340.734.01 PRINCIPLES OF GENETIC EPIDEMIOLOGY 4
- Robert Wojciechowski
- Christine Ladd-Acosta
Discusses advanced topics in genetic epidemiology methods. Builds on the knowledge gained in Principles of Genetic Epidemiology 1-3. Students discuss the details of the methods they have learned, and are also exposed to cutting-edge topics not yet in the mainstream. Also covers emerging topics such as CNV analysis, epigenetic analysis, sequencing analysis, and admixture mapping. Students also carry out an independent analysis project through the term.
Upon successfully completing this course, students will be able to:
Evaluate the various approaches to gene-gene and gene-environment interaction, and enrichment analyses such as gene set analysis and pathway analysis.
Use public databases and bioinformatics approaches to data mining and annotation.
Evaulate the use of endophenotypes, extreme sampling, and other strategies to maximize the use of existing data.
Evaluate and compare design choices, laboratory methods, and statistical approaches for sequencing studies
- Thursday 1:30 - 3:20
340.733; 340.753, 140.623 or 140.653; or instructor consent