The UCLA CART Affinity Group presents a lecture on

Neuropsychiatric Phenomics
Robert M. Bilder, Ph.D., ABPP-CN
Professor of Psychiatry & Biobehavioral Sciences and Psychology
Chief of Medical Psychology/Neuropsychology
Director, Consortium for Neuropsychiatric Phenomics
UCLA Semel Institute for Neuroscience & Human Behavior

Friday, 12 October 2007
9:00 - 10:00 AM

The Seminar will be held in the Louis Jolyon West Auditorium, UCLA Semel Institute for Neuroscience & Human Behavior, Room #C8-183 (E6 on the Health Sciences sector of the UCLA Campus Map).

All are welcome!

For further information contact Candace Wilkinson at (310) 825-9041.

Speaker Information

Dr. Bilder has been engaged for over 20 years in research on the neuroanatomic and neuropsychological bases of major mental illnesses. His work has been presented in more than 100 peer-reviewed publications and 300 scientific presentations. Dr. Bilder's research focuses on interdisciplinary and translational research, and particularly on developing the new discipline of "phenomics" to enable the systematic study of neural system phenotypes on a genome-wide scale (see www.phenomics.ucla.edu). He directs the Consortium for Neuropsychiatric Phenomics under the aegis of the NIH Roadmap Initiative to identify and study the neural system phenotypes that offer the most promising targets for gene and drug discovery. He also is Co-PI of an NIMH-sponsored Center for Intervention Development and Applied Research (CIDAR) at UCLA, focusing on Translational Research to Enhance Cognitive Control particularly in children and adolescents.

Neuropsychiatric Phenomics: In the post-genomic era, attention is now focused on pursuit of the "human phenome project" (Freimer & Sabbati, 2003), the systematic investigation of phenotypes on a genome-wide scale. With support from the NIH Roadmap Initiative, we are establishing a Consortium for Neuropsychiatric Phenomics to examine memory and response inhibition phenotypes, using a combination of genome-wide association studies and basic research to examine mechanistic hypothesis, with additional projects developing novel methods for data mining and multi-level hypothesis representation, visualization, and analysis. The aim is to develop and test hypotheses relating genomic to syndromal levels specifically in the study of complex neuropsychiatric disorders.