STANFORD, Calif. - Previously hidden obesity-related genes have been uncovered from old experiments by researchers at the Stanford University School of Medicine and Lucile Packard Children's Hospital. The finding suggests that useful information about many medical disorders may be languishing in mountains of discarded data.
"We've devised a fairly simple way to convert large amounts of existing raw data into candidate disease genes for further genetic study," said Atul Butte, MD, PhD, a pediatrician at Packard Children's and director of the hospital's Center for Pediatric Bioinformatics. "When we put the information together, we were not only able to pinpoint those that have already been identified, but we also came up with some very interesting new predictions."
The investigators teased out the existence of more than a dozen new obesity-related genes by comparing the results of 49 independent experiments conducted by other researchers - none of which had yielded similar results on their own.
Butte, who is also an assistant professor of medicine and of pediatrics at the medical school, plans to investigate the biological roles of the new genes soon. The research appears in the Oct. 5 advance access section of the journal Bioinformatics.
Identifying novel genetic culprits for complicated diseases like obesity, diabetes and autism is tricky. Unlike cystic fibrosis, which is caused by a mutation in just one gene, these conditions are often the result of a "perfect storm" of interacting genes and environmental factors. This complexity leaves researchers with limited time to pursue only their most promising results, leaving other candidates behind.
Managing the unused data can be extremely challenging. Microarray or gene-chip experiments, for example, generate tens of thousands of pieces of information. Because most scientific journals require the authors to submit all of their data to publicly available international
|Contact: Robert Dicks|
Stanford University Medical Center