Mount Sinai Scientists Develop First Predictive Model of Inflammatory Bowel Disease

Mount Sinai Scientists Develop First Predictive Model of Inflammatory Bowel Disease
Using information from patient records at different stages of inflammatory bowel disease, New York scientists have developed the world's first gene-based predictive model of the disorder. An article on the model, titled “A functional genomics predictive network model identifies regulators of inflammatory bowel disease,” was published in the journal Nature Genetics. Previous studies had identified more than 200 genes that play a role in IBD, but the data was not in a form that would allow a research team to create a model that could predict the disorder's development and progression. Researchers at the Icahn School of Medicine at Mount Sinai in New York and other academic institutions used information on three groups of patients at different stages of their disease to design the computer-based predictive model. The model takes into account the complex network of biological pathways involved in IBD's immune response. This means its key focus is mechanisms that regulate the disease. In addition to patients' treatment records, researchers used information on their DNA variations, gene expression, and the mechanisms that regulate their disease to create the model. Expression is the process by which a gene creates a functional product such as a protein. "These results demonstrate how much we stand to gain by organizing massive amounts of molecular and clinical data using advanced machine learning approaches that in turn can be queried to generate novel disease insights," Eric Schadt, the Icahn School of Medicine's dean for Precision Medicine, said in a
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