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This is the preliminary program for the 2009 Joint Statistical
Meetings in Washington, DC.
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The views expressed here are those of the individual authors and not necessarily those of the ASA or its board, officers, or staff. Back to main JSM 2009 Program page |
= Applied Session,
= Theme Session,
= Presenter| CE_06C | Sat, 8/1/09, 8:30 AM - 5:00 PM | CC-209 A & B |
| Applied Statistical Genetics for Population-Based Association Studies - Continuing Education - Course | ||
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ASA, Section on Statistics in Epidemiology |
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| Instructor(s): Andrea S. Foulkes, University of Massachusetts | ||
| Recent technological advancements, coupled with extensive genetic sequencing efforts, have led to an explosion in the availability of molecular-level data for the study of complex diseases, such as cardiovascular disease and cancer. At the same time, the ongoing success of large-scale, genome-wide association studies has fueled interest and expanded our knowledge base for the conduct of improved candidate-gene studies. This tutorial introduces fundamental concepts and analysis tools for population-based investigations of genotype-trait associations, useful for medical and public health investigators. We will begin with an overview of genetic association studies and related genetic concepts (Unit 1). Topics covered include types of investigations, linkage disequilibrium and Hardy-Weinberg equilibrium, and the role of population substructure on associated measures and tests. Three analytical challenges common to these settings will be described, namely multiplicity (Unit 2), ambiguity in phase (Unit 3), and high-dimensionality (Unit 4). Select analytic approaches will be presented that specifically address these challenges, including multiple testing adjustments, haplotype reconstruction methods and tree-based approaches (including CART, random forests, and logic regression) for discovery of gene-gene and gene-environment interactions. Applications of R tools to publicly available data sets will be presented. A first course in statistics or biostatistics is assumed. | ||
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JSM 2009
For information, contact jsm@amstat.org
or phone (888) 231-3473. If you have questions about the Continuing Education program,
please contact the Education Department. |