Lectures and readings on major areas of researach in contemporary human genetics
Presentations of literature and concepts related to disease mechanisms
Presentations of literature starting with Mendel through the present.
Introduction to human genetics research opportunities
practical training on the use of computers to analyze large-scale genetic data including both family- and population based study designs
Human Genetics: Consequences of Mendelian Transmission
Principles of gene segregation, meiosis and crossing over in mammals. Genetic linkage and genetic association analysis in gene mapping.
The course covers fundamental topics in human genetics and genomics, including human genome structure and analysis, mechanisms of inheritance, gene structure and function, indentifying genetic basis of diseases, molecular basis of genetic disorders, genetic therapies, and ethics in human genetics. Graduate students, residents, and fellows from medical genetics and other specialties who wish to acquire fundamental knowledge in human genetics and genomics and genetic basis of diseases are encouraged to attend this course.
This graduate course will focus on the biology of coronavirus infection, viral and host genetics, and what is known about pathogenesis with emphasis on vulnerabilities that could be exploited for treatment.
The course addresses the methodology, design, analysis, and application of pivotal technologies whose use and power in genetics is at this time essential for students to understand, including exapmles from the published literature.
We focus on classical papers - starting with Darwin and Mendel and working forward through the rediscovery of Mendelism, Morgan and the fly room, the foundations of population genetics, the modern synthesis, the foundations of molecular biology, the extent of variation, through to the discoveries of unanticipated and overlooked aspects of molecular biology including exons/introns, alternative splicing, and microRNAs
Project based, hands-on workshop frames an introduction to the baseline computational and statistical needs for HG students. It presents the students with exposure to unix scripting, GitHub, python, R, Basic Statistics / Data Analysis, bioinformatics, data processing for genomics among other topics
Thesis lab work
Students will learn hands-on methods of experimentation. Includes face-to-face interactions with faculty each week.