Princeton researchers identify autism genes using new approach

IMAGE: Arjun Krishnan, an associate research scholar at Princeton University, and his colleagues have developed a machine-learning approach that for the first time analyzes the entire human genome to predict which… view more Credit: Princeton University Princeton University and Simons Foundation researchers have developed a machine-learning approach that for the first time analyzes the entire human genome to predict which genes may cause autism spectrum disorder, raising the number of genes that could be linked to the disorder from 65 to 2,500. The findings will appear in the journal Nature Neuroscience. A PDF of the study is available on request. ASD is a complex neurodevelopment disorder with a strong genetic basis, but only about 65 autism genes out of an estimated 400 to 1,000 have been found through sequencing studies. Because…


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