02-744 Introduction to Statistical Genetics

12 units, Carnegie Mellon University

This course will cover quantitative topics in human statistical genetics, including the HapMap project, linkage disequilibrium, population structure and stratification, natural selection, genome-wide association studies, estimating and partitioning heritability, association testing, statistical fine-mapping, disease gene mapping, expression quantitative trait loci, single-cell genomics, and polygenic risk prediction. The course will emphasize hands-on analysis of large empirical data sets, thus requiring prior experience with a general-purpose high-level programming language such as Python. After taking this course, each student will have the experience and skills to develop and apply statistical methods to population genetic data.

Prerequisites: (15-112 or 02-120) and (36-236 or 15-259 or 15-260 or 36-218 or 02-680 or 36-226)

Offered: Fall 2026, Fall 2025

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