- By Bob Nellis
Mayo Clinic to Study 10,000 Patients for Drug-Gene Safety
ROCHESTER, Minn. -- Mayo Clinic, in collaboration with Baylor College of Medicine, is planning to launch a study of 10,000 Mayo biobank members for potential risk of drug reactions or lack of drug effect based on each individual’s genome. Researchers will be sequencing the DNA of the biobank members for 69 different genes that can influence how patients’ metabolize or react to different drugs. The goal is to determine which “pharmacogenomic” findings are relevant to that individual patient and to insert that information into their medical records – providing an “early warning system” to prevent adverse drug reactions or ineffective treatments.
“This is a huge step toward bringing knowledge of pharmacogenomics into patient care,” says Richard Weinshilboum, M.D., Pharmacogenomics Program Director at Mayo Clinic’s Center for Individualized Medicine and the Mary Lou and John H. Dasburg Professor of Cancer Genomics. “Most importantly, it has the potential of preventing errors and identifying the most appropriate drugs and individualized treatments for thousands of patients – thanks to research on the human genome.”
Media Contact: Bob Nellis at Mayo Clinic Public Affairs: 507-284-5005 or firstname.lastname@example.org
The 10,000-person project is actually a double research study, as the Mayo Clinic Robert D. and Patricia E. Kern Center for the Science of Health Care Delivery Center for the Science of Health Care Delivery will also be analyzing the results long term to see if pharmacogenomic DNA sequencing and data in the medical records actually improves patient care. If so, this type of sequencing may become a routine approach in how Mayo Clinic practices medicine.
"This collaboration is a wonderful example of how a partnership between a Genome Center and a premier clinical group can speed the translation of valuable genomic tests into useful advances in patient care,” said Dr. Richard Gibbs, director of the Human Genome Sequencing Center at Baylor.
Under the collaboration, Baylor’s Human Genome Sequencing Center will conduct the sequencing and Mayo Clinic will integrate the data into the electronic health records and analyze the results. Baylor and Mayo will also study the sequencing data to identify novel genomic variants and ways to improve the testing process. The study will begin with a 500-person sample pilot to refine the testing process before moving on to the cadre of 10,000 patients.
This study would not be possible without the Mayo Clinic Biobank which includes not only DNA samples from patients, but also complete but de-identified medical histories for each biobank member to aid researchers in getting a complete picture of the impact of disease. It also builds on foundational research and experience gained through funding from the Pharmacogenomics Research Network, funded by the National Institute of General Medical Sciences at the National Institutes of Health – and from experience obtained via eMERGE, a national network organized and funded by the National Human Genome Research Institute that combines DNA biorepositories with electronic medical record systems for large scale, high-throughput genetic research in support of implementing genomic medicine.
About the Mayo Clinic Center for Individualized Medicine
The Mayo Clinic Center for Individualized Medicine is home to the Individualized Medicine Clinic, the world’s first integrated, multidisciplinary genomics clinic, serving patients with advanced cancer and diagnostic dilemmas. The center discovers and integrates the latest in genomic, molecular and clinical sciences into personalized care for each Mayo Clinic patient. Visit http://mayoresearch.mayo.edu/center-for-individualized-medicine/ for more information.
About Mayo Clinic
Mayo Clinic is a nonprofit organization committed to medical research and education, and providing expert, whole-person care to everyone who needs healing. For more information, visit http://www.mayoclinic.org/about-mayo-clinic or https://newsnetwork.mayoclinic.org/.