{"version":"1.0","type":"rich","provider_name":"Acast","provider_url":"https://acast.com","height":250,"width":700,"html":"<iframe src=\"https://embed.acast.com/$/1b454f3a-002e-540e-82a0-3e5bcb0b5da9/1306cb79-f2ac-47e2-a216-52dd170788e6?\" frameBorder=\"0\" width=\"700\" height=\"250\"></iframe>","title":"Leveraging large genomic datasets to illuminate the pathobiology of autism spectrum disorders","thumbnail_width":200,"thumbnail_height":200,"thumbnail_url":"https://open-images.acast.com/shows/61b9f3bd1a8cbe2b563cedcd/1674659784850-2ede8148bf53faf1cecfe09ee0fead3a.jpeg?height=200","description":"<p>The application of the study of genetics and the use of big data to identify patterns of inheritance as well as de novo mutations has had a dramatic impact on the field of Autism Spectrum Disorder research, and it offers pathways to a greater understanding of biological mechanisms, even potentially treatments. Matthew State, chair of the department of psychiatry at University of California San Francisco, and his colleagues wrote a review paper in the journal <em>Neuropsychopharmacology</em>, called “Leveraging large genomic datasets to illuminate the pathobiology of autism spectrum disorders.” Have a listen to learn more!</p>","author_name":"Springer Nature"}