Simons Foundation: Autism Research Initiative - New Model Merges Data Streams to Boost Gene Discovery - Jessa Netting

 – September 23, 2013  –– 

A new statistical model pulls together information about inherited and spontaneous mutations in a single analysis to enhance the search for autism candidate genes. The method is called transmission and de novo association (TADA). Unlike traditional genetic analyses, which rely on algorithms that search for mutations in only one type of genetic data at a time, TADA can layer two or more sets of genetic data together, such as inherited and de novo mutations. "This stage of gene discovery is probably one of the most exciting times in autism research," says Joseph Buxbaum, MD, professor of psychiatry at the Icahn School of Medicine at Mount Sinai and a member of the research team.
-Dr. Joseph D. Buxbaum, Professor of Psychiatry, Neuroscience and Genetic and Genomic Sciences, Icahn School of Medicine
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