Electronic medical records may accelerate genome-driven diagnoses and treatments

Apr 01, 2010

A new study reveals an exciting potential benefit of the rapidly accumulating databases of health care information, the ability to make unprecedented links between genomic data and clinical medicine. The research, published by Cell Press in the April issue of the American Journal of Human Genetics, supports the idea that large scale DNA databanks linked to electronic medical record (EMR) systems provide a valuable platform for discovering, assessing and validating associations between genes and diseases.

"The deployment of EMRs offers the hope of improving routine care, not only by enhancing individual practitioner access to patient information but also by aggregating information for clinical research," explains senior study author Dr. Dan M. Roden from Vanderbilt University School of Medicine in Nashville Tennessee. "EMRs contain large populations with diverse diseases and have the potential to act as platforms for rapid and inexpensive creation of large inclusive patient sets."

Dr. Roden and colleagues in informatics and in genome science were interested in examining whether large biorepositories containing DNA samples linked to EMRs might be useful for discovering and incorporating new genotype-phenotype associations. "Implementing such a vision requires that major obstacles be overcome, including technological, computational, ethical, and financial issues and determining whether genomic information will meaningfully inform clinical decision making and health care outcomes," says Dr. Roden.

The researchers used BioVU, the Vanderbilt DNA databank, to detect known common genetic variants associated with five diseases: atrial fibrillation, , multiple sclerosis, and . It took only four months to generate a set of nearly 10,000 records from which the cases and controls were identified. Although the process of accessing and defining the samples was technically complex, for each of the five phenotypes, at least one previously reported genetic association was replicated.

These results support the use DNA resources coupled to EMR systems as a valuable tool for clinical research. "Our data demonstrate that phenotypes representing clinical diagnoses can be extracted from EMR systems, and support the use of DNA resources coupled to EMR systems as tools for rapid generation of large datasets required for replication of associations found in research and for discovery in genome science," concludes Dr. Roden.

Explore further: Researchers discover new gene responsible for traits involved in diabetes

More information: Ritchie et al.: “Robust Replication of Genotype-Phenotype Associations across Multiple Diseases in an Electronic Medical Record.” Publishing in the American Journal of Human Genetics, April 9, 2010.

add to favorites email to friend print save as pdf

Related Stories

Are we selling personalized medicine before its time?

Feb 06, 2009

We may be a long way off from using genetics to reliably gauge our risks for specific diseases, say researchers at the University of Pittsburgh Graduate School of Public Health in a study published on Feb. 5 in the online ...

Recommended for you

Gene variant that dramatically reduces 'bad' lipids

Sep 16, 2014

In the first study to emerge from the UK10K Project's cohort of samples from the general public, scientists have identified a rare genetic variant that dramatically reduces levels of certain types of lipids in the blood. ...

New diagnostic method identifies genetic diseases

Sep 16, 2014

People with genetic diseases often have to embark on an odyssey from one doctor to the next. Fewer than half of all patients who are suspected of having a genetic disease actually receive a satisfactory diagnosis. Scientists ...

User comments : 0