TILJ5103 STAT1: Statistics of Genome-wide Association Studies (JSS30) (2 op)

1. Statistical concepts in genome-wide analyses: From significance and power to probability of association.
2. Genetic population structure, confounders and covariates.
3. Statistical fine-mapping via variable selection.
4. Most recent methods for biobank-scale data sets including linear and logistic mixed models for 10^5 individuals x 10^7 genetic variants x 10^3 outcome measurements.

By the end of the course, the student:

• understands the statistical inference framework for genome-wide data analysis: how to quantify uncertainty and what are common sources of biases.
• is able to utilize the statistical summaries of genome-wide analyses in downstream analyses such as fine-mapping.
• is aware of most recent approaches available for genome-wide analyses of biobank-scale data sets.