From jlforsythe from goldenhelix.com Fri May 4 12:54:31 2007 From: jlforsythe from goldenhelix.com (JF) Date: Fri May 4 13:29:55 2007 Subject: [Genstructure] Webinar Event: Whole Genome Association Study of Schizophrenia Message-ID: <1178301271.593764.276500@h2g2000hsg.googlegroups.com> WHOLE GENOME ASSOCIATION OF SCHIZOPHRENIA A Golden Helix Webinar Presenter: Todd Lencz, Ph.D., Feinstein Institute for Medical Research Date: Wednesday, May 9th Time: 1:00pm ET Abstract: Dr. Lencz will discuss the various data management and analysis steps conducted in his recently published WGA study of schizophrenia. Register Now!: ---------------- Schizophrenia is a complex disease marked by high heritability (70-80%), yet few disease genes have been clearly identified and linkage studies have failed to converge. Whole genome association (WGA) is a promising, hypothesis-free approach to discovering novel genetic susceptibility loci for diseases such as schizophrenia. However, WGA entails numerous methodological challenges, including: - Management and manipulation of very large datasets - Multiple quality control procedures - Statistical analysis correcting for multiple comparisons. Join Todd Lencz, Ph.D., Senior Psychologist at The Feinstein Institute for Medical Research (FIMR), to learn how he and his team used Golden Helix' HelixTree software to overcome these difficult challenges on their quest to discover a novel gene that appears to increase the risk of developing schizophrenia. In a sample of 178 patients with schizophrenia and 144 controls, Dr. Lencz and his team of psychiatric researchers from FIMR utilized HelixTree software to analyze WGA data derived from Affymetrix 500K microarrays. They identified a novel susceptibility locus in the pseudoautosomal region of the X/Y chromosomes. The results were published last month in the high-impact journal, Molecular Psychiatry. In this webinar Dr. Lencz will walk through the data management and analytic steps conducted in HelixTree that helped make this discovery possible. Don't miss this opportunity to learn how you can apply these same technologies to accelerate your research! Register Now!