Pre-doctoral trainees are expected to undertake the required course work of their respective academic programs (e.g. Statistics, Biostatistics, Epidemiology). These courses will also be available to postdoctoral fellows and “retraining” scientists, but not required.
| Course Code | Course/Seminar Title | Instructor(s) | Comments/Description |
|---|---|---|---|
|
MGY470H |
Human & Molecular Genetics |
Dr. Michael Wilson |
Current aspects of human and molecular genetics including chromosome structure and function, the inheritance of mutations and disease, the human genome and disease gene mapping, cancer genetics, mouse disease models and gene-based diagnostics and therapies.
Course Webpage |
|
MSC2010Y |
Molecular Medicine in Human Genetic Disease
|
Dr. Lucy Osborne |
This course should encourage students to develop an approach to the genetic analysis, investigation and treatment of human disease.
Course Webpage |
|
N/A |
Genetic Epidemiology Foundations |
Drs. Todd Edwards and Stephanie A. Santorico |
This course is presented by the University of Colorado Denver in collaboration with the Vanderbilt Genetics Institute and the International Genetic Epidemiology Society. It is designed to provide students with the background and knowledge foundations necessary to conduct statistical analysis of genetic association study data.
Course Webpage |
|
MMG3002Y |
Biological Statistics |
Drs. Gary Bader, Philipp Kim, Hannes Röst, Lincoln Stein, and Johanna Carroll |
This course begins with an introduction to major computer programing concepts using the R coding language and the UNIX shell. Students are taught statistical theory and perform statistical tests using R to analyze biological datasets. |
|
MMG3203H |
Next Generation Sequencing – Data Analysis and Interpretation |
Dr. Ryan Yuen |
Students will learn how to use whole-genome sequencing technology to identify disease-causing mutations in complex human disorders.
Course Webpage |
|
MMG1308H |
Human Genome Analysis |
Drs. Ryan Yuen and Gregory Costain |
The course objectives are to understand the range of current human genome analysis methods, understand how technological advancements influence human genome research, and critically evaluate research papers that utilize genome analysis techniques.
Course Webpage |
Courses that introduce trainees to the basic concepts and principles of genetic epidemiology, statistical genetics, and population genetics. In the past, trainees successfully completed two required integrative courses, plus one required integrative seminar in statistical methods for genetics and genomics. Trainees may take additional, elective integrative courses at their own discretion.
| Course Code | Course / Seminar Title | Instructor(s) | Comments / Description |
|---|---|---|---|
|
STA480H |
Fundamentals of Statistical Genetics |
Prof. Lei Sun |
This course provides an introduction to the concepts and fundamentals of statistical genetics, including current research directions. The course includes hands-on experience with R programming and state-of-the-art statistical genetics software packages.
Course Webpage |
|
CHL5228H |
Statistical Methods for Genetics Genomics Research Seminar (SMG)
|
Drs. Shelley Bull and Andrew Paterson
|
The goals are to understand current developments in statistical genetics, genomics, and genetic epidemiology, identify key literature for study design and analysis, cultivate critical evaluation skills for theories and methods, and enhance communication and presentation abilities in interdisciplinary settings. |
Courses designed to develop cross-disciplinary skills and knowledge. In the past, trainees successfully completed at least two cross-disciplinary courses, aiming for breadth outside their own core disciplines. Suggested courses include, but are not limited to:
| Course Code | Course / Seminar Title | Instructor(s) | Comments / Description |
|---|---|---|---|
|
BCB420H |
Computational Systems Biology |
Prof. Boris Steipe |
Current approaches to using the computer for analyzing and modeling biology as integrated molecular systems. Lectures plus hands-on practical exercises. The course extends and complements an introductory Bioinformatics course.
Course Webpage |
|
CHL5121H |
Genomics, Bioethics and Public Policy
|
Prof. Abdallah S. Daar |
The course addresses the main bioethical and public policy issues associated with genomics and health biotechnology development. |
|
CHL5201H |
Biostatistics I |
Prof. Kevin Thorpe
Prof. Lennon Li
|
Intro to biostatistics for students in the biological sciences. Clinical trainees should consider taking this course. |
|
CHL5210H |
Categorical Data Analysis |
Prof. Rafal Kustra |
Based on examples from statistical genetics research. |
|
CHL5403H |
Epidemiology of Non-Communicable Diseases |
Prof. Robert Mann
Prof. Michael Roerecke
|
The course covers the epidemiology of selected chronic diseases/health conditions and their risk factors. |
|
CHL5409H |
Cancer Epidemiology |
Prof. Meghan Walker
Prof. Anna Maria Chiarelli
|
This is a seminar and guided-reading course for masters and doctoral students with a strongly focused interest or thesis topic in the area of cancer epidemiology. |
|
CSC456H1
|
High-Performance Scientific Computing
|
C. Christara, Department of Computer Science |
For trainees requiring more advanced programming skills.
Course Webpage |