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!: <https://www.gotomeeting.com/register/625338501>
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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! <https://www.gotomeeting.com/register/625338501>
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