Browse: Keyword: Genetic Disease

Abstract:: Case It! is an NSF-sponsored project to promote collaborative case-based learning in biology education worldwide. This paper describes the latest version of the Case It! simulation software (DNA gel electrophoresis, Southern blotting, and PCR). Students use these open-ended molecular biology computer simulations to analyze case studies involving genetic diseases, then discuss results with their peers at other institutions via web-based "poster sessions." They also use Case It! software to gather background information, analyze DNA and protein sequences, then create web-page posters and discuss them via a web editor /conferencing system at the Case It! web site (http://www.uwrf.edu/caseit/caseit.html).

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Abstract:: This course reviews the key genomic technologies and computational approaches that are driving advances in prognostics, diagnostics, and treatment. Throughout the semester, emphasis will return to issues surrounding the context of genomics in medicine including: what does a physician need to know? what sorts of questions will s/he likely encounter from patients? how should s/he respond? Lecturers will guide the student through real world patient-doctor interactions. Outcome considerations and socioeconomic implications of personalized medicine are also discussed. The first part of the course introduces key basic concepts of molecular biology, computational biology, and genomics. Continuing in the informatics applications portion of the course, lecturers begin each lecture block with a scenario, in order to set the stage and engage the student by showing: why is this important to know? how will the information presented be brought to bear on medical practice? The final section presents the ethical, legal, and social issues surrounding genomic medicine. A vision of how genomic medicine relates to preventative care and public health is presented in a discussion forum with the students where the following questions are explored: what is your level of preparedness now? what challenges must be met by the healthcare industry to get to where it needs to be?

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