Northwestern University

Thu 2:00 PM

DNA Technologies to Improve Diagnosis and Treatment of Autism Spectrum Disorders - Jonathan Sebat, PhD

When: Thursday, May 9, 2019
2:00 PM - 3:00 PM  

Where: Robert H Lurie Medical Research Center, Gray Seminar Room, 303 E. Superior, Chicago, IL 60611 map it

Audience: Faculty/Staff - Student - Public - Post Docs/Docs - Graduate Students

Contact: Michelle Mohney   312.503.5602

Group: Center for Autism and Neurodevelopment

Category: Lectures & Meetings


The Center for Autism and Neurodevelopment of Northwestern University Feinberg School of Medicine welcomes you to attend a lecture featuring:

Jonathan Sebat, PhD
Director, Beyster Center for Genomics of Psychiatric Disease
Professor of Psychiatry, Cellular and Molecular Medicine, and Pediatrics
Institute for Genomic Medicine
University of California, San Diego

Dr Jonathan Sebat is a leader in the field of psychiatric genetics, and an expert in the genomic characterization of autism by Whole Genome Sequencing (WGS). His research has made substantial contributions to our current knowledge of genome-wide patterns of germline mutation and the contribution of rare and de novo genetic variants to risk for common disease. His early research on patterns of structural genetic variation (SV) in the human genome led the initial discovery of the widespread abundance of SV in the human genome. Application of SV detection methods to neuropsychiatric disorders, including autism spectrum disorders and schizophrenia has served to elucidate the role of rare structural variants in neuropsychiatric disorders. Dr. Sebat is the Director of the Beyster Center for Psychiatric Genomics, where he leads an interdisciplinary team in the clinical and genomic analysis of patient cohorts at UCSD and Rady Children’s Hospital. In addition, he has led multiple large consortium efforts including as chair of the CNV analysis group for the Psychiatric Genomics Consortium and a co-lead investigator on the Human Genome Structural Variation Consortium (HGSVC) where his group has led interdisciplinary teams on the analysis of genomic and clinical datasets on large cohorts.

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