Cincinnati Children’s Hospital Medical Center Develop Web-based Genomics Computational Resource
News Jan 25, 2007
Cincinnati Children’s Hospital Medical Center researchers, working in collaboration with researchers from the University of Cincinnati (UC) Academic Health Center at the Computational Medicine Center, have established a gene information resource designed to aid biomedical researchers in identifying small alterations in the human genome that are associated with individuals’ susceptibility to disease.
Developed with funding from the National Institute of Environmental Health Sciences (NIEHS) and the National Cancer Institute (NCI), the software called PolyDoms integrates the results of multiple genetic computational analyses and protein functional modeling.
According to researchers, the software can provide biomedical scientists with important information on the theoretical probability of changes in genomic sequence being disease-relevant and an indication of whether they warrant further clinical investigation.
"NIEHS is pleased to have supported this important research effort through a translational research program, Comparative Mouse Genomics Centers Consortium," said David A. Schwartz, M.D. director of the NIEHS.
"Having this computational tool available to researchers will help prioritize which genetic variation are most likely to alter the structure and function of a protein, and provides us with critical information related to disease susceptibility, progression, and targets for therapeutic interventions."
PolyDoms can offer researchers a single, highly versatile, web-based tool that integrates diverse biomedical research information concerning genetic influences of disease with computational predictions of the impact of genomic changes on protein structures and functions.
In treating inflammatory bowel disease (IBD), physicians can have a hard time telling which newly diagnosed patients have a high risk of severe inflammation or what therapies will be most effective. Now researchers report finding an epigenetic signature in patient cells that appears to predict inflammation risk in a serious type of IBD called Crohn’s disease.