Quantitative Genetics for the 21st Century

Undergraduate / Graduate

This course has three parts. In the first four weeks, we take a deep look at some fundamentals of quantitative genetics, focusing on underlying mathematical theory and causal interpretations of basic quantitative genetic models. These include the breeder's equation and related descriptions of the response to natural selection, various methods of estimating heritability, GWAS methods accounting for environmental effects, and explicit causal inference methods like Mendelian randomization. In the next three weeks of the course, we discuss the scientific opportunities and pitfalls of applying these fundamental quantitative genetic tools in challenging settings. This section covers phenotypic prediction with polygenic scores, inferences about quantitative trait evolution, and the application of quantitative genetic tools to complex social traits like educational attainment. Finally, in the third section we examine the relationship between race, genetics, and complex traits. In this section we discuss definitions of race and how they are (or are not) related to genetics, as well as ongoing legitimate scientific debates over how racial classifications are used in medicine. We will also critique pseudoscientific arguments about the relationship between race, genetics and complex traits.