Report
Note: Workshop Summaries contain the opinion of the presenters, but do NOT reflect the conclusions of the IOM. Learn more about the differences between Workshop Summaries and Consensus Reports.
The correlation between genetic variations and variations in disease risk has been a subject of study for more than 100 years. Initially, research focused on single genes that give rise to rare genetic diseases such as cystic fibrosis or Huntington’s disease. With new studies, however, numerous associations have been found between genes and more common diseases, for example breast cancer, type II diabetes, coronary artery disease, asthma, and bipolar disorder. This rapidly advancing field of genomics has stirred great interest in “personalized” health care. The hope is that using genomic information in care will lead to reduced health care costs and improved health results, as preventive measures and treatments are tailored to patients’ genetic susceptibilities.
On February 12, 2009, the Institute of Medicine’s Roundtable on Translating Genomic-Based Research for Health hosted a workshop to examine how to evaluate the clinical use of genomic information and the impact of genetic information in caring for patients. The workshop addressed four central questions:
- What are the practical realities of creating systems to evaluate clinical use of genomic information?
- What different models could be used?
- What are the strengths and weaknesses of each model?
- How effectively can such systems address questions about health outcomes?
Other Reports by this Activity
Displaying: 3 of 7 Reports
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Integrating Large-Scale Genomic Information into Clinical Practice - Workshop Summary
As the technology and affordability of genomic sequencing continues to evolve and the clinical applications for genomics-based research increase, it is important to address how genomics data can best be integrated into the clinical setting. On July 19, 2011, the IOM’s Roundtable on Translating Genomic-Based Research for Health hosted a workshop to highlight and identify the challenges and opportunities in integrating large-scale genomic information into clinical practice. Challenges for realizing genomic medicine range from the analysis, interpretation, and delivery of genetic information to associated workforce, ethical, and legal issues.
Released: November 11, 2011
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Generating Evidence for Genomic Diagnostic Test Development – Workshop Summary
Ten years after the sequencing of the human genome, scientists have developed genetic tests that can predict a person’s response to certain drugs, estimate the risk of developing Alzheimer’s disease, and make other predictions based on known links between genes and diseases. However, genetic tests have yet to become a routine part of medical care, in part because there is not enough evidence to show they help improve patients’ health. The IOM held a workshop to explore how researchers can gather better evidence more efficiently on the clinical utility of genetic tests.
Released: May 6, 2011
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Establishing Precompetitive Collaborations to Stimulate Genomics-Driven Product Development - Workshop Summary
Despite the many basic research discoveries in genetics, relatively few gene-based treatments, drugs, or preventative measures have been developed. One way to bridge this gap may be for industry, academia, and government to develop partnerships that share resources while distributing risk. However, intellectual property protections and other barriers can inhibit collaborative efforts. The IOM held a workshop on July 22, 2010, to explore these issues and develop solutions.
Released: December 16, 2010
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