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

Study level:
Postgraduate studies
Grading scale:
Pass - fail
Responsible organisation:
Faculty of Mathematics and Science
Curriculum periods:
2020-2021, 2021-2022


  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.

Learning outcomes

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.

Description of prerequisites

Basic level familiarity with the R software, with linear regression and with statistical inference.

Completion methods

Method 1

Select all marked parts
Parts of the completion methods

Participation in teaching (2 cr)

Participation in teaching
Grading scale:
Pass - fail
Study methods:

Participation in the lectures and exercise work with R software to be returned after the course

No published teaching