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Methodologic approaches researchers have used to overcome challenges and address opportunities associated with GWAS
Tuesday, November 9, 2010
: 2:45 PM - 3:00 PM
Siiri Bennett, MD
,
Collaborative Health Studies Coordinating Center, University of Washington, Seattle, WA
Neil Caporaso, MD
,
Division of Cancer Epidemiology and Genetics, NCI, Bethesda, MD
Genome-wide association studies (GWAS) measure hundreds of thousands of single nucleotide polymorphisms (SNPs) across the genome and relate them to common diseases and traits. Once an individual's genome has been comprehensively characterized, it can potentially be related to any trait, not just the trait that was initially investigated. Many risk factors (e.g., obesity, smoking, low socioeconomic status) are common to multiple diseases yet GWAS designed to study associations between complex diseases and genetic determinants require large sample sizes that cannot be fulfilled by single studies. This talk will discuss (broadly) the different methodologic approaches research groups have used to overcome challenges and address opportunities associated with GWAS.
Learning Areas:
Basic medical science applied in public health
Epidemiology
Other professions or practice related to public health
Public health biology
Public health or related research
Learning Objectives: Identify different methodologic approaches investigators have used to analyze GWAS.
Keywords: Genetics, Epidemiology
Presenting author's disclosure statement:Qualified on the content I am responsible for because: I am qualified to present because I have expertise in phenotype harmonization.
Any relevant financial relationships? No
I agree to comply with the American Public Health Association Conflict of Interest and Commercial Support Guidelines,
and to disclose to the participants any off-label or experimental uses of a commercial product or service discussed
in my presentation.
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