Today's lecture is about the statistical aspects of genetics and how we can link traits (e.g., height, blood pressure, disease) to specific genetic variants
We'll go into some depth concerning the most commonly used mathematical / statistical models for genetics, and briefly touch on more complex extensions
In addition, we'll discuss how this works at the genome-wide scale and what has been learned from the collective efforts to do so ---
DNA vs. expression
The basic flow of information within a cell is as follows: