Last updated: October 23, 2007
Designing Geneticists: Study Design Issues in Population-Based- Genetics and Genomics Research
American Society of Human Genetics 2007
San Diego, Calif.
October 23-27, 2007
Moderator: Emily L. Harris
National Human Genome Research Institute
Bethesda, Md.
Study design is a critical aspect of any research project. The study's purpose drives study design, influenced by practical issues. Genetic/genomic research increasingly uses population-based designs, such as case-control, genome-wide association studies, to study genetic susceptibility to common conditions and genetic influences on quantitative traits. Epidemiologic studies of such conditions now commonly include DNA collection and genetic information as part of the analyses. To effectively design and interpret such studies, knowledge of basic study design is critical as is an understanding of complications that genetic data introduce into such studies.
Crucial design decisions include case or outcome definition, control or comparison group definition, measurement methods and statistical analysis approach. Internal validity is imperative, and methods for assessing potential biases desirable. These presentations discuss basic study design choices and rationale; designs to maximize internal validity and external validity; gene-environment interaction; and how to look for and minimize bias.
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Agenda |
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Introduction Emily L. Harris, Ph.D., M.P.H. Population Genomics National Human Genome Research Institute Slides |
Case-Control and Cohort Study Designs Moyses Szklo, M.D., M.P.H., Dr.P.H. Department of Epidemiology Bloomberg School of Public Health Slides |
Maximizing Internal and External Validity in Epidemiology Studies Robert Hoover, M.D., Sc.D. Division of Cancer Epidemiology and Genetics National Cancer Institute Slides |
Evaluating Potential Bias in and Interpreting Results from Epidemiologic Designs Teri Manolio, M.D., Ph.D. Population Genomics National Human Genome Research Institute Slides |
Evaluating Potential Bias in and Interpreting Results from Epidemiologic Designs Ellen Wijsman, Ph.D. Division of Medical Genetics and Department of Biostatistics University of Washington Slides |
Questions and Answers Emily L. Harris, Ph.D., M.P.H. Population Genomics National Human Genome Research Institute Slides  |