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Never Let the Important Become Urgent: A reflection on the genetics supply chain and our need to increase value to the end patient
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Achieving Genome-Wide Success Part III: Quality Assurance and Data Prep in SNP and CNV Studies
Presenter: Dr. Christophe Lambert, Golden Helix CEO and Co-Chair of the FDA MAQC CNV Team
Date: December 9th, 2009
Duration: 80 min.
ACCESS THIS WEBCAST:
Abstract
White Paper: Advanced Genotyping and Imputation
Learn how our state-of-the-art advanced genotyping and imputation solutions, using BEAGLE and BEAGLECALL, can increase the power of your study,improve association results, and reduce the scope of followup fine-mapping efforts.
Data preparation and quality assurance are arguably the most important aspects of genome-wide association studies...and definitely the most arduous. Your choice of methods can be the difference between success or failure. But with hundreds of new methods published each year, how do you know which to employ for a given study and ascertainment condition?
Join us for Part 3 of this educational webcast series as Dr. Lambert examines a number of effective data prep and QA methods that will help you get more meaningful results without all the headaches.
Topic include:-
SNP-Based Sample QC (call rates, X heterozygosity, Nsp-Sty mismatches, cryptic relatedness and contamination, population stratification)
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CNV-Based Sample QC (derivative log ratio spread, wave effects, outliers, cell line artifacts, segment over/under abundance, gender check)
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Correcting Batch Effects and Population Stratification
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SNP Filtering
Register today and learn how you can achieve genome-wide success with the latest in data prep and quality assurance methods.
About the Presenter
Dr. Christophe Lambert is the Chairman and CEO of Golden Helix, Inc., a bioinformatics company he founded in Bozeman, MT in 1998. Dr. Lambert graduated with his Bachelors in Computer Science from Montana State University in 1992 and received his Ph.D. in Computer Science from Duke University in 1997. Dr. Lambert is also currently the co-chair of the Food and Drug Administration’s Genome Wide Copy Number Variation Data Analysis Team of the Microarray Quality Control Consortium.
