. Physicians cannot predict
whether a patient will gain the desired benefit from a prescribed medication or whether they
will experience harmful side effects. Genetic tests may reduce this potential harm for many
medications; however there is currently no way of incorporating genetic information into
routine prescribing processes.
We see a need to pilot test a, genetic based, prescribing decision support (TreatGx) for
feasibility and usability.
Five Family Physicians and one pharmacy will be invited to participate. They will be
requested to identify a total of 250 adults with chronic diseases to participate in the
study.
Each participant will be invited to give a saliva sample for the SNP test. This sample will
be sent to the laboratory for genetic testing; whole genome testing is not being undertaken.
We have identified from published evidence a small panel of SNPs that will give information
to guide prescribing. A genetic report will be fed back into the family physician's or
pharmacist's electronic health record. The electronic health record will be linked to
TreatGx; the next time the participant is seen by the family physician/pharmacist
prescribing recommendations will be available for use. The family physician will be able to
use TreatGx to give the participant a prescription that is personalized.
We will track how many times the system is used, gain feedback on usability, record timing
between receiving samples, time to the laboratory, time to analysis, and time to electronic
record.
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Intervention Model: Single Group Assignment, Masking: Open Label, Primary Purpose: Health Services Research
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